On mixed discriminants of positively definite matrix
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1 Also available at ISSN printed edn., ISSN electronic edn. ARS MATHEMATICA CONTEMPORANEA On mixed discriminants of positively definite matrix Chang-Jian Zhao Department of Mathematics, China Jiliang University, Hangzhou , P. R. China Xiao-Yan Li Department of Mathematics, Hunan Normal University, Changsha , P. R. China Received 2 November 2012, accepted 21 February 2014, published online 11 January 2015 Abstract In the paper, some new inequalities for the mixed discriminants of positively definite matrix are established, which are the matrix analogues of inequalities of the well-known mixed volumes function. Keywor: Mixed discriminants, symmetric matrix, mixed volume, Aleksandrov s inequality. Math. Subj. Class.: 15A09, 52A40 1 Introduction Let x 1,..., x n be a set of nonnegative quantities and let E i x be the i-th elementary symmetric function of an n-tuple x = xx 1,..., x n of non-negative reals is defined by E 0 x = 1 and E i x = x j1 x j2 x ji, 1 i n. 1<j 1< <j i n An interesting inequality for the symmetric function was established [1], also see [2], p. 33 as follows. E i x + y E i 1 x + y E ix E i 1 x + E iy E i 1 y. 1.1 Research is supported by National Natural Science Foundation of China Author to whom correspondence should be addressed. addresses: chjzhao@163.com chjzhao@aliyun.com chjzhao315@sohu.com Chang-Jian Zhao, lixy-77@163.com Xiao-Yan Li cb This work is licensed under
2 262 Ars Math. Contemp A matrix analogue of 1.1 is the following result of Bergstrom [3]. Let K and L be positive definite matrix, and let K i and L i denote the sub-matrices obtained by deleting the i-th row and column. Then detk + L detk i + L i detk detk i + detl detl i. 1.2 An interesting proof is due to Bellman [4] also see [2], p. 67. A generalization of 1.2 was established by Ky Fan [5] also see [6-7]. Moreover, we assume all positive definite matrix are supposed to be symmetric in the article. There is a remarkable similarity between inequalities for symmetric functions or determinants of symmetric matrices and inequalities for the mixed volumes of convex bodies. In 1991, V. Milman asked if there is version of 1.1 or 1.2 in the theory of mixed volumes and it was stated as the following open question see [8]: Question 1.1. For which values of i is it true that for very pair of convex bodies K and L in R n, W i K + L W i+1 K + L W ik W i+1 K + W il W i+1 L? 1.3 The convex body is the compact and convex subsets with non-empty interiors in R n. W i K denotes the quermassintegral of convex body K and W i+1 K denotes the mixed volumes V K,..., K, B,..., B. The sum + is the usual Minkowski vector sum and B }{{}}{{} n i 1 i+1 denotes the unit ball. A theorem by Minkowski provides a fundamental relation between volume and operations of addition and multiplication of convex bodies by nonnegative reals: If K 1,..., K m are convex bodies, m N, then the volume of t 1 K t m K m is a homogeneous polynomial of degree n in t i > 0 see [14]. That is V t 1 K t m K m = V K i1,..., K in t i1 t in, 1 i 1,...,i n m where the coefficients V K i1,..., K in are chosen to be invariant under permutations of their arguments. The coefficient V K i1,..., K in is called the mixed volume of the n-tupe K i1,..., K in. Steiner s formula is a special case of Minkowski s theorem; the volume of K + tb, t 0, can be expanded as a polynomial in t: V K + tb = n i=0 n i W i Kt i, where W i K := V K,..., K, B,..., B is the quermassintegral of convex body K. }{{}}{{} n i i A partial answer L must be a ball of 1.3 was established by Gianopoulos, Hartzoulaki and Paouris [9]. If K is a convex body and D is a ball in R n, then for i = 0,..., n 1 W i K + D W i+1 K + D W ik W i+1 K + W id W i+1 D. 1.4
3 C.-J. Zhao and X.-Y. Li: On mixed discriminants of positively definite matrix 263 The answer to the above question is negative; it can be proved that 1.3 is true in full generality only when i = n 1 or i = n 2 the details see [10]. Moreover, a dual inequality of 1.4 for the dual quermassintegral of star bodies was proved by Li and Leng [11]. In the paper, we establish some inequalities for mixed discriminants of positively definite matrix which are matrix analogues of some mixed volumes inequalities. 2 Mixed discriminants and Aleksandrov s inequality Recall that for positive definite n n matrices K 1,..., K N and λ 1,..., λ N 0, the determinant of the linear combination λ 1 K λ N K N is a homogeneous polynomial of degree n in the λ i see e.g. [12], detλ 1 K λ N K N = DK i1,..., K in λ i1 λ in, i 1,...,i n N where the coefficient DK i1,..., K in are chosen to be invariant under permutations of their arguments. The coefficient DK i1,..., K in is called the mixed discriminant of K i1,..., K in. The mixed discriminant DK,..., K, I,..., I, with n k copies of K and k copies of the identity matrix, I, will be abbreviated by D k K. From 2.1, we have n i D i K + λi = j=0 n i j λ j D i+j K. 2.2 Note that the elementary mixed discriminants D 0 K,..., D n K are thus defined as the coefficients of the polynomial detk + λi = n i=0 n i λ i D i K. 2.3 Obviously, D 0 K = detk while nd n 1 K is the trace of K. The well-known Aleksandrov s inequality for mixed discriminants can state as follows see [13], also see [14], p.383 or [15], p.35: Lemma 2.1. If K 1, K 2,..., K n are real symmetric positively definite n n matrices, then DK 1, K 2, K 3,..., K n 2 DK 1, K 1, K 3,..., K n DK 2, K 2, K 3,..., K n, 2.4 with equality if and only if K 1 =λk 2 with positive number λ. 3 Inequalities for mixed discriminants of positively definite matrix Theorem 3.1. Let K be symmetric positively definite matrix and I stan for the identity matrix and t 0. If 0 i n 1 and i N, then the function gt = D ik + ti D i+1 K + ti 3.1 is an increasing and concave function on [0, +.
4 264 Ars Math. Contemp Proof. If f i s = D i K + si, then by the linearity of the mixed discriminant we see that n i f i s + ε = j=0 n i j ε j D i+j K + si = f i s + εn if i+1 s + oε 2. Hence df i s = lim ε 0 fs + ε fs ε = n if i+1 s. 3.2 Similarly, we obtain df i+1 s = n i 1f i+2 s. 3.3 From 2.4, we obtain for all 0 i < n with equality if and only if K = µi. From 3.2, 3.3 and 3.4, we have f 2 i+1s f i sf i+2 s 0, 3.4 df i s f i+1s fs df i+1s = f 2 i+1s + n i 1f 2 i+1s f i sf i+2 s f 2 i+1s. Therefore dgs = fi s f i+1 s = f i sf i+1s fsf i+1 s f 2 i+1 s = n i n i 1 f isf i+2 s f 2 i+1 s. 3.5 Hence ft = D ik + ti D i+1 K + ti is an increasing and concave function on [0, +. Theorem 3.2. Let K be symmetric positively definite matrix and I stan for the identity matrix. If 0 i < n, then n id i+2 KD i+1 K 2 D i KD i+2 K n i 2D i KD i+2 K 2 D i+1 KD i+3 K. 3.6
5 C.-J. Zhao and X.-Y. Li: On mixed discriminants of positively definite matrix 265 Proof. Let f i t = D i K + ti for t 0 and gt = dgs By differentiating the both sides of 3.6 again, we have f it f i+1 t, then = n i n i 1 f itf i+2 t f 2 i+1 t. 3.7 d 2 gs 2 = n i 1 n if i+2tf 2 i+1 t + n i 2f itf i+1 tf i+3 t 2n i 1f i tf 2 i+2 t f 3 i+1 t. From 3.8 and in view of gs being a concave function, we obtain 3.8 n if i+2 tf 2 i+1t + n i 2f i tf i+1 tf i+3 t 2n i 1f i tf 2 i+2t 0, for t 0, +. This can be equivalently written in the form n if i+2 t fi+1t 2 f i tf i+2 t n i 2f i t fi+2t 2 f i+1 tf i+3 t. Hence n id i+2 K + ti D i+1 K + ti 2 D i K + tid i+2 K + ti 3.9 n i 2D i K + ti D i+2 K 2 D i+1 K + tid i+3 K + ti Notice that f i t is continuous function, letting t 0 + in 3.10, 3.10 reduces to the inequality in Theorem 3.2. References [1] A. D. Aleksandrov, Zur Theorie der gemischten Volumina von konvexen Körpen, Die gemischten Diskriminanten und die gemischten Volumina in Russian, Mat. Sbornik , [2] E. F. Bechenbach, R. Bellman, Inequalities, first ed., Springer-Verlag, Berlin-Göttingen, Heidelberg, [3] R. Bellman, Notes on matrix theory-iv: an inequality due to Bergstrom, Amer. Math. Monthly , [4] H. Bergstrom, A triangle inequality for matrices. Den Elfte Skandinaviski Matematikerkongress, Trondheim, first ed., 1949, Oslo: John Grundt Tanums Forlag, [5] A. Dembo, T. M. Cover and J. A. Thomas, Information theoretic inequalities, IEEE Trans. Infor. Theory , [6] K. Fan, Some inequalities conerning positive-definite hermitian matrices, Proc. Cambridge Phil. Soc , [7] K. Fan, Problem 4786, Amer. Math. Monthly , 289.
6 266 Ars Math. Contemp [8] M. Fradelizi, A. Giannopoulos and M. Meyer, Some inequalities about mixed volumes, Israel J. Math , [9] A. Giannopoulos, M. Hartzoulaki and G. Paouris, On a local version of the Aleksandrov- Fenchel inequality for the quermassintegrtals of a convex body, Proc. Amer. Math. Soc , [10] X. Y. Li and G. S. Leng, Some inequalities about dual mixed volumes of star bodies, Acta Math. Sci , [11] E. Lutwak, D. Yang and G. Zhang, A new affine invariant for polytopes and Schneider s projection problem, Trans. Amer. Math. Soc , [12] M. Marcus and M. Marcus, Inequalities for symmetric functions and Hermitian matrices, Canad J. Math , [13] L. Mirsky, Maximum principles in matrix theory, Proc. Glasgow Math. Assoc , [14] P. Pranayanuntana, Elliptic Brunn-Minkowski Theory, first ed., UMT Dissertations Publishing, [15] R. Schneider, Convex Bodies: The Brunn-Minkowski Theory, first ed., Cambridge Univ. Press, 1993.
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