Linear Transformations in 3D

Related lectures (30)

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Explores injective and surjective linear transformations, kernel, image, and matrix operations.

Covers the determination of matrices associated with linear transformations and explores the kernel and image concepts.

Covers linear transformations using matrices, focusing on linearity, image, and kernel.

Covers the concepts of kernel and image of a linear transformation and their relationship with the rank of the matrix.

Covers the calculation of dimensions in linear algebra, focusing on determining the dimension of the kernel of a given matrix.

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Explores the Rank Theorem in linear algebra, covering matrix properties and determinants.

Covers the concept of basis, linear transformations, matrices, inverses, determinants, and bijective transformations.

Covers linear applications, matrices, transformations, and the principle of superposition.

Covers the concepts of kernel and image of a linear application in linear algebra.