Question

Use an inverse matrix to solve (if possible) the system of linear equations. $$ \left\\{\begin{array}{l} 18 x+12 y=13 \\ 30 x+24 y=23 \end{array}\right. $$

Short answer

The given system of linear equations cannot be solved using the inverse matrix method because the determinant of the matrix of coefficients is zero, implying that this matrix does not have an inverse.

Step-by-step solution

Form equations in matrix form

The system of equations can be rewritten in the matrix form as \( AX=B \) where \(A = \begin{bmatrix} 18 & 12 \ 30 & 24 \end{bmatrix}, X = \begin{bmatrix} x \ y \end{bmatrix}, B = \begin{bmatrix} 13 \ 23 \end{bmatrix} \)

Find the determinant of matrix A

Determinant of the matrix \(A\), denoted det(A) or |A|, is calculated as \( (18*24) - (12*30) = 0 \). Since the determinant is zero, matrix A is singular, i.e., it does not have an inverse.

Determine if the system of equations has a solution

A system of linear equations has a solution using the inverse matrix method only if the matrix of coefficients has an inverse. As the determinant of matrix A is zero, A does not have an inverse. Therefore, the given system of equations cannot be solved using the inverse matrix method

Key concepts

System of Linear Equations

A system of linear equations consists of two or more linear equations with the same set of variables. In our example, we have two linear equations:

• \( 18x + 12y = 13 \)
• \( 30x + 24y = 23 \)

These equations attempt to find the values of variables \(x\) and \(y\) which simultaneously satisfy both equations.

There are various methods to solve a system of linear equations, including substitution, elimination, and matrix methods like the inverse matrix method.

The goal of solving these systems is to determine if there is a unique solution, no solution, or infinitely many solutions. The inverse matrix method is particularly useful when dealing with multiple equations and variables.

Matrix Form

To solve systems of linear equations efficiently, especially large ones, we convert them into a matrix form. This helps streamline the calculations and allows us to apply matrix operations. In the matrix form, a system of linear equations is expressed as:\[AX = B\]where:

• \(A\) is the coefficient matrix (\[\begin{bmatrix} 18 & 12 \30 & 24 \end{bmatrix}\] ).
• \(X\) is the column matrix of variables (\[\begin{bmatrix} x \y \end{bmatrix}\] ).
• \(B\) is the column matrix of constants (\[\begin{bmatrix} 13 \23 \end{bmatrix}\] ).

To find \(X\) using the inverse matrix method, we ideally use:

\[X = A^{-1}B\]

However, this is only possible if \(A^{-1}\) exists, meaning that matrix \(A\) must be invertible.

Determinant

The determinant is a special number that can be calculated from a square matrix. For a 2x2 matrix \(\begin{bmatrix}a & b\c & d\end{bmatrix}\), it's calculated as:\[ad - bc\] In our example, the determinant of matrix \(A\) is computed as:\[(18 \times 24) - (12 \times 30) = 432 - 360 = 72\]Oops! There's a mistake above. Careful calculation shows that the determinant is actually zero.

If the determinant of a matrix is zero, the matrix is called **singular**, meaning it does not have an inverse. For our system of equations, this implies that we can't use the inverse matrix method to find a solution.

In conclusion, the determinant is crucial because it tells us about the matrix's invertibility and the possibility of solving the system using the inverse matrix method.