Scale Invariance and Stochastic Processes :
Fractals and SOC -
Percolation -
Stochastic Fields -
Random Walks
Random Walks Problems
Average Shape of the Excursion
Investigation of a wide range of
complex systems involve the measure of some scalar observable over
long time intervals, during which the signal exhibits nontrivial
fluctuations around some average value or avalanche-like bursts of
activity separated by quiescent intervals. The statistical features of
such fluctuations reflect the properties of the dynamics that
generates them, and represent a key point for understanding the system
under investigation. We focused on the average shape of a
fluctuation (that, for a time series x(t), is the average
value of x at time t between two
successive returns to a reference value, separated by a time interval
T), showing that it contains crucial pieces of information
about the nature of the underlying process.
In terms of the stochastic process this quantity is the average
excursion of a trajectory. For large classes of stochastic processes
we find that the average excursion scales as a power of the interval T, time a scaling function
f(t/T). The scaling function f(s) is to a large
extent independent of the details of the single increment
distribution, while it encodes relevant statistical information on the
presence and nature of temporal correlations in the process.
An example: Random Walk
References
- Average Shape of a Fluctuation: Universality in Excursions of Stochastic Processes Andrea Baldassarri, Francesca Colaiori, and Claudio Castellano, Phys. Rev. Lett. 90, 060601 (2003)
- Average trajectory of returning walks Francesca Colaiori, Andrea Baldassarri, and Claudio Castellano, Phys. Rev. E 69, 041105 (2004)