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Occupancy Problem


An occupancy problem asks how objects, conventionally called balls, can be distributed among containers, conventionally called boxes (Feller 1968). Variants specify whether the balls and boxes are distinguishable or indistinguishable and whether empty boxes are allowed. These choices give the cases organized by the twelvefold way.

For m distinguishable balls and n distinguishable boxes, a placement has an occupancy vector (r_1,...,r_n), where r_i is the number of balls in box i and sum_(i)r_i=m. The number of placements having a specified occupancy vector is the multinomial coefficient

 (m!)/(r_1!r_2!...r_n!).

In probabilistic occupancy problems, a probability measure is specified on the set of possible assignments, and questions are asked about such quantities as the numbers of empty or multiply occupied boxes. The classical occupancy problem uses box choices that are independent and identically distributed according to the discrete uniform distribution. The coupon collector's problem asks how many independent ball placements are required before every box is occupied, while Dirichlet's box principle gives deterministic conditions forcing multiple occupancy.


See also

Classical Occupancy Problem, Coupon Collector's Problem, Dirichlet's Box Principle, Discrete Uniform Distribution, Distinguishable Objects, Independent and Identically Distributed, Indistinguishable Objects, Probability Measure, Twelvefold Way

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References

Feller, W. An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd ed. New York: Wiley, 1968.

Cite this as:

Weisstein, Eric W. "Occupancy Problem." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/OccupancyProblem.html

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