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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

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Jensen’s Inequality for Conditional Expectations

Frank Hansen

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J. Ineq. Pure and Appl. Math. 6(5) Art. 133, 2005

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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

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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(atbt)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

atatdν(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

atf(xt)atdν(t) (3.1)

almost everywhere, where then-tupleyinM(A)is defined by setting y= (y1, . . . , yn) =

Z

T

atxtatdν(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

atg(xt)atdµ(t)

(s), g ∈C0(I).

Since

µs(1) = Φ Z

T

atatdµ(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

atxitatdµ(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

atf(xt)atdµ(t)

(s) for almost allsinS.

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Jensen’s Inequality for Conditional Expectations

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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

atf(xt)atdν(t)ξ|ξ (3.2)

for any unit vectorξ∈H,where then-tupleyis defined by setting y= (y1, . . . , yn) =

Z

T

atxtatdν(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

(x1jξjj), . . . ,

m

X

j=1

(xnjξjj)

!

m

X

j=1

f(x1j, . . . , xnjjj valid for abeliann-tuples(x1j, . . . , xnj), j = 1, . . . , mof self-adjoint operators in the domain off and vectorsξ1, . . . , ξm with1k2+· · ·+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.

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