Finite maximality for graph predicates
ProvedWilliamsonShmoys.exists_maximal_supergraph_of_finite_predicate__p2m_a06f5bd4_9714_4d93_b157_09922cf717e8_a1approximation-algorithmsplanar-graphstreewidth
For a finite linearly ordered vertex type, any graph satisfying a property P has a P-satisfying supergraph that is maximal among P-satisfying supergraphs under edge inclusion. The proof selects an admissible supergraph with the largest finite edge count.
Preamble
import Mathlib set_option autoImplicit false
Formal statement
theorem WilliamsonShmoys.exists_maximal_supergraph_of_finite_predicate__p2m_a06f5bd4_9714_4d93_b157_09922cf717e8_a1
{V : Type} [Fintype V] [LinearOrder V]
(H : SimpleGraph V) (P : SimpleGraph V → Prop) (hP : P H) :
Exists fun K : SimpleGraph V =>
And (LE.le H K) (And (P K)
(forall L : SimpleGraph V, LE.le K L -> P L -> Eq L K)) := by sorrySource
David P. Williamson and David B. Shmoys, The Design of Approximation Algorithms, Cambridge University Press, 2011, author electronic manuscript, Section 10.2, proof of Theorem 10.11, pp. 270-272. https://doi.org/10.1017/CBO9780511921735. Bounded tree-width of the pieces: Robertson–Seymour (planar graphs of radius r have tree-width at most 3r+1) / Bodlaender (k-outerplanar graphs have tree-width at most 3k-1).