Sigma Percentile
JEE Main 2022 (28 June Shift 2)
LEVELJEE Main

Animated Solution for Mathematics - Probability: The probability that a randomly chosen one-one function from the set to the set satisfies is :

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Visualized Solution

Defining the Sets

  • Set
  • Set

One-One Function Condition

  • A function is one-one if all elements in the domain map to distinct elements in the codomain.

Total Sample Space

  • Total one-one functions .

The Given Condition

Rearranging the Equation

Case 1:

  • If , then .

Solving Case 1

  • Let . Then .
  • using .
  • This gives 2 ways.

Case 2:

  • If , then .

Solving Case 2

  • Let . Then .
  • using .
  • This gives 2 ways.

Case 3:

  • If , then .

Solving Case 3

  • Let . Then .
  • using .
  • This gives 2 ways.

Checking

  • If , min LHS .
  • Max RHS .
  • Since , there is no solution.

Final Probability

  • Total favorable cases .
  • Probability .

The Sigma Insight: Classical Definition of Probability

Solution Diagram

Analyzing the Landscape

We begin by defining our playground. We have a domain, Set , and a codomain, Set .
We are constructing a one-one function . The term 'one-one' is our golden rule: every element in must map to a unique element in . No two elements in can share the same destination.

The Sample Space

Before we hunt for the specific condition, we must know the total size of our universe. How many one-one functions exist from to ?
We have 5 choices for , 4 for , 3 for , and 2 for . Mathematically, this is the number of permutations of 5 items taken 4 at a time:
This value represents our denominator.

The Constraint

Now, we face the heart of the problem: . This looks intimidating, but let us simplify it.
By rearranging, we get:
We need to find how many assignments of values from satisfy this equality while respecting the one-one constraint.

The Strategy of Anchoring

Why did we choose to focus on ? Because it is multiplied by 2; it is the 'heavyweight' of the equation. By fixing first, we drastically reduce the number of cases we need to check.
Case 1: The equation becomes . We must pick from the remaining set . If we set , then . We need using the remaining set . The only pair that sums to 7 is . Since and can be swapped, this gives us 2 valid functions.
Case 2: The equation becomes . Using the remaining set , if we set , then . We need using . The pair works. Again, swapping gives us 2 valid functions.
Case 3: The equation becomes . Using the remaining set , if we set , then . We need using . The pair works. This gives us 2 more valid functions.

The Boundary

What happens if ? The left side becomes . Even with the smallest possible , the left side is 9.
The maximum possible sum for using the remaining numbers is . Since , there are no solutions here. The same logic applies to .

Final Calculation

We have systematically exhausted the possibilities. We found favorable cases.
The probability is the number of favorable cases divided by the total sample space:
The final probability is .

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