Norms of structured random matrices
Radosław Adamczak, Joscha Prochno, Marta Strzelecka, Michał Strzelecki

TL;DR
This paper analyzes the expected size of structured random matrices using mathematical bounds and norms.
Contribution
The paper provides optimal bounds for the expected norm of structured random matrices under various entry distributions.
Findings
Optimal bounds for the expected norm of structured random matrices are proven up to logarithmic terms.
Precise order of expected norms is determined in certain cases up to constants.
Results are derived using operator norms of Hadamard products of the structure matrix.
Abstract
For \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document}m,n∈N, let \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document}X=(Xij)i≤m,j≤n be a random matrix, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek}…
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Taxonomy
TopicsRandom Matrices and Applications · Advanced Algebra and Geometry · Point processes and geometric inequalities
