GateXAIMLMatrices & Linear Algebra
  • Chapter 1: Matrices and Determinants
    • Introduction
    • Types of Matrices
      • Row Matrix
      • Column Matrix
      • Square Matrix
      • Zero Matrix
      • Identity Matrix
      • Diagonal Matrix
      • Triangular Matrix
      • Upper Triangular Matrix
      • Lower Triangular Matrix
    • Matrix Operations
      • Addition
      • Scalar Multiplications
      • Matrix Multiplication
    • Transpose
    • Square Matrices
    • Diagonal and Trace
    • Identity and Scalar Matrices
    • Powers of Matrices
    • Polynomials in Matrices
    • Definition of Determinant
    • Cofactor Expansion
    • Properties of Determinants
    • Invertible (Nonsingular) Matrices
      • Inverse of a $2 \times 2$ Matrix
      • Inverse of an $n \times n$ Matrix
    • Applications of Determinants
    • Special Square Matrices
    • Symmetric and Skew-Symmetric
  • Chapter 2: Rank and Nullity
    • Vectors from Matrices
    • Row Space, Column Space, and Null Space
      • Prerequisites: Echelon Forms
      • Finding the Spaces
      • Example 1: Row, Column, and Null Spaces
      • Example 2: Already in Row Echelon Form
    • Rank of a Matrix
    • Properties of Rank
    • Nullity of a Matrix
    • Rank-Nullity Theorem
    • Applications of Rank and Nullity
  • Chapter 3: Eigenvalues and Eigenvectors
    • Characteristic Polynomial
    • Finding Eigenvalues and Eigenvectors
    • Properties of Eigenvalues and Eigenvectors
    • Diagonalization of Matrices
    • Applications of Eigenvalues and Eigenvectors
  • Chapter 4: Systems of Linear Equations
    • Matrix Representation of Linear Systems
    • Homogeneous and Non-Homogeneous Systems
    • Consistency of Systems
    • Gaussian Elimination
    • Gauss-Jordan Elimination
    • Solution using Inverse of a Matrix
    • Properties and Shortcuts in Linear Systems
    • Applications of Linear Systems
  • Chapter 5: Matrix Factorizations
    • LU Decomposition
    • Applications of LU Factorization
  • Chapter 6: Special Matrices
    • Projection Matrices
    • Orthogonal Matrices
    • Orthogonal
    • Normal
    • Idempotent Matrices
    • Partition (Block) Matrices
    • Properties of Special Matrices
    • Applications of Special Matrices
  • Chapter 7: Summary - Very Important
    • 1. Types of Linear Systems
    • 2. Rank and Nullity
    • 3. Rouché–Capelli Theorem (Consistency)
    • 4. Homogeneous Systems
    • 5. Determinants and Invertibility
    • 6. LU Decomposition
    • 7. Eigenvalues and Eigenvectors
    • 8. Underdetermined and Overdetermined Systems
    • 9. Free Variables and Infinite Solutions
    • 10. Parameter-Dependent Systems
    • 11. Linear Dependence of Columns
    • 12. Key Tricks and Observations
    • Summary
GateXAIML · Matrices & Linear Algebra Concept Notes

Matrices & Linear Algebra

Chapter 1
Matrices and Determinants
30 sections
Introduction, Types of Matrices, Matrix Operations...
Chapter 2
Rank and Nullity
11 sections
Vectors from Matrices, Row Space, Column Space, and Null Space, Rank of a Matrix...
Chapter 3
Eigenvalues and Eigenvectors
5 sections
Characteristic Polynomial, Finding Eigenvalues and Eigenvectors, Properties of Eigenvalues and Eigenvectors...
Chapter 4
Systems of Linear Equations
8 sections
Matrix Representation of Linear Systems, Homogeneous and Non-Homogeneous Systems, Consistency of Systems...
Chapter 5
Matrix Factorizations
2 sections
LU Decomposition, Applications of LU Factorization
Chapter 6
Special Matrices
8 sections
Projection Matrices, Orthogonal Matrices, Orthogonal...
Chapter 7
Summary - Very Important
13 sections
1. Types of Linear Systems, 2. Rank and Nullity, 3. Rouché–Capelli Theorem (Consistency)...
GateXAIML · Matrices & Linear Algebra — Concept Notes
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