Analyzing the Setup
Imagine you are standing before a complex matrix equation. You see A=[4α−2β] and the daunting equation A2+γA+18I=O.
Your first instinct might be to start calculating powers of A, finding α and β, and diving into a sea of algebraic variables. But wait—stop.
In the world of JEE Advanced, the most elegant path is rarely the one that requires the most brute force. There is a hidden structure here, a mathematical heartbeat that we can tap into.
The Cayley-Hamilton Revelation
Whenever you encounter an equation involving powers of a square matrix, your mind should immediately leap to the Cayley-Hamilton Theorem. This is one of the most powerful tools in your linear algebra toolkit.
It states that every square matrix satisfies its own characteristic equation. Think of it as the matrix's personal identity—a unique polynomial that the matrix itself must obey.
For a 2×2 matrix, this characteristic equation is beautifully simple:
where Tr(A) is the trace (the sum of the diagonal elements) and det(A) is the determinant.
The Elegant Comparison
Now, let's apply this magic. According to the theorem, if we replace the scalar λ with the matrix A, the equation becomes:
Notice how we attach the identity matrix I to the constant term det(A)? This is crucial for dimensional consistency—we are working in the realm of matrices, so every term must be a matrix!
Now, look at the equation provided in the problem: A2+γA+18I=O. We have two equations that both describe the behavior of matrix A.
By comparing them, we can see that the coefficients must match. The constant term in our derived equation is det(A)I, and the constant term in the given equation is 18I.
The Final Triumph
Are you seeing the beauty of it? By simply equating the coefficients of I, we find that det(A)=18.
We didn't need to calculate α, β, or γ. We didn't need to perform a single complex matrix multiplication.
We simply used the deep, geometric reality of the matrix to bypass the noise. This is the essence of JEE Advanced—not just solving, but understanding the underlying structure.
You have successfully navigated the trap and found the answer with elegance and precision. Keep this mindset, and no matrix equation will ever intimidate you again.