Sigma Percentile
JEE Advanced 2005
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: If and and and then is equal to

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Visualized Solution

Understanding the Setup and Goal

  • We are given two matrices: and .
  • We are also given the relation .
  • Our ultimate goal is to find the matrix .
  • Directly computing is practically impossible, so we must look for elegant algebraic simplifications.

Analyzing Matrix for Orthogonality

  • Let's write down the transpose of : .
  • Now, let's compute the product .
  • We multiply the rows of by the columns of to check if it yields the identity matrix .

Confirming

  • Row 1, Column 2: .
  • Row 2, Column 1: .
  • Row 2, Column 2: .
  • Thus, , confirming is an orthogonal matrix.

Finding the Pattern for

  • Now let's look at matrix .
  • Let's compute to see if a pattern emerges:
  • .

Generalizing to and Finding

  • Let's compute .
  • By mathematical induction, we can generalize this for any positive integer :
  • .
  • Therefore, for , we have .

Expanding the Power of

  • We are given .
  • Let's write down :
  • .
  • Since , this simplifies to:
  • .

Generalizing

  • Similarly, for :
  • .
  • By induction, for any power :
  • .
  • Therefore, for , we have .

Substituting into the Expression for

  • We need to find .
  • Substitute into the expression:
  • .
  • Using the associative property of matrix multiplication:
  • .

Final Simplification to

  • Since , the expression simplifies beautifully:
  • .
  • From Step 4, we know .
  • Therefore, .
  • This matches Option (a).

The Sigma Insight: Algebraic Operations on Matrices

Solution Diagram

The Symphony of Matrices

Unlocking the Power of
Imagine you are standing before a massive, intimidating wall of numbers. The problem asks you to compute , where .
Your first instinct might be to panic. Raising a matrix to the power of sounds like a nightmare of endless multiplication.
But take a deep breath. In the world of JEE Advanced, whenever you see a massive exponent, it is rarely a test of your stamina; it is a test of your insight. There is a hidden rhythm, a symphony of cancellations waiting to be discovered.

The Orthogonal Revelation

Our journey begins with the matrix
At first glance, it looks like a standard matrix, but let's test its character. We calculate its transpose, , and then perform the product .
As we multiply the rows of by the columns of , something magical happens. The terms and add up to , and the off-diagonal terms cancel out to .
We have arrived at the identity matrix . This is our first breakthrough: is an orthogonal matrix. This means , and this property is the key that will unlock the entire problem.

The Pattern of Shear

Now, let's turn our attention to the matrix
This is a classic shear matrix. Let's see how it behaves under exponentiation.
We compute
Then
The pattern is undeniable! By the Principle of Mathematical Induction, we can confidently state that for any positive integer ,
Thus,

The Great Collapse

Now, let's look at the expression . We have .
When we square it, we get . Notice the middle term: .
Because is orthogonal, . The expression collapses to , which is simply .
This 'telescoping' effect is beautiful. It means that for any power , .
Finally, we substitute this back into our target expression: . Substituting , we get
By the associative property, this is . Since , the entire expression simplifies to , which is just .

Conclusion

We started with a terrifying exponent of , and through the elegance of matrix properties, we reduced it to a simple shear matrix.
The final answer is
This is the beauty of mathematics: when you look past the complexity, you find a structure that is not only solvable but profoundly elegant. Keep this mindset, and no problem will ever be too big for you.

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