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Visualizing Fourth Dimension
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Related lectures (42)
Linear Applications: Examples and Generalities
MOOC: Linear Algebra (Part 2)
Covers various examples and general concepts related to linear applications in algebra.
Endomorphisms: Matrix Equivalence
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Explores endomorphisms, matrix equivalence, and the adjoint map as a group homomorphism.
Linear Applications in Vector Spaces
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Discusses linear applications between vector spaces and properties of endomorphisms and automorphisms.
Linear Applications: Definitions and Properties
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Explores the definition and properties of linear applications, focusing on injectivity, surjectivity, kernel, and image, with a specific emphasis on matrices.
Linear Transformations: Isomorphism and Dimension
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Covers isomorphism, dimension, bases, and rank in linear transformations between vector spaces.
Vector Spaces: Linear Applications and Generators
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Introduces vector spaces, linear applications, generators, and dimensionality in mathematics.
Linear Transformations: Dimension Theorems
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Covers dimension theorems for linear transformations, bijectivity, isomorphism, dual spaces, and canonical applications.
Linear Algebra: Matrices and Vector Spaces
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Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.
Linear Transformations: Kernels and Images
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Covers kernels and images of linear transformations between vector spaces, illustrating properties and providing proofs.
Linear Transformations: Matrices and Bases
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Covers the determination of matrices associated with linear transformations and explores the kernel and image concepts.
Linear Applications and Span
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Introduces linear applications, span, kernels, and images in vector spaces with illustrative examples and theorems.
Linear Algebra: Lecture Notes
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Covers determining vector spaces, calculating kernels and images, defining bases, and discussing subspaces and vector spaces.
Linear Forms in Vector Spaces
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Covers the definition and properties of linear forms in vector spaces, including generating families and direct sums.
Linear Transformations: Kernels and Images
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Covers kernels and images of linear transformations between vector spaces.
Linear Mapping and Bases
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Explores linear mapping, isomorphism, and change of bases in vector spaces.
Linear Transformations: Matrices and Bases
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Covers the method to calculate the images of vectors in a given base.
Linear Independence: Definition and Examples
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Explores the concept of linear independence in vector spaces through definitions and illustrative examples.
Vector Spaces: Generating Families and Isomorphisms
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Discusses generating families in vector spaces and conditions for linked or free families.
Vector Spaces: Bases and Dimension
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Explores vector spaces, bases, and dimensions, including properties and proofs.
Matrix Dimension Calculation
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Explains how to calculate the dimension of a kernel of a matrix transpose.
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