Latest Articles for Eigenvalues

A look into trace and spectral norms of matrices with zero diagonals.

Exploring the significance of non-Hermitian random matrices in complex physical systems.

A new approach uses neural networks to speed up eigenvalue and eigenvector finding.

Investigating solitary states and their behavior in interconnected oscillator networks.

A deep dive into hypergraph structures and their ranking via spectral moments.

This study analyzes the significance of the spectral gap in Erdős-Rényi graphs.

A look into the dynamics of nonnormal Toeplitz matrices under perturbations.

Learn how mixed methods aid in finding lower eigenvalue bounds.

Study reveals key properties of inhomogeneous random matrices and spectral outliers.

A fresh approach enhances the efficiency of estimating multiple eigenvalues in quantum systems.

An overview of complex reachability problems in linear systems.

A new method simplifies the study of random geometric graphs for deeper insights.

Introducing EPIC, a method for efficient eigenvalue computation.

Examining walk matrices and cokernels reveals insights into random graph structures.

Exploring the connection between curved Fukaya algebras and their geometric implications.

A study on how spheroid shapes affect physical processes through the Dirichlet-to-Neumann operator.

This article examines the stability and behavior of Stokes waves in deep water.

Learn how k-primitivity enhances our understanding of matrix interactions and real-world applications.

Examining how traces of operators behave on hyperbolic surfaces.

Exploring the significance of random matrices in science and mathematics.

A new method to tackle large-scale trace ratio issues in classification tasks.

Exploring the properties of symmetric random matrices and their eigenvalues.

A method for accurately calculating eigenvalues and eigenfunctions in complex problems.

A look into non-Hermitian Wishart matrices and their applications in statistics and physics.

An overview of quantum graphs, their structure, and eigenvalue significance.

Research reveals new methods for analyzing brain signals and their implications for health.

A look into random matrices and their applications in various fields.

Explore the relationship between graph colorings and eigenvalues in mathematics.

This article examines nodal count and surplus in graphs with independent cycles.

Discovering shapes that minimize eigenvalues within volume limits.

A look into eigenvalues and their significance in shapes and spaces.

Exploring properties and behaviors of random centrosymmetric matrices and their eigenvalues.

Improving eigenvalue estimation through new SoftFEM techniques.

An overview of generalized Bratteli diagrams and their significance in dynamical systems.

A novel approach to locate saddle points in magnetic materials for better analysis.

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.