Bipartite-Hole-Number: Graph Invariant
- Bipartite-hole-number is defined as the maximum integer r such that for every split r = s + t, the graph contains disjoint vertex sets of sizes s and t with no connecting edges.
- It underpins extremal graph theory by influencing Hamiltonicity, pancyclicity, and cycle conditions, thereby extending traditional measures like the independence number.
- Computing the bipartite-hole-number is NP-complete in general, though efficient algorithms exist for fixed parameters, making it a key focus in modern graph theory research.
The bipartite-hole-number of a graph, denoted (also written ), is a structural invariant that generalizes the independence number and governs the presence of large bipartite "holes"—that is, pairs of disjoint vertex sets with no edges between them. This parameter plays a decisive role in extremal graph theory, particularly in Hamiltonicity, pancyclicity, and related degree conditions, and is a focal point in several recent extensions of classical theorems.
1. Formal Definition and Characterizations
Let be a simple graph of order . An –bipartite-hole in is a pair of disjoint subsets with and , such that there are no edges between and 0: 1 The bipartite-hole-number 2 is the maximum integer 3 such that for every pair of non-negative integers 4 with 5, the graph 6 contains such an 7–bipartite hole: 8 Equivalently, it is the minimal 9 such that no pair of disjoint sets of size 0 with 1 are nonadjacent. Thus, for all 2, every partition of 3 into 4 yields a bipartite hole, but for 5 there is at least one 6 missing.
For bipartite graphs 7, related variants include the maximal 8 for which there always exists a pair 9, 0 with 1 and no edges between 2 and 3—in the complement, this is a 4 subgraph.
2. Computation, Algorithms, and Complexity
Determining 5 for an arbitrary graph 6 is computationally intractable in general due to its close relationship with the Maximum Balanced Biclique problem. The decision problem
7
is NP-complete, as shown by reduction from the Balanced Complete Bipartite Subgraph problem (McDiarmid et al., 2016). Furthermore, under ETH-type complexity assumptions, 8 cannot be approximated within any factor 9 for some 0.
Nevertheless, for fixed 1 and fixed 2, checking whether an 3–bipartite hole exists reduces to searching for a 4 in the complement 5, which is polynomial-time for fixed parameters.
A constructive result is an 6-time algorithm that either outputs a Hamilton cycle in 7 or provides a certificate that 8 (McDiarmid et al., 2016).
3. Extremal Examples and Range
The extremes of 9 are:
| Graph | 0 | Remarks |
|---|---|---|
| Complete 1 | 2 | All vertex pairs connected |
| Edgeless 3 | 4 | All nontrivial bipartitions form bipartite holes |
| Complete bipartite 5 (6) | 7 | Worst-case: both sets lie in smaller part |
| Path 8, 9 | 0 | No 1–hole once 2 is large |
In general, for any 3, 4, and 5, where 6 is the chromatic number (Li et al., 11 Jun 2025, Ellingham et al., 1 Nov 2025).
4. Relationships to Other Graph Invariants
The bipartite-hole-number generalizes the independence number 7. Every large independent set 8 of size 9 and any outside vertex 0 gives a 1–bipartite hole, hence 2.
It is also linked to vertex-connectivity: 3 where 4 is the vertex-connectivity. This follows from the extremal expressions (Ellingham et al., 1 Nov 2025, Cheng et al., 20 Nov 2025): 5 where 6 is the set of neighbors of 7 in 8. This duality highlights the parameter's role as a measure of global nonexpansion.
5. Fundamental Extremal Results and Hamiltonicity
Minimum Degree and Hamiltonicity
The central theorem of McDiarmid–Yolov states (McDiarmid et al., 2016, Ellingham et al., 1 Nov 2025, Cheng et al., 20 Nov 2025):
Let 9 be a graph of order 0. If 1, then 2 is Hamiltonian.
This extends Dirac's classical theorem (3 ensures Hamiltonicity), since any graph with 4 must have 5.
Degree Sum and Cyclability
Ore-type and cyclability extensions include:
For 2-connected 6, if 7 for all nonadjacent 8, then 9 is Hamiltonian, except for a family of exceptional graphs (Ellingham et al., 1 Nov 2025, Cheng et al., 20 Nov 2025).
Moreover, every (not necessarily Hamiltonian) graph contains a cycle through all vertices 0 with 1 (Li et al., 11 Jun 2025, Ellingham et al., 1 Nov 2025).
Pancyclicity
Correia, Draganic, and Sudakov (2024) established:
If 2, then 3 is pancyclic unless 4 (Ellingham et al., 1 Nov 2025).
This result unifies and sharpens various cycle-extremal thresholds, showing that large bipartite holes obstruct not only Hamiltonicity but the presence of cycles of all lengths.
6. Bipartite-Hole-Number in Bipartite Graphs
For balanced bipartite graphs 5, the function 6 denotes the largest integer 7 such that every 8 bipartite 9 with 00 contains a 01 bi-hole (i.e., 02 in the complement) (Axenovich et al., 2020):
- For large 03, 04.
- Exact values and tight bounds are known for small 05, e.g., 06.
- The case 07 remains open within a substantial constant gap.
Degree-based lower bounds, such as Caro–Wei analogues, state that for 08 with degree sequence 09,
10
(Kogan, 2020, Ehard et al., 2020). There are refined bounds for higher degeneracy and average degree, supporting optimal bihole size under various constraints.
7. Open Problems and Research Directions
Several open questions are actively investigated:
- Hamilton-connectedness and cycle lengths: Whether the degree-sum conditions with 11 can be further sharpened to ensure Hamilton-connectedness or pancyclicity (beyond known exceptions) (Ellingham et al., 1 Nov 2025, Cheng et al., 20 Nov 2025).
- Asymptotics for 12 in bipartite graphs: Closing the constant gap for the case 13 and determining sharp thresholds for larger 14 (Axenovich et al., 2020, Ehard et al., 2020).
- Computation and approximation: Determining whether more efficient algorithms or better approximation factors can be obtained for general graphs (McDiarmid et al., 2016).
- Connectivity versus 15: Further exploring direct relationships between 16 and other critical graph invariants (e.g., vertex-connectivity, chromatic number) (Ellingham et al., 1 Nov 2025).
The parameter 17 provides a flexible and powerful lens through which to understand and unify extremal conditions for cycles, paths, and constructed obstacles in both bipartite and general graphs. It encapsulates the robust obstruction posed by large independent bipartitions, leading to sharp stability and extremal results across a range of Hamiltonicity-type phenomena.
Principal references: (Axenovich et al., 2020, Ehard et al., 2020, Kogan, 2020, McDiarmid et al., 2016, Li et al., 11 Jun 2025, Ellingham et al., 1 Nov 2025, Cheng et al., 20 Nov 2025)