PreprintCC BY 4.0arXiv
On Large Drift Enhancement for the Relaxation Time of Averages
Abstract
In this note we prove in a broad analytic set-up a general result characterizing the asymptotic vanishing of the L2-relaxation time of averages in the presence of a large incompressible drift-like term. The broad analytic set-up is analogous to that of Constantin-Kiselev-Ryzhik-Zlatos '08 or of Coti Zelati-Delgadino-Elgindi '20. A crucial role is played by the singular value gap method of Chatterjee '25, further developed by Eberle-Lörler '26.
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BibTeX
@misc{sznitman2026large,
title = {{On Large Drift Enhancement for the Relaxation Time of Averages}},
author = {Alain-Sol Sznitman and Klaus Widmayer},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.12425},
eprint = {2610.12425},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.12425},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - On Large Drift Enhancement for the Relaxation Time of Averages
AU - Alain-Sol Sznitman
AU - Klaus Widmayer
PY - 2026
DA - 2026/10/08
PB - arXiv
DO - 10.48550/arxiv.2610.12425
UR - https://arxiv.org/abs/2610.12425
AB - In this note we prove in a broad analytic set-up a general result characterizing the asymptotic vanishing of the L^2-relaxation time of averages in the presence of a large incompressible drift-like term. The broad analytic set-up is analogous to that of Constantin-Kiselev-Ryzhik-Zlatos '08 or of Coti Zelati-Delgadino-Elgindi '20. A crucial role is played by the singular value gap method of Chatterjee '25, further developed by Eberle-Lörler '26.
ER -