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An impartial game is a game in which both players have the same legal moves from any given position. Under the normal-play convention, a player with no legal move loses. For finite games without draws, Grundy numbers encode positions for the Sprague-Grundy theorem.

The minimum excludant of a finite set $S$ of nonnegative integers is the smallest nonnegative integer absent from $S$:For example, $\mathrm{mex}\{0,1,3\}=2$, while $\mathrm{mex}\varnothing =0$ and $\mathrm{mex}\{1,3\}=0$. It always exists and is at most $|S|$: the $|S|+1$ candidates $0,1,\dots ,|S|$ cannot all belong to a set of cardinality $|S|$.

In Sprague-Grundy theory, the Grundy number of a position in a finite acyclic impartial game is the mex of the values of its legal successor positions. The minimum excludant therefore converts the available moves into a reusable numerical description of a game position.

A Nim heap of size $n$ contains $n$ counters and permits removing any positive number, leaving a heap of any size $0\le k<n$. Under the normal-play convention, its Grundy number is $n$: the reachable values are exactly $0,\dots ,n-1$, whose mex is $n$.

For several heaps, a turn changes exactly one heap. Their combined value is the Nim-sum of the heap sizes, so heaps of sizes three and three form a losing position even though either heap alone is winning. The ability to remove arbitrarily many counters is part of the rule; a bounded-removal subtraction game has different values.

Every finite acyclic impartial game under the normal-play convention has a Grundy number. The Grundy number of a sum of independent games is the bitwise exclusive or of their individual Grundy numbers, so the sum is losing exactly when that value is zero.

Sprague-Grundy theory studies finite acyclic impartial games under the normal-play convention by assigning each position a Grundy number. The assignment recursively takes the minimum excludant of the values of all legal followers. The Sprague-Grundy theorem then reduces a disjunctive sum of games to the bitwise exclusive or of its component values. This framework explains both why a zero value is losing and how independently understood games can be combined without exploring the entire product of their state spaces.

For arrays indexed by $b$-bit nonnegative integers, their XOR convolution is $(a{\ast }_{\oplus }c{)}_r={\sum }_i{a}_i{c}_{i\oplus r}$, where $\oplus$ is bitwise exclusive or. If entries count choices of Grundy numbers, its repeated application counts sums of impartial games with a specified combined Grundy number. The Hadamard transform turns this operation into pointwise multiplication.