Given a graph F, let I(F) be the class of graphs containing F as an induced subgraph. Let W[F] denote the minimum k such that I(F) is definable in k-variable first-order logic. The recognition problem of I(F), known as Induced Subgraph Isomorphism (for the pattern graph F), is solvable in time O(n^{W[F]}). Motivated by this fact, we are interested in determining or estimating the value of W[F]. Using Olariu's characterization of paw-free graphs, we show that I(K_3+e) is definable by a first-order sentence of quantifier depth 3, where K_3+e denotes the paw graph. This provides an example of a graph F with W[F] strictly less than the number of vertices in F. On the other hand, we prove that W[F]=4 for all F on 4 vertices except the paw graph and its complement. If F is a graph on t vertices, we prove a general lower bound W[F]>(1/2-o(1))t, where the function in the little-o notation approaches 0 as t increases. This bound holds true even for a related parameter W^*[F], which is defined as the minimum k such that I(F) is definable in the k-variable infinitary logic. We show that W^*[F] can be strictly less than W[F]. Specifically, W^*[P_4]=3 for P_4 being the path graph on 4 vertices.
@InProceedings{verbitsky_et_al:LIPIcs.CSL.2017.40, author = {Verbitsky, Oleg and Zhukovskii, Maksim}, title = {{On the First-Order Complexity of Induced Subgraph Isomorphism}}, booktitle = {26th EACSL Annual Conference on Computer Science Logic (CSL 2017)}, pages = {40:1--40:16}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-045-3}, ISSN = {1868-8969}, year = {2017}, volume = {82}, editor = {Goranko, Valentin and Dam, Mads}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CSL.2017.40}, URN = {urn:nbn:de:0030-drops-76841}, doi = {10.4230/LIPIcs.CSL.2017.40}, annote = {Keywords: the induced subgraph isomorphism problem, descriptive and computational complexity, finite-variable first-order logic, quantifier depth and variable w} }
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