Logarithmic Submajorization and Symmetric Quasi-Norm Inequalities on Operators∗
2021-07-24WANGYunYANCheng
WANG Yun,YAN Cheng
(School of Mathematics and System Sciences,Xinjiang University,Urumqi Xinjiang 830046,China)
Abstract:Using the method of majorization and the properties of quasi-norms,we give some quasi-norm inequalities related to Hayajneh and Kittaneh’s conjecture for operator in semifinite von Neumann algebras.Let E(M)be symmetric quasi-Banach space and let with xiyi=yixi,i=1,2,···, n,then.Some logarithmic submajorization inequalities for operator in semifinite von Neumann algebras are also considered.
Key words:logarithmic submajorisation inequalities;von Neumann algebras;noncommutative symmetric quasi-Banach space
0 Introduction
In order to solve Bourin’s Question,Hayajneh-Kittaneh[2]proposed the following stronger question
and
Obviously,replacingA1,A2,B1andB2byAp,Aq,BpandBq,respectively,we can get inequality(1)and(2).
A special case(i.e.,k=2)of inequalities(5)confirms a conjecture of Hayajneh and Kittaneh(3).
On the other hand,Liu-Wang-Sun[4]showed that ifAi,Bi∈such thatAiBi=BiAi,then
The inequality(4)can be derived from(6)by takingk=2.
In 2016,Han-Shao[5]proved the inequality(5)forp-norm on noncommutativeLpspaces associate with a semi-finite von Neumann algebra.The aim of this paper is to show some logarithmic submajorization and quasi-norm inequalities on noncommutative symmetric quasi-Banach spaces.By adopting the techniques in [6 −8],we obtain some logarithmic submajorization inequalities.As an application,we show that the inequalities(5)and(6)hold on noncommutative symmetric quasi-Banach spaces with order continuous quasi-norm.
1 Preliminaries
We denote by M a semi-finite von Neumann algebra on the Hilbert space H,with a fixed faithful and normal semi-finite trace τ,and M+its positive part.Let S+(M)={x∈M+:τ(s(x)<∞)}and S(M)be the liner span of S+(M).The elements of S(M)are said to be supported by projection of finite trace.We will often denote S+(M)and S(M)simply by S+and S,respectively.A closed densely defined operatorxon H is said to be affiliated with M ifux=xufor any unitaryuin the commutant M′of M.
An operatorxaffiliated with M is said to be measurable with respect to(M,τ)(or simply measurable)if for any δ>0 there existse∈P such that
We denote byL0(M,τ),or simplyL0(M),the family of all measurable operators.
Definition 1Letx∈L0(M,τ)andt>0.The generalized singular number ofxµt(x)is defined by
We denote simply byµ(x)the functiont→µt(x).Ifxis positive,then
See[7]for basic properties and detailed information onµt(x).
Forx∈L0(M)andt>0,we define Λt(x)by
To insure that Λt(x)is well-defined(i.e.∞−∞does not occur),we will consider,in the remainder of this paper,only the class of measurable operatorsxsatisfying:x∈M orµt(x)≤Ct−α,C,α>0.
Letx,ybe two τ−measurable operators.we have
For further details and proofs,we refer the reader to[7,9].
A quasi-Banach latticeEis called a symmetric quasi-Banach space iff∈E,g∈L0(0,∞)andµ(g)≤µ(f)implies thatg∈Eand‖g‖E≤‖f‖E(see[6,10]for more details).For 0 LetEbe a symmetric quasi-Banach space on (0,∞).We say thatEhas order continuous quasi-norm ‖·‖ if for every netfi,i∈IinEsuch thatfi↓0 implies‖fi‖↓0.We define Then (E(M),‖·‖E(M)) is a noncommutative symmetric quasi-Banach space.IfE=Lp,then (E(M),‖·‖E(M)) is the usual noncommutativeLpspace(Lp(M),‖·‖p).For 0 As is shown in[6],ifEis a symmetric Banach space,thenE(r)(M)=E(M)(r),where Further details may be found in[6,10]. Definition 2Letx,y∈M.We say thatxis logarithmic submajorization byyand writex≺logyif and only if The following lemmas will be used to prove the main results in this section.The first lemma is from Theorem 5.11 of[11],the second lemma is from Remark 1 of[12]. The following corollary can be obtained from Lemma 3 and we give its proof separately for easy reference. ProofThrough Lemma 1,Lemma 3.4 of[13]and Theorem 2 of[12],we obtain ProofAccording to Theorem 3 of[14](see also[15]),we obtainxy∈E(r)(M).On the other hand,we know from the fact thatE(M)is an α-convex symmetric quasi-Banach space thatE(r)isrα-convex.Then whereVis a family of positive measures on(0,∞)(Page 500 of[16]).It is easy to see that We can now formulate our main result. ProofIt follows from Theorem 3 of[14](see also[15])that Let 0 ≤xi∈E(M)(p)∩M,0 ≤yi∈E(M)(q)∩M,i=1,2,···,k.Then which implies thatAis PPT.Consequently, is also PPT.From Corollary 2,we get According to Lemma 2.6 of[7],we have Then On the other hand,we can see from Page 271 of[7]that τ(e(n,∞)(x))→0 asn→∞.Therefore,we obtain Lettingg(t)=,Theorem 1.1 of[17],Theorem 2.1 of[18]and Lemma 2.5(iv)of[7]now yields This implies that Similarly, We can conclude from Theorem 3 of[14]that By an argument similar to the one presented above,we obtain asn→∞.It follows that asn→∞.Hence asn→∞.Combining(14)and(15)with(16),we have This completes the proof. Lemma 4LetEbe a symmetric Banach space and let 0 ≤xi,i=1,2,···,k∈E(M).Then ProofAccording to Theorem 5.3 of[19],letf(t)=tr,r≥1,we get Combining(17)with(13)gives the lemma. ProofFirst,it follows from Theorem 3 of[14]that Note that if we setx1=xt,y1=x1−t,x2=yt,y2=y1−t,in Theorem 1,and setn=2,we get the following inequality. Corollary 4Letx,y∈E(M)+.Then In this section,we will give some logarithmic submajorization inequalities related to log convex function.In the following we need the definition of log convex function.Letfbe a non-negative real function[0,∞).The functionfis called log convex if where 0<α<1 ands,t∈[0,∞). Proposition 2Letfbe a continuous increasing function on[0,+∞]such thatf(0)=0 and lett→f(et)be convex.Ifx,y∈andp≥q>0,then Moreover,ifx,y∈M, That is to say, Takingf(t)=ta,a>0 in the above inequality,we have The following result may be proved in much the same way as matrix. Lemma 5Letx,y∈M be self-adjoint.Then Theorem 2Letx,y∈M be self-adjoint.Then By the Lemma 2.5(i)(v) of [7],we know µt+s(T)≤µs(T−S)+µt(S) and µt+s(S)≤µs(S−T)+µt(T).Therefore,µt+s(T)a≤µs(T−S)a+µt(S)aandµt+s(S)a≤µs(S−T)a+µt(T)afor 0 It follows from(20)and Lemma 5 that hence that Lettinga↓0.Then the assertion follows(see Page 288 of[7]). Corollary 5Ifx,y∈M+are invertible,then ProofFrom Theorem 2,we deduce Therefore,this corollary is proved by Lemma 2.5(v)of[7]. Lemma 6Let f be a convex continuous non-negative increasing function on(0,∞)andx,y∈M+.Then ProofIfx≥0,we can getf(〈xξ,ξ〉)≤〈f(x)ξ,ξ〉,where ξ ∈H. Sincex,y∈M+,by(7),we obtain Therefore, Theorem 3Let logfbe a convex continuous non-negative increasing function on(0,∞).Ifx,y∈M+are invertible,then ProofIt follows from Lemma 2,Corollary 5 and Lemma 6 that2 Main results
3 Logarithmic submajorization inequalities