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Modules of a graph, and the trivial modules
Definition
Let be a finite simple graph (A finite simple graph is a finite vertex set together with a set of two-element vertex subsets). A vertex set is a module of when every vertex is adjacent to every vertex of or to no vertex of . Equivalently, the disjoint pair is pure for every (Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs, Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree).
The condition constrains only the edges between and : no condition whatever is placed on the induced subgraph (Subgraphs, induced subgraphs and spanning subgraphs).
The trivial modules of are , the singletons for , and itself. Each of the three really is a module: for every pair is both complete and anticomplete, hence pure; for the pair is complete when and anticomplete otherwise; and for there is no vertex outside , so the condition is vacuous. A module that is not one of these is nontrivial. Since is finite, a module is nontrivial exactly when and , the second bound because a subset of a finite set has the full cardinality only if it is the whole set (The cardinality of a finite set, A subset of a finite set is finite, with , and equality holds if and only if ).
A module is proper when . Thus is a proper module exactly when , every singleton of a graph with at least two vertices is a proper module, and every nontrivial module is proper.
Remarks
The word module is Habib and Paul's. The same object is called a clan by Harju, a closed set by Gallai, and an autonomous, partitive, externally related or homogeneous set elsewhere; the clash between the last of these and the published meaning of homogeneous set is the subject of Why this page says module where some sources say homogeneous set.
Depends on
- A finite simple graph is a finite vertex set together with a set of two-element vertex subsets
- Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree
- Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs
- Subgraphs, induced subgraphs and spanning subgraphs
- The cardinality $\lvert A\rvert$ of a finite set
- A subset of a finite set is finite, with $\lvert B\rvert \le \lvert A\rvert$, and equality holds if and only if $B = A$
Used by
- In a connected and anticonnected graph, a modular partition with at least two parts whose quotient is prime consists of the maximal proper modules Corollary
- The prime quotient produced by the modular decomposition of a connected and anticonnected graph has at least four vertices Corollary
- A difference of two nested modules that is not a module Counterexample
- An induced subgraph of a prime graph need not be prime Counterexample
- Maximal proper modules need not be disjoint when the graph or its complement is disconnected Counterexample
- Two disjoint modules whose union is not a module Counterexample
- Modular partitions and the quotient graph they define Definition
- Prime graphs: those whose only modules are the trivial ones Definition
- Every vertex set is a module of a complete graph and of an edgeless graph Example
- Pₙ is prime for every n≥4 Example
- The five-cycle is prime Example
- The four-vertex path has only trivial modules Example
- The modular decomposition of a five-cycle with each vertex blown up into an edgeless graph Example
- Up to isomorphism the four-vertex path is the only prime graph on four vertices Example
- Every graph with at least four vertices has a nontrivial module False statement
- A module of G[M] is a module of G whenever M is a module of G Lemma
- A vertex set is a module of G exactly when it is a module of Ḡ Lemma
- Every union of connected components is a module, and so is every union of anticonnected components Lemma
- For a modular partition, a set of parts is a module of the quotient exactly when the union of those parts is a module of the graph Lemma
- If M is a module of G and W⊆ V(G), then M∩ W is a module of G[W] Lemma
- If two modules overlap, then each difference and their symmetric difference are modules Lemma
- In a connected and anticonnected graph with at least two vertices, each vertex lies in a largest proper module, and two such modules are equal or disjoint Lemma
- In a connected and anticonnected graph, the union of two proper modules that meet is again a proper module Lemma
- In a connected graph, some vertex outside a nonempty proper module is complete to it Lemma
- In G₁ with G₂ substituted for a, the vertex set of G₂ is a module, the two factors are recovered as induced subgraphs, and substituting a one-vertex graph changes nothing Lemma
- No graph on exactly three vertices is prime Lemma
- The intersection of two modules is a module Lemma
- The quotient by a modular partition is isomorphic to the subgraph induced by any set meeting each part exactly once Lemma
- The union of two modules with a common vertex is a module Lemma
- Three equivalent descriptions of a module: purity of every outside vertex, equality of outside neighbourhoods, and indistinguishability of the members Lemma
- Two disjoint nonempty modules form a complete or an anticomplete pair Lemma
- Which small graphs count as prime on this page Remark
- Why this page says module where some sources say homogeneous set Remark
- A graph is recovered from any modular partition by the induced subgraphs on the parts together with the quotient graph Theorem
- A graph with at least two vertices is prime exactly when it is not obtained by substituting one graph on at least two vertices for a vertex of another graph on at least two vertices Theorem
- Gallai's modular decomposition theorem: a graph on at least two vertices is disconnected, or has a disconnected complement, or has a modular partition into its maximal proper modules whose quotient is prime Theorem
Dependency tree · two levels
19 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- M. Habib and C. Paul, A Survey on Algorithmic Aspects of Modular Decomposition, sec. 2.3 (standard reference, not scraped)
- T. Harju, Lecture Notes on Combinatorial Structures in Graph Theory, sec. 2 (standard reference, not scraped)