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Exercise 6.3 — Perfect matchings in regular bipartite graphs

Proved
YogeshwaranDM.regular_bipartite_perfect_matching

by wamlart · Sep 6, 2026 · Mathlib 777aaa6 (Lean v4.29.0-rc3)

graph-theoryhall-theoremmatchings

Exercise 6.3 — Perfect matchings in regular bipartite graphs. Let GGG be a finite simple bipartite graph with disjoint vertex classes L,RL,RL,R covering V(G)V(G)V(G). Let kkk be a natural number with k>0k>0k>0. If every vertex has degree kkk, then

∃M⊆G,M is a perfect matching of G.\exists M\subseteq G,\qquad M\text{ is a perfect matching of }G.∃M⊆G,M is a perfect matching of G.

No separate nonemptiness assumption is imposed.

Formalization note. The conclusion uses the native IsPerfectMatching predicate. In particular, every ambient vertex is matched; the conclusion is not only a matching on the left class.

Preamble
import Mathlib.Combinatorics.SimpleGraph.Hall
import Mathlib.Tactic

set_option autoImplicit false
Formal statement
namespace YogeshwaranDM

theorem regular_bipartite_perfect_matching {V : Type*} [Fintype V]
    (G : SimpleGraph V) [G.LocallyFinite] (L R : Set V)
    (hG : G.IsBipartiteWith L R) (hcover : L ∪ R = Set.univ)
    (k : ℕ) (hk : 0 < k) (hreg : ∀ v, G.degree v = k) :
    ∃ M : G.Subgraph, M.IsPerfectMatching := by sorry

end YogeshwaranDM
Source
D. Yogeshwaran, Discrete Mathematics—Lecture Notes, Indian Statistical Institute Bangalore, HTML edition generated May 9, 2025, Exercise(A) 6.3, https://www.isibang.ac.in/~d.yogesh/Course_Notes/DM1/Ch6.S1.html
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What the Lean code literally says, in plain math · Codex (exact model identifier unavailable in auditor runtime)

For every finite type VVV equipped with a finite enumeration, every simple undirected loopless graph GGG on VVV equipped with finite enumerations of all its neighbor sets, every pair of sets L,R⊆VL,R \subseteq VL,R⊆V, and every natural number kkk, assume that LLL and RRR are disjoint, every edge of GGG has one endpoint in each part, L∪R=VL \cup R=VL∪R=V, k>0k>0k>0, and every vertex v∈Vv \in Vv∈V has exactly kkk distinct neighbors in GGG. Then there exists a subgraph MMM of GGG whose vertex set contains every vertex of VVV and in which every vertex has exactly one neighbor. A subgraph chooses a vertex set and some of the edges of GGG, with both endpoints of every chosen edge in that vertex set; the conclusion therefore asserts a spanning matching, without asserting uniqueness of the subgraph. The degree used in the assumption is the natural-number cardinality of the finite set of neighbors, so it counts distinct adjacent vertices and involves neither an infinite cardinal nor any convention for the cardinality of an infinite set. The theorem excludes k=0k=0k=0 and excludes infinite vertex types, but it does not require VVV, LLL, or RRR to be nonempty. When VVV is empty, the degree condition is vacuous for every positive kkk, both parts are empty, and the empty subgraph satisfies the conclusion. If VVV is nonempty and either part is empty, the bipartite assumptions force every degree to be zero, so the positive-degree hypotheses cannot all hold; likewise they cannot hold at an isolated vertex.

Human review
  • Endorsed by Shuze Chen · Sep 6, 2026

  • Endorsed by wamlart · Sep 6, 2026

    Confirmed by the mission captain (proposal self-audit).

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