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An extension of Birkhoff's theorem with an application to determinants

机译:Birkhoff定理的扩展及其在行列式中的应用

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Let M, (F) denote the algebra of n x n matrices over the field F of complex, or real, numbers. Given a self-adjoint involution J epsilon M-n (C), that is, J = J*, J(2) = I, let us consider U endowed with the indefinite inner product [.] induced by J and defined by [x, y] := (Jx, y), x,y epsilon C-n. Assuming that (r, n - r), 0 <= r <= n, is the inertia of J, without loss of generality we may assume J = diag(j(1),..., j,,) For T = (vertical bar tik vertical bar(2)) epsilon M-n(R), the matrices of the form T = (vertical bar tik vertical bar(2) 12.j(i) j(k)), With all line sums equal to 1, are called J-doubly stochastic matrices. In the particular case r E {0, n}, these matrices reduce to doubly stochastic matrices, that is, non-negative real matrices with all line sums equal to 1. A generalization of Birkhoff's theorem on doubly stochastic matrices is obtained for J-doubly stochastic matrices and an application to determinants is presented. (c) 2007 Elsevier Inc. All rights reserved.
机译:令M,(F)表示复数或实数场F上n x n矩阵的代数。给定自伴随对合JεMn(C),即J = J *,J(2)= I,让我们考虑赋予U的不定内积[。],它由J诱导并由[x, y]:=(Jx,y),x,y epsilon Cn。假设(r,n-r),0 <= r <= n是J的惯性,在不失一般性的情况下,我们可以假定J = diag(j(1),...,j ,,) =(vertical bar tik垂直bar(2))epsilon Mn(R),形式为T的矩阵=(vertical bar tik垂直bar(2)12.j(i)j(k)),所有行和均相等到1,称为J双重随机矩阵。在特定情况下r E {0,n},这些矩阵归结为双重随机矩阵,即所有行总和等于1的非负实数矩阵。对于J-提出了双重随机矩阵及其在行列式中的应用。 (c)2007 Elsevier Inc.保留所有权利。

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