Simple models for strictly non-ergodic stochastic processes of macroscopic systems
We investigate simple models for strictly non-ergodic stochastic processes x t ( t being the discrete time step) focusing on the expectation value v and the standard deviation δ v of the empirical variance v [ x ] of finite time series x . x t is averaged over a fluctuating field σ r ( r being the m...
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Veröffentlicht in: | The European physical journal. E, Soft matter and biological physics Soft matter and biological physics, 2021-10, Vol.44 (10), p.125-125, Article 125 |
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container_title | The European physical journal. E, Soft matter and biological physics |
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creator | George, G. Klochko, L. Semenov, A. N. Baschnagel, J. Wittmer, J. P. |
description | We investigate simple models for strictly non-ergodic stochastic processes
x
t
(
t
being the discrete time step) focusing on the expectation value
v
and the standard deviation
δ
v
of the empirical variance
v
[
x
]
of finite time series
x
.
x
t
is averaged over a fluctuating field
σ
r
(
r
being the microcell position) characterized by a quenched spatially correlated Gaussian field
g
r
. Due to the quenched
g
r
-field
δ
v
(
Δ
τ
)
becomes a finite constant,
Δ
ne
>
0
, for large sampling times
Δ
τ
. The volume dependence of the non-ergodicity parameter
Δ
ne
is investigated for different spatial correlations. Models with marginally long-ranged
g
r
-correlations are successfully mapped on shear stress data from simulated amorphous glasses of polydisperse beads. |
doi_str_mv | 10.1140/epje/s10189-021-00129-3 |
format | Article |
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x
t
(
t
being the discrete time step) focusing on the expectation value
v
and the standard deviation
δ
v
of the empirical variance
v
[
x
]
of finite time series
x
.
x
t
is averaged over a fluctuating field
σ
r
(
r
being the microcell position) characterized by a quenched spatially correlated Gaussian field
g
r
. Due to the quenched
g
r
-field
δ
v
(
Δ
τ
)
becomes a finite constant,
Δ
ne
>
0
, for large sampling times
Δ
τ
. The volume dependence of the non-ergodicity parameter
Δ
ne
is investigated for different spatial correlations. Models with marginally long-ranged
g
r
-correlations are successfully mapped on shear stress data from simulated amorphous glasses of polydisperse beads.</description><identifier>ISSN: 1292-8941</identifier><identifier>EISSN: 1292-895X</identifier><identifier>DOI: 10.1140/epje/s10189-021-00129-3</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Beads ; Biological and Medical Physics ; Biophysics ; Complex Fluids and Microfluidics ; Complex Systems ; Condensed matter physics ; Correlation ; Ergodic processes ; Nanotechnology ; Physics ; Physics and Astronomy ; Polymer Sciences ; Quenching ; Regular Article – Flowing Matter ; Series (mathematics) ; Shear stress ; Soft and Granular Matter ; Stochastic models ; Stochastic processes ; Surfaces and Interfaces ; Thin Films</subject><ispartof>The European physical journal. E, Soft matter and biological physics, 2021-10, Vol.44 (10), p.125-125, Article 125</ispartof><rights>The Author(s), under exclusive licence to EDP Sciences, SIF and Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to EDP Sciences, SIF and Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c396t-fcffc71f5b7bc365f9684fa145ac35f56271f4e957f99098b0ae5b8024fefbdf3</cites><orcidid>0000-0002-3201-2554 ; 0000-0001-5830-9957 ; 0000-0003-2468-8738 ; 0000-0003-2678-3464</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1140/epje/s10189-021-00129-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1140/epje/s10189-021-00129-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://hal.science/hal-03786931$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>George, G.</creatorcontrib><creatorcontrib>Klochko, L.</creatorcontrib><creatorcontrib>Semenov, A. N.</creatorcontrib><creatorcontrib>Baschnagel, J.</creatorcontrib><creatorcontrib>Wittmer, J. P.</creatorcontrib><title>Simple models for strictly non-ergodic stochastic processes of macroscopic systems</title><title>The European physical journal. E, Soft matter and biological physics</title><addtitle>Eur. Phys. J. E</addtitle><description>We investigate simple models for strictly non-ergodic stochastic processes
x
t
(
t
being the discrete time step) focusing on the expectation value
v
and the standard deviation
δ
v
of the empirical variance
v
[
x
]
of finite time series
x
.
x
t
is averaged over a fluctuating field
σ
r
(
r
being the microcell position) characterized by a quenched spatially correlated Gaussian field
g
r
. Due to the quenched
g
r
-field
δ
v
(
Δ
τ
)
becomes a finite constant,
Δ
ne
>
0
, for large sampling times
Δ
τ
. The volume dependence of the non-ergodicity parameter
Δ
ne
is investigated for different spatial correlations. Models with marginally long-ranged
g
r
-correlations are successfully mapped on shear stress data from simulated amorphous glasses of polydisperse beads.</description><subject>Beads</subject><subject>Biological and Medical Physics</subject><subject>Biophysics</subject><subject>Complex Fluids and Microfluidics</subject><subject>Complex Systems</subject><subject>Condensed matter physics</subject><subject>Correlation</subject><subject>Ergodic processes</subject><subject>Nanotechnology</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Polymer Sciences</subject><subject>Quenching</subject><subject>Regular Article – Flowing Matter</subject><subject>Series (mathematics)</subject><subject>Shear stress</subject><subject>Soft and Granular Matter</subject><subject>Stochastic models</subject><subject>Stochastic processes</subject><subject>Surfaces and Interfaces</subject><subject>Thin Films</subject><issn>1292-8941</issn><issn>1292-895X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkU1LxDAQhosoqKu_wYIXPVTz0bTJUURdYUHwA7yFNDtZu7RNzXSF_femVhS8eJph5nmHd3iT5ISSC0pzcgn9Gi6REipVRhjNCKFMZXwnOYiVZVKJ192fPqf7ySHimkQqJ_wgeXyq276BtPVLaDB1PqQ4hNoOzTbtfJdBWPllbePQ2zeDQ2z74C0gAqbepa2xwaP1_chscYAWj5I9ZxqE4-86S15ub56v59ni4e7--mqRWa6KIXPWOVtSJ6qysrwQThUyd4bmwlgunChYXOagROmUIkpWxICoJGG5A1ctHZ8l59PdN9PoPtStCVvtTa3nVws9zggvZaE4_aCRPZvYaP59AzjotkYLTWM68BvUTEiiOJP5iJ7-Qdd-E7r4yURJVhIWqXKixvcxgPtxQIkec9FjLnrKRcdc9FcumkelnJQYFd0Kwu_9_6SfUoOU2g</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>George, G.</creator><creator>Klochko, L.</creator><creator>Semenov, A. N.</creator><creator>Baschnagel, J.</creator><creator>Wittmer, J. P.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>EDP Sciences: EPJ</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-3201-2554</orcidid><orcidid>https://orcid.org/0000-0001-5830-9957</orcidid><orcidid>https://orcid.org/0000-0003-2468-8738</orcidid><orcidid>https://orcid.org/0000-0003-2678-3464</orcidid></search><sort><creationdate>20211001</creationdate><title>Simple models for strictly non-ergodic stochastic processes of macroscopic systems</title><author>George, G. ; Klochko, L. ; Semenov, A. N. ; Baschnagel, J. ; Wittmer, J. P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-fcffc71f5b7bc365f9684fa145ac35f56271f4e957f99098b0ae5b8024fefbdf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Beads</topic><topic>Biological and Medical Physics</topic><topic>Biophysics</topic><topic>Complex Fluids and Microfluidics</topic><topic>Complex Systems</topic><topic>Condensed matter physics</topic><topic>Correlation</topic><topic>Ergodic processes</topic><topic>Nanotechnology</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Polymer Sciences</topic><topic>Quenching</topic><topic>Regular Article – Flowing Matter</topic><topic>Series (mathematics)</topic><topic>Shear stress</topic><topic>Soft and Granular Matter</topic><topic>Stochastic models</topic><topic>Stochastic processes</topic><topic>Surfaces and Interfaces</topic><topic>Thin Films</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>George, G.</creatorcontrib><creatorcontrib>Klochko, L.</creatorcontrib><creatorcontrib>Semenov, A. N.</creatorcontrib><creatorcontrib>Baschnagel, J.</creatorcontrib><creatorcontrib>Wittmer, J. P.</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>The European physical journal. E, Soft matter and biological physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>George, G.</au><au>Klochko, L.</au><au>Semenov, A. N.</au><au>Baschnagel, J.</au><au>Wittmer, J. P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simple models for strictly non-ergodic stochastic processes of macroscopic systems</atitle><jtitle>The European physical journal. E, Soft matter and biological physics</jtitle><stitle>Eur. Phys. J. E</stitle><date>2021-10-01</date><risdate>2021</risdate><volume>44</volume><issue>10</issue><spage>125</spage><epage>125</epage><pages>125-125</pages><artnum>125</artnum><issn>1292-8941</issn><eissn>1292-895X</eissn><abstract>We investigate simple models for strictly non-ergodic stochastic processes
x
t
(
t
being the discrete time step) focusing on the expectation value
v
and the standard deviation
δ
v
of the empirical variance
v
[
x
]
of finite time series
x
.
x
t
is averaged over a fluctuating field
σ
r
(
r
being the microcell position) characterized by a quenched spatially correlated Gaussian field
g
r
. Due to the quenched
g
r
-field
δ
v
(
Δ
τ
)
becomes a finite constant,
Δ
ne
>
0
, for large sampling times
Δ
τ
. The volume dependence of the non-ergodicity parameter
Δ
ne
is investigated for different spatial correlations. Models with marginally long-ranged
g
r
-correlations are successfully mapped on shear stress data from simulated amorphous glasses of polydisperse beads.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1140/epje/s10189-021-00129-3</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-3201-2554</orcidid><orcidid>https://orcid.org/0000-0001-5830-9957</orcidid><orcidid>https://orcid.org/0000-0003-2468-8738</orcidid><orcidid>https://orcid.org/0000-0003-2678-3464</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Beads Biological and Medical Physics Biophysics Complex Fluids and Microfluidics Complex Systems Condensed matter physics Correlation Ergodic processes Nanotechnology Physics Physics and Astronomy Polymer Sciences Quenching Regular Article – Flowing Matter Series (mathematics) Shear stress Soft and Granular Matter Stochastic models Stochastic processes Surfaces and Interfaces Thin Films |
title | Simple models for strictly non-ergodic stochastic processes of macroscopic systems |
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