23,308 research outputs found

    Circular law for random discrete matrices of given row sum

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    Let MnM_n be a random matrix of size n×nn\times n and let λ1,...,λn\lambda_1,...,\lambda_n be the eigenvalues of MnM_n. The empirical spectral distribution μMn\mu_{M_n} of MnM_n is defined as \mu_{M_n}(s,t)=\frac{1}{n}# \{k\le n, \Re(\lambda_k)\le s; \Im(\lambda_k)\le t\}. The circular law theorem in random matrix theory asserts that if the entries of MnM_n are i.i.d. copies of a random variable with mean zero and variance σ2\sigma^2, then the empirical spectral distribution of the normalized matrix 1σnMn\frac{1}{\sigma\sqrt{n}}M_n of MnM_n converges almost surely to the uniform distribution \mu_\cir over the unit disk as nn tends to infinity. In this paper we show that the empirical spectral distribution of the normalized matrix of MnM_n, a random matrix whose rows are independent random (1,1)(-1,1) vectors of given row-sum ss with some fixed integer ss satisfying s(1o(1))n|s|\le (1-o(1))n, also obeys the circular law. The key ingredient is a new polynomial estimate on the least singular value of MnM_n

    Random matrices: Law of the determinant

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    Let AnA_n be an nn by nn random matrix whose entries are independent real random variables with mean zero, variance one and with subexponential tail. We show that the logarithm of detAn|\det A_n| satisfies a central limit theorem. More precisely, \begin{eqnarray*}\sup_{x\in {\mathbf {R}}}\biggl|{\mathbf {P}}\biggl(\frac{\log(|\det A_n|)-({1}/{2})\log (n-1)!}{\sqrt{({1}/{2})\log n}}\le x\biggr)-{\mathbf {P}}\bigl(\mathbf {N}(0,1)\le x\bigr)\biggr|\\\qquad\le\log^{-{1}/{3}+o(1)}n.\end{eqnarray*}Comment: Published in at http://dx.doi.org/10.1214/12-AOP791 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org

    Degenerate complex Hessian equations on compact K\"ahler manifolds

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    Let (X,ω)(X,\omega) be a compact K\"ahler manifold of dimension nn and fix mNm\in \mathbb{N} such that 1mn1\leq m \leq n. We prove that any (ω,m)(\omega,m)-sh function can be approximated from above by smooth (ω,m)(\omega,m)-sh functions. A potential theory for the complex Hessian equation is also developed which generalizes the classical pluripotential theory on compact K\"ahler manifolds. We then use novel variational tools due to Berman, Boucksom, Guedj and Zeriahi to study degenerate complex Hessian equations

    Geometrically nonlinear isogeometric analysis of laminated composite plates based on higher-order shear deformation theory

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    In this paper, we present an effectively numerical approach based on isogeometric analysis (IGA) and higher-order shear deformation theory (HSDT) for geometrically nonlinear analysis of laminated composite plates. The HSDT allows us to approximate displacement field that ensures by itself the realistic shear strain energy part without shear correction factors. IGA utilizing basis functions namely B-splines or non-uniform rational B-splines (NURBS) enables to satisfy easily the stringent continuity requirement of the HSDT model without any additional variables. The nonlinearity of the plates is formed in the total Lagrange approach based on the von-Karman strain assumptions. Numerous numerical validations for the isotropic, orthotropic, cross-ply and angle-ply laminated plates are provided to demonstrate the effectiveness of the proposed method

    Modelling of dishing for metal chemical mechanical polishing

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    In this paper, a physical model for the development of dishing during metal chemical mechanical polishing (CMP) is proposed. The main assumption of the model is that material removal occurs predominantly at the pad/wafer contacts. The distribution of pad/wafer contact size is studied first. This distribution is used as an input for a model of the dependence for the material removal rate on the line width. A relation that describes the development of dishing as a function of overpolish time will be presented. The model describes to a great accuracy the observed dishing effects, using one free paramete
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