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Nonnegative definite hermitian matrices with increasing principal minors Shmuel Friedland∗ 3 1 January 20, 2013 0 2 n Abstract a J Anonnegativedefinitehermitianm×mmatrixA6=0hasincreasingprinci- 0 pal minors if detA[I]6det[J] for I ⊂J, where detA[I] is the principal minor 2 of Abasedonrowsandcolumns inthe setI ⊆{1,...,m}. For m>1 we show ] A has increasing principal minors if and only if A−1 exists and its diagonal A entries are less or equal to 1. C 2010 Mathematics Subject Classification. 15B57, 90C10 . h Key words. Submodular functions, Hadamard-Fischer inequality, CUR approxi- t a mations. m [ 1 Introduction and statement of the main result 1 v 5 Let m be a positive integer and denote [m] := {1,...,m}. A real valued function 6 w : 2[m] → R defined on all subsets of [m] is called nondecreasing if w(I) 6 w(J) 6 4 when I ⊂ J ⊂ [m]. It is submodular if . 1 0 w(I)+w(J) >w(I ∪J)+w(I ∩J) 3 1 for any two subsets I,J of [m]. The importance of submodular functions in com- : v binatorial optimization is well known. Several polynomial time algorithms to min- i X imize a submodular function under a matroid constraint are known, we refer the r reader to the survey [Iwa08] for more information. The maximization of a sub- a modular function under a matroid constraint, and specially, under a cardinality constraint, ν (w) := max w(I), is also of great interest. For some submod- k I⊂[m],|I|6k ularfunctionsw thelatter problemisNP-hard. However, aclassical result[NWF78] shows that when w is nondecreasing and submodular, the greedy algorithm allows one to compute an approximation νG(w) of ν (w) which is such that νG(w) > k k k (1−e−1)ν (w). k Denote by H ⊃ H the cone of m × m nonnegative definite hermitian m,+ m,++ matrices and its interior consisting of positive definite hermitian matrices respec- tively. For I ⊆ [m] denote by A[I] the principal submatrix of A, obtained from A ∗DepartmentofMathematics,StatisticsandComputerScience,UniversityofIllinoisatChicago, Chicago, Illinois 60607-7045, USA, [email protected]. This work was supported by NSF grant DMS-1216393. 1 by deleting the rows and columns in the set [m]\I. Recall that the principal minors of a nonnegative definite matrix satisfy the multiplicative submodularity property: detA[I ∪J]detA[I ∩J]6 detA[I]detA[J], where I,J ⊆ [m], A ∈ H . (1.1) m,+ We assume here that detA[∅] = 1. In other words, the function log(·,A) : 2[m] → R given by log(I,A) := logdetA[I], I ⊆ [m], A ∈H (1.2) m,+ issubmodular. Thisinequalityhasarisenintheworkofseveralauthors. Itgoesback to Gantmacher and Kre˘ın [GK60] and Kotelyanski˘ı [Kot50], see the discussion by Ky Fan [Fan67, Fan68]. The classical Hadamard-Fischer inequality for the principal minors of nonnegative definite matrices is obtained when I∩J = ∅. It is well known that the inequality (1.1) hold also for M-matrices, e.g. [Car67]. [FG12, §5] discusses the CUR approximation [GTZ97] of nonnegative definite hermitian matrix. The main problem there is to find a good approximation to the maximum of detA[I] on all subsets I of [m] of cardinality k. Assuming that A has increasing principal minors the greedy algorithm is applied to give an estimate for the CUR approximation. It is shown in [FG12] that if all eigenvalues of A are greater or equal 1 then A has increasing principal minors. The purpose of this note is the following theorem. Theorem 1 Let A ∈ H \{0}. Assume that m > 1. Then A has increasing m,+ principal minors if and only if A is positive definite and all diagonal entries of A−1 are less or equal to 1. 2 Proof of Theorem 1 Assume first that A has increasing principal minors. Suppose that detA = 0. Since A is nonnegative definite we have that 0 6 detA[I] 6 detA = 0 for any nontrivial subset I of [m]. Hence A = 0 contrary to our assumption. Therefore A is positive definite. Let B = [b ] := A−1. Clearly B is positive definite. As ij A has increasing principal minors we deduce that detA[[m]\{i}] 6 detA. Hence b = detA[[m]\{i}] 6 1 for each i ∈ [m]. ii detA It is left to show that if A is positive definite, B = [b ] := A−1 and b 6 1 ij ii for i ∈ [m] then A has increasing principal minors. We first observe that B has decreasing principal minors, i.e detB[I]> detB[J] if I ⊂ J. Indeed, it is enough to consider the case where J = I ∪{j}, where j ∈/ I. Then the Hadamard-Fischer in- equality yields detB[J] 6 b detB[I] 6 detB[I]. Recall the Sylvester determinant jj detA[I] identity: detB[[m]\I] = . Since B has decreasing principal minors it follows detA that A has increasing principal minors. 2 Corollary 2 Let A ∈ H and m > 1. Denote B = [b ] := A−1. Then m,++ ij tA,t > 0 has increasing principal minors if and only if t > max b . i∈[m] ii 2 References [Car67] D. Carlson, Weakly sign-symmetric matrices and some determinantal in- equalities, Colloq. Math. 17 (1967), 123129. [Fan67] Ky Fan. Subadditive functions on a distributive lattice and an extension of Sza´sz’s inequality. J. Math. Anal. Appl., 18:262–268, 1967. [Fan68] Ky Fan. An inequality for subadditive functions on a distributive lat- tice, with application to determinantal inequalities. Linear Algebra and Appl., 1(1):33–38, 1968. [FG12] S. Friedland and S. Gaubert, Submodular spectral functions of principal submatrices of an hermitian matrix, Linear Algebra and its Applications, 2012, available on line, arXiv:1007.3478. [GK60] F.R.Gantmacher andM.G.Kre˘ın. Oszillationsmatrizen, Oszillationskerne und kleine Schwingungen mechanischer Systeme. Wissenschaftliche Bear- beitung der deutschen Ausgabe: Alfred Sto¨hr. Mathematische Lehrbu¨cher und Monographien, I. Abteilung, Bd. V. Akademie-Verlag, Berlin, 1960. [GTZ97] S.A. Goreinov, E.E. Tyrtyshnikov, and N.L. Zamarashkin, A theory of pseudo-skeleton approximations of matrices, Linear Algebra Appl. 261 (1997), 1 – 21. [Iwa08] S. Iwata. Submodular function minimization. Math. Program., 112(1, Ser. B):45–64, 2008. [Kot50] D. M. Kotelyanski˘ı. On the theory of nonnegative and oscillating matrices. Ukrain. Mat. Zˇurnal, 2(2):94–101, 1950. [NWF78] G. L. Nemhauser, L. A. Wolsey, and M. L. Fisher. An analysis of ap- proximations for maximizing submodularset functions. I. Math. Programming, 14(3):265–294, 1978. 3

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