The Minkowski sum of subsets of a vector space is . Minkowski addition also makes sense for nonconvex sets; translations and positive dilations commute with it.
In , the sets and are closed because their points have no finite accumulation point. Their Minkowski sum contains but does not contain zero, since has no positive-integer solution. Compactness of one summand is a useful sufficient condition missing from this counterexample.
In Euclidean space, a Minkowski sum of a compact set and a closed set is closed. From any convergent sequence , extract a convergent subsequence of using compactness. The corresponding then converges to the difference of the two limits, which lies in . If is also bounded, the sum is bounded and therefore compact.
For nonempty open sets , the Lebesgue measure of their Minkowski sum satisfiesIt also holds for compact sets and in standard measurable-set formulations with the appropriate measurability qualification. Normalize both volumes to one and apply the Prékopa–Leindler inequality to indicator functions.
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Minkowski addition is an operation defined on two sets (usually in vector spaces) that forms a new set.