Sigma Percentile
JEE Main 2019 (12 January Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let and be two matrices such that . Then is equal to:

Select Answer:

Visualized Solution

Analyze Matrix

  • Given matrix
  • Observe that is a lower triangular matrix with s on the main diagonal.

Decompose

  • Let
  • Where and

Calculate

  • Performing multiplication:

Check for Nilpotency ()

  • Since , all higher powers for .

Apply Binomial Theorem to

  • Using Binomial Theorem:
  • Since , the expansion simplifies to:

Compute and

Summing to find

Define Matrix

  • Given
  • Identify elements: , ,

Final Ratio Calculation

  • Calculate the ratio:
  • Substitute the values:

Conclusion & Key Takeaway

  • Final Answer:
  • Key Takeaway: For matrices of the form where is strictly triangular, use the Binomial Theorem.
  • Nilpotency: Since , the expansion terminates early, simplifying the calculation of high powers.

The Sigma Insight: Algebraic Operations on Matrices

Analyzing the Setup

Imagine you are staring at matrix and the problem asks you to compute . Your first instinct might be to reach for your pen and start multiplying .
Stop! That is the path to a headache and a potential calculation error. In the world of JEE Advanced, we don't brute-force; we look for the hidden structure.
Notice that is a lower triangular matrix with s on the main diagonal. We can decompose into , where is the identity matrix and:
By isolating the identity matrix, we have separated the 'static' part of the matrix from the 'active' part.

The Magic of Nilpotency

Now, let's investigate the behavior of . When we calculate , we get:
This is interesting, but watch what happens when we calculate . Every single element becomes zero! This is the phenomenon of nilpotency.
Because , it follows that , , and all higher powers are also zero. We have turned a problem of infinite complexity into a finite, manageable one.

The Binomial Shortcut

Since and commute, we can apply the Binomial Theorem to expand . The expansion is:
Because and all higher powers are zero, the entire series collapses into just three terms:
Now, we compute the pieces:
Adding these to , we get:

The Final Assembly

The problem defines , which means . Adding the identity matrix to our result for , we get:
We need the ratio . Substituting our values:
And there you have it! By recognizing the structure and leveraging the power of nilpotency, we solved a seemingly impossible matrix power problem in just a few elegant steps. The final answer is 10.

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