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Lecture
Linear Combinations and Vector Spaces
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Related lectures (29)
Vector Spaces: Properties and Operations
Covers the properties and operations of vector spaces, including addition and scalar multiplication.
Linear Algebra: Abstract Concepts
Introduces abstract concepts in linear algebra, focusing on operations with vectors and matrices.
Polynomials: Operations and Properties
Explores polynomial operations, properties, and subspaces in vector spaces.
Vector Spaces: Properties and Examples
Explores vector spaces, focusing on properties, examples, and subspaces within a practical exercise on polynomials.
Vector Spaces: Examples and Subspaces
Covers examples of vector spaces and the concept of subspaces, emphasizing key properties and verification methods.
Vector Spaces: Definitions and Applications
Introduces vector spaces, subspaces, linear maps, and evaluation maps, with examples and exercises for better comprehension.
Linear Algebra: Vector Spaces and Linear Independence
Covers vector spaces, operations, and linear independence with examples from polynomials and functions.
Linear Combinations: Basics
Introduces linear combinations of vectors in R^n and their properties.
Vector Spaces: Definitions and Properties
Covers the definitions and properties of vector spaces, including axioms and examples.
Linear Transformations: Matrices and Bases
Covers the method to calculate the images of vectors in a given base.
Vector Spaces: Definitions and Examples
Covers the definition and examples of vector spaces, including subspaces and linear transformations.
Vector Spaces: Properties and Examples
Covers the definition and properties of vector spaces, along with examples like Euclidean spaces and matrix spaces.
Linear Algebra: Bases and Dimension
Explores linear independence, bases, and dimension in vector spaces with examples involving matrices and polynomials.
Vector Spaces and Linear Applications
Covers vector spaces, subspaces, kernel, image, linear independence, and bases in linear algebra.
Introduction to Vector Spaces
Introduces the concept of vector spaces and covers properties of vectorial subspaces.
Analyse 2: Division euclidienne
Explores the process of division euclidienne in polynomials, emphasizing the importance of polynomial degrees during operations.
Linear Transformations: Polynomials and Bases
Covers linear transformations between polynomial spaces and explores examples of linear independence and bases.
Vector Spaces: Definition, R2
Introduces vector spaces with binary addition and scalar multiplication, exploring geometric examples in R2.
Change of Basis: Matrices and Transformations
Explores changing bases in vector spaces using matrices and the significance of preserving structure within vector spaces.
Polynomials, Division, and Ideals
Explores polynomials, their operations, and the concept of ideals in polynomial rings.
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