On exponential local martingales associated with strong Markov continuous local martingales

We investigate integral functionals T t = ∫ R L Y ( t , a ) m ( d a ) , t ≥ 0 , where m is a nonnegative measure on ( R , ℬ ( R ) ) and L Y is the local time of a Wiener process with drift, i.e.,  Y t = W t + t , t ≥ 0 , with a standard Wiener process W . We give conditions for a.s. convergence and...

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Published inStochastic processes and their applications Vol. 119; no. 9; pp. 2859 - 2880
Main Authors Blei, Stefan, Engelbert, Hans-Jürgen
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.09.2009
Elsevier
SeriesStochastic Processes and their Applications
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Abstract We investigate integral functionals T t = ∫ R L Y ( t , a ) m ( d a ) , t ≥ 0 , where m is a nonnegative measure on ( R , ℬ ( R ) ) and L Y is the local time of a Wiener process with drift, i.e.,  Y t = W t + t , t ≥ 0 , with a standard Wiener process W . We give conditions for a.s. convergence and divergence of T t , t ≥ 0 , and T ∞ . In the second part of the present note we apply these results to exponential local martingales associated with strong Markov continuous local martingales. In terms of the speed measure of a strong Markov continuous local martingale, we state a necessary and sufficient condition for the exponential local martingale associated with a strong Markov continuous local martingale to be a martingale.
AbstractList We investigate integral functionals , t>=0, where m is a nonnegative measure on and LY is the local time of a Wiener process with drift, i.e., Yt=Wt+t, t>=0, with a standard Wiener process W. We give conditions for a.s. convergence and divergence of Tt, t>=0, and T[infinity]. In the second part of the present note we apply these results to exponential local martingales associated with strong Markov continuous local martingales. In terms of the speed measure of a strong Markov continuous local martingale, we state a necessary and sufficient condition for the exponential local martingale associated with a strong Markov continuous local martingale to be a martingale.
We investigate integral functionals T t = ∫ R L Y ( t , a ) m ( d a ) , t ≥ 0 , where m is a nonnegative measure on ( R , ℬ ( R ) ) and L Y is the local time of a Wiener process with drift, i.e.,  Y t = W t + t , t ≥ 0 , with a standard Wiener process W . We give conditions for a.s. convergence and divergence of T t , t ≥ 0 , and T ∞ . In the second part of the present note we apply these results to exponential local martingales associated with strong Markov continuous local martingales. In terms of the speed measure of a strong Markov continuous local martingale, we state a necessary and sufficient condition for the exponential local martingale associated with a strong Markov continuous local martingale to be a martingale.
Author Engelbert, Hans-Jürgen
Blei, Stefan
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Issue 9
Keywords 60J65
Martingale property of stochastic exponentials
60G44
60H10
Stochastic differential equations
Continuous local martingales
Continuous exponential local martingales
60G30
Brownian motion
0–1-laws
Stochastic exponentials
60J25
Brownian motion with drift
Integral functionals
Continuous strong Markov processes
60G48
Markov process
Divergence
Necessary and sufficient condition
Wiener process
Stochastic process
Local time
Convergence
0-1-laws
Integral
Speed
Functional
Application
Language English
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Snippet We investigate integral functionals T t = ∫ R L Y ( t , a ) m ( d a ) , t ≥ 0 , where m is a nonnegative measure on ( R , ℬ ( R ) ) and L Y is the local time...
We investigate integral functionals , t>=0, where m is a nonnegative measure on and LY is the local time of a Wiener process with drift, i.e., Yt=Wt+t, t>=0,...
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SubjectTerms 0–1-laws
Brownian motion
Brownian motion with drift
Continuous exponential local martingales
Continuous local martingales
Continuous local martingales Continuous strong Markov processes Stochastic differential equations Brownian motion Brownian motion with drift Integral functionals 0-1-laws Continuous exponential local martingales Stochastic exponentials Martingale property of stochastic exponentials
Continuous strong Markov processes
Exact sciences and technology
Inference from stochastic processes; time series analysis
Integral functionals
Markov processes
Martingale property of stochastic exponentials
Mathematics
Probability and statistics
Probability theory and stochastic processes
Sciences and techniques of general use
Statistics
Stochastic analysis
Stochastic differential equations
Stochastic exponentials
Stochastic processes
Title On exponential local martingales associated with strong Markov continuous local martingales
URI https://dx.doi.org/10.1016/j.spa.2009.03.003
http://econpapers.repec.org/article/eeespapps/v_3a119_3ay_3a2009_3ai_3a9_3ap_3a2859-2880.htm
Volume 119
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