MathIsimple

Probability Theory – Problem 38: determine the probability that all ducklings fall within the same semicircle

Question

7+8 pts) This problem discusses the probability that n3n \geqslant 3 ducklings swimming independently in a circular pond all fall within the same semicircle. Suppose their positions (treated as point masses) are {Pi}i=0n1\{P_i\}_{i = 0}^{n-1}. Fix a point OO^* on the boundary of the pond. For each duckling's position PiP_i, draw the ray from the center OO of the pond through PiP_i, and let PiP_i^* denote its intersection with the circumference. Let Θi\Theta_i denote the central angle traversed when moving counterclockwise from OO^* to PiP_i^*; we may assume Θii.i.d.U(0,2π)\Theta_i \overset{\text{i.i.d.}}{\sim} U(0,2\pi). Define Xi=Θi2π\displaystyle X_i = \frac{\Theta_i}{2\pi}, called the ``absolute coordinate'' of each duckling. Fix one duckling P0P_0, called the ``lead duckling,'' and set Θ^0:=0\hat{\Theta}_0 := 0. For every other duckling PiP_i, let Θ^i\hat{\Theta}_i denote the central angle traversed when moving counterclockwise from P0P_0^* to PiP_i^*. Define the ``relative coordinate'' X^i=Θ^i2π\displaystyle \hat{X}_i = \frac{\hat{\Theta}_i}{2\pi}.

Write down the transformation formula from absolute coordinates to relative coordinates, and determine the probability that all nn ducklings fall within the same semicircle.

Step-by-step solution

The absolute coordinate XiX_i and the central angle Θi\Theta_i satisfy Xi=Θi2πX_i = \dfrac{\Theta_i}{2\pi}, where Xi[0,1)X_i \in [0, 1). The relative coordinate X^i\hat{X}_i is determined by the angle Θ^i\hat{\Theta}_i obtained by rotating counterclockwise from P0P_0^* to PiP_i^*, namely X^i=Θ^i2π\hat{X}_i = \dfrac{\hat{\Theta}_i}{2\pi}. When XiX0X_i \geqslant X_0, the proportion corresponding to the counterclockwise arc is XiX0X_i - X_0; when Xi<X0X_i < X_0, the counterclockwise path crosses the angle 00 (i.e., 2π2\pi), and the corresponding proportion is 1+XiX01 + X_i - X_0. Therefore, the transformation formula from absolute to relative coordinates is: X^i={XiX0,XiX0XiX0+1,Xi<X0\hat{X}_i = \begin{cases} X_i - X_0, & X_i \geqslant X_0 \\ X_i - X_0 + 1, & X_i < X_0 \end{cases} This formula can also be written uniformly as X^i=(XiX0)(mod1)\hat{X}_i = (X_i - X_0) \pmod 1. Regarding the probability that all nn ducklings fall within the same semicircle, this is equivalent to the existence of an arc gap of length greater than 12\dfrac{1}{2} among the nn points randomly distributed on a circle of circumference 11. Let the nn points partition the circle into nn arcs of lengths L1,L2,,LnL_1, L_2, \dots, L_n, satisfying k=1nLk=1\sum_{k=1}^n L_k = 1. The event "all points lie within the same semicircle" is equivalent to "there exists some kk such that Lk>12L_k > \dfrac{1}{2}." Since the total length is 11, it is impossible for two arcs to simultaneously have length greater than 12\dfrac{1}{2}, so the events {Lk>12}\{L_k > \dfrac{1}{2}\} for distinct kk are mutually exclusive. Consider the arc length LiL_i starting from the ii-th point (denoted PiP_i) in the counterclockwise direction to the next adjacent point. The event Li>12L_i > \dfrac{1}{2} means that no other point lies within the counterclockwise arc of length 12\dfrac{1}{2} starting from PiP_i, or equivalently, all remaining n1n-1 points fall within the clockwise semicircle of length 12\dfrac{1}{2} from PiP_i. For a fixed PiP_i, the probability that the remaining n1n-1 independently distributed points all fall within the specified semicircle is (12)n1(\dfrac{1}{2})^{n-1}. Since there are nn points and nn corresponding mutually exclusive events, by the addition rule for mutually exclusive events, the probability that all points lie within the same semicircle is P=i=1n(12)n1=n(12)n1=n2n1P = \sum_{i=1}^n (\dfrac{1}{2})^{n-1} = n(\dfrac{1}{2})^{n-1} = \dfrac{n}{2^{n-1}}.

Final answer

The transformation formula is X^i=(XiX0)(mod1)\hat{X}_i = (X_i - X_0) \pmod 1; the probability is n2n1\dfrac{n}{2^{n-1}}.

Marking scheme

The following is the detailed marking scheme for this problem (maximum 7 points).


Part I. Checkpoints (max 7 pts)

1. Coordinate Transformation Formula (2 pts)

  • [Mutually exclusive] Full marks are awarded provided the correct transformation logic is presented:
  • Writes the complete formula with wrap-around handling (e.g., piecewise form, or the XiX0+1X_i - X_0 + 1 case, or the modular form (XiX0)(mod1)(X_i - X_0) \pmod 1): 2 pts
  • Writes only XiX0X_i - X_0 without addressing the case Xi<X0X_i < X_0 (i.e., no addition of 1 or modular reduction): 1 pt

2. Probability Computation (5 pts)

Choose ONE of the following paths for grading | If multiple paths apply, take the highest-scoring path; do not combine scores across paths

  • Path A: Arc-gap / Mutually Exclusive Events Method (standard solution approach)
  • Event reformulation [cumulative]:
  • States that "all points in the same semicircle" is equivalent to "there exists an arc gap between adjacent points of length at least 12\frac{1}{2}" or "there exists a point PiP_i such that all remaining points lie within the clockwise semicircle of length 12\frac{1}{2} from PiP_i": 1 pt
  • States that the above events for different ii are mutually exclusive (since two gaps of length >12> \frac{1}{2} cannot coexist when the total circumference is 1): 1 pt
  • Elementary probability computation [cumulative]:
  • Computes that for a fixed point (or a specific gap), the probability of satisfying the condition is (12)n1(\frac{1}{2})^{n-1}: 2 pts
  • Conclusion [cumulative]:
  • Uses mutual exclusivity to sum the probabilities (multiply by nn), obtaining the final result n2n1\frac{n}{2^{n-1}}: 1 pt

*(Note: If only the result is stated without justification, this point is not awarded; the logic of the factor nn must be demonstrated.)*

  • Path B: Geometric Probability / Integration Method
  • Integral formulation [cumulative]:
  • Correctly sets up the integral expression (typically involving an nn-fold symmetric region integral, or an integral over the distribution of the maximum gap): 2 pts
  • The integration limits or region decomposition implicitly incorporates the mutual exclusivity or symmetry argument (i.e., justifies the factor of nn): 1 pt
  • Computation [cumulative]:
  • Correctly evaluates the definite integral: 1 pt
  • Conclusion [cumulative]:
  • Obtains the correct result n2n1\frac{n}{2^{n-1}}: 1 pt

Part II. Zero-Credit Items

  • Merely copies the definitions of Θi\Theta_i or XiX_i from the problem statement without any derivation.
  • For the probability part, guesses the result as 11, 12\frac{1}{2}, or some other constant with no supporting probabilistic model.
  • Writes the coordinate transformation as a multiplicative or divisive relation (e.g., Xi/X0X_i/X_0) or as a distance formula (e.g., XiX0|X_i - X_0|, failing to reflect directionality).

Part III. Deductions

*Apply at most one of the following (whichever is most severe). The total score after deduction cannot fall below 0.*

  • Missing factor of nn: In the probability computation, obtains (12)n1(\frac{1}{2})^{n-1} but neglects that there are nn mutually exclusive cases (i.e., restricts to a semicircle starting from one specific point rather than any point): deduct 2 pts (or cap this section at 3/5).
  • Degrees-of-freedom error: Result is n2n\frac{n}{2^n} (denominator has an extra factor of 2), typically caused by failing to fix a reference frame or over-counting independent variables: deduct 1 pt.
  • Logical leap: Directly asserts P(Gapi>1/2)=1/2P(\text{Gap}_i > 1/2) = 1/2, leading to an incorrect result (e.g., n/2n/2): 0 pts for this section.
  • Sign error: Transformation formula has reversed direction (e.g., X0XiX_0 - X_i) but the logic is otherwise self-consistent: deduct 1 pt.

Total (max 7)

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