If A = \(\left[\begin{array}{cc}2 & −3 \\3 & 5\end{array}\right]\), then which of the following statements are correct? A. A is a square matrix B. A−1 exists C. A is a symmetric matrix D. |A| = 19 E. A is a null matrix Choose the correct answer from the options given below.
A, B, D only
We are given a matrix A and several statements about its properties. We need to evaluate each statement to determine which ones are correct. The given matrix is:
\(A = \left[\begin{array}{cc}2 & -3 \\3 & 5\end{array}\right]\)
A square matrix is a matrix that has the same number of rows as columns. Let's look at the dimensions of matrix A. Matrix A has 2 rows and 2 columns.
Since the number of rows equals the number of columns, matrix A is a square matrix. Therefore, statement A is correct.
The inverse of a matrix, denoted as A⁻¹, exists if and only if the determinant of the matrix is non-zero. That is, \(|A| \neq 0\). To evaluate this statement, we first need to calculate the determinant of A. This relates to statement D.
A symmetric matrix is a square matrix that is equal to its transpose. The transpose of a matrix A, denoted as Aᵀ, is obtained by interchanging its rows and columns. For matrix A = \(\left[\begin{array}{cc}a & b \\c & d\end{array}\right]\), the transpose is Aᵀ = \(\left[\begin{array}{cc}a & c \\b & d\end{array}\right]\).
Let's find the transpose of matrix A:
\(A = \left[\begin{array}{cc}2 & -3 \\3 & 5\end{array}\right]\)
\(A^T = \left[\begin{array}{cc}2 & 3 \\-3 & 5\end{array}\right]\)
For A to be symmetric, A must be equal to Aᵀ. Comparing the elements:
Since -3 is not equal to 3, A is not equal to Aᵀ. Therefore, statement C is incorrect. A is not a symmetric matrix.
The determinant of a 2x2 matrix \(\left[\begin{array}{cc}a & b \\c & d\end{array}\right]\) is calculated as \(ad - bc\).
For matrix A = \(\left[\begin{array}{cc}2 & -3 \\3 & 5\end{array}\right]\), we have \(a=2\), \(b=-3\), \(c=3\), and \(d=5\). Let's calculate the determinant |A|:
\(|A| = (2)(5) - (-3)(3)\)
\(|A| = 10 - (-9)\)
\(|A| = 10 + 9\)
\(|A| = 19\)
So, the determinant of A is indeed 19. Therefore, statement D is correct.
As determined in the evaluation of statement D, the determinant of A is |A| = 19. Since the determinant is non-zero (19 ≠ 0), the inverse of matrix A exists. Therefore, statement B is correct.
A null matrix (or zero matrix) is a matrix in which all elements are zero. For example, a 2x2 null matrix is \(\left[\begin{array}{cc}0 & 0 \\0 & 0\end{array}\right]\). Matrix A is \(\left[\begin{array}{cc}2 & -3 \\3 & 5\end{array}\right]\). Since the elements of A are not all zero, A is not a null matrix. Therefore, statement E is incorrect.
Based on our analysis:
The correct statements are A, B, and D.
| Statement | Evaluation | Correctness |
|---|---|---|
| A. A is a square matrix | Matrix A is 2x2 (rows = columns) | Correct |
| B. A⁻¹ exists | Determinant \(|A|=19 \neq 0\) | Correct |
| C. A is a symmetric matrix | \(A \neq A^T\) | Incorrect |
| D. |A| = 19 | \((2)(5) - (-3)(3) = 19\) | Correct |
| E. A is a null matrix | Elements are not all zero | Incorrect |
The option that lists A, B, and D only is the correct answer.
| Term | Definition | Property |
|---|---|---|
| Square Matrix | A matrix with an equal number of rows and columns. | Required for determinant, inverse (if non-singular), symmetric, skew-symmetric matrices. |
| Inverse Matrix (A⁻¹) | A matrix B such that AB = BA = I (Identity matrix). | Exists only if the matrix is square and its determinant is non-zero. |
| Symmetric Matrix | A square matrix A where A = Aᵀ (transpose of A). | Elements \(a_{ij} = a_{ji}\) for all i, j. |
| Determinant (|A|) | A scalar value calculated from the elements of a square matrix. | Indicates properties like invertibility. For 2x2 \(\left[\begin{array}{cc}a & b \\c & d\end{array}\right]\), determinant is \(ad-bc\). |
| Null Matrix | A matrix where all elements are zero. | Represented by 0. Adding it to a matrix doesn't change the matrix. |
Understanding matrix properties is fundamental in linear algebra. The determinant of a matrix is a single number that encodes many of the matrix's properties.
The given problem covers several basic but important concepts related to matrix properties, essential for solving problems in linear algebra.
Consider the system of equations: x + y = 2 and 2x + 2y = 5. This system has
The standard ordered basis of R 3 is {e 1, e 2, e 3} Let T : R 3 → R 3 be the linear transformation such that T(e 1) = 7e 1- 5e 3, T (e 2) = -2e 2+ 9e 3, T(e 3) = e 1+ e 2+ e 3. The standard matrix of T is:
The system of equations
x + y + z = 6;
x + 4y + 6z = 20;
x + 4y + λz = μ
has NO solution for values of λ and μ given by
What is the transformation matrix M that transforms a square in the xy-plane defined by (1, 1) T, (-1, 1) T, (-1, -1) T and (1, -1) T to a parallelogram whose corresponding vertices are (2, 1) T, (0, 1) T, (-2, -1) T and (0, -1) T?