activity
20242026
collaborators

7 papers

math.NA2026

On the exponential rate of the condition number of Fourier submatrices and Vandermonde matrices

Rikhav Shah, John Urschel

The discrete Fourier transform matrix is one of the most important matrices in linear algebra, and submatrices of it arise in a variety of applications. Though the discrete Fourier…

math.NA2026

The largest 5th pivot may be the root of a 61st degree polynomial

James Chen, Alan Edelman, John Urschel

This paper introduces a number of new techniques in the study of the famous question from numerical linear algebra: what is the largest possible growth factor when performing Gauss…

math-ph2025

Nodal Count for Orthogonally Invariant Ensembles

Lior Alon, Dan Mikulincer, John Urschel

We investigate the nodal count of eigenvectors of random matrices interpreted as operators on signed complete graphs. Our focus is on orthogonally invariant ensembles, with particu…

math.CO2025

On the Maximum Spread of Non-Negative Matrices

Susie Lu, John Urschel

Given a directed graph , the spread of is the largest distance between any two eigenvalues of its adjacency matrix. In 2022, Breen, Riasanovsky, Tait, and Urschel asked what…

math.OC2025

A Class of Optimal Directed Graphs for Network Synchronization

Susie Lu, John Urschel, Ji Liu

In a paper by Nishikawa and Motter, a quantity called the normalized spread of the Laplacian eigenvalues is used to measure the synchronizability of certain network dynamics. Throu…

math.NA2024

Estimating the numerical range with a Krylov subspace

Cecilia Chen, John Urschel

Krylov subspace methods are a powerful tool for efficiently solving high-dimensional linear algebra problems. In this work, we study the approximation quality that a Krylov subspac…