Splitting n labeled objects into ordered blocks of prescribed sizes produces the multinomial coefficient. A small computation will anchor the general statement before the abstraction takes over.
The data
Enumerative combinatorics turns a finite set \(\Omega\) into several reversible descriptions. Binomial coefficients \(\binom nk\) appear whenever a choice forgets order but remembers size.
The first display fixes the mathematical data. I label it \(\mathsf{data}\) mentally, while the next is the \(\mathsf{claim}\); the bridge between them is the displayed \(\Longrightarrow\), not an automatic implication.
Derivation
The middle display is intentionally dense: it is where signs, bounds, multiplicities, or normalising factors are most likely to be lost.
Invariant content
The compact alignment is a local map of the argument: assumptions on the first row, consequence on the second. Any generalisation must preserve that dependency.
Scope
A formula with the correct magnitude can still count the wrong objects. The proof must explain whether order, repetition, labels, and empty parts are allowed.
The final box is a summary, not a new assumption; the proof still lives in the definitions and the intervening calculation. The source keeps each scope delimiter visible for later inspection.