Convergence of Locally Square Integrable Martingales to a Continuous Local Martingale

Let for each 𝑛∈ℕ𝑋𝑛 be an ℝ𝑑-valued locally square integrable martingale w.r.t. a filtration (ℱ𝑛(𝑡),𝑡∈ℝ+) (probability spaces may be different for different 𝑛). It is assumed that the discontinuities of 𝑋𝑛 are in a sense asymptotically small as 𝑛→∞ and the relation 𝖤(𝑓(⟨𝑧𝑋𝑛⟩(𝑡))|ℱ𝑛(𝑠))−𝑓(⟨𝑧𝑋𝑛⟩(𝑡))𝖯→0...

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Main Author: Andriy Yurachkivsky
Format: Article
Language:English
Published: Wiley 2011-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2011/580292
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author Andriy Yurachkivsky
author_facet Andriy Yurachkivsky
author_sort Andriy Yurachkivsky
collection DOAJ
description Let for each 𝑛∈ℕ𝑋𝑛 be an ℝ𝑑-valued locally square integrable martingale w.r.t. a filtration (ℱ𝑛(𝑡),𝑡∈ℝ+) (probability spaces may be different for different 𝑛). It is assumed that the discontinuities of 𝑋𝑛 are in a sense asymptotically small as 𝑛→∞ and the relation 𝖤(𝑓(⟨𝑧𝑋𝑛⟩(𝑡))|ℱ𝑛(𝑠))−𝑓(⟨𝑧𝑋𝑛⟩(𝑡))𝖯→0 holds for all 𝑡>𝑠>0, row vectors 𝑧, and bounded uniformly continuous functions 𝑓. Under these two principal assumptions and a number of technical ones, it is proved that the 𝑋𝑛's are asymptotically conditionally Gaussian processes with conditionally independent increments. If, moreover, the compound processes (𝑋𝑛(0),⟨𝑋𝑛⟩) converge in distribution to some (∘𝑋,𝐻), then a sequence (𝑋𝑛) converges in distribution to a continuous local martingale 𝑋 with initial value ∘𝑋 and quadratic characteristic 𝐻, whose finite-dimensional distributions are explicitly expressed via those of (∘𝑋,𝐻).
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spelling doaj-art-77660999ddc242eda5fc33b9294ee2b92025-02-03T07:24:52ZengWileyJournal of Probability and Statistics1687-952X1687-95382011-01-01201110.1155/2011/580292580292Convergence of Locally Square Integrable Martingales to a Continuous Local MartingaleAndriy Yurachkivsky0Taras Shevchenko National University, 01601 Kyiv, UkraineLet for each 𝑛∈ℕ𝑋𝑛 be an ℝ𝑑-valued locally square integrable martingale w.r.t. a filtration (ℱ𝑛(𝑡),𝑡∈ℝ+) (probability spaces may be different for different 𝑛). It is assumed that the discontinuities of 𝑋𝑛 are in a sense asymptotically small as 𝑛→∞ and the relation 𝖤(𝑓(⟨𝑧𝑋𝑛⟩(𝑡))|ℱ𝑛(𝑠))−𝑓(⟨𝑧𝑋𝑛⟩(𝑡))𝖯→0 holds for all 𝑡>𝑠>0, row vectors 𝑧, and bounded uniformly continuous functions 𝑓. Under these two principal assumptions and a number of technical ones, it is proved that the 𝑋𝑛's are asymptotically conditionally Gaussian processes with conditionally independent increments. If, moreover, the compound processes (𝑋𝑛(0),⟨𝑋𝑛⟩) converge in distribution to some (∘𝑋,𝐻), then a sequence (𝑋𝑛) converges in distribution to a continuous local martingale 𝑋 with initial value ∘𝑋 and quadratic characteristic 𝐻, whose finite-dimensional distributions are explicitly expressed via those of (∘𝑋,𝐻).http://dx.doi.org/10.1155/2011/580292
spellingShingle Andriy Yurachkivsky
Convergence of Locally Square Integrable Martingales to a Continuous Local Martingale
Journal of Probability and Statistics
title Convergence of Locally Square Integrable Martingales to a Continuous Local Martingale
title_full Convergence of Locally Square Integrable Martingales to a Continuous Local Martingale
title_fullStr Convergence of Locally Square Integrable Martingales to a Continuous Local Martingale
title_full_unstemmed Convergence of Locally Square Integrable Martingales to a Continuous Local Martingale
title_short Convergence of Locally Square Integrable Martingales to a Continuous Local Martingale
title_sort convergence of locally square integrable martingales to a continuous local martingale
url http://dx.doi.org/10.1155/2011/580292
work_keys_str_mv AT andriyyurachkivsky convergenceoflocallysquareintegrablemartingalestoacontinuouslocalmartingale