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Lecture
Linear Applications: Definitions and Matrices
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Related lectures (27)
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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.
Linear Applications: Matrices and Transformations
Covers linear applications, matrices, transformations, and the principle of superposition.
Dimension Calculation in Linear Algebra
Covers the calculation of dimensions in linear algebra, focusing on determining the dimension of the kernel of a given matrix.
Matrix Representations of Linear Applications
Explores matrix representations of linear applications, including change of basis and invariants.
Vector Spaces: Operations and Linear Transformations
Explores vector space operations, linear transformations, matrix representation, and linear applications.
Linear Transformation: Matrix Determination and Subspaces
Covers the determination of a matrix associated with a linear transformation and the concepts of kernel and image.
Linear Transformations in R³
Covers operations on linear applications in R³, including composition, addition, and determinants.