Sigma Percentile
JEE Main 2023 (11 April Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Probability: Let be a sample space and be an event. Then is equal to

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Visualized Solution

Defining the Sample Space

  • Sample Space
  • Matrix

Total Elements in Sample Space

  • Total number of elements in

Condition for Invertibility

  • Event : is invertible
  • Complement Event : is singular

The Determinant Equation

Possible Product Values

  • Possible values for and from :
  • Possible products

Case 1:

  • If , pairs (5 pairs)
  • If , pairs also have 5 options.
  • Total matrices

Case 2:

  • If , pair (1 pair)
  • If , pair (1 pair)
  • Total matrices

Case 3:

  • If , pairs (2 pairs)
  • If , pairs (2 pairs)
  • Total matrices

Case 4:

  • If , pair (1 pair)
  • If , pair (1 pair)
  • Total matrices

Total Singular Matrices

  • Total number of singular matrices

Calculating Probability

The Sigma Insight: Classical Definition of Probability

Solution Diagram

The Art of the Complement

A Journey into Matrix Invertibility
Welcome, future engineer. Today, we are going to peel back the layers of a problem that, at first glance, looks like a tedious counting exercise.
We are dealing with a matrix , where each entry is chosen from the set . We want to find the probability that this matrix is invertible.

The Playground of Possibilities

First, we must understand the size of our universe. We have four slots in our matrix, and each slot has three choices.
By the fundamental principle of counting, the total number of matrices in our sample space is:
Now, we could try to count every single invertible matrix, but that would be a chaotic endeavor. Instead, we embrace the elegance of the complement.
We know that a matrix is invertible if and only if its determinant is non-zero. Conversely, it is singular (non-invertible) if . It is far easier to count the singular matrices and subtract that probability from .

The Determinant Condition

For our matrix , the determinant is defined as . For the matrix to be singular, we require , which implies .
This is the heart of the problem. We need to find how many ways we can choose such that the product of the main diagonal equals the product of the anti-diagonal.
Let be the value of these products. Since our entries are in , the possible values for are and . Let's analyze each case systematically.

Case 1

The Zero Product ()
This is the most frequent case. For , at least one of or must be zero.
The possible pairs are . That is pairs.
Similarly, for , there are pairs for . Since these are independent choices, the total number of matrices where is:

Case 2

The Unit Product ()
This is much more restrictive. The only way to get a product of using our set is .
Thus, the only pair for is , and the only pair for is . This gives us:

Case 3

The Product of Two ()
To get a product of , we need the factors and . The pairs can be or .
That gives us pairs for and pairs for . Multiplying these, we get:

Case 4

The Product of Four ()
Finally, the only way to get is . There is only pair for and pair for .
This gives us:

The Final Tally

Now, we sum these up to find the total number of singular matrices:
The probability of picking a singular matrix is:
Finally, the probability of our event (the matrix being invertible) is:
Look at that! By breaking the problem into small, logical steps, we turned a potentially overwhelming task into a series of simple multiplications. This is the essence of JEE Advanced mathematics—not just calculation, but the strategy of simplification.

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