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A matrix which is both symmetric and ske...

A matrix which is both symmetric and skew-symmetric is a

A

Unit matrix

B

Null matrix

C

Non-singular matrix

D

None of these

Text Solution

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The correct Answer is:
To solve the problem, we need to determine the nature of a matrix that is both symmetric and skew-symmetric. ### Step-by-Step Solution: 1. **Definition of Symmetric Matrix**: A matrix \( A \) is symmetric if: \[ A = A^T \] This means that the element at the \( i^{th} \) row and \( j^{th} \) column is equal to the element at the \( j^{th} \) row and \( i^{th} \) column, i.e., \[ A_{ij} = A_{ji} \quad \text{for all } i, j. \] **Hint**: Recall that symmetric matrices have mirrored elements across the main diagonal. 2. **Definition of Skew-Symmetric Matrix**: A matrix \( A \) is skew-symmetric if: \[ A = -A^T \] This implies that the element at the \( i^{th} \) row and \( j^{th} \) column is the negative of the element at the \( j^{th} \) row and \( i^{th} \) column, i.e., \[ A_{ij} = -A_{ji} \quad \text{for all } i, j. \] **Hint**: Remember that skew-symmetric matrices have elements that are negatives of each other across the main diagonal. 3. **Combining the Definitions**: Since the matrix \( A \) is both symmetric and skew-symmetric, we can set up the following equations based on the definitions: - From symmetry: \[ A_{ij} = A_{ji} \] - From skew-symmetry: \[ A_{ij} = -A_{ji} \] 4. **Equating the Two Definitions**: From the two equations above, we have: \[ A_{ij} = A_{ji} \quad \text{and} \quad A_{ij} = -A_{ji} \] This implies: \[ A_{ij} = -A_{ij} \] **Hint**: Think about what it means for a number to be equal to its own negative. 5. **Solving the Equation**: From the equation \( A_{ij} = -A_{ij} \), we can add \( A_{ij} \) to both sides: \[ A_{ij} + A_{ij} = 0 \implies 2A_{ij} = 0 \implies A_{ij} = 0 \] This means that every element of the matrix \( A \) is zero. **Hint**: If every entry of a matrix is zero, what type of matrix do you have? 6. **Conclusion**: Since all entries \( A_{ij} \) are zero for all \( i \) and \( j \), the matrix \( A \) is the zero matrix, also known as the null matrix. **Final Answer**: The matrix which is both symmetric and skew-symmetric is the **null matrix**.
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