Multidimensional asymptotic classes
Sylvy Anscombe, Dugald Macpherson, Charles Steinhorn, Daniel Wolf

TL;DR
This paper introduces multidimensional asymptotic classes (m.a.c.s), a framework for analyzing classes of finite structures with uniform definable set sizes, extending previous asymptotic class concepts and exploring their model-theoretic properties.
Contribution
It develops the theory of m.a.c.s, provides numerous examples including vector spaces and quiver representations, and introduces generalised measurable structures with applications to model theory.
Findings
m.a.c.s. are preserved under bi-interpretability
Finite ultraproducts of m.a.c.s. are generalised measurable structures
m.a.c.s. include examples like finite fields, vector spaces, and quiver representations
Abstract
We develop a general framework (multidimensional asymptotic classes, or m.a.c.s) for handling classes of finite first order structures with a strong uniformity condition on cardinalities of definable sets: The condition asserts that definable families given by a formula \phi(x,y) should take on a fixed number n_\phi of approximate sizes in any M in the class, with those sizes varying with M. The prototype is the class of all finite fields, where the uniformity is given by a theorem of Chatzidakis, van den Dries and Macintyre. It inspired the development of asymptotic classes of finite structures, which this new framework extends. The underlying theory of m.a.c.s is developed, including preservation under bi-interpretability, and a proof that for the m.a.c. condition to hold it suffices to consider formulas \phi(x,y) with x a single variable. Many examples of m.a.c.s are given,…
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Taxonomy
TopicsMathematical Control Systems and Analysis
