Problem 4
Question
Evaluate each \(2 \times 2\) determinant by using Definition 11.1. \(\left|\begin{array}{rr}5 & 3 \\ 6 & -1\end{array}\right|\)
Step-by-Step Solution
Verified Answer
The determinant is -23.
1Step 1: Set Up the Determinant Formula
For a given \(2 \times 2\) matrix \(\left|\begin{array}{cc} a & b \ c & d \end{array}\right|\), the determinant is found using the formula: \(ad - bc\).
2Step 2: Identify Elements of the Matrix
Identify the elements of the given matrix: \(a = 5\), \(b = 3\), \(c = 6\), and \(d = -1\).
3Step 3: Substitute into the Determinant Formula
Substitute the values into the determinant formula: \(5(-1) - 3(6)\).
4Step 4: Calculate the Determinant
Calculate the expression from Step 3: \(5(-1) - 3(6) = -5 - 18 = -23\).
Key Concepts
Matrix OperationsDeterminant FormulaLinear AlgebraMatrix Theory
Matrix Operations
Matrix operations are a fundamental part of linear algebra that involve various manipulations of matrices. These operations include addition, subtraction, multiplication, and finding determinants. Each operation has specific rules:
- Addition/Subtraction: Matrices must be of the same size. Corresponding elements are added or subtracted.
- Multiplication: To multiply two matrices, the number of columns in the first matrix must equal the number of rows in the second. The resulting matrix has dimensions equal to the number of rows in the first matrix and columns in the second.
- Determinants: A number that provides important properties of a matrix, critical in solving systems of linear equations, among other applications.
Determinant Formula
The determinant of a matrix is a special number that can provide insights into the matrix's properties. For a simple \(2 \times 2\) matrix, the determinant is straightforward to calculate. Here's how:
- Given a matrix \(\left|\begin{array}{cc} a & b \ c & d \end{array}\right|\), the formula is \(ad - bc\).
- This formula uses the multiplying of elements on the diagonal (top left to bottom right) subtracting the product of elements on the other diagonal.
Linear Algebra
Linear algebra is a branch of mathematics centered around vectors, vector spaces, and linear equations. Some of its core applications include:
- Solving systems of linear equations efficiently.
- Understanding geometric concepts like lines and planes in higher dimensions.
- Working with vectors to describe physical phenomena in engineering and physics.
Matrix Theory
Matrix theory examines the properties and applications of matrices in mathematics. It's an essential part of understanding more advanced mathematical and computational problems:
- Matrices are used to represent and solve linear equations.
- They are core to many algorithmic processes in computer science, from graphics to artificial intelligence.
- Matrix theory helps in exploring transformations, such as rotations and scaling in geometry.
Other exercises in this chapter
Problem 4
Find the partial fraction decomposition for each rational expression. See answers below. \(\frac{-2 x+32}{x^{2}-4}\)
View solution Problem 4
Use Cramer's rule to find the solution set for each system. If the equations are dependent, simply indicate that there are infinitely many solutions. \(\left(\b
View solution Problem 4
Indicate whether each matrix is in reduced echelon form. \(\left[\begin{array}{lll:r}1 & 0 & 0 & 5 \\ 0 & 3 & 0 & 8 \\ 0 & 0 & 1 & -11\end{array}\right]\)
View solution Problem 4
Use the graphing approach to determine whether the system is consistent, the system in inconsistent, or the equations are dependent. If the system is consistent
View solution