54 research outputs found

    On the excursions of drifted Brownian motion and the successive passage times of Brownian motion

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    By using the law of the excursions of Brownian motion with drift, we find the distribution of the n−n-th passage time of Brownian motion through a straight line S(t)=a+bt.S(t)= a + bt. In the special case when b=0,b = 0, we extend the result to a space-time transformation of Brownian motion.Comment: 4 figures, accepted for publication in Physica

    The arctangent law for a certain random time related to a one-dimensional diffusion

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    For a time-homogeneous, one-dimensional diffusion process X(t),X(t), we investigate the distribution of the first instant, after a given time r,r, at which X(t)X(t) exceeds its maximum on the interval [0,r],[0,r], generalizing a result of Papanicolaou, which is valid for Brownian motion

    The first-crossing area of a diffusion process with jumps over a constant barrier

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    For a given barrier SS and a one-dimensional jump-diffusion process X(t),X(t), starting from x<S,x<S, we study the probability distribution of the integral AS(x)=∫0τS(x)X(t) dtA_S(x)= \int_0 ^ {\tau_S(x)}X(t) \ dt determined by X(t)X(t) till its first-crossing time τS(x)\tau_S(x) over S.S. In particular, we show that the Laplace transform and the moments of AS(x)A_S(x) are solutions to certain partial differential-difference equations with outer conditions. The distribution of the minimum of X(t)X(t) in [0,τS(x)][0, \tau_S(x)] is also studied. Thus, we extend the results of a previous paper by the author, concerning the area swept out by X(t)X(t) till its first-passage below zero. Some explicit examples are reported, regarding diffusions with and without jumps

    One-dimensional reflected diffusions with two boundaries and an inverse first-hitting problem

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    We study an inverse first-hitting problem for a one-dimensional, time-homogeneous diffusion X(t)X(t) reflected between two boundaries aa and b,b, which starts from a random position η.\eta. Let a≤S≤ba \le S \le b be a given threshold, such that P(η∈[a,S])=1,P( \eta \in [a,S])=1, and FF an assigned distribution function. The problem consists of finding the distribution of η\eta such that the first-hitting time of XX to SS has distribution F.F. This is a generalization of the analogous problem for ordinary diffusions, i.e. without reflecting, previously considered by the author

    On the first-passage time of an integrated Gauss-Markov process

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    It is considered the integrated process X(t)=x+∫0tY(s)ds,X(t)= x + \int _0^t Y(s) ds , where Y(t)Y(t) is a Gauss-Markov process starting from y.y. The first-passage time (FPT) of XX through a constant boundary and the first-exit time of XX from an interval (a,b)(a,b) are investigated, generalizing some results on FPT of integrated Brownian motion. An essential role is played by a useful representation of X,X, in terms of Brownian motion which allows to reduces the FPT of XX to that of a time-changed Brownian motion. Some explicit examples are reported; when theoretical calculation is not available, the quantities of interest are estimated by numerical computation.Comment: 4 figure

    Some examples of solutions to an inverse problem for the first-passage place of a jump-diffusion process

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    We report some additional examples of explicit solutions to an inverse first-passage place problem for one-dimensional diffusions with jumps, introduced in a previous paper. If X(t) is a one-dimensional diffusion with jumps, starting from a random position η ∈ [a, b], let be τa,b the time at which X(t) first exits the interval (a, b), and πa = P(X(τa,b) ≤ a) the probability of exit from the left of (a, b). Given a probability q ∈ (0, 1), the problem consists in finding the density g of η (if it exists) such that πa = q; it can be seen as a problem of optimization

    On the estimation of the persistence exponent for a fractionally integrated brownian motion by numerical simulations

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    For a fractionally integrated Brownian motion (FIBM) of order alpha is an element of (0, 1], X-alpha(t), we investigate the decaying rate of P(tau(alpha)(S) &gt; t) as t -&gt; +infinity, where tau(alpha)(S) = inf{t &gt; 0 : X-alpha(t) &gt;= S} is the first-passage time (FPT) of X-alpha(t) through the barrier S &gt; 0. Precisely, we study the so-called persistent exponent theta = theta(alpha) of the FPT tail, such that P(tau(alpha)(S) &gt; t) = t(-theta+o(1)), as t -&gt; +infinity, and by means of numerical simulation of long enough trajectories of the process X-alpha(t), we are able to estimate theta(alpha) and to show that it is a non-increasing function of alpha is an element of (0, 1], with 1/4 &lt;= theta(alpha) &lt;= 1/2. In particular, we are able to validate numerically a new conjecture about the analytical expression of the function theta = theta(alpha), for alpha is an element of (0, 1]. Such a numerical validation is carried out in two ways: in the first one, we estimate theta(alpha), by using the simulated FPT density, obtained for any alpha is an element of (0, 1]; in the second one, we estimate the persistent exponent by directly calculating P(max(0)&lt;= s &lt;= tX(alpha)(s) &lt; 1). Both ways confirm our conclusions within the limit of numerical approximation. Finally, we investigate the self-similarity property of X-alpha(t) and we find the upper bound of its covariance function
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