- The paper establishes improved lower bounds: at least 304 edges for Q7 and 680 edges for Q8 in C4-free subgraphs.
- It employs a two-phase simulated annealing algorithm and exhaustive 4-cycle enumeration to certify subgraph optimality.
- The computational approach reveals a rich structure of locally maximal configurations, supporting conjectures on the bounds' tightness.
New Lower Bounds for C4โ-Free Subgraphs of Hypercubes Q7โ and Q8โ
Problem Setting and Prior Bounds
This work addresses the extremal function ex(Qnโ,C4โ): the maximum size of a subgraph of the n-dimensional hypercube Qnโ that is C4โ-free, where C4โ denotes the 4-cycle. The determination of ex(Qnโ,C4โ) is a classical open question in extremal graph theory, initially posed by Erdลs. The hypercube Qnโ has Q7โ0 vertices and Q7โ1 edges, and the Q7โ2-free constraint is highly nontrivial due to the abundance of 4-cycles in high-dimensional hypercubes.
Previous significant results include:
- Lower bounds from Brass, Harborth, and Nienborg (BHN), yielding Q7โ3 for Q7โ4, with a weaker variant for general Q7โ5.
- An upper bound of Q7โ6 via flag algebra methods, due to Balogh et al.
Exact values are known for Q7โ7, while Q7โ8 remained open.
Main Contributions
Explicit lower bounds are improved for Q7โ9 and Q8โ0:
These improvements are achieved via computational constructions and outperform previous estimates: the prior BHN method gave approximately Q8โ3 and Q8โ4 for Q8โ5 and Q8โ6, respectively. Both cases exhibit surplus: Q8โ7 edges (Q8โ8) for Q8โ9 and ex(Qnโ,C4โ)0 edges (ex(Qnโ,C4โ)1) for ex(Qnโ,C4โ)2.
Methodology and Computational Approach
The study employs a two-phase simulated annealing algorithm:
- Penalty Simulated Annealing: Minimizes a penalized objective ex(Qnโ,C4โ)3, with ex(Qnโ,C4โ)4 the number of ex(Qnโ,C4โ)5 violations, across millions of steps at varying temperatures and penalty weights.
- Swap Annealing: Fixes the edge count and attempts edge swaps to reduce ex(Qnโ,C4โ)6 violations, at higher computational intensity for supersaturated candidates.
Both phases utilize randomization via hypercube automorphisms to diversify search trajectories. Certificates of ex(Qnโ,C4โ)7-freeness are obtained by exhaustive enumeration of all 4-cycles in ex(Qnโ,C4โ)8โguaranteed due to the explicit combinatorial structure of ex(Qnโ,C4โ)9โand algorithmic checks per Lemma 2 of the paper.
Structural Properties of Constructions
For n0, the optimal constructions all exhibit:
- Degree sequence: 32 vertices of degree 4, 96 of degree 5.
- Bipartiteness: Largest and smallest eigenvalues are equal in magnitude and opposite in sign, as expected.
- Trace condition: The trace of n1 equals the sum n2, reflecting absence of 4-cycles.
- Local maximality: Every non-edge addition induces a n3.
A striking computational finding is the abundance of such locally maximal structures: n4 pairwise edge-distinct n5-free subgraphs with 304 edges were discovered for n6, with Hamming distances between solutions ranging widely, indicating a rich and nontrivial solution landscape.
For n7, the degree sequence found is n8. The exact BHN-type formula does not apply as n9 is non-integral power of Qnโ0, but the edge-count advantage over the estimate is clear.
Strong and Conjectured Results
Multiple lines of empirical evidence strongly support the tightness of the new lower bounds:
- Persistent failure to reach 305 edges in Qnโ1-free subgraphs of Qnโ2, across Qnโ3 trials, with minimum violation (number of Qnโ4s) never reaching zero.
- For Qnโ5, attempts at Qnโ6-edge graphs always resulted in at least one Qnโ7, over Qnโ8 trials.
Based on this evidence, the paper conjectures that Qnโ9 and that C4โ0 is optimal or nearly optimal for C4โ1.
Theoretical and Practical Implications
The techniques and results offer direct numerical progress on small hypercube extremal functions, advance computational methods for extremal combinatorics, and illustrate the intricacies of local optimality and structure in forbidden subgraph problems. The explicit enumerative and verification algorithm demonstrates a scalable paradigm for certifying forbidden subgraph properties in exponentially large, high-regularity graphs.
Implications extend to theoretical questions about the uniqueness and diversity of extremal configurations, the applicability of automated proof techniques (e.g., flag algebras) to small C4โ2, and the role of heuristic search algorithms in combinatorial optimization. The success of exhaustive and randomized search in revealing the diversity of extremal subgraph configurations is of particular practical interest for designing and analyzing large-scale combinatorial structures subject to local constraints.
Future directions include:
- Rigorous proof of the tightness of these lower bounds
- Extension to C4โ3 with C4โ4
- Analysis of possible improvements via advanced algebraic or probabilistic techniques, such as flag algebras
Conclusion
This work establishes improved explicit lower bounds for the number of edges in C4โ5-free subgraphs of C4โ6 and C4โ7, constructs and certifies a large number of locally maximal solutions, and presents strong computational evidence for precise extremal values at these dimensions. The research exemplifies the efficacy of computational search and combinatorial enumeration methods in extremal graph theory and opens avenues for both theoretical and computational advances in hypercube subgraph problems (2603.29127).