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Discrepancy of hypergraphs : ウィキペディア英語版
Discrepancy of hypergraphs
Discrepancy of hypergraphs is an area of discrepancy theory.
== Hypergraph discrepancies in two colors ==

In the classical setting, we aim at partitioning the vertices of a hypergraph into two classes in such a way that ideally each hyperedge contains the same number of vertices in both classes. A partition into two classes can be represented by a coloring \chi \rightarrow \. We call -1 and +1 ''colors''. The color-classes \chi^(-1) and \chi^(+1) form the corresponding partition. For a hyperedge E \in \mathcal, set
:\chi(E) := \sum_ \chi(v).
The ''discrepancy of \mathcal with respect to \chi'' and the ''discrepancy of \mathcal'' are defined by
:disc(\mathcal,\chi) := \max_) := \min_, \chi).
These notions as well as the term 'discrepancy' seem to have appeared for the first time in a paper of Beck.〔J. Beck: "Roth's estimate of the discrepancy of integer sequences is nearly sharp", page 319-325. Combinatorica, 1, 1981〕 Earlier results on this problem include the famous lower bound on the discrepancy of arithmetic progressions by Roth〔K. F. Roth: "Remark concerning integer sequences", pages 257–260. Acta Arithmetica 9, 1964〕 and upper bounds for this problem and other results by Erdős and Spencer〔J. Spencer: "A remark on coloring integers", pages 43–44. Canad. Math. Bull. 15, 1972.〕〔P. Erdős and J. Spencer: "Imbalances in k-colorations", pages 379–385. Networks 1, 1972.〕 and Sárközi (described on p. 39).〔P. Erdős and J. Spencer: "Probabilistic Methods in Combinatorics." Akadémia Kiadó, Budapest, 1974.〕 At that time, discrepancy problems were called quasi-Ramsey problems.
To get some intuition for this concept, let's have a look at a few examples.
* If all edges of \mathcal intersect trivially, i.e. E_1 \cap E_2 = \emptyset for any two distinct edges E_1, E_2 \in \mathcal, then the discrepancy is zero, if all edges have even cardinality, and one, if there is an odd cardinality edge.
* The other extreme is marked by the ''complete hypergraph'' (V, 2^V). In this case the discrepancy is \lceil \frac |V|\rceil. Any 2-coloring will have a color class of at least this size, and this set is also an edge. On the other hand, any coloring \chi with color classes of size \lceil \frac |V|\rceil and \lfloor \frac |V|\rfloor proves that the discrepancy is not larger than \lceil \frac |V|\rceil. It seems that the discrepancy reflects how chaotic the hyperedges of \mathcal intersect. Things are not that easy, however, as the following example shows.
* Set n=4k, k \in \mathcal and \mathcal_n = ((), \). Now \mathcal_n has many (more than \binom^2 = \Theta(\frac 1 n 2^n)) complicatedly intersecting edges, but discrepancy zero.
The last example shows that we cannot expect to determine the discrepancy by looking at a single parameter like the number of hyperedges. Still, the size of the hypergraph yields first upper bounds.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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