Abstract
Let\(\ A_{1},A_{2},B_{1},B_{2},X_{1},X_{2},Y_{1}\) and \(Y_{2}\) be compact operators on a complex separable Hilbert space. Then
for \(j=1,2,...\) where
and
Several singular value inequalities for compact operators and matrices are also given.
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1 Introduction
Let \(\mathbb {B} ( \mathbb {H} )\) denote the space of all bounded linear operators on a complex separable Hilbert space \(\mathbb {H}\) and let \(\mathbb {K} ( \mathbb {H} )\) denote the two-sided ideal of compact operators in \(\mathbb {B} ( \mathbb {H} )\). For \(A\in \mathbb {K} ( \mathbb {H} )\), the singular values of A denoted by \(s_{_{1}}(A),s_{2}(A),...\) are the eigenvalues of the positive operator \(\left| A\right| =\left( A^{*}A\right) ^{1/2}\), which is denoted by \(\left| A\right| \ge 0\), enumerated as \(s_{_{1}}(A)\ge s_{2}(A)\ge \cdots\) and repeated according to multiplicity. Properties of singular values where \(A,B\in \mathbb {K} ( \mathbb {H} )\) are listed below:
-
(a)
$$\begin{aligned} s_{j}(A)=s_{j}(A^{*})=s_{j}(\left| A\right| )=s_{j}(\left| A^{*}\right| ) \end{aligned}$$(1)
for \(j=1,2,...\)
-
(b)
If \(A,B\ge 0\) and \(A\le B\), then
$$\begin{aligned} s_{j}(A)\le s_{j}(B) \end{aligned}$$(2)for \(j=1,2,...\) This fact follows by applying Weyl’s monotonicity principle (see, e.g., [7, p. 63] or [10, p. 26]). Moreover, \(s_{j}(A)\le s_{j}(B)\) if and only if \(s_{j}(A\oplus A)\le s_{j}(B\oplus B)\) for \(j=1,2,...\). Here, we use the direct sum notation \(A\oplus B\) for the block-diagonal operator \(\left[ \begin{array}{cc} A &{} 0 \\ 0 &{} B \end{array} \right]\) defined on \(\mathbb {H} \oplus \mathbb {H}\).
-
(c)
$$\begin{aligned} s_{j}\left[ \begin{array}{cc} A &{} 0 \\ 0 &{} B \end{array} \right] =s_{j}\left[ \begin{array}{cc} 0 &{} B \\ A &{} 0 \end{array} \right] \end{aligned}$$(3)
for \(j=1,2,...\), and they consist of those of A together with those of B.
Some related inequalities with our study are summarized below where \(A,B,X,Y\in \mathbb {K} ( \mathbb {H} )\):
Bhatia and Kittaneh proved in [8] that if A is self-adjoint, \(B\ge 0\) and \(\ \pm A\le B,\) then
for \(j=1,2,...\)
Audeh and Kittaneh obtained in [6] an equivalent inequality of (4):
If \(\left[ \begin{array}{cc} A &{} B \\ B^{*} &{} C \end{array} \right] \ge 0,\) then
for \(\ j=1,2,...\)
Bhatia and Kittaneh in [9] obtained the arithmetic-geometric mean inequality of singular values,
for \(\ j=1,2,...\) Zhan proved in [12] that if \(A,B\ge 0\), then
for \(\ j=1,2,...\) Hirzallah in [11] generalized inequality (6):
for \(j=1,2,...\) Audeh in [4] gave another generalization of inequality (6):
for \(j=1,2,...\) Moreover, it has been shown in the same paper that if \(X_{i},Y_{i}\ge 0\), \(i=1,2,...,n\). Then
for \(j=1,2,...,\) where \(W=\left[ \begin{array}{cccc} A_{1}X_{1}^{1/2} &{} A_{2}X_{2}^{1/2} &{} ... &{} A_{n}X_{n}^{1/2} \\ B_{1}Y_{1}^{1/2} &{} B_{2}Y_{2}^{1/2} &{} ... &{} B_{n}Y_{n}^{1/2} \end{array} \right]\). Several results are demonstrated as special cases for this inequality, some of these results are summarized below:
(i) Let \(X,Y\ge 0\). Then
for \(j=1,2,...\) In particular, replacing Y by X in inequality (11), leads to the following inequality:
for \(j=1,2,...\)
(ii) Let \(A,B,X\ge 0\). Then
for \(j=1,2,...\), where \(P=X^{1/2}AX^{1/2}\), \(Q=X^{1/2}A^{1/2}B^{1/2}X^{1/2}\) , and \(R=X^{1/2}BX^{1/2}\). Let \(X=I\), we have
for \(j=1,2,...\)
(iii) Let \(X_{1},X_{2},Y_{1},Y_{2}\ge 0\). Then
for \(j=1,2,...\),where \(E=AX_{1}^{1/2}Y_{1}^{1/2}A^{*}\), \(F=BX_{2}^{1/2}Y_{2}^{1/2}B^{*}\), \(H=X_{1}^{1/2}A^{*}AX_{1}^{1/2}+Y_{1}^{1/2}A^{*}AY_{1}^{1/2}\), \(L=X_{1}^{1/2}A^{*}BX_{2}^{1/2}-Y_{1}^{1/2}A^{*}BY_{2}^{1/2}\), and \(K=X_{2}^{1/2}B^{*}BX_{2}^{1/2}+Y_{2}^{1/2}B^{*}BY_{2}^{1/2}\). For recent studies about generalizations and applications for singular value inequalities, we refer the reader to [1,2,3,4,5,6].
In Sect. 2, we provide generalizations of the inequalities (6)–(15).
2 Singular value inequalities for compact operators
The following lemma is well-known.
Lemma 2.1
Let A be self-adjoint. Then
We are ready to state the first main result in this section.
Theorem 2.2
Let\(\ A_{1},A_{2},B_{1},B_{2},X_{1},X_{2},Y_{1},Y_{2}\in \mathbb {K} ( \mathbb {H} )\). Then
for \(j=1,2,...\) where
and
Proof
In what follows in this proof, let
and
Let \(S=\left[ \begin{array}{cc} X_{1}A_{1} &{} 0 \\ Y_{1}B_{1} &{} 0 \end{array} \right]\) and \(T=\left[ \begin{array}{cc} X_{2}B_{2} &{} 0 \\ Y_{2}B_{2} &{} 0 \end{array} \right]\). Note that
and
where
and
Apply inequality (6) for the operator matrices S and T, we get
Thus inequality (17) has thus been substantiated. \(\square\)
In the following, we will see some special cases of inequality (17).
Remark 2.3
Letting \(X_{1}=X_{2}=I\), \(B_{1}=B_{2}=Y_{1}=Y_{2}=0\) in inequality (17), we give inequality (6).
Remark 2.4
Letting \(A_{1}=A_{2}=A^{1/2}\), \(B_{1}=-B_{2}=B^{1/2}\), \(X_{1}=X_{2}=Y_{1}=Y_{2}=I\) in inequality (17), implies inequality (7).
Remark 2.5
Letting \(B_{1}=B_{2}=Y_{1}=Y_{2}=0\) in inequality (17), leads to inequality (9).
Remark 2.6
Letting \(A_{1}=A_{2}=A^{1/2}\), \(B_{1}=B_{2}=B^{1/2}\), and \(X_{1}=X_{2}=Y_{1}=Y_{2}=I\) in inequality (17), one can get inequality (14).
In the following, we will present special case of inequality (17) which in turns a generalization of several known results.
Corollary 2.7
Let\(\ A_{1},A_{2},B_{1},B_{2},X\in \mathbb {K} ( \mathbb {H} )\) such that \(X\ge 0\). Then
for \(j=1,2,...\) where
and
Proof
Letting \(X_{1}=X_{2}=Y_{1}=Y_{2}=X^{1/2}\) in inequality (17), we give inequality (18). \(\square\)
Example
Let \(A_{1}=B_{1}=\left[ \begin{array}{cc} i &{} 0 \\ 0 &{} i \end{array} \right]\), \(A_{2}=B_{2}=\left[ \begin{array}{cc} 1 &{} 0 \\ 0 &{} -1 \end{array} \right]\), and \(X=\left[ \begin{array}{cc} 4 &{} 0 \\ 0 &{} 1 \end{array} \right]\). Then \(2s_{j}(A_{1}^{*}XA_{2}+B_{1}^{*}XB_{2})=16,4,0,0\) for \(j=1,2,3,4,\) and \(s_{j}\left( \left( L+\left| N\right| \right) \oplus \left( M+\left| N^{*}\right| \right) \right) =16,16,4,4\) for \(j=1,2,3,4.\)
For \(A,B,X\in \mathbb {B} ( \mathbb {H} )\), an operator of the form \(AX-XA\) is called a commutator and an operator of the form \(AX+XA\) is called anticommutator. Now we are ready to state the following generalization of singular value inequality for anticommutators.
Corollary 2.8
Let\(\ A,B,X\in \mathbb {K} ( \mathbb {H} )\) such that \(X\ge 0\). Then
for \(j=1,2,...\) where
and
Proof
Let \(A_{1}^{*}=B_{2}=A\) and \(A_{2}=B_{1}^{*}=B\) in inequality (18), we give inequality (19). \(\square\)
Example
Let \(A=\left[ \begin{array}{cc} 0 &{} i \\ i &{} 0 \end{array} \right] ,\) \(B=\left[ \begin{array}{cc} 0 &{} 2i \\ i &{} 0 \end{array} \right] ,\) and \(X=\left[ \begin{array}{cc} 1 &{} 0 \\ 0 &{} 4 \end{array} \right]\). Then \(2s_{j}(AXB+BXA)=24,6,0,0\) for \(j=1,2,3,4,\) and \(s_{j}\left( \left( L+\left| N\right| \right) \oplus \left( M+\left| N^{*}\right| \right) \right) =32,20,8,5\) for \(j=1,2,3,4.\)
A remarkable inequality for singular value inequalities of anticommutators is now ready to present.
Corollary 2.9
Let\(\ A,B\in \mathbb {K} ( \mathbb {H} )\). Then
for \(j=1,2,...\) where
and
Proof
Letting \(X=I\) in inequality (19), we give inequality (20 ). \(\square\)
Corollary 2.10
Let\(\ A_{1},A_{2},B_{1},B_{2},X_{1},X_{2},Y_{1},Y_{2}\in \mathbb {K} ( \mathbb {H} )\). Then
for \(j=1,2,...\) where
and
Proof
Substituting \(B_{2}\) by \(-B_{2}\) in inequality (17), we give inequality (21). \(\square\)
We will present the following inequality which extends singular value inequality of commutators.
Corollary 2.11
Let\(\ A_{1},A_{2},B_{1},B_{2}\in \mathbb {K} ( \mathbb {H} )\). Then
for \(j=1,2,...\) where
and
Proof
Letting \(X_{1}=X_{2}=Y_{1}=Y_{2}=I\) in inequality (21), we give inequality (22). \(\square\)
Now we state the singular value inequality of commutators.
Corollary 2.12
Let\(\ A,B\in \mathbb {K} ( \mathbb {H} )\). Then
for \(j=1,2,...\) where
and
Proof
Letting \(A_{1}^{*}=B_{2}=A\) and \(A_{2}=B_{1}^{*}=B\) in inequality (22), we give inequality (23). \(\square\)
We are ready to state the second general result of this section.
Theorem 2.13
Let \(A_{i},B_{i},X_{i},Y_{i}\in \mathbb {K} ( \mathbb {H} )\), \(i=1,2,3,4\). Then
where
and
for \(j=1,2,...\)
Proof
On \(\oplus _{j=1}^{2}H\), let \(C_{1}=\left[ \begin{array}{cc} A_{1} &{} 0 \\ A_{2} &{} 0 \end{array} \right]\), \(C_{2}=\left[ \begin{array}{cc} A_{3} &{} 0 \\ A_{4} &{} 0 \end{array} \right]\), \(D_{1}=\left[ \begin{array}{cc} B_{1} &{} 0 \\ B_{2} &{} 0 \end{array} \right] ,\) \(D_{2}=\left[ \begin{array}{cc} B_{3} &{} 0 \\ B_{4} &{} 0 \end{array} \right]\), \(S_{1}=\left[ \begin{array}{cc} X_{1} &{} 0 \\ 0 &{} X_{2} \end{array} \right]\), \(S_{2}=\left[ \begin{array}{cc} X_{3} &{} 0 \\ 0 &{} X_{4} \end{array} \right]\), \(T_{1}=\left[ \begin{array}{cc} Y_{1} &{} 0 \\ 0 &{} Y_{2} \end{array} \right]\), and \(T_{2}=\left[ \begin{array}{cc} Y_{3} &{} 0 \\ 0 &{} Y_{4} \end{array} \right]\). It follows that \(C_{1}^{*}S_{1}^{*}S_{2}C_{2}+D_{1}^{*}T_{1}^{*}T_{2}D_{2}=K+L\), \(S_{1}C_{1}C_{1}^{*}S_{1}^{*}+S_{2}C_{2}C_{2}^{*}S_{2}^{*}=O\), \(T_{1}D_{1}D_{1}^{*}T_{1}^{*}+T_{2}D_{2}D_{2}^{*}T_{2}^{*}=V\) and \(T_{1}D_{1}C_{1}^{*}S_{1}^{*}+T_{2}D_{2}C_{2}^{*}S_{2}^{*}=T\) . Substitute the operators \(A_{1},A_{2},B_{1},B_{2},X_{1},X_{2},Y_{1}\) and \(Y_{2}\) by \(C_{1},C_{2},D_{1},D_{2},S_{1},S_{2},T_{1}\) and \(T_{2}\), respective‘ly, in inequality (17), we give inequality (24). \(\square\)
Inequality (24) is an extension of several known results, some of them are listed below.
Remark 2.14
Letting \(B_{i}=0\) for \(i=1,2,3,4\), \(X_{1}=X_{1}^{1/2}\), \(X_{2}=X_{2}^{1/2}\), \(X_{3}=Y_{1}^{1/2}\), \(X_{4}=Y_{2}^{1/2}\) in inequality (24), we give inequality (10) for \(n=2\).
Remark 2.15
Letting \(B_{i}=Y_{i}=0\) for \(i=1,2,3,4\), \(A_{1}=A_{4}=A\), \(A_{2}=A_{3}=B\), \(X_{1}=X_{2}=X^{1/2}\) and \(X_{3}=X_{4}=Y^{1/2\text { }}\)in inequality (24), one can get inequality (11).
Remark 2.16
Letting \(B_{i}=Y_{i}=0\) for \(i=1,2,3,4\), \(A_{1}=A_{4}=A\), \(A_{2}=A_{3}=B\), \(X_{1}=X_{2}=X_{3}=X_{4}=X^{1/2}\) in inequality (24), leads to inequality (12).
Remark 2.17
Letting \(B_{i}=Y_{i}=0\) and \(X_{i}=I\) for \(i=1,2,3,4\) in inequality (24), implies inequality (8).
Remark 2.18
Letting \(B_{i}=Y_{i}=0\) for \(i=1,2,3,4\) and \(A_{i}=0\) for \(i=2,4\) in inequality (24), we have inequality (9).
Remark 2.19
Letting \(B_{i}=Y_{i}=0\) for \(i=1,2,3,4\), \(A_{i}=0\) for \(i=2,4\), and \(X_{1}=X_{3}=I\) in inequality (24), we get inequality (6).
We will give a special case of inequality (24) which is a generalization of inequality (13).
Corollary 2.20
Let \(A,B,X,Y\in \mathbb {K} ( \mathbb {H} )\ge 0\). Then
for \(j=1,2,...\) where \(P=X^{1/2}AX^{1/2}\), \(Q=X^{1/2}A^{1/2}B^{1/2}Y^{1/2}\) and \(R=Y^{1/2}BY^{1/2}\). In particular, letting \(Y=X\) in inequality (25), we give
for \(j=1,2,...\), where \(P=X^{1/2}AX^{1/2}\), \(T=X^{1/2}A^{1/2}B^{1/2}X^{1/2}\) and \(S=X^{1/2}BX^{1/2}\). Moreover, letting \(X=I\) in inequality (13), we give inequality (14).
Proof
Letting \(B_{i}=Y_{i}=0\) for \(i=1,2,3,4\), \(A_{1}=A_{3}=A^{1/2},\) \(A_{2}=A_{4}=B^{1/2},\) \(X_{1}=X_{3}=X^{1/2}\) and \(X_{2}=X_{4}=Y^{1/2}\) in inequality (24), leads to
But
combining this with inequality (26), one can get
\(\square\)
In the following, we will give another special case of inequality (24) which has been proved in [13].
Corollary 2.21
Let \(A,B,X_{1},X_{2},Y_{1},Y_{2}\in \mathbb {K} ( \mathbb {H} )\) such that\(\ X_{1},X_{2},Y_{1},Y_{2}\ge 0\). Then
for \(j=1,2,...\), where \(E=AX_{1}^{1/2}Y_{1}^{1/2}A^{*}\), \(F=BX_{2}^{1/2}Y_{2}^{1/2}B^{*}\), \(H=X_{1}^{1/2}A^{*}AX_{1}^{1/2}+Y_{1}^{1/2}A^{*}AY_{1}^{1/2}\), \(L=X_{1}^{1/2}A^{*}BX_{2}^{1/2}-Y_{1}^{1/2}A^{*}BY_{2}^{1/2}\) and \(K=X_{2}^{1/2}B^{*}BX_{2}^{1/2}+Y_{2}^{1/2}B^{*}BY_{2}^{1/2}\).
Proof
Letting \(B_{i}=Y_{i}=0\) for \(i=1,2,3,4\), \(A_{1}=A_{3}=A^{*}\), \(A_{2}=-A_{4}=B^{*}\), \(X_{1}=X_{1}^{1/2}\), \(X_{2}=X_{2}^{1/2}\), \(X_{3}=Y_{1}^{1/2}\) and \(X_{4}=Y_{2}^{1/2}\) in inequality (24), we give
which is exactly inequality (15). \(\square\)
3 Singular value inequalities for matrices
Let \(\mathbb {M} _{n}\) be the space of all \(n\times n\) complex matrices In this section, attractive generalizations of inequalities (6) and (7) for matrices are proved.
Bhatia and Kittaneh in [8] proved that if \(A,B\in \mathbb {M} _{n}\) and \(Q=AA^{*}+BB^{*}\), then
for\(\ j=1,2,...,n\). Among our results in this section, we obtained an inequality that is sharper than inequality (28).
Recently in [13] a new generalization of inequality (6) has been given: If \(A,B,X\in \mathbb {M} _{n}\) such that \(X\ge 0\), then
for \(j=1,2,...,n\). In this section, we have established singular value inequality that is equivalent to inequality (29). Several relevant singular value inequalities are also given.
We start this section with the following lemmas.
Lemma 3.1
Let A be self-adjoint matrix. Then
Lemma 3.2
Let \(A,B,X\in \mathbb {M} _{n}\) such that \(X\ge 0\). Then
for \(j=1,2,...,n\).
Proof
Inequality (31) is a direct consequence of inequality (6) by substituting \(A=AX^{1/2}\) and \(B=BX^{1/2}\). \(\square\)
Corollary 3.3
Let\(\ A,B,X\ge 0\). Then
for \(j=1,2,...,n\).
Proof
Inequality (32) is followed from Lemma 3.2 by substituting \(A=A^{1/2}\) and \(B=B^{1/2}.\) \(\square\)
Now, we can present the first result of this section, which is an impressive generalization of arithmetic–geometric mean inequality.
Theorem 3.4
Let \(A_{i},B_{i},X_{i}\in \mathbb {M} _{n}\) such that \(X_{i}\ge 0\) for \(i=1,2,...,n\),
and
then
for \(j=1,2,...,n\).
Proof
Replace \(A=\left[ \begin{array}{cccc} A_{1} &{} A_{2} &{} \ldots &{} A_{n} \\ 0 &{} 0 &{} \cdots &{} 0 \\ \vdots &{} \vdots &{} \ddots &{} \vdots \\ 0 &{} 0 &{} \cdots &{} 0 \end{array} \right] ,\) \(B=\left[ \begin{array}{cccc} B_{1} &{} B_{2} &{} \ldots &{} B_{n} \\ 0 &{} 0 &{} \cdots &{} 0 \\ \vdots &{} \vdots &{} \ddots &{} \vdots \\ 0 &{} 0 &{} \cdots &{} 0 \end{array} \right]\) and \(X=\left[ \begin{array}{cccc} X_{1} &{} 0 &{} \ldots &{} 0 \\ 0 &{} X_{2} &{} \cdots &{} 0 \\ \vdots &{} \vdots &{} \ddots &{} \vdots \\ 0 &{} 0 &{} \cdots &{} X_{n} \end{array} \right]\) in inequality (29), we get inequality (33). \(\square\)
Remark 3.5
Substituting \(A_{i}=B_{i}=X_{i}=0\) for \(i=2,3,...,n\) in inequality (33), leads to inequality (29), the way to show that inequalities (29) and (33) are equivalent.
Corollary 3.6
Let \(A_{i},B_{i},X_{i}\in \mathbb {M} _{n}\) such that \(X_{i}\ge 0\) for \(i=1,2\),
and
Then
for \(j=1,2,...,n\).
Proof
Specifies inequality (33) to \(n=2\), we give inequality (34). \(\square\)
Remark 3.7
Substituting \(X_{1}=X_{2}=I\) in inequality (34), we give inequality (8).
Depending on inequality (33), we now present our next inequality.
Corollary 3.8
Let \(A,B,X_{1},X_{2}\) \(\in \mathbb {M} _{n}\) such that \(X_{1},X_{2}\ge 0\), where
Then
for \(j=1,2,...,n\).
Proof
Inequality (35) follows by substituting \(n=2,\) \(A_{1}=B_{2}=A\) and \(A_{2}=B_{1}=B\) in inequality (33). \(\square\)
Depending on inequality (35), we now present our next result, which is a refinement of inequality (28).
Corollary 3.9
Let \(A,B\in \mathbb {M} _{n}\), \(Q_{1}=AA^{*}+BB^{*}+AB^{*}+BA^{*}\), \(Q_{2}=AA^{*}+BB^{*}-AB^{*}-BA^{*}.\) Then
for \(j=1,2,...n\).
Proof
Substituting \(X=I\) in inequality (35), we give
which is precisely inequality (36). \(\square\)
Remark 3.10
In view of the fact that \(\pm \left( AB^{*}+BA^{*}\right) \le AA^{*}+BB^{*}\) and Weyl’s monotonicity principle, one can see that inequality (36) is sharper than inequality (28).
Depending on inequality (35), we now present our next result, which is another refinement of inequality (28).
Corollary 3.11
Let \(A,B\in \mathbb {M} _{n},\) \(Q=A^{*}A+B^{*}B+\left| A^{*}B+B^{*}A\right|\). Then
for \(j=1,2,...n\).
Proof
Throughout this proof let \(T=\left[ \begin{array}{cc} A^{*}A+B^{*}B &{} 0 \\ 0 &{} A^{*}A+B^{*}B \end{array} \right]\), \(Z=\left[ \begin{array}{cc} 0 &{} A^{*}B+B^{*}A \\ B^{*}A+A^{*}B &{} 0 \end{array} \right]\). Substituting \(X=I\) in inequality (35), we give
which is precisely inequality (37). \(\square\)
Remark 3.12
By the fact that \(\left| A^{*}B+B^{*}A\right| \le A^{*}A+B^{*}B\) and by applying Weyl’s monotonicity principle, one can see that inequality (37) is sharper than inequality (28).
The following result is an application of inequality (33).
Corollary 3.13
Let A, B, \(X_{1},X_{2}\in \mathbb {M} _{n}\ge 0\). Then
for \(j=1,2,...,n\) where
Proof
Substituting \(n=2,\) \(A_{1}=B_{1}=A^{1/2},\) \(A_{2}=B_{2}=B^{1/2}\) in inequality (33), leads to
which implies that
as required. \(\square\)
Corollary 3.14
Let A, B, \(X_{1},X_{2}\in \mathbb {M} _{n}\ge 0\), where
Then
for \(j=1,2,...n\).
Proof
Spreading inequality (38), leads to
which is precisely inequality (39). \(\square\)
Remark 3.15
Substituting \(X_{1}=X_{2}=I\) in inequality (39), we give the following result which was proved in [5].
for \(j=1,2,...n\).
The following inequality is a generalization of inequality (7).
Corollary 3.16
Let A, B, \(X_{1},\) \(X_{2}\in \mathbb {M} _{n}\) such that \(X_{1},X_{2}\ge 0\). Then
for \(j=1,2,...,n\). If \(A=B=I,\) we obtain inequality (7), and if \(X_{1}=X_{2}=I,\) then
for \(j=1,2,...,n\).
Proof
Substituting \(n=2,\) \(A_{1}=B_{1}=A,\) \(A_{2}=-B_{2}=B,\) in inequality (33), where \(Z=\left[ \begin{array}{cc} A^{*}A &{} 0 \\ 0 &{} B^{*}B \end{array} \right]\) and \(X=\left[ \begin{array}{cc} X_{1} &{} 0 \\ 0 &{} X_{2} \end{array} \right]\), leads to
which is inequality (40). \(\square\)
By making use of inequality (40) incites, we here by present the following theorem which has been proven in completely different technique in [13].
Theorem 3.17
Let \(A,B,X\in \mathbb {M} _{n}\) such that \(X\ge 0\). Then
for \(j=1,2,...,n\).
Proof
Let \(C=\left[ \begin{array}{c} A \\ B \end{array} \right] ,\) \(D=\left[ \begin{array}{c} A \\ -B \end{array} \right] ,\) \(X_{1}=X_{2}=X\) , and \(W=X^{1/2}(A^{*}A+B^{*}B)X^{1/2}\). Then
and
Now, applying inequality (40), leads to
This gives
\(2s_{j}(AXB^{*})\le s_{j}\left( X^{1/2}(A^{*}A+B^{*}B)X^{1/2}\right)\) for \(j=1,2,...,n\). as required. \(\square\)
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Acknowledgements
The author is grateful to anonymous referees for their careful reading of the paper and for their valuable comments and suggestions. The author is indebted to University of Petra for its support.
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Communicated by Qing-Wen Wang .
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Audeh, W. Singular value inequalities for operators and matrices. Ann. Funct. Anal. 13, 24 (2022). https://doi.org/10.1007/s43034-022-00170-z
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DOI: https://doi.org/10.1007/s43034-022-00170-z