Sigma Percentile
JEE Main 2023 (24 January Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: If and are two non-zero matrices such that , then

Select Answer:

Visualized Solution

Analyze the Given Equation

  • Given equation for non-zero matrices and :

Rearranging the Terms

  • Rearrange the equation by moving all terms to one side:

The Identity Matrix Trick

  • Add the Identity matrix to both sides to facilitate factorization:

Grouping for Factorization

  • Group the first two terms and factor out :

Completing the Factors

  • Factor out a negative sign from the remaining terms and simplify:

The Property of Commuting Inverses

  • Use the property: If for square matrices, then .
  • Therefore,

Expanding the New Product

  • Expand the product on the left side:

Simplifying the Expansion

  • Cancel from both sides and rearrange:

Final Conclusion

  • From the original equation:
  • From our derivation:
  • Therefore,

The Sigma Insight: Algebraic Operations on Matrices

Analyzing the Setup

We are given the matrix relationship:
where and are matrices. Our objective is to explore the properties of this relationship by manipulating the matrix algebra.

The Identity Trick

To simplify the expression, we first move all terms to one side:
This expression resembles the algebraic expansion . To complete the factorization, we add the Identity matrix to both sides:

Factoring the Expression

We can now group the terms to facilitate factorization. Factoring from the first two terms and from the remaining terms yields:
By factoring out the common matrix , we arrive at the elegant result:

Proving Commutativity

The equation implies that the matrices and are inverses of each other. A fundamental property of inverse matrices is that they must commute. Therefore:
Expanding this product, we obtain:

Final Conclusion

By canceling from both sides, we are left with:
Comparing this to our original equation , we conclude that:
This confirms that and commute, demonstrating the underlying symmetry of the given matrix relationship.

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