Sigma Percentile
JEE Main 2022 (27 July Shift 2)
LEVELJEE Main

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

Select Answer:

Visualized Solution

Given Matrix and Equation

  • Given matrix:
  • Given equation:
  • Objective: Find

Cayley-Hamilton Theorem

  • Cayley-Hamilton Theorem: Every square matrix satisfies its own characteristic equation.
  • This is a powerful tool for equations involving matrix powers.

Characteristic Equation

  • For a matrix, the characteristic equation is:
  • Where is the trace (sum of diagonal elements).

Applying the Theorem

  • Replace scalar with matrix .
  • The constant term becomes .

Comparing Equations

  • Given:
  • Derived:
  • Both equations represent the same relationship for matrix .

Focusing on the Constant Term

  • We need , which is part of the constant term.
  • Constant term in given equation:
  • Constant term in derived equation:

Final Result

  • Equating the coefficients of :
  • No need to calculate , , or .

The Sigma Insight: Algebraic Operations on Matrices

Solution Diagram

Analyzing the Setup

Imagine you are standing before a complex matrix equation. You see and the daunting equation .
Your first instinct might be to start calculating powers of , finding and , 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 matrix, this characteristic equation is beautifully simple:
where is the trace (the sum of the diagonal elements) and is the determinant.

The Elegant Comparison

Now, let's apply this magic. According to the theorem, if we replace the scalar with the matrix , the equation becomes:
Notice how we attach the identity matrix to the constant term ? 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: . We have two equations that both describe the behavior of matrix .
By comparing them, we can see that the coefficients must match. The constant term in our derived equation is , and the constant term in the given equation is .

The Final Triumph

Are you seeing the beauty of it? By simply equating the coefficients of , we find that .
We didn't need to calculate , , or . 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.

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