Research article

Determinantal inequalities for block Hadamard product and Khatri-Rao product of positive definite matrices

  • Received: 26 December 2021 Revised: 23 February 2022 Accepted: 28 February 2022 Published: 15 March 2022
  • MSC : 15A45, 47A63

  • 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 X0. For two Hermitian matrices X,YMn,XY means XY is positive semidefinite. If X is positive definite, we put X>0.

    The Hadamard product of A,BMn is denoted by AB, and the Hadamard product of A1,,AmMn is denoted by mi=1Ai. The Kronecker product of A and B is denoted by AB=(aijB). If A=(A11A12A21A22)Mn with A11 nonsingular, then the Schur complement of A11 in A is defined as A/A11=A22A21A111A12. 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 AB:=(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 AB:=(AijBij). We denote by IpMp(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 AiMn,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(mi=1A1i)det(mi=1(A(1)i)1)det(mi=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 AiMn,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(mi=1A1i)det(mi=1(A(1)i)1)det(mi=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 AiMp(Mq), i=1,,m, partition Ai with diagonal blocks A(j)iMpj(Mq), j=1,,t (so p1++pt=p). If Ai,i=1,,m, are positive definite and block commute, then

    det(mi=1A1i)det(mi=1(A(1)i)1)det(mi=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,BMn such that AB>0, then detAdetB.

    Lemma 2. [2,Theorem 7.5.3] Let A,BMn be positive semidefinite. Then AB0.

    Lemma 3. [11,Theorem 7.13] Let AMn be positive definite. Partition A as A=(A11A12A21A22) with A11 square. Let A1 be conformally partitioned as A, then

    (1)(Aii)1(A1)ii,i=1,2;

    (2)A1/(A1)11=(A22)1.

    Lemma 4. [2,p.504] Let A,BMn be positive definite. Partition A,B as A=(A11A12A21A22), B=(B11B12B21B22) with A11,B11Mk, 1k<n, then

    (AB)/(A11B11)(A/A11)(B/B11).

    By Lemma 4 and induction, we have

    Lemma 5. Let AiMn,i=1,,m, be positive definite and conformally partitioned, and A(1)i be the (1,1) block of Ai. Then

    (mi=1Ai)/(mi=1A(1)i)mi=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, A1i are all positive definite. Partition A1i as Ai for i=1,,m, the diagonal blocks of A1i are nj-square matrices (A1i)(j) for j=1,,p. Using mathematical induction on k, we may assume k=2. By Lemma 5 and Lemma 1, we get

    det((mi=1A1i)/(mi=1(A1i)(1)))det(mi=1(A1i/(A1i)(1))). (2.1)

    Then we have

    det(mi=1A1i)=det(mi=1(A1i)(1))det((mi=1A1i)/(mi=1(A1i)(1)))det(mi=1(A1i)(1))det(mi=1(A1i/(A1i)(1)))det(mi=1(A(1)i)1)det(mi=1(A1i/(A1i)(1)))=det(mi=1(A(1)i)1)det(mi=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,BMp(Mq). If A,B are positive semidefinite andblock commute, then AB0.

    Lemma 7. [4,Lemma 2.4] Let A,BMp(Mq). If B is invertible, then A,B block commute if and only if A,B1 block commute.

    Lemma 8. Let A=(A11A12A12A22),B=(B11B12B12B22)Mp(Mq) with A11,B11Mh(Mq),h<p. If A,B are positive definite and block commute, then

    (AB)/(A11B11)(A/A11)(B/B11).

    Proof. Let

    E=(A11A12A12A12A111A12),

    and

    F=(B11B12B12B12B111B12).

    Then E and F are positive semidefinite and block commute.

    By Lemma 6, we get that

    EF=(A11B11A12B12A12B12(A12A111A12)(B12B111B12))

    is positive semidefinite, thus

    (A12A111A12)(B12B111B12)(A12B12)(A11B11)1(A12B12),

    that is

    (A22A/A11)(B22B/B11)A22B22(AB)/(A11B11),

    which implies

    (AB)/(A11B11)A22(B/B11)+(A/A11)B22(A/A11)(B/B11).

    It follows from

    A22A/A11,B22B/B11,

    that

    (AB)/(A11B11)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)11Mh(Mq),h<p,i=1,,m. If Ai,i=1,,m, are positive definite and block commute, then

    det(mi=1Ai)det(mi=1(Ai)11)det(mi=1(Ai/(Ai)11)).

    Proof. By Lemma 8 and induction, we can get

    (mi=1Ai)/(mi=1(Ai)11)mi=1(Ai/(Ai)11).

    Then

    det(mi=1Ai)=det(mi=1(Ai)11)det((mi=1Ai)/(mi=1(Ai)11))det(mi=1(Ai)11)det(mi=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, A1i are all positive definite. Partition A1i as Ai for i=1,,m, then the diagonal blocks of (A1i)(j)Mpj(Mq) for j=1,,t. By Lemma 7, we get that A1i, i=1,,m, block commute. Using mathematical induction on t, we may assume t=2. By Lemma 9, we get

    det(mi=1A1i)det(mi=1(A1i)(1))det(mi=1(A1i/(A1i)(1))).

    By Lemma 3, we have

    det(mi=1A1i)det(mi=1(A(1)i)1)det(mi=1(A1i/(A1i)(1)))=det(mi=1(A(1)i)1)det(mi=1(A(2)i)1).

    This completes the proof.

    Corollary 1. Let AMp(Mq) be positive definite, partition A with diagonal blocks A(j)Mpj(Mq), j=1,,t (so p1++pt=p). Then

    det(A1Ip)det((A(1))1Ip1)det((A(t))1Ipt).

    Corollary 2. Let AMp(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(A1B)det((A(1))1B(1))det((A(t))1B(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 AiMp(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(mi=1A1i)det(mi=1(A(1)i)1)det(mi=1(A(p)i)1).

    The following lemmas will be used in the main result of this section.

    Lemma 10. [9,Theorem 5] Let AB0,CD0, and A,B,C and D be compatibly partitioned matrices. Then

    ACBD0.

    Lemma 11. [5,Lemma 3.3] Let A=(A11A12A12A22),B=(B11B12B12B22)Mp(Mq) with A11,B11Mh(Mq),h<p. If A,B are positive definite, then

    (AB)/(A11B11)(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)11Mh(Mq),h<p,i=1,,m. If Ai,i=1,,m, are positive definite, then

    det(mi=1Ai)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 AiMp(Mq), i=1,,m, partition Ai with diagonal blocks A(j)iMpj(Mq), j=1,,t (so p1++pt=p). If Ai, i=1,,m, are positive definite, then

    det(mi=1A1i)det(mi=1(A(1)i)1)det(mi=1(A(t)i)1).

    Proof. This follows analogous steps to the proof of Theorem 2.

    Corollary 4. Let AMp(Mq) be positive definite, partition A with diagonal blocks A(j)Mpj(Mq), j=1,,t (so p1++pt=p). Then

    det(A1Ip)det((A(1))1Ip1)det((A(t))1Ipt),

    and

    det(IpA1)det(Ip1(A(1))1)det(Ipt(A(t))1).

    Corollary 5. Let AMp(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(A1B)det((A(1))1B(1))det((A(t))1B(t)),

    and

    det(BA1)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 AiMp(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(mi=1A1i)det(mi=1(A(1)i)1)det(mi=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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