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Related lectures (24)
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Linear Algebra: Vector Spaces
Explores vector spaces, subspaces, bases, and linear combinations in R² and R³, including free and linked families.
Matrix Operations: Determinants and Vector Spaces
Covers strategies for matrix operations and the concept of vector spaces.
Orthogonality and Projection
Covers orthogonality, scalar products, orthogonal bases, and vector projection in detail.
Linear Independence and Bases in Vector Spaces
Explains linear independence, bases, and dimension in vector spaces, including the importance of the order of vectors in a basis.
Linear Independence and Bases
Covers linear independence, bases, and coordinate systems with examples and theorems.
Norms and Orthogonality
Explores norms, orthogonality, and the Pythagorean theorem in vector spaces.
Linear Algebra: Matrices and Vector Spaces
Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.
Hermitian Forms: Definition and Properties
Explores the definition and properties of Hermitian forms in complex vector spaces.
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Orthogonal Projection on Vector Subspace
Explains orthogonal projection on a vector subspace in Euclidean space.