Latest Articles for Eigenvalues

Research enhances coding techniques for better data transmission and error correction.

Exploring the relationship between eigenvalues and independence complexes in graph theory.

This paper presents a simplified approach to find roots of analytic functions in complex analysis.

Graphs reveal relationships through their spectra and structural properties.

An overview of contact manifolds and their relationship to symplectic structures.

Explore the significance of Kwong and Loewner matrices in mathematics and real-world applications.

This method improves data classification efficiency and accuracy over traditional techniques.

Explore the fascinating world of Sierpiński fractals and their dimensions.

This article discusses isospectral reductions for efficient computation in stochastic matrices.

Exploring a geometric method for eigenvalue approximation in banded Toeplitz matrices.

New algorithms enhance memory retrieval in Hopfield networks for better performance.

A look into the statistical behavior of eigenvalues within Ginibre ensembles.

Explore the role of infinitesimal operators in random matrix theory and their interactions.

A look at the unique properties of the real Ginibre ensemble in random matrix theory.

Exploring polynomials on the unit ball and their spatial and frequency characteristics.

A look into how gain and loss interact in N-channel systems.

This research investigates the links between shapes and mathematical functions.

A look into the key concepts of quantum mechanics and their implications.

Exploring the role of dynamic p-Laplacian in analyzing fluid motion and coherent sets.

An overview of Dirac operators used to study systems with time delays.

Exploring eigenvalues in simplicial complexes reveals new patterns and insights.

A look into how networks synchronize and interact across various fields.

Study how small changes lead to major shifts in system behavior.

Explore bipartite graphs, eigenvalues, and their role in coding theory.

This study examines the behavior of unit balls' volumes under different norms.

Study reveals how quadratic polynomials behave as random matrices increase in size.

This article examines the eigenvalue distribution of large antisymmetric random matrices.

Learn how CCA helps uncover relationships between diverse data sets.

A new method improves dimension estimation for complex high-dimensional data.

A new method improves the study of complex matrix dynamics over time.

This study examines fluid stability under various conditions using the Boussinesq approximation.

Investigating real eigenvalues in non-Hermitian quantum systems reveals new insights.

Research finds new ways to control vibrations in fluid-carrying pipe systems.

New methods improve quantum fidelity calculations in information science.

Eigenvalues play a crucial role in understanding systems in math and physics.

Explore the key concepts and applications of random matrix theory in various fields.

This study extends classic inequalities into magnetic fractional Sobolev spaces, focusing on local and nonlocal contexts.

This paper examines Andr asfai graphs, focusing on eigenvalues and local metric dimensions.

Exploring connections between geometry, eigenfunctions, and fluid behavior in bounded domains.

A look into the challenges of understanding quantum system evolution.