Citation: Elahe Jaafari, Mohammad Sadegh Asgari, Mohsen Shah Hosseini, Baharak Moosavi. On the Jensen’s inequality and its variants[J]. AIMS Mathematics, 2020, 5(2): 1177-1185. doi: 10.3934/math.2020081
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Let B(H) be the C∗–algebra of all bounded linear operators on a Hilbert space H. As customary, we reserve m, M for scalars and 1H for the identity operator on H. A self-adjoint operator A is said to be positive (written A≥0) if ⟨Ax,x⟩≥0 holds for all x∈H also an operator A is said to be strictly positive (denoted by A>0) if A is positive and invertible. If A and B are self-adjoint, we write B≥A in case B−A≥0. The Gelfand map f(t)↦f(A) is an isometrical ∗–isomorphism between the C∗–algebra C(σ(A)) of continuous functions on the spectrum σ(A) of a selfadjoint operator A and the C∗–algebra generated by A and the identity operator 1H. If f,g∈C(σ(A)), then f(t)≥g(t) (t∈σ(A)) implies that f(A)≥g(A).
A linear map Φ:B(H)→B(K) is positive if Φ(A)≥0 whenever A≥0. It's said to be unital if Φ(1H)=1K. A continuous function f defined on the interval J is called an operator convex function if f((1−v)A+vB)≤(1−v)f(A)+vf(B) for every 0<v<1 and for every pair of bounded self-adjoint operators A and B whose spectra are both in J.
The well-known Jensen inequality for the convex functions states that if f is a convex function on the interval [m,M], then
f(n∑i=1wiai)≤n∑i=1wif(ai) | (1.1) |
for all ai∈[m,M] and wi∈[0,1] (i=1,…,n) with ∑ni=1wi=1.
There is an extensive amount of literature devoted to Jensen’s inequality concerning different generalizations, refinements, and converse results, see, for example [1,8,11].
Mond and Pečarić [10] gave an operator extension of the Jensen inequality as follows: Let A∈B(H) be a self-adjoint operator with σ(A)⊆[m,M], and let f(t) be a convex function on [m,M], then for any unit vector x∈H,
f(⟨Ax,x⟩)≤⟨f(A)x,x⟩. |
Choi [2] showed if f:J→R is an operator convex function, A is a self-adjoint operator with the spectra in J, and Φ:B(H)→B(K) is unital positive linear mapping, then
f(Φ(A))≤Φ(f(A)). | (1.2) |
Though in the case of convex function the inequality (1.2) does not hold in general, we have the following estimate [3,Lemma 2.1]:
f(⟨Φ(A)x,x⟩)≤⟨Φ(f(A))x,x⟩ | (1.3) |
for any unit vector x∈K.
We here cite [4] and [13] as pertinent references to inequalities of types (1.2) and (1.3). For other recent results treating the Jensen operator inequality, we refer the reader to [5,9,12].
In the current paper, extensions of Jensen-type inequalities for the continuous function of self-adjoint operators on complex Hilbert spaces are given. Actually, a more generalization of (1.2) is discussed. Of course, this will be at the cost of additional conditions or weaker estimates.
We begin with the following auxiliary result:
Lemma 2.1. Let f:J→R be a convex and differentiable function on oJ (the interior of J) whose derivative f′ is continuous on oJ, let A,B∈B(H) be two self-adjoint operators with the spectra in [m,M]⊂oJ, and let Φ:B(H)→B(K) be a unital positive linear mapping. Then for any unit vector x∈K,
f′(⟨Φ(B)x,x⟩)(⟨Φ(A)x,x⟩−⟨Φ(B)x,x⟩)≤⟨Φ(f(A))x,x⟩−f(⟨Φ(B)x,x⟩)≤⟨Φ(f′(A)A)x,x⟩−⟨Φ(B)x,x⟩⟨Φ(f′(A))x,x⟩. |
Proof. Since f is convex and differentiable on oJ, then we have for any t,s∈[m,M],
f′(s)(t−s)≤f(t)−f(s)≤f′(t)(t−s). | (2.1) |
it is equivalent to
f′(s)t−f′(s)s≤f(t)−f(s)≤f′(t)t−f′(t)s. | (2.2) |
If we fix s∈[m,M] and apply the continuous functional calculus for A, we get
f′(s)A−f′(s)s1H≤f(A)−f(s)1H≤f′(A)A−sf′(A). |
Applying the positive linear mapping Φ, this implies
f′(s)Φ(A)−f′(s)s1K≤Φ(f(A))−f(s)1K≤Φ(f′(A)A)−sΦ(f′(A)). |
Therefore, for any unit vector x∈K, we have
f′(s)⟨Φ(A)x,x⟩−f′(s)s≤⟨Φ(f(A))x,x⟩−f(s)≤⟨Φ(f′(A)A)x,x⟩−s⟨Φ(f′(A))x,x⟩. |
Since Φ is unital, and σ(B)⊆[m,M], then σ(Φ(B))⊆[m,M]. Thus, by substituting s=⟨Φ(B)x,x⟩, we deduce the desired result.
Remark 2.1. By taking A=B in Lemma 2.1, we obtain a counterpart of (1.3).
We now have all the tools needed to write the proof of the first theorem.
Theorem 2.1. Let all the assumptions of Lemma 2.1 hold. Then
Φ(f(A))≤f(Φ(A))+δ1K | (2.3) |
where
δ=sup{⟨Φ(f′(A)A)x,x⟩−⟨Φ(A)x,x⟩⟨Φ(f′(A))x,x⟩:x∈K,‖x‖=1}. |
Proof. One can write,
0≤⟨Φ(f(A))x,x⟩−f(⟨Φ(A)x,x⟩)≤⟨Φ(f′(A)A)x,x⟩−⟨Φ(A)x,x⟩⟨Φ(f′(A))x,x⟩≤sup{⟨Φ(f′(A)A)x,x⟩−⟨Φ(A)x,x⟩⟨Φ(f′(A))x,x⟩: x∈K,‖x‖=1} |
thanks to Lemma 2.1. Whence,
⟨Φ(f(A))x,x⟩≤f(⟨Φ(A)x,x⟩)+δ |
for any unit vector x∈K.
Now we can write,
⟨Φ(f(A))x,x⟩≤f(⟨Φ(A)x,x⟩)+δ≤⟨f(Φ(A))x,x⟩+δ=⟨f(Φ(A))x,x⟩+⟨δ1Kx,x⟩=⟨f(Φ(A))+δ1Kx,x⟩ |
for any unit vector x∈K.
By replacing x by y‖y‖ where y is any vector in K, we deduce the desired inequality.
A kind of a converse of Theorem 2.1 can be considered as follows.
Theorem 2.2. Let all the assumptions of Lemma 2.1 hold. Then
f(Φ(A))≤Φ(f(A))+ξ1K | (2.4) |
where
ξ=sup{⟨f′(Φ(A))Φ(A)x,x⟩−⟨Φ(A)x,x⟩⟨f′(Φ(A))x,x⟩:x∈K,‖x‖=1}. |
Proof. Fix t∈[m,M]. Since [m,M] contains the spectra of the A and Φ is unital, so the spectra of Φ(A) is also contained in [m,M]. Then we may replace s in the inequality (2.2) by Φ(A), via a functional calculus to get
f(Φ(A))−f(t)1K≤f′(Φ(A))Φ(A)−tf′(Φ(A)). |
This inequality implies, for any x∈K with ‖x‖=1,
⟨f(Φ(A))x,x⟩−f(t)≤⟨f′(Φ(A))Φ(A)x,x⟩−t⟨f′(Φ(A))x,x⟩. | (2.5) |
Substituting t with ⟨Φ(A)x,x⟩ in (2.5). Thus,
0≤⟨f(Φ(A))x,x⟩−f(⟨Φ(A)x,x⟩)≤⟨f′(Φ(A))Φ(A)x,x⟩−⟨Φ(A)x,x⟩⟨f′(Φ(A))x,x⟩≤sup{⟨f′(Φ(A))Φ(A)x,x⟩−⟨Φ(A)x,x⟩⟨f′(Φ(A))x,x⟩: x∈K,‖x‖=1} |
i.e.,
⟨f(Φ(A))x,x⟩≤f(⟨Φ(A)x,x⟩)+ξ |
for any x∈K with ‖x‖=1.
On the other hand,
⟨f(Φ(A))x,x⟩≤f(⟨Φ(A)x,x⟩)+ξ≤⟨Φ(f(A))x,x⟩+ξ |
where the second inequality follows from (1.3). This completes the proof.
As we discussed above, inequality (2.1) plays a critical role in our Jensen type inequalities. Now, we intend to improve (2.1).
Proposition 2.1. Let f:J→R be a differentiable and convex, then for any s,t∈J
f(s)+f′(s)(t−s)≤f(t)−2(f(s)+f(t)2−f(s+t2)). |
Proof. Since f is convex on the interval J, we have
f((1−v)s+vt)=f((1−2v)s+2vs+t2)≤(1−2v)f(s)+2vf(s+t2)=(1−v)f(s)+vf(t)−2r(f(s)+f(t)2−f(s+t2)) |
for any s,t∈J and r=min{v,1−v}. Thus
f((1−v)s+vt)≤(1−v)f(s)+vf(t)−2r(f(s)+f(t)2−f(s+t2)) | (2.6) |
holds for any s,t∈J and r=min{v,1−v} with 0<v<1.
From the above inequality one can write
f(s+v(t−s))−f(s)≤vf(t)−vf(s)−2r(f(s)+f(t)2−f(s+t2)). |
Dividing by v>0, we get
f(s+v(t−s))−f(s)v≤f(t)−f(s)−2rv(f(s)+f(t)2−f(s+t2)). |
Now, if v→0, and by taking into account that for 0<v≤12, r=v we infer
f(s)+f′(s)(t−s)≤f(t)−2(f(s)+f(t)2−f(s+t2)) |
as desired.
Remark 2.2. Suppose that all assumptions of Proposition 2.1 hold. The convexity assumption on f guarantees that
f(s)+f(t)2−f(s+t2)≥0. |
Consequently,
f(s)+f′(s)(t−s)≤f(t)−2(f(s)+f(t)2−f(t+s2))≤f(t). |
Now, from Proposition 2.1, we get the following result.
Theorem 2.3. Let f:J→R be a convex and differentiable function on oJ (the interior of J) whose derivative f′ is continuous on oJ, let A∈B(H) self-adjoint operator with the spectra in [m,M]⊂oJ, and let Φ:B(H)→B(K) be a unital positive linear mapping. Then for any unit vector x∈K,
f(⟨Φ(A)x,x⟩)≤⟨Φ(f(A))x,x⟩−2(f(⟨Φ(A)x,x⟩)+⟨Φ(f(A))x,x⟩2−⟨Φ(f(⟨Φ(A)x,x⟩1H+A2))x,x⟩) | (2.7) |
and
⟨Φ(f(A))x,x⟩+⟨Φ(A)x,x⟩⟨Φ(f′(A))x,x⟩−⟨Φ(f′(A)A)x,x⟩+2(⟨Φ(f(A))x,x⟩+f(⟨Φ(A)x,x⟩)2−⟨Φ(f(⟨Φ(A)x,x⟩1H+A2))x,x⟩)≤f(⟨Φ(A)x,x⟩). | (2.8) |
Proof. If we fix s∈[m,M] and apply the continuous functional calculus for A, we get from Proposition 2.1,
f(s)1H+f′(s)(A−s1H)≤f(A)−2(f(s)1H+f(A)2−f(s1H+A2)). |
Applying the positive linear mapping Φ, this implies
f(s)1K+f′(s)(Φ(A)−s1K)≤Φ(f(A))−2(f(s)1K+f(A)2−Φ(f(s1H+A2))). |
Therefore, for any unit vector x∈K, we have
f(s)+f′(s)(⟨Φ(A)x,x⟩−s)≤⟨Φ(f(A))x,x⟩−2(f(s)+⟨f(A)x,x⟩2−⟨Φ(f(s1H+A2))x,x⟩). |
Since Φ is unital, and σ(A)⊆[m,M], then σ(Φ(A))⊆[m,M]. Thus, by substituting s=⟨Φ(A)x,x⟩, we deduce the inequality (2.7).
On the other hand, if we fix t∈[m,M] and apply the continuous functional calculus for A, then Proposition 2.1 implies,
f(A)+f′(A)(t1H−A)≤f(t)1H−2(f(A)+f(t)1H2−f(A+t1H2)). |
Applying unital positive linear mapping Φ, we infer
Φ(f(A))+tΦ(f′(A))−Φ(f′(A)A)≤f(t)1K−2(Φ(f(A))+f(t)1K2−Φ(f(A+t1H2))). |
Thus, for have any unit vector x∈K,
⟨Φ(f(A))x,x⟩+t⟨Φ(f′(A))x,x⟩−⟨Φ(f′(A)A)x,x⟩≤f(t)−2(⟨Φ(f(A))x,x⟩+f(t)2−⟨Φ(f(A+t1H2))x,x⟩). | (2.9) |
Now, by taking t=⟨Φ(A)x,x⟩ in (2.9), we get (2.8).
Remark 2.3. We emphasize that (2.7) provides an improvement of (1.3), and (2.8) can be considered as a counterpart of (1.3).
In the next result we consider a more general case. We remark that this result extends and improves [7,Lemma 2.3]
Theorem 2.4. Let f:J→R be a convex and differentiable function on oJ (the interior of J) whose derivative f′ is continuous on oJ with f(0)≤0, let A∈B(H) self-adjoint operator with the spectra in [m,M]⊂oJ, and let Φ:B(H)→B(K) be a unital positive linear mapping. Then for any vector x∈K with ‖x‖≤1,
f(⟨Φ(A)x,x⟩)≤⟨Φ(f(A))x,x⟩−2(‖x‖2f(1‖x‖2⟨Φ(A)x,x⟩)+⟨Φ(f(A))x,x⟩2−⟨Φ(f(1‖x‖2⟨Φ(A)x,x⟩1H+A2))x,x⟩). |
Proof. Let x∈K with ‖x‖=1. Set y=x/‖x‖, so that ‖y‖=1. We have
f(⟨Φ(A)x,x⟩)=f(‖x‖2⟨Φ(A)y,y⟩+(1−‖x‖2)0)≤‖x‖2f(⟨Φ(A)y,y⟩)+(1−‖x‖2)f(0)(since f is convex)≤‖x‖2f(⟨Φ(A)y,y⟩)(since f(0)≤0)≤‖x‖2[⟨Φ(f(A))y,y⟩−2(f(⟨Φ(A)y,y⟩)+⟨Φ(f(A))y,y⟩2)−⟨Φ(f(⟨Φ(A)y,y⟩1H+A2))y,y⟩](by (2.7))=⟨Φ(f(A))x,x⟩−2(‖x‖2f(1‖x‖2⟨Φ(A)x,x⟩)+⟨Φ(f(A))x,x⟩2−⟨Φ(f(1‖x‖2⟨Φ(A)x,x⟩1H+A2))x,x⟩). |
The proof is completed.
Remark 2.4. As we can see if ‖x‖=1, then Theorem 2.4 turns out to be (2.7).
Theorem 2.3 also implies the following result, which presents refinement and reverse of scalar Jensen inequality (1.1).
Corollary 2.1. Let f:J→R be a convex and differentiable function, let a1,…,an∈J, and let w1,…,wn be positive scalars such that ∑ni=1wi=1. Then
f(n∑i=1wiai)≤n∑i=1wif(ai)−2(f(∑ni=1wiai)+∑ni=1wif(ai)2−n∑i=1wif(∑nj=1wjaj+ai2)) |
and
n∑i=1wif(ai)+(n∑i=1wiai)(n∑i=1wif′(ai))−n∑i=1wiaif′(ai)+2(∑ni=1wif(ai)+f(∑ni=1wiai)2−n∑i=1wif(ai+∑nj=1wjaj2))≤f(n∑i=1wiai). |
Proof. The proof follows from Theorem 2.3, by letting
Φ(A)=A, A=[a10⋱0an] & x=[√w1√wn]. |
Remark 2.5. Closely connected to the Jensen inequality is the Edmundson–Lah–Ribarić inequality [6]. From (2.6), by interchanging 1−v=t−mM−m, v=M−tM−m, s=M, and t=m, we get
f(t)≤t−mM−mf(M)+M−tM−mf(m)−2r(f(M)+f(m)2−f(M+m2)) | (2.10) |
where r=min{t−mM−m,M−tM−m}=12−1M−m|t−M+m2|. Hence, from (2.10), we get for any unit vector x∈K
⟨Φ(f(A))x,x⟩≤⟨Φ(A)x,x⟩−mM−mf(M)+M−⟨Φ(A)x,x⟩M−mf(m)−2(f(M)+f(m)2−f(M+m2))(12−1M−m⟨Φ(|A−M+m21H|)x,x⟩) |
whenever A∈B(H) is a self-adjoint operator with the spectra in [m,M], and Φ:B(H)→B(K) is a unital positive linear mapping. Of course, this can be regarded as an extension and improvement of Edmundson–Lah–Ribarić inequality.
The authors wish to thank an anonymous referee for his/her helpful suggestions and comments, improving the readability of the paper.
All authors declare no conflicts of interest.
[1] | M. K. Bakula, J. Pečarić, J. Perić, On the converse Jensen inequality, Appl. Math. Comput., 218 (2012), 6566-6575. |
[2] |
M. D. Choi, A. Schwarz, Inequality for positive linear maps on C*-algebras, Illinois J. Math., 18 (1974), 565-574. doi: 10.1215/ijm/1256051007
![]() |
[3] |
S. Furuichi, H. R. Moradi, A. Zardadi, Some new Karamata type inequalities and their applications to some entropies, Rep. Math. Phys., 84 (2019), 201-214. doi: 10.1016/S0034-4877(19)30083-7
![]() |
[4] |
F. Hansen, J. Pečarić, J. Perić, Jensen's operator inequality and it's converses, Math. Scand., 100 (2007), 61-73. doi: 10.7146/math.scand.a-15016
![]() |
[5] |
L. Horváth, K. A. Khan, J. Pečarić, Cyclic refinements of the different versions of operator Jensen's inequality, Electron. J. Linear Algebra, 31 (2016), 125-133. doi: 10.13001/1081-3810.3098
![]() |
[6] | P. Lah, M. Ribarić, Converse of Jensen's inequality for convex functions, Univ. Beograd. Publ. Elektrotehn. Fak. Ser. Mat. Fiz., 460 (1973), 201-205. |
[7] |
J. S. Matharu, M. S. Moslehian, J. S. Aujla, Eigenvalue extensions of Bohr's inequality, Linear Algebra Appl., 435 (2011), 270-276. doi: 10.1016/j.laa.2011.01.023
![]() |
[8] | A. McD. Mercer, A variant of Jensen's inequality, J. Inequal. Pure Appl. Math., 4 (2003), 73. |
[9] | J. Mićić, H. R. Moradi, S. Furuichi, Choi-Davis-Jensen's inequality without convexity, J. Math. Inequal., 12 (2018), 1075-1085. |
[10] | B. Mond, J. Pečarić, On Jensen's inequality for operator convex functions, Houston J. Math., 21 (1995), 739-753. |
[11] | H. R. Moradi, S. Furuichi, F. C. Mitroi-Symeonidis, An extension of Jensen's operator inequality and its application to Young inequality, Rev. R. Acad. Cienc. Exactas Fís. Nat. Ser. A Mat., 113 (2019), 605-614. |
[12] |
H. R. Moradi, M. E. Omidvar, M. Adil Khan, Around Jensen's inequality for strongly convex functions, Aequationes Math., 92 (2018), 25-37. doi: 10.1007/s00010-017-0496-5
![]() |
[13] | M. Sababheh, H. R. Moradi, S. Furuichi, Integrals refining convex inequalities, Bull. Malays. Math. Sci. Soc., 2019 (2019), 1-17. |
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