Sigma Percentile
JEE Advanced 2013
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: For matrices and , which of the following statement(s) is (are) NOT correct?

Select Answer:

* Multiple Correct

Visualized Solution

Matrix Symmetry & Transpose Rules

  • A matrix is Symmetric if .
  • A matrix is Skew-Symmetric if .
  • Reversal Law of Transpose: .
  • Goal: Identify the incorrect statement(s).

Analyzing Option A:

  • Let . Taking transpose: .
  • Using reversal law: .
  • Case 1: If is symmetric (), then .
  • Case 2: If is skew-symmetric (), then .
  • Statement A is correct.

Analyzing Option B:

  • Given and are symmetric: and .
  • Let .
  • .
  • Substituting symmetry: .
  • Statement B is correct.

Analyzing Option C: Symmetry of

  • Given and .
  • .
  • For to be symmetric, we need , which implies .
  • Since matrix multiplication is not commutative in general, .
  • Statement C is incorrect.

Analyzing Option D: Adjoint Property

  • Property of Adjoints: .
  • Therefore, .
  • The statement claims: .
  • This is only true if and commute, which is false in general.
  • Statement D is incorrect.

Final Conclusion

  • Incorrect Statements: Option C and Option D.
  • Key Takeaway 1: Matrix multiplication is not commutative ().
  • Key Takeaway 2: Reversal Law applies to Transpose, Inverse, and Adjoint: , , and .

The Sigma Insight: Adjoint and Inverse of a Matrix

The Foundation

The Reversal Law
Before we touch the options, we must anchor ourselves in the Reversal Law. In scalar arithmetic, . But in the matrix world, order is everything.
The Reversal Law states that for any two matrices and , the transpose of their product is the product of their transposes in reverse order:
This is not just a rule; it is a geometric necessity. When you transpose a product, you are essentially flipping the entire operation, which forces the matrices to swap their positions. This law is the key to unlocking every single option in this problem.

Analyzing Option A

The Symmetry of
Let us define a matrix . To determine if it is symmetric or skew-symmetric, we take its transpose:
Applying the Reversal Law, we get:
Since the transpose of a transpose is the original matrix, . Thus, we arrive at:
Now, consider the two cases. If is symmetric, , so . If is skew-symmetric, , so . The nature of is perfectly mirrored by the nature of . Option A is correct.

Analyzing Option B

The Skew-Symmetry of
Now, consider , where and are symmetric. Taking the transpose:
Using the Reversal Law, we get:
Since and are symmetric, and , so:
Factoring out the negative sign, we get . This is the definition of a skew-symmetric matrix. Option B is correct.

The Trap of Commutativity

Option C
Here is where the JEE examiners love to set a trap. Option C claims that is symmetric if and are symmetric. Let us test this:
For to be symmetric, we need , which implies . But we know that matrix multiplication is not commutative in general. Unless and commute, is not necessarily symmetric. This statement is incorrect.

The Adjoint Mystery

Option D
Finally, let us look at the adjoint property. The adjoint of a product follows the same Reversal Law as the transpose and the inverse:
The statement in Option D claims . This is only true if the adjoints commute, which is not guaranteed. Therefore, this statement is also incorrect.

Conclusion

The Takeaway
We have successfully navigated the traps. The key takeaways are:
1. Matrix multiplication is not commutative ($MN eq NM$). 2. The Reversal Law is universal for transposes, inverses, and adjoints:
By keeping these principles in mind, you can dismantle any matrix problem with confidence. Keep practicing, and keep falling in love with the logic!

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