MathIsimple

Probability Theory – Problem 62: find the probability that all ducklings fall within the same semicircle

Question

(7+8 points) 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 circle. For each duckling's position PiP_i, draw the ray from the center OO of the pond through PiP_i, intersecting the circle at PiP_i^*. Let Θi\Theta_i denote the central angle measured 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 each other duckling PiP_i, let Θ^i\hat{\Theta}_i be the central angle measured 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 the transformation formula from ``absolute coordinates'' to ``relative coordinates''. Then find 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 measured counterclockwise from P0P_0^* to PiP_i^*, i.e., X^i=Θ^i2π\hat{X}_i = \dfrac{\hat{\Theta}_i}{2\pi}. When XiX0X_i \geqslant X_0, the counterclockwise arc corresponds to the proportion XiX0X_i - X_0; when Xi<X0X_i < X_0, the counterclockwise path crosses the angle 00 (i.e., 2π2\pi), corresponding to the proportion 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 uniformly distributed on a circle of circumference 11. Let the nn points divide 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 in 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 different kk are mutually exclusive.

Consider the arc length LiL_i starting from point PiP_i in the counterclockwise direction. The event Li>12L_i > \dfrac{1}{2} means that the counterclockwise arc of length 12\dfrac{1}{2} starting from PiP_i contains no other points, or equivalently, all other n1n-1 points lie in the clockwise semicircle from PiP_i. For a fixed PiP_i, the probability that each of the remaining n1n-1 independently distributed points falls in the specified semicircle is (12)n1(\dfrac{1}{2})^{n-1}. Since there are nn points and the corresponding mutually exclusive events number nn, by the addition rule for mutually exclusive events, the probability that all points lie in 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).


I. Checkpoints (max 7 pts)

1. Coordinate transformation formula (2 pts)

  • [mutually exclusive] Credit is awarded as long as the correct transformation logic is written:
  • Complete formula with "wrap-around" handling (piecewise function form, or the XiX0+1X_i - X_0 + 1 case, or modular form (XiX0)(mod1)(X_i - X_0) \pmod 1): 2 pts
  • Only writing XiX0X_i - X_0 without considering the case Xi<X0X_i < X_0 requiring addition of 1 or modular reduction: 1 pt

2. Probability computation (5 pts)

Score exactly one path below | if multiple paths appear, take the highest score; do not add across paths.

  • Path A: Arc gap / mutually exclusive events method (standard approach)
  • Event transformation [additive]:
  • State that "all points in the same semicircle" is equivalent to "there exists an arc gap greater than 12\frac{1}{2} between adjacent points on the circle" or "there exists a point PiP_i such that all other points lie within the clockwise semicircle of length 12\frac{1}{2} from PiP_i": 1 pt
  • State that the above events for different ii are mutually exclusive (since two gaps greater than 12\frac{1}{2} cannot coexist when the total circumference is 1): 1 pt
  • Base probability computation [additive]:
  • Compute 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 [additive]:
  • Use 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 written without the process, no credit for this point; the logic of the factor nn must be shown.)*

  • Path B: Geometric probability / integration method
  • Integral formulation [additive]:
  • Correctly set up the integral expression (typically involving an nn-fold symmetric region integral, or integrating over the distribution of the maximum gap): 2 pts
  • The integral limits or region partition implicitly contains the "mutual exclusivity" or "symmetry" logic (i.e., reflects the justification for the factor nn): 1 pt
  • Computation [additive]:
  • Correctly evaluate the definite integral: 1 pt
  • Conclusion [additive]:
  • Obtain the correct result n2n1\frac{n}{2^{n-1}}: 1 pt

2. Zero-credit items

  • Merely copying the definitions of Θi\Theta_i or XiX_i from the problem statement without any formula derivation.
  • In the probability part, merely guessing the result as 11, 12\frac{1}{2}, or another constant without any probabilistic model support.
  • Writing the coordinate transformation as a multiplicative/divisive relationship (e.g., Xi/X0X_i/X_0) or a distance formula (e.g., XiX0|X_i - X_0|, without reflecting directionality).

3. Deductions

*Apply at most one of the following (the most severe); total score cannot go below 0.*

  • Missing the factor nn: In the probability computation, obtaining (12)n1(\frac{1}{2})^{n-1} but neglecting that there are nn mutually exclusive cases (i.e., assuming the points must lie in the semicircle starting from a specific point rather than any semicircle): deduct 2 pts (or cap that part at 3/5).
  • Degrees of freedom error: Writing the result as n2n\frac{n}{2^n} (extra factor of 2 in the denominator), typically from not fixing a reference frame or overcounting independent variables: deduct 1 pt.
  • Logical leap: Directly asserting P(Gapi>1/2)=1/2P(\text{Gap}_i > 1/2) = 1/2 leading to an incorrect result (e.g., n/2n/2): that part receives 0 pts.
  • Sign error: Reversing the direction in the transformation formula (e.g., X0XiX_0 - X_i) but with internally consistent logic: deduct 1 pt.

Total (max 7)

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