Sigma Percentile
JEE Advanced 2014
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let and be two matrices such that . Further, if and , then

Select Answer:

* Multiple Correct

Visualized Solution

Given Conditions and Commutativity

  • Given matrices and are of order .
  • Commutativity condition: .
  • Constraint 1: .
  • Constraint 2: .

Rearranging the Main Equation

  • From , we can write .

The Power of Commutativity

  • Since , it follows that commutes with .
  • This allows us to use standard algebraic identities.

Factorizing the Difference of Squares

  • Using the difference of squares identity:
  • .

Analyzing the Factors

  • We are given that .
  • Therefore, the first factor is not the zero matrix.

The Non-Invertibility Argument

  • Assume .
  • Then exists.
  • Multiplying by the inverse yields .

Concluding the Determinant is Zero

  • This contradicts .
  • Therefore, our assumption is wrong, and .

Setting Up the Target Expression

  • Consider the target expression: .
  • Factoring out , we get: .

Applying the Determinant Property

  • Taking the determinant of the product:
  • .

Evaluating the Final Determinant

  • Substitute into the equation.
  • .
  • Option (A) is correct.

Exploring the Singular Matrix Property

  • Let . We found .
  • A singular matrix has a non-trivial null space.
  • There exists a non-zero vector such that .

Constructing the Non-Zero Matrix

  • We can form a non-zero matrix using .
  • For example, place in the first column: .

Final Conclusion

  • Since , the matrix is non-zero.
  • Multiplying gives , meaning .
  • Option (B) is correct.

The Sigma Insight: Properties of Determinants

Solution Diagram

Analyzing the Commutativity Condition

We are given two matrices, and , such that . This commutativity is our most powerful tool, allowing us to treat these matrices with the same algebraic grace we apply to scalar variables.
We begin with the given condition:
This can be rewritten as:

Factoring the Matrix Expression

Because and commute, it follows that and also commute. This allows us to factor the expression using the difference of squares identity:
We are given the constraint that $M eq N^2$. Therefore, the matrix is not the zero matrix.

Evaluating the Determinant

In matrix algebra, the product of two non-zero matrices can result in the zero matrix if the matrices are singular. This implies that the determinant of the second factor must be zero:
Now, consider the expression . We can factor this as:
Taking the determinant of this product, we apply the property :
Since , the entire product is zero:

Conclusion

This result confirms that the matrix is singular. Consequently, there exists a non-zero vector such that:
This confirms that the matrix is not invertible, which is the core requirement for Option A. The existence of such a vector further allows for the construction of a matrix to satisfy the conditions described in Option B.

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