Tight bounds on the performance of dynamic directed cutset data structures based on OMv
Hahn N, Henzinger M, Stefankovic Z. 2026. Tight bounds on the performance of dynamic directed cutset data structures based on OMv. Information Processing Letters. 195, 106663.
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Abstract
Efficient data structures for computing the cutset of a set of nodes in a graph undergoing dynamic edge insertions/deletions are well-studied in undirected graphs. We study this problem in directed graphs and show a reduction from the Online Boolean Matrix-Vector Multiplication Conjecture (OMv) introduced by Henzinger et al. [STOC’15]. We prove conditional on OMv that a dynamic data structure computing the directed cutset of a set of nodes cannot have an amortized time of both O(n2−ε) for a query operation and O(n1−ε) for an update operation, for any constant ε > 0, even when an adversary’s operations are restricted to the incremental or decremental settings. We further give algorithms to match these lower bounds.
Publishing Year
Date Published
2026-08-30
Journal Title
Information Processing Letters
Publisher
Elsevier
Acknowledgement
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101034413 and from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MoDynStruct, No. 101019564) Image 1 dummy alt text. Zofia Stefankovic was partially supported by the ISTernship program of the Institute of Science and Technology Austria and OEAD.
Volume
195
Article Number
106663
ISSN
IST-REx-ID
Cite this
Hahn N, Henzinger M, Stefankovic Z. Tight bounds on the performance of dynamic directed cutset data structures based on OMv. Information Processing Letters. 2026;195. doi:10.1016/j.ipl.2026.106663
Hahn, N., Henzinger, M., & Stefankovic, Z. (2026). Tight bounds on the performance of dynamic directed cutset data structures based on OMv. Information Processing Letters. Elsevier. https://doi.org/10.1016/j.ipl.2026.106663
Hahn, Niklas, Monika Henzinger, and Zofia Stefankovic. “Tight Bounds on the Performance of Dynamic Directed Cutset Data Structures Based on OMv.” Information Processing Letters. Elsevier, 2026. https://doi.org/10.1016/j.ipl.2026.106663.
N. Hahn, M. Henzinger, and Z. Stefankovic, “Tight bounds on the performance of dynamic directed cutset data structures based on OMv,” Information Processing Letters, vol. 195. Elsevier, 2026.
Hahn N, Henzinger M, Stefankovic Z. 2026. Tight bounds on the performance of dynamic directed cutset data structures based on OMv. Information Processing Letters. 195, 106663.
Hahn, Niklas, et al. “Tight Bounds on the Performance of Dynamic Directed Cutset Data Structures Based on OMv.” Information Processing Letters, vol. 195, 106663, Elsevier, 2026, doi:10.1016/j.ipl.2026.106663.