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Edge-Critical Graphs

Updated 21 January 2026
  • Edge-Critical Graphs are defined as graphs in which every edge is critical, meaning its removal reduces a specified property such as the chromatic number.
  • They underpin sharp extremal constructions and stability theorems in graph theory, offering tight bounds in coloring, matching, and edge-coloring frameworks.
  • Their study bridges structural, algorithmic, and complexity theory, with practical applications in graph coloring, equimatchability, and NP-hard recognition problems.

An edge-critical graph is a graph in which the removal of any edge strictly reduces a specified critical graph property, typically its chromatic number or another critical property (e.g., equimatchability or edge-chromatic index). Edge-criticality appears in various guises throughout structural, extremal, and algorithmic graph theory, often forming the foundation for extremal constructions, sharp stability theorems, and complexity dichotomies. The literature encompasses edge-criticality for vertex colorings, edge colorings, matchings, and structural subgraph properties.

1. Definitions and General Principles

An undirected, simple graph G=(V,E)G=(V,E) is edge-critical with respect to a property PP (e.g., coloring, matching) if GG satisfies PP, but for every edge e∈Ee\in E, the graph G−eG-e fails to satisfy PP.

Vertex-Coloring Edge-Criticality

The most classical context for edge-criticality considers the chromatic number χ(G)\chi(G):

  • An edge e∈E(G)e\in E(G) is critical if χ(G−e)=χ(G)−1\chi(G-e) = \chi(G) - 1.
  • GG is edge-critical (for chromatic number) if every e∈E(G)e\in E(G) is critical, i.e., removing any edge reduces χ\chi by exactly 1 (Paulusma et al., 2017).

In various research, generalizations compare edge- to vertex-criticality (a graph is vertex-critical if the deletion of any vertex lowers its chromatic number), noting that edge-criticality is a strictly stronger (sparser) notion: in a vertex-critical graph, edge removals may have no effect on χ\chi, but in an edge-critical graph, every such removal is maximally disruptive (Kaiser et al., 2019Paulusma et al., 2017).

Other Edge-Critical Notions

  • Edge-Δ\Delta-critical (edge-chromatic-critical) graphs: GG with maximum degree Δ(G)=Δ\Delta(G)=\Delta, chromatic index χ′(G)=Δ+1\chi'(G) = \Delta+1, and χ′(G−e)=Δ\chi'(G-e) = \Delta for every e∈E(G)e\in E(G). This type of edge-criticality underpins much of edge-coloring theory (Vizing, Goldberg) (Cao et al., 2017Cao et al., 2017).
  • Edge-critical equimatchable graphs (ECE-graphs): Equimatchable graphs in which removal of any edge destroys equimatchability (Deniz et al., 2022).
  • Edge-critical uniquely kk-colorable graphs: Uniquely kk-colorable graphs GG such that G−eG-e is not uniquely kk-colorable for every ee (Li et al., 2013).

A formal equivalence of edge deletion and edge contraction appears in chromatic edge-criticality: for any graph GG and e∈E(G)e\in E(G), ee is critical if and only if contracting ee reduces the chromatic number by 1 (Paulusma et al., 2017).

2. Structural Results and Extremal Theorems

Uniquely kk-Colorable Planar Graphs

An edge-critical uniquely kk-colorable graph is one where the chromatic number is kk, there is a unique kk-coloring (up to permutation), and removal of any edge breaks both uniqueness and kk-colorability (Li et al., 2013):

  • For planar, uniquely 3-colorable, edge-critical graphs, the sharp size bound is ∣E(G)∣≤52n−6|E(G)| \leq \frac{5}{2}n - 6 for n≥6n\geq6.
  • The extremal constructions combine outerplanar triangle chains with sparse interconnection, enforcing the criticality and uniqueness restriction.

Extremal examples exist meeting ∣E(G)∣=52n−7|E(G)| = \frac{5}{2}n-7 for n=10,12,14n=10,12,14, constructed from chains of triangles plus pendant vertices (Li et al., 2013).

Edge-Critical Subgraphs of Kneser and Schrijver Graphs

In the context of Kneser graphs KG(n,k)KG(n,k) and their Schrijver subgraphs SG(n,k)SG(n,k), edge-criticality takes the form: no proper subgraph maintains the chromatic number. For k=2k=2, a family HnH_n is constructed with χ(Hn)=n−2\chi(H_n)=n-2 and the property that χ(Hn−e)=n−3\chi(H_n-e) = n-3 for each edge ee (Kaiser et al., 2019).

Edge-Δ\Delta-Critical Graphs in Edge Coloring

Vizing's and Goldberg's theories focus on class II graphs (where χ′(G)=Δ+1\chi'(G)=\Delta+1):

  • Every edge of an edge-Δ\Delta-critical GG is critical; G−eG-e admits a proper Δ\Delta-coloring (Cao et al., 2017).
  • For Δ\Delta large, such graphs have tightly controlled average degree; the current best lower bound is

dˉ(G)≥{0.69241 Δ−0.15658,Δ≥66, 0.69392 Δ−0.20642,Δ=65, 0.68706 Δ+0.19815,56≤Δ≤64.\bar{d}(G) \geq \begin{cases} 0.69241\,\Delta - 0.15658, & \Delta\geq 66, \ 0.69392\,\Delta - 0.20642, & \Delta=65, \ 0.68706\,\Delta + 0.19815, & 56\leq \Delta\leq64. \end{cases}

(Cao et al., 2017), strictly improving earlier bounds.

In the subcubic case (Δ=3\Delta=3), the critical mean degree is 4617\frac{46}{17}, sharp for the o-join of two P∗P^*s (Petersen graph minus a vertex). This provides the most restrictive possible density for 3-critical graphs other than P∗P^* (Cranston et al., 2015).

Edge-Criticality in Extremal Graph Theory

Edge-critical graphs play a fundamental role in extremal TurĂ¡n-type constructions and stability theorems:

  • For HH edge-critical with chromatic number rr (χ(H)=r\chi(H)=r), maximizing the size of nn-vertex HH-free graphs leads uniquely (for large nn) to the balanced (r−1)(r-1)-partite graph Tr−1(n)T_{r-1}(n) (Roberts et al., 2016).
  • When considering suspensions of edge-critical graphs---that is, adding a universal vertex to a multiset of such graphs---the extremal number is determined by

ex(n,H)=tr−1(n)+f(k−1,k−1)\textrm{ex}(n,H) = t_{r-1}(n) + f(k-1,k-1)

where f(k−1,k−1)f(k-1,k-1) denotes the maximal number of edges in a graph of matching and degree at most k−1k-1 (Hou et al., 2022).

3. Algorithmic and Complexity Aspects

Determining the existence of an edge whose removal reduces chromatic number by one is polynomial-time solvable if and only if HH (the forbidden induced subgraph) is contained in P4P_4 or P1+P3P_1+P_3 (i.e., the class is perfect/cograph or disjoint union of a vertex and path), and otherwise is NP-hard or coNP-hard (Paulusma et al., 2017). This establishes a sharp complexity dichotomy for edge-critical recognition in HH-free graphs, mirroring the LovĂ¡sz-KrĂ¡l-KratochvĂ­l dichotomy for coloring.

In cases where the recognition is tractable (cographs and (P1+P3)(P_1+P_3)-free), explicit certifying algorithms exist; in the hard cases (e.g., claw-free, cycle-free), the problem is provably intractable unless P=NP (Paulusma et al., 2017).

4. Edge-Criticality in Matchings and Equimatchable Graphs

Edge-critical equimatchable graphs (ECE-graphs) are defined as equimatchable graphs for which every edge is critical, i.e., removal of any edge destroys equimatchability (Deniz et al., 2022). Their structure is sharply constrained:

  • Every ECE-graph is either $2$-connected factor-critical, a $2$-connected bipartite ECE-graph, or an even clique.
  • Factor-critical ECE-graphs with connectivity $2$ are precisely classified via five structural types according to Favaron's theory.
  • For connectivity k≥3k\geq3, ECE-graphs are characterized by α(G)=2\alpha(G)=2, maximal triangle-free complement, and the nonexistence of dominating edges.

Vertex-critical equimatchable (VCE) graphs are a related family: GG is equimatchable and the removal of any vertex destroys equimatchability. Every factor-critical ECE-graph is VCE, but the converse does not hold; bipartite ECE-graphs are disjoint from VCE graphs.

Additionally, there is a direct correspondence between ECE-graphs and well-covered line-graphs without shedding vertices, answering a prominent open problem (Deniz et al., 2022).

5. Stability and Extremal Applications

Edge-critical graphs (for the chromatic number) have maximal impact in extremal stability contexts:

  • For edge-critical HH with χ(H)=k+1\chi(H) = k+1, every nn-vertex HH-free graph with e(G)≥tk(n)−f(n)e(G) \geq t_k(n) - f(n) can be converted into Tk(n)T_k(n) by at most CHf(n)1/2nC_H f(n)^{1/2} n edge additions/removals (Roberts et al., 2016).
  • The threshold f(n)=o(n2)f(n) = o(n^2) and the geometric mean bound f(n)1/2nf(n)^{1/2} n both reflect sharp stability above classical ErdÅ‘s-Simonovits o(n2)o(n^2) statements.

In the suspension context, the extremal graphs are precisely those obtained from Tr−1(n)T_{r-1}(n) with optimal insertion of graphs of degree and matching at most k−1k-1 in one part (Hou et al., 2022).

The stability and extremal number theorems rest essentially on HH being edge-critical; without this, the TurĂ¡n graph is not uniquely extremal, and asymptotic stability cannot be guaranteed.

6. Open Problems and Further Directions

Open questions include:

  • Determining sharp extremal families in more general classes (e.g., higher kk in Schrijver graphs (Kaiser et al., 2019)).
  • Improving density lower bounds for edge-Δ\Delta-critical graphs (e.g., approaching Vizing's conjectured dˉ(G)≥Δ−1+2\bar{d}(G) \geq \Delta-1+2 (Cao et al., 2017)).
  • Algorithmic classification of edge-critical recognition for other hereditary properties or in parameterized complexity frameworks (Paulusma et al., 2017).
  • Full characterization of edge-critical equimatchable graphs with higher connectivity and lower degree conditions (Deniz et al., 2022).

These directions highlight the centrality and technical richness of edge-criticality across structural, extremal, and computational graph theory.

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