A beam of k particles is caught by n counters placed in a…
A beam of $k$ particles is caught by $n$ counters placed in a row, which register particles. Each particle can fall on any counter with equal probability. What is the probability that exactly $r$ counters register particles?
Explanation of Method
Each of the $k$ particles independently chooses one of $n$ counters, so there are $n^k$ equally likely outcomes. "Exactly $r$ counters register" means: the particles land in some set of $r$ counters and every one of these $r$ counters gets at least one particle. We choose the $r$ counters in $\binom nr$ ways and count the ways to distribute $k$ particles onto $r$ counters with none left empty, using the inclusion–exclusion principle.
Step 1: All outcomes
Particle $1$ can hit any of $n$ counters, particle $2$ any of $n$, and so on. The particles are distinguishable (they arrive one by one), so
\[ |\Omega| = n^k. \]
Step 2: Choose which counters register
The $r$ registering counters can be chosen in $\binom nr$ ways. By symmetry each choice gives the same number of outcomes, so it is enough to count for one fixed set of $r$ counters.
Step 3: Fill $r$ fixed counters, none left empty
Count the ways to send $k$ particles into $r$ fixed counters so that every counter gets at least one. Let $E_i$ = "counter $i$ gets nothing". Without restriction there are $r^k$ ways. If $i$ given counters must stay empty, the particles use only $r-i$ counters: $(r-i)^k$ ways. By inclusion–exclusion,
\[ T(k,r) = r^k - \binom r1(r-1)^k + \binom r2(r-2)^k - \dots = \sum_{i=0}^{r}(-1)^i\binom ri(r-i)^k. \]
$T(k,r)$ is the number of onto maps from $k$ particles to $r$ counters. It equals $r!\,S(k,r)$, where $S(k,r)$ is the Stirling number of the second kind (the number of ways to split $k$ objects into $r$ non-empty groups).
Step 4: The probability
\[ \boxed{P_r = \frac{\binom nr}{n^k}\sum_{i=0}^{r}(-1)^i\binom ri(r-i)^k = \frac{\binom nr\,r!\,S(k,r)}{n^k}, \qquad 1\le r\le\min(k,n).} \]
Step 5: Example — $k=5$ particles, $n=4$ counters
$|\Omega|=4^5=1024$.
| $r$ | $\binom4r\,r!\,S(5,r)$ | Probability |
|---|---|---|
| $1$ | $\binom41\cdot1\cdot1=4$ | $4/1024\approx0.0039$ |
| $2$ | $\binom42\cdot2\cdot15=180$ | $180/1024\approx0.1758$ |
| $3$ | $\binom43\cdot6\cdot25=600$ | $600/1024\approx0.5859$ |
| $4$ | $\binom44\cdot24\cdot10=240$ | $240/1024\approx0.2344$ |
| total | $1024$ | $1$ ✓ |
Most often $3$ of the $4$ counters register particles.
Step 6: Special cases
- $r=1$: all particles hit the same counter: $P_1 = n/n^k = n^{1-k}$.
- $r=k\le n$: every particle hits a different counter: $P_k = \binom nk k!/n^k = n(n-1)\cdots(n-k+1)/n^k$ (the birthday-problem formula, Problem 60).
Result
| Answer | |
|---|---|
| Probability of exactly $r$ registering counters | $P_r=\dfrac{\binom nr}{n^k}\sum_{i=0}^{r}(-1)^i\binom ri(r-i)^k$ |
| With Stirling numbers | $P_r=\binom nr\,r!\,S(k,r)/n^k$ |