In this paper, we first give an alternative proof for a result of Liu et al. in [Math. Inequal. Appl. 20 (2017) 537–542]. Then we present two inequalities for the block Hadamard product and the Khatri-Rao product respectively. The inequalities obtained extend the result of Liu et al.
Citation: Sheng Dong, Qingwen Wang, Lei Hou. Determinantal inequalities for block Hadamard product and Khatri-Rao product of positive definite matrices[J]. AIMS Mathematics, 2022, 7(6): 9648-9655. doi: 10.3934/math.2022536
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In this paper, we first give an alternative proof for a result of Liu et al. in [Math. Inequal. Appl. 20 (2017) 537–542]. Then we present two inequalities for the block Hadamard product and the Khatri-Rao product respectively. The inequalities obtained extend the result of Liu et al.
Let Mn be the set of n×n complex matrices. If X is positive semidefinite, we put X≥0. For two Hermitian matrices X,Y∈Mn,X≥Y means X−Y is positive semidefinite. If X is positive definite, we put X>0.
The Hadamard product of A,B∈Mn is denoted by A∘B, and the Hadamard product of A1,…,Am∈Mn is denoted by ∏mi=1∘Ai. The Kronecker product of A and B is denoted by A⊗B=(aijB). If A=(A11A12A21A22)∈Mn with A11 nonsingular, then the Schur complement of A11 in A is defined as A/A11=A22−A21A−111A12. A well known property of the Schur complement is
detA=detA11det(A/A11). | (1.1) |
The set of all complex matrices partitioned as p×p blocks with each block q×q is denoted by Mp(Mq). Let A=(Aij),B=(Bij)∈Mp(Mq). The block Hadamard product of A and B is given by A◻B:=(AijBij), where AijBij denotes the usual matrix product of Aij and Bij. If every block of A commutes with corresponding block of B, we say that A,B block commute. The Khatri-Rao product of A and B is given by A∗B:=(Aij⊗Bij). We denote by Ip∈Mp(Mq) the pq×pq identity matrix, which is partitioned according to the block structure of the matrices of Mp(Mq). Clearly, when q=1, that is, A and B are p×p matrices with complex entries, the block Hadamard product and the Khatri-Rao product coincide with the Hadamard product. These matrix products have been used in many fields, such as matrix analysis, statistical analysis, communication and information theory, etc. For more information, we refer to [3,4,5,6,9,10].
Let Ai∈Mn,i=1,…,m, be positive definite matrices whose diagonal blocks are nj-square matrices A(j)i,j=1,…,k (so n1+⋯+nk=n). Denote ∑mi=1 or ∏mi=1∘ by ⋆, then
det(⋆Ai)≤det(⋆(A(1)i))⋯det(⋆(A(k)i)) |
follows directly from Fischer's inequality [2,p. 506].
By making use of a result of Lin [7], Choi [1] proved the following inquality,
det(m∑i=1A−1i)≥det(m∑i=1(A(1)i)−1)⋯det(m∑i=1(A(k)i)−1). | (1.2) |
Later, Liu et al. [8] gave a new proof of Choi's inequality(1.2), and they also obtained the following theorem.
Theorem 1. Let Ai∈Mn,i=1,…,m, be positive definite whose diagonal blocks are nj-square matrices A(j)i for j=1,…,k (so n1+⋯+nk=n). Then
det(m∏i=1∘A−1i)≥det(m∏i=1∘(A(1)i)−1)⋯det(m∏i=1∘(A(k)i)−1). |
In this paper, we give an alternative proof of Theorem 1, this is done in Section 2. In Section 3, we present the following inequality for the block Hadamard product. Clearly, when q=1, Theorem 2 reduces to Theorem 1.
Theorem 2. Let Ai∈Mp(Mq), i=1,…,m, partition Ai with diagonal blocks A(j)i∈Mpj(Mq), j=1,…,t (so p1+⋯+pt=p). If Ai,i=1,…,m, are positive definite and block commute, then
det(m∏i=1◻A−1i)≥det(m∏i=1◻(A(1)i)−1)⋯det(m∏i=1◻(A(t)i)−1). |
The result for the Khatri-Rao product is given in Section 4.
We list some lemmas which are important for our proof.
Lemma 1. [2,Corollary 7.7.4] If A,B∈Mn such that A≥B>0, then detA≥detB.
Lemma 2. [2,Theorem 7.5.3] Let A,B∈Mn be positive semidefinite. Then A∘B≥0.
Lemma 3. [11,Theorem 7.13] Let A∈Mn be positive definite. Partition A as A=(A11A12A21A22) with A11 square. Let A−1 be conformally partitioned as A, then
(1)(Aii)−1≤(A−1)ii,i=1,2;
(2)A−1/(A−1)11=(A22)−1.
Lemma 4. [2,p.504] Let A,B∈Mn be positive definite. Partition A,B as A=(A11A12A21A22), B=(B11B12B21B22) with A11,B11∈Mk, 1≤k<n, then
(A∘B)/(A11∘B11)≥(A/A11)∘(B/B11). |
By Lemma 4 and induction, we have
Lemma 5. Let Ai∈Mn,i=1,…,m, be positive definite and conformally partitioned, and A(1)i be the (1,1) block of Ai. Then
(m∏i=1∘Ai)/(m∏i=1∘A(1)i)≥m∏i=1∘(Ai/A(1)i). |
Now we are ready to present.
Proof of Theorem 1. For all i=1,…,m, as Ai are positive definite, A−1i are all positive definite. Partition A−1i as Ai for i=1,…,m, the diagonal blocks of A−1i are nj-square matrices (A−1i)(j) for j=1,…,p. Using mathematical induction on k, we may assume k=2. By Lemma 5 and Lemma 1, we get
det((m∏i=1∘A−1i)/(m∏i=1∘(A−1i)(1)))≥det(m∏i=1∘(A−1i/(A−1i)(1))). | (2.1) |
Then we have
det(m∏i=1∘A−1i)=det(m∏i=1∘(A−1i)(1))det((m∏i=1∘A−1i)/(m∏i=1∘(A−1i)(1)))≥det(m∏i=1∘(A−1i)(1))det(m∏i=1∘(A−1i/(A−1i)(1)))≥det(m∏i=1∘(A(1)i)−1)det(m∏i=1∘(A−1i/(A−1i)(1)))=det(m∏i=1∘(A(1)i)−1)det(m∏i=1∘(A(2)i)−1). |
where the first equality above is by (1.1); the first inequality is by (2.1); the second inequality is by Lemma 3(1); the last equality is due to Lemma 3(2).
In order to prove Theorem 2, we need to show the following lemmas.
Lemma 6. [4,Corollary 3.3] Let A,B∈Mp(Mq). If A,B are positive semidefinite andblock commute, then A◻B≥0.
Lemma 7. [4,Lemma 2.4] Let A,B∈Mp(Mq). If B is invertible, then A,B block commute if and only if A,B−1 block commute.
Lemma 8. Let A=(A11A12A∗12A22),B=(B11B12B∗12B22)∈Mp(Mq) with A11,B11∈Mh(Mq),h<p. If A,B are positive definite and block commute, then
(A◻B)/(A11◻B11)≥(A/A11)◻(B/B11). |
Proof. Let
E=(A11A12A∗12A∗12A−111A12), |
and
F=(B11B12B∗12B∗12B−111B12). |
Then E and F are positive semidefinite and block commute.
By Lemma 6, we get that
E◻F=(A11◻B11A12◻B12A∗12◻B∗12(A∗12A−111A12)◻(B∗12B−111B12)) |
is positive semidefinite, thus
(A∗12A−111A12)◻(B∗12B−111B12)≥(A∗12◻B∗12)(A11◻B11)−1(A12◻B12), |
that is
(A22−A/A11)◻(B22−B/B11)≥A22◻B22−(A◻B)/(A11◻B11), |
which implies
(A◻B)/(A11◻B11)≥A22◻(B/B11)+(A/A11)◻B22−(A/A11)◻(B/B11). |
It follows from
A22≥A/A11,B22≥B/B11, |
that
(A◻B)/(A11◻B11)≥A22◻(B/B11)≥(A/A11)◻(B/B11). |
This completes the proof.
Lemma 9. Let Ai=((Ai)11(Ai)12(Ai)∗12(Ai)22)∈Mp(Mq) with (Ai)11∈Mh(Mq),h<p,i=1,…,m. If Ai,i=1,…,m, are positive definite and block commute, then
det(m∏i=1◻Ai)≥det(m∏i=1◻(Ai)11)det(m∏i=1◻(Ai/(Ai)11)). |
Proof. By Lemma 8 and induction, we can get
(m∏i=1◻Ai)/(m∏i=1◻(Ai)11)≥m∏i=1◻(Ai/(Ai)11). |
Then
det(m∏i=1◻Ai)=det(m∏i=1◻(Ai)11)det((m∏i=1◻Ai)/(m∏i=1◻(Ai)11))≥det(m∏i=1◻(Ai)11)det(m∏i=1◻(Ai/(Ai)11)). |
Now we give the proof of Theorem 2.
Proof of Theorem 2. For all i=1,…,m, as Ai are positive definite, A−1i are all positive definite. Partition A−1i as Ai for i=1,…,m, then the diagonal blocks of (A−1i)(j)∈Mpj(Mq) for j=1,…,t. By Lemma 7, we get that A−1i, i=1,…,m, block commute. Using mathematical induction on t, we may assume t=2. By Lemma 9, we get
det(m∏i=1◻A−1i)≥det(m∏i=1◻(A−1i)(1))det(m∏i=1◻(A−1i/(A−1i)(1))). |
By Lemma 3, we have
det(m∏i=1◻A−1i)≥det(m∏i=1◻(A(1)i)−1)det(m∏i=1◻(A−1i/(A−1i)(1)))=det(m∏i=1◻(A(1)i)−1)det(m∏i=1◻(A(2)i)−1). |
This completes the proof.
Corollary 1. Let A∈Mp(Mq) be positive definite, partition A with diagonal blocks A(j)∈Mpj(Mq), j=1,…,t (so p1+⋯+pt=p). Then
det(A−1◻Ip)≥det((A(1))−1◻Ip1)⋯det((A(t))−1◻Ipt). |
Corollary 2. Let A∈Mp(Mq) be positive definite, partition A with diagonal blocks A(j)∈Mpj(Mq), j=1,…,t (so p1+⋯+pt=p). Let B(j)∈Mpj(Mq), j=1,…,t, be positive semidefinite, B=diag(B(1),…,B(t)), A and B block commute. Then
det(A−1◻B)≥det((A(1))−1◻B(1))⋯det((A(t))−1◻B(t)). | (3.1) |
Proof. Assume that B is nonsingular, that is, B(j) are all invertible for j=1,…,t. Then, (3.1) follows by Lemma 7 and Theorem 2. By a standard continuity argument, the statement is also true if B is singular.
When t=p in Theorem 2, we get the following.
Corollary 3. Let Ai∈Mp(Mq),i=1,…,m, with diagonal blocks q-square matrices A(j)i, j=1,…,p. If Ai,i=1,…,m, are positive definite and block commute, then
det(m∏i=1◻A−1i)≥det(m∏i=1(A(1)i)−1)⋯det(m∏i=1(A(p)i)−1). |
The following lemmas will be used in the main result of this section.
Lemma 10. [9,Theorem 5] Let A≥B≥0,C≥D≥0, and A,B,C and D be compatibly partitioned matrices. Then
A∗C≥B∗D≥0. |
Lemma 11. [5,Lemma 3.3] Let A=(A11A12A∗12A22),B=(B11B12B∗12B22)∈Mp(Mq) with A11,B11∈Mh(Mq),h<p. If A,B are positive definite, then
(A∗B)/(A11∗B11)≥(A/A11)∗(B/B11). |
By Lemma 11 and induction, we have
Lemma 12. Let Ai=((Ai)11(Ai)12(Ai)∗12(Ai)22)∈Mp(Mq) with (Ai)11∈Mh(Mq),h<p,i=1,…,m. If Ai,i=1,…,m, are positive definite, then
det(∏mi=1∗Ai)≥det(∏mi=1∗(Ai)11)det(∏mi=1∗(Ai/(Ai)11)). |
Now, we give the result for the Khatri-Rao product. Clearly, when q=1, Theorem 3 reduces to Theorem 1.
Theorem 3. Let Ai∈Mp(Mq), i=1,…,m, partition Ai with diagonal blocks A(j)i∈Mpj(Mq), j=1,…,t (so p1+⋯+pt=p). If Ai, i=1,…,m, are positive definite, then
det(m∏i=1∗A−1i)≥det(m∏i=1∗(A(1)i)−1)⋯det(m∏i=1∗(A(t)i)−1). |
Proof. This follows analogous steps to the proof of Theorem 2.
Corollary 4. Let A∈Mp(Mq) be positive definite, partition A with diagonal blocks A(j)∈Mpj(Mq), j=1,…,t (so p1+⋯+pt=p). Then
det(A−1∗Ip)≥det((A(1))−1∗Ip1)⋯det((A(t))−1∗Ipt), |
and
det(Ip∗A−1)≥det(Ip1∗(A(1))−1)⋯det(Ipt∗(A(t))−1). |
Corollary 5. Let A∈Mp(Mq) be positive definite, partition A with diagonal blocks A(j)∈Mpj(Mq), j=1,…,t (so p1+⋯+pt=p). Let B(j)∈Mpj(Mq), j=1,…,t, be positive semidefinite, B=diag(B(1),…,B(t)). Then
det(A−1∗B)≥det((A(1))−1∗B(1))⋯det((A(t))−1∗B(t)), |
and
det(B∗A−1)≥det((B(1)∗A(1))−1)⋯det(B(t)∗(A(t))−1). |
When t=p in Theorem 3, we get the following.
Corollary 6. Let Ai∈Mp(Mq),i=1,…,m, with diagonal blocks q-square matrices A(j)i, j=1,…,p. If Ai,i=1,…,m, are positive definite, then
det(m∏i=1∗A−1i)≥det(m∏i=1⊗(A(1)i)−1)⋯det(m∏i=1⊗(A(p)i)−1). |
The work was supported by National Natural Science Foundation of China (NNSFC) [Grant Number 11971294].
We declare no conflict of interest.
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