Refined Large Deviation Principle for Polygonal Lines Constructed from Sums of Independent Random Variables Full article
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Siberian Mathematical Journal
ISSN: 0037-4466 , E-ISSN: 1573-9260 |
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| Output data | Year: 2026, Volume: 67, Number: 5, Pages: 1149-1163 Pages count : 15 DOI: 10.1134/s0037446626050150 | ||
| Tags | random walk, large deviation principle, rate function, H¨older function, H¨older metric | ||
| Authors |
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| Affiliations |
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Funding (1)
| 1 | Министерство науки и высшего образования РФ | FWNF-2026-0030 |
Abstract:
A large deviation principle is established for the paths of polygonal lines constructed from sums of independent random variables in the space of H¨older functions endowed with the H¨older metric. Simple moment conditions on the random variables under which results of this kind hold are also obtained. Since the H¨older metric is stronger than the uniform metric, the result obtained refines wellknown earlier theorems concerning the large deviation principle for the paths of such polygonal lines in the space of continuous functions endowed with the uniform metric.
Cite:
Logachov A.V.
Refined Large Deviation Principle for Polygonal Lines Constructed from Sums of Independent Random Variables
Siberian Mathematical Journal. 2026. V.67. N5. P.1149-1163. DOI: 10.1134/s0037446626050150 WOS Scopus OpenAlex
Refined Large Deviation Principle for Polygonal Lines Constructed from Sums of Independent Random Variables
Siberian Mathematical Journal. 2026. V.67. N5. P.1149-1163. DOI: 10.1134/s0037446626050150 WOS Scopus OpenAlex
Original:
Логачев А.В.
Уточненный принцип больших уклонений для ломаных, построенных по суммам независимых случайных величин
Сибирский математический журнал. 2026. Т.67. №5. С.942-959. DOI: 10.33048/smzh.2026.67.515
Уточненный принцип больших уклонений для ломаных, построенных по суммам независимых случайных величин
Сибирский математический журнал. 2026. Т.67. №5. С.942-959. DOI: 10.33048/smzh.2026.67.515
Dates:
| Submitted: | Sep 18, 2025 |
| Accepted: | Jun 6, 2026 |
| Published print: | Sep 24, 2026 |
| Published online: | Sep 24, 2026 |
Identifiers:
| ≡ Web of science: | WOS:001885470600018 |
| ≡ Scopus: | 2-s2.0-105051745371 |
| ≡ OpenAlex: | W7214183368 |