Abstract
The relationship between the complexity class \(\mathrm{AC}^0\) and first-order logic transfers to the parameterized class \(\mathrm {para}\text {-}\mathrm{AC}^0\), the parameterized analogue of \(\mathrm{AC}^0\). In the last years this relationship has turned out to be very fruitful. In this paper we survey some of the results obtained, mainly applications of logic to complexity theory. However the last section presents a strict hierarchy theorem for first-order logic obtained by a result of complexity theory.
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The trivial no-instance will be useful in the description of the kernelization function, though in our formulas we will use \(\chi ^k_{\textsc {no}}\) to indicate the cases where the trivial no-instance would have to be output (rather than presenting the cumbersome formula that outputs the trivial no-instance).
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Acknowledgement
We thank an anonymous referee whose detailed review has improved the presentation considerably. The collaboration of the authors is funded by the Sino-German Center for Research Promotion (GZ 1518). Yijia Chen is also supported by National Natural Science Foundation of China (Project 61872092).
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Chen, Y., Flum, J. (2020). Parameterized Parallel Computing and First-Order Logic. In: Blass, A., Cégielski, P., Dershowitz, N., Droste, M., Finkbeiner, B. (eds) Fields of Logic and Computation III. Lecture Notes in Computer Science(), vol 12180. Springer, Cham. https://doi.org/10.1007/978-3-030-48006-6_5
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