Lectures related to Diagonal | EPFL Graph Search

Covers the theory and examples of diagonalizing matrices, focusing on eigenvalues, eigenvectors, and linear independence.

Explores examples of diagonalization in linear algebra, focusing on eigenvalues and eigenvectors.

Explores linear systems, row operations, and solution methods, emphasizing geometric interpretations and unique solutions.

Explores the properties and examples of diagonalizable matrices, emphasizing the relationship between eigenvectors and eigenvalues.

Explores linear functions, systems of equations, and geometric interpretations of solutions.

Explains the inertia tensor, main axes, principal moments, and balancing of rotating solids.

Covers the approximation of Champ-Poyon, focusing on effective equations and practical applications.

Covers the application of diagonalization to a genetic problem involving flower color proportions in successive generations.

Explains the geometric interpretation of eigen vectors and values in material deformation.

Explores the Jaynes-Cummings Hamiltonian, emphasizing diagonalization and Rabi oscillations in the vacuum state.

Explores the diagonalization of matrices through eigenvectors and eigenvalues.

Explores the diagonalization of matrices through eigenvalues and eigenvectors, emphasizing the importance of bases and subspaces.

Explores advanced physics topics, emphasizing kinetic energy and practical examples.

Explores the diagonalization of matrices and the conditions for exact diagonalization, with examples demonstrating the process.

Introduces the Jacobi method for solving linear systems and determining convergence.

Delves into the geometric principles of Gothic architecture, focusing on surface curvature and stereotomy techniques.

Explores the concept of rank in 3x3 matrix representations and how it determines the structure of matrices.