Affirmative Results on a Conjecture on the Column Space of the Adjacency Matrix
S. Akansha, K. C. Sivakumar
TL;DR
The paper advances the ACK conjecture by developing a kernel-vector, zero-sum subset framework and applying it to construct broad families of graphs that satisfy ACK, including satellite graphs and various core-graph constructions. It proves that several natural graph operations, notably the $K_2$-cartesian product under spectral conditions and vertex-adding procedures, preserve the ACK property, and it shows how core graphs of arbitrary nullity can abide by ACK through matrix-structural criteria. The results collectively widen the classes of graphs for which ACK holds and argue against potential counterexamples within the class ${\cal C}$, offering constructive tools for building ACK-satisfying graphs and deepening understanding of the conjecture’s structural invariants.
Abstract
The Akbari-Cameron-Khosrovshahi (ACK) conjecture, which appears to be unresolved, states that for any simple graph $G$ with at least one edge, there exists a nonzero {$\{0,1\}$}-vector in the row space of its adjacency matrix that is not a row of the matrix itself. In this talk, we present a unified framework that includes several families and operations of graphs that satisfy the ACK conjecture. Using these fundamental results, we introduce new graph constructions and demonstrate, through graph structural and linear algebraic arguments, that these constructions adhere to the conjecture. Further, we show that certain graph operations preserve the ACK property. These results collectively expand the known classes of graphs satisfying the conjecture and provide insight into its structural invariance under composition and extension.
