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Convex set
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=== Minkowski addition === {{Main|Minkowski addition}} [[File:Minkowski sum graph - vector version.svg|thumb|alt=Three squares are shown in the nonnegative quadrant of the Cartesian plane. The square {{math|''Q''<sub>1</sub> {{=}} [0, 1] Γ [0, 1]}} is green. The square {{math|''Q''<sub>2</sub> {{=}} [1, 2] Γ [1, 2]}} is brown, and it sits inside the turquoise square {{math|1=Q<sub>1</sub>+Q<sub>2</sub>{{=}}[1,3]Γ[1,3]}}.|[[Minkowski addition]] of sets. The <!-- [[Minkowski addition|Minkowski]] -->[[sumset|sum]] of the squares Q<sub>1</sub>=[0,1]<sup>2</sup> and Q<sub>2</sub>=[1,2]<sup>2</sup> is the square Q<sub>1</sub>+Q<sub>2</sub>=[1,3]<sup>2</sup>.]] In a real vector-space, the ''[[Minkowski addition|Minkowski sum]]'' of two (non-empty) sets, {{math|''S''<sub>1</sub>}} and {{math|''S''<sub>2</sub>}}, is defined to be the [[sumset|set]] {{math|''S''<sub>1</sub> + ''S''<sub>2</sub>}} formed by the addition of vectors element-wise from the summand-sets <math display=block>S_1+S_2=\{x_1+x_2: x_1\in S_1, x_2\in S_2\}.</math> More generally, the ''Minkowski sum'' of a finite family of (non-empty) sets {{math|''S<sub>n</sub>''}} is <!-- defined to be --> the set <!-- of vectors --> formed by element-wise addition of vectors<!-- from the summand-sets --> <math display=block> \sum_n S_n = \left \{ \sum_n x_n : x_n \in S_n \right \}.</math> For Minkowski addition, the ''zero set'' {{math|{0} }} containing only the [[null vector|zero vector]] {{math|0}} has [[identity element|special importance]]: For every non-empty subset S of a vector space <math display=block>S+\{0\}=S;</math> in algebraic terminology, {{math|{0} }} is the [[identity element]] of Minkowski addition (on the collection of non-empty sets).<ref>The [[empty set]] is important in Minkowski addition, because the empty set annihilates every other subset: For every subset {{mvar|S}} of a vector space, its sum with the empty set is empty: <math>S+\emptyset=\emptyset</math>.</ref>
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