Problem 55
Question
Use the determinant to determine whether the matrix $$ A=\left[\begin{array}{ll} 4 & -1 \\ 8 & -2 \end{array}\right] $$ is invertible.
Step-by-Step Solution
Verified Answer
The matrix is not invertible because its determinant is 0.
1Step 1: Identify the Matrix Elements
The given matrix \( A \) is a 2x2 matrix. For this matrix, \( a = 4 \), \( b = -1 \), \( c = 8 \), and \( d = -2 \).
2Step 2: Calculate the Determinant
For a 2x2 matrix \( \begin{bmatrix} a & b \ c & d \end{bmatrix} \), the determinant is calculated using the formula \( ad - bc \). Substitute the values: \( 4\times(-2) - (-1)\times8 = -8 + 8 = 0 \).
3Step 3: Apply the Determinant Rule for Invertibility
A matrix is invertible if its determinant is not equal to zero. Since the determinant of matrix \( A \) is 0, the matrix is not invertible.
Key Concepts
Understanding a 2x2 MatrixDeterminant Calculation Made SimpleLinear Algebra: The Bigger Picture
Understanding a 2x2 Matrix
A 2x2 matrix is one of the most fundamental elements in linear algebra. It consists of four numbers arranged in a square format, symbolized as a matrix. The general form of a 2x2 matrix is written as: \[\begin{bmatrix} a & b \ c & d \end{bmatrix}\]where \( a, b, c, \) and \( d \) are the elements of the matrix. These elements are placeholders for actual numbers, giving the matrix its unique properties.
The usefulness of matrices extends across various disciplines, primarily because they help in organizing and manipulating systems of linear equations efficiently.
The usefulness of matrices extends across various disciplines, primarily because they help in organizing and manipulating systems of linear equations efficiently.
- Each row in a matrix can correspond to a different equation in a system.
- Each column can represent a different variable.
Determinant Calculation Made Simple
The determinant of a matrix is a special number that can tell us a lot about the matrix itself, particularly its invertibility. For a 2x2 matrix, calculating the determinant is straightforward and follows a simple formula.
Given a 2x2 matrix \( \begin{bmatrix} a & b \ c & d \end{bmatrix} \), the formula to calculate the determinant is:\[ det(A) = ad - bc \]This means you multiply the diagonal elements (\( a \) and \( d \)), then subtract the product of the off-diagonal elements (\( b \) and \( c \)).
Given a 2x2 matrix \( \begin{bmatrix} a & b \ c & d \end{bmatrix} \), the formula to calculate the determinant is:\[ det(A) = ad - bc \]This means you multiply the diagonal elements (\( a \) and \( d \)), then subtract the product of the off-diagonal elements (\( b \) and \( c \)).
- If the result of \( ad - bc \) is zero, the matrix does not have an inverse.
- If it is any other number, the matrix is invertible.
Linear Algebra: The Bigger Picture
Linear algebra is a branch of mathematics that deals with vectors, vector spaces, and linear transformations. It is foundational for understanding complex mathematical and real-world concepts.
At the heart of linear algebra are matrices and determinants, as these tools help solve systems of linear equations. Here’s why linear algebra is crucial:
At the heart of linear algebra are matrices and determinants, as these tools help solve systems of linear equations. Here’s why linear algebra is crucial:
- Problem Solving: Linear algebra allows mathematicians and scientists to find solutions to complex equations efficiently.
- Practical Applications: This branch of mathematics is used in areas ranging from computation to physics and engineering, demonstrating its vast applicability.
- Conceptual Understanding: It provides insight into various geometric transformations, enabling the rotation or scaling of objects in space.
Other exercises in this chapter
Problem 54
Parameterize the equation of the line given in standard form. $$ x-5 y+7=0 $$
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In Problems , find the eigenvalues \(\lambda_{1}\) and \(\lambda_{2}\) and corresponding eigenvectors \(\mathbf{v}_{1}\) and \(\mathbf{v}_{2}\) for each matrix
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In Problems \(55-58\), find the parametric equation of the line in \(x-\) \(y-z\) space that goes through the indicated point in the direction of the indicated
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In Problems , find the eigenvalues \(\lambda_{1}\) and \(\lambda_{2}\) and corresponding eigenvectors \(\mathbf{v}_{1}\) and \(\mathbf{v}_{2}\) for each matrix
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