Sigma Percentile
JEE Main 2021 (20 July Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let be written as where is a symmetric matrix and is a skew symmetric matrix. If , then the modulus of the sum of all possible values of determinant of is equal to :

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Visualized Solution

Matrix Decomposition

  • Given matrix
  • Any square matrix can be written as
  • Where is Symmetric ()
  • And is Skew-Symmetric ()

Formulas for and

  • Symmetric part:
  • Skew-Symmetric part:
  • Transpose of :

Constructing Matrix

Calculating Elements of

Using the Determinant Condition

  • Given:

Solving for

Finding Values of

  • Taking square root:
  • Case 1:
  • Case 2:
  • Possible values:

Constructing Matrix

  • Now, find symmetric matrix

Calculating Elements of

Determinant of

Evaluating for and

  • For :
  • For :

Final Sum and Modulus

  • Sum of all possible values of
  • Modulus of the sum
  • Final Answer:

The Sigma Insight: Types of Matrices

Solution Diagram

The Architecture of Matrices

A Journey into Decomposition
Welcome, future engineer. Today, we are not just solving a matrix problem; we are peeling back the layers of linear algebra to understand the very anatomy of a matrix.
You have been given a matrix and told that it can be decomposed into two distinct entities: and . This is not merely an algebraic trick; it is a fundamental truth of linear algebra.
Every square matrix can be uniquely expressed as the sum of a symmetric matrix and a skew-symmetric matrix. Think of this like breaking a complex force vector into its horizontal and vertical components. It simplifies the chaos into order.

Phase 1

The Anatomy of Symmetry
Let us define our players. We are told is symmetric, meaning , and is skew-symmetric, meaning . How do we extract these from ?
The beauty of linear algebra gives us the formulas directly:
Before we rush into the calculation, pause and visualize what is happening. When we add to its transpose , the off-diagonal elements align in a way that creates symmetry. When we subtract from , the diagonal elements cancel out to zero, and the off-diagonal elements become negatives of each other.
This is the signature of skew-symmetry. Let us write down and prepare for the construction.

Phase 2

The Skew-Symmetric Constraint
We are given a specific constraint: . This is our anchor. Let us construct explicitly.
Using our formula, we have:
Look at that matrix. The diagonal is zero, and the off-diagonal elements are negatives of each other. It is perfectly skew-symmetric.
Now, let us calculate the determinant. For a matrix, the determinant is . Here, that is .
We set this equal to . This leads us to .
Here is where the trap lies. When you take the square root, you must account for both the positive and negative roots. Thus, or .
This gives us two possible values for our parameter: and . Do not discard either one! Both are valid realities of this matrix.

Phase 3

The Symmetric Reality
Now that we have our values for , we turn our attention to . Using the formula , we construct:
Again, notice the symmetry. The off-diagonal elements are identical. Now, let us find the determinant of :
This is our general expression for the determinant of the symmetric part. We have two cases to evaluate.

Phase 4

The Final Synthesis
For , we have:
For , we have:
The problem asks for the modulus of the sum of all possible values of the determinant of . The sum is .
The modulus of is simply .
We have navigated the decomposition, respected the constraints, and arrived at the solution. Remember, in JEE Advanced, the math is rarely just about calculation; it is about understanding the structure. You have done exactly that. Keep this clarity, and you will conquer any matrix that comes your way.

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