Ensemble fluctuations matter for variances of macroscopic variables
Extending recent work on stress fluctuations in complex fluids and amorphous solids we describe in general terms the ensemble average v ( Δ t ) and the standard deviation δ v ( Δ t ) of the variance v [ x ] of time series x of a stochastic process x ( t ) measured over a finite sampling time Δ t . A...
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Veröffentlicht in: | The European physical journal. E, Soft matter and biological physics Soft matter and biological physics, 2021-03, Vol.44 (2), p.13-13, Article 13 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
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Zusammenfassung: | Extending recent work on stress fluctuations in complex fluids and amorphous solids we describe in general terms the ensemble average
v
(
Δ
t
)
and the standard deviation
δ
v
(
Δ
t
)
of the variance
v
[
x
]
of time series
x
of a stochastic process
x
(
t
) measured over a finite sampling time
Δ
t
. Assuming a stationary, Gaussian and ergodic process,
δ
v
is given by a functional
δ
v
G
[
h
]
of the autocorrelation function
h
(
t
).
δ
v
(
Δ
t
)
is shown to become large and similar to
v
(
Δ
t
)
if
Δ
t
corresponds to a fast relaxation process. Albeit
δ
v
=
δ
v
G
[
h
]
does not hold in general for non-ergodic systems, the deviations for common systems with many microstates are merely finite-size corrections. Various issues are illustrated for shear-stress fluctuations in simple coarse-grained model systems.
Graphic abstract |
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ISSN: | 1292-8941 1292-895X |
DOI: | 10.1140/epje/s10189-020-00004-7 |