54 research outputs found
On the excursions of drifted Brownian motion and the successive passage times of Brownian motion
By using the law of the excursions of Brownian motion with drift, we find the
distribution of the th passage time of Brownian motion through a straight
line In the special case when 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
For a time-homogeneous, one-dimensional diffusion process we
investigate the distribution of the first instant, after a given time at
which exceeds its maximum on the interval 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
For a given barrier and a one-dimensional jump-diffusion process
starting from we study the probability distribution of the integral
determined by till its
first-crossing time over In particular, we show that the
Laplace transform and the moments of are solutions to certain partial
differential-difference equations with outer conditions. The distribution of
the minimum of in is also studied. Thus, we extend the
results of a previous paper by the author, concerning the area swept out by
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
We study an inverse first-hitting problem for a one-dimensional,
time-homogeneous diffusion reflected between two boundaries and
which starts from a random position Let be a given
threshold, such that and an assigned distribution
function. The problem consists of finding the distribution of such that
the first-hitting time of to has distribution 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
It is considered the integrated process where
is a Gauss-Markov process starting from The first-passage time
(FPT) of through a constant boundary and the first-exit time of from an
interval are investigated, generalizing some results on FPT of
integrated Brownian motion. An essential role is played by a useful
representation of in terms of Brownian motion which allows to reduces the
FPT of 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
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
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) > t) as t -> +infinity, where tau(alpha)(S) = inf{t > 0 : X-alpha(t) >= S} is the first-passage time (FPT) of X-alpha(t) through the barrier S > 0. Precisely, we study the so-called persistent exponent theta = theta(alpha) of the FPT tail, such that P(tau(alpha)(S) > t) = t(-theta+o(1)), as t -> +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 <= theta(alpha) <= 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)<= s <= tX(alpha)(s) < 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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