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Lecture
Multilinear Forms: Definitions and Properties
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Related lectures (34)
Linear Algebra: Multilinear Groin and Determinants
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Explores multilinear groin and determinants, including the Sarrus rule and proof by induction.
Differentiability: Partial Derivatives and Hessiennes
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Explains partial derivatives, Hessienne matrix, and their properties.
Symmetric Matrices: Diagonalization
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Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.
Bilinear Forms
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Covers bilinear forms in vector spaces, their properties, orthogonality, and equivalence conditions.
Tucker Decomposition: Multilinear rank and applications in data compression
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Covers the Tucker decomposition and its applications in data compression, explaining the notion of multilinear rank and the HOSVD method.
Tensors: Motivations and Introduction
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Covers the basics of tensors, including their definition, properties, and decomposition, starting with a motivating example involving Gaussian distributions.
Distributions and Derivatives
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Covers distributions, derivatives, convergence, and continuity criteria in function spaces.
Tensor Products of Modules
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Covers tensor algebras, symmetric and exterior algebras, and tensor products of modules.
Matrix Diagonalization: Spectral Theorem
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Covers the process of diagonalizing matrices, focusing on symmetric matrices and the spectral theorem.
What is a (sub)manifold
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Introduces the concept of a submanifold in a linear space, defining it as a set smoothly embedded in the space.
Linear Algebra: Applications and Bases
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Explores unique solutions, linear dependence, canonical bases, and linear maps in linear algebra.
Systems: Properties and Behavior
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Covers the fundamental properties of systems in discrete and continuous time domains.
Linear Applications: Basis and Independence
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Covers linear independence, bases of vectors, and solving systems using matrices.
Steinitz Lemma and Cycles
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Explores the Steinitz Lemma and the concept of cycles in linear algebra.
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