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An integrally-convex set is the discrete geometry analogue of the concept of convex set in geometry.

A subset X of the integer grid is integrally convex if any point y in the convex hull of X can be expressed as a convex combination of the points of X that are "near" y, where "near" means that the distance between each two coordinates is less than 1. [1]

Definitions

Let X be a subset of .

Denote by ch(X) the convex hull of X. Note that ch(X) is a subset of , since it contains all the real points that are convex combinations of the integer points in X.

For any point y in , denote near(y)  := {z in | |zi - yi| < 1 for all i in {1,...,n} }. These are the integer points that are considered "nearby" to the real point y.

A subset X of is called integrally convex if every point y in ch(X) is also in ch(X ∩ near(y)).[2]

Example

Let n = 2 and let X = { (0,0), (1,0), (2,0), (2,1) }. Its convex hull ch(X) contains, for example, the point y = (1.2, 0.5).

The integer points nearby y are near(y) = {(1,0), (2,0), (1,1), (2,1) }. So X ∩ near(y) = {(1,0), (2,0), (2,1)}. But y is not in ch(X ∩ near(y)).

Therefore X is not integrally-convex.[1]

In contrast, the set { (0,0), (1,0), (2,0), (1,1), (2,1) } is integrally-convex.

References

  1. ^ a b Yang, Zaifu (2009-12-01). "Discrete fixed point analysis and its applications". Journal of Fixed Point Theory and Applications. 6 (2): 351–371. doi:10.1007/s11784-009-0130-9. ISSN 1661-7746.
  2. ^ Chen, Xi; Deng, Xiaotie (2006). Chen, Danny Z.; Lee, D. T. (eds.). "A Simplicial Approach for Discrete Fixed Point Theorems". Computing and Combinatorics. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer: 3–12. doi:10.1007/11809678_3. ISBN 978-3-540-36926-4.