Latest Articles for Eigenvalues

A study on the unique properties and applications of Permutation-Like Matrices.

Insights into the behavior of turbulent fluid dynamics and their implications.

A look into the relationship between 2D quantum gravity and matrix models.

Explore the relationship between singular values and eigenvalues in random matrices.

A deep dive into Dirac operators and their role in physics and mathematics.

New methods for estimating eigenvalues enhance understanding of quantum systems.

Analyzing eigenvalues and eigenvectors of complex order-three random tensors.

A new method speeds up training of complex models.

Exploring how quantum algorithms enhance our study of chemical reaction rates.

Explore techniques to enhance covariance matrix estimation in large datasets.

Explore the role of random tensors in analyzing complex, multi-dimensional data.

An analysis of SGD behavior in machine learning with insights on eigenvalues and training stability.

Exploring the significance and applications of non-Hermitian random matrices and their eigenvalues.

Study reveals insights into the stability properties of the Taylor-Green vortex.

Examining behavior of eigenvalues in elliptic Ginibre ensemble and its implications.

Explore how the Laplace operator reveals properties of shapes like spheres and hemispheres.

Explore the connections between graph structures and eigenvalues.

Discover eigenvalues and coboundaries in morphic subshifts for better sequence analysis.

Explore how the fundamental gap relates to different shapes and spaces.

Investigating random tensors and their influence on critical points in complex systems.

Researchers use quantum computing to improve frequency response calculations for coupled oscillators.

A look at the interaction between light and quantum states.

A look at PCR's role in analyzing high-dimensional datasets.

New methods improve efficiency and accuracy in spectral density estimation for large graphs.

Study examines eigenvalue relationships influenced by magnetic fields in convex domains.

Researchers study non-Hermitian diluted banded random matrices to reveal unique properties.

Transforming complex problems in physics using novel techniques.

Explore the significance of random matrices in various fields and their eigenvalue behavior.

Exploring the significance of spectral radii in graphs and their applications.

Examining the p-Laplacian's role in data analysis and complex systems.

Study analyzes generalization and performance of random feature ridge regression using eigenvalues.

Exploring the significance of random matrices in various fields and their eigenvalues.

A study of the van der Pol oscillator using Koopman methods.

A new look at the Ising model reveals surprising thermodynamic properties.

This study investigates the rigidity of eigenvalues in random regular graphs amidst structural changes.

Exploring classification methods for overlapping Gaussian mixtures in machine learning.

An overview of Killing tensors, their significance, and applications in spacetime analysis.

A look at Green's functions, their derivatives, and their role in solving differential equations.

This article examines quintessence as a model for dark energy and cosmic evolution.

A fresh approach enhances community detection in sparse and imbalanced networks.