AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 47 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
By distilling and combining earlier arguments, we give a self-contained and entirely elementary proof of the strong and real linear polarization inequalities established by Mart\'inez and Ortega-Moreno. Specifically, for any unit vectors $u_1,\ldots,u_n\in\mathbb{R}^d$, there exists a unit vector $v\in\mathbb{R}^d$ suc...
We give a self-contained and entirely elementary proof of the strong polarization inequality: for any unit vectors $u_1,\ldots,u_n\in\mathbb{R}^d$, there exists a unit vector $v\in\mathbb{R}^d$ such that \[ \sum_{i=1}^n \frac{1}{\langle u_i,v\rangle^2}\le n^2. \] As an immediate consequence, we recover the real linear...
We develop a residue-theoretic framework for studying inverse eigenvectors of a square matrix, defined by the nonlinear equation $M\alpha=\alpha^{-1}$. Our main result is an inverse analogue of the spectral theorem: under natural transversality and properness assumptions, the identity operator admits an explicit decomp...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.