The fine-grained complexity of computing the tutte polynomial of a linear matroid

Andreas Björklund, Petteri Kaski

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

We show that computing the Tutte polynomial of a linear matroid of dimension k on kO(1) points over a field of kO(1) elements requires kΩ(k) time unless the #ETH-a counting extension of the Exponential Time Hypothesis of Impagliazzo and Paturi [CCC 1999] due to Dell et al. [ACM TALG 2014]-is false. This holds also for linear matroids that admit a representation where every point is associated to a vector with at most two nonzero coordinates. Moreover, we also show that the same is true for computing the Tutte polynomial of a binary matroid of dimension k on kO(1) points with at most three nonzero coordinates in each point's vector. These two results stand in sharp contrast to computing the Tutte polynomial of a k-vertex graph (that is, the Tutte polynomial of a graphic matroid of dimension k-which is representable in dimension k over the binary field so that every vector has exactly two nonzero coordinates), which is known to be computable in 2kkO(1) time [Björklund et al., FOCS 2008]. Our lower-bound proofs proceed in three steps: 1. a classic connection due to Crapo and Rota [1970] between the number of tuples of codewords of full support and the Tutte polynomial of the matroid associated with the code; 2. an earlier-established #ETH-hardness of counting the solutions to a bipartite (d, 2)-CSP on n vertices in do(n) time; and 3. new embeddings of such CSP instances as questions about codewords of full support in a linear code. Geometrically, our hardness results also establish that it is #ETH-hard to compute the volume of proper hyperplane chambers in time ko(k) for a given arrangement of hyperplanes through the origin of a finite k-dimensional vector space over a kO(1)-element field. We complement these lower bounds with two algorithm designs to form essentially a complexity dichotomy under #ETH. The first design computes the Tutte polynomial of a linear matroid of dimension k on kO(1) points in kO(k) arithmetic operations in the base field. The second design generalizes the Björklund et al. algorithm from the graphic case and runs in qk+1kO(1) time for linear matroids of dimension k defined over the q-element field by kO(1) points with at most two nonzero coordinates each.

Original languageEnglish
Title of host publicationACM-SIAM Symposium on Discrete Algorithms, SODA 2021
EditorsDaniel Marx
PublisherAssociation for Computing Machinery (ACM)
Pages2333-2345
Number of pages13
ISBN (Electronic)9781611976465
Publication statusPublished - 2021
Event32nd Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2021 - Alexandria, Virtual, United States
Duration: 2021 Jan 102021 Jan 13

Publication series

NameProceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms

Conference

Conference32nd Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2021
Country/TerritoryUnited States
CityAlexandria, Virtual
Period2021/01/102021/01/13

Subject classification (UKÄ)

  • Computer and Information Science

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