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If A is any square matrix, then A — A* is a
  • a)
    Symmetric matrix
  • b)
    Skew symmetric matrix
  • c)
    Hermitian Matrix
  • d)
    Skew Hermitian Matrix
Correct answer is option 'D'. Can you explain this answer?
Verified Answer
If A is any square matrix, then A — A* is aa)Symmetric matrixb)S...
(A − A')' = A' − (A')'
= A' − A
= −(A − A')
Therefore, it is a skew symmetric matrix
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Most Upvoted Answer
If A is any square matrix, then A — A* is aa)Symmetric matrixb)S...
(A − A')' = A' − (A')'
= A' − A
= −(A − A')
Therefore, it is a skew symmetric matrix
Free Test
Community Answer
If A is any square matrix, then A — A* is aa)Symmetric matrixb)S...
Understanding the Problem
To determine if the expression A - A is a skew-symmetric matrix, let's analyze the components involved.
Definition of Skew-Symmetric Matrix
A matrix B is called skew-symmetric if it satisfies the condition:
- B^T = -B
where B^T is the transpose of matrix B.
Evaluating A - A
1. Expression: A - A equals the zero matrix, which we can denote as O.
2. Transpose: The transpose of O is:
- O^T = O
3. Checking Skew-Symmetry:
- By the definition of skew-symmetric matrices, we check:
O^T = -O
- This holds true, as both sides equal the zero matrix.
Conclusion
Since A - A results in the zero matrix (O), and it satisfies the skew-symmetric condition (O^T = -O), we conclude that:
- The correct answer is indeed option 'D': A - A is a skew-symmetric matrix.
Key Takeaways
- A - A = O: The difference of any matrix with itself is always the zero matrix.
- Zero Matrix Is Skew-Symmetric: The zero matrix meets the criteria for being skew-symmetric.
This analysis confirms that the assertion regarding the nature of A - A is correct.
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Question Description
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