Shuriken Graph Operation
- Shuriken Graph Operation is a unary transformation that builds composite multi-spoked graphs using base graphs and ring-theoretic parameters.
- It leverages idempotent and clean graph constructs from finite rings to derive explicit invariants such as clique, chromatic, independence, and domination numbers.
- The operation is algorithmically implemented with complexity O(n²|E(G)|) and finds applications in combinatorics, chemical graph theory, and algebraic graph analysis.
The shuriken graph operation is a unary graph transformation motivated by the interplay of idempotent and unit elements in finite rings with identity, and is abstracted to operate on arbitrary base graphs. Originating from the ring-theoretic context—specifically via the clean graph and the idempotent graph—this operation constructs a family of composite graphs whose invariants and structural properties are explicitly determined by their base graphs and related ring-theoretic parameters (Djuang et al., 22 Jan 2026).
1. Foundational Graph Constructions
Let be a finite ring with identity. Two auxiliary graphs arise naturally:
- The idempotent graph is defined as
- The clean graph is given by
Edges in record either orthogonal idempotents or pairs of units that are inverses of each other.
2. The Shuriken Operation: Formal Definition
Given a simple graph and parameters with even, the -shuriken graph is constructed as follows:
- Form the extension by adding an isolated vertex .
- Construct disjoint copies of , denoted . For , let denote its image in ; let denote the image of in .
- The vertex set is
- The edge set consists of: \begin{align*} E(Shut_n(G)) =\ & {u_i v_j : uv \in E(G),\ 1 \le i, j \le n} \ \cup\ & {u_i v_i : u \neq v \in V(G) \cup {z},\ 1 \le i \le t} \ \cup\ & {u_i v_{n+t+1-i} : u \in V(G) \cup {z},\ i \in {t+1, ..., \tfrac{n+t}{2}}} \end{align*} This configuration produces a structure resembling a multi-spoked wheel, with inter-copy and intra-copy joins parameterized by (number of "spikes") and (number of copies).
3. Stepwise Construction from Ring-Theoretic Data
Building in the context of a ring proceeds as:
- Identify non-trivial idempotents in to construct .
- Form the clean graph with vertices as pairs of idempotents and units reflecting the algebraic interactions.
- Set as the base graph; often .
- Apply the shuriken operation as defined above, with the parameter encoding the ring-theoretic idempotent structure. The resulting graph encodes both local and global interactions present in the ring.
4. Explicit Formulas for Classical Invariants
For , major graph invariants admit closed formulas:
- Clique Number
- Chromatic Number (Lower Bound)
where
$\varphi = \sum_{1 \le k \le \chi(G), |A_k|>2} (|A_k|-2),\quad A_k = \{x: f(x) = k,\ x\ \text{adjacent to all non-%%%%31%%%%–colored vertices}\}$
- Independence Number
- Domination Number
5. Degree-Based Topological Indices
Topological indices crucial for chemical graph theory and combinatorics are expressed as follows, letting , , , :
- Vertex Degrees in
- First Zagreb Index
$\begin{split} M_1(H) =\;& n(n-1)^2\,M_1(G) + n\,v^3 + (3n - 2t)v^2 + 4(n-t)v + (n-t) \ &+ 4(n-1)e\,(n\,v + (n-t)) \end{split}$
- Second Zagreb Index
The closed-form is a polynomial in , computed by summing degree products over all six edge types generated in the construction.
6. Eulerian and Hamiltonian Properties
- Hamiltonicity
$\text{If %%%%38%%%% contains a Hamiltonian path, %%%%39%%%% is Hamiltonian for all %%%%40%%%% with %%%%41%%%% even.}$
The construction allows the forming of a cycle traversing all vertices by alternating through spikes and mirrored pairs.
- Eulerian Criterion
$Shu^t_n(G)\ \text{is Eulerian iff}\ t = n,\ v = |V(G)|\ \text{even},\ \text{and either %%%%42%%%% is Eulerian or %%%%43%%%% is odd}.$
Parities of all vertex degrees must be checked as per the closed formulas above.
7. Detailed Example:
Let :
- Non-trivial idempotents: , thus .
- Units: .
- has 6 vertices.
- , . Thus .
- , by order and size formulas.
Key invariants:
- implies
Structural properties:
- is not Hamiltonian, but admits a Hamiltonian path; thus is Hamiltonian.
- , hence is not Eulerian.
8. Algorithmic Construction and Complexity
Construction involves:
- Input .
- Create copies of .
- Replicate all edges across copies ( complexity).
- Connect spikes and mirrored pairs ().
The major computational expense is the step of replicating each base edge into all inter-copy pairs.
The shuriken graph operation provides a general framework linking ring-theoretic graph constructions (idempotent and clean graphs) with combinatorial invariants and complex connectivity properties, facilitating direct translation of algebraic data into graph-theoretic structures whose properties are expressed in terms of their base graphs (Djuang et al., 22 Jan 2026).