TAOCP 1.3.3 Exercise 26
Let $S_1, S_2, \ldots, S_M$ be subsets of a fixed universe $U$.
Section 1.3.3: Applications to Permutations
Exercise 26. [M24] Extend the principle of inclusion and exclusion to obtain a formula for the number of elements that are in exactly $r$ of the subsets $S_1, S_2, \ldots, S_M$. (The text considers only the case $r = 0$.)
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Solution
Let $S_1, S_2, \ldots, S_M$ be subsets of a fixed universe $U$. For each element $x \in U$, define
$$ t(x) = #{i : x \in S_i}. $$
The quantity required is
$$ N_r = #{x \in U : t(x) = r}. $$
For each integer $k$ with $0 \le k \le M$, define
$$ A_k = \sum_{1 \le i_1 < i_2 < \cdots < i_k \le M} \left| S_{i_1} \cap S_{i_2} \cap \cdots \cap S_{i_k} \right|. $$
Each element $x \in U$ contributes to $A_k$ once for each $k$-subset of the indices $i$ such that $x \in S_i$. Hence the contribution of $x$ to $A_k$ equals $\binom{t(x)}{k}$, so
$$ A_k = \sum_{x \in U} \binom{t(x)}{k}. $$
Consider the expression
$$ \sum_{k=r}^{M} (-1)^{k-r} \binom{k}{r} A_k. $$
Substitution of the expression for $A_k$ yields
$$ \sum_{k=r}^{M} (-1)^{k-r} \binom{k}{r} \sum_{x \in U} \binom{t(x)}{k} = \sum_{x \in U} \sum_{k=r}^{M} (-1)^{k-r} \binom{k}{r} \binom{t(x)}{k}. $$
For fixed $x$, the summand vanishes when $k > t(x)$, so the inner sum reduces to
$$ \sum_{k=r}^{t(x)} (-1)^{k-r} \binom{k}{r} \binom{t(x)}{k}. $$
Fix $t \ge 0$ and consider
$$ \sum_{k=r}^{t} (-1)^{k-r} \binom{k}{r} \binom{t}{k}. $$
The identity
$$ \binom{k}{r} \binom{t}{k} = \binom{t}{r} \binom{t-r}{k-r} $$
transforms the sum into
$$ \binom{t}{r} \sum_{k=r}^{t} (-1)^{k-r} \binom{t-r}{k-r}. $$
With the change of variable $j = k-r$, this becomes
$$ \binom{t}{r} \sum_{j=0}^{t-r} (-1)^j \binom{t-r}{j} = \binom{t}{r} (1-1)^{t-r}. $$
If $t > r$, then $(1-1)^{t-r} = 0$, hence the expression equals $0$. If $t = r$, then the sum reduces to $\binom{r}{r} = 1$. Therefore,
$$ \sum_{k=r}^{t} (-1)^{k-r} \binom{k}{r} \binom{t}{k} = \begin{cases} 1, & t=r,\ 0, & t \ne r. \end{cases} $$
Consequently, each element $x \in U$ contributes $1$ to the total sum if and only if $t(x)=r$, and contributes $0$ otherwise. Hence the whole sum equals $N_r$:
$$ N_r = \sum_{k=r}^{M} (-1)^{k-r} \binom{k}{r} A_k. $$
This completes the proof. ∎