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US$15
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Duration: 1 Year
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Delivery mode: Online
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Group size: Individual
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Instruction language:
French,
English
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Certificate provided:
No
**Table of Contents**
1. Polynomials and Rational Fractions
1.1 Polynomials
1.1.1 Definitions
1.1.2 Structure of the Set of Polynomials
1.1.3 Euclidean Division by Decreasing Powers
1.1.4 Root of a Polynomial, Order of Multiplicity
1.1.5 Factorization of Polynomials with Real Coefficients
1.1.6 Euclidean Division by Increasing Powers
1.2 Rational Fractions
1.2.1 Generalities
1.2.2 Decomposition of a Rational Fraction into Simple Elements
1.2.3 Decomposition of a Rational Fraction into Second-Type Simple Elements
1.3 Exercises
2. Vector Spaces
2.1 Introduction to Groups
2.2 Vector Space
2.3 Subspace of a Vector Space
2.3.1 Definitions
2.3.2 Subspace Generated by a Subset of a Vector Space
2.3.3 Basis of a Vector Space
2.3.4 Direct Sum of Subspaces
2.4 Exercises
3. Linear Applications
3.1 Definitions and Vocabulary
3.2 Elementary Properties
3.3 Image and Kernel of a Linear Application
3.4 Finite Dimension Case: Rank Theorem
3.4.1 Rank Theorem and Its Applications
3.5 Exercises
4. Matrix Calculus
4.1 Matrix Operations
4.1.1 Definitions
4.1.2 (Mn,p(K), +,·) as a K-Vector Space
4.1.3 Properties of Matrix Multiplication
4.2 Exercises
5. Matrices and Linear Applications
5.1 Matrices and Linear Applications
5.1.1 Matrix of a Vector Family in a Basis
5.1.2 Matrix of a Linear Application in a Pair of Bases
5.1.3 Coordinates of the Image of a Vector by a Linear Application
5.2 Basis Changes
5.2.1 Transition Matrix from One Basis to Another
5.2.2 Effects of Basis Change(s)
5.2.3 Equivalent Matrices and Similar Matrices
5.2.4 Similar Matrices
5.3 Trace of a Matrix, of an Endomorphism
5.3.1 Trace of a Square Matrix
5.3.2 Trace of an Endomorphism
5.4 Kernel, Image, and Rank of a Matrix
5.4.1 Kernel, Image, and Rank of a Matrix
5.4.2 Rank Calculation Using Pivot Method
5.5 Exercises
6. Reduction of Endomorphisms
6.1 Diagonalization
6.1.1 Eigenvalue, Eigenvector
6.1.2 Characteristic Polynomial
6.1.3 Study of Eigen Spaces
6.1.4 Diagonalizable Endomorphisms
6.2 Triangularizable Endomorphisms
6.3 Polynomial of Endomorphisms, Minimal Polynomial
6.4 Minimal Polynomial
6.5 Cayley-Hamilton Theorem
6.6 Diagonalization Using the Minimal Polynomial
6.7 Simultaneous Diagonalization
6.8 Exercises