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On MultiLine Graphs, MultiLine HyperGraphs, and MultiLine Super-HyperGraphs

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09 March 2026

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10 March 2026

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Abstract
A finite hypergraph generalizes an ordinary graph by permitting a hyperedge to connect any nonempty subset of vertices, thereby representing genuine multiway interactions. Extending this idea, a finite SuperHyperGraph is obtained through an iterated powerset construction, so that set-valued objects formed at one level may function as vertices or edge endpoints at the next, providing a natural framework for hierarchical and multilayer relational structures. In contrast, a line graph transforms each edge of a graph into a vertex, with two such new vertices adjacent precisely when the corresponding original edges share an endpoint. In this paper, we introduce the notion of a MultiLine Graph, in which multiple edges can be assigned to a vertex, and then develop its higher-order extensions, namely the MultiLine HyperGraph and the MultiLine Super HyperGraph. We further investigate their fundamental properties and structural characteristics.
Keywords: 
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1. Preliminaries

This section establishes the notation used throughout the paper and reviews the basic set-theoretic and combinatorial concepts needed in later sections.

1.1. SuperHyperGraphs

We begin with the set-theoretic operations underlying SuperHyperGraphs and then recall the relevant graph-theoretic definitions.
Definition 1 
(Base set). A base set S is the underlying universe of admissible objects in the setting under consideration, i.e.,
S = { x x is an admissible object in the given context } .
Accordingly, every element of P ( S ) —and, more generally, of any iterated powerset—is ultimately formed from elements of S.
Definition 2 
(Powerset). (see [1]) For a set S, its powerset is the family of all subsets of S:
P ( S ) = { A A S } .
In particular, P ( S ) and S P ( S ) .
Definition 3 
(Hypergraph). [2,3] A hypergraph is an ordered pair H = ( V , E ) where
  • V is a finite set of vertices, and
  • E is a finite family of nonempty subsets of V, called hyperedges.
Thus a hyperedge may contain more than two vertices, allowing one to model genuinely multiway relations.
Definition 4 
(n-fold iterated powerset). [4,5] Let X be a set. Define P 1 ( X ) : = P ( X ) and, for n 1 , set recursively
P n + 1 ( X ) : = P P n ( X ) .
When excluding the empty set, we write
P * n ( X ) : = P n ( X ) { } .
Definition 5 
(n-SuperHyperGraph). (see [6,7,8]) Let V 0 be a finite, nonempty base set, and define the iterated powersets by
P 0 ( V 0 ) : = V 0 , P k + 1 ( V 0 ) : = P P k ( V 0 ) ( k N { 0 } ) .
For n 0 , ann-SuperHyperGraph on V 0 is a pair
SHG ( n ) = ( V , E )
satisfying
V P n ( V 0 ) and E P ( V ) { } .
Elements of V are calledn-supervertices, and elements of E are calledsuperhyperedges; equivalently, each superhyperedge is a nonempty subset of the supervertex set V.

1.2. Line SuperHyperGraph

A line hypergraph replaces each hyperedge by a vertex; each original vertex yields a hyperedge of all incident hyperedges [9,10,11,12,13,14]. A line SuperHyperGraph makes superhyperedges vertices; each supervertex induces a hyperedge consisting of all recursively incident superhyperedges [15,16].
Definition 6 
(Line HyperGraph). (cf. [9,14]) Let H = ( V , E ) be a (finite) hypergraph, i.e.,
E P ( V ) { } .
For each vertex v V , define the star of v in H by
Star H ( v ) : = { e E v e } E .
The line hypergraph of H is the hypergraph
L ( H ) = ( V L , E L ) ,
where
V L : = E , E L : = Star H ( v ) E v V , Star H ( v ) .
Thus the vertices of L ( H ) are the hyperedges of H, and each original vertex v V induces a hyperedge of L ( H ) consisting of all hyperedges of H incident to v.
Definition 7 
(Line SuperHyperGraph). [15,16,17] Let V 0 be a finite nonempty base set and let n N { 0 } . Let
H ( n ) = ( V n , E )
be a level-n SuperHyperGraph, i.e.,
V n P n ( V 0 ) and E P ( V n ) { } .
For each v V n , define the star of v in H ( n ) by
Star H ( v ) : = { e E v e } E .
The line SuperHyperGraph of H ( n ) is the pair
L H ( n ) = ( V n + 1 L , E n + 1 L ) ,
defined by
V n + 1 L : = E , E n + 1 L : = Star H ( v ) E v V n , Star H ( v ) .
Equivalently, L ( H ( n ) ) has one ( n + 1 ) -supervertex for each superhyperedge of H ( n ) , and for every n-supervertex v V n it has a superhyperedge consisting of all superhyperedges of H ( n ) that contain v.
Remark 1 
(Level shift). Since V n P n ( V 0 ) , we have
V n + 1 L = E P ( V n ) P P n ( V 0 ) = P n + 1 ( V 0 ) ,
so the vertex set of L ( H ( n ) ) naturally lives at level n + 1 . Moreover, each element of E n + 1 L is a nonempty subset of V n + 1 L by construction.

2. Main Results

In this section, we present our main results.

2.1. MultiLine Graph

In an ordinary graph, adjacency is recorded only at the vertex level. By contrast, in a MultiLine Graph each vertex is equipped with several distinguishable local lines, and an edge is formed by pairing two such local lines. This provides a vertex-centered framework in which one can explicitly represent the fact that a vertex may carry several incident lines.
Definition 8 
(MultiLine Graph). Let V be a finite nonempty set. Let L be a finite set, and let
π : L V
be a surjective map. For each v V , define
L ( v ) : = π 1 ( v ) ,
whose elements are called the local lines attached to v.
A MultiLine Graph is a triple
G = ( V , L , E )
satisfying the following conditions:
(i)
E is a set of 2-element subsets of L , i.e.,
E { , } L | | { , } | = 2 ;
(ii)
for every { , } E , one has
π ( ) π ( ) ;
thus each edge joins local lines belonging to two distinct vertices;
(iii)
if e 1 , e 2 E and e 1 e 2 , then
e 1 e 2 = .
Hence each local line is used by at most one edge.
The elements of E are called multiline edges. For each vertex v V , the number
m ( v ) : = | L ( v ) |
is called the line multiplicity of v.
Remark 2. 
A MultiLine Graph is not the same as the classical line graph. Here the word “multi-line” means that each vertex carries several distinguishable local lines. In this sense, the structure is closer to a half-edge model with explicit vertex-wise line multiplicities.
Definition 9 
(Incident edge set and degree). Let G = ( V , L , E ) be a MultiLine Graph. For each v V , define the incident edge set of v by
Inc G ( v ) : = { e E e L ( v ) } .
The degree of v in G is
deg G ( v ) : = | Inc G ( v ) | .
Proposition 1. 
Let G = ( V , L , E ) be a MultiLine Graph. Then, for every v V ,
deg G ( v ) m ( v ) .
Proof. 
Fix v V . By Definition 8, distinct edges of E are pairwise disjoint. Therefore, if an edge e E is incident with v, then it uses a unique local line from L ( v ) . Since no local line can belong to two different edges, the number of edges incident with v cannot exceed the number of local lines attached to v. Hence
deg G ( v ) | L ( v ) | = m ( v ) .
Definition 10 
(Saturated and proper MultiLine Graphs). A MultiLine Graph G = ( V , L , E ) is calledsaturatedif
e E e = L ,
that is, every local line is used by some multiline edge.
A saturated MultiLine Graph is called proper if
m ( v ) 2 for all v V .
Thus, in a proper MultiLine Graph, every vertex carries at least two local lines.
Proposition 2. 
If G = ( V , L , E ) is saturated, then for every v V ,
deg G ( v ) = m ( v ) .
In particular, if G is proper, then every vertex is incident with at least two edges:
deg G ( v ) 2 ( v V ) .
Proof. 
Assume that G is saturated. Then every local line in L ( v ) belongs to some edge of E. Because distinct edges are disjoint, each local line of L ( v ) contributes to exactly one incident edge of v. Hence the number of incident edges at v is precisely the number of local lines attached to v, namely
deg G ( v ) = | L ( v ) | = m ( v ) .
If, moreover, G is proper, then m ( v ) 2 for all v V , and therefore
deg G ( v ) = m ( v ) 2 .

2.2. MultiLine HyperGraph

A MultiLine HyperGraph extends the MultiLine Graph framework by allowing one multiline edge to connect more than two local lines simultaneously. Thus, each vertex may carry several distinguishable local lines, and a multiline hyperedge is formed by selecting a finite set of such local lines attached to pairwise distinct vertices.
Definition 11 
(MultiLine HyperGraph). Let V be a finite nonempty set, let L be a finite set, and let
π : L V
be a surjective map. For each vertex v V , define
L ( v ) : = π 1 ( v ) ,
whose elements are called the local lines attached to v.
A MultiLine HyperGraph is a triple
H = ( V , L , E )
such that the following conditions hold:
(i)
E is a finite set of subsets of L satisfying
E F L | F | 2 ;
(ii)
for every F E , the restriction
π | F : F V
is injective; equivalently, if , F and , then
π ( ) π ( ) ;
(iii)
distinct multiline hyperedges are pairwise disjoint, i.e., if F 1 , F 2 E and F 1 F 2 , then
F 1 F 2 = .
The elements of E are called multiline hyperedges. For each v V , the number
m ( v ) : = | L ( v ) |
is called the line multiplicity of v.
Remark 3. 
Condition (ii) means that a single multiline hyperedge cannot use two local lines attached to the same vertex. Hence each multiline hyperedge determines a genuine multiway relation among distinct vertices. Condition (iii) ensures that each local line participates in at most one multiline hyperedge.
Definition 12 
(Incident multiline hyperedges and degree). Let H = ( V , L , E ) be a MultiLine HyperGraph. For each v V , define
Inc H ( v ) : = { F E F L ( v ) } .
The degree of v in H is
deg H ( v ) : = | Inc H ( v ) | .
Proposition 3. 
Let H = ( V , L , E ) be a MultiLine HyperGraph. Then, for every v V ,
deg H ( v ) m ( v ) .
Proof. 
Fix v V . Since distinct multiline hyperedges are pairwise disjoint, each local line in L ( v ) can belong to at most one multiline hyperedge. Therefore the number of multiline hyperedges incident with v cannot exceed the number of local lines attached to v. Hence
deg H ( v ) | L ( v ) | = m ( v ) .
Definition 13 
(Saturated MultiLine HyperGraph). A MultiLine HyperGraph H = ( V , L , E ) is called saturated if
F E F = L .
Equivalently, every local line is used by some multiline hyperedge.
Proposition 4. 
If H = ( V , L , E ) is saturated, then for every v V ,
deg H ( v ) = m ( v ) .
Proof. 
Assume that H is saturated. Then every local line in L ( v ) belongs to some multiline hyperedge. Since distinct multiline hyperedges are disjoint, each local line of L ( v ) belongs to exactly one multiline hyperedge, and distinct local lines of L ( v ) cannot belong to the same multiline hyperedge by Definition 11(ii). Therefore the number of multiline hyperedges incident with v is exactly | L ( v ) | . Hence
deg H ( v ) = m ( v ) .

2.3. MultiLine SuperHyperGraph

A MultiLine SuperHyperGraph extends the previous construction from ordinary vertices to higher-level supervertices. In this setting, each n-supervertex carries several distinguishable local lines, and each multiline superhyperedge is a finite set of local lines attached to pairwise distinct n-supervertices.
Definition 14 
(MultiLine n-SuperHyperGraph). Let V 0 be a finite nonempty base set, let n N { 0 } , and let
V n P n ( V 0 ) .
Let L be a finite set, and let
π : L V n
be a surjective map. For each x V n , define
L ( x ) : = π 1 ( x ) ,
whose elements are called the local lines attached to the n-supervertex x.
A MultiLine n-SuperHyperGraph is a triple
S ( n ) = ( V n , L , E )
satisfying the following conditions:
(i)
E is a finite set of subsets of L satisfying
E F L | F | 2 ;
(ii)
for every F E , the restriction
π | F : F V n
is injective; equivalently, if , F and , then
π ( ) π ( ) ;
(iii)
distinct multiline superhyperedges are pairwise disjoint, i.e., if F 1 , F 2 E and F 1 F 2 , then
F 1 F 2 = .
The elements of E are called multiline superhyperedges. For each x V n , the number
m ( x ) : = | L ( x ) |
is called the line multiplicity of the n-supervertex x.
Remark 4. 
A MultiLine n-SuperHyperGraph is built over the level-n supervertex set V n P n ( V 0 ) . Thus the local lines do not replace the n-supervertices; rather, they refine their incidence structure by allowing each n-supervertex to possess several distinguishable attachment slots.
Definition 15 
(Incident multiline superhyperedges and degree). Let S ( n ) = ( V n , L , E ) be a MultiLine n-SuperHyperGraph. For each x V n , define
Inc S ( n ) ( x ) : = { F E F L ( x ) } .
The degree of x in S ( n ) is
deg S ( n ) ( x ) : = | Inc S ( n ) ( x ) | .
Proposition 5. 
Let S ( n ) = ( V n , L , E ) be a MultiLine n-SuperHyperGraph. Then, for every x V n ,
deg S ( n ) ( x ) m ( x ) .
Proof. 
The proof is identical to that of Proposition 3. Because distinct multiline superhyperedges are pairwise disjoint, each local line attached to x can belong to at most one multiline superhyperedge. Therefore the number of multiline superhyperedges incident with x cannot exceed the number of local lines attached to x. Hence
deg S ( n ) ( x ) | L ( x ) | = m ( x ) .
Definition 16 
(Saturated MultiLine n-SuperHyperGraph). A MultiLine n-SuperHyperGraph S ( n ) = ( V n , L , E ) is calledsaturatedif
F E F = L .
Proposition 6. 
If S ( n ) = ( V n , L , E ) is saturated, then for every x V n ,
deg S ( n ) ( x ) = m ( x ) .
Proof. 
The proof is the same as in the hypergraph case. Under saturation, every local line attached to x is used by some multiline superhyperedge; by pairwise disjointness of multiline superhyperedges and injectivity of π | F on each F E , this correspondence is one-to-one. Therefore
deg S ( n ) ( x ) = | L ( x ) | = m ( x ) .

Funding

This study was conducted without any financial support from external organizations or grants.

Acknowledgments

We would like to express our sincere gratitude to everyone who provided valuable insights, support, and encouragement throughout this research. We also extend our thanks to the readers for their interest and to the authors of the referenced works, whose scholarly contributions have greatly influenced this study. Lastly, we are deeply grateful to the publishers and reviewers who facilitated the dissemination of this work.

Use of Generative AI and AI-Assisted Tools

I use generative AI and AI-assisted tools for tasks such as English grammar checking, and I do not employ them in any way that violates ethical standards.

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