Sigma Percentile
JEE Main 2014
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: If is a non-singular matrix such that and , then equals:

Select Answer:

Visualized Solution

Given Conditions

  • Given: is a non-singular matrix.
  • Given: (Commutative property for transpose).
  • Given: .
  • Objective: Find the value of .

Transpose Reversal Law

  • Recall the Transpose Reversal Law: .
  • Property of inverse and transpose: .
  • We need these tools to find .

Calculating

  • We have .
  • Taking transpose on both sides: .
  • Applying the reversal law: .
  • Simplifying: .

Setting up

  • Substitute and into the product .
  • Expression: .

Applying Matrix Associativity

  • Matrix multiplication is associative: .
  • We can regroup the terms in .
  • .

Using the Given Condition

  • From the problem: .
  • Substitute for the middle term .
  • Expression: .

Simplifying to Identity

  • Regrouping again using associativity: .
  • Recall that any matrix multiplied by its inverse gives the Identity matrix .
  • and .
  • Result: .

Final Answer

  • .
  • Therefore, .
  • This means is an orthogonal matrix.
  • The correct option is .

The Sigma Insight: Algebraic Operations on Matrices

Analyzing the Setup

We are given a non-singular matrix . The condition that is non-singular implies that its determinant is non-zero and its inverse, , exists.
We are also provided with the condition . This identifies as a Normal Matrix, which serves as the foundational constraint for our derivation. Our objective is to determine the product where .

Phase 1

The Transpose Reversal Law
To evaluate , we first determine the expression for . Given , we take the transpose of both sides:
Applying the Transpose Reversal Law, which states that , we obtain:
Since the transpose of a transpose returns the original matrix, . Furthermore, the transpose of an inverse is the inverse of the transpose, meaning . Thus, our expression simplifies to:

Phase 2

The Associative Symphony
Now, we construct the product using our derived expressions:
Matrix multiplication is associative, allowing us to regroup the terms without changing their order. We focus on the central terms:
We now utilize the "golden ticket" provided in the problem statement: . Substituting this into our equation allows us to rearrange the matrices to facilitate cancellation.

Phase 3

The Grand Finale
Substituting the condition into the expression, we get:
By applying the associative property once more, we group the terms as follows:
Recognizing the definition of the Identity matrix , where and , the expression simplifies to:
The final result is:
This result demonstrates that is an orthogonal matrix. The logical progression confirms that the structural properties of dictate the behavior of throughout the transformation.

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