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Total Domination Number in Graph Theory

Updated 8 February 2026
  • Total domination number is the minimum size of a vertex set in a graph such that every vertex has a neighbor, ensuring complete coverage.
  • Lower bounds based on degree sequences, maximum degree, and distance metrics provide robust methods for analyzing this invariant in various graph classes.
  • Applications span diverse structures from toroidal meshes to zero-divisor graphs, employing algorithmic and structural techniques to tackle computational challenges.

A total dominating set in a graph is a subset of vertices such that every vertex has at least one neighbor in the set. The total domination number, denoted γt(G)\gamma_t(G), is the minimum cardinality of such a set in GG. This invariant is central in domination theory and intersects with areas including graph products, algebraic graph theory (e.g., zero-divisor graphs of rings), extremal combinatorics, and the study of specific graph classes (e.g., planar graphs, meshes, Knödel graphs).

1. Definition and Basic Properties

Let G=(V,E)G=(V,E) be a simple undirected graph with no isolated vertices. A subset SVS \subseteq V is a total dominating set (TDS) if every vertex vVv\in V has a neighbor in SS, i.e.,

vV,    N(v)S.\forall\,v\in V,\;\; N(v) \cap S \neq \emptyset.

The total domination number is

γt(G)=min{S:SV,  N(v)S  vV}.\gamma_t(G) = \min\Bigl\{ |S| : S \subseteq V,\; N(v) \cap S \neq \emptyset\;\forall\,v\in V \Bigr\}.

By definition, γt(G)2\gamma_t(G) \geq 2 for connected graphs with minimum degree at least 1, and always γ(G)γt(G)\gamma(G) \leq \gamma_t(G), where GG0 is the (standard) domination number (Davila, 2024).

For digraphs GG1 (no loops, simple), total domination requires every vertex to have an in-neighbor in GG2: GG3 The total domination number in digraphs, GG4, is analogously defined, with the existence of a TDS equivalent to GG5 (Blázsik et al., 2024).

2. Lower Bounds and Extremal Cases

Structural lower bounds for GG6 are foundational for applications and complexity analyses. Principal lower bounds include:

  • Degree-sequence bound: For GG7 with degree sequence GG8,

GG9

  • Maximum-degree bound:

G=(V,E)G=(V,E)0

where G=(V,E)G=(V,E)1 is the maximum degree.

  • Diameter and radius bounds: For connected G=(V,E)G=(V,E)2,

G=(V,E)G=(V,E)3

These bounds generalize from the total (distance) G=(V,E)G=(V,E)4-domination framework; for G=(V,E)G=(V,E)5, all reduce to bounds for G=(V,E)G=(V,E)6 (Davila, 2024).

Tightness: These bounds are attained in several key families:

  • Paths G=(V,E)G=(V,E)7: G=(V,E)G=(V,E)8 and equality in the diameter bound.
  • Even cycles G=(V,E)G=(V,E)9: SVS \subseteq V0.
  • Regular graphs, including cycles, realize the SVS \subseteq V1 bound.

However, such bounds can be weak for star-like or highly connected graphs; further refinements might combine local (degree) and global (distance) parameters or exploit neighborhood overlaps (Davila, 2024).

3. Exact Results in Notable Graph Classes

Toroidal Meshes and Cubic Knödel Graphs

  • Toroidal meshes SVS \subseteq V2 (Cartesian product of cycles): For SVS \subseteq V3, the total domination number is determined exactly:
    • SVS \subseteq V4: SVS \subseteq V5
    • SVS \subseteq V6: SVS \subseteq V7 follows a sharp residue-dependent formula (see (Hu et al., 2011)).
  • For general SVS \subseteq V8, the asymptotic is SVS \subseteq V9 with explicit block constructions providing upper bounds and the regular-graph argument providing the lower bound (Hu et al., 2011).
  • Cubic Knödel graphs vVv\in V0 (bipartite, 3-regular, vVv\in V1 even vVv\in V2): The total domination number is given by a piecewise function in vVv\in V3 mod 10:

vVv\in V4

where vVv\in V5 (Mojdeh et al., 2018).

Hypercubes and Prisms

For hypercubes vVv\in V6 and their prisms, the following holds:

  • For bipartite vVv\in V7, vVv\in V8.
  • For hypercubes, vVv\in V9, and explicit values can be recursively computed (Azarija et al., 2016).

For non-bipartite SS0, SS1 can be strictly less than SS2; the gap can be arbitrarily large (Azarija et al., 2016).

Planar Graphs and Near-Triangulations

For near-triangulations SS3 (biconnected planar graphs with all faces except possibly the outer being triangles), it is shown that

SS4

for all SS5 except in two exceptional graphs of order 12 (Claverol et al., 2020).

4. Total Domination in Algebraic Graphs

In zero-divisor graphs of commutative rings SS6, the total domination number often coincides with the standard domination number. The main result is: SS7 The sole exception is SS8, where SS9 and vV,    N(v)S.\forall\,v\in V,\;\; N(v) \cap S \neq \emptyset.0 (Anderson et al., 3 Jun 2025). This equality is established by analyzing girth, loop structure, and universal annihilators within the ring.

5. Orientations and Extremal Constructions

For a simple undirected vV,    N(v)S.\forall\,v\in V,\;\; N(v) \cap S \neq \emptyset.1, orientable total domination numbers are defined as follows:

  • vV,    N(v)S.\forall\,v\in V,\;\; N(v) \cap S \neq \emptyset.2: The maximum total domination number over all valid orientations (each vertex has indegree at least one).
  • vV,    N(v)S.\forall\,v\in V,\;\; N(v) \cap S \neq \emptyset.3: The minimum over valid orientations.

Key results include:

  • vV,    N(v)S.\forall\,v\in V,\;\; N(v) \cap S \neq \emptyset.4 if and only if vV,    N(v)S.\forall\,v\in V,\;\; N(v) \cap S \neq \emptyset.5 is a disjoint union of cycles.
  • All connected graphs vV,    N(v)S.\forall\,v\in V,\;\; N(v) \cap S \neq \emptyset.6 in specific families vV,    N(v)S.\forall\,v\in V,\;\; N(v) \cap S \neq \emptyset.7 can satisfy vV,    N(v)S.\forall\,v\in V,\;\; N(v) \cap S \neq \emptyset.8, and the difference between vV,    N(v)S.\forall\,v\in V,\;\; N(v) \cap S \neq \emptyset.9 and γt(G)=min{S:SV,  N(v)S  vV}.\gamma_t(G) = \min\Bigl\{ |S| : S \subseteq V,\; N(v) \cap S \neq \emptyset\;\forall\,v\in V \Bigr\}.0 can be as large as γt(G)=min{S:SV,  N(v)S  vV}.\gamma_t(G) = \min\Bigl\{ |S| : S \subseteq V,\; N(v) \cap S \neq \emptyset\;\forall\,v\in V \Bigr\}.1 by suitable orientation choices (Blázsik et al., 2024).

6. Algorithmic and Structural Techniques

The computation of γt(G)=min{S:SV,  N(v)S  vV}.\gamma_t(G) = \min\Bigl\{ |S| : S \subseteq V,\; N(v) \cap S \neq \emptyset\;\forall\,v\in V \Bigr\}.2 is combinatorially complex for general graphs. Proof techniques include:

  • Double counting and neighborhood overlap analysis: Exploited in regular graphs and product graphs (Hu et al., 2011, Mojdeh et al., 2018).
  • Inductive and decomposition approaches: Used in planar and near-triangulation settings through vertex deletion, edge contraction, and reduction to smaller subgraphs (Claverol et al., 2020).
  • Hypergraph transversals: Critical for establishing equivalences with hitting set problems, particularly in product and bipartite graphs (Azarija et al., 2016).

7. Open Problems and Extensions

Significant open questions remain, especially in product graphs. Determining γt(G)=min{S:SV,  N(v)S  vV}.\gamma_t(G) = \min\Bigl\{ |S| : S \subseteq V,\; N(v) \cap S \neq \emptyset\;\forall\,v\in V \Bigr\}.3 exactly for γt(G)=min{S:SV,  N(v)S  vV}.\gamma_t(G) = \min\Bigl\{ |S| : S \subseteq V,\; N(v) \cap S \neq \emptyset\;\forall\,v\in V \Bigr\}.4 is unresolved, with known bounds off by γt(G)=min{S:SV,  N(v)S  vV}.\gamma_t(G) = \min\Bigl\{ |S| : S \subseteq V,\; N(v) \cap S \neq \emptyset\;\forall\,v\in V \Bigr\}.5 depending on residue classes (Hu et al., 2011).

Directions for further research include:

  • Combining local and global graph parameters to yield tighter lower bounds, e.g., refining γt(G)=min{S:SV,  N(v)S  vV}.\gamma_t(G) = \min\Bigl\{ |S| : S \subseteq V,\; N(v) \cap S \neq \emptyset\;\forall\,v\in V \Bigr\}.6 by accounting for higher-order neighborhood overlap (Davila, 2024).
  • Investigation of weighted and fractional total domination parameters, with analogous lower bounds expected via combinatorial arguments.
  • Structural bounds for orientable total domination numbers as explicit functions of edge density and other global invariants (Blázsik et al., 2024).

Summary Table: Key Lower Bounds for γt(G)=min{S:SV,  N(v)S  vV}.\gamma_t(G) = \min\Bigl\{ |S| : S \subseteq V,\; N(v) \cap S \neq \emptyset\;\forall\,v\in V \Bigr\}.7 in Simple Graphs

Bound Type Formula Sharpness Example
Degree-sequence γt(G)=min{S:SV,  N(v)S  vV}.\gamma_t(G) = \min\Bigl\{ |S| : S \subseteq V,\; N(v) \cap S \neq \emptyset\;\forall\,v\in V \Bigr\}.8 Paths, cycles
Max degree γt(G)=min{S:SV,  N(v)S  vV}.\gamma_t(G) = \min\Bigl\{ |S| : S \subseteq V,\; N(v) \cap S \neq \emptyset\;\forall\,v\in V \Bigr\}.9 Regular graphs
Diameter γt(G)2\gamma_t(G) \geq 20 Paths, even cycles
Radius γt(G)2\gamma_t(G) \geq 21 Varies

The total domination number serves as a robust quantitative invariant, deeply linked to combinatorial structure, graph classes, algebraic constructions, and product operations. The breadth of exact results, sharp bounds, and open questions underscores its foundational role in modern domination theory.

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