Question
Let and be any two symmetric and skew symmetric matrices respectively. Then which of the following is NOT true?
Options
Solution
Key Concepts and Formulas
- Symmetric Matrix: A square matrix is called symmetric if its transpose is equal to itself, i.e., .
- Skew-Symmetric Matrix: A square matrix is called skew-symmetric if its transpose is equal to its negative, i.e., .
- Properties of Transpose: For any matrices and (of compatible dimensions) and scalar :
- (The transpose of a sum or difference is the sum or difference of the transposes).
- (The transpose of a product is the product of the transposes in reverse order).
- (The transpose of a scalar multiple is the scalar multiple of the transpose).
- for any positive integer (The transpose of a matrix raised to a power is the transpose of the matrix raised to that same power).
Problem Setup
We are given two matrices:
- is a symmetric matrix, which implies .
- is a skew-symmetric matrix, which implies .
Our objective is to determine which of the given statements regarding combinations of and is NOT true. We will evaluate each option by calculating the transpose of the given matrix expression and comparing it with the original expression or its negative.
Step-by-Step Solution
Option (A): is a symmetric matrix
Let . For to be symmetric, its transpose must be equal to .
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Calculate the transpose of : Reasoning: We apply the transpose operation to the entire matrix expression.
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Apply the property : Reasoning: The transpose of a difference of matrices is the difference of their transposes.
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Apply the property : Reasoning: The transpose of a matrix raised to a power is equivalent to raising the transpose of the matrix to that same power.
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Substitute the given properties of and : Since is symmetric, . Since is skew-symmetric, . Reasoning: We replace with and with based on their definitions.
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Simplify the terms: For any matrix and an even integer , . Thus, . Reasoning: We simplify the term using the property of even powers.
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Compare with : We found , which is exactly equal to our original matrix . Therefore, .
Conclusion for Option (A): The matrix is symmetric. This statement is TRUE.
Option (B): is a symmetric matrix
Let . For to be symmetric, its transpose must be equal to .
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Calculate the transpose of : Reasoning: We apply the transpose operation to the entire expression.
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Apply the property : Reasoning: The transpose of a difference is the difference of the transposes.
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Apply the property : Reasoning: The transpose of a product of matrices requires reversing the order of multiplication of the transposes. This is a crucial step to remember.
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Substitute the given properties of and : Since and : Reasoning: We substitute with and with .
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Simplify the terms: Reasoning: We perform the matrix multiplications and simplify the signs.
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Compare with : We found , which is exactly equal to our original matrix . Therefore, .
Conclusion for Option (B): The matrix is symmetric. This statement is TRUE.
Option (C): is a skew-symmetric matrix
Let . For to be skew-symmetric, its transpose must be equal to .
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Calculate the transpose of : Reasoning: We apply the transpose operation to the entire expression.
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Apply the property : Reasoning: The transpose of a difference is the difference of the transposes.
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Apply the property : Reasoning: The transpose of a matrix raised to a power is equivalent to raising the transpose of the matrix to that same power.
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Substitute the given properties of and : Since and : Reasoning: We substitute with and with .
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Simplify the terms: For any matrix and an odd integer , . Thus, . Reasoning: We simplify the term using the property of odd powers.
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Compare with : Our original matrix is . Therefore, . We found . Clearly, because is not generally equal to (unless is the zero matrix).
Conclusion for Option (C): The matrix is NOT a skew-symmetric matrix. This statement is FALSE. Since the question asks for the statement that is NOT true, this is our answer.
Option (D): is a skew-symmetric matrix
Let . For to be skew-symmetric, its transpose must be equal to .
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Calculate the transpose of : Reasoning: We apply the transpose operation to the entire expression.
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Apply the property : Reasoning: The transpose of a sum is the sum of the transposes.
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Apply the property : Reasoning: The transpose of a product requires reversing the order of multiplication of the transposes.
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Substitute the given properties of and : Since and : Reasoning: We substitute with and with .
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Simplify the terms: Reasoning: We perform the matrix multiplications and factor out the negative sign.
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Compare with : We found , which is exactly equal to . Therefore, .
Conclusion for Option (D): The matrix is skew-symmetric. This statement is TRUE.
Common Mistakes & Tips
- Transpose of a Product: Always remember that . A common error is to write .
- Powers of Skew-Symmetric Matrices: For a skew-symmetric matrix ():
- An even power of (e.g., ) results in a symmetric matrix. This is because for even .
- An odd power of (e.g., ) results in a skew-symmetric matrix. This is because for odd .
- Systematic Approach: For problems involving properties of matrix transposes, consistently calculate the transpose of the given expression step-by-step, substitute the known properties of the matrices, simplify, and then compare with the definition of symmetric or skew-symmetric matrices.
Summary
We systematically checked each option:
- Statement (A) is TRUE ( is symmetric).
- Statement (B) is TRUE ( is symmetric).
- Statement (C) is FALSE ( is not skew-symmetric).
- Statement (D) is TRUE ( is skew-symmetric).
The question asks for the statement that is NOT true. Our analysis shows that option (C) is the only statement that is false.
The final answer is