Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
What is a (sub)manifold
Graph Chatbot
Related lectures (27)
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.
Smooth Manifolds: Diffeomorphisms
Explores smooth manifolds through diffeomorphisms and embedded submanifolds in a linear space.
Linear Algebra: Matrices and Vector Spaces
Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.
Vector Spaces: Properties and Operations
Covers the properties and operations of vector spaces, including addition and scalar multiplication.
Vector Spaces: Bases and Dimension
Explores bases, dimensions, and matrix ranks in vector spaces with practical examples and proofs.
Lines Spaces and Equivalent Matrices
Covers the concept of lines spaces and equivalent matrices in linear algebra.
Linear Algebra: Subspaces and Transformations
Explores subspaces in linear algebra and transformations, including kernels and images of linear transformations.
Matrix Operations: Linear Systems and Solutions
Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.
Linear Independence and Basis
Explains linear independence, basis, and matrix rank with examples and exercises.
Orthogonality and Subspace Relations
Explores orthogonality between vectors and subspaces, demonstrating practical implications in matrix operations.
Linear Equations and Vector Spaces
Explores solutions of linear equations, null spaces, subspaces, vector spaces, linear independence, bases, and dimensions.
Orthogonality and Projection
Covers orthogonality, scalar products, orthogonal bases, and vector projection in detail.
Kernel, Image and Linear Maps
Explains kernel, image, and linear maps, illustrating concepts with examples.
Linear Equations: Vectors and Matrices
Covers linear equations, vectors, and matrices, exploring their fundamental concepts and applications.
Linear Algebra: Linear Dependence and Independence
Explores linear dependence and independence of vectors in geometric spaces.
Linear Dependence and Independence
Explores linear dependence and independence of vectors, including subspaces generation and corollaries.
Linear Algebra: Vector Spaces
Explores vector spaces, subspaces, bases, and linear combinations in R² and R³, including free and linked families.
Linear Independence: Definition and Examples
Explores the concept of linear independence in vector spaces through definitions and illustrative examples.
Tensor Products and Symmetric Power
Covers tensor products, symmetric power, and exterior power of vector spaces, including properties and applications.
Vector Spaces: Properties and Operations
Explores vector space properties, operations, linear combinations, and subspaces construction.
Previous
Page 1 of 2
Next