volume 6, issue 5, article 133, 2005.
Received 23 March, 2005;
accepted 23 September, 2005.
Communicated by:S.S. Dragomir
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Journal of Inequalities in Pure and Applied Mathematics
JENSEN’S INEQUALITY FOR CONDITIONAL EXPECTATIONS
FRANK HANSEN
Institute of Economics Copenhagen University Studiestraede 6
1455 Copenhagen K, Denmark.
EMail:Frank.Hansen@econ.ku.dk
c
2000Victoria University ISSN (electronic): 1443-5756 088-05
Jensen’s Inequality for Conditional Expectations
Frank Hansen
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Abstract
We study conditional expectations generated by an abelianC∗-subalgebra in the centralizer of a positive functional. We formulate and prove Jensen’s in- equality for functions of several variables with respect to this type of conditional expectations, and we obtain as a corollary Jensen’s inequality for expectation values.
2000 Mathematics Subject Classification:47A63, 26A51.
Key words: Trace function, Jensen’s inequality, Conditional expectation.
This paper is based on the talk given by the author within the “International Conference of Mathematical Inequalities and their Applications, I”, December 06- 08, 2004, Victoria University, Melbourne, Australia [http://rgmia.vu.edu.au/
conference]
Contents
1 Preliminaries . . . 3 2 Conditional Expectations. . . 4 3 Jensen’s inequality . . . 6
References
Jensen’s Inequality for Conditional Expectations
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1. Preliminaries
Ann-tuplex= (x1, . . . , xn)of elements in aC∗-algebraAis said to be abelian if the elementsx1, . . . , xnare mutually commuting. We say that an abelian n- tuple xof self-adjoint elements is in the domain of a real continuous function f of n variables defined on a cube of real intervals I = I1 × · · · ×In if the spectrum σ(xi)of xi is contained in Ii for each i = 1, . . . , n.In this situation f(x) is naturally defined as an element in A in the following way. We may assume thatAis realized as operators on a Hilbert space and let
xi = Z
λ dEi(λ) i= 1, . . . , n
denote the spectral resolutions of the operators x1, . . . , xn. Since the n-tuple x = (x1, . . . , xn) is abelian, the spectral measures E1, . . . , En are mutually commuting. We may thus set
E(S1× · · · ×Sn) =E1(S1)· · ·En(Sn)
for Borel sets S1, . . . , Sn inRand extendE to a spectral measure onRn with support inI.Setting
f(x) = Z
f(λ1, . . . , λn)dE(λ1, . . . , λn)
and sincef is continuous, we finally realize thatf(x)is an element inA.
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2. Conditional Expectations
Let C be a separable abelianC∗-subalgebra of a C∗-algebraA,and let ϕ be a positive functional onAsuch thatC is contained in the centralizer
Aϕ ={y∈ A |ϕ(xy) = ϕ(yx) ∀x∈ A}.
The subalgebra is of the formC =C0(S)for some locally compact metric space S.
Theorem 2.1. There exists a positive linear mapping
(2.1) Φ : M(A)→L∞(S, µϕ)
on the multiplier algebraM(A)such that
Φ(xy) = Φ(yx) = Φ(x)y, x∈M(A), y ∈ C almost everywhere, and a finite Radon measureµϕonSsuch that
Z
S
z(s)Φ(x)(s)dµϕ(s) =ϕ(zx), z ∈ C, x∈M(A).
Proof. By the Riesz representation theorem there is a finite Radon measureµϕ onSsuch that
ϕ(y) = Z
S
y(s)dµϕ(s), y∈ C =C0(S).
For each positive elementxin the multiplier algebraM(A)we have 0≤ϕ(yx) = ϕ(y1/2xy1/2)≤ kxkϕ(y), y∈ C+.
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The functional y → ϕ(yx) onC consequently defines a Radon measure on S which is dominated by a multiple ofµϕ,and it is therefore given by a unique ele- mentΦ(x)inL∞(S, µϕ).By linearization this defines a positive linear mapping defined on the multiplier algebra
(2.2) Φ : M(A)→L∞(S, µϕ)
such that Z
S
z(s)Φ(x)(s)dµϕ(s) =ϕ(zx), z ∈ C, x∈M(A).
Furthermore, since Z
S
z(s)Φ(yx)(s)dµϕ(s) =ϕ(zyx) = Z
S
z(s)y(s)Φ(x)(s)dµϕ(s) for x ∈ M(A) and z, y ∈ C we derive Φ(yx) = yΦ(x) = Φ(x)y almost everywhere. Since C is contained in the centralizer Aϕ and thus ϕ(zxy) = ϕ(yzx),we similarly obtainΦ(xy) = Φ(x)yalmost everywhere.
Note thatΦ(z)(s) = z(s)almost everywhere in S for eachz ∈ C, cf. [6, 4, 5]. With a slight abuse of language we callΦa conditional expectation even though its range is not a subalgebra ofM(A).
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3. Jensen’s inequality
Following the notation in [5] we consider a separableC∗-algebraAof operators on a (separable) Hilbert spaceH,and a field(at)t∈T of operators in the multiplier algebra
M(A) ={a ∈B(H)|aA+Aa ⊆ A}
defined on a locally compact metric spaceT equipped with a Radon measureν.
We say that the field (at)t∈T is weak*-measurable if the functiont → ϕ(at)is ν-measurable onT for eachϕ ∈ A∗;and we say that the field is continuous if the functiont→atis continuous [4].
As noted in [5] the field(at)t∈T is weak*-measurable, if and only if for each vectorξ ∈Hthe functiont→atξis weakly (equivalently strongly) measurable.
In particular, the composed field(a∗tbt)t∈T is weak*-measurable if both(at)t∈T
and(bt)t∈T are weak*-measurable fields.
If for a weak*-measurable field(at)t∈T the functiont→ |ϕ(at)|is integrable for every stateϕ∈S(A)and the integrals
Z
T
|ϕ(at)|dν(t)≤K, ∀ϕ∈S(A)
are uniformly bounded by some constant K, then there is a unique element (a C∗-integral in Pedersen’s terminology [8, 2.5.15]) in the multiplier algebra M(A),designated by
Z
T
atdν(t), such that
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ϕ Z
T
atdν(t)
= Z
T
ϕ(at)dν(t), ∀ϕ ∈ A∗.
We say in this case that the field(at)t∈T is integrable. Finally we say that a field (at)t∈T is a unital column field [1,4,5], if it is weak*-measurable and
Z
T
a∗tatdν(t) = 1.
We note that a C∗-subalgebra of a separableC∗-algebra is automatically sepa- rable.
Theorem 3.1. Let C be an abelian C∗-subalgebra of a separable C∗-algebra A, ϕbe a positive functional on A such thatC is contained in the centralizer Aϕand let
Φ : M(A)→L∞(S, µϕ)
be the conditional expectation defined in (2.1). Let furthermoref :I →Rbe a continuous convex function ofn variables defined on a cube, and lett → at ∈ M(A)be a unital column field on a locally compact Hausdorff spaceT with a Radon measureν.Ift →xtis an essentially bounded, weak*-measurable field onT of abeliann-tuples of self-adjoint elements inAin the domain off,then
f(Φ(y1), . . . ,Φ(yn))≤Φ Z
T
a∗tf(xt)atdν(t) (3.1)
almost everywhere, where then-tupleyinM(A)is defined by setting y= (y1, . . . , yn) =
Z
T
a∗txtatdν(t).
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Proof. The subalgebra C is as noted above of the form C = C0(S) for some locally compact metric spaceS,and since theC∗-algebraC0(I)is separable we may for almost everysinS define a Radon measureµs onI by setting
µs(g) = Z
I
g(λ)dµs(λ) = Φ Z
T
a∗tg(xt)atdµ(t)
(s), g ∈C0(I).
Since
µs(1) = Φ Z
T
a∗tatdµ(t)
= Φ(1) = 1
we observe thatµsis a probability measure. If we putgi(λ) = λi then Z
I
gi(λ)dµs(λ) = Φ Z
T
a∗txitatdµ(t)
(s) = Φ(yi)(s) fori= 1, . . . , nand sincef is convex we obtain
f(Φ(y1)(s), . . . ,Φ(yn)(s)) =f Z
I
g1(λ)dµs(λ), . . . , Z
I
gn(λ)dµs(λ)
≤ Z
I
f(g1(λ), . . . , gn(λ))dµs(λ)
= Z
I
f(λ)dµs(λ)
= Φ Z
T
a∗tf(xt)atdµ(t)
(s) for almost allsinS.
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The following corollary is known as “Jensen’s inequality for expectation values”. It was formulated (for continuous fields) in the reference [3], where a more direct proof is given.
Corollary 3.2. Let f : I → Rbe a continuous convex function ofn variables defined on a cube, and lett →at∈B(H)be a unital column field on a locally compact Hausdorff space T with a Radon measure ν.Ift → xt is a bounded weak*-measurable field onT of abeliann-tuples of self-adjoint operators onH in the domain off,then
f (y1ξ |ξ), . . . ,(ynξ |ξ)
≤ Z
T
a∗tf(xt)atdν(t)ξ|ξ (3.2)
for any unit vectorξ∈H,where then-tupleyis defined by setting y= (y1, . . . , yn) =
Z
T
a∗txtatdν(t).
Proof. The statement follows from Theorem3.1by choosingϕas the trace and letting C be the C∗-algebra generated by the orthogonal projection P on the vector ξ. Then C = C0(S) whereS = {0,1}, and an element z ∈ C has the representation
z =z(0)P +z(1)(1−P).
The measuredµϕgives unit weight in each of the two points, and the conditional expectationΦis given by
Φ(x)(s) =
( (xξ |ξ) s= 0 Tr(x−P x) s= 1.
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Indeed,
ϕ(zx) = Tr
z(0)P +z(1)(1−P) x
=z(0)Φ(x)(0) +z(1)Φ(x)(0)
= Z
S
z(s)Φ(x)(s)ds
as required. The statement follows by evaluating the functions appearing on each side of the inequality (3.1) at the points= 0.
Remark 1. If we chooseνas a probability measure onT,then the trivial field at= 1fort ∈T is unital and (3.2) takes the form
f Z
T
x1tdν(t)ξ |ξ
, . . . , Z
T
xntdν(t)ξ|ξ
≤ Z
T
f(xt)dν(t)ξ|ξ
for bounded weak*-measurable fields of abeliann-tuplesxt= (x1t, . . . , xnt)of self-adjoint operators in the domain off and unit vectorsξ. By choosingν as an atomic measure with one atom we get a version
f (x1ξ |ξ), . . . ,(xnξ|ξ)
≤ f(x)ξ |ξ (3.3)
of the Jensen inequality by Mond and Peˇcari´c [7]. By further considering a direct sum
ξ=
m
M
j=1
ξj and x= (x1, . . . , xn) =
m
M
j=1
(x1j, . . . , xnj)
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we obtain the familiar version
f
m
X
j=1
(x1jξj |ξj), . . . ,
m
X
j=1
(xnjξj |ξj)
!
≤
m
X
j=1
f(x1j, . . . , xnj)ξj |ξj valid for abeliann-tuples(x1j, . . . , xnj), j = 1, . . . , mof self-adjoint operators in the domain off and vectorsξ1, . . . , ξm withkξ1k2+· · ·+kξmk2 = 1.
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References
[1] H. ARAKI AND F. HANSEN, Jensen’s operator inequality for functions of several variables, Proc. Amer. Math. Soc., 128 (2000), 2075–2084.
[2] L.G. BROWN AND H. KOSAKI, Jensen’s inequality in semi-finite von Neumann algebras, J. Operator Theory, 23 (1990), 3–19.
[3] F. HANSEN, Monotone trace functons of several variables, International Journal of Mathematics, 16 (2005), 777–785.
[4] F. HANSEN AND G.K. PEDERSEN, Jensen’s operator inequality, Bull.
London Math. Soc., 35 (2003), 553–564.
[5] F. HANSEN AND G.K. PEDERSEN, Jensen’s trace inequality in several variables, International Journal of Mathematics, 14 (2003), 667–681.
[6] E. LIEB AND G.K. PEDERSEN, Convex multivariable trace functions, Reviews in Mathematical Physics, 14 (2002), 631–648.
[7] B. MOND AND J.E. PE ˇCARI ´C, On some operator inequalities, Indian Journal of Mathematics, 35 (1993), 221–232.
[8] G.K. PEDERSEN, Analysis Now, Graduate Texts in Mathematics, Vol.
118, Springer Verlag, Heidelberg, 1989, reprinted 1995.
[9] G.K. PEDERSEN, Convex trace functions of several variables on C∗- algebras, J. Operator Theory, 50 (2003), 157–167.