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Question #41800

Difficulty: 8/10 | 🟢 Free

The Question

Let SS be the sample space of all functions f:A→Af: A \to A, where A={1,2,3,4}A = \{1, 2, 3, 4\}. A function is chosen at random from SS with uniform probability. Define an equivalence relation ∼\sim on SS by f∼g  ⟺  Range(f)=Range(g)f \sim g \iff \text{Range}(f) = \text{Range}(g). Let CfC_f denote the equivalence class containing ff. Let EE be the event that the chosen function satisfies f(f(x))=f(x)f(f(x)) = f(x) for all x∈Ax \in A. Let FF be the event that the chosen function belongs to an equivalence class of size exactly 1616. Find the conditional probability P(E∣F)P(E \mid F).

Options

  • A.

    14\frac{1}{4}

  • B.

    27\frac{2}{7}

  • C.

    0

  • D.

    \text{Undefined}

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Correct Answer

Step-by-Step Solution

Explanation

How the Examiner Thinks

Bridge

Practice problems that bridge the gap between foundational theory and advanced practical application.

Concepts Behind This Question

Conditional Probability Constraints|Equivalence Class Partitioning|The Empty Set Trap

Why This Question Is Tricky

Common Mistakes

This question targets the 'Empty Set Trap' and the 'Denominator Zero' fallacy in conditional probability.

Students often mechanically apply the conditional probability formula P(E∣F)=P(E∩F)/P(F)P(E|F) = P(E \cap F)/P(F) without verifying if the conditioning event FF is actually possible.

Here, FF relies on an equivalence class having exactly 16 elements.

A classic combinatorial error is assuming the number of functions with a range of size 2 is 24=162^4 = 16, forgetting to subtract the non-surjective cases.

Students making this error will incorrectly assume FF is non-empty and calculate a spurious probability of 1/41/4 (since there are 24 idempotent functions out of the flawed 96).

Careful verification reveals F=∅F = \emptyset, making the conditional probability undefined, thereby separating rote learners from those who rigorously check constraints.

Quick Facts About This Question

Question Information

SubjectMathematics
ChapterProbability - Class 12
ConceptConditional Probability Constraints
Difficulty8
Cognitive Load7
Target Solve Time160 sec
AccessFree