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Lecture
Operations on Linear Applications
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Related lectures (28)
Linear Transformations in R³
Covers operations on linear applications in R³, including composition, addition, and determinants.
Linear Algebra: Matrices Properties
Explores properties of 3x3 matrices with real coefficients and determinant calculation methods.
Matrix Operations: Definitions and Properties
Covers the definitions and properties of matrices, including matrix operations and determinants.
Characteristic Polynomials and Similar Matrices
Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.
Geometric Transformations in R2 and R3
Explores geometric transformations in R2 and R3, including linear transformations, projections, matrices, and trace properties.
Linear Algebra: Basis and Matrices
Covers the concept of basis, linear transformations, matrices, inverses, determinants, and bijective transformations.
Matrix Representations: Linear Maps
Explores matrix representations of linear maps and their invariance, using examples and special cases.
Linear Algebra: Matrices and Linear Applications
Covers matrices, linear applications, vector spaces, and bijective functions.
Characterization of Invertible Matrices
Explores the properties of invertible matrices, including unique solutions and linear independence.
Linear Algebra: Reduction of Linear Application
Covers the reduction of a linear application and finding corresponding reduced forms and bases.
Linear Algebra: Rank Theorem
Explores the Rank Theorem in linear algebra, covering matrix properties and determinants.
Linear Algebra: Compositions of Applications
Explores compositions of applications and injectivity conditions in linear algebra, including restriction of applications and combinatorial proof of injections.
Linear Transformations: Injective and Surjective
Explores injective and surjective linear transformations, kernel, image, and matrix operations.
Linear Algebra: Multilinear Groin and Determinants
Explores multilinear groin and determinants, including the Sarrus rule and proof by induction.
Linear Applications: Matrices and Transformations
Covers linear applications, matrices, transformations, and the principle of superposition.
Determinants of Matrices: Properties and Applications
Explores the properties and applications of determinants of matrices in linear algebra.
Linear Algebra: Matrices and Inverses
Explores matrices, inverses, and their applications in linear algebra, emphasizing composition and transformation properties.
Linear Algebra in 3D: Determinants and Inverses
Explores determinants in 3D space and their role in linear algebra.
Matrix Calculus: Rank and Decomposition
Covers matrix rank, determinant, and decomposition in linear algebra.
Eigenvalues and Eigenvectors in 3D
Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.
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