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Matrix Algebra and Rank

149.00

Validity: 45 days | Duration: 6hrs 43mins

Boost your engineering skills with Matrix Algebra and Rank. A compact course for UG students in India. Reinforce learning with hands-on examples


This module covers both algebraic and graphical approaches to evaluating the characteristics of matrices. A detailed account on row/column reductions to Echelon form and hence Rank of a matrix and its graphical understanding. LU decomposition is discussed as a special case of matrix-matrix multiplication. Significant number of model questions paper problems have been solved to give a comprehensive understanding of the examiner’s perspective.

Salient features of this module are:

  • Pre-requisites to Fundamental Matrix Theory
  • Graphical visualization
  • Concept testing
  • Unravelling examiners mind
  • Model question paper

Course Contents: 

Pre-requisites to Matrix Algebra and Rank

  • Types of Matrices
    • Types of Matrices – Part 1
    • Types of Matrices – Part 2
    • Types of Matrices – Part 3
  • Understanding Determinant
    • Determinant of a 3×3 matrix
    • Determinant of a 4×4 matrix
  • Vector Algebra for Matrix Multiplication
    • Dot and Cross Product – Part 1
    • Dot and Cross Product – Part 2
  • Graphical Perspection of a Determinant
    • Perspective – 1
    • Perspective – 2
  • Inverse of a Matrixe
    • Introduction – 2X2 – Matrix
    • Example – 2X2 – Matrix
    • General procedure and Incidental facts – 3X3 Matrix
    • Observations
    • Applications
  • Matrix-Vector Multiplication
    • Introduction – Perspective 1 – Linear Algebra
    • Introduction – Perspective 2 – Linear Algebra
    • Quiz 1
    • Quiz 2
    • Quiz 3
  • Matrix-Matrix Multiplication
    • Introduction – Perspective – Linear Algebra
    • Introduction – Alternate Method
    • Quiz 1
    • Quiz 2
    • Quiz 3
    • Quiz 4
    • Quiz 5

Matrix algebra & Rank

  • Rank of a Matrix
    • Concept of Rank – (Basis definition of Rank)
    • Concept of Rank – (Linearly dependent and independent vectors)
    • Concept of Rank – (Graphical Understanding – 1)
    • Linear Algebra – (Rank – Graphical Understanding – 2)
    • Linear Algebra – (Rank – Linear Algebra/Transformation Perspective)
    • Linear Algebra – (Final observations/conclusions)
    • Rank/Row and Column Reduction – Problems: (problem 1 – Row reduction)
    • Rank/Row and Column Reduction – Problems: (problem 2 – Column reduction)
    • Rank/Row and Column Reduction – (Understanding the Echelon and observations)
    • Rank/Row and Column Reduction – (Understanding the Echelon and Normal form of a matrix)
    • Rank/Echelon form – Problems: (Problem 1)
    • Rank/Echelon form – Problems: (Problem 2)
    • Rank/Echelon form – Problems: (Problem 3)
    • Rank/Echelon form – Problems: (Problem 4)
    • Rank/Echelon form – Problems: (Problem 5)
    • Rank/Echelon form – Problems: (Problem 6)
    • Rank/Echelon form – Problems: (Problem 7)
    • Rank/Echelon form – Problems: (Problem 8)

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