Sigma Percentile
JEE Main 2021 (31 Aug Shift 2)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: The number of elements in the set , where is identity matrix, is :

Enter Numerical Value:

Visualized Solution

Understanding the Problem Statement

  • Given matrix where
  • Condition:
  • Objective: Find the number of elements in set

Expanding the Algebraic Identity

  • Expand using the binomial theorem
  • Since , we can use:
  • Simplified LHS:

Simplifying the Matrix Equation

  • Set LHS = RHS:
  • Cancel and from both sides:
  • Resulting condition:

Calculating

  • Compute
  • Top-left:
  • Top-right:
  • Bottom-right:
  • Result:

Equating Corresponding Elements

  • Equate :
  • 1)
  • 2)
  • 3)

Solving for and

  • Solve
  • Solve
  • Note: are excluded as

Analyzing the Constraint

  • Rewrite as
  • Two possibilities:
  • Case 1:
  • Case 2:

Case 1: When

  • If :
  • The equation is satisfied for any
  • Possible values for : (2 choices)
  • Possible values for : (2 choices)
  • Total matrices for Case 1:

Case 2: When is non-zero

  • If (i.e., ):
  • We must have
  • Possible pairs for from : and (2 pairs)
  • Possible values for : (2 choices)
  • Total matrices for Case 2:

Final Calculation and Conclusion

  • Total number of elements = (Matrices from Case 1) + (Matrices from Case 2)
  • Total =
  • Final Answer: 8

The Sigma Insight: Types of Matrices

Analyzing the Setup

Welcome, fellow traveler on the road to JEE Advanced mastery. Today, we are going to dissect a problem that, at first glance, looks like a standard matrix exercise but hides a beautiful, elegant structure beneath its surface.
We are dealing with a matrix , where the elements are restricted to the set . The condition given is .

The Algebraic Trap

Many students, in their haste, might look at and think, "Oh, this is just like the scalar identity ." But stop! In the world of matrices, we must be careful.
The binomial expansion is only valid if the matrices commute. Fortunately, the identity matrix is the best friend of any matrix ; it commutes with everything! So, we can safely expand the left-hand side using the binomial theorem:
Since and , this simplifies to:
Now, let's set this equal to the right-hand side of our original equation, . The equation becomes:
Look at the symmetry here. We have an on both sides and a on both sides. They cancel out with such satisfying precision, leaving us with:
Dividing by , we arrive at the core of the problem: . This is the definition of an idempotent matrix. It is a matrix that, when multiplied by itself, remains unchanged.

The Combinatorial Hunt

Now that we know , we need to find the specific values of and that satisfy this. Let's compute explicitly:
Equating to , we get three equations:
1. 2. 3.
From the first two, implies , so . Similarly, . We reject because $(-1)^2 = 1 eq -1$. This gives us possible pairs for .
Now, consider the third equation: . Rearranging, we get . This is where the problem branches into two cases.
Case 1:
If , the equation is satisfied for any and . Since can be or and can be or , we have possible matrices.
Case 2: $b eq 0$
If $b eq 0$, then must be or (2 choices). For the equation to hold, we must have , or .
Given , the pairs that satisfy this are and . That is 2 pairs. So, we have possible matrices.

Final Calculation

Adding the results from our two cases, . We have found that there are exactly 8 such matrices.
This problem is a beautiful reminder that even in complex matrix algebra, the most powerful tool is often a simple, systematic case analysis. Keep practicing, keep visualizing, and most importantly, keep falling in love with the logic behind the math!

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