1990
DOI: 10.1016/0022-247x(90)90389-w
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Large deviations results for the exit problem with characteristic boundary

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Cited by 29 publications
(34 citation statements)
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“…We restrict ourselves to the case that h 0 lies between H| sk and H| sd . Theorem 3.1 shows that, for κ = 1 the distribution of H ε converges to that of H 0 given by the stochastic differential equation (SDE) (29), and for κ > 1 the distribution converges to that of the deterministic equation d dt H 0 t = B(H 0 t ). For small ε the distribution of H 0 can be used to approximate the dynamics of H ε .…”
Section: 3mentioning
confidence: 99%
“…We restrict ourselves to the case that h 0 lies between H| sk and H| sd . Theorem 3.1 shows that, for κ = 1 the distribution of H ε converges to that of H 0 given by the stochastic differential equation (SDE) (29), and for κ > 1 the distribution converges to that of the deterministic equation d dt H 0 t = B(H 0 t ). For small ε the distribution of H 0 can be used to approximate the dynamics of H ε .…”
Section: 3mentioning
confidence: 99%
“…We did not discuss the distribution of time intervals between spikes, for the reason that not much is known about it. Unlike the case of exit from a potential well, we have to deal here with the problem of noise-induced escape through a characteristic boundary (Day, 1990a;Day, 1992), which does not necessarily follow an exponential law. If for instance the boundary is a periodic orbit, cycling occurs and the exit location depends logarithmically on the noise intensity (Day, 1990b;Day, 1994;Day, 1996;Berglund and Gentz, 2004).…”
Section: Excitability Of Type IImentioning
confidence: 99%
“…In other words, the aim is to study the probability that a trajectory of Z N exits O in the neighborhood of a point y ∈ ∂O, P(|Z N,z (τ N O ) − y| < δ) for large N. Here τ N,z O denotes the first time of exit of the process Z N,z (t) from O. We adopt the approach of Day [2]. First we define a reflected Poissonian SDE for which the large deviation principle is satisfied, with the same rate function as the original one defined by (1).…”
Section: Introductionmentioning
confidence: 99%
“…First we define a reflected Poissonian SDE for which the large deviation principle is satisfied, with the same rate function as the original one defined by (1). We then follow the arguments of Day [2] to obtain our results.…”
Section: Introductionmentioning
confidence: 99%
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