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Data Interview Question

Anticipated Rope Loops

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Solution & Explanation

The problem of tying ropes together randomly until no loose ends remain is a fascinating exercise in probability and combinatorics. The goal is to determine the expected number of loops formed when all ropes are tied.

Understanding the Problem:

  • Initial Setup: You have 100 ropes, each with two loose ends, giving a total of 200 loose ends.
  • Process: Every five minutes, you randomly select two loose ends and tie them together. This continues until no loose ends are left.
  • Objective: Determine the expected number of loops formed.

Key Concepts:

  1. Rope Ends: With 100 ropes, you start with 200 ends.
  2. Random Selection: Each pair of ends is chosen randomly, which can either:
    • Form a new loop (if the ends are from the same rope).
    • Extend an existing rope (if the ends are from different ropes).
  3. Expected Loops: The problem is akin to forming cycles in a graph, where each cycle represents a loop.

Mathematical Derivation:

  • Probability of Forming a Loop:

    • At any given step with N ropes, the probability of selecting two ends from the same rope (forming a loop) is given by:

      P(loop)=12N1P(\text{loop}) = \frac{1}{2N-1}

    • Conversely, the probability of selecting ends from different ropes (not forming a loop) is:

      P(no loop)=112N1=2N22N1P(\text{no loop}) = 1 - \frac{1}{2N-1} = \frac{2N-2}{2N-1}

  • Expected Number of Loops:

    • As each loop reduces the number of ropes by one, the expected number of loops formed can be calculated by summing the probabilities over all steps:

      E(loops)=N=110012N1E(\text{loops}) = \sum_{N=1}^{100} \frac{1}{2N-1}

    • This sum approximates to about 3.284 loops when calculated numerically.

Simulation Approach:

To verify this result, a simulation can be conducted:

  • Setup: Simulate the process of randomly selecting and tying rope ends.
  • Iterations: Run the simulation multiple times (e.g., 10,000 runs) to observe the distribution of loops formed.
  • Results: The simulation should converge to an average number of loops close to the calculated expectation (~3.28).

Conclusion:

The expected number of loops formed when all ropes are tied is approximately 3.28. This result aligns with both theoretical calculations and empirical simulations, demonstrating the elegance of probability in random processes.