From Humean Laws to a Neo-Kantian Spacetime: A Dynamics-First View of Topology (2308.14146v1)
Abstract: Do the spacetime manifolds which feature in our best scientific theories reflect anything metaphysically weighty in the world (e.g., any fundamental substances or relations)? Should we extend our notions of space and time beyond the epistemological roles they play in helping us codify the dynamical behavior of matter? Kant famously answered ``No'' to both of these questions, contra Newton and Leibniz. This paper introduces novel technical and philosophical support for such a (Neo-)Kantian perspective on the metaphysics of space and time. To begin, I will make an explicit analogy between broadly Humean views of laws (e.g., Lewis, Demarest, etc.) and dynamics-first views of geometry (e.g., Brown). I will then continue this line of analogous views beyond the metaphysics of laws debate and the dynamical vs geometric spacetime debate by extending it into the context of spacetime topology. Namely, I will put forward a dynamics-first view of topology (in answer to Norton's problem of pre-geometry). This dynamics-first view of topology is supported by some powerful new techniques for topological redescription which I have recently developed in Grimmer (2023a) and Grimmer (2023b), namely the ISE Method. These new techniques allow us to remove and replace the topological underpinnings of our spacetime theories just as easily as we can switch between different coordinate systems. For instance, a theory set on a M\"obius strip might be redescribed as being set on the Euclidean plane and vice versa. Indeed, as Grimmer (2023b) has proved, the ISE Method gives us access to effectively every possible spacetime framing of a given theory's kinematical and dynamical content. Given this overabundance of candidate spacetime framings, it is then conceivable that one can pick out a theory's topological structure via something analogous to a Best Systems Analysis.
Collections
Sign up for free to add this paper to one or more collections.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.