Problem 25
Question
In Exercises 25-32, find all (a) minors and (b) cofactors of the matrix. \(\left[ \begin{array}{r} 4 & 5 \\ 3 & -6 \end{array} \right]\)
Step-by-Step Solution
Verified Answer
The minors of the matrix are M11 = -6, M12 = 3, M21 = 5, M22 = 4. The cofactors of the matrix are C11 = 6, C12 = -3, C21 = -5, C22 = 4.
1Step 1: Identify the Matrix Elements
The given matrix is a 2x2 matrix with elements: a11 = 4, a12 = 5, a21 = 3 and a22 = -6.
2Step 2: Find the Minors
For a 2x2 matrix, the minor of any element is just the other number that is not in the same row or column. So, the minors are: \n- Minor of a11: M11 = a22 = -6 \n- Minor of a12: M12 = a21 = 3 \n- Minor of a21: M21 = a12 = 5 \n- Minor of a22: M22 = a11 = 4
3Step 3: Find the Cofactors
The cofactor of any element is found by the formula (-1)^(i+j) * minor. The cofactors are: \n- Cofactor of a11: C11 = (-1)^(1+1) * M11 = 6 \n- Cofactor of a12: C12 = (-1)^(1+2) * M12 = -3 \n- Cofactor of a21: C21 = (-1)^(2+1) * M21 = -5 \n- Cofactor of a22: C22 = (-1)^(2+2) * M22 = 4
Key Concepts
2x2 matrixmatrix elementslinear algebra
2x2 matrix
A 2x2 matrix is a simple yet fundamental structure in linear algebra, consisting of two rows and two columns. Each position within the grid-like structure is occupied by a number, referred to as the matrix element. Consider the 2x2 matrix from the exercise: \[\begin{bmatrix}4 & 5 \3 & -6\end{bmatrix} \]Here, the number "4" is in the first row and first column, making it element \(a_{11}\), "5" is in the first row and second column as \(a_{12}\), and so on. Such matrices are beneficial because they serve as building blocks for larger matrices. They can also represent a multitude of scenarios and data in fields ranging from physics to economics. In computational processes, dealing with a 2x2 matrix is usually straightforward, enabling quick calculations for determinants, inverses, or transformations.
matrix elements
Matrix elements are the individual numbers that make up a matrix. In a 2x2 matrix, there are four such elements. The exercise presents the elements as:
- \(a_{11} = 4\)
- \(a_{12} = 5\)
- \(a_{21} = 3\)
- \(a_{22} = -6\)
linear algebra
Linear algebra is a core branch of mathematics focused on vector spaces and linear equations. It deals with concepts like matrices, determinants, and systems of linear equations, making it integral in various scientific and engineering fields.
In linear algebra, a matrix like our 2x2 example is used to solve systems of linear equations. This is because a matrix can compactly represent these equations, allowing them to be manipulated and solved systematically. For example, to find the minors and cofactors of its elements, we rely on specific steps and conventions inherent in linear algebra.
Understanding these concepts aids in further operations like determining the matrix inverse or performing eigenvalue computations, which have real-world applications, from computer graphics transformations to economic modeling. The principles of linear algebra are foundational, leading to broader and deeper mathematical concepts such as vector spaces and tensor analysis.
Other exercises in this chapter
Problem 24
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