Sigma Percentile
JEE Main 2024 (08 Apr Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let . If the sum of the diagonal elements of is , then is equal to_________

Enter Numerical Value:

Visualized Solution

Understanding the Goal

  • Given matrix
  • Goal: Find such that
  • Recall: is the sum of diagonal elements of matrix

The Characteristic Equation

  • Characteristic Equation:
  • For a matrix:

Forming the Quadratic

  • Substitute values:

Solving for Eigenvalues

  • Using quadratic formula:

Conversion to Euler's Form

  • Modulus
  • Argument
  • Eigenvalues:

Property of Trace and Powers

  • Property: If are eigenvalues of , then are eigenvalues of

Setting up the Sum

  • Factor out :

Simplifying the Power of 3

  • Using

Evaluating the Cosine Term

Final Calculation

Finding the Value of n

  • Given:
  • From calculation:
  • Comparing exponents:

The Sigma Insight: Algebraic Operations on Matrices

Solution Diagram

Analyzing the Setup

Imagine you are sitting in the examination hall. You see the matrix
and the question asks for the sum of the diagonal elements of .
Your first instinct might be to reach for your pen and start multiplying. , then , then ... stop! If you do that, you have fallen into the trap.
The JEE Advanced examiners are not testing your ability to perform tedious arithmetic; they are testing your ability to see the soul of the matrix. Let us embark on a journey to solve this not with brute force, but with the elegance of linear algebra.

The Key to the Kingdom

The Characteristic Equation
The secret to understanding any matrix lies in its eigenvalues. These are the scalars that define how the matrix stretches space.
For any matrix, we do not need to perform complex row reductions. We have a beautiful shortcut: the characteristic equation
Let us calculate the trace and determinant of our matrix . The trace, , is the sum of the diagonal elements: . The determinant, , is .
Substituting these into our equation, we get
This quadratic equation is the key that unlocks the entire problem.

The Complex Dance

Solving for , we use the quadratic formula:
We have arrived at two complex conjugate eigenvalues. Do not be intimidated by the . In the world of matrices, complex eigenvalues often appear when the transformation involves a rotation.
To handle these, we must step out of the Cartesian plane and into the world of Euler. We convert these eigenvalues into polar form: .
The modulus is
The argument is
Thus, our eigenvalues are .

The Power of Euler

Now, we invoke the Spectral Mapping Theorem. We know that the trace of is simply the sum of the 13th powers of the eigenvalues:
Substituting our polar forms, we get
Factoring out , we are left with
This is where the magic happens. We know that . Our expression becomes

The Grand Finale

Let us simplify the terms. is , which is .
The cosine term, , is equivalent to , which is simply .
Putting it all together:
The s cancel, and becomes . We are left with .
The problem asks for where the trace is . By comparing our result, we see clearly that .
We did not multiply the matrix once. We used the power of eigenvalues, the beauty of Euler's formula, and the symmetry of complex conjugates to solve a problem that would have taken others twenty minutes of painful arithmetic. This is the JEE Advanced mindset: think first, calculate later.

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