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Self-avoiding random walk: A Brownian motion model with local time drift
Authors:J R Norris  L C G Rogers  David Williams
Institution:(1) Statistical Laboratory, 16 Mill Lane, CB2 1SB Cambridge, Great Britain
Abstract:Summary A natural model for a lsquoself-avoidingrsquo Brownian motion inR d, when specialised and simplified tod=1, becomes the stochastic differential equation 
$$X_t  = B_t  - \int\limits_0^t g (X_s ,L(s,X_s ))ds$$
, where {L(t, x):tgE0,xisinR} is the local time process ofX. ThoughX is not Markovian, an analogue of the Ray-Knight theorem holds for {L(infin,x):xisinR}, which allows one to prove in many cases of interest that 
$$\mathop {\lim }\limits_{t \to \infty } X_t /t$$
exists almost surely, and to identify the limit.
Keywords:
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