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Related lectures (28)
Composition of Applications in Mathematics
Explores the composition of applications in mathematics and the importance of understanding their properties.
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Linear Algebra: Matrix Representation
Explores linear applications in R² and matrix representation, including basis, operations, and geometric interpretation of transformations.
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Linear Algebra: Matrices Properties
Explores properties of 3x3 matrices with real coefficients and determinant calculation methods.
Cartesian Product and Induction
Introduces Cartesian product and induction for proofs using integers and sets.
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Concept of Proof in Mathematics
Delves into the concept of proof in mathematics, emphasizing the importance of evidence and logical reasoning.
Linear Algebra: Matrices and Operations
Introduces key concepts in linear algebra, including matrices, operations, and numerical invariants.
Orthogonality and Least Squares
Introduces orthogonality between vectors, angles, and orthogonal complement properties in vector spaces.
Seifert van Kampen: proof and identification
Covers the proof and identification of isomorphisms in the Seifert van Kampen theorem.
Linear Algebra: Multilinear Groin and Determinants
Explores multilinear groin and determinants, including the Sarrus rule and proof by induction.
Linear Mapping Basics
Covers the basics of linear mapping and coordinate systems.
Matrix Operations: Definitions and Properties
Covers the definitions and properties of matrices, including matrix operations and determinants.
Matrix Inversion: Basics and Properties
Covers the basics of matrix inversion, properties of matrix multiplication, and the uniqueness of matrix inverses.
Linear Algebra: Matrices and Operations
Covers the definition of 3x3 matrices, determinants, matrix operations, and invertibility.
Matrix Representations: Linear Maps
Explores matrix representations of linear maps and their invariance, using examples and special cases.
Matrix Similarity and Diagonalization
Explores matrix similarity, eigenvalues, and diagonalization in linear algebra.
Calculs and Algorithms for Determinant
Covers calculations and algorithms for determining the determinant of a matrix, including permuting rows and multiplying by coefficients.
Matrix Operations: Inverse and Reduction to Echelon Form
Covers matrix operations and reduction to echelon form with practical examples.
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