Sigma Percentile
JEE Advanced 2019
LEVELJEE Advanced

Animated Solution for Mathematics - Probability: Let denote the number of elements in set . Let be a sample space, where each element is equally likely to occur. If and are independent events associated with , then the number of ordered pairs such that , equals

Enter Numerical Value:

Visualized Solution

Sample Space & Events

  • Sample space size:
  • Let the size of event be
  • Let the size of event be

  • For independent events:
  • Probability of an event :

  • Substituting probabilities:
  • Let the intersection size be

  • Simplifying the equation:
  • Since must be an integer, must be a multiple of .

  • Given constraint:
  • Which translates to:

  • If , then (always a multiple of ).
  • Since , possible values for are .
  • Intersection size:

  • If : is a multiple of (Rejected, as )
  • If : is a multiple of is a multiple of
  • Since , we must have
  • Intersection size:

  • If : is a multiple of is even
  • Since , we must have
  • Intersection size:
  • If : is a multiple of (Rejected, as )

  • We need to distribute elements into distinct regions.
  • Choose elements for : ways
  • Choose elements for only: ways
  • Choose elements for only: ways

  • For :
  • Number of ways =
  • ordered pairs

  • For :
  • Number of ways =
  • ordered pairs

  • For , Set (only way to choose ).
  • Set can be any subset with .
  • Number of ways to choose
  • ordered pairs

  • Total ordered pairs =
  • Key Takeaway: Independence conditions often translate to strict divisibility constraints on set sizes.

The Sigma Insight: Addition and Multiplication Theorems

Solution Diagram

Analyzing the Setup

Imagine you are standing before a sample space containing distinct, equally likely elements. You are tasked with choosing two subsets, and , such that they are statistically independent.
In the world of probability, independence is a powerful, elegant symmetry. It tells us that the occurrence of provides absolutely no information about the occurrence of .
Mathematically, this is defined by the beautiful relation . But how does this abstract concept translate into the concrete reality of counting sets?

The Hidden Constraint

First, let us define our variables. Let and . Since our sample space has elements, the probability of any event is simply .
Substituting this into our independence condition, we get:
If we let , the equation simplifies to . Here is the moment of truth: must be an integer because it represents the number of elements in the intersection.
This means must be a multiple of . This is not just an algebraic requirement; it is the geometric heartbeat of the problem. It restricts the possible sizes of our sets and in a way that feels almost like a puzzle waiting to be solved.

Exploring the Possibilities

We know that . Let us test the values of systematically.
If , then , which is always a multiple of . Since , can be any integer from to . This is a special case because is the entire sample space .
If , then must be a multiple of . This forces to be a multiple of . But since , there are no solutions here.
If , then must be a multiple of , which means must be a multiple of . Thus, must be a multiple of . Given , the only solution is . This gives us an intersection size .
If , then must be a multiple of , meaning must be even. Given , the only solution is . This gives us an intersection size .

The Combinatorial Architecture

Now that we have our valid triplets , we must count the number of ways to actually construct these sets. We use the multinomial coefficient logic.
We have elements to distribute into four distinct regions: the intersection, the part of only, the part of only, and the part outside both. The number of ways to choose these is given by:
For the case , we calculate:
For the case , we calculate:
For the case , is fixed as the set . Since , can be any subset of except the empty set and the set itself. The number of such subsets is .

The Grand Total

Summing these up, we find the total number of valid pairs is:
We have navigated the constraints, respected the laws of probability, and arrived at the solution. Remember, in JEE Advanced, the math is never just about the final number; it is about the elegance of the path taken.
You have successfully translated a condition of independence into a rigorous counting problem. The final answer is 422.

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