Lecture
Linear Transformations: Matrices and Applications
Related lectures (47)
Linear Algebra: Linear Transformations and Matrices
Explores linear transformations, matrices, kernels, and images in algebra.
Matrix Similarity and Diagonalization
Explores matrix similarity, diagonalization, characteristic polynomials, eigenvalues, and eigenvectors in linear algebra.
Linear Applications: Matrices and Transformations
Covers linear applications, matrices, injectivity, surjectivity, and matrix multiplication properties.
Linear Transformations: Polynomials and Bases
Covers linear transformations between polynomial spaces and explores examples of linear independence and bases.
Symmetries of the Wave Equation
Explores the symmetries of the wave equation under Lorentz transformations and the Poincare group.
Linear Applications Overview
Covers the definition of linear applications and their properties, including examples and matrix representation.
Symmetry in Modern Geometry
Delves into modern geometry, covering transformations, isometries, and symmetries.
Linear Transformations: Injective and Surjective
Explores injective and surjective linear transformations, kernel, image, and matrix operations.
Linear Applications: Definitions and Properties
Explores the definition and properties of linear applications, focusing on injectivity, surjectivity, kernel, and image, with a specific emphasis on matrices.
Geometric Transformations in R2 and R3: Visualizations and Rotations
Covers visualizations in orthonormal bases in R2, focusing on rotations and reflections.