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    A logic captures a complexity class when every problem in... — Carmelics
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    Supports→The availability of logic-based (machine-independent) characterizations of complexity classes like NP provides additional evidence for the mathematical robustness of those classes.

    A logic captures a complexity class when every problem in that class is definable by a formula of that logic over finite structures.

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    Machine-independent characterizations demonstrate that the class's identity does...NP is captured by second-order existential logic (SO∃), a characterization that ...The availability of logic-based (machine-independent) characterizations of compl...

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    The complexity class P describes the class of feasibly decidable probl...81%A logic can be defined as a triple consisting of a set of formulas, a ...81%First-order logic (FO) alone is insufficient to characterize complexit...81%First-order logic FO captures only the very weak complexity class AC^0...80%

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    4 Descriptive complexity Another connection between logic and computational complexity is provided by the subject known as descriptive complexity theory. As we have seen, a problem \(X\) is taken to be ‘complex’ in the sense of computational complexity theory in proportion to how difficult it is to decide algorithmically. On the other hand, descriptive complexity takes a problem to be ‘complex’ in proportion to the logical resources which are required to describe its instances. In other words, t

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