Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Linear Applications: Definitions and Matrices
Graph Chatbot
Related lectures (44)
Linear Algebra: Subspaces and Transformations
Explores subspaces in linear algebra and transformations, including kernels and images of linear transformations.
Linear Applications in 3D: Rank Theorem
Explains the Rank Theorem for linear applications in 3D space and its implications.
Linear Transformations: Matrices and Kernels
Covers linear transformations, matrices, kernels, and properties of invertible matrices.
Linear Algebra: Image and Kernel Revisited
MOOC: Linear Algebra (Part 2)
Revisits bases of the image and kernel in linear algebra, focusing on linear transformations between finite-dimensional vector spaces.
Rank Theorem: Part 2
MOOC: Linear Algebra (Part 2)
Delves into the Rank Theorem's implications for linear transformations and mappings.
Linear Transformations in 3D
MOOC: Linear Algebra (Part 2)
Explores linear transformations in 3D space using matrices and their applications.
Matrix Representations of Linear Applications
Explores matrix representations of linear applications, including change of basis and invariants.
Linear Transformations in R³
Covers operations on linear applications in R³, including composition, addition, and determinants.
Linear Transformations: Matrices and Applications
Log in to Mediaspace to watch this video
Covers linear transformations using matrices, focusing on linearity, image, and kernel.
Linear Transformations: Matrices and Bases
Log in to Mediaspace to watch this video
Covers the determination of matrices associated with linear transformations and explores the kernel and image concepts.
Linear Transformations: Injective and Surjective
Log in to Mediaspace to watch this video
Explores injective and surjective linear transformations, kernel, image, and matrix operations.
Linear Mapping Basics
Log in to Mediaspace to watch this video
Covers the basics of linear mapping and coordinate systems.
Linear Algebra: Lecture Notes
Log in to Mediaspace to watch this video
Covers determining vector spaces, calculating kernels and images, defining bases, and discussing subspaces and vector spaces.
Linear Transformations: Kernel and Image
Log in to Mediaspace to watch this video
Covers the concepts of kernel and image of a linear transformation and their relationship with the rank of the matrix.
Linear Algebra: Rank Theorem
Log in to Mediaspace to watch this video
Explores the Rank Theorem in linear algebra, covering matrix properties and determinants.
Linear Algebra: Applications and Bases
Log in to Mediaspace to watch this video
Explores unique solutions, linear dependence, canonical bases, and linear maps in linear algebra.
Linear Applications: Bases and Dependencies
Log in to Mediaspace to watch this video
Explores forming bases, dependencies, and relationships in linear applications using invertible matrices and canonical bases.
Linear Applications: Kernel and Image
Log in to Mediaspace to watch this video
Covers the concepts of kernel and image of a linear application in linear algebra.
Linear Algebra Basics
Log in to Mediaspace to watch this video
Covers the basics of linear algebra, including linear maps, bases, and matrix operations.
Linear Transformations: Kernels and Images
Log in to Mediaspace to watch this video
Covers kernels and images of linear transformations between vector spaces.
Previous
Page 1 of 3
Next