Sigma Percentile
JEE Main 2024 (06 Apr Shift 2)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: If is a square matrix of order 3 such that and , then is equal to:

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Visualized Solution

Visual Anchor - The Problem and Properties

  • Given: Matrix of order and .
  • Target: Find from the given nested determinant.
  • Key Properties for :

Defining the Innermost Matrix

  • Let the innermost matrix be .
  • We need to find .
  • Using property: .

Computing

  • .
  • .
  • .

The First Adjoint Layer

  • Move one layer out: Let .
  • Apply scalar property: .
  • Apply adjoint property: .

Computing

  • Substitute .
  • .
  • .
  • .

The Second Adjoint Layer

  • Next layer: Let .
  • Apply scalar property: .
  • Apply adjoint property: .

Computing

  • Substitute .
  • .
  • .
  • .

The Third Adjoint Layer

  • Next layer: Let .
  • Apply scalar property: .
  • Apply adjoint property: .

Computing

  • Substitute .
  • .
  • Note: The negative sign inside the square becomes positive.
  • .
  • .

The Outermost Adjoint

  • Final expression: .
  • .
  • .
  • .

Extracting and

  • We are given .
  • Comparing with our result: .
  • Equating the powers of 2: .
  • Equating the powers of 3: .

The Final Answer

  • Target: Calculate .
  • Substitute the values: .
  • .
  • .
  • Final Answer: 4

The Sigma Insight: Properties of Determinants

Solution Diagram

The Architecture of Complexity

Unraveling the Nested Determinant
Imagine standing before a grand, intricate clockwork mechanism. Each gear is nested within another, and every turn of the outer gear depends entirely on the subtle, precise movement of the innermost spring.
In linear algebra, specifically when dealing with nested determinants and adjoint matrices, we are essentially reverse-engineering this clockwork. Today, we are going to dismantle a complex matrix expression, not by brute force, but by respecting the elegant laws of determinants.

The Foundation

Understanding the Tools
Before we dive into the abyss of the expression, let us sharpen our tools. We are given a matrix with . Our goal is to find the value of from the expression .
To survive this, we must rely on three fundamental pillars:
1. The Scalar Property: , which for becomes .
2. The Adjoint Property: , which for becomes .
3. The Inverse Property: .

Peeling the Onion

The Innermost Core
We start at the very center: . We need the determinant of this core.
Using our properties, we find:
Thus, . This is the heartbeat of our entire expression, and every subsequent layer will be built upon this value.

The Layered Expansion

Now, we move outward. Let . Applying our scalar and adjoint properties, we get:
As we move to , we must be careful with the negative sign. Since the order is , the scalar becomes .

The Final Ascent

We are almost there. The next layer is . Again, the scalar becomes .
Finally, we reach the outermost layer . The determinant of the adjoint is the square of the determinant of the matrix:

The Victory Lap

We were told that . By comparing our result, we identify and .
The final challenge is to compute :
Look at that! Through systematic application of the laws of linear algebra, a terrifying nested expression collapses into a simple integer. You have successfully navigated the clockwork, proving that complexity is often just a veil.

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