Fluctuations of non-ergodic stochastic processes
We investigate the standard deviation δ v ( Δ t ) of the variance v [ x ] of time series x measured over a finite sampling time Δ t focusing on non-ergodic systems where independent “configurations” c get trapped in meta-basins of a generalized phase space. It is thus relevant in which order average...
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Veröffentlicht in: | The European physical journal. E, Soft matter and biological physics Soft matter and biological physics, 2021, Vol.44 (4), p.54-54, Article 54 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
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Zusammenfassung: | We investigate the standard deviation
δ
v
(
Δ
t
)
of the variance
v
[
x
]
of time series
x
measured over a finite sampling time
Δ
t
focusing on non-ergodic systems where independent “configurations”
c
get trapped in meta-basins of a generalized phase space. It is thus relevant in which order averages over the configurations
c
and over time series
k
of a configuration
c
are performed. Three variances of
v
[
x
ck
]
must be distinguished: the total variance
δ
v
tot
2
=
δ
v
int
2
+
δ
v
ext
2
and its contributions
δ
v
int
2
, the typical internal variance within the meta-basins, and
δ
v
ext
2
, characterizing the dispersion between the different basins. We discuss simplifications for physical systems where the stochastic variable
x
(
t
) is due to a density field averaged over a large system volume
V
. The relations are illustrated for the shear-stress fluctuations in quenched elastic networks and low-temperature glasses formed by polydisperse particles and free-standing polymer films. The different statistics of
δ
v
int
and
δ
v
ext
are manifested by their different system-size dependences.
Graphic abstract |
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ISSN: | 1292-8941 1292-895X |
DOI: | 10.1140/epje/s10189-021-00070-5 |