Graceful and Near-Graceful Labelings of Two Nested Cycles Graphs

Kernekoncepter

This research paper investigates the conditions under which a two nested cycles graph, a type of Eulerian graph, can be gracefully or near-gracefully labeled, drawing connections to the conservative and near-conservative labelings of their semidual graphs, which are snowflakes.

Resumé

Bibliographic Information:

Licona, M., & Tey, J. (2024). Gracefulness of two nested cycles: a first approach. arXiv preprint arXiv:2411.12998.

Research Objective:

This paper explores the conditions for the existence of graceful and near-graceful labelings of two nested cycles graphs, a specific subclass of Eulerian graphs. The authors aim to determine the relationship between the labeling of these graphs and the conservative and near-conservative labelings of their corresponding semidual graphs, which are snowflakes.

Methodology:

The authors utilize graph-theoretic concepts and techniques, particularly focusing on graph labelings and their properties. They employ constructive proofs to demonstrate the existence of graceful and near-graceful labelings for specific cases of two nested cycles graphs. Additionally, they leverage existing theorems and results related to graceful graphs, conservative graphs, and Skolem sequences to support their findings.

Key Findings:

• For a two nested cycles graph G with cycles of size m₁ and m₂, where m₁ ≥ 3 and m₂ is sufficiently large, the authors prove:
  • If m₁ + m₂ ≡ 0, 3 (mod 4), then G admits a graceful labeling.
  • If m₁ + m₂ ≡ 1, 2 (mod 4), then G admits a near-graceful labeling.
• The authors establish a connection between the labeling of two nested cycles graphs and their semidual graphs (snowflakes). They show that a snowflake of size M is conservative if M ≡ 0, 3 (mod 4) and near-conservative otherwise.

Main Conclusions:

The paper provides insights into the gracefulness and near-gracefulness of two nested cycles graphs based on the sizes of their cycles. The findings contribute to the understanding of graph labeling problems, particularly in the context of Eulerian graphs. The established connection between the labelings of two nested cycles graphs and their semidual snowflakes opens avenues for further research in both areas.

Significance:

This research contributes to the field of graph theory, specifically graph labeling, by providing new results on the gracefulness of a specific class of Eulerian graphs. The study's findings and the connection established with conservative and near-conservative labelings of snowflakes enhance the theoretical understanding of these graph classes and their properties.

Limitations and Future Research:

The paper primarily focuses on two nested cycles graphs, leaving room for exploration of gracefulness in other types of Eulerian graphs. Future research could investigate the generalization of the presented results to broader classes of graphs or explore the computational complexity of determining graceful and near-graceful labelings for two nested cycles graphs. Additionally, further investigation into the properties and labelings of snowflakes could yield valuable insights.

Statistik

If a plane graph admits a graceful (resp. near-graceful) labeling, then its semidual admits a conservative (resp. near-conservative) labeling.
An Eulerian graph G with |E(G)| ≡ 1, 2 (mod 4) is non-graceful.
A snowflake of size M is conservative if M ≡ 0, 3 (mod 4), and it is near-conservative otherwise.
There exists a t-Skolem sequence of order n if and only if n ≡ t + 1, −t (mod 4).

Citater

Vigtigste indsigter udtrukket fra

Gracefulness of two nested cycles: a first approach

by Migu... kl. arxiv.org 11-21-2024

https://arxiv.org/pdf/2411.12998.pdf

Dybere Forespørgsler

Can the findings about graceful and near-graceful labelings of two nested cycles graphs be extended to other classes of Eulerian graphs beyond this specific subclass?

While the paper focuses specifically on two nested cycles graphs, the techniques and insights presented could potentially be extended to other classes of Eulerian graphs. Here's why:

Connection to Conservative Labelings: The paper leverages the relationship between graceful (resp. near-graceful) labelings of a plane graph and conservative (resp. near-conservative) labelings of its semidual. This connection is not limited to two nested cycles graphs. If other Eulerian graph classes have semiduals with structures amenable to conservative labelings, similar approaches might be applicable. For instance, exploring Eulerian planar graphs whose semiduals are trees with specific properties (bounded degree, limited diameter) could be fruitful.

Exploiting Structural Properties: The constructions in the paper heavily rely on the cyclic structure of two nested cycles graphs. To extend the findings, one should identify analogous structural properties in other Eulerian graph classes. For example, graphs with a high degree of symmetry, regular structure, or decomposable into simpler Eulerian components might be good candidates.

Generalizing Labeling Techniques: The paper develops specific labeling patterns for two nested cycles graphs. Abstracting these patterns and identifying the underlying principles could lead to more general labeling techniques applicable to broader Eulerian graph classes. This might involve exploring concepts like cyclic difference sets, modular arithmetic properties, and equitable labelings.
However, it's important to acknowledge that extending these findings is not guaranteed. Eulerian graphs encompass a vast and diverse family, and the success of such extensions would depend heavily on the specific structural properties of the considered graph classes.

Could there be a counterexample where a two nested cycles graph with cycle sizes fitting the specified modulo conditions does not admit a graceful or near-graceful labeling, contradicting the paper's findings?

The paper's findings, specifically Theorem 2.1, state that for sufficiently large cycle sizes (m1, m2) satisfying the modulo conditions, a graceful or near-graceful labeling exists. It's crucial to note the phrase "for m2 ≥ m1(2m1 − 1)." This implies that the theorem does not guarantee graceful/near-graceful labelings for all possible cycle size combinations, particularly when the outer cycle (m2) is relatively small compared to the inner cycle (m1).
Therefore, it might be possible to find counterexamples, i.e., two nested cycles graphs with (m1, m2) fulfilling the modulo conditions but not the size constraint, where a graceful or near-graceful labeling does not exist. Such counterexamples would not contradict the paper's findings but rather highlight the importance of the size constraint in the theorem.
Finding such counterexamples would require:

Systematic Exploration: Systematically generate two nested cycles graphs with (m1, m2) satisfying the modulo conditions but violating the size constraint (m2 < m1(2m1 − 1)).
Exhaustive Testing: For each generated graph, attempt to exhaustively test all possible labelings to prove the non-existence of a graceful or near-graceful labeling. This could involve computational methods or theoretical arguments based on graph properties.

Discovering such counterexamples, while potentially challenging, would provide valuable insights into the tightness of the size constraint in Theorem 2.1 and further refine our understanding of graceful/near-graceful labelings in two nested cycles graphs.

If we consider the two nested cycles graph as a representation of interconnected systems, how might the concept of graceful labeling translate to optimizing flow or resource allocation within those systems?

The concept of graceful labeling in a two nested cycles graph, viewed as interconnected systems, can indeed offer insights into optimizing flow or resource allocation. Here's how:

Minimizing Congestion: In a network represented by a two nested cycles graph, imagine data packets or resources flowing along the edges. A graceful labeling, by ensuring all absolute differences between vertex labels are distinct, could represent an allocation scheme where the flow is evenly distributed. This could minimize congestion at nodes, as no two paths would have the same "distance" or "cost" associated.

Efficient Routing Protocols: The distinct edge labels induced by a graceful labeling could be interpreted as unique identifiers or frequencies assigned to communication channels in a network. This could facilitate the design of efficient routing protocols, where packets are directed based on these unique labels, minimizing collisions and optimizing data transfer.

Resource Optimization: Consider a scenario where the vertices in the outer cycle represent resource providers, and those in the inner cycle represent consumers. A graceful labeling could correspond to an allocation strategy where each consumer is assigned a unique set of resources (represented by edge labels) from different providers, ensuring fairness and preventing resource contention.

Fault Tolerance: The cyclic and interconnected nature of the two nested cycles graph, combined with a graceful labeling, could contribute to fault tolerance. If one path or node fails, the unique edge labels and alternative routes provided by the cyclic structure could enable efficient rerouting and minimize disruption to the overall system.
However, directly applying graceful labeling to real-world systems requires careful consideration:

Model Simplification: Two nested cycles graphs are simplified representations. Real-world systems are often far more complex, with weighted edges, directed flows, and dynamic changes.

Labeling Constraints: Finding graceful labelings can be computationally challenging, and not all graphs admit them. Practical systems might require approximate or near-graceful labelings, which still offer some optimization benefits.

Implementation Overhead: Translating a graceful labeling scheme into a practical resource allocation or routing protocol involves implementation overhead and might require modifications to existing infrastructure.
Despite these challenges, the core principles of graceful labeling—unique identification, balanced distribution, and efficient resource utilization—hold valuable potential for optimizing flow and resource allocation in interconnected systems.