Skip to main content
Graph
Search
fr
|
en
Switch to dark mode
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Vector Spaces: Generating Families and Isomorphisms
Graph Chatbot
Related lectures (25)
Previous
Page 1 of 3
Next
Linear Applications: Definitions and Properties
Explores the definition and properties of linear applications, focusing on injectivity, surjectivity, kernel, and image, with a specific emphasis on matrices.
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.
Linear Algebra Basics
Covers the basics of linear algebra, emphasizing the identification of subspaces through key properties.
Kernel, Image and Linear Maps
Explains kernel, image, and linear maps, illustrating concepts with examples.
Linear Independence and Bases
Covers linear independence, bases, and coordinate systems with examples and theorems.
Vector Spaces Equivalence
Explores equivalence in vector spaces, covering conditions for statements to be considered equivalent and properties of algebraic bases.
Vector Spaces: Bases and Dimension
Explores bases, dimensions, and matrix ranks in vector spaces with practical examples and proofs.
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 Algebra: Vector Subspaces and Combinations
Explores vector subspaces and linear combinations in linear algebra, focusing on the reciprocal relationship between lines, columns, and elements.