Original title: Heat content and spectrum for subordinated sub-Laplacians
Maria Gordina, Liangbing Luo, Andrea Pinamonti, Rohan Sarkar · September 2026
Mathematicians want to understand how energy or heat spreads in curved, complex shapes called Carnot groupsGeometric structures with symmetric properties used to study differential operators.. In this paper, researchers studied a specific mathematical tool that models heat flow, called a subordinated sub-Laplacian. They looked at what happens when they trap this process inside bounded spaces with edges that hold the heat at zero. By connecting the new process to standard sub-Laplacian systems, they found clear formulas to estimate its energy levels, known as eigenvalues. They also calculated how much total heat remains over very long timeframes using the gap between these energy levels. Finally, for a fractional version of the operator, they tracked the heat contentA measure of the total amount of heat present in a region at a given time. and relative heat content across very short amounts of time.
Imagine filling a bathtub with water, but the tub has irregular shapes and some parts are sealed off so water cannot flow through. The water leaks at varying rates depending on the tub's shape and the sealed areas, making it hard to predict exactly how much water remains over time. In this paper, the bathtub is like a Carnot group, the water represents heat, and the sealed parts are Dirichlet boundaries. The researchers find formulas to predict the water level, which corresponds to heat content, based on the tub's geometry and constraints.
This work gives mathematicians exact tools to model how heat or diffusion behaves in spaces with boundaries and complex shapes. Accurate predictions here underpin theoretical advances in physics and engineering that rely on such models.
The abstract doesn't explicitly state limitations, but the results apply to a large class of subordinators, which may not include all possible cases.
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Heat content and spectrum for subordinated sub-Laplacians — Maria Gordina, Liangbing Luo, Andrea Pinamonti et al.
Abstract licence: CC0
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.