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Symmetric matrix
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31	Conformally flat homogeneous Lorentzian manifolds Kyoko Honda and Kazumi Tsukada (Ochanomizu University) Our Problem Classify conformally ﬂat homogeneous semi-Riemannian manifolds Add to Reading List Source URL: gigda.ugr.es Language: English - Date: 2011-10-21 04:10:12 Algebra Mathematics Geometry Riemannian geometry Matrix theory Differential geometry Linear algebra Bernhard Riemann Conformally flat manifold Eigenvalues and eigenvectors Symmetric space Pseudo-Riemannian manifold
32	The k-Hessian equation For a function u ∈ C 2 (Ω), where Ω is a domain in Rn , the k-Hessian operator Fk [u] is the k-trace (k th elementary symmetric polynomials of the eigenvalues) of the Hessian matrix D2 u. It Add to Reading List Source URL: maths-people.anu.edu.au Language: English - Date: 2009-04-22 20:16:34 Partial differential equations Sobolev spaces Elliptic operator Operator theory Elliptic curve Differential forms on a Riemann surface Sobolev spaces for planar domains
33	Nontriviality of equations and explicit tensors in ℂm⊗ℂm⊗ℂm of border rank at least 2m−2 Add to Reading List Source URL: www.math.tamu.edu Language: English - Date: 2016-07-07 11:18:03 Linear algebra Tensors Numerical linear algebra Functional analysis Binary operations Rank Tensor Matrix multiplication Matrix Symmetric tensor Kernel Linear subspace
34	FROM RANDOM MATRICES TO STOCHASTIC OPERATORS ALAN EDELMAN AND BRIAN D. SUTTON Abstract. We propose that classical random matrix models are properly viewed as finite difference schemes for stochastic differential operator Add to Reading List Source URL: faculty.rmc.edu Language: English - Date: 2007-08-01 16:12:27 Mathematical physics Matrices Random matrices Singular value decomposition Linear algebra Random matrix Matrix Alan Edelman Eigenvalues and eigenvectors Hermitian matrix Symmetric matrix Singular value
35	SIAM J. MATRIX ANAL. APPL. Vol. 27, No. 1, pp. 61–71 c 2005 Society for Industrial and Applied Mathematics Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2007-09-11 17:01:53 Matrices Matrix theory Linear algebra Mathematical physics Order theory Hermitian matrix Eigenvalues and eigenvectors Matrix Symmetric matrix SchurHorn theorem Tridiagonal matrix Orthogonal matrix
36	A Note on the Dai–Singleton Canonical Representation of Affine Term Structure Models Patrick Cheridito ∗ Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2008-09-19 11:39:46 Affine geometry Affine transformation Diffusion Matrix Affine combination Linear algebra Symmetric matrix Affine connection
37	The kernel of the matrix i · j mod n when n is prime. M.I. Bueno Mathematics Department and College of Creative Studies, University of California Santa Barbara ∗ S. Furtado Add to Reading List Source URL: math.ucsb.edu Language: English - Date: 2015-04-13 11:18:14 Matrices Persymmetric matrix Bisymmetric matrix Symmetric matrix Rank Matrix Divisor
38	arXiv:math-ph/0507036v2 25 NovRandom discrete Schr¨ odinger operators from Random Matrix Theory Jonathan Breuer 1 , Peter J. Forrester Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-01-07 02:19:08 Mathematical physics Matrix theory Spectral theory Matrices Linear algebra Eigenvalues and eigenvectors Eigenfunction Diagonal matrix Random matrix Matrix Spectrum Symmetric matrix
39	Permanent V. Determinant: An Exponential Lower Bound Assuming Symmetry J.M. Landsberg and Nicolas Ressayre Texas A&M University and Univ. Lyon I Add to Reading List Source URL: theory.csail.mit.edu Language: English - Date: 2016-01-16 11:34:23 Linear algebra Lie groups Matrix theory Abstract algebra Non-associative algebras Matrix Determinant Mutation Symmetry in mathematics Eigenvalues and eigenvectors General linear group Symmetric matrix
40	Introduction to Numerical Linear Algebra I Petros Drineas These slides were prepared by Ilse Ipsen for the 2015 Gene Golub SIAM Summer School on RandNLA Add to Reading List Source URL: www.drineas.org Language: English - Date: 2016-06-30 19:34:42 Matrix theory Linear algebra Matrices Matrix Symmetric matrix Determinant Eigenvalues and eigenvectors Square matrix