Edge-Critical Graphs
- 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 is edge-critical with respect to a property (e.g., coloring, matching) if satisfies , but for every edge , the graph fails to satisfy .
Vertex-Coloring Edge-Criticality
The most classical context for edge-criticality considers the chromatic number :
- An edge is critical if .
- is edge-critical (for chromatic number) if every is critical, i.e., removing any edge reduces 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 , but in an edge-critical graph, every such removal is maximally disruptive (Kaiser et al., 2019Paulusma et al., 2017).
Other Edge-Critical Notions
- Edge--critical (edge-chromatic-critical) graphs: with maximum degree , chromatic index , and for every . 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 -colorable graphs: Uniquely -colorable graphs such that is not uniquely -colorable for every (Li et al., 2013).
A formal equivalence of edge deletion and edge contraction appears in chromatic edge-criticality: for any graph and , is critical if and only if contracting reduces the chromatic number by 1 (Paulusma et al., 2017).
2. Structural Results and Extremal Theorems
Uniquely -Colorable Planar Graphs
An edge-critical uniquely -colorable graph is one where the chromatic number is , there is a unique -coloring (up to permutation), and removal of any edge breaks both uniqueness and -colorability (Li et al., 2013):
- For planar, uniquely 3-colorable, edge-critical graphs, the sharp size bound is for .
- The extremal constructions combine outerplanar triangle chains with sparse interconnection, enforcing the criticality and uniqueness restriction.
Extremal examples exist meeting for , 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 and their Schrijver subgraphs , edge-criticality takes the form: no proper subgraph maintains the chromatic number. For , a family is constructed with and the property that for each edge (Kaiser et al., 2019).
Edge--Critical Graphs in Edge Coloring
Vizing's and Goldberg's theories focus on class II graphs (where ):
- Every edge of an edge--critical is critical; admits a proper -coloring (Cao et al., 2017).
- For large, such graphs have tightly controlled average degree; the current best lower bound is
(Cao et al., 2017), strictly improving earlier bounds.
In the subcubic case (), the critical mean degree is , sharp for the o-join of two s (Petersen graph minus a vertex). This provides the most restrictive possible density for 3-critical graphs other than (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 edge-critical with chromatic number (), maximizing the size of -vertex -free graphs leads uniquely (for large ) to the balanced -partite graph (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
where denotes the maximal number of edges in a graph of matching and degree at most (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 (the forbidden induced subgraph) is contained in or (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 -free graphs, mirroring the LovĂ¡sz-KrĂ¡l-KratochvĂl dichotomy for coloring.
In cases where the recognition is tractable (cographs and -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 , ECE-graphs are characterized by , maximal triangle-free complement, and the nonexistence of dominating edges.
Vertex-critical equimatchable (VCE) graphs are a related family: 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 with , every -vertex -free graph with can be converted into by at most edge additions/removals (Roberts et al., 2016).
- The threshold and the geometric mean bound both reflect sharp stability above classical Erdős-Simonovits statements.
In the suspension context, the extremal graphs are precisely those obtained from with optimal insertion of graphs of degree and matching at most in one part (Hou et al., 2022).
The stability and extremal number theorems rest essentially on 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 in Schrijver graphs (Kaiser et al., 2019)).
- Improving density lower bounds for edge--critical graphs (e.g., approaching Vizing's conjectured (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.