Linearisation of Flow

Related lectures (25)

Page 2 of 3

Covers eigenvalues, eigenvectors, and the Fibonacci sequence, exploring their mathematical properties and practical applications.

Covers the diagonalization of matrices using eigenvectors and eigenvalues.

Covers the concept of diagonalization of matrices through the study of eigenvectors and eigenvalues.

Covers the decomposition of a matrix into its eigenvalues and eigenvectors, the orthogonality of eigenvectors, and the normalization of vectors.

Explores canonical basis, linear mapping, and eigenvalues in linear algebra.

Explores eigenvalues and eigenvectors in matrices through examples and calculations.

Explains eigenvalues and eigenvectors, focusing on real solutions and their properties.

Explores linear combinations of vectors and matrices in Rn, demonstrating geometric interpretations and matrix operations.

Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.

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