15,251 research outputs found
The quantile transform of a simple walk
We examine a new path transform on 1-dimensional simple random walks and
Brownian motion, the quantile transform. This transformation relates to
identities in fluctuation theory due to Wendel, Port, Dassios and others, and
to discrete and Brownian versions of Tanaka's formula. For an n-step random
walk, the quantile transform reorders increments according to the value of the
walk at the start of each increment. We describe the distribution of the
quantile transform of a simple random walk of n steps, using a bijection to
characterize the number of pre-images of each possible transformed path. We
deduce, both for simple random walks and for Brownian motion, that the quantile
transform has the same distribution as Vervaat's transform. For Brownian
motion, the quantile transforms of the embedded simple random walks converge to
a time change of the local time profile. We characterize the distribution of
the local time profile, giving rise to an identity that generalizes a variant
of Jeulin's description of the local time profile of a Brownian bridge or
excursion.Comment: 46 pages, 20 figure
Locally Perturbed Random Walks with Unbounded Jumps
In \cite{SzT}, D. Sz\'asz and A. Telcs have shown that for the diffusively
scaled, simple symmetric random walk, weak convergence to the Brownian motion
holds even in the case of local impurities if . The extension of their
result to finite range random walks is straightforward. Here, however, we are
interested in the situation when the random walk has unbounded range.
Concretely we generalize the statement of \cite{SzT} to unbounded random walks
whose jump distribution belongs to the domain of attraction of the normal law.
We do this first: for diffusively scaled random walks on having finite variance; and second: for random walks with distribution
belonging to the non-normal domain of attraction of the normal law. This result
can be applied to random walks with tail behavior analogous to that of the
infinite horizon Lorentz-process; these, in particular, have infinite variance,
and convergence to Brownian motion holds with the superdiffusive scaling.Comment: 16 page
Strong approximation of fractional Brownian motion by moving averages of simple random walks
The fractional Brownian motion is a generalization of ordinary Brownian
motion, used particularly when long-range dependence is required. Its explicit
introduction is due to B.B. Mandelbrot and J.W. van Ness (1968) as a
self-similar Gaussian process \WH (t) with stationary increments. Here
self-similarity means that (a^{-H}\WH(at): t \ge 0) \stackrel{d}{=} (\WH(t): t
\ge 0), where is the Hurst parameter of fractional Brownian
motion.
F.B. Knight gave a construction of ordinary Brownian motion as a limit of
simple random walks in 1961. Later his method was simplified by P. R\'ev\'esz
(1990) and then by the present author (1996). This approach is quite natural
and elementary, and as such, can be extended to more general situations. Based
on this, here we use moving averages of a suitable nested sequence of simple
random walks that almost surely uniformly converge to fractional Brownian
motion on compacts when H \in (\quart , 1). The rate of convergence proved in
this case is O(N^{-\min(H-\quart,\quart)}\log N), where is the number of
steps used for the approximation.
If the more accurate (but also more intricate) Koml\'os, Major, Tusn\'ady
(1975, 1976) approximation is used instead to embed random walks into ordinary
Brownian motion, then the same type of moving averages almost surely uniformly
converge to fractional Brownian motion on compacts for any .
Moreover, the convergence rate is conjectured to be the best possible
, though only O(N^{-\min(H,\half)}\log N) is proved here.Comment: 30 pages, 4 figure
Anomalous versus slowed-down Brownian diffusion in the ligand-binding equilibrium
Measurements of protein motion in living cells and membranes consistently
report transient anomalous diffusion (subdiffusion) which converges back to a
Brownian motion with reduced diffusion coefficient at long times, after the
anomalous diffusion regime. Therefore, slowed-down Brownian motion could be
considered the macroscopic limit of transient anomalous diffusion. On the other
hand, membranes are also heterogeneous media in which Brownian motion may be
locally slowed-down due to variations in lipid composition. Here, we
investigate whether both situations lead to a similar behavior for the
reversible ligand-binding reaction in 2d. We compare the (long-time)
equilibrium properties obtained with transient anomalous diffusion due to
obstacle hindrance or power-law distributed residence times (continuous-time
random walks) to those obtained with space-dependent slowed-down Brownian
motion. Using theoretical arguments and Monte-Carlo simulations, we show that
those three scenarios have distinctive effects on the apparent affinity of the
reaction. While continuous-time random walks decrease the apparent affinity of
the reaction, locally slowed-down Brownian motion and local hinderance by
obstacles both improve it. However, only in the case of slowed-down Brownian
motion, the affinity is maximal when the slowdown is restricted to a subregion
of the available space. Hence, even at long times (equilibrium), these
processes are different and exhibit irreconcilable behaviors when the area
fraction of reduced mobility changes.Comment: Biophysical Journal (2013
Quantum random walks and minors of Hermitian Brownian motion
Considering quantum random walks, we construct discrete-time approximations
of the eigenvalues processes of minors of Hermitian Brownian motion. It has
been recently proved by Adler, Nordenstam and van Moerbeke that the process of
eigenvalues of two consecutive minors of an Hermitian Brownian motion is a
Markov process, whereas if one considers more than two consecutive minors, the
Markov property fails. We show that there are analog results in the
noncommutative counterpart and establish the Markov property of eigenvalues of
some particular submatrices of Hermitian Brownian motion
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