Sigma Percentile
JEE Main 2022 (27 July Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let . Let be such that . Then is equal to -

Select Answer:

Visualized Solution

Introduction to Matrix

  • Given matrix
  • We need to find such that .

The Characteristic Equation

  • The Characteristic Equation of matrix is given by .
  • This equation helps us find the eigenvalues of the matrix.

Setting up the Determinant

  • Substitute the values of and :

Expanding the Determinant

  • Expanding the determinant:

Simplifying the Polynomial

  • Multiply the terms:
  • Combine like terms:

Applying Cayley-Hamilton Theorem

  • By Cayley-Hamilton Theorem, every square matrix satisfies its own characteristic equation.
  • Replace with and with :

Rearranging the Equation

  • Rearrange the equation to isolate :

Matching the Target Form

  • Multiply the entire equation by :

Comparing Coefficients

  • Compare with .
  • We get: and .

Final Calculation

  • Calculate the sum: .
  • Final Answer:

The Sigma Insight: Adjoint and Inverse of a Matrix

Solution Diagram

Analyzing the Setup

Welcome, future engineers! Today, we are going to dive into the elegant world of matrix algebra. When you are given a matrix and asked to find scalars and such that , your first instinct might be to reach for the brute force method.
While calculating manually is a valid path, it is a dangerous one. In the high-stakes environment of the JEE Advanced, time is your most precious resource, and manual matrix multiplication is a breeding ground for silly arithmetic errors.
Instead, let us embrace a more powerful, elegant, and sophisticated tool: the Cayley-Hamilton Theorem.

The Secret Weapon

Cayley-Hamilton
The Cayley-Hamilton Theorem is one of the most beautiful results in linear algebra. It states that every square matrix satisfies its own characteristic equation. This means we do not need to perform tedious matrix multiplications to find .
The characteristic equation is defined by the determinant , where represents the eigenvalues of the matrix. Let us set this up by subtracting from the diagonal elements of :
Now, we expand this determinant using the formula :
Expanding this carefully, we get:
Combining the like terms, we arrive at the quadratic equation:

The Transformation

Now, we invoke the magic of the Cayley-Hamilton Theorem. Since every square matrix satisfies its own characteristic equation, we can simply replace the scalar with the matrix and the constant term with the identity matrix .
This gives us the matrix equation:
This is a massive shortcut! We have successfully expressed in terms of and without ever performing a single matrix multiplication.
Our goal is to match the form . Let us rearrange our equation:
The target equation has on the right side, but we currently have . The solution is simple: multiply the entire equation by .

The Final Comparison

Now, we compare our derived equation with the target equation . By comparing the coefficients, it is immediately clear that and .
The question asks for the sum . Therefore:
And there you have it! We have solved the problem with precision, elegance, and speed. This is the power of understanding the underlying theory rather than just relying on calculation.

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