Sigma Percentile
JEE Advanced 1981
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Consider the set of all determinants of order 3 with entries 0 or 1 only. Let be the subset of consisting of all determinants with value 1. Let be the subset of consisting of all determinants with value . Then

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Visualized Solution

Defining the Set

  • Let be the set of all determinants.
  • The entries of these determinants can only be or .
  • A general determinant is represented on the left.

Subsets and

  • Subset contains determinants with a value of .
  • Subset contains determinants with a value of .
  • We need to find the relationship between the number of elements in and .

The Row-Interchange Property

  • Recall a fundamental property of determinants.
  • Interchanging any two rows of a determinant multiplies its value by .
  • If , then swapping gives a new determinant with value .

Constructing the Mapping

  • Let , which means .
  • Define a new determinant by interchanging the first two rows: .
  • This operation defines a mapping .

Verifying the Domain and Codomain

  • Since the entries of are only or , the entries of are also only or .
  • Therefore, is a valid member of the set .
  • Since , we must have .
  • Thus, .

Proving Injectivity

  • Suppose we have two determinants such that .
  • This means their swapped versions are identical: .
  • Swapping the rows back, we get .
  • Thus, the mapping is injective (one-to-one).

Proving Surjectivity

  • For any determinant , we have .
  • If we swap of , we get a determinant with value .
  • Since and , every element in has a pre-image in .
  • Thus, the mapping is surjective (onto).

Establishing the Bijection

  • Since the mapping is both injective and surjective, it is a bijection.
  • A bijection between two finite sets guarantees they have the exact same number of elements.
  • Therefore, the number of elements in is equal to the number of elements in .

Final Conclusion:

  • The number of elements in is equal to the number of elements in .
  • This matches Option (b): has as many elements as .
  • Thus, the correct option is (b).

The Sigma Insight: Properties of Determinants

Solution Diagram

The Landscape of Determinants

Imagine you are standing in front of a massive wall of matrices. Each one is a grid, and every single cell is filled with either a or a .
Your task is to categorize them based on their determinant values. Some will evaluate to , some to , and many will collapse to .
It feels like an impossible mountain of arithmetic, but you do not need to climb it. You only need to find the bridge that connects the two peaks we care about: the set (where ) and the set (where ).

The Magic of Row Operations

In linear algebra, we have a powerful tool known as the row-interchange property. It states that if you swap any two rows of a determinant, the value of the determinant is multiplied by .
Mathematically, if , then swapping two rows results in a new determinant such that:
This is not just a rule; it is a geometric transformation. It tells us that the sign of the determinant is intrinsically linked to the order of the rows.

Building the Bridge

Let us define a mapping . Take any determinant from set . By definition, .
Now, perform a simple operation: swap the first row and the second row to create a new matrix . Because we only swapped rows, the entries of are still just s and s.
This means is still a valid member of our original set . Because of the row-interchange property, the value of this new determinant is:
This confirms that is a member of set . We have successfully built a bridge from to .

The Elegance of the Bijection

To prove that the number of elements in is equal to the number of elements in , we must show that our mapping is a bijection.
First, is it injective? Yes. If two different matrices and in mapped to the same matrix in , we could simply swap the rows of back to recover the original matrices. Since the operation is reversible, must equal .
Second, is it surjective? Yes. For any matrix in , we can swap its first two rows to get a matrix in . Thus, every element in has a corresponding pre-image in .
Because the mapping is both injective and surjective, we have a perfect one-to-one correspondence. The complexity of the matrices vanishes, replaced by the simple, beautiful symmetry of row operations.
The correct answer is that has as many elements as .

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