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# Introduction

Matrices are very important and indispensable in handling system of linear equations which arise as mathematical models of real-world problems.

Applications of Matrices and Determinants

â€śThe greatest mathematicians, as Archimedes, Newton, and Gauss,

always united theory and applications in equal measure.â€ť

-Felix Klein

## Introduction

Matrices are very important and indispensable in handling system of linear equations which arise as mathematical models of real-world problems. Mathematicians Gauss, Jordan, Cayley, and Hamilton have developed the theory of matrices which has been used in investigating solutions of systems of linear equations.

In this chapter, we present some applications of matrices  in solving system of linear equations. To be specific, we study four methods,  namely  (i)  Matrix  inversion  method,  (ii)  Cramerâ€™s  rule (iii) Gaussian elimination method, and (iv) Rank method. Before knowing these methods, we introduce the following: (i) Inverse of a non-singular square matrix, (ii) Rank of a matrix, (iii) Elementary row and column  transformations, and (iv) Consistency of system of linear equations. ## Learning Objectives

Upon completion of this chapter, students will be able to

â—Ź      Demonstrate a few fundamental tools for solving systems of linear equations:

Ěµ        Adjoint of a square matrix

Ěµ        Inverse of a non-singular matrix

Ěµ        Elementary row and column operations

Ěµ        Row-echelon form

Ěµ        Rank of a matrix

â—Ź      Use row operations to find the inverse of a non-singular matrix

â—Ź      Illustrate the following techniques in solving system of linear equations by

Ěµ        Matrix inversion method

Ěµ        Cramerâ€™s rule

Ěµ        Gaussian elimination method

â—Ź      Test the consistency of system of non-homogeneous linear equations

â—Ź      Test for non-trivial solution of system of homogeneous linear equations

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12th Mathematics : UNIT 1 : Applications of Matrices and Determinants : Introduction | Applications of Matrices and Determinants