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#### Detecting and Counting Small Subgraphs, and Evaluating a Parameterized Tutte Polynomial: Lower Bounds via Toroidal Grids and Cayley Graph Expanders

##### Fulltext (public)

arXiv:2011.03433.pdf

(Preprint), 2MB

##### Supplementary Material (public)

There is no public supplementary material available

##### Citation

Roth, M., Schmitt, J., & Wellnitz, P. (2020). Detecting and Counting Small Subgraphs, and Evaluating a Parameterized Tutte Polynomial: Lower Bounds via Toroidal Grids and Cayley Graph Expanders. Retrieved from https://arxiv.org/abs/2011.03433.

Cite as: http://hdl.handle.net/21.11116/0000-0007-8CA1-5

##### Abstract

Given a graph property $\Phi$, we consider the problem
$\mathtt{EdgeSub}(\Phi)$, where the input is a pair of a graph $G$ and a
positive integer $k$, and the task is to decide whether $G$ contains a $k$-edge
subgraph that satisfies $\Phi$. Specifically, we study the parameterized
complexity of $\mathtt{EdgeSub}(\Phi)$ and of its counting problem
$\#\mathtt{EdgeSub}(\Phi)$ with respect to both approximate and exact counting.
We obtain a complete picture for minor-closed properties $\Phi$: the decision
problem $\mathtt{EdgeSub}(\Phi)$ always admits an FPT algorithm and the
counting problem $\#\mathtt{EdgeSub}(\Phi)$ always admits an FPTRAS. For exact
counting, we present an exhaustive and explicit criterion on the property
$\Phi$ which, if satisfied, yields fixed-parameter tractability and otherwise
$\#\mathsf{W[1]}$-hardness. Additionally, most of our hardness results come
with an almost tight conditional lower bound under the so-called Exponential
Time Hypothesis, ruling out algorithms for $\#\mathtt{EdgeSub}(\Phi)$ that run
in time $f(k)\cdot|G|^{o(k/\log k)}$ for any computable function $f$.
As a main technical result, we gain a complete understanding of the
coefficients of toroidal grids and selected Cayley graph expanders in the
homomorphism basis of $\#\mathtt{EdgeSub}(\Phi)$. This allows us to establish
hardness of exact counting using the Complexity Monotonicity framework due to
Curticapean, Dell and Marx (STOC'17). Our methods can also be applied to a
parameterized variant of the Tutte Polynomial $T^k_G$ of a graph $G$, to which
many known combinatorial interpretations of values of the (classical) Tutte
Polynomial can be extended. As an example, $T^k_G(2,1)$ corresponds to the
number of $k$-forests in the graph $G$. Our techniques allow us to completely
understand the parametrized complexity of computing the evaluation of $T^k_G$
at every pair of rational coordinates $(x,y)$.