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Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This class of optimization problems, known as rank minimization, is…

Optimization and Control · Mathematics 2016-11-17 Benjamin Recht , Weiyu Xu , Babak Hassibi

We consider a symmetric matrix, the entries of which depend linearly on some parameters. The domains of the parameters are compact real intervals. We investigate the problem of checking whether for each (or some) setting of the parameters,…

Numerical Analysis · Computer Science 2019-05-28 Milan Hladík

Numerical computations involving rational matrices often benefit from preserving underlying matrix structures such as symmetry, Hermitian properties, or sparsity that reflect physical, geometric, or algebraic characteristics of the system.…

Rings and Algebras · Mathematics 2026-02-26 Avisek Bist , Namita Behera

We derive simplified formulas for analyzing the stability of stochastic parametrically forced linear systems. This extends the results in [T. Blass and L.A. Romero, SIAM J. Control Optim. 51(2):1099--1127, 2013] where, assuming the…

Dynamical Systems · Mathematics 2014-02-05 Timothy Blass , L. A. Romero , J. R. Torczynski

We introduce different classical characteristics used to regularize a subharmonic function and compare them. As an application we give a complete proof of a useful characterization of the modulus of continuity of such functions in terms of…

Complex Variables · Mathematics 2020-07-17 Ahmed Zeriahi

Totally positive matrices are related with the shape preserving representations of a space of functions. The normalized B-basis of the space has optimal shape preserving properties. B-splines and rational Bernstein bases are examples of…

Numerical Analysis · Mathematics 2024-12-20 Jorge Delgado , J. M. Peña

The paper deals with the problem of penalized empirical risk minimization over a convex set of linear functionals on the space of Hermitian matrices with convex loss and nuclear norm penalty. Such penalization is often used in low rank…

Statistics Theory · Mathematics 2012-10-11 Vladimir Koltchinskii

The fermionic Gaussian operator basis provides a representation for treating strongly correlated fermion systems, as well as playing an important role in random matrix theory. We prove that a resolution of unity exists for any even…

Mathematical Physics · Physics 2015-06-11 Laura E. C. Rosales-Zárate , P. D. Drummond

The article is devoted to different aspects of the question "What can be done with a matrix by low rank perturbation?" It is proved that one can change a geometrically simple spectrum drastically by a rank 1 permutation, but the situation…

Functional Analysis · Mathematics 2008-09-02 Lev Glebsky , Luis Manuel Rivera

In (relativistic) electronic structure methods, the quaternion matrix eigenvalue problem and the linear response (Bethe-Salpeter) eigenvalue problem for excitation energies are two frequently encountered structured eigenvalue problems.…

Chemical Physics · Physics 2021-12-01 Zhendong Li

Based on Stokes' theorem we derive a non-holomorphic functional calculus for matrices, assuming sufficient smoothness near eigenvalues, corresponding to the size of related Jordan blocks. It is then applied to the complex conjugation…

Functional Analysis · Mathematics 2017-01-31 Olavi Nevanlinna

In this paper, the necessary and sufficient conditions in order that a smooth mapping F be a dependence of a complete solution of some second-order ordinary differential equation on Neumann conditions are deduced. These necessary and…

Classical Analysis and ODEs · Mathematics 2007-05-23 P. Chladek

We obtain an explicit analytical sufficient condition on $E$ that ensures the monotonicity of the matrix $M+E$, where $M$ is an $M$-matrix.

Combinatorics · Mathematics 2013-08-06 Felix Goldberg

We introduce right eigenvalues and subeigenvalues for square dual complex matrices. An $n \times n$ dual complex Hermitian matrix has exactly $n$ right eigenvalues and subeigenvalues, which are all real. The Hermitian matrix is positive…

Rings and Algebras · Mathematics 2021-11-16 Liqun Qi , Ziyan Luo

Assume that the eigenvalues of a finite hermitian linear operator have been deduced accurately but the linear operator itself could not be determined with precision. Given a set of eigenvalues $\lambda$ and a hermitian matrix $M$, this…

Numerical Analysis · Mathematics 2017-03-03 Marcel Padilla , Benedikt Kolbe , Aniruddha Chakraborty

It is well known that if a matrix $A\in\mathbb C^{n\times n}$ solves the matrix equation $f(A,A^H)=0$, where $f(x, y)$ is a linear bivariate polynomial, then $A$ is normal; $A$ and $A^H$ can be simultaneously reduced in a finite number of…

Numerical Analysis · Mathematics 2018-11-15 Roberto Bevilacqua , Gianna M. Del Corso , Luca Gemignani

We describe the recursive algorithmic procedure to compute the stabilizers of the group of complex orthogonal matrices with respect to the action of similarity on the set of all symmetric matrices. Futhermore, lower bounds for dimensions of…

Algebraic Geometry · Mathematics 2020-09-23 Tadej Starčič

A $n\times n$ matrix $A$, which has a certain sign-symmetric structure ($J$--sign-symmetric), is studied in this paper. It is shown that such a matrix is similar to a nonnegative matrix. The existence of the second in modulus positive…

Spectral Theory · Mathematics 2010-02-16 O. Y. Kushel

We give necessary and sufficient topological conditions for a simple closed curve on a real rational surface to be approximable by smooth rational curves. We also study approximation by smooth rational curves with given complex…

Algebraic Geometry · Mathematics 2025-05-26 János Kollár , Frédéric Mangolte

We investigate the problem of completing partial matrices to rank-one matrices in the standard simplex. The motivation for studying this problem comes from statistics: A lack of eligible completion can provide a falsification test for…

Statistics Theory · Mathematics 2016-04-29 Kaie Kubjas , Zvi Rosen