Problem 64
Question
Use the determinant to determine whether $$ B=\left[\begin{array}{ll} 1 & 1 \\ 2 & 1 \end{array}\right] $$ is invertible. If it is invertible, compute its inverse. In either case, solve \(B X=\mathbf{0}\).
Step-by-Step Solution
Verified Answer
Matrix B is invertible, with an inverse \( \begin{bmatrix} -1 & 1 \\ 2 & -1 \end{bmatrix} \). The solution to \( B\mathbf{X} = \mathbf{0} \) is \( \mathbf{X} = \begin{bmatrix} 0 \\ 0 \end{bmatrix} \)."
1Step 1: Determine Invertibility Using the Determinant
First, calculate the determinant of matrix \( B \). The determinant of a 2x2 matrix \( \begin{bmatrix} a & b \ c & d \end{bmatrix} \) is given by \( ad - bc \). For matrix \( B \), the determinant is \( (1)(1) - (1)(2) = 1 - 2 = -1 \). Since the determinant is not zero, matrix \( B \) is invertible.
2Step 2: Compute the Inverse of Matrix B
The inverse of a 2x2 matrix \( \begin{bmatrix} a & b \ c & d \end{bmatrix} \) is \( \frac{1}{ad-bc} \begin{bmatrix} d & -b \ -c & a \end{bmatrix} \). For \( B \), substitute the values: \( a = 1 \), \( b = 1 \), \( c = 2 \), \( d = 1 \) and compute the inverse. It becomes \( \frac{1}{-1} \begin{bmatrix} 1 & -1 \ -2 & 1 \end{bmatrix} = \begin{bmatrix} -1 & 1 \ 2 & -1 \end{bmatrix} \).
3Step 3: Solve the System BX=0
Since \( B \) is invertible, the only solution to \( B \mathbf{X} = \mathbf{0} \) is the trivial solution \( \mathbf{X} = \begin{bmatrix} 0 \ 0 \end{bmatrix} \). Use the inverse we found to verify the solution: \( B^{-1}B \mathbf{X} = B^{-1}\mathbf{0} \rightarrow \mathbf{X} = \mathbf{0} \).
Key Concepts
DeterminantInverse of a MatrixTrivial Solution
Determinant
The determinant of a matrix is a scalar value that is crucial in understanding various properties of the matrix, including its invertibility. In simple terms, the determinant gives us a number that summarizes certain properties of a matrix. If a matrix has a non-zero determinant, it is invertible or non-singular. This means that there exists another matrix, called the inverse, which when multiplied by the original matrix, results in the identity matrix.
For a 2x2 matrix, the determinant is calculated using the formula:
For a 2x2 matrix, the determinant is calculated using the formula:
- Determinant = \(ad - bc\), where \(a, b, c,\) and \(d\) are elements of the matrix.
Inverse of a Matrix
The inverse of a matrix is a matrix that, when multiplied with the original matrix, yields the identity matrix. Finding the inverse is essential for solving linear equations and understanding transformations in linear algebra.
For a 2x2 matrix \( \begin{bmatrix} a & b \ c & d \end{bmatrix} \), the inverse is given by:
In the exercise, the inverse of matrix \(B\) is computed using this method, resulting in:
For a 2x2 matrix \( \begin{bmatrix} a & b \ c & d \end{bmatrix} \), the inverse is given by:
- \( \frac{1}{ad-bc} \begin{bmatrix} d & -b \ -c & a \end{bmatrix} \).
In the exercise, the inverse of matrix \(B\) is computed using this method, resulting in:
- Inverse of \(B\) = \( \begin{bmatrix} -1 & 1 \ 2 & -1 \end{bmatrix} \).
Trivial Solution
In linear algebra, when solving equations like \(BX = \mathbf{0}\), where \(B\) is a matrix and \(X\) is a vector, solutions can be either trivial or non-trivial.
A trivial solution is when the vector \(X\) is simply the zero vector. That means every element of \(X\) is zero, such as \( \begin{bmatrix} 0 \ 0 \end{bmatrix} \). This solution is always possible for homogeneous systems, regardless of the matrix's properties.
In the context of the exercise, since matrix \(B\) is invertible, the only solution to \(BX = \mathbf{0}\) is the trivial one. The invertibility of \(B\) ensures there are no non-zero solutions, as verified by calculating \(B^{-1}B\); it leaves us with \(X = \mathbf{0}\). This demonstrates the singular or unique nature of the trivial solution in such cases where the matrix is invertible.
A trivial solution is when the vector \(X\) is simply the zero vector. That means every element of \(X\) is zero, such as \( \begin{bmatrix} 0 \ 0 \end{bmatrix} \). This solution is always possible for homogeneous systems, regardless of the matrix's properties.
In the context of the exercise, since matrix \(B\) is invertible, the only solution to \(BX = \mathbf{0}\) is the trivial one. The invertibility of \(B\) ensures there are no non-zero solutions, as verified by calculating \(B^{-1}B\); it leaves us with \(X = \mathbf{0}\). This demonstrates the singular or unique nature of the trivial solution in such cases where the matrix is invertible.
Other exercises in this chapter
Problem 62
Find the eigenvalues \(\lambda_{1}\) and \(\lambda_{2}\) for $$ A=\left[\begin{array}{ll} a & c \\ 0 & b \end{array}\right] $$
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