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Roman Domination and γR-Excellent Graphs

Updated 2 December 2025
  • Roman domination is defined by labeling vertices with 0, 1, or 2 such that every 0-labeled vertex has a neighbor labeled 2, and the minimum labeling weight defines γR(G).
  • γR-excellent graphs guarantee that every vertex can appear as a defender (labeled 1 or 2) in some minimum-weight Roman dominating function, highlighting robust network defense.
  • Constructive characterizations using recursive tree operations reveal that UVR properties and status partitioning are central to maintaining stability under vertex or edge modifications.

A Roman dominating function (RDF) on a simple graph G=(V,E)G=(V,E) is a labeling f:V{0,1,2}f:V\to\{0,1,2\} such that every vertex vv with f(v)=0f(v)=0 has a neighbor uu with f(u)=2f(u)=2. The weight of ff is f(V)=vVf(v)f(V)=\sum_{v\in V} f(v), and the Roman domination number γR(G)\gamma_R(G) is the minimum weight across all RDFs on GG. An RDF achieving weight γR(G)\gamma_R(G) is called a γR\gamma_R-function. A graph GG is γR\gamma_R-excellent if for every vertex xVx\in V there exists a γR\gamma_R-function hxh_x with hx(x)0h_x(x)\neq 0; equivalently, every vertex is labeled $1$ or $2$ in some minimum-weight RDF. This property, and its structural manifestations in classes such as UVR (where for every vertex vv, γ(Gv)=γ(G)\gamma(G-v)=\gamma(G) for domination number), have been thoroughly characterized for trees and related classes, revealing robust and "nice" behavior for network resilience and combinatorial structure (Samodivkin, 2016, Samodivkin, 2015, Samodivkin, 2017).

1. Roman Domination: Definitions and Fundamental Invariants

Let G=(V,E)G=(V,E) be a finite simple graph. The Roman domination number γR(G)\gamma_R(G) serves as a measure of minimal "reinforcement" required to defend all vertices, with labels representing defensive resources. The partition Vif={vV:f(v)=i}V_i^f = \{v\in V \,:\, f(v) = i\} for i=0,1,2i=0,1,2 provides structure for analysis. The classical domination number γ(G)\gamma(G) is defined as the cardinality of a smallest dominating set DD such that N[D]=VN[D]=V.

The Roman bondage number bR(G)b_R(G) is the minimum cardinality FE|F|\subseteq E such that γR(GF)>γR(G)\gamma_R(G-F) > \gamma_R(G); it quantifies the stability of γR\gamma_R under edge deletions. The paper of these invariants on UVR graphs (those with γR(Gv)=γR(G)\gamma_R(G-v)=\gamma_R(G) for all vVv\in V) yields sharp bounds and tight characterizations: Specifically, for GRUVRG\in \mathcal{R}_{UVR} connected of order nn, γR(G)(2/3)n\gamma_R(G)\leq (2/3)n with equality only for those graphs where all minimum RDFs are label-$1$-free, their label-$2$ sets form efficient dominating sets of degree 2 (Samodivkin, 2015).

2. γR\gamma_R-Excellent Graphs: Definition and Characterization

A graph GG is γR\gamma_R-excellent if every vertex xVx\in V admits a minimum-weight RDF hxh_x with hx(x)0h_x(x)\neq 0. Equivalently, no vertex is forced to be labeled 0 in all γR\gamma_R-functions. For trees, this excellence is characterized constructively via a quartet status labeling S:V{A,B,C,D}S:V\to\{A,B,C,D\} and a set of recursive building operations (O1O_1 through O4O_4) starting from five "seed" trees H1,,H5H_1,\ldots,H_5 with specific labelings (Samodivkin, 2016):

  • Status A: V01(T)V^{01}(T) (vertices that can be labeled 0 or 1 in some γR\gamma_R-function).
  • Status D: V012(T)V^{012}(T) (vertices that can be labeled 0, 1, or 2).
  • Status B: vertices in V02(T)V^{02}(T) of degree 2 with exactly one neighbor in V02(T)V^{02}(T).
  • Status C: remaining V02(T)V^{02}(T)-vertices.

A tree TT is γR\gamma_R-excellent if and only if there is a labeling S:V(T){A,B,C,D}S:V(T)\to\{A,B,C,D\} such that (T,S)(T,S) belongs to the recursively constructed family T\mathcal{T} via these operations.

3. Constructive Characterizations and Structural Properties

For trees, UVR membership (i.e., γ(Gv)=γ(G)\gamma(G-v)=\gamma(G) for all vv) is equivalent to

  • Having a unique γR\gamma_R-function ff with V1f=V_1^f=\emptyset,
  • V2fV_2^f (label-2 vertices) forming an independent set,
  • Each label-2 vertex together with its two label-0 neighbors forming a private neighborhood of size 3.

Constructive labeling uses three statuses {A,B,C}\{A,B,C\} and a set of tree extension rules (e.g., attach 3-paths or 3-stars at special-status vertices): All UVR trees can be built from a labeled K1,2K_{1,2} and recursive application of four attachment operations. In these trees, every B-vertex (which will be labeled 2 in the unique RDF) has exactly two A-neighbors, and no minimum RDF uses label 1 (Samodivkin, 2015).

For γR\gamma_R-excellent trees, the constructive process extends via additional statuses and attachments; in particular, every UVR tree is γR\gamma_R-excellent, with its vertex set partitioned into status C and D only (Samodivkin, 2016). In the broader graph context, UVR graphs satisfy

  • γR=2γ\gamma_R=2\gamma,
  • γR(2/3)n\gamma_R\leq (2/3)n,
  • bR(G)δ(G)b_R(G)\leq \delta(G), with δ(G)\delta(G) the minimum degree.

4. Comparative Classes and Robustness

Roman domination properties admit a taxonomy based on the stability of γR\gamma_R under vertex and edge modifications (Samodivkin, 2017). The principal classes for k=1k=1 changes are:

  • CVR: γR(Gv)<γR(G)\gamma_R(G-v)<\gamma_R(G) for all vv (critical under vertex removal).
  • UVR: γR(Gv)=γR(G)\gamma_R(G-v)=\gamma_R(G) for all vv (unchanged).
  • CER/UEA: analogues for edge addition/deletion.

The intersection and containment relationships of these classes are extensive; for instance, CVR and UVR are disjoint, UVR is contained in UEA, and all graphs in UVR have label-1-free γR\gamma_R-functions. γR\gamma_R-excellent graphs generalize UVR robustness: They are resistant to reductions in Roman domination number under single-vertex deletions, as every vertex can be defended (appear with label 1 or 2) in some minimum RDF. UVR trees and their Roman domination analogues illustrate the sharp bounds and extremal resistance to perturbation: Bondage stability and unique RDFs within UVR directly transfer to the γR\gamma_R-excellent context (Samodivkin, 2016, Samodivkin, 2015).

5. Examples, Criticality, and Extremal Constructions

The following table summarizes several key examples from the literature on γR\gamma_R-excellent and UVR trees:

Graph/Tree γR\gamma_R γR\gamma_R-excellent? Construction/Status
K2K_2 2 Yes Both vertices labeled 1 or 2
P3P_3 2 No Endpoints always 0
C3kC_{3k} $2k$ Yes Efficient dominance, UVR
P3kP_{3k} $2k$ Yes UVR, unique RDF
P4P_4 3 No γR\gamma_R drops on deletion

The recursive construction processes enable the generation of larger γR\gamma_R-excellent trees from seed configurations: For example, starting with H2H_2 (a framework of five vertices), repeated use of operations O3O_3 and O1O_1 produces increasingly complex γR\gamma_R-excellent trees, always preserving the status partition and properties required. This robustness and structural predictability suggest significant applications in network reliability and defense models, where stable resource allocations are crucial under small perturbations (Samodivkin, 2016).

6. Open Problems and Research Directions

Ongoing investigations include:

  • Characterizing unicyclic and more complex graphs in RUVR\mathcal{R}_{UVR}.
  • Determining extremal edge counts for given (n,k)(n,k) with γR(G)=k\gamma_R(G)=k in RUVR\mathcal{R}_{UVR}.
  • Improving the upper bound c<2/3c<2/3 so that γR(G)cn\gamma_R(G)\le c n for connected graphs with δ(G)3\delta(G)\geq 3.
  • Developing reconfiguration graphs for γR\gamma_R and related invariants, exploring connectivity and realizability aspects.
  • Studying the strong Roman domination number γStR(G)\gamma_{StR}(G), where additional requirements yield higher values (e.g., for trees, γStR(T)6n/7\gamma_{StR}(T)\leq 6n/7 with extremal constructions relying on rooted products of subdivided stars) (Alvarez-Ruiz et al., 2015).

A plausible implication is that further exploration of status-partition-based constructions and their algorithmic ramifications may yield efficient recognition and generation protocols for Roman domination-excellent and UVR graphs, relevant both in combinatorial optimization and dynamic network theory.

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