195 96 8MB
English Pages 123 Year 2001
Lecture Notes in Mathematics Editors: J.-M. Morel, Cachan F. Takens, Groningen B. Teissier, Paris
1757
3 Berlin Heidelberg New York Barcelona Hong Kong London Milan Paris Singapore Tokyo
Robert R. Phelps
Lectures on Choquet's Theorem Second Edition
123
Author Robert R. Phelps Department of Mathematics Box 354350 University of Washington Seattle WA 98195, USA E-mail: [email protected]
Cataloging-in-Publication Data applied for
The first edition was published by Van Nostrand, Princeton, N.J. in 1966 Mathematics Subject Classification (2000): 46XX ISSN 0075-8434 ISBN 3-540-41834-2 Springer-Verlag Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Violations are liable for prosecution under the German Copyright Law. Springer-Verlag Berlin Heidelberg New York a member of BertelsmannSpringer Science+Business Media GmbH http://www.springer.de © Springer-Verlag Berlin Heidelberg 2001 Printed in Germany Typesetting: Camera-ready TEX output by the authors SPIN: 10759944 41/3142-543210 - Printed on acid-free paper
Preface
First
to
Edition
notes expanded version of mimeographed for a seminar 1963, at the prepared originally during Spring Quarter, of Washington. with to be read by anyone They are designed University of theorem the the Krein-Milman and Riesz a knowledge representation and measure theorem analysis theory implicit (along with the functional of these theorems). The only major theorem in an understanding which is is in of the measures" Section used without one on "disintegration proof
These
notes
are
revised
a
and
15.
inor helped, directly of these He has especially in the preparation benefited notes. directly, from the Walker-Ames of Washington lectures in the at the University G. of Professor from the and the at summer same Choquet, 1964, by stay P. A. Meyer. He has received institution during 1963 by Professor helpful comments from many of his colleagues, Professors N. as well as from who used the earlier in a seminar Rothman and A. Peressini, version at of Illinois. the University Professor he wishes J. Feldto thank Finally, of the unpublished the inclusion in Section material man for permitting and ergodic 12 on invariant measures. A note to the reader: of the theory are Although the applications the for needed interspersed they are never subsequent notes, throughout material. Thus, Sections 2, 5, 7, 9 or 12, for instance, may be put aside for later without reading (To omit them encountering any difficulties. off from its many and interesting however, would cut the subject entirely,
author
The
with
connections
indebted
is
other
parts
to
of
many
people
who
mathematics.)
R. R. P.
Seattle, March,
Washington 1965
Preface to Second Edition
delightful Belgian canal trip during a break from a Mons University conference in the summer of 1997, Ward Henson suggested that I make available a LaTeX version of this monograph, which was originally published by Van Nostrand in 1966 and has long been Ms. Mary Sheetz in the University of Washington out of print. Mathematics Department office expertly and quickly carried out the difficult job of turning the original text into a LaTeX file, providing the foundation for this somewhat revised and expanded version. I am delighted that it is being published by Springer-Verlag. On
a
Since 1966 there has been
a
great deal of research related
to
Choquet's theorem, and there was considerable temptation to init, easily doubling the size of the original volume. I decided against doing so for two reasons. First, there exist readable treatments of most of this newer material. Second, the feedback I clude much of
have received
the years has indicated that the small size of the first edition made it an easily accessible introduction to the subject, suitable for first
closely
one-term seminar
original text, but
merely suggestions and
have received
some newer
some
other
in the
results which more
summarized in the final section. It also
number of
in this
(of the type which generated it
This edition does include
related to the
terial is a
a
place).
over
recent
are ma-
incorporates
corrections to the first edition which I
the years. I thank all those who have helped me especially Robert Burckel and Christian Skau (who
over
regard, have surely forgotten the letters they sent me in the 70's) as well as my colleague Isaac Namioka. Of course, I'm the one responsible for any new errors. I am grateful to Elaine Phelps, who tolerated my preoccupation with this task (during both editions); her support made the work easier.
R. R. P.
Seattle, Washington December, 2000
Contents
Section
Page Preface
.
I
Introduction.
2
Application
gral
.
.
.
.
.
.
.
.
.
.
.
.
.
The Krein-Milman
theorem
representation of
the
4 5
6 7 8 9
10 11 12
13
.
.
.
.
.
.
Krein-Milman
as
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
to
.
.
.
.
.
theorems 15
Orderings
16
Additional
.
.
of
Index
.
.
.
.
.
.
.
.
.
.
.
.
.
.
dilations
and
Topics
References Index
.
.
.
.
.
.
symbols .
.
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.
.
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.
.
.
of .
.
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.
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.
.
measures .
.
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9
com.
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.
13
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17
.
25
.
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27
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35
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39
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.
47
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51
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65
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73
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79
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88
93
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1
.
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.
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.
.
v
.
.
.
.
inte-
an
theorem
.
.
monotonic functions pletely theorem: The metrizable case Choquet's The Choquet-Bishop-de Leeuw existence theorem and Haydon's to Rainwater's theorems Applications A new setting: The Choquet boundary of the Choquet Applications boundary to resolvents The Choquet boundary for uniform algebras The Choquet boundary and approximation theory of representing measures Uniqueness of the resultant Properties map and ergodic to invariant measures Application A method for extending the representation theorems: Caps A different method for extending the representation .
14
.
.
theorem
.
3
.
.
.
.
.
.
.
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.
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.
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.
101
.
.
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.
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.
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.
.
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.
115
.
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.
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.
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122,
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.
123
Introduction.
1
The Krein-Milman
representation
simplest
The
example
of
is
the
following
page
7).
be concerned exercise
on
If
X is
E,
space
of
bination X1i
)
...
compact
a
if
and
is
x
a
classical
as
integral
an
of
finite-
a
of X, Thus,
X.
x
dimensional
is
there
p,....
i
finite
a
exist
convex
=
the
vector com-
points
extreme
Ek/t,1
Pk with
will
we
(see
of Minkowski
then
numbers
positive
of
which
with
type
result
subset
element
points
of the
theorem
convex
an
extreme
Xk and
theorem
theorem
that
I such
We now reformulate this representation of x as an "inteEpixi. For any point y of X let Ey be the "point mass" gral representation." at y, i.e., the Borel is which I Borel subset measure on any equals -y of X which contains and otherwise. 0 equals Abbreviating y, .5,,, by let Borel measure on X, p > 0, EpjEj; then p is a regular Ej, p and p(X) 1. Furthermore, for any continuous linear functional f on E, we have is f (x) (Epif (xi) =) fx f dp. This last assertion x
=
--
=
-
what
cally
convex
M
is
A point
for
said
IL(f)
for "x
fX is
f d[t, the
The restriction of
existence
Later, Borel
we
will
measures
be
to
a
Borel
measure
represented
that want
suffice
X, I-t(X) by p if f (x) fX f dp can
locally
is
consider
for
the
R.R. Phelps: LNM 1757, pp. 1 - 8, 2001 © Springer-Verlag Berlin Heidelberg 2001
=
simply
E* to
point on
other
will
sometimes
(Other
resultant
the
is
in one
(We result.)
E.
convex
measures
present.
(That 1.)
X.
on
with
on
functional f on no confusion "x barycenter of p,
many functionals there is at most to
measure
lo-
a
=
when
E be
of
subset
compact
probability
"
that
sufficiently
guarantees
p is
x.
nonempty
a
linear
continuous
minology:
this
and that
represents
p
X is
regular
E is
in
x
every
write
that
nonnegative
a
that
say
we
Suppose space E,
DEFINITION.
is,
when
we mean
to
separate
represented a-rings,
of insure
terp.
")
the
points; by p. but
the
Lectures
2
that
Note
for
each
"supported"
If Hau8dorff supported
DEFINITION.
compact that
is
/-t
fact
is
/-t
by
space,
which
measure
is
of X.
regular
S is
X and
space
dimensional
probability
a
nonnegative
a
finite
a
Theorem
represented by Ex; the the above example by
out
X of
subset
convex
X may be represented by the extreme points
in
x
compact
a
trivially brought
X is
in
x
(and important)
interesting is that
point
any
Choquet's
on
Borel
a
by S if [t(X \ S)
Borel
measure
of X,
subset
on
the
we
say
0.
=
which concern us: If X problems sub-set is a compact convex convex E, and x i's of a locally space does there exist element measure a an probability of X, /-t on X which is supported by the extreme points of X and which represents under is it unique? x? If /-t exists, Choquet [17] has shown that, the first X be metrizable, that the additional question hypothesis We may
has
[9]
de Leeuw
the
of
a
to
translate
will
It
in these
also
Bishop-de Y be
Let
of all
of all
set =
I
=
JIL11. E
space
convex
theorem
asserts
probability C(Y). By
measure a
X is
C(Y)* [t
on
embedding y of X, so we may
Borel
subsets
of X which
Bishop
is
affirmative
integral
place
in
worthwhile
seems
the-
representation
which we language is quite natintegrals of Choquet theorems
the of
use
Krein-Milman
compact
(in
theorem.
---
consider vanish
L(f) 442], at y))
that
[28, (evaluation /-t on
topology)
X there
L in
p.
as
a
the
of the
subset
convex
weak*
its
Y such
and
than
measures
space,
theorem
natural
points
a
each
to
well-known
second
C(Y) the Banach functions on Y (supremum norm), L on C(Y) such functionals linear
continuous
that
Riesz
how the
the
Hausdorff
Then
It
into
the
exactly
generalize
compact
=
(the
theorem)
real-valued
continuous
X the
L(1)
a
a
an
artificial.
bit
instances
make clear
Leeuw
of
introduction
theorems
Krein-Milman
the
first
the
X).
on
was
of X.
general question
more
the
to
to
answer
property
allow
we
hypotheses the example,
combination
introduced;
and
if
answer
two well-known
and
ural.
the
affirmative
an
geometrical
shown that then
above
convex
have
the
have
additional
In
while
certain
on a
measures,
(without
the
answer,
depends
question
orem
formulate
affirmative
an
Borel
now
and
the
space
and that
locally Riesz
a unique corresponds fy f dM for each f in Y is homeomorphic (via =
with
probability open
set
the
set
of extreme
measure
X\
on
the
Y, and hence
Section
3
Introduction
1.
supported by the extreme points of X. One need only recall functionals linear that on C(Y)*, E*, the space of weak* continuous L of form the functionals of all those -* consists L(f) (f precisely theorem of the this is a representation to see that in C(Y)) in order type we are considering. in the above paragraph There are two points which, it should be situation. of the general not characteristic are First, emphasized, X formed of the extreme a a compact (hence Borel) subset; points the representation was unique. second, (We will return to these that It is clear measure points a little /-I on later.) any probability which is in functional linear Y defines on -4 a C(Y) (by f fX f dl-t) next X. This fact is true under fairly as the general circumstances, linear from function recall that shows. result one a 0 First, space to another is affine A)O(y) provided Ao(x) + (1 O(Ax + (1 A)y) is
/-t
=
-
for
x, y and
any
Suppose
PROPOSITION 1.1 space
If
/-t
is
a
x
in
X is
PROOF. a
point
Hf to
=
Y is
of
subset
compact
a
hull
We want such
x
fy
that
locally
a
of compact. E, and that the closed convex there exists then a on measure point unique Y, probability which is represented by /-t, and the function M --+ (resultant weak* continuous an affine map from C(Y)* into X.
convex
of [i)
-
A.
any real
f (x)
that
show that
fy
=
M(f ) 1; n f Hf : f E
f (y)
:
show that
to
the
f dl-t
these
=
E*
I
compact for
n X is
Y is
set
convex
f in E*. hyperplanes,
and
Since
nonempty.
X contains
f, let
For each
each
closed
are
X
we
want
X is compact, n
it
suffices
to
T:
then
T is linear
It suffices
0
If p
to
this
means
g
Since
-
Eaifi,
-+
Rn
and
by
Ty
=
a
linear
TX; representing that
(a,p) then
Y C X and
>
the
I-t(Y)
.
.
,
fn
E*,nHf,
in
n X
last =
p
=
:
assertion
1, this
(M (fl),
on
is
y E
Xj-
becomes
impossible,
p
(f2),.
a
If
=
(a,,
we
.
convex.
(fn)).
/,t
.
strictly
Rn which
by
functional
supf(a,Ty)
and
TX is compact
functional the
fn (0);
i
so that continuous, where E TX, p,
exists
.
(h (Y) f2 (Y))
show that
TX there p and
rates
by
E
fi,
set
define
end,
To this
is nonempty.
any finite
for
show that
a2
define
fygdtL and the
,
sepa-
-
> sup
first
-
,
g in
an), E*
g(X). part
of
Lectures
4
proof
the
measures sure
X is
let
compact,
f (xe)
=
(f )
I-t,3
--+
hypothesis
The
E in which
spaces
(f )
X,
y
net
in
C(X)*
to
the
=
their
to
x.
M0 converges for each
every
-+
xp
to
p, since
E*;
in
say,
y,
and
hence
the
latter
x.
X be closed
may be
compact
of
hull
convex
avoided
compact
a
if E is complete, or if E instance, obtained by taking a Banach space in its
space
if
weak*
f
Since
show that
to
But
for
compact;
probability meaprobability
resultants.
suffices
it
x
Theorem
of
/_t,
respective
converges
f (x)
=
that the
the
--+
x,,
subnet p
of
points
separates
is the
weak
those
in
always convex locally topology [28, set
is
434].
p.
A simple, a
xp
that
weak*
of x,
corresponding
the
next,
denote
x
show that
to
subnet
convergent then
Y converges and x,,
on
and
p,
Suppose,
complete.
is
Choquet's
on
compact
but set
can
useful, be
of the
characterization
given
of
in terms
closed
of
barycen-
and their
measures
hull
convex
ters.
PROPOSITION 1.2 space
convex
Y
if
and
represents
A
E.
if
only
there
that
exists
Y is
E is
in a
closed
the
probability
of
subset
compact
a
in
convex
measure
/-t
on
a
locally
hull
X
of
Y which
x.
PROOF. If /-t is a each f in E*,
for is
Suppose point x
and
closed
probability f (x)
measure
=
it
convex,
M(f
follows
)
:! that
Y which
on
sup x
f (Y) is
in
:! X.
represents
x,
f (X). Conversely,
Since
sup
if
then X x
is
to X, there exists a net in the convex hull of Y which converges form of the there exist points Equivalently, E '-,M'x ' y, y, 1, xi' in Y, a in some directed set) which converges (Ai' > 0, EAj' each y,, by the probability We may represent to x. measure /_t, the set of all probability the Riesz theorem, EM'E' measures on By Xi of C(Y)*, subset with a weak*-compact Y may be identified convex Of the weak* and hence there exists a subnet (in Aa converging pp of C(Y)*) to a probability measure topology p on Y. In particular, lim f (y,3) to Y) in C(Y), each f in E* is (when restricted so lim f f d[tp f f dp. Since y, converges to x, so does the subnet hence and f (x) fy f d1L for each f in E*, which completes the y,6, proof.
in
x.
=
=
Z
.
=
=
=
Section
The
proposition
above
Milman
5
Introduction
1.
makes
Recall
theorem.
the
it
reformulate
to
easy
If
statement:
X is
the
compact
a
Kreinconvex
hull then X is convex convex locally space, is the following: Our reformulation Every of its extreme points. is the convex point of a compact convex subset X of a locally space which X is on measure by the supported of a probability barycenter of these closure of the extreme points of X. To prove the equivalence Let Y in X. is and that holds the former x two assertions, suppose of X; then x is in the closed of the extreme be the closure points of hull of Y. By Proposition convex 1.2, then, x is the barycenter the obvious If extend Y. we measure a probability way) p (in M on the second result. the desired to X, we get Conversely, suppose
of
subset
the
a
and
valid
is
assertion
by Proposition
1.2,
x
that
x
is in the
Then
X.
in
is
closed
(defining hull
convex
closed
of
Y
Y,
as
hence
above) in the
points of X. theorem now using measures any representation than by their closure) supported by the extreme points of X (rather Klee In theorem. of the Krein-Milman is a sharpening fact, [50] closed
has
shown
that
convex
in
a
(which
sense
of
subset
of its
closure
extreme
that
clear
is
compact the
of the
hull
convex
It
an
he makes
dimensional
infinite
such
For
points.
extreme
precise) sets,
almost
Banach the
then,
every is
space
Krein-
than the "point representation gives mass" representation. The problem of finding measures by the extreme points supported of X arises mainly from the fact that the set of extreme points need in case X is is avoided This difficulty set [9, p. 327]. not be a Borel result. as shown by the following metrizable, Milman
no
PROPOSITION 1.3
topological PROOF.
vector
Suppose integer
If
X is
then
space,
that
a
the
more
information
compact convex subset of points of X form a Gj set.
metrizable, the
extreme
topology
of X is
given
by
the
a
d,
metric
n Fn z), 2-'(y fx and each Fn is closed, that checked It is easily X, d(y, z) ! n-'j. if it is in if and some not extreme that Fn. a point x of X is only is of the extreme the an F,. points complement Thus, have the trivial measure that Recall we always representing Ex it is of then If extreme X. is of not for a point an x x X, point
and
for
each
!
I let
=
:
x
=
+
y and
z
in
Lectures
6
easily
that
seen
there
points of representing
other
measures.
(BAUER [4])
PROPOSITION 1.4 vex
subset
an
extreme
of locally point of a
probability
measure
for
that
I-t(D)
>
that
there
0 for
=
0 for
neighborhood that
M would
X
each
for /-tl IL
(K)
+
rp,
-
M(K)
=
K.) Thus, r-lp(B n K) B in
set
we
(I
that
see
r)A2,
-
X.
define
Let
which
=
be
xi
E K
x,
Borel
A2(B)
and
and
implies
1, then
=
the
that
the
=A
x, x
=
the
follows
0 for
every
compact
and
resultant
x
M, and A2
of on
(X \ K))
n
of /-ti;
since
Furthermore,
x.
(I
+
rx,
by show
neighborhood
resultant
hence
that
Suppose
>
r)-'M(B
-
only
to
jxj.
measures
(1
the
of D it
M(U n X)
that
/_t)
of
compactness
(If p(K)
< 1.
we can
=
1,
the
y of D such
point
< r
Borel =
D;
from
is
is
x
supported
M is
D C X\
D with
con-
Then
of X and
regularity
the
to
set
ex
show that
to
(due
mass
=
be in
by pl(B)
point
X.
U of y. Choose U to be a closed convex The set K is K U n X C X \ f xj.
and 0
convex,
extreme
compact
a
E
x
point x.
compact
such
the
X is
that
represents
an
suffices
each
some
if
We want
it
some
is
of y such
this,
is
x x.
that
E and
only
and
X which
that
M represents
f xj; I-t(D)
set
if
X
Suppose
space
convex
on
Suppose
PROOF. measure
the
are
Theorem
Indeed, the they have no
measures. representing characterized by the fact that
other
exist
X
extreme
Choquet's
on
-
r)X2,
a
contradiction. It
the
interesting
is
to
Krein-Milman
Propositions smallest
and
1.2
closed
of
closed in
the
convex
closure
of
there /-t
=
Indeed, exists Ex.
It
[28,
p.
of X which
convex
of
Milman's
implies
it
(Milman)
locally hull
PROOF.
1.2, 1.4,
a
1.4;
subset
PROPOSITION 1.5
subset
that
note
theorem
440] that
the
space,
an
that
that Z C
extreme
"converse"
easy
Y
=
a measure
follows
that
of
closure
X is
a
X is
ex
X,
and
points
of
compact that
X
cl Z and suppose x E exX. x; /,t on Y which represents x
E Y.
of
consequence
the
are
convex
X is
the
contained
Z.
let
to
X.
generates
Suppose
Then the
Z.
classical
is
By Proposition by Proposition
Section
1.
7
Introduction
example of a dimensional X of a finite E, in order compact convex subset space of integral the question to illustrate uniqueness concerning repreis X that is sentations. or more a generally, plane triangle, Suppose Y of E, that is, X subset the convex hull of an affinely independent Y is is a simplex. no point provided independent affinely (A set y follows It then Y in Y is in the linear by variety generated \ Jyj.) that Y is the set of extreme from the affine points independence of X has element of X, and that a by unique representation every To conclude
a
10.10)
(Proposition of X has will
us
to
not
a
It
(among
is
difficult
not
then
Section
of the
10
to
some
will
we
show
element
give
an
which "simplex" Choquet's uniqueness
of
notion
things)
other
the
to
simplex,
In
representations.
prove
return
of Y.
generalization
dimensional allow
if X is
that
such
two
we
of elements
combination
convex
infinite
introduction,
this
that for a metrizable which states compact convex set X theorem, of has X each point in a locally a unique convex representing space, if X is a if X of and the extreme measure only points by supported simplex. of the Krein-Milman In the next section an application we give to make some general Before theorem. doing this, it is worthwhile theof the various remarks representation applications concerning of that the objects to recognize It is generally not difficult orems.
form
interest
a convex
X of
subset
some
linear
space
One is then
E.
for topology and at the same time yields E which makes X compact sufficiently the assertion functionals linear so that "A repremany continuous the extreme x" has some content. sents points of Second, identify has by the extreme points" "p is supported X, so that the assertion faced
a
with
useful
two
problems:
find
First,
a
locally
convex
interpretation. EXERCISE
Carath6odory's
Prove a
compact
in X is
(Hint:
Use induction
X, there and
the
exists
latter
of
combination
a convex
a
set
form
sharper subset
convex
on
the
supporting has
an
of Minkowski's
n-dimensional
of at
most
dimension.
hyperplane
dimension
at
most
theorem:
space
E,
+ I extreme x
a
H of X with n
-
1.
If X is
each
points of boundary point
n
If
is
then
If
x
x
is
in an
Hn interior
x
X.
of
X,
Lectures
8
X, choose an extreme point the segment [y, z] for some boundary point
of
on
Choquet's
y of X and
point
z
of
X.)
note
Theorem
that
x
is
in
2
of the
monotonic
functions
A real
valued
f
function
theorem
Krein-Milman
Application
(0, oo)
on
is
said
to
be
to
completely
completely
mono-
and if f, f (1), f (2).... and nonThus, f is nonnegative (_ 1) f (n) > 0 for n (n). each of the functions [Some examples: is as (-l)nf increasing, fundamental a Bernstein ! S. e-x represenx-a and proved 0).] (a for such functions. theorem tation (See [821 for several proofs and We will prove the theorem only for bounded much related material). if
tonic
f
has
0)
derivatives
n
=
f 0, 1, 2.....
of all
=
orders
functions to unbounded the extension repre(with infinite functions; from this by classical follows [821. We arguments measures) senting of [0, oo) by [0, oo]. the one-point denote compactification THEOREM(Bernstein). on on
(0, co), [0, oo]
then
such
If f
there that
exists
/_tQ0, oo])
-
f W
=
(Note
that
the
converse
is
unique
a
true,
monotonic completely Borel measure nonnegative and for each x > 0,
bounded
is
I
f (0+)
and
p
00
e-ax
since
dp(a).
if
a
function
f
on
(0, oo)
can
under the integral then differentiation sign as above, represented monotonic. is that Moreover, follows it and is possible, completely f to the theorem dominated the convergence Lebesgue by applying that we see p([O, co]), so f functions a _+ e-a/n f (0+) fo' dl-t The idea of the proof is due to Choquet [16, Ch. VII], is bounded.) in a much more general results setting. who proved this and related the of sketch We start proof. by giving a funcmonotonic Denote by CMthe convex cone of all completely funcmonotonic tions f such that f (0+) < oo. (Since a completely allimit at 0 always this right-hand exists, tion f is nonincreasing, in CM those of set be the K Let convex f though it may be infinite.)
be
=
R.R. Phelps: LNM 1757, pp. 9 - 12, 2001 © Springer-Verlag Berlin Heidelberg 2001
=
10
Lectures
such
that
suffices
to
of the
f (0+)
0. =
For
0.
>
-
+
so
(X)
_
(_ I)nf
(n)
(X
+
X0)]
that
we
oo)
=
must
(so
+ b
< I
or
have that
and
Furthermore,
(_ I)nf
+
that
continuous a
b) f (0+)
! - 1.
0,
=
is
f (xo)
b
0, let
>
shown
case -ax
x
(n)
(X
(n)
f
+
X0)
U) (n) (X) (n)
the
oc).
whenever
a.
to
f (0+)
n
=
is
some
and =
ex
:! -
"iterated
of
of K.
points
Suppose that this implies extreme,
f (x)f (xo) implies
remains
1), u) (0+)
(_ 1) (f
f
Since
E
a
completely
is
it is easily pointwise, Tychonov product
f (x)f (xo).
-
this
e-cx
=
a
-
-
f
that
xo)
+
E K.
u
on
(f
f (x
=
x
the
is
K.]
of
identify
This
functionals
sequence
defined
are
(0, oo).
on
function
a
certain
topology,
compactness is to
that a
these
in this
step
-
151]
p.
since
CMis closed
that
seen
convergence the evaluation
satisfies
if it
only inequalities;
monotonic
[82,
known
is
if and
may be obtained
above
the
from
proof different of pointwise topology and, of course, convex,
compactness
by using the also locally
the
with
follows.
result
desired
on
that
such
a
(a/2)
(a/2) (_1)n+lf and the
(')
that
shows
>
0) of K into
(r
points,
extreme
By
what
we
for
some
a
is
have
and hence
Since
(and
extreme
proof
the
We now finish It
[0, oo]
into
also
is
f
m on
is
the
K such L
=
M
f (x)
--
T).
fex f
=
measure
v([O, oc]) on
I
the
function
e-clx
under
T,
exponentials clearly extreme),
are
for
map T:
K
bounded
are so
func-
e-a0
-+
a
--
[0, oo]
f (0+).
[0, oc].
Since
as
linear
A separates it
that
>
from
points in
fT-1(ex for
K)
x
on
Lx dm for each
T >
d(m
a
a
-+
(x
>
0)
and
is contin-
e-clx
/-t and
of the v
Stone-Weierstrass -
second
QO, oo]) generated
C[O, oo], p
m(TB)
T)
o
exists
combinations
the
=
0.
C-axdv(a)
0
of
so
o
there
function
linear
[0, oo], QO, oo]),
Lx
Suppose
0 the
K
functional
have
each
=
fex
==
linear
continuous
evaluation
[0, oo] by p(B)
we
subalgebra
functionals
is dense
e-ax,
of finite
of
the
B of
unique. f (x)
x
A be the
A consists
and
that
p is
For each
Let
=
each
f (x)
that
so
dy(a)
such
0, then
=
Lx dm
e-ax
L dm for
subset
L,,(Ta)
that
prove
on
functions;
functions
implies
to v
E,
Borel
Since
K
>
x
on
each
M on
fex
=
Now, if
E.
is continuous
mo
remains
)
L (f
(0
A.
0,
form
the
theorem
show that
to
00
these
all
0 and
proof of Bernstein's
that
on
Define
0.
uous
of this
>
r
functions
difficult
not
f W
It
each
of its
is nonconstant.
is of the
point
-a,x
hull
convex
which
one
extreme
image
for
closed
K
ex
since continuous; [0, oo] is compact, its image ex K By the Krein-Milman to representation theorem, K there Borel probability a regular corresponds measure
in ex
Lx (f )
(i.e.,
least
carries
K is
functional
>
is
T, T, is
Since
compact.
each
x
transformation
complete.
is
tions.
the
constant
nonnegative. the
the
it at
this
holds
this
is
consider
has
proved,
just
0,
>
extreme.
the
and therefore
latter
=
onto,
itself.
the
Theorem
by (T, f ) (x) f (rx). convex it combinations,
defined
itself
and preserves Since K is compact,
one-to-one, onto
nonincreasing, reverse inclusion,
Choquet's
on
v.
are
by same
equal
on
theorem
Choquet's
3
The metrizable
theorem:
case.
for theorem Choquet's representation X. This is actually of the general metrizable case a special Choquetbut short its is it Leeuw and Bishop-de proof theorem, quite gives us to introduce an opportunity some of the machinery which is needed this
In
section
in the
I Ah(x) that
(I
+
h is
h is
that
h is
The function
C.
that
A is
the
constant x
contains
if for
a
a
--
f (x) + sufficiently
The function
following f
r,
If f
jh(x) useful
is concave,
:
-f
is upper
Banach
to
which
>
is called
to
is open,
functions
C(X)
space
r
bounded
f
=h
x
said
is
[: ,
=
We say if convex
1.
strictly
Al
0,
then
semicontinuous,
g and
thenrf
If
-
j =rf.
Ilf
-
g1j,
14
Lectures
proofs
The manner
from
of most
from
fact
the
sertion
that
(b)
in
may be
K
is closed
and
proved
second
of
set
I(xi)
0.
(h
Define
a
A,
real).
in
r
linear
functional We will
show
on
B
that
Section
Choquet's
3.
functional
this
rl(xo)
h(xo)
+
then
h +
rf
is
dominated
:-
(h
h +
=
concave,
and hence
theorem,
then,
m(g)
that
=
j(x0)
M(h)
=
p(j),
!
-
there
>
exists
m(g) p(l), so
I(xo).
I-t(f).
f
It
is
/-t
,
=
continuous.
i.e.,
1,
0, then
that
m(l) m(f)
I
M(f)
other =
that
g :! -
C(X)
m on
m(h+rf)
and
M on X such
Furthermore,
h(xo)
functional
linear
functions
we see
On the
and
.
a
C(X),
C(X)
measure
A,
1 c
exists
on
Riesz
Borel
=
nonpositive theorem, representation
nonpositive the
rf ) (xo) for each h in A, r in R. If r 2! 0, rf, by (b) and (c), while if r < 0, then h + rf is h + rf > h + rf h + rf By the Hahn-Banach
for g in
If g E
E R.
r
that
i.e.,
p,
+
there
g(xo)
!-
functional
by the
B
on
15
Case
The Metrizable
Theorem:
j(x) I f complement in the set .6 is contained that the proof by showing We complete where if X. of + 1z, x ly of extreme y and z Indeed, points 2 2 that of f implies distinct convexity are points of X, then the strict 1 1 .1 1 < f W< 2 (Y) + 2 W 2 1(y) + 2 RZ) 5 AX) p vanishes
that
of S
the
on
x
-
f (x)
:
=
-
=
-
to note (and will be useful later) that interesting with the set of extreme coincides points f (x) I actually of the next proposition. is a consequence
Ix
such
that
It is
If f
DEFINITION.
A(f) for
each
M and
A,
in
PROOF.
f (x)
f'
/-ta
we
To
see
Ex,,,
=
f (x)
is
1.
-
that
prove a
net
that
such
It
if
is
is
x
f(x)
>
r
from
:
the
from
a
that E.
point 6 >
By
the
This
p(f)
compact
x,
of
p
:
/-t
-
Exj;
we
that
Indeed, each
0 and for
Exj.
To
1.4.
definition with
-
con-
X.
Proposition
semicontinuous. to
-
point
supf/,t(f)
easily upper
on
supff f dM
=
extreme
=
! r, suppose
pa(f)
I(x)
f'(x)
in X converging
that
function
an
-
A.
follows
follows it
/-t
X,
in
x
let
that
-
each
measures -
continuous
a
assertion,
show
say.
is
write
assertion
first
f x, I
will
second
the
that
we
The
prove
concave;
for
then
X, Consequently, set
vex
are
If f
PROPOSITION 3. 1
probability
A
f (x)
:
of X
weak* -compactness,
f'
is
suppose
f '(x,,)
each
must
a
: ! r, choose
there
16
Lectures
exist
probability
a
converges
(x,3) f(x); f (x, r)
g
-+
it
as
h(x)
>
in
if h is in
p(h)
f ;5 f '
=
a
!
r
I
is closed
(b) (above), A,
I-t(f).
x
in
It
g(xa)
conclude
is
that
f'(x)
which f/-t,f -4 1,z(g); since '< M(f ) ILp (f ) of
=
sernicontinuous, R; using the same f < f. On the other
that for
p
y in
measure
To find
:
v
Was
a
be
>- /,t,
maximal net
is a
p
maximal
then
v
element
(the
Al.
-
maximal
>-
of
directed
A, Z,
4.
"index
set"
being
weak*
the
in
exists
[to
po in
the
po is
have
yo c- Z.
is
used
here.
X, choose
in
above,
they used
an
The notion
is
maximal
a
represents
p
to converges from it follows
p vanishes
implies that The first points. /-t
that
/-t
>-
we
element.
maximal
at
from
If xo
As noted
Ex,
of
maximality
the contain
extreme
no
in the
following
X, then
I_t(f)
is contained
this
A,
slightly simple way:
very
a
which
sets
doing
toward
step
in
>-
differs
show that
to
Baire
on
looking
which
such
/,t
measure
of
idea
ordering applied
remains
it
xo;
the
po >- [q.
maximal
a
there
Thus,
Wwhich
Z contains
originated
de Leeuw
although
one
then,
lemma,
By Zorn's
and
measures,
subnet
a
A(1)1.
--
in W, If [t, is any element that eventually - /_tj and hence of subnet /-t,, since for bound an upper W; furthermore, /-to
Thus,
the
0 and
/_t(i) f p, I of
> 0 and
19
is contained
which
topology.
weak*
Bishop
!
/-to
IM
set
Theorem
Leeuw Existence
of Wthemselves)
elements
the
compact
with
definition
the
Choquet-Bishop-de
The
Section
result.
If
PROPOSITION 4.2
/_t(j)
for
each
L(rf)
=
p(rf),
on
rf, Rf,
an
extension
so
each
g in
v(-g) we
convex
About
that
(y
z),
+
f (y)
the
the
X is
ex
f (x) 1, f
=
a
theorem)
be
prove
I(x)
:
then
f (y)
If C contained
metrizable.
is x
Theorem
would
existence
case
the
in
proof
form f f (x) for each f in C, and the
all
Choquet's
of X.
points
extreme
however, that the that on X implies
do in the
inter-section
Indeed,
shown,
we
fo(x)J,
=
function
continuous
best
lo(x)
:
has
fo,
function
convex
exX
the
contains
sets
on
y,
C.
in z
E
X,
f (z),
+
i.e., 2f (x) f (y) + f (z) for each f in C. It follows that the same holds for any f in -C, hence for each element of C equality C. Since the latter is in dense have must subspace x C(X), we y z, i.e., x is an extreme point of X. --
-
=
To show that
any maximal
measure
y vanishes
the
on
Baire
--
sets
from ex X, it suffices to show that 0 if D is disjoint p (D) a compact from ex X. (This is a consequence Gj set which is disjoint of regularity: If B is a Baire set and /-t is a nonnegative regular Borel then p(B) measure, supf I_t(D) : D c B, D a compact G61.) It will be helpful later if we merely assume that D is a compact subset of a Gj set which is disjoint from exX. To show that I_t(D) 0, we first lemma to choose a nondecreasing use Urysohn's f fn I sequence of continuous functions 1 ! fn < 0, fn (D) on X with I and 0 if x G exX. We then show that if /-t is maximal, then limfn(x) it is immediate from this that 0. To obtain 0; lim[t(fn) p(D) this "limit" result two technical lemmas. The first slightly requires of these is quite it reduces since the desired result to interesting, theorem for metrizable Choquet's X, using an idea due to P. A. the fact that for each x in X, we will use Meyer. (More precisely, there exists which is Ex supported /-t by ex X. Since it is not that true A in be extended can to an element generally of f every this is formally than the stated of Choquet's version E*, stronger theorem. See Proposition 4.5.) which
are
=
=
=
=
-
-
=
=
=
-
LEMMA4.3 per x
Suppose
semicontinuous
in exX.
that
f fnJ
functions
Then liminf
fn(x)
is
a
bounded
sequence
X, with lim inf fn (x) ! 0 for each x in X.
on
of
concave
!
0
for
up-
each
Section
The Cho q uet-Bishop-de'Leeuw
4.
first
Assume
PROOF.
that
If
metrizable.
X is
Theorem
Existence
X, choose By hypoth-
in
is
x
21
a
measure by ex X. Ex which is supported probability y 0. Fatou's ! inf lim 0 so a.e. lemma, lim inf by f,, esis, M, assertion and upper semicontinuous, Since each f,, is concave (b) in h that E : that 3 shows Section A, h > 1,,, so inffh(x) f,,(x) f,, inf f [t (h) : h E A, h ! f,, I ! [t (fJ. Thus, lim inf f,, (x) > f,, I ! 0. Turning to the general x is in X, and lim inf I-t(f,,) suppose case, for each n choose hn in A such that hn : fn and h,, (x) < fn (x) + n-'. with the product of lines Let RN be the countable topolproduct N function The X R -+ 0 Jhn(Y)J. by 0(y) 0 : ogy and define and continuous, is affine so X' O(X) is a compact convex subset -
=
=
-
=
=
metrizable
of the
x'
is
of R
X',
in
the
is
in
W)
7rn
X',
ex -
hn (Y) x' in
for
each
the
metrizable
set
(x') (Ox)
0 < lim inf 7r,,
If
LEMMA4.4
decreasing
f,, (x)
for
7rn
first
from the
=
ex
inf
that
X.
Since
f,, (y)
>
and continuous
0, on
proof we conclude 0 (x), we obtain Taking which completes lim inf fn (x), of this
part
hn W
in
> lim
x'
x' in X.
each
lim inf
--
x
is
/-t
=
0
is
(and
in
It
=
Thus,
we
Baire
x
such in
ex
fn :!
:! -
that
-1
X,
then
J1nJ
sequence
-1
from
0; from
completes
QX) each
the
Lebesgue
the
the
for
on
measure
in
follows
From the
limp(ln)
in
maximal
the addition, above by zero),
exX;
bounded
X.
a
Since
functions.
uous
on
> 0
Consider
PROOF.
X.
so
sequence
and lim
in
X',
Assuming
y is
affine
are
in
y.
(x')
If hn (y). X; by the
=
=
proof.
the
if
lim inf 7rn
have
we
that
shows
argument
(0y)
convex
point
extreme
an
7rn
and
compact
The functions
X.
ex
lim inf 7rn
that
simple ! f,, (y),
is has
it
X, then
in
coordinate"
"n-th
usual
be the
-xn
y is
0-'(x)
set
a
Let
.
R; if
onto
theorem
Krein-Milman
x'
R
space N
projection
N
of
1,,
sequence so
Lemma 4.3
that
that
:!
X, and if f fnJ :! f,, :! 0 (n lim
I-t(f,,)
concave
Q,
we
ffnJ is limfn(x) lim In (x)
theorem convergence have 4.2 we IL(f_n)
bounded
Proposition
liM
1, 2,...)
=
in (X) for
0 for
it follows =
each
each
tt(fn),
x
subsets
shown
that
of X \
any ex
X.
maximal
We have
meabare
also
on
shown
x
in
that
which
proof. have
0
-
nondecreasing
exists =
non-
semicontin-
upper
also
a
0.
=
have
is
X vanishes
something
22
Lectures
different: slightly of X contained D is
A maximal
shows,
in
particular,
closed
set
which
that
formulate
We next
which
of
of
x0 in
that
1 such
Borel
[t
of X\
ex
S in S is of the
B2 /-t
Baire
are
(ex X) As
x -*
=
f (x)
+ r,
f
of sequences
by f (x)
Ex,,.
-
2 such
y in
This may be EX" and
point
If
sets.
A (X)
=
x
x
proper
=
tions
is
tinuous
shows
"A represents X) coincide,
g
exists
the
on
X) ],
a
Baire
measure
that
any set
where
B, and
/-t is well
defined
and
A is
of the
form
the
space
f2 in its
weak
such
on
(x, y)
x"
for
all
Ix, I f (0) x
following topology, 2-n
example: let
and
X be the
f
define
0, but there
is
on
no
the
the
point
M E*lx + R of C(X) subspace the two notions Nevertheless, "/t X and a probability measure on a /-t proposition following implies.
subspace in
X
in X.
the
(for
as
=
,
M (defined closed
subspace
above) A
of affine funcof all affine con-
X.
that >
that
in
of A.
The
.5
there
observe ex
function
every
Consider
that
dense
is evident
E A and
M(X)
nonnegative
this,
n
R.
subspace
uniformly functions
S with
vanishes a
[B2 (X \ A(Bj), then
is in A and
=
in
PROOF. It that
f
f (x)
PROPOSITION 4.5
=
not
fxnl
Then
that
U
of subsets for each
1.
Hilbert
example a
/-t(exX) [Bi n ex X] we let I_t(S)
on
convex
Then
a-ring
sets.
theorem
A to
To do
1.
a
1.
=
only extend
compact
a
the
/-t
in
applications.
X is
Leeuw
--
earlier, E*, r in
in
E be the
Let set
form
remarked
we
that
x0 and which
represents
We need
X.
S and show that
on
for
/-t(exX)
any
theorem.
convenient
Suppose
it
by Choquet-Bishop-de
Leeuw theorem
x0 and
A which
important, supported
be
more
0 if
=
since
Choquet-Bishop-de
Choquet-Bishop-de
the
measure
subsets
the
Krein-Milman
Leeuw).
represents
/-t
By
PROOF.
hence
locally convex space, and denote by S is generated by exX and the Baire X there exists a nonnegative measure
a
X which
point
is
Gj subset
I_t(D)
that
is
measure
and
the
the
THEOREM(Bishop-de
subset
exX,
perhaps
can
maximal
a
contains
This
Theorem
any
on
showed
we
of such
generalizes
Leeuw theorem
(Indeed, a set.)
X.
ex
subset
compact
any
manner
X\
in
vanishes
/-t
measure
Choquet's
on
the
space
0, and consider
A is the
uniformly following
closed. two
Suppose subsets
of
Section
E
x
The
4.
J1
R:
and
r
and
disjoint.
=
theorem
x
f(x,r) g(x) + 61. -
By
a
(obtained
difference E
Choquet-Bishop-de
R and
set
J2
-
x
:
These
on
E
X,r
=
sets
g(x)J
slightly by separating
Ji)
there
A in R such
exist
L(JI) L(x, f (x)) g(x) < f (x)
that
sup
=
let
/-z be a maximal Since U Bi is
let
'
-
measures
(If
r
Let
1.
=
K is
ex
hull
each
ball
compact
of K and
resultant
have
For
closed
weak*
is
suppose
K.
ex
the
/-t(U Bj) Uni= 1 Bi, then p(D) > 1 A/-tl + (1 A)A2, where
we
D
Bi point
each
and let
space
that
convex
Kj,
E
of
K of
with
intersection
at
subset
E* such
spaces.
separable).
norm
supf Ilf 11: f
-
dense
norm
of
Theorem
Banach
Banach
real
a
closed
norm
itself
is
E be
subset
the
arbitrary
with
Let
convex
K is
M
Let
PROOF.
deals
Choquet's
on
if as
by
AID an
+
(I
(pj) I I
(I
and
arbitrary -
=
-
A)P2
=
probability
A) r (A2)
(1
-
-
Since
A) I I r (A2)II
1-tl(K\D)measure
(A2)
r
:5
E K '6 *
3M
K.)
on we
M
Then
have 'E
=
3
supported by Ui=j Bi7 the point the in of hull lies which is weak* compact. convex Un I Bi, r(pi) 1. Hence r(/-tl) Eni= 1 Aigi, where gi E Bi, Ai > 0 and Eni= I Ai This of h is Let h and a point co (ex K) Eni= I Aifi. I c/3I I r (pi) Since
p,
is
a
probability
n
measure
_
_
=
-
Consequently,
IIf
-
Thus,
h 11 :5
11 f
-
co(ex K)
Ar
(pi) I I
is
norm
+
(1
-
dense
A) I I r (pj) I I in K.
+
I I r (pj)
-
h
II
-
p
measure
A'
0'.
o
maximal
a
A' is supported by the compact 0' for a (maximal) measure A
set
that
it
Now, O(D)
is
on
vanishes a
Section
in
the on
Baire
4
Gj in O(Y) and it misses
we
on
exK(M),
-
A p
Bishop-de hence that
B(M),
Gj subset
Y, namely, are given
A'
O(Y),
Y such
Mthere
A with
with
the
of Y \
subsets
any compact
If
on
measure
K(M)
on
/-t
(and
do this
to
subspaces
separating
measures
theo-
representation
In order
to
remarks
A vanishes
that
a
(prior
of the
view
with
observe
mean
Y and
choose
we can
show
Bishop
we
p to
-
measure
see
to
definition
suitable
form
section
purposes)
later a
In
is due
this
we
o
a
p,
0'.
Leeuw is
of the
A >- p. To need only
D C Y
hence
-
the
\ B(M). same
is
O(D) U [K(M) \ O(Y)]. It follows that the complement is an F, in K(M), so A is a Gj of A is an F, in O(Y) and therefore Lemma in K(M) which misses exK(M). By the remarks following 0. hence A(D) on A D O(D), A'(O(D)) 4.4) A' vanishes true
of A
=
=
THEOREMSuppose
which
separates
points
that
M is
and
a
contains
subspace the
=
of C(Y) (or of C,(Y)) If L functions.
constant
measure a complex M*, then there exists p on Y such that set 0 for any Baire fy f dl-t for each f in M and p(S) M. the which is disjoint for boundary Choquet from =
L(f) S in
Y
Section
PROOF.
obtain for
A New
6.
By applying A
a measure
f
each
K(M)
are
define
A
properties.
M.
in
with
which
Setting:
>-
tti
disjoint =
Y1
-
the =
Choquet
The
Hahn-Banach
Al -A2+i(A3 each
Ai.
We know that
i
we can
B(M), i (P3 N)
from
and
-
,
and Riesz
-A4)
For
A2 +
Boundary
we
on
find
a
yi(f)
=
a
theorems,
Ai(f)
measure
we
L(f)
that
maximal
vanishes
/-ti
get
Y such
33
=
measure
on
the
for
f
with
may
A(f) yi
Baire in
the
M. If
on
sets we
required
7
Applications
Let
X be
A > 0 there
family
is
(i.e.,
R,X ! 0
> 0
R.Xf
Ry families a
T,Tt
=
potheses,
=fo
[68]
for
is due
We first
definition 1.
For
a
2.
f
For
(Tt
If
C(X)
is
itself
into
:
t
>
(i.e.,
conditions
suitable
(x
defines
a
[55]
and
facts
is
the
convergence
[55]
None of the
shown
which
a a
hysemigroup
certain
papers
exposition
the
originally
elementary
some
this
on
was
(See subject.)
result.
follow
to
Under
section
0)
>
way from
of this
of this
X, A
in
resolvent. in this
content
needed
follow
us
and facts
given below, by Choquet.] easily from the
resolvent.
each
A
>
0, R,\
C(X), (1/A)Ilf 11, so JJR,\11
if
the
identity
processes.
from
under
then
information
Lion
prove
of
and
proof
are
to
of Markov
is obtainable
the
detailed
paragraph
which
following
that
A) Ry Rx.
-
operators
0),
and the
to
(A
e-"'(Ttf)(x)dt
resolvent
operators,
more
this
=
if the
each
00
C(X)
in
related
theorem
for
C(X) such 1/A. We call
-+
R)J
and
resolvent
study
>
1, Tt
=
every
of Markov
in
f
all
=
of Markov
semigroup T,+t, TtI
for
Rx
-
the
in
arise
(R,\ f ) (x) exists
a
0)
that
suppose
C(X)
:
resolvents
to
> 0:
H
[Such 0) is
0)
>
Rx !
f
whenever
RA(A
of operators all A, A'
and
space,
transformation
linear
a
for
valid
Hausdorff
compact
a
boundary
Choquet
of the
E
each
and follows
A and
from
:! -
A',
(*)
:-
I/A. R,\RX,
11f 11
hence
1, But RAI ==
otherwise.
R.R. Phelps: LNM 1757, pp. 35 - 38, 2001 © Springer-Verlag Berlin Heidelberg 2001
and
continuous
is
f
then
-
RyRA.
=
11R.J RJ
=
I-E
(V)
The
set
U
If I
E
Y with =
Ilf 11
point
y
The
point
y is
in
Ilf 11 y
the
:
Suppose following
IfI
0
6 >
any
:! -F
in
y,
=A
If (x)I
=
that
A is
there
y,
Ilf III a
assertions
C
S.
uniform algebra equivalent:
are
x,
there
f
exists
E A such
that
A such
that
Y\U. there
exists
f
E
-
Choquet
R.R. Phelps: LNM 1757, pp. 39 - 46, 2001 © Springer-Verlag Berlin Heidelberg 2001
exists
L
in
Condition
satisfies
The
fx
and
containing
0 such
S,
then
see
that
A(Yk)
and
the
from then
not;
JJx
'2
fYkJ
yll
1
+ 91
in S and
=&)
I
for
a
fk (x,,)
and
a
above
Theorem
I < 2-k-16. Thus, jjYk+1jj Yk+1jj < (I 2-k-1)6
afk(Xn)llllYk
-
1
CeXnll-
have
OXn) 0) and he proved the following Bernstein
,
THEOREM(Korovkin[521).
Suppose itself
Then
To show
that
the
Bernstein
(x
+
a)n
(x)
I
=
(1)
operators show that
we must theorem, to Ik for k 0, 1, 2, where binomial expansion
Korovkin's
=
Yk=O
Setting
(1)
with
utilizing
is
a
sequence
with the property from C[O, 1] into three the to f for f (x) functions uniformly to f for f uniformly every f Tnf I converges
operators verges
f Tnj
that
a
=
I
respect the
-
x
to
previous
shows x
(n)
Bn1 multiplying
twice,
Bn.[2
satisfy
the
E
[0, 1]
x
=
each
I for
by
X2 n2)
yields
identities
=
T2
I + n
R.R. Phelps: LNM 1757, pp. 47 - 50, 2001 © Springer-Verlag Berlin Heidelberg 2001
>
0,
of positive f Tnf I con-
kI k C[O, 1]. x
=
0, 1,
2.
.
Consider
the
Xka n-k.
k
that
E
P.
of hypotheses f Bn Jkj converges uniformly for
x
=
that =
ob-
(I
_
J2)
n.
settinga
Differentiating =
I-x
and
48
Lectures
for
each
n,
We won't in a
a
prove
for to
theorem
result
to
Hausdorff
Ma Korovkin
due in
is
linear
span,
( akin[73]).
THEOREM
and that
space
Mis
only if
the
[To
see
a
this
fTnj
is
of positive f for each
uniformly converges that f 1, X, X21 is a Korovkin set Korovkin set if and only if the same is
a
may
Then
does
holds
uniformly
sequence
a
We
theorem
converges to
that
assume
Mis
Suppose that X is linear subspace of C(X)
X.
that
fTjJ
X is
C(X).
of
subset
a
that
asserts
of Choquet boundary
points
separates
we
so
Suppose
Korovkin's
that
true
interested
we are
f Tnf I
on
of its
Mis
Theorem
T2.
to
since
[73].
that
whenever
C(X) such that M. theorem f E (Korovin's in C[O, 1].) Note that Mis true
itself,
C(X) provided it
[0, 1]
on
akin
and
space set
M, that is, provided f for each f E C(X)
operators
uniformly
converges
Korovkin's
general
more
compact
call
f BjT21
so
Choquet's
on
M is
B(M) for yield
indeed
Mis
linear
subspace. metrizable
compact
a
which
Korovkin
a
a
of
all
Korovkin's
I and
contains
C(X) if
in
set
and
X.
theorem
need
we
I only observe that for any xo E [0, 1], the polynomial (X XO)2 of the peaks at x0, so the latter point is in the Choquet boundary of and x 1, X2.] span that X and that Suppose, first, B(M) fTnj is a sequence of such that on C(X) 0 for all g E M. positive operators IITng gII Given f E C(X), we must show that f 11 IITnf 0; equivalently, show that we must of f I I Tn f subsequence f I I I has itself a every which converges to 0. For simplicity of notation, subsequence assume that and choose, for each n, f III is the initial f IITnf subsequence a point xn (E X such that _
_
=
-
-
-
IITnf By taking some on
x
a
(E X.
further Define
-:::::
I(Tnf)(Xn)
subsequence
we
sequence
jLnI
a
-
can
f (xn)lassume
of positive
that
xn
linear
-4
for
x
functionals
C(X) by Ln h
Since for
f 11
-
I
each
Cz Mwe n.
Thus,
have
=
(Tn h) (Xn),
Ln1 can
-+
1,
so
be considered
h E C (X). we
may to be
assume a
that
probability
Ln1
>
measure
0
Section
X and the
on
y,,
which
JIT,,,g
probability by hypothesis,
weak*
g1l
-
0
-+
has from
so
f y", I
subsequence
a
Now if g E M, of g and continuity p.
measure
a
49
the
inequalities
the
I (T., g) (X-J
WI : I (T., g) (X-J
g
-
1IT-k
:-
0, UN. Moreover, each
y G X
we
p
for
x
if
If (X)
that
Ex,
with
the
set
and
with
0 < g,,
nUn
f xj
9n(X)
1,
> then P n * base that and x X, x imply (-P) f 01, so y y if and in the * P P x are Furthermore, subspace y. y generated by P, then there exists z in P such that z ! x and z ! y, i.e., x and a
map X E)
is
to X under
&lf (x).
-+
x
P which
-
-
-
y have
bound
upper
an
bound
for
denote
this
and
x
y if
least
translation
P
in
1.
f
and
j(x)j
>
andE
is arealnumberr
Measures
From the
will
we
measure,
j(x)
- p. then A(g) p(g), so g E -C,
follows
_< A(9k)
function
to the
<
maximal
pffl
>
fj
if
=
p(f)
measure
p(j).
If
fI
=
in
C;
since
C
-
C is dense
in
maximal.
fact important about the set of all maximal we present measures. however, First, lattices. lemma concerning vector an elementary Suppose that P, and P2 are cones in a vector E, with P, c P2. Denote the space We say that induced by :! j and f is directed f inffh : h E H1. Indeed, Lemma 10.2) of the in then we have if this be true, as proof (just if /t h E HI for any M; in particular, inf f p (h) Ex, then p (f ) the to It h inf Jh(x) c HI then, remains, f (x). prove M(f) H is directed H. To see that about assertion downward, suppose A such that in that h, > f and h2 > f (hi in A); we want h subsets h > f and h :! hl, h2. To this end, define J, J1, and J2 of J E x R as follows: f (x, r) : I (x, r) : x E X, r :! f (x) 1, Ji and affine is Since semicontinuous, E X, r x hi (x) 1. f upper that of hi implies while the continuity and convex, J is closed Ji is of hull from the J is disjoint convex J3 JUJ2, Furthermore, compact. 0 and to the and J3 is compact. theorem, By separation (applied PROOF. It suffices
to prove
that
the
=
-
=
=
--
=
=
=
Section
Uniqueness
10.
closed
the
functional
linear
(but
Finally,
if
Proof
Choose
1-4f)
that
functional
homogeneous,
m(f
that
C
subspace shows the to
defined
f
m(l)
-
denote
Proposition whenever
which
and
g) I
-
subspace
IIf
defines
(c) 11. Thus, C (X) and
represents
of
that
the
next
are
COROLLARY10.8 on
particular,
If
=
that
/-t
X.
fx
:
and
In
As the
g) (x)
+
=
consider
and
This
positive-
is
From this
it follows
functional
m on
at
1
most
the
:
p
unique
on
C(X).
the
Since which
measure,
m(f) exj, i.e.,
=
-
maximal
=
I(x),
px >- p measure
of
of representing uniqueness The following extreme points.
of X \
by
of
X\
ex
X,
from the
X, then, it is I(x)J, f inC(X). f(x) that 10.3 implies Proposition
ex
E X
x
envelopes (Section 3) continuous on uniformly hence has a unique extension
hence
ex
particular, =
example
of
us
is
to
prove
mea-
easy
Choquet's
orig-
X.
nonnegative
a
subset
supported
is
PROOF. It is immediate
F, subset
I(x).
supjp(f)
ax is
problem by the
p is
compact
every
if
what
m is
to
ishes
H1.
h E
:
apply
(f
get
E X
x
linear
norm
supported 10.3 will enable corollary Proposition inal uniqueness for metrizable theorem which
Ih
g E C and that we
A
x.
We consider sures
inf
we can
(3)
The
a.
=
is needed.
of upper
M,,(f)
follows
It
,
=
given by a probability f in C, we have px(f)
is
Since, implies that
f
-+
a
g
-
for
Ex.
f
it is additive.
that
functional
px.
-
in
C of
-
functional
3.1 p
C
do what
9W.
Suppose C by f
property :!
linear
1, this by
+
-
-
continuous
a
for
(4) implies I(x) g(x)
C,
-
Ex;
Ax) (5):
I m(f
that
dense
we
g)
=
that from
-
continuous
a
inf L (J3)
0 and i E N otherwise. we have Ejcpaj, (since 0 in for I a so some Finally, -EiENai. E*) Eaj f f (X) and
hence
.
that
E* such
.
.
.
.
n
=
.
,
=
,
n
7
-
-
-
,
=
=
=
=
let
x
=
EiEPa-'ajyj
=
EiEN(-a)_1aiYi-
-
Since
these
are
convex
Section
Uniqueness
10.
combinations, measures
from last
we on
Choquet's step
have
X which
Representing
represented have
uniqueness proved
may be
decomposition
of
an
lemma and the
a
that
63
x
in
X is not
elementary that the points
more
fact
element
contained
support theorem
in
Measures
by
exX. a
different
two
It
follows
simplex. (This by using the
way yj
are
extreme.)
Properties
11
As
was
bility
of the
Proposition
in
seen
P(X)
measures
weak*
surjective, if jective
and
set
from
only properties
selection
the
theorem
plex. following
(i) (ii)
r
the
compact
uniqueness a simplex. map,
for
the
Suppose
inverse
map
theorem
that
r-1:
we
In this
including
the
theorem,
its
simple
re-
is still
know that we
and
is
r
prove
bi-
some
potentially
but
case.
compact
X
affine
measures
section a
proba-
the
X is
set
convex
metrizable
-*
Q(X)
X is
set
convex
exists
and
a
sim-
has
the
properties: -'
affin
is
For
each
e.
f
E
C(X)
the
is
Borel
r-1
is
(i)
PROOF.
function
real-valued x -+
(iii)
map from
resultant
Choquet-Bishop-deLeeuw of maximal probability
of this
PROPOSITION 11. 1 Then
Q(X)
if X is
and
additional useful
the
to
r
the
the
map
the
1.1,
onto
By
continuous.
striction
resultant
r-,(X)(f)
measurable. continuous
Since
Q(X)
if is
and
only if
convex
and
exX is
r
is
closed.
affine, by part
its
inverse
is affine.
(ii) f Choquet(3) theorem for we have each x E Meyer uniqueness f(x), r-'(x)(f) X. Since the right side is upper semicontinuous, it is Borel measurwhenever f is in able, and it follows that (1) is Borel measurable, C of C(X) spanned C, the dense subspace by the convex functions. If f Cz C(X) is arbitrary, it is the uniform limit of a sequence from C of a sequence limit of Borel C, so that (1) is the pointwise measurable hence is itself Borel measurable. functions, Assume first
that
is convex;
then
=
-
-
R.R. Phelps: LNM 1757, pp. 65 - 72, 2001 © Springer-Verlag Berlin Heidelberg 2001
of the
Lectures
66
(iii) of
that
Then
there
X.
ex
1.4,
lim E,,
Ex,
To
C X.
The
=
y,
x
evaluation
at
dominating
a
x,,,
=
e,,,.
Thus, ex X,
C
x0
p >-
X is
in
net
probability
Since
p.
that
see
(hence
x0
and that
is continuous
exists
r-'(x,)
by Proposition
z),
r-'
Suppose
ex
p
2
exists
that
in the
+
closure
-+
xo
e,)
is
measure
=
.1
=
2
(y
+
represents
maximal
a
and
x0,
limr-'(x,)
that
(sy
Theorem
x, =
suppose
and there
simplex,
a
xo is
X with
r-'(xo)
measure
e,o)
Choquet's
on
measure
r-'(x,),
so
we
have
Ex"
Thus,
M
if
that
ex
is weak*
and
E, X is
=
[5]
hence
closed,
compact
=
y
that
To prove P (ex X). It
r
the
x.
z
=
A >-
-
Q(X)
then
so
r-'(x,,)
is in fact
an
note
converse,
follows
Q(X)
that
homeomorphism.
affine
X which of those characterizations given several and ex X is closed" "X is a simplex (which is why simplices satisfy the Note that called Bauer often with this property are simplices). shows that any Bauer simplex X can be identiproposition foregoing on the measures compact Hausdorff fied with the set Of all probability
Bauer
space
ex
has
X.
If X is not
X,
some
results
a
maximal
conditions
11.2)
(Proposition
way
11.4),
respectively.
DEFINITION.
By
a
Q(X)
X into
it
measure
give
which
affine
from
simplex,
is
for each to choose, possible We present x. having resultant
still
p,,
which
under and
in
The first
of these
selection
for
such
r(px)
that
a
map =
x
can
measurable
is due
the
this
r
for
to
H.
x
two
in
an
(Theorem Fakhoury [35]. way
we mean
each
be done
E
x
a
map
x
-+
px
E X.
P, and P2 are cones in real vector and that that P, is lattice-ordered 0 is an order-preserving, spaces, and positive additive If there exhomogeneous map of P, onto P2. another ists P, such that 0 o 0 is the identity map 0 from P2 into In particular, ordered. an then P2 is latticeon P2, if there exists onto or resultant the X, for its for affine selection map from P(X)
PROPOSITION 11.2
restriction
r:
Q(X)
Suppose
-+
that
X, then X
is
a
simplex.
Section
of the
Properties
11.
resultant
67
map
if x, y E P2, then x V y that to verify straightforward is and this is all that exists in fact, and is given, by 0[0(x) V 0(y)], about result the assertion this to obtain needed. To apply r, say, to the cones extends it and its selection first one by homogeneity TC. (As in Section 10, we have assumed P, R+Q(X) and P2 in a hyperplane which that X is contained without loss of generality k misses the origin, so that R+X.) It
PROOF.
is
=
--
=
The property
cinctly More
(ii)
in part
precisely,
will
we
Proposition
of
by saying
described
r-1
that
make
be
measurable."
more
suc-
terminology.
following
of the
use
could Borel
11.1
"weak*
is
0 from a compact Hausdorff function space X into measurable Borel Y be is said to a compact provided Hausdorff space sub-set X whenever is Borel subset U is an a of Y. of 0`(U) open real-valued on Y, functions family of continuous If A is a separating the real-valued measurable Borel is will that we if A-weakly 0 say each f E A on X, for function f o 0 is Borel measurable A
DEFINITION.
The lemma below metric
the
Using separating
LEMMA11.3
A is
that the
a
compact
metric
topology Since
which
Y is
of basic
each
a
is set
above
form.
The Rao
space,
any
of the
form
real
interval.
[67]
open
But
following and
there
then
open
0`(U)
by hypothesis,
is,
selection
exists
Suppose a
Borel
is
definitions,
above
compact
Thus, Y, we
n(fi
o
Borel
X is
measurable
the a
0)-'(Ii)
union E
A and
0`(U)
that
is
U has
that
and each
set
a
the
in the
of X.
independently
proved proof
below
metrizable map
fi
each
assume
can
subset
was
[791;
show
to
countable
a
where
Y, the weak topolgy.
initial
the
of Y is
q7 _jfj-'(Ij),
=
space
with
subset
open
in
on
Borel
a
of the
a
suppose
real-valued
Y coincides
theorem
that
if Y is
that
coincide.
functions 0: X -4 Y is function A-weakly Borel measurable.
Then
a
G. Vincent-Smith
THEOREM11.4
Then
U is
whenever
intersection
on
the
continuous
points
defines
it
sets
an
Borel
it
metric
open
Ii
space
A separates
Since
PROOF.
of
of
Y.
only if)
if (and
measurable
family
measurability
of
notation
fact)
standard
useful
two kinds
the
then
space,
(the
shows
x
compact --+
px
by
M.
is Rao's.
from
convex
X into
set.
the
68
probability
measures
represents
x,
all
probability
measures
follows,
(rather
L
x)
than
Theorem
(Section
strictly
convex
a
dense
for
ff-ln=l
generality fnf A fl) f2, closed subspaces i
-
1
-,
-
A(X)
fn
that
1,
Ao
for
c
is n
A,
the
linear
...
c
the
An-,
c
a
C
...
of
existence
of
existence
have
c
Choquet's
of
a
without
An of A(X)
span
An
and write
assume
can
We thus
1) 2) 3.
=
c
in
not
A(X)
of
as
We
which
argument
proof implies the
well
as
C(X) \ A(X).
in
X, the measure point of the set of
x.
space
of X
Theorem
E
As in the
metrizability fo in C(X)
function
x
induction
state
of X.
element
the W
sequence
in the
X to be the an
3),
of
loss
of notation
consider
will
we
each
I-tx is an extreme exX which represent
on
simplicity
For
PROOF.
for
Choquet's
that
and such
p.,
on
that,
X such
ex
on
Lectures
sequence
U
of
C(X)
An-, and fn-1 and such that their the of C(X). Let Sn denote union A0,, UAn is a dense subspace in the weak* of An (hence state So X), always considered space Define -* On: Sn Sn+j for each n > 0 as follows: topology. such
An
that
is the
linear
of
span
=
=
On(L)(g+Afn)=L(g)+Aan(L),
9EAn,
LESn,
AER
where
an(L)
=
inf
f L(h)
+
11h,
-
fn1j:
A,J.
h E
fnjj is continuous Now, for each h E An the map L -+ L(h) + 11h which infimum over all such h is upper semicontinous, so the on Sn, function implies that for fixed g E An, A G R, the real-valued -
L is Borel over,
measurable.
if A
0
On(L) (g
k >
and in-
0,
then
Ok(L)(g) On (L)(g)
L(g)
On(L)(g),
=
An. Let S,,, denote the state space of to define A,,,; the coherence just shown makes it possible property If X and X L follows: E -+ S(,, a map 0: as UAn, then g E A,,,, On (L) (g). Every g E An for some n > I and we can let 0 (L) (g) dense subspace of S,,, continuous element is uniformly on the A(,, hence admits extension to C(X), so we can a unique S,', identify while
=
if g E
=
=
the
with
probability
of
set
measures
L E X and g E A0, each of clear from the definition
whenever is
also
Borel
(ii),
the
for
surable
Borel
for
measurable
11.1
density
each
A,,,,
0 (L). (as in the proof of Choquet's By definition,
place
To
AL(A)
=
Now, if
g E A(X),
see
=
that
each
theorem)
OO(L)(fo)
inffL(g) then
shows
+
so
is
=
JJg g'
-
-
It
0 (L) (g) of Proposition
is
is Borel
that
L
proof we by ex X, supported
of the
AL is
will
AL(A)
to show that
Oo(L)(fo) foll: g +
=
g E
IIg
-
+
JJg
-
fo 11
=
L(g')
! inf
f L(h):
mea-
O(L)
-+
is
AL in
write it
suffices
=
AL(10)-
ao(L)
A(X). fo 11;
g'
moreover,
Consequently
L(g)
L(g) L.
map L -+
the
and Lemma 11.3
remainder
For the
measurable.
of
that
=
resultant
g E
C(X)
g E
0
has
As in the proof A,,,. L -+ O(L)(g) that implies
each
of
O(L)
measure
O(L)(g)
Since
X.
on
h E
A(X),
h >
fol
>
fo.
Lectures
70
f AL (h)
inf
pL(jfo)
hence
fo imply fo
that
since
It
=
inequality
follows
that
selection
of first
Baire
metrizable
holding
A is the
a
map
measure
the last
special
Mx
(using
into
the
He then
Suppose subspace -+
yx
result cases.
analytic
can
be
that
much
IIg
g +
fn I I
-
fn.
>
induction
obvious
an
X is
by longer
proof) to
measurability
which
certain
non-
properties.
metric
compact
a
there
that
measures
result
this
[76]
Talagrand
M.
maximal
extended
X,
x
and
px(B(A))
substantially
if X is
continuous then
at
and
space
=
1
con-
Borel E
X,
(where
for A).
improved
instance,
of the in
a
extreme
reasonable
boundary
For
and
extended
evaluation
represents
Choquet
2 since
or
of (real or complex) C(X) which Then there exists a points. separates from X to P(X) such that for each x
and x
A consists are
been
X, retaining
closed
I
A2 (fn)
has
mapping class.
k
proof.
he showed
constants
measurable
=
(fn)
Al
=
the
COROLLARY11.5 tains
we see
for
theorem
spaces
that
=
that
-
foregoing First, ways.
Cn and
7
=
-
AL (fn)
a
which
that
=
The
This
represent
and
Of AL
completes
argument
tant
of
set
that
L.
an[0n-1(L)](fn) 0n['0n-1(L)](fn) On(L)(fn) + jjg fn1j: g E Anj inflOn-l(L)(g) infIAL(g) + 119 fn1j: g E Anj inffAk(g)+Ilg-fnll:gEAnl>/-tk(fn))
=
last
is
of the
element
extreme
an
=
=
the
(10).
is obvious.
AL is
which
definition
the
=
B (A)
inequality
measures
=
is
AL
=
AL(fn)
exists
!
=
they Recalling
in two
AL (h)
that
Now, h E A(X) and h Thus, AL (A) > AL (A);
Suppose, then, /-t2 /-tl suffices It show to + 2AL Al A2these functionals are equal By hypothesis, A2 on A,,,. Al show will that are on we equal Ao. Assuming A., they are i.e., that AL(fn) Al(fn) /-t2(fn)equal on A,,+,,
that
It
SO
prove
measures
AL
the
i
last
Theorem
fo 1,
h >-
expression.
this
reverse
to
such
A(X)
on
the
remains
two
that
A
h >
fo,
r p(B) r p(C) holds Thus, v(B) v(C) v(B), so equality It follows that 0 and p(C) 0. Thus, for any throughout. I-t(B) < r r, f X : f (X) :! r I and T-'f x : f (x) :! r I =- f y : f (Ty) I differ number
let
r,
A
=
f (x)
:
(taking r) we
h(x)J
identity and by interchanging this
Suppose,
zero.
all
now,
that
over
the
unions
Ufx: g(x)
=
U[fx:r:' :h(x)j\fx:r :g(x)J] g
f
h
are
real
dense
have
=
to
g and
countable
=
f
and
,
h
f
>
=
f
o
T
!
r
o
T,
we
h(x)l
we see
conclude
that the
f < f proof.
o
T
Section
Application
12.
If
COROLLARY12.2
Sl,+,,
then
PROOF. p
(A)
Let
f
A, i.e.,
such
functions T E
that
then
for
only by
f
=
f
>
f
that
g
and
0}, g) (x) (f g)d(p + v); it fA(f E
:
-
analogous
shows
argument
p and
(f
A
(f
(M
measures
a
proof
of this
1, let /-t,, be the n points (n-', kn-'), X of and the point n
represent
we
Hausdorff
extreme
points
on
S do not
form
for
fact measure --
sequence
a
closed
subset
special which assigns
1AnT
,
n
-
O(x)
mass
1.
converges
=
(x,
y +
X of T-invariant
set
case
from
homeomorphism
a
of the
the
0, 1, 2,...
T is
space,
the
k
T(x, y)
the
as
function
=
compact
measures
which
nonconstant be any continuous I x J into itself S by
T from
R and define
of S onto
0
Let
I into
circle,
J be the
let
and
=
of X. We will =
n-1
to
/-t,,
is
Then in the
x.
For
each an
weak*
each
of the
extreme
topology
78
Lectures
Lebesgue
to
measure
the
extreme
our
p is
T-'A
each
T
ergodic
p(A) in Tj.
in this
certainly
defines
goes
as
follows:
or
p(A)
=
So
Sl,,
Since
is
C
relate
to
the
notion
An invariant I for
set.
any
its
to
probability A in So
each
fA:
=
measure
ergodic
clearly
coincide
The two notions
sense.
in this
in measure" "ergodic be to measures ergodic probability this, measures;
if
0
probability
every
extreme
of
work
=
Theorem
the
of invariant one
0,
=
not
definitions
simply
definition
0(0)
Since
J.
p is
so
set
further
ergodic
x
other
two
if
for is
sense
X,
of the
points requires
Another
origins. measure
for
least
101
on
One of these
literature.
of course,
IL
J is in
x
at
are
the
=
f 01
on
There
A
measure
Choquet's
on
in
if
So S,, /-t(AAB) if T consists of a single T (or equals function instance, the semigroup let B generated by T)-simply nn-- , Uktn T-kA. More general on T which the of hypotheses equivalence guarantee the two notions are given by Farrell [36, Cor. 1, Theorem 3] and Lemma The Varadarajan [78, 3.3]. following simple example, due to shows that Farrell, they are not always the same. A in
each
there
exists
B in
such
that
This
0.
=
for
occurs,
=
n=
EXAMPLE S
Let
=
[0, 1]
fT,,T21,
x
where
[0, 1], let TI(x,,X2)
S be the =
Baire
(xi,xi),
of S and
subsets
T2(x,,X2)
the diagonal TI, T2 are continuous maps of S onto and So consists of S and the empty set. For any subset
(AATi-'A)
in D is
in
in
So, our
D.) Thus,
but
the
sense.
semigroup
point It
it follows
empty; and
invariant
support I in
n D is
is
generated
S,,
-
S.
every
such
masses
on
that
(In fact, measure
D are the
to note interesting is 7by simply 7-
any
takes
only that itself.
invariant
only ones
the
S, S,
D of
A of
/-z with
measure
every
(X2 X2)-
=
Then
let
support has
measure
the
values
which
are
0 and
ergodic
(noncommutative)
extending
for
A method
13
representation
the
theorems:
Caps
for
were
any
set
natural a
lead
of
elements to
in
satisfactory approach, involves is outlined
it
Choquet,
general
notion
for
admits
possible
are
be
involves
It
is
for
theorems
completely
no
lines
two
of
One of these
of interest.
measure"),
("conical
so
for the
base.
however,
are,
measure
approach
The other
such to
10,
cone,
convex
compact
a
seems
There
sections
Section
in
theorems
obtain
to
there
which of
closed
a
representation
which
is
As noted
set.
base
way to cone
due to
[19].
in
a
but of cones, of this nature.
result both
natural
convex
class
a more
as
whether
wonder
general
more
compact
in earlier
with
dealt
we
convex
regarded a
closed
a
a
be
can
results
these
of
elements
such
which
theorems
representation
The
replacing
which
the
notion
the scope to extend possible "cap"; by to the will be devoted This section theorems. of the representation consider the section, we only proper latter Throughout approach. K n cones f 01. (-K) K, i.e., of course, theorem" we mean, In using the term "representation which of measures than the mere existence points; represent more be these measures in by the supported some we require that, sense, the of a convex In the case only possible extreme cone, points. of an notion the introduce must and the is we extreme origin, point that
of "base"
makes it
this
of
=
extreme
ray.
DEFINITION.
R+x
=
jAx
:
A ray p of a A : 01, where
Ax, A > 0, any nonzero A ray p of K is said to be and x Ay + (1 A)z, (y,
y
=
-
an z
the
E
K,
x
of
extreme
E K
=A
K is
a
Since
0.
R+x
p may be said
ray
0 < A
0. By choosing a caps,
=
of p, if necessary, multiple positive that y E ex C, y =A 0. Then 1 ! If /-t 1. 0, so p(y) [I p(y)]
that
E
Then
is the
which
cone
of C.
PROOF. Since
C,
convex
0.
11 such that x f 01 C Ci, and
E z Eznxn (z, x) f zn I co E K, x : x 11 is 0, such that B Ix : x E K and (z, x) =
=
=
=
=
But
compact. hence
Xn
struct
C
Ix
E
.
,
.
0, z,-, ', 07 0,, and
for
cap
p(x)
K:
weak*
-
-
define
is
)
-
p,
on
ball
unit
z,,,
all
n,
--+
0, this
be compact.
by p(x)
K
(since of fl).
compact
compact
Since
B.
E
> 0 for
zn
B cannot
hence
K,
11
:!
that
shows
property
unbounded
K of the
with
.
universal
a
=
(0, 0,
=
is
sequence
first
the
it
To
the
con-
Then
EXn.
=
is
and
intersection
Since
p is
positive0, so p is
homogeneous, p(x) rj Ix Since the unit ball additive. and it is clearly lower-semicontinuous, is normed linear of the dual of a separable always metrizable space C is metrizable. that in the weak* topology, we see Finally, suppose K were metrizable. Since f, is weak* sequentially complete and K in itself. K is of second that conclude is closed, we could category relative to K. But K UnC, and C is closed and has empty interior if x c C, then x + an E K \ C and is weak* convergent (For instance, 2 at n and equals 0 of f 1 which equals to x where an is the element :!
is
compact
example
of
a
E K:
for
all
r
>
=
,
elsewhere.) Later, universal to
easy
K
(other
but
cap,
by
extreme
than
The
give
will
which base
a
points.
following
result measures
with
B, where
B is
Then K has
a
no
does
bounded
closed rays,
is
a cone
set
convex
hence
a
It
caps.
Take
caps:
extreme
have
not
of its
union
nontrivial
no
a
gives on
some
no
caps
concerning
information
unique-
caps.
If the cone K Conversely, simplex.
PROPOSITION 13.3
C is
the
nevertheless
is
cones
which
cone
f 01).
of maximal
K, then
an
closed
construct
generated
without
ness
we
is
a
if
lattice
each
if C
and
point
of
K is
is
a
cap
contained
of
Lectures
84
in
of
cap
a
K which
is
PROOF. A cap C of
p(x)
and
Co
cone
ifxo
(0,0)
p(x)
Assume,
follows:
as
follows
now,
that
of course, that that x0 ! 0 if and
lattice;
a
(x, r)
--
and
yo
=
-
-
-
-
only
p(x q that to show that !
zo
p(y that
!
if
r
w) p(z
yo
completes
wo.
the
proof. The
ing:
Is
remaining there
a
important
reasonably
question
large
class
concerning of
cones
caps
which
is the are
follow-
unions
of
Section
Extending
13.
Representation
the
Caps
Theorems:
85
in conhas led Choquet question [19] to investigate, of the class depth weakly complete cones. detail, (R. and Becker has extensive treatment an recently thorough given [7] of weakly complete and conical measures cones along with numer-
caps?
their
This
siderable
and
applications.)
ous
which
exhibit
PROPOSITION 13.4
of
each
cones,
Suppose
which
Since
PROOF. K is
a
of its n
cap
For
caps.
11 2, 3,..
=
For
each
n
homogeneous Kn: Pn(xn) verified
the
of the
that
p, is
of
intersection
there
exists
11.
of
sequence
a
to
exists
with
cap
a
convex
is
true
fl En.
(In
same =
of R+ with
closed
Cn
if
that
show a
a
show that
only
need
is
a
p
on
of Kn,
cap
functional
an
union
fl Cn
C of K with
cap
of
subcone
K is the
C
C.
additive,, semicontinuous, positiveCn f Xn Pn on Kn such that
lower
a
Define also
is
caps.)
its
nonnegative
0
If p E K, then (since gn / f) we have IgI : ' : b(g)f. En lim Thus, if p E C, then p(l_t). liM/-t(gn A(f) k= jakA(A) : b(g). It follows for any g in C,,,,(Y) we have p(g) < b(g)lt(f) P is compact since C C P that 11f [-b(g), b(g)] : g E Q,(Y)j; with the weak coincides in the product topology on topology (which that It is immediate in P. C is closed to show that C) it suffices
such
that
=
=
=
element
any
functional
-+
Co.(Y),
and
C is
/-t(gn)
We caps,
pointwise
increasing
the /-t
on
that
show
the
in
and
now
but
closed
in
not
an
have
a
measure.
a
follows
linear nonnegative Thus, we need only
from
fact
the
functions
continuous
on
that
p is
by
K defined
semicontinuous.
example a
is
This
K.
is lower
hence
exhibit
does
hence
of the
limit
of C is
closure
of
a
universal
cone
which
is
the
union
of its
cap.
EXAMPLE Let and
let
considered
s
be the
E
=
to
of all
space
s* be the
real
sequences
of
space
s.
in the
As is well
product known,
topology E
can
be
with the nonzero finitely sequences, E. E E a x Eanxn, Topologize by (a, x) s, topology defined by s and let K be the closed convex
be the
correspondence E by the weak*
dual
space
defined
of all
=
Section
Extending
13.
nonnegative
of all
cone
containing
C
and
suppose
that
A
verify is
ysuch
thaty=Oonl. that
To
Ix
K, p(x) by 6n the
Denote it
is
K does
:! -
C
x
:
that
Since
1.
p(Jn) (a, Xn)
=
n,
We conclude
for
criterion
I
weak*
have
to
p(Jn)
x
1, 2,3,...
convex
-54
of J
are
that
0
which
By
that
K is
locally
U of 0 such
=
in
[0, 1]J.
(-K)
F;
B, then
I [0, n]B
for
I
exists
we
can
some
f
=
Kn
locally
0 from is
a
base
a
Then K has
a
cone
that
x : f (x) (relative
0 c
linear
continuous
J, i.e.,
2b
for
K and
=
the
inf is
ex
exists
the
we
>
compact,
0.
a
F be
closed same
is
points
extreme
conclude
f
functional
f (J)
to
J be the
K,
nJ, K),
:
compact. cap,
object,
an
Suppose
space
Ik
=
is
hence
PROPOSITION 13.6 convex
J
a
E C.
universal
a
with
section
It
n.
and
which
Jnp(Jn)J
=
cone
a
01;
-=
define
we can
C be those
=
such
were
this
K,
E
Let
< YkX-1 k
have
not
C is not
so
Xk
(and closed)
universal,
a
:
Ik
=
EkEJ
sequence
C is Let
> 0.
I
x
K \ C is
C is bounded
see
If
87
to straightforward C x convex Furthermore, of all of E consisting dimensional subspace E J; it Ify E C,thenO A 0, nonnegative there exists on X, measures a sequence supf Anj of nonnegative Borel subsets EA" S,, of X, such that p disjoint ported by pairwise hull of and Of (Kn) < E for each n, where Kn is the closed convex Sn
If
LEMMA14.1
p is
a
=
-
PROOF.
X, v 7 0, Of (K)
on
that
for the
A in
If
to
SA
the
closed
Z is
A
Since
an
measure,
the
sets
the
Lebesgue
EA,,
converges
If A
=A
A
-
Sx, Sy
then
In the
Borel
a
Let
out.
X with
on
Sx of
subset
Z
partially necessarily
by
there
SA (A Mo
set
Cz
MO)
is
countable;
dominated to
the
EAn, then
are
exists
restriction we
can
a
say
A
apply
of p to
then
set,
it so
maximal
disjoint
pairwise
Mo
=
E.
simply
step,
restriction
ordered
- A
metrizable
compact A and A
if
and
regular
are
only
convex
if
there
a
general
probability
Borel exist
of
subset
a
dilation
T
TA.
of this
depends
theorem
on
result
of Cartier
with a classical use result together metrizability), of measures. disintegration With X as above, the space F we consider C(X)* x C(X)*, the of the weak* with itself. product using topology Thus, F is a linear functional L on F locally convex space, and every continuous on
does
not
the
=
is of the
form
L(a, 0) for will
some
pair
be interested
=
of functions in two
a(f)
-
0(g),
(a, 0)
E F
this f g in C(X). Throughout subsets J and K of particular F, ,
section
defined
we as
Section
Orderings
15.
of Measures
and Dilations
95
follows: K
=
f(A,y):A !0,p !0and/-o-Aj
J
=
f(E,,,V):xEX,V,6xj-
easily verified v >- E, implies
that
It is
(since and
the
closed
of the
(a, ) imply (I)
of all
compact
1,
and is itself
=
if L !
K, i.e., 0
on
(1)
a
we see
that
P,
set
0
on
a
is
certainly
J,
there
assume
so
J
(1)
H 1
=
of the
B C Kn H
for
base
L !
L E F* and
a
subset
Thus a
Its
Indeed, hyperplane
convex
be true
X,
K.
the
compact.
compact
convex.
E K and
K n H is
that
will
K whenever on
(a, ) closed
Ex
-
P, into
not
for
v
combination
convex
J is
base
compact
hence
This
L > 0
B , then
a
set
Since
1.
=
is clear
It
K n H.
the
K n H is
P1,
x
Since
a
from
K n H of K with
which
compact. B
is
J is
continuous
is
mass
intersection
convex
show that L !
for =
K; furthermore,
v) graph).
a
Since
in F.
cone
convex
C
of
its
to
not
hull
convex
subset
a
J
point B, however,
is
masses
closed
a
that
(resultant
-+
v
K is see
homeomorphic
J is
of point is
map
we
K;
we
will
if B generates 0 on B. Now, if
f
exist
,
C (X)
g in
will f (x) L(E,, v) v(g) 6,,; show that L (a, ) a (f ) (g) ! 0 whenever (a, 0) E K. Recall for that each x in X, 7(x) ej. (Proposition 3.1) supf v(g) : v It follows that V(x) :! f (x), so that g < y :! f Thus, 0 (g) < 0 ( ) :! affl; and a(y) from Lemma 10.2 we know that 0(y) < a(g) and hence L(a, 0) > 0.
such
that
!
-
0 whenever
v
we
-
-
=
-
.
The
following
Proposition
proposition
now
(CARTIER)
PROPOSITION 15.1
only if
and
is
an
immediate
of
consequence
1.2
there
exists
a
to
the
(A,p)
An element
nonnegative
measure
of F
J which
on
is
in
K
if
represents
(A, p). We now return that exists
for
X is metrizable a
each
and that
nonnegative L in F*.
A(f)
proof
p >- A.
m'
measure
This
-
means
p(g)
=
of the
on
that
fi [f (x)
Assume, By the above proposition, theorem
J such for
-
itself.
that
fj
each
(f, g)
v(g)]
dm'(Ex,
in
L dm'
C(X)
v).
=
x
then, there
L(A, M) C(X),
Lectures
96
(x, v) : x (x, v) from
S
Let
(Ex, 1/) m' to the
measure
a
above
(a)
Equation carried We
now
a
p.
58].
[13,
measures
Suppose
that
measure
on
function probability
0.
(i)
Y.
measures
For
each
h in
on
X, denote
the
the
C(Y),
the
X,
support
function
carry
can
0, f
--
0 in
S which
on
P,
onto
spaces, m
Ax(h)
x ---
is
X.
is
a
of
0 nonnegative that
image of m under X into -+ Ax from properties:
x function following
a
g
=
disintegration
metrizable
0'
Y, with
function
we
x
on
and that
exists
the
measure
of X
theorem
compact
Theorem
v), v).
dm(x,
Y onto
mo
-
there
Then
of the
are
from A
Let
dm(x,
probability projection
a
case
Y and X
function
continuous
a
is
natural
special
state
Since
-
a
v
=
m
the
I
Ex
-
fS f (x) fS (g)
=
(g)
that
shows A under
onto
S is
)
A (f p
v
homeomorphism, By alternately choosing that for all f, g in C(X),
S.
we see
(a) (b)
P1,
C-
v
J onto
m on
equation,
X,
E
Choquet's
on
Borel
is
is
the the
measur-
able.
(ii)
For
each
x
(iii)
For
each
h in
We apply
natural introduced A
measures
on
resultant
the
of S onto and is
0',
the
(2)
P1. which
resultant
m(h)
as
exists
P, of the
It
remains
image to
P,
=
S C Xx and
m
three
that
image
IL
Ax
-
=
fS
v
means
(f ) dA,, (y, v),
measures
that implies the probability We let T', be
natural
projection properties (1) TA. The fact that Tx
Tx satisfies
that
of
the
the
(a)
properties.
of Ax under
and
0-'(x).
P1, let 0 be
A be the
noted,
have
C(X), TX(f)
in
A., from X into
---
prove
of the
Y
let
we
above
dilations,
define in
x
the
in
Let
and
as
contained
is
fX Ax(h) dA(x).
=
X,
Then,
S, satisfying
of Ax
follows:
of S onto
there
so
the
C(Y),
result
this
projection previously.
mo
=
in
the
that
for
each
f
in
Section
Orderings
15.
(y, v)
Since
implies
S
in
f,
functions
this
of Measures
and Dilations
v
sy,
-
we
see
that
97
for
continuous
affine
becomes
T-W
fS f (y)
-
dA , (y, v).
supported by 0-'(x) f (x, v) : v ExI, and hence Tx (f ) x. f (x), i.e., Tx represents Property (2) of dilations follows from (**) and property to show that TA, (i). Finally, I.L in for that we must verify C(X), g Ax
We know that
is
=
-
=
=
p(g) By (* *), Tx (g) function
fS (g)
v
(iii)
dm (y,
v
(b),
we
v)
that
see
fX
dAx (y, v). implies that =
=
From
=
fS (g)
=
C(S),
h in
(TA)(g)
=
the
Tx (g) dA (x). h (y,
Since
v)
fX JS (g) dAx (y, v)) fX Tx (g) dA (x). p(g),
equals
side
(g)
defines
a
dA (x)
v
left
v
=
and
proof
the
is
complete. We next
define
considers
Loomis
ordering orderings;
the
several
[56].
p > A of Loomis
the
present
one
is
(Actually, "strong"
his
ordering.) If
on X, a subdivision measure nonnegative that measures on X such a finite of f pil of nonnegative each subdivision We say that Epi. f Ail of A y ft > A if for there exists a subdivision Ai for each i. f pil of p such that pi of this and relation its other to group descriptions ordering (For
DEFINITION. IL is
p is
a
set
=
-
see representations, [57] and [56].) In the following X and theorem,
15.1
of Cartier.
Note
THEOREM(Cartier-Fellmeasures
on
(a)
p >- A.
(b)
There
(A, p).
X, then
exists
a
that
X is
not
J
are
the
assumed
same
to
as
in
Proposition
be metrizable.
If A and /-t are nonnegative Meyer [15]). the following assertions are equivalent:
nonnegative
measure
m on
J which
represents
Lectures
98
(c)
Choquet's
on
Theorem
M > A.
Proposition
PROOF.
(b) holds,
and
f Ail
let
Radon-Nikodym
shows
15.1
(a) implies
that
be any
(b).
Suppose
By
of A.
subdivision
choose
that
of the
means
Borel
measurnonnegative 1. Define able functions fiA and Efi Ifil on X such that Ai for each J Borel functions fi (x) by gi (E:,:, v) (Ex, v) in J, Jgi I on each measure 15.1 again, and let mi By Proposition mi has gim.
theorem
we can
=
=
=
=
(vi, /zi) in the cone K. If (and if we carry the measure Proposition 15.1) we see that a
resultant
we
assertion
Similarly,
=fS
(f )
'Ji
since
(A, A),
represents
m
AM
=
dm(x,
f (x) fi (x)
fs f (x)
P),
we
dm(x, P),
to
the
for
f
f
of this
S defined
set
after
in C (X).
deduce
for
definition
the
use
m
that
C(X).
in
that A where 7r is the this m 0 7_1 means earlier, of S C X x P, onto X. Since the fi are bounded natural projection that A (f fi) Borel functions, it follows (m o 7r 1) (f fi) for each f in n. Now, for each f in C(X) and each i, we have 1, 2,... C(X), i
As
we
noted
=
,
-
=
=
,
fs (f fi so
vi(f)
that
(Ai, pi)
E K
implies
in the
V1, V2,.
6 >
proof ..
0,
pi
f
is
-'_
A(f).
a
we can
Vn such
(c)
that
carry
that
out
the
m
the
for
a
o 7r
-') (x),
vi
/-t
=
But
ElLi,
so
that then, Suppose, to want on X; we
disjoint
union to
Vi is
as
was
of Borel nonzero
measure probability x in Vi. Thus, A
each
Ai.
=
construction
Ai of A
restriction
< e
(a). function
same
X as
in X of the
I
d (m
i.e., Emi implies
convex
to write
(x)
Ai(f),
implies
continuous
letting xi be the resultant have If (x) we will f (xi) -
A(ffi)
Ai, and
of Lemma 10.6 ,
=fX (f fi)
v)
=
-
show
to
/-t > A and that show that I_t(f)
Given
Jsffidm
=
p > A. It remains
dm(x,
7r) (x, v)
o
used sets
and,
Ai/Ai(X), =
E Ai,
and
Section
Orderings
15.
therefore
choose
we can
implies
The latter
of
resultant
consequently f :! f (xi)
A(f) Since
this
proof
is
that
I_tj1ttj(X). tt(f)
+
=
EAj(f)
is
true
this
a
A.
nonnegative
maximal,
almost
(xi)
E
0,
>
E/uj
=
Aj(Vj) and pj(f)1tzj(X)
eA(X)
+
:!
conclude
we
with
only
I-t(f)
if
dense
an
and /_tj that xi is
1.t(f)
and hence
EA(X).
+
that
and
hand,
other
6],
the
(xi),
! f
On the +
Aj.
-
Ai and the
-
tt
measure
T be
Let
=
/,t(y) of
with
conclude
every
f
C(X);
then
for
and hence
>
-
(Section that
Tx,
for
3)
almost
is maximal
that
for
-
the
such
respect
10.3
Tx (yn fn) dA (x). Now, Yn f,, A, for each n. It follows that Since
proposition
Suppose that and that on X, dilation
a
Proposition
subset
interesting
concern-
measures.
everywhere
from
Recall
countable
a.e.
convex,
/,t
EAj(Vj)f(xj). Ai(f) :! A(Vi) [f (xi)
(MEYER [57])
p >- A.
and
that =
!
section
with
PROOF.
fx
any
and maximal
A is
measure,
if
f
is
EAi(Vi)f
:!
PROPOSITION 15.2
is
Aj(X)
=
99
complete.
ing dilations
TX
1-ii(X)
that
so
for
We conclude
that
pi
EtLj(f)
=
such
measures
Since
Vi,
6 on
of Measures
and Dilations
for
map
f
all
T. (f
a.e.
x,
A.
-+ .,
Y
C(X).
each so
all is
TA
n,
n,
Tx(fn) for
Then
is maximal
/-t
=
f fnj
/-L(yn
Tx (yn
have
uniformly
/-t.
=
Let 0
we
TX (y)
maximal
a
A.
a measure
in
0,
is
/-t
that to
metrizable,
X is
a
fn) fn) T (fn) a. -
.,
continuous, each
be
-
f
in
=
0
=
e.
we
C (X),
Topics
Additional
16
Much of the
material
these
in
(other
notes
than
the
applications)
presented by Choquet [19] at the 1962 International of Mathematicians, and the paper Congress [22] 'by and very concise of treatment Choquet and Meyer gives an elegant the main parts of the theory. Bauer's lecture decontain notes a [6] tailed which starts from the very beginning, development using (as do Choquet and Meyer) his "potential theoretic" to the approach of extreme existence functions on a compoints via semi-continuous book [57] covers XI of Meyer's deal a great pact space [3]. Chapter of ground. He shows, other that the entire of things, subject among maximal measures of an abstract as a special case may be viewed of "theory balayage." A number of books and monographs have apon this subject peared since the 1966 first edition of these notes (which appeared in in 1968 [63]). Russian translation Among these have been Gustave Erik M. Alfsen Choquet [20] (1969), [1] (1971), Yu. A. agkin [73] contained
is
(1973), (1980) (without
the
in
outline
[53] (1975), In [21], [61] (1980).
S. S. Kutateladze and
Phelps
proofs)
of related
results
L. Asimow and
Choquet through
has
obtained
A. J.
given
Ellis a
[2]
survey
1982.
book by R. Becker a superb 245-page [7] (1999) contains which in many respects where these starts up-to-date exposition leave off. His emphasis notes on convex cones (rather than compact and conical to potential convex measures permits applications sets) statistical decision theory, theory and other topics where capacities,
The
the
cone
of interest
The
ough;
474-page in particular,
elements
(sets
[83],
the
not
admit
a
RNP;
non-compact see
G. Winkler
base.
compact
monograph by Bourgin his Chapter 6 covers
of certain
with In
does
convex
[14]
extraordinarily representations integral
thor-
of Banach
spaces
is
subsets
for
below). has
focussed
R.R. Phelps: LNM 1757, pp. 101 - 114, 2001 © Springer-Verlag Berlin Heidelberg 2001
on
the
Choquet
ordering
and
Lectures
102
noncompact with
applications
view towards
a
(not necessarily
sets
convex
in Banach
probability,
in
Choquet's
on
Theorem
spaces,
[14])
in
as
statistical
mechanics
dimensional
convexity
and statistics.
A survey, in
appears
The
proofs, Fonf-Phelps-Lindenstrauss with
of this
rest
related
been
have
infinite
[38].
will
section
which
topics
of
some
be devoted
brief
to
body of these
from the
omitted
of
descriptions notes.
POTENTIAL THEORY
representation Integral and the tential theory,
play
theorems
Choquet potential
(or axiomatic)
theorem
role
important
an
in
of considerable
is
po-
in
use
use Unfortunately, that it would resubject deeply regard quire far more time and space then we are willing to spend in order to self-contained. What which is even moderately given an exposition harmonic functions and do is sketch some facts we can concerning theorems classical of the show how one representation integral may A much more theorem. of the Choquet be viewed as an instance book [7]. complete treatment may be found in Becker's subset of Euclidean nLet Q be a bounded, connected, open
abstract
this
is
(n
space
2)
!
harmonic
are
and Q.
in
Then
induces
a
Let
E
set
H
=
ordering
and on
E.
the
linear
convergence
H is
a
closed
convex
x0 be any metrizable compact
Let
Jh
=
:
h E
==
In a
of the
view cone,
0 :!
u
we
: :-
h,
see u
of this
property,
usually
referred
=:f
(X)
h(x)d1_t(h) (Section
characterization h lies
that
harmonic, the to
as
(X
on
implies
13)
extreme
an u
=
extreme
nonnegative harmonic
which
Q;
in
base
convex
theorems, measure
then
for
then,
M on
the
Q).
of extreme ray
Ah for
minimal
E
subsets
cone
point
H.
U
generated
space
compact
on
H, h(xo) 11 is a and uniqueness existence the cone By Choquet's exists a unique to each u in H there nonnegative extreme points h of X such that
X
h > 0 which
functions
of all
H be the
-
of uniform
metrizable
E is
lattice
in
H be the
let
by H, with the topology of Q.
theory.
imbedded
so
in
its
some
harmonic functions.
elements
of H if A
> 0.
of if
only
and
Because
functions
are
Section
Additional
16.
Topics
103
theorem to have any sigrepresentation of course, concrete one must nificance, description give a reasonably if Q is the open of the minimal functions. harmonic For instance, and if x0 ball of radius at the origin, r > 0 and center 0, then the h in X extreme i.e., a function points come from the Poisson kernel; with for where if and only if h is extreme some y IIy II r, P.
order
In
for
the
above
=
=
Py(x)
easily seen that the the boundary of the sphere It
is
(and
hence
we
could
IIX112 ylln
2
r'-2r
=
=
jjX
Py
map y -
exX,
onto
used
have
the
above
The
can
to
an
proof exposition Notes
fact
of this that
tained
in
sphere
induces
extreme, =
A
and
the
closure
related
they
a
of
by
Milman's
Y, and Y affine Since
are.
given
is
for
the
theorem). on
The
boundary a unique
the exists
r).
theorem
be ob-
can
provided one Py. An elementary
theorem, by
Holland[43].
F.
may be found
results
then
one-to-one
all
been
is compact
in
Since
itself, we
con-
of the
rotation
map of X onto
exX is nonempty,
Lecture
the
exX is
theorem,
closed.
An
if
one
conclude
Py
that
Y.
POSITIVE be
n
Herglotz
from
theorem
0
THEOREM
group
G is said
to
Lectures
104
Choquet's
on
Theorem
A,, are complex A,,... then f (0) is easily seen that if f is positive definite, < of real and If (t) I f (0) for all t in G. If a function f is a character of G into the group of all complex numbers G (i.e., a homomorphism definite. of modulus Suppose that G is locally 1), then f is positive of and all P let be the continuous definite cone compact positive
whenever
tj,
numbers.
It
functions
on
f
of those
t,,
is
G.
in L'
ff In the
f
cap
that
in
the
are
every
Then
(G)
g(s
P
+
K with
(t)
< 1.
positive =
of
eralization
and
line
finite
nonnegative
a
Since
the
each
a
The
classical
points
subset
(g
E
L'(G)).
set
K
X of
f
dlt (X)
X(t)
p
a
on
the
on
-4
e'xt
set,
it
can
it follows
for
form
G has the
This
(where
t
form
G, and
characters.
of Bochner closed
f
consisting points of this
cap,
extreme
nonzero
function
of the
form
universal
a
definite
theorem is
a
characters
measure
character
extreme
and has
continuous
f W for
ds dt > 0
K is closed
I If 11
of the
as
satisfy
t)g(s)f
(essentially) continuous
be considered
can
which
topology,
weak*
of those
of G and
elements
are
is
G is some
actually
be
a
gen-
the
real
real
x).
proved
to use the Stonepossible theorem determined Weierstrass to show that by f. [t is uniquely has a close with group representations, This result connection in a definite function each continuous since on G defines, positive of G, and the canonical unitary representation way, a continuous irreducible the The above characters to representations. correspond shows that every cyclic representation essentially integral representaof tion of G (and hence every representation G) is a "direct integral" further of irreducible For see details, representations. [33] and [58]. result which can be used to It is worthwhile to sketch a simple the The K of show that the extreme the characters. set are points in what follows which are left unproved facts may be found in [58, called The proof is a "symmetric 10, 301 (where a "*-algebra" ring"). of this result due to J. L. Kelley and R. L. Vaught[48]. is essentially of course, obtained It is applied, to the commutative by *-algebra
by
the
Krein-Milman
theorem.
It
is
also
Section
adjoining
identity
the
(which doesn't Rudin[70]. Suppose and
e
functionals in A. If f
all
x
for
all
Any
(e
+
Eix),
Define
the
-+
x
identity convex of all and f (x*x) > 0 for f (x)f (y) f (xy)
1
=
in
with
K be the
Let
f (e) satisfy point of K,
A which extreme
an
of A is
element
Ei's
then
set
-
fourth
form.
functional
linear
x
roots
A
on
4
i=1
Ic-,i
(e+Eix)*
hence
we
JJx*xJJ
that
f (x*xy).
f [(Xy)*(xy)]
-
4
assume
by g(y)
of the
of elements 1
F, unity);
-
of
We may also
g
g(y*y)
combination
identity
the
are
is of that
x
linear
a
polarization
the the
where that
assume
is
(consider
form x*x
on
may be found
*-algebra
Banach x*.
proof
A related
A.
x, y in
PROOF.
f
of the
commutative
a
involution
L'(G). involution)
algebra
group
continuity
A is
that
105
the
to
assume
continuous
linear
Topics
Additional
16.
may < 1.
For any y,
0
and
(f JJx*xJJ
since
g)(y*y)
-
< I
f [y*y(e
=
implies
e
-
x*x
(
00
z*
z
-
=
E n=O
x*x)]
-
=
12 n
! 0,
where
z*z,
=
f (y*y z*z)
) ( -X*X)n
E A.
Thus, f g), where g and f g are in the cone generated g + (f we have Af for some A ! 0. From by K. Since f is extreme, g and that I conclude A we f (e) g (y) g (e) g (e) f (y) for all y, the proof. i.e., f (x*xy) f (x*x)f (y) for all y which completes =
-
-
=
=
=
=
=
It
is
even
g
(x)
and
=
0
lg(X)12
-
0 and
need
compact
image
the
X is
represen-
set
in
any
set
it will
set,
images
homothetic
generally
little
bear
plane,
triangle images will "look" homothetic another will be that is, it image of X. This theorem of the following version is the two-dimensional the avoids which D. G. Kendall [49] has given a proof assumption.
blence
to
X.
intersection
space
E is
of
any
or
another
two
a
in the
However, if X is any of two of its homothetic
THEOREM16.3
A compact
simplex homothetic homothetic
if
and
convex
only if
of
concept
convex
of
sim-
a
a
topo-
of
the
E E.
x
of two different convex
integral
or
We first
A homothetic
intersection
the
be
E.
where
aX + x,
orderings
to
geometric.
Suppose
16.2
DEFINITION
While
no
reference
dimensional
of infinite
characterization
is
homothetic
logical form
elegant
an
the
subset
X
intersection
images of X is either image of X.
of
a
a
of X resem-
nontrivial like
just
X;
observation of
Choquet.
compactness
topological
vector
(ax+x)npx+y) empty,
a
single
point
Lectures
110
characterization
This
leads
of a theorem generalization for a decreasing sequence
simplices
is
of finite
family
a
x, y G X and
for
(x
aX)
+
1,
n
directed
(y
X)
+
=
of
following
of the
proved simplices.
who
in 1952
it
family
directed
is
and let
that
(x
+ aX) n
a
0 < -yX
zX and
a
7xX.
+
zx
simplices
assume
X E X there
every
Theorem
of
com-
simplex.
a
PROOF. Let X be Then
[12],
downward
a
Choquet's
proof
dimensional
of
Let 0 < a,