Question:

Matrices when the solution of equations is not defined

Updated On: Jun 24, 2024
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Solution and Explanation

There is no solution when the matrix is inconsistent.
The solution of a system of equations is not defined when the system is inconsistent or the equations are dependent. Let's discuss each case in the context of matrices.
Inconsistent system: An inconsistent system of equations has no solution. In matrix form, this occurs when the system of equations can be represented as an augmented matrix [A|B], where A is the coefficient matrix and B is the constant matrix. If the row-reduced echelon form (RREF) of [A|B] contains a row of the form [0 0 ... 0 | b], where b is a nonzero constant, then the system is inconsistent and has no solution. 
Dependent equations: Dependent equations occur when one equation can be obtained by adding or multiplying other equations in the system. In matrix form, this means that the rows of the augmented matrix [A|B] are linearly dependent. To determine linear dependence, we can row-reduce the augmented matrix to its RREF. If the RREF contains a row of the form [0 0 ... 0 | 0], where the corresponding row in the coefficient matrix A is not all zeros, then the system has dependent equations. In this case, there are infinitely many solutions, as the equations are not providing independent information. 
To summarize, the solution of a system of equations is not defined when: 
The system is inconsistent, and the augmented matrix [A|B] in RREF form contains a row of the form [0 0 ... 0 | b], where b is nonzero. The equations are dependent, and the augmented matrix [A|B] in RREF form contains a row of the form [0 0 ... 0 | 0], where the corresponding row in the coefficient matrix A is not all zeros.
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Concepts Used:

Matrices

Matrix:

A matrix is a rectangular array of numbers, variables, symbols, or expressions that are defined for the operations like subtraction, addition, and multiplications. The size of a matrix is determined by the number of rows and columns in the matrix.

The basic operations that can be performed on matrices are:

  1. Addition of Matrices - The addition of matrices addition can only be possible if the number of rows and columns of both the matrices are the same.
  2. Subtraction of Matrices - Matrices subtraction is also possible only if the number of rows and columns of both the matrices are the same.
  3. Scalar Multiplication - The product of a matrix A with any number 'c' is obtained by multiplying every entry of the matrix A by c, is called scalar multiplication. 
  4. Multiplication of Matrices - Matrices multiplication is defined only if the number of columns in the first matrix and rows in the second matrix are equal. 
  5. Transpose of Matrices - Interchanging of rows and columns is known as the transpose of matrices.