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Given a function on diagonal matrices, there is a unique way to extend this to an invariant (by conjugation) function on symmetric matrices. We show that the extension preserves regularity -- that is, if the original function is k times…

Functional Analysis · Mathematics 2007-05-23 Yury Grabovsky , Omar Hijab , Igor Rivin

Given a set of $p$ symmetric (real) matrices, the Orthogonal Joint Diagonalization (OJD) problem consists of finding an orthonormal basis in which the representation of each of these $p$ matrices is as close as possible to a diagonal…

Numerical Analysis · Mathematics 2024-09-04 Abd-Krim Seghouane , Yousef Saad

We introduce a notion of strong periodicity of a module over a finite-dimensional algebra over a field. We prove that the existence of such modules over certain idempotent algebras is both a necessary and sufficient condition for the…

Representation Theory · Mathematics 2025-01-16 Alfred Dabson

Tridiagonal canonical forms of square matrices under congruence or *congruence, pairs of symmetric or skew-symmetric matrices under congruence, and pairs of Hermitian matrices under *congruence are given over an algebraically closed field…

Representation Theory · Mathematics 2008-01-14 Vyacheslav Futorny , Roger A. Horn , Vladimir V. Sergeichuk

We study a class of overdetermined algebraic systems of equations. We prove that the number of distinct solutions equals to the maximal possible if and only if certain matrices are commuting and semisimple. This gives a characterization of…

Algebraic Geometry · Mathematics 2025-10-20 H. Hakopian , M. Tonoyan

We characterize completey (give a necessary and suffcient condition using special neat embeddings)for a relation algebra to belong to the amalgamation, strong amalgamation, and superamalgamation base of the class of representable algebras.…

Logic · Mathematics 2013-04-03 Tarek Sayed Ahmed

Given a square complex matrix $A$, we tackle the problem of finding the nearest matrix with multiple eigenvalues or, equivalently when $A$ had distinct eigenvalues, the nearest defective matrix. To this goal, we extend the general framework…

Numerical Analysis · Mathematics 2026-05-14 Vanni Noferini , Lauri Nyman , Federico Poloni

Given the Laplacian on a planar, convex domain with piecewise linear boundary subject to mixed Dirichlet-Neumann boundary conditions, we provide a sufficient condition for its lowest eigenvalue to dominate the lowest eigenvalue of the…

Spectral Theory · Mathematics 2017-10-03 Jonathan Rohleder

Let $A$ be a central division algebra of prime degree $p$ over $\mathbb{Q}$. We obtain subconvex hybrid bounds, uniform in both the eigenvalue and the discriminant, for the sup-norm of Hecke-Maass forms on the compact quotients of…

Number Theory · Mathematics 2023-07-13 Radu Toma

In this paper we consider the problem of how to computationally test whether a matrix inequality is positive semidefinite on a semialgebraic set. We propose a family of sufficient conditions using the theory of matrix Positivstellensatz…

Optimization and Control · Mathematics 2007-05-23 Been-Der Chen , Sanjay Lall

We produce an explicit parameterization of well-rounded sublattices of the hexagonal lattice in the plane, splitting them into similarity classes. We use this parameterization to study the number, the greatest minimal norm, and the highest…

Number Theory · Mathematics 2010-10-28 Lenny Fukshansky , Daniel Moore , R. Andrew Ohana , Whitney Zeldow

We investigate connections between the symmetries (automorphisms) of a graph and its spectral properties. Whenever a graph has a symmetry, i.e. a nontrivial automorphism $\phi$, it is possible to use $\phi$ to decompose any matrix…

Combinatorics · Mathematics 2016-10-07 Wayne Barrett , Amanda Francis , Ben Webb

We derive exact analytic expressions for the distributions of eigenvalues and singular values for the product of an arbitrary number of independent rectangular Gaussian random matrices in the limit of large matrix dimensions. We show that…

Statistical Mechanics · Physics 2013-05-29 Z. Burda , A. Jarosz , G. Livan , M. A. Nowak , A. Swiech

A matrix $A\in\mathbb{C}^{n\times n}$ is diagonalizable if it has a basis of linearly independent eigenvectors. Since the set of nondiagonalizable matrices has measure zero, every $A\in \mathbb{C}^{n\times n}$ is the limit of diagonalizable…

Functional Analysis · Mathematics 2020-04-23 Jess Banks , Archit Kulkarni , Satyaki Mukherjee , Nikhil Srivastava

In this paper, we characterize all graphs with eigenvectors of the signless Laplacian and adjacency matrices with components equal to $\{- 1, 0, 1\}.$ We extend the graph parameter max $k$-cut to square matrices and prove a general sharp…

Combinatorics · Mathematics 2022-11-29 Jorge Alencar , Leonardo de Lima , Vladimir Nikiforov

Maximization and minimization problems of the principle eigenvalue for divergence form second order elliptic operators with the Dirichlet boundary condition are considered. The principal eigen map of such elliptic operators is introduced…

Optimization and Control · Mathematics 2019-08-28 Hongwei Lou , Jiongmin Yong

We investigate max-algebraic (tropical) one-sided systems $A\otimes x=b$ where $b$ is an eigenvector and $x$ lies in an interval $X$. A matrix $A$ is said to have $X$-simple image eigencone associated with an eigenvalue $\lambda$, if any…

Rings and Algebras · Mathematics 2022-07-11 Jan Plavka , Sergei Sergeev

Mirsky proved that, for the existence of a complex matrix with given eigenvalues and diagonal entries, the obvious necessary condition is also sufficient. We generalize this theorem to matrices over any field and provide a short proof.…

Rings and Algebras · Mathematics 2013-01-22 Dragomir Z. Djokovic

We study maximal subalgebras of an arbitrary finite dimensional algebra over a field, and obtain full classification/description results of such algebras. This is done by first obtaining a complete classification in the semisimple case, and…

Rings and Algebras · Mathematics 2017-08-31 Miodrag Iovanov , Alexander Sistko

We present a proof of the existence of real eigenvalues of real symmetric matrices which does not rely on any limit or compactness arguments, but only uses the notions of "sup", "inf".

History and Overview · Mathematics 2014-06-03 Meinolf Geck