On the Number of Quantifiers as a Complexity Measure
Ronald Fagin, Jonathan Lenchner, Nikhil Vyas, Ryan Williams

TL;DR
This paper advances the understanding of the number of quantifiers as a complexity measure in first-order logic by providing explicit examples that distinguish between quantifier rank and total quantifier count, especially in finite structures.
Contribution
It introduces new results that differentiate minimum quantifier number from quantifier rank and variable count, and constructs properties requiring exponentially more quantifiers than their quantifier rank suggests.
Findings
Explicit properties with quantifier rank k need 2^{Ω(k^2)} quantifiers.
Distinction between minimum quantifier number and other complexity measures.
Extension of game-theoretic analysis to quantify logical complexity.
Abstract
In 1981, Neil Immerman described a two-player game, which he called the "separability game" \cite{Immerman81}, that captures the number of quantifiers needed to describe a property in first-order logic. Immerman's paper laid the groundwork for studying the number of quantifiers needed to express properties in first-order logic, but the game seemed to be too complicated to study, and the arguments of the paper almost exclusively used quantifier rank as a lower bound on the total number of quantifiers. However, last year Fagin, Lenchner, Regan and Vyas rediscovered the games, provided some tools for analyzing them, and showed how to utilize them to characterize the number of quantifiers needed to express linear orders of different sizes. In this paper, we push forward in the study of number of quantifiers as a bona fide complexity measure by establishing several new results. First we…
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