Sigma Percentile
JEE Main 2025 (January)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let where . Then is equal to

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Visualized Solution

The Matrix Equation Setup

  • Given Matrix
  • Identity Matrix
  • Goal: Find the number of integers satisfying

The Characteristic Equation

  • To understand matrix powers, we find the characteristic equation.
  • Solve

Solving for Eigenvalues

  • Expanding the determinant:

Cayley-Hamilton Theorem

  • By Cayley-Hamilton Theorem, every square matrix satisfies its own characteristic equation.
  • Replacing with :
  • Where is the null matrix

Defining the Nilpotent Matrix

  • Let's define a new matrix
  • From our previous step, we know

Binomial Expansion of

  • We can write
  • For any integer ,
  • Using Binomial Expansion:
  • Since , all higher powers are also .

General Formula for

  • The expansion simplifies to:
  • Applying this to our terms:

Substituting into the Main Equation

  • Original equation:
  • Substitute the simplified forms:

Simplifying the Matrix Equation

  • Left Hand Side (LHS):
  • Right Hand Side (RHS):
  • Equating both sides:

Equating the Coefficients

  • After canceling :
  • Since , we can equate the scalar coefficients:
  • Rearranging:

Solving the Quadratic Equation

  • Factorizing the quadratic:
  • Possible values for : or

Determining the Number of Solutions

  • The set of valid integers is
  • The number of elements in the set is
  • Final Answer: The value of is .

The Sigma Insight: Algebraic Operations on Matrices

Analyzing the Setup

Imagine you are standing before a massive, intimidating matrix equation:
You might be tempted to start multiplying the matrix by itself over and over. But stop! In the world of JEE Advanced, brute force is rarely the intended path. There is a hidden elegance here, a secret structure waiting to be uncovered.

The Master Key

The Characteristic Equation
Whenever you see high powers of a matrix, your brain should immediately pivot to the characteristic equation. It is the DNA of the matrix.
We find it by solving . Let us set up the determinant:
Expanding this, we get , which simplifies to . This is a perfect square: . Our eigenvalues are and . This repeated eigenvalue is our first clue that something special is happening.

The Magic of Cayley-Hamilton

The Cayley-Hamilton theorem tells us that every square matrix satisfies its own characteristic equation. So, , where is the null matrix.
Let us define a new matrix . Calculating this, we get:
From our theorem, we know . This is the definition of a nilpotent matrix!

The Binomial Collapse

Now, the magic happens. We can write . If we want to find , we can use the binomial expansion:
But wait! Since , all terms involving vanish into thin air. The entire infinite series collapses into just .
This works for any integer , even negative ones! So, we have:

The Final Victory

Now, let us substitute these back into our original, scary equation:
Simplifying the left side, we get . Simplifying the right side, we get .
The terms cancel out, leaving us with . Since is not the null matrix, we can equate the coefficients:
Factoring this quadratic, we get . Thus, or .
We have found our two integer solutions! The number of elements in our set is . You see? With the right tools, even the most intimidating problems become a beautiful, logical dance.

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