English

Gaussian closure and dynamical mean-field theory for self-avoiding heteropolymers

Soft Condensed Matter 2026-04-03 v1 Biological Physics

Abstract

Analytical treatments of polymer dynamics have mostly been restricted to linear response theory around some steady state obtained via perturbative field theory. Here, I derive an analytical framework that yields unified access to the evolution of conformations, contact probabilities, and fluctuations within a dynamical mean-field theory. Starting with the Langevin equation of a hydrodynamically coupled and self-avoiding heteropolymer, the key idea is to focus on the two-point correlator as the lowest-order relevant observable. Truncating higher-order correlations via a Gaussian closure leads to a self-consistent diffusion equation for the chain correlations. The theory is validated by contrasting coiled, globular, and self-avoiding polymers within a single dynamical framework, and predicts hyper-compacted fractal states in hydrodynamically coupled active polymers such as chromatin.

Keywords

Cite

@article{arxiv.2604.02085,
  title  = {Gaussian closure and dynamical mean-field theory for self-avoiding heteropolymers},
  author = {Andriy Goychuk},
  journal= {arXiv preprint arXiv:2604.02085},
  year   = {2026}
}
R2 v1 2026-07-01T11:51:05.479Z