English

Weierstrass Bridges

Probability 2024-01-01 v2

Abstract

We introduce a new class of stochastic processes called fractional Wiener-Weierstrass bridges. They arise by applying the convolution from the construction of the classical, fractal Weierstrass functions to an underlying fractional Brownian bridge. By analyzing the pp-th variation of the fractional Wiener-Weierstrass bridge along the sequence of bb-adic partitions, we identify two regimes in which the processes exhibit distinct sample path properties. We also analyze the critical case between those two regimes for Wiener-Weierstrass bridges that are based on standard Brownian bridge. We furthermore prove that fractional Wiener-Weierstrass bridges are never semimartingales, and we show that their covariance functions are typically fractal functions. Some of our results are extended to Weierstrass bridges based on bridges derived from a general continuous Gaussian martingale.

Keywords

Cite

@article{arxiv.2304.04944,
  title  = {Weierstrass Bridges},
  author = {Alexander Schied and Zhenyuan Zhang},
  journal= {arXiv preprint arXiv:2304.04944},
  year   = {2024}
}

Comments

40 pages, 2 figures

R2 v1 2026-06-28T09:58:43.879Z