
Pavel Hajek
Statement received 6 November 2026 · timeline entries
My involvement began at the Wolfram Winter School 2025, where I worked on the insertion Lie bracket suggested by Carlos and Xerxes. I generalized it to hypergraphs, using a hyperedge as the root, and uncovered its relation to the commutator of linearized “blow-up” rewriting rules. I also explored graded versions and higher-arity constructions based on the insertion or gluing of hypergraphs, as well as the representability of Lie algebras on subsets of rules and subspaces of the hypergraph vector space. I implemented these ideas in code and contributed to the Hypergraph paclet.
In October 2025, I joined the Wolfram Institute, funded by the JTF grant. After some initial contributions to the Wolfram Function Repository, the DiscreteGeometry paclet, and the PvsNP blog project, I started to work with Stephen Wolfram on Infrageometry. Together, we set out to develop the dictionary from the point of view of minimal models of geometric phenomena on graphs.
After initial meetings with Stephen Wolfram and Nik Murzin, where I absorbed the main philosophy and vision and learned about causal graphs, branchial graphs, spatial reconstruction, and the concept of computational minimal models, I proposed a concrete pipeline for obtaining an emergent spacetime from a single-history branch of the multiway system of hypergraph rewriting. The pipeline starts with a given observer chain and foliation, together with nearby observer chains whose intersections with the foliation represent germs based at the original observer. It produces spatial slices fibered over ℤ³, with gauge degrees of freedom and coarse-graining maps. I then committed to developing a mathematically sound narrative and tools for this proposal.
In particular, I implemented the idea of observer-scale dependence in minimal models of spatial geometry and arrived at the notion of renormalizable geometry. I introduced vertex and edge densities for infrageometric multiobjects, counting how often each vertex or edge occurs among their representatives. I proposed infrageometric convergence as scaled Gromov–Hausdorff convergence of metric-measure spaces with specified coarse-graining maps, together with weak convergence of the measures associated with these densities to measures on geometric objects in the limit. This provides a framework for studying how geometric structures emerge as the graph becomes larger and the observer scale increases.
I also implemented a minimal model of fibered graphs compatible with elementary Wolfram Language structures and, together with my student collaborator Ioana Milea, began exploring its connection to lattice gauge theory, viewed as a “mesoscale theory.” Her previous work on this topic provided important inspiration for this direction.
For infracalculus, I viewed integration as aggregation along directed graphs, seen as graphs fibered over ℤ by shortest-path distance from their sources. I defined differentiation as a left inverse of the corresponding integration and classified all sensible versions of these operations.
In parallel with this work, I developed several research repositories exploring these ideas within the broader vision of a computable universe advocated by Stephen Wolfram. In particular, I started developing InfraCausality, a toolkit for exploring discrete special relativity on causal graphs, intended as part of the JTF deliverables. These repositories combine my original code with contributions from Nik Murzin, Dugan Hammock, and student collaborators, as well as code later developed with the assistance of AI tools.
I am very grateful to Stephen Wolfram, Nik Murzin, Dugan Hammock, Carlos, Xerxes Arsiwalla, Ioana Milea, and other members of the institute for sharing their perspectives, ideas, discussions, and suggestions throughout this work. I was also positively influenced and motivated by my mentees and acquaintances at the Wolfram Summer School and Winter School, which provided a great environment for exchanging ideas and sharing our enthusiasm for this novel view of science.
