The Illusion of Complexity
Facing the Giant
Imagine you are standing before a massive, imposing mountain. The problem asks you to calculate M2022, where:
If you look at this and think, "I need to multiply this matrix by itself 2022 times," you are falling into the trap. The JEE Advanced examiners are not testing your ability to perform tedious multiplication; they are testing your ability to see the hidden elegance beneath the surface.
Phase 1
The Art of Decomposition
Whenever you see a matrix with numbers that look "almost" like the identity matrix, your alarm bells should ring. Look at the diagonal elements: 25 and −21. They are just a small step away from 1.
Let us rewrite them:
By doing this, we can peel away the identity matrix I=(1001) like the skin of an onion. We are left with:
M=(1001)+(23−2323−23)
Now, factor out that 23 from the second matrix. We define a new matrix A=(1−11−1). Suddenly, our terrifying matrix M has transformed into the elegant form: M=I+23A.
Phase 2
The Nilpotent Discovery
Why did we isolate A? Because A is special. Let us test its power by squaring it:
A2=(1−11−1)(1−11−1)=((1)(1)+(1)(−1)(−1)(1)+(−1)(−1)(1)(1)+(1)(−1)(−1)(1)+(−1)(−1))=(0000)
It is the null matrix! This is what mathematicians call a Nilpotent matrix of index 2. This is a gift, as it means A2=O, A3=O, and so on.
Phase 3
The Binomial Shortcut
Now, we return to our goal: M2022=(I+23A)2022. Because I and A commute, we can use the Binomial Theorem:
(I+23A)2022=I2022+(12022)I2021(23A)+(22022)I2020(23A)2+…
Look at the terms after the second one. They all contain A2,A3,…, which we just proved are all zero. The infinite series collapses into just two terms:
Calculating the scalar: 2022⋅23=1011⋅3=3033. So, M2022=I+3033A.
The Final Victory
We are almost there. Substitute the matrices back in:
M2022=(1001)+3033(1−11−1)=(1+30330−30330+30331−3033)
The final result is:
M2022=(3034−30333033−3032)
Look at that result. It is clean, precise, and beautiful. You didn't need to multiply 2022 matrices; you just needed to understand the soul of the matrix.