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1.
A min-max theorem for complex symmetric matrices   总被引:1,自引:0,他引:1  
We optimize the form Re xtTx to obtain the singular values of a complex symmetric matrix T. We prove that for ,
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2.
Let be a locally strongly convex hypersurface, given by the graph of a convex function xn+1=f(x1,…,xn) defined in a convex domain ΩRn. M is called a α-extremal hypersurface, if f is a solution of
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3.
Let be the set of entrywise nonnegative n×n matrices. Denote by r(A) the spectral radius (Perron root) of . Characterization is obtained for maps such that r(f(A)+f(B))=r(A+B) for all . In particular, it is shown that such a map has the form
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4.
Let V be a vector space over a field or skew field F, and let U be its subspace. We study the canonical form problem for bilinear or sesquilinear forms
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5.
We find lower bounds on the difference between the spectral radius λ1 and the average degree of an irregular graph G of order n and size e. In particular, we show that, if n ? 4, then
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6.
7.
Walks and the spectral radius of graphs   总被引:1,自引:0,他引:1  
Given a graph G, write μ(G) for the largest eigenvalue of its adjacency matrix, ω(G) for its clique number, and wk(G) for the number of its k-walks. We prove that the inequalities
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8.
The paper deals with an entire matrix-valued function of a complex argument (an entire matrix pencil) f of order ρ(f)<. Identities for the following sums of the characteristic values of f are established:
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9.
The higher Randi? index Rt(G) of a simple graph G is defined as
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10.
Let Ψ be a bounded set of n×n non-negative matrices. Recently, the max algebra version μ(Ψ) of the generalized spectral radius of Ψ was introduced. We show that
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11.
Let A be an n-by-n (n?2) matrix of the form
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12.
13.
This paper is concerned with solving linear system (In+BL?B2B1)x=b arising from the Green’s function calculation in the quantum Monte Carlo simulation of interacting electrons. The order of the system and integer L are adjustable. Also adjustable is the conditioning of the coefficient matrix to give rise an extreme ill-conditioned system. Two numerical methods based on the QR decomposition with column pivoting and the singular value decomposition, respectively, are studied in this paper. It is proved that the computed solution by each of the methods is weakly backward stable in the sense that the computed is close to the exact solution of a nearby linear system
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14.
Let A be an n×n complex matrix and c=(c1,c2,…,cn) a real n-tuple. The c-numerical range of A is defined as the set
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15.
Let a,b>0 and let ZMn(R) such that Z lies into the operator ball of diameter [aI,bI]. Then for all positive definite AMn(R),
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16.
Given a bounded set Ψ of n×n non-negative matrices, let ρ(Ψ) and μ(Ψ) denote the generalized spectral radius of Ψ and its max version, respectively. We show that
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17.
It is known that for any nonzero complex n×n matrices X and Y the quotient of Frobenius norms
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18.
We show that if A is an n-by-n (n?3) matrix of the form
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19.
Let rk(n) denote the number of representations of an integer n as a sum of k squares. We prove that for odd primes p,
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20.
Let X be a real finite-dimensional normed space with unit sphere SX and let L(X) be the space of linear operators from X into itself. It is proved that X is an inner product space if and only if for A,CL(X)
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