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Evan Patterson, Tim Hosgood, James Fairbanks and I posted our new paper on systems of equations in categories last week: https://arxiv.org/abs/2401.09751
The basic idea is that you can describe an equation, say a system of PDE's, by drawing a diagram in a relevant category, say, a category of vector bundles and differential operators. The indexing shape of such a diagram describes the spaces that participate in the equation.
Roughly speaking, these are the variables that would show up in a traditional presentation of the equation.
(Eg might correspond to a diagram indexed by a cospan.)
We shouldn't really imagine a diagram in a category, here; to allow for multilinear operators, as we want, the diagram is probably really in a multicategory of some kind. Most of the paper is written for a category but happily it turns out that the theory is the same for diagrams in an object of any locally presentable 2-category!
So what's the theory? Well, once you've decided that an equation involving objects of a category (or whatever) is a diagram you suddenly have a category of equations given by the category of diagrams in which is a well-known lax slice kind of construction.
In particular this category lets you change the shape , so you can start to wonder about relationships between equations that have totally different sets of variables, something that's hard to do in traditional syntax.
But are maps in diagram categories meaningful for solving equations? Well, solving a system of differential equations means something like consistently choosing a section of every vector bundle showing up in the system.
That is, it's choosing a cone tipped by the trivial line bundle
A fancier but equivalent way to say this is solving an equation is lifting the diagram against the projection from the coslice
Indeed it's not hard to interpret such liftings against any coslice projection in terms of solving equations; better yet, you can generalize from coslice projections, which are the representable discrete opfibrations, to lifts against arbitrary discrete opfibrations, and still interpret the result quite naturally in terms of solving equations [see the paper intro.]
So getting back to maps of diagrams, you would want to know whether they transport lifts against discrete opfibrations, and indeed, for the correct variance of diagram category, they always do! This was shown in the preceding paper by Evan, Tim, James, and Andrew Baas: https://arxiv.org/abs/2204.01843
Thus the diagram category does meaningfully talk about equations, but it isn't really a category of equations because different diagrams can present "the same" equation in that there are maps of diagrams that induce bijections on sets of lifts against all discrete opfibrations--so the presented equations have all the same solutions of every possible shape.
Such maps are what we study in the paper, and we find that if you invert those maps, what you discover is that every diagram presents a canonical equation given by the discrete opfibration it generates via the comprehensive factorization system (something we have to propose a definition of in a locally presentable 2-category.)
What this implies is that two diagrams present "the same" equation if and only if there's a cospan of initial functors over between them!
We're hoping to use this to find simpler presentations of systems of PDE's in our Decapodes software project for compositional multiphysics: https://github.com/AlgebraicJulia/Decapodes.jl
Other than the applied connections, I'm curious to think more about how the idea of solving an equation relative to an arbitrary discrete opfibration over the base connects to the algebraic geometry story of solving an equation relative to an arbitrary scheme over a base.
I'm excited to have this paper up as it's my first publication since moving from higher category theory to ACT!