Abstract
In this paper, we obtain some improved reverses of Young type inequalities which were established by Burqan and Khandaqji (J. Math. Inequal. 9:113-120, 2015).
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1 Introduction
Let \(M_{n} \) be the space of \(n\times n\) complex matrices. Let \(\Vert \cdot \Vert \) denote any unitarily invariant norm on \(M_{n} \). So, \(\Vert {UAV} \Vert =\Vert A \Vert \) for all \(A\in M_{n} \) and for all unitary matrices \(U,V\in M_{n} \). For \(A= [ {a_{ij} } ]\in M_{n} \), the Hilbert-Schmidt norm and the trace norm of A are defined by \(\Vert A \Vert _{2} =\sqrt{\sum_{j=1}^{n} {s_{j}^{2} ( A )} } \), \(\Vert A \Vert _{1} =\sum_{j=1}^{n} {s_{j} ( A )} \), respectively, where \(s_{i} ( A ) \) (\(i=1,\ldots,n\)) are the singular values of A with \(s_{1} ( A )\ge\cdots\ge s_{n} (A )\), which are the eigenvalues of the positive semidefinite matrix \(\vert A \vert = ( {AA^{\ast}} )^{\frac{1}{2}}\), arranged in decreasing order and repeated according to multiplicity.
The classical Young inequality says that if \(a,b\ge0\) and \(0\le v\le1\), then
with equality if and only if \(a=b\).
Kittaneh and Manasrah [1] obtained an improvement of inequality (1) which can be stated as follows:
where \(r_{0} =\min \{ {v,1-v} \}\).
Recently, Burqan and Khandaqji [2] gave the following reverses of the scalar Young type inequalities:
and
A matrix Young inequality, proved in [3], says that if \(A,B\in M_{n} \) are positive semidefinite, then
for \(j=1,\ldots,n\).
Based on the reverses of the scalar Young type inequalities (3) and (4), Burqan and Khandaqji proved the following in [2] if \(A,B,X\in M_{n}\) such that A and B are positive semidefinite. If \(0\le v\le\frac{1}{2}\), then
If \(\frac{1}{2}\le v\le1\), then
At the same time, Burqan and Khandaqji proved the following in [2] if \(A,B\in M_{n}\) such that A and B are positive semidefinite. If \(0\le v\le\frac{1}{2}\), then
If \(\frac{1}{2}\le v\le1\), then
For more information on matrix versions of the Young inequality (1) the reader is referred to [4–9].
The main purpose of this paper is to give improved reverses of Young type inequalities (3) and (4). Then we use these inequalities to establish corresponding inequalities for matrices. To achieve our goal we need the following reverses of Young type inequalities for scalars.
2 Reverses of Young type inequalities for scalars
We begin this section with the reverses of Young type inequalities for scalars.
Theorem 1
Let \(a,b\ge0\). If \(0\le v\le\frac{1}{2}\), then
where \(r_{0} =\min \{ {2v,1-2v} \}\).
If \(\frac{1}{2}\le v\le1\), then
where \(r_{0} =\min \{ {2v-1,2-2v} \}\).
Proof
If \(0\le v\le\frac{1}{2}\), then, by inequality (2), we have
and so
If \(\frac{1}{2}\le v\le1\), then
and so
This completes the proof. □
Remark 1
Obviously, (9) and (10) are improvement reverses of the scalar Young type inequalities (3) and (4).
3 Reverses of Young type inequalities for matrices
Based on the reverses of the scalar Young type inequalities (9) and (10), we obtain matrix versions of these inequalities.
Theorem 2
Let \(A,B,X\in M_{n} \) such that A and B are positive semidefinite. If \(0\le v\le\frac{1}{2}\), then
where \(r_{0} =\min \{ {2v,1-2v} \}\).
If \(\frac{1}{2}\le v\le1\), then
where \(r_{0} =\min \{ {2v-1,2-2v} \}\).
Proof
Since every positive semidefinite matrix is unitarily diagonalizable, it follows that there are unitary matrices \(U,V\in M_{n} \) such that \(A=UDU^{\ast}\) and \(B=VEV^{\ast}\), where
Let \(Y=U^{\ast}XV= [ {y_{ij} } ]\). Then
and
If \(0\le v\le\frac{1}{2}\), by inequality (9), we have
and so
If \(\frac{1}{2}\le v\le1\), then by inequality (10) and the same method above, we have inequality (12). This completes the proof. □
Remark 2
Obviously, (11) and (12) are improvement reverses of the matrix Young type inequalities (5) and (6).
In the end, we present two new inequalities, by means of inequalities (9) and (10). To do this, we need the following lemmas.
Lemma 1
(Cauchy-Schwarz inequality) [10]
Let \(a_{i} \ge0\), \(b_{i} \ge0\), for \(i=1,2,\ldots,n\), then
Lemma 2
[10]
Let \(A,B\in M_{n} \), then
Theorem 3
Let \(A,B\in M_{n} \) such that A and B are positive semidefinite. If \(0\le v\le\frac{1}{2}\), then
where \(r_{0} =\min \{ {2v,1-2v} \}\), \(M_{1} =r_{0} [ { ( {1-v} )\Vert {AB} \Vert _{1} +\Vert A \Vert _{2}^{2} -2\sqrt{1-v} \Vert {A^{\frac{3}{2}}} \Vert _{1} \Vert {B^{\frac{1}{2}}} \Vert _{1} } ]\).
If \(\frac{1}{2}\le v\le1\), then
where \(r_{0} =\min \{ {2v-1,2-2v} \}\), \(M_{2} =r_{0} [ {v\Vert {AB} \Vert _{1} +\Vert B \Vert _{2}^{2} -2\sqrt{v} \Vert {A^{\frac{1}{2}}} \Vert _{1} \Vert {B^{\frac{3}{2}}} \Vert _{1} } ]\).
Proof
If \(0\le v\le\frac{1}{2}\), then using Lemma 1, Lemma 2, and inequality (9), we have
Thus
If \(\frac{1}{2}\le v\le1\), then by inequality (10) and the same method above, we have inequality (14). This completes the proof. □
Remark 3
It should be noticed that neither (7) nor (13) is uniformly better than the other. At the same time, neither (8) nor (14) is uniformly better than the other.
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The authors wish to express their heartfelt thanks to the referees for their detailed and helpful suggestions for revising the manuscript.
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Hu, X., Xue, J. A note on reverses of Young type inequalities. J Inequal Appl 2015, 98 (2015). https://doi.org/10.1186/s13660-015-0622-7
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DOI: https://doi.org/10.1186/s13660-015-0622-7