Matrix Inverse

Understanding Matrix Inverse

In the set of real numbers, every non-zero number $a$ has a reciprocal, which is the number $a^{-1}$, satisfying the property $a \cdot a^{-1} = a^{-1} \cdot a = 1$. A similar concept applies to matrices.

If $A$ is a square matrix (e.g., of order $n \times n$) and $I$ is the identity matrix of the same order, then the inverse of matrix $A$, denoted as $A^{-1}$, is a matrix that satisfies the property:

The identity matrix $I$ is a square matrix where all main diagonal elements are 1 and all other elements are 0. For example, for a 2x2 order: $I = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}$.

Nonsingular and Singular Matrices

Not all square matrices have an inverse. A matrix $A$ has an inverse if and only if the determinant of the matrix is not equal to zero ($\det(A) \neq 0$ or $|A| \neq 0$).

• Matrix $A$ is called a nonsingular matrix if $\det(A) \neq 0$. A nonsingular matrix always has an inverse.
• Matrix $A$ is called a singular matrix if $\det(A) = 0$. A singular matrix does not have an inverse.

Inverse of a 2x2 Matrix

For a 2x2 matrix $A$, let:

The inverse of matrix $A$ can be found using the following formula, provided that $\det(A) \neq 0$:

Let's understand each component of this formula:

1. Determinant of Matrix A ($\det(A)$ or $|A|$):

   Calculated as:

   $$|A| = ad - bc$$

2. Adjoint of Matrix A ($\text{Adj}(A)$):

   Obtained by swapping the main diagonal elements and changing the sign of the other diagonal elements:

   $$\text{Adj}(A) = \begin{bmatrix} d & -b \\ -c & a \end{bmatrix}$$

So, the complete formula for the inverse of a 2x2 matrix is:

Example of Inverse of a 2x2 Matrix

Find the inverse of matrix $P = \begin{bmatrix} 3 & -7 \\ -1 & 2 \end{bmatrix}$.

Solution:

Step 1: Identify the elements of matrix $P$.

Step 2: Calculate the determinant of matrix $P$.

Since $\det(P) \neq 0$, matrix $P$ has an inverse.

Step 3: Determine the adjoint of matrix $P$.

Step 4: Calculate the inverse of matrix $P$.

Thus, the inverse of matrix $P$ is $P^{-1} = \begin{bmatrix} -2 & -7 \\ -1 & -3 \end{bmatrix}$.

Inverse of a 3x3 Matrix

The basic concept for finding the inverse of a 3x3 matrix is the same as for a 2x2 matrix, i.e., using the formula:

However, the calculation of the determinant ($\det(A)$) and adjoint ($\text{Adj}(A)$) for a 3x3 matrix is more complex.

• The determinant of a 3x3 matrix can be calculated using Sarrus's rule or the cofactor expansion method.
• The adjoint of a 3x3 matrix is obtained from the transpose of its cofactor matrix.

An in-depth discussion on how to calculate the determinant and adjoint of a 3x3 matrix will usually be studied separately as it involves more steps.

Properties of Matrix Inverse

One important use of the matrix inverse is to solve systems of linear equations. If a system of linear equations can be expressed in matrix multiplication form:

where $A$ is the coefficient matrix, $X$ is the variable matrix, and $B$ is the constant matrix. If matrix $A$ has an inverse ($A^{-1}$), then the solution for $X$ can be found by:

This is a very useful property in various mathematical and engineering applications.

Exercises

Given matrices $X = \begin{bmatrix} 1 & -3 \\ -1 & 4 \end{bmatrix}$ and $Y = \begin{bmatrix} -4 & 2 \\ 3 & -2 \end{bmatrix}$.

1. Determine matrices $X^{-1}$ and $Y^{-1}$.
2. Determine matrix $X^{-1} + Y^{-1}$.
3. Determine matrix $(X+Y)^{-1}$.
4. Is matrix $X^{-1} + Y^{-1}$ equal to matrix $(X+Y)^{-1}$? Explain your answer.

Answer Key

1. Determining $X^{-1}$:

   $$X = \begin{bmatrix} 1 & -3 \\ -1 & 4 \end{bmatrix}$$

   $$\det(X) = (1)(4) - (-3)(-1) = 4 - 3 = 1$$

   $$\text{Adj}(X) = \begin{bmatrix} 4 & 3 \\ 1 & 1 \end{bmatrix}$$

   $$X^{-1} = \frac{1}{1} \begin{bmatrix} 4 & 3 \\ 1 & 1 \end{bmatrix} = \begin{bmatrix} 4 & 3 \\ 1 & 1 \end{bmatrix}$$

   Determining $Y^{-1}$:

   $$Y = \begin{bmatrix} -4 & 2 \\ 3 & -2 \end{bmatrix}$$

   $$\det(Y) = (-4)(-2) - (2)(3) = 8 - 6 = 2$$

   $$\text{Adj}(Y) = \begin{bmatrix} -2 & -2 \\ -3 & -4 \end{bmatrix}$$

   $$Y^{-1} = \frac{1}{2} \begin{bmatrix} -2 & -2 \\ -3 & -4 \end{bmatrix} = \begin{bmatrix} -1 & -1 \\ -3/2 & -2 \end{bmatrix}$$

2. Determining $X^{-1} + Y^{-1}$:

   $$X^{-1} + Y^{-1} = \begin{bmatrix} 4 & 3 \\ 1 & 1 \end{bmatrix} + \begin{bmatrix} -1 & -1 \\ -3/2 & -2 \end{bmatrix} = \begin{bmatrix} 4-1 & 3-1 \\ 1-3/2 & 1-2 \end{bmatrix} = \begin{bmatrix} 3 & 2 \\ -1/2 & -1 \end{bmatrix}$$

3. Determining $(X+Y)^{-1}$:

   First, calculate $X+Y$:

   $$X+Y = \begin{bmatrix} 1 & -3 \\ -1 & 4 \end{bmatrix} + \begin{bmatrix} -4 & 2 \\ 3 & -2 \end{bmatrix} = \begin{bmatrix} 1-4 & -3+2 \\ -1+3 & 4-2 \end{bmatrix} = \begin{bmatrix} -3 & -1 \\ 2 & 2 \end{bmatrix}$$

   Let $Z = X+Y = \begin{bmatrix} -3 & -1 \\ 2 & 2 \end{bmatrix}$. Now, calculate $Z^{-1}$:

   $$\det(Z) = (-3)(2) - (-1)(2) = -6 - (-2) = -6 + 2 = -4$$

   $$\text{Adj}(Z) = \begin{bmatrix} 2 & 1 \\ -2 & -3 \end{bmatrix}$$

   $$(X+Y)^{-1} = Z^{-1} = \frac{1}{-4} \begin{bmatrix} 2 & 1 \\ -2 & -3 \end{bmatrix} = \begin{bmatrix} -2/4 & -1/4 \\ 2/4 & 3/4 \end{bmatrix} = \begin{bmatrix} -1/2 & -1/4 \\ 1/2 & 3/4 \end{bmatrix}$$

4. Comparison of $X^{-1} + Y^{-1}$ and $(X+Y)^{-1}$:

   From the calculations:

   $$X^{-1} + Y^{-1} = \begin{bmatrix} 3 & 2 \\ -1/2 & -1 \end{bmatrix}$$

   $$(X+Y)^{-1} = \begin{bmatrix} -1/2 & -1/4 \\ 1/2 & 3/4 \end{bmatrix}$$

   Clearly, $X^{-1} + Y^{-1} \neq (X+Y)^{-1}$. This shows that the inverse of the sum of two matrices is generally not equal to the sum of their individual inverses.

   This property differs from some algebraic operations on real numbers.