The Symphony of Matrices
Unlocking the Power of 2005
Imagine you are standing before a massive, intimidating wall of numbers. The problem asks you to compute x=PTQ2005P, where Q=PAPT.
Your first instinct might be to panic. Raising a matrix to the power of 2005 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, PT, and then perform the product PTP.
As we multiply the rows of PT by the columns of P, something magical happens. The terms 43 and 41 add up to 1, and the off-diagonal terms cancel out to 0.
We have arrived at the identity matrix I. This is our first breakthrough: P is an orthogonal matrix. This means PT=P−1, 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
A=[1011]
This is a classic shear matrix. Let's see how it behaves under exponentiation.
We compute
A2=[1011][1011]=[1021]
Then
A3=A2A=[1021][1011]=[1031]
The pattern is undeniable! By the Principle of Mathematical Induction, we can confidently state that for any positive integer
n,
An=[10n1]
The Great Collapse
Now, let's look at the expression Qn. We have Q=PAPT.
When we square it, we get Q2=(PAPT)(PAPT). Notice the middle term: PTP.
Because P is orthogonal, PTP=I. The expression collapses to PAIAPT, which is simply PA2PT.
This 'telescoping' effect is beautiful. It means that for any power n, Qn=PAnPT.
Finally, we substitute this back into our target expression:
x=PTQ2005P. Substituting
Q2005=PA2005PT, we get
x=PT(PA2005PT)P
By the associative property, this is (PTP)A2005(PTP). Since PTP=I, the entire expression simplifies to I⋅A2005⋅I, which is just A2005.
Conclusion
We started with a terrifying exponent of 2005, and through the elegance of matrix properties, we reduced it to a simple shear matrix.
The final answer is
[1020051]
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.