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Moduli spaces of geometric functorial field theories

This paper develops a framework for computing moduli spaces of geometric functorial field theories by defining Cartesian realizations of geometric structures as equivariant simplicial presheaves, thereby presenting these moduli spaces as mapping spaces between such presheaves.

Original authors: Jacek Kenig, Dmitri Pavlov

Published 2026-09-11
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Original authors: Jacek Kenig, Dmitri Pavlov

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Quantum field theory is the framework physicists use to describe how the smallest particles in the universe behave and interact. For decades, mathematicians have tried to formalize this theory into a precise set of rules, much like writing a rigorous grammar for a language that nature speaks fluently but we struggle to read. Two main approaches have emerged to tackle this problem. One approach, closer to the way we think about forces in a fixed region of space, focuses on the algebra of what can be observed. The other, which this new work embraces, treats the theory as a story of evolution. In this view, the universe is not just a static collection of objects, but a series of transitions. You start with a shape representing a moment in time, and the theory tells you how that shape changes as it moves through space and time, evolving into a new shape. The challenge has always been to capture not just the topological shape of these transitions, but the specific geometric details that matter in the real world, such as the length of a path or the curvature of a surface.

A team of mathematicians, Jacek Kenig and Dmitri Pavlov, has developed a new set of tools to solve a specific problem in this field: how to map out all the possible ways a geometric quantum field theory can exist. Imagine trying to catalog every possible rulebook for how a particle could travel through a curved space. Previously, doing this required navigating a labyrinth of complex, high-dimensional shapes that were incredibly difficult to compute. The researchers have found a way to flatten this landscape. They proved that the vast, complicated space of all possible theories can be reduced to a much simpler, more manageable form. Instead of wrestling with the full complexity of every possible geometric variation, their method allows physicists to calculate the space of theories by looking at how they behave on the simplest possible building blocks: flat, rectangular grids of space.

The core of their discovery lies in a technique they call "Cartesian realization." In the world of quantum field theory, a "bordism" is a geometric object that connects two shapes, representing the history of a system evolving from one state to another. When these objects carry geometric data, like a Riemannian metric which defines distance and angles, the rules for how they can be combined become incredibly intricate. The authors showed that any complex family of these geometric objects can be faithfully represented by a simpler object defined only on Cartesian spaces—essentially, flat Euclidean spaces like a line, a plane, or a cube. They demonstrated that the entire moduli space, which is the mathematical map of all possible theories, can be reconstructed from how these theories behave on these simple, flat families.

This reduction is powerful because it separates the general theory of how shapes evolve from the specific details of the geometry they carry. By translating the problem into the language of "mapping spaces" between these simplified objects, the researchers turned a problem that was previously intractable into one that standard tools of homotopy theory can handle. Homotopy theory is a branch of mathematics that studies shapes by focusing on how they can be continuously stretched or deformed without tearing. By converting the geometric field theories into this language, the authors provided a clear, computational path forward. They showed that the space of all possible theories is equivalent to the space of all possible ways to map a specific, simplified geometric structure into a target category that represents the physical states of the system.

To illustrate the power of this method, the paper applies it to a one-dimensional case, which corresponds to the movement of a particle along a line. In this specific scenario, the geometric structure is simply the length of the path. The researchers showed that their method correctly recovers the known results for this case, proving that the complex machinery they built works. They found that the space of theories for a particle moving on a line is determined by how the theory assigns values to paths of different lengths. This confirms that their approach preserves the essential physical information, such as the fact that a longer path takes more time to traverse, while discarding the unnecessary topological complexity that made previous calculations so difficult.

The significance of this work extends beyond just one dimension. The authors have provided a general framework that can be applied to any dimension and any type of geometric structure, whether it involves Riemannian metrics, bundles, or other geometric data relevant to physics. They have effectively built a bridge between the abstract world of high-dimensional geometry and the concrete world of computation. By showing that the moduli space of these theories can be presented as a mapping space between simpler objects, they have opened the door for physicists to classify and compute these theories in ways that were previously impossible. This does not solve every problem in quantum field theory, but it provides the essential geometric and homotopical foundation needed to tackle the next generation of questions, allowing researchers to finally compute the spaces of theories that govern the behavior of the universe.

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