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JEE Main 2023 (13 April Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let , be the adjoint of a matrix and . Then is equal to

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Visualized Solution

Introduction to Matrix

  • We are given a matrix .
  • is the adjoint of matrix .
  • We need to evaluate a matrix product involving .

Determinant of Adjoint Matrix

  • Recall the property:
  • Here, the order of the matrix is .
  • Therefore, .

Calculating

  • We are given .
  • Substitute this into our relation: .
  • This gives us .

Expanding

  • Expand along the first row:

Simplifying the Expansion

  • Simplify the terms:

Forming the Quadratic Equation

  • Equate the expanded expression to the known value of :
  • Rearrange to form a standard quadratic equation:

Solving for

  • Factorize the quadratic equation:
  • This gives two possible values: or .

Applying the Constraint

  • The problem states a specific constraint: .
  • Since is not strictly greater than , we reject .
  • Therefore, the only valid solution is .

Setting Up the Matrix Product

  • Target expression:
  • Substitute :

First Matrix Multiplication

  • Multiply the row vector with the matrix :
  • First element:
  • Second element:
  • Third element:
  • Resulting row vector:

Final Matrix Multiplication

  • Now multiply the resulting vector with the column vector:

Final Calculation

  • Evaluate the sum:
  • The final answer is .

The Sigma Insight: Adjoint and Inverse of a Matrix

Solution Diagram

Analyzing the Setup

Welcome, future engineers. Today, we are going to dissect a problem that, at first glance, looks like a standard matrix manipulation exercise. But beneath the surface, it is a test of your ability to connect abstract properties with concrete calculation.
We are given a matrix , which is the adjoint of some unknown matrix , and we are tasked with evaluating a specific quadratic form involving . Let us embark on this journey together.

The Determinant Bridge

The first instinct for many students is to try and find the matrix . But stop! Take a breath. We do not know ; we only know its adjoint, .
If you try to invert to find , you will be trapped in a labyrinth of algebraic expressions involving . Instead, we must use the 'Bridge Property' of determinants. We know that for any square matrix of order , the determinant of its adjoint is given by the elegant relation:
In our case, . Therefore, . We are given that . Substituting this, we find:
Just like that, the mystery of the determinant of is solved. It is not an expression; it is a solid, unshakeable number: .

The Algebraic Hunt

Now that we know , we must look at the matrix itself. It contains the variable . To find , we must expand the determinant of and equate it to .
Let us expand along the first row:
Simplifying this, we get . This expands to . Combining like terms, we arrive at the quadratic expression:
Now, we equate this to our known value: . Rearranging this gives us the quadratic equation:
Factoring this, we get . This gives us two candidates: and .
But wait! Look at the problem statement again. The constraint is . This is the gatekeeper of the problem. We must reject . Thus, the only valid value is .

The Final Matrix Dance

With , our matrix is fully defined:
We are asked to evaluate the product:
Substituting , this becomes:
Let us perform the multiplication in two steps. First, the row vector multiplied by :
The first element is . The second element is . The third element is . We now have the row vector .
Finally, we multiply this by the column vector:
Calculating this sum, , and . The final answer is .

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