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Exact Signature Tail Asymptotics for Pure Rough Paths

Probability 2026-06-29 v1

Abstract

We prove~\cite[Conjecture 2.12]{BGS20} on the signature tail asymptotics of pure rough paths and extend it to arbitrary reasonable tensor norms. In more details, let Xt=exp(tl) with l=l1++lm and lrLr(V), \mathbf X_t=\exp(tl) \,\text{ with }\, l=l_1+\cdots+l_m\,\text{ and }\, l_r\in\mathcal L_r(V), be a pure mm-rough path over a finite dimensional real or complex Banach space, and equip the tensor powers of VV with arbitrary reasonable tensor algebra norms. We prove that lim supn((nm)!πn(expl)n)m/n=lmm. \limsup_{n\to\infty}\left(\left(\frac{n}{m}\right)!\left\|\pi_n(\exp l)\right\|_n\right)^{m/n}=\|l_m\|_m . In particular, this identifies the signature tail with the local mm-variation of the pure rough path. The upper bound was obtained in~\cite{BGS20}; the main contribution of the paper is the matching lower bound. Its proof is based on finite dimensional developments and a norming cyclic construction. For every top-level tensor lml_m, we also build a contractive development in which lmm\|l_m\|_m appears as an eigenvalue at degree mm.

Cite

@article{arxiv.2606.30055,
  title  = {Exact Signature Tail Asymptotics for Pure Rough Paths},
  author = {Nannan Li and Xing Gao},
  journal= {arXiv preprint arXiv:2606.30055},
  year   = {2026}
}

Comments

17 pages

R2 v1 2026-07-22T20:14:43.042Z