Random Perturbations of Dynamical Systems:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Birkhäuser Boston
1988
|
Schriftenreihe: | Progress in Probability and Statistics
16 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Mathematicians often face the question to which extent mathematical models describe processes of the real world. These models are derived from experimental data, hence they describe real phenomena only approximately. Thus a mathematical approach must begin with choosing properties which are not very sensitive to small changes in the model, and so may be viewed as properties of the real process. In particular, this concerns real processes which can be described by means of ordinary differential equations. By this reason different notions of stability played an important role in the qualitative theory of ordinary differential equations commonly known nowdays as the theory of dynamical systems. Since physical processes are usually affected by an enormous number of small external fluctuations whose resulting action would be natural to consider as random, the stability of dynamical systems with respect to random perturbations comes into the picture. There are differences between the study of stability properties of single trajectories, i. e. , the Lyapunov stability, and the global stability of dynamical systems. The stochastic Lyapunov stability was dealt with in Hasminskii [Has]. In this book we are concerned mainly with questions of global stability in the presence of noise which can be described as recovering parameters of dynamical systems from the study of their random perturbations. The parameters which is possible to obtain in this way can be considered as stable under random perturbations, and so having physical sense. -1- Our set up is the following |
Beschreibung: | 1 Online-Ressource (VIII, 294p) |
ISBN: | 9781461581819 9781461581833 |
DOI: | 10.1007/978-1-4615-8181-9 |
Internformat
MARC
LEADER | 00000nmm a2200000zcb4500 | ||
---|---|---|---|
001 | BV042420960 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 150317s1988 |||| o||u| ||||||eng d | ||
020 | |a 9781461581819 |c Online |9 978-1-4615-8181-9 | ||
020 | |a 9781461581833 |c Print |9 978-1-4615-8183-3 | ||
024 | 7 | |a 10.1007/978-1-4615-8181-9 |2 doi | |
035 | |a (OCoLC)864035011 | ||
035 | |a (DE-599)BVBBV042420960 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-384 |a DE-703 |a DE-91 |a DE-634 | ||
082 | 0 | |a 519.2 |2 23 | |
084 | |a MAT 000 |2 stub | ||
100 | 1 | |a Kifer, Yuri |e Verfasser |4 aut | |
245 | 1 | 0 | |a Random Perturbations of Dynamical Systems |c by Yuri Kifer |
264 | 1 | |a Boston, MA |b Birkhäuser Boston |c 1988 | |
300 | |a 1 Online-Ressource (VIII, 294p) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Progress in Probability and Statistics |v 16 | |
500 | |a Mathematicians often face the question to which extent mathematical models describe processes of the real world. These models are derived from experimental data, hence they describe real phenomena only approximately. Thus a mathematical approach must begin with choosing properties which are not very sensitive to small changes in the model, and so may be viewed as properties of the real process. In particular, this concerns real processes which can be described by means of ordinary differential equations. By this reason different notions of stability played an important role in the qualitative theory of ordinary differential equations commonly known nowdays as the theory of dynamical systems. Since physical processes are usually affected by an enormous number of small external fluctuations whose resulting action would be natural to consider as random, the stability of dynamical systems with respect to random perturbations comes into the picture. There are differences between the study of stability properties of single trajectories, i. e. , the Lyapunov stability, and the global stability of dynamical systems. The stochastic Lyapunov stability was dealt with in Hasminskii [Has]. In this book we are concerned mainly with questions of global stability in the presence of noise which can be described as recovering parameters of dynamical systems from the study of their random perturbations. The parameters which is possible to obtain in this way can be considered as stable under random perturbations, and so having physical sense. -1- Our set up is the following | ||
650 | 4 | |a Mathematics | |
650 | 4 | |a Differentiable dynamical systems | |
650 | 4 | |a Differential equations, partial | |
650 | 4 | |a Distribution (Probability theory) | |
650 | 4 | |a Mathematical physics | |
650 | 4 | |a Probability Theory and Stochastic Processes | |
650 | 4 | |a Mathematical Methods in Physics | |
650 | 4 | |a Dynamical Systems and Ergodic Theory | |
650 | 4 | |a Statistical Physics, Dynamical Systems and Complexity | |
650 | 4 | |a Classical Continuum Physics | |
650 | 4 | |a Partial Differential Equations | |
650 | 4 | |a Mathematik | |
650 | 4 | |a Mathematische Physik | |
650 | 0 | 7 | |a Störungstheorie |0 (DE-588)4128420-3 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Dynamisches System |0 (DE-588)4013396-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Stochastischer Prozess |0 (DE-588)4057630-9 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Stochastischer Prozess |0 (DE-588)4057630-9 |D s |
689 | 0 | 1 | |a Dynamisches System |0 (DE-588)4013396-5 |D s |
689 | 0 | |8 1\p |5 DE-604 | |
689 | 1 | 0 | |a Dynamisches System |0 (DE-588)4013396-5 |D s |
689 | 1 | 1 | |a Störungstheorie |0 (DE-588)4128420-3 |D s |
689 | 1 | |8 2\p |5 DE-604 | |
856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4615-8181-9 |x Verlag |3 Volltext |
912 | |a ZDB-2-SMA |a ZDB-2-BAE | ||
940 | 1 | |q ZDB-2-SMA_Archive | |
999 | |a oai:aleph.bib-bvb.de:BVB01-027856377 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk |
Datensatz im Suchindex
_version_ | 1804153093503320064 |
---|---|
any_adam_object | |
author | Kifer, Yuri |
author_facet | Kifer, Yuri |
author_role | aut |
author_sort | Kifer, Yuri |
author_variant | y k yk |
building | Verbundindex |
bvnumber | BV042420960 |
classification_tum | MAT 000 |
collection | ZDB-2-SMA ZDB-2-BAE |
ctrlnum | (OCoLC)864035011 (DE-599)BVBBV042420960 |
dewey-full | 519.2 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.2 |
dewey-search | 519.2 |
dewey-sort | 3519.2 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.1007/978-1-4615-8181-9 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03996nmm a2200649zcb4500</leader><controlfield tag="001">BV042420960</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150317s1988 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781461581819</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4615-8181-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781461581833</subfield><subfield code="c">Print</subfield><subfield code="9">978-1-4615-8183-3</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4615-8181-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)864035011</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042420960</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.2</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kifer, Yuri</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Random Perturbations of Dynamical Systems</subfield><subfield code="c">by Yuri Kifer</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boston, MA</subfield><subfield code="b">Birkhäuser Boston</subfield><subfield code="c">1988</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (VIII, 294p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Progress in Probability and Statistics</subfield><subfield code="v">16</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Mathematicians often face the question to which extent mathematical models describe processes of the real world. These models are derived from experimental data, hence they describe real phenomena only approximately. Thus a mathematical approach must begin with choosing properties which are not very sensitive to small changes in the model, and so may be viewed as properties of the real process. In particular, this concerns real processes which can be described by means of ordinary differential equations. By this reason different notions of stability played an important role in the qualitative theory of ordinary differential equations commonly known nowdays as the theory of dynamical systems. Since physical processes are usually affected by an enormous number of small external fluctuations whose resulting action would be natural to consider as random, the stability of dynamical systems with respect to random perturbations comes into the picture. There are differences between the study of stability properties of single trajectories, i. e. , the Lyapunov stability, and the global stability of dynamical systems. The stochastic Lyapunov stability was dealt with in Hasminskii [Has]. In this book we are concerned mainly with questions of global stability in the presence of noise which can be described as recovering parameters of dynamical systems from the study of their random perturbations. The parameters which is possible to obtain in this way can be considered as stable under random perturbations, and so having physical sense. -1- Our set up is the following</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Differentiable dynamical systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Differential equations, partial</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Distribution (Probability theory)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Probability Theory and Stochastic Processes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical Methods in Physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dynamical Systems and Ergodic Theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical Physics, Dynamical Systems and Complexity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Classical Continuum Physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Partial Differential Equations</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematik</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematische Physik</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Störungstheorie</subfield><subfield code="0">(DE-588)4128420-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Dynamisches System</subfield><subfield code="0">(DE-588)4013396-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Stochastischer Prozess</subfield><subfield code="0">(DE-588)4057630-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Stochastischer Prozess</subfield><subfield code="0">(DE-588)4057630-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Dynamisches System</subfield><subfield code="0">(DE-588)4013396-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Dynamisches System</subfield><subfield code="0">(DE-588)4013396-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Störungstheorie</subfield><subfield code="0">(DE-588)4128420-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4615-8181-9</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SMA</subfield><subfield code="a">ZDB-2-BAE</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SMA_Archive</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027856377</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield></record></collection> |
id | DE-604.BV042420960 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:21:08Z |
institution | BVB |
isbn | 9781461581819 9781461581833 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027856377 |
oclc_num | 864035011 |
open_access_boolean | |
owner | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
owner_facet | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
physical | 1 Online-Ressource (VIII, 294p) |
psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
publishDate | 1988 |
publishDateSearch | 1988 |
publishDateSort | 1988 |
publisher | Birkhäuser Boston |
record_format | marc |
series2 | Progress in Probability and Statistics |
spelling | Kifer, Yuri Verfasser aut Random Perturbations of Dynamical Systems by Yuri Kifer Boston, MA Birkhäuser Boston 1988 1 Online-Ressource (VIII, 294p) txt rdacontent c rdamedia cr rdacarrier Progress in Probability and Statistics 16 Mathematicians often face the question to which extent mathematical models describe processes of the real world. These models are derived from experimental data, hence they describe real phenomena only approximately. Thus a mathematical approach must begin with choosing properties which are not very sensitive to small changes in the model, and so may be viewed as properties of the real process. In particular, this concerns real processes which can be described by means of ordinary differential equations. By this reason different notions of stability played an important role in the qualitative theory of ordinary differential equations commonly known nowdays as the theory of dynamical systems. Since physical processes are usually affected by an enormous number of small external fluctuations whose resulting action would be natural to consider as random, the stability of dynamical systems with respect to random perturbations comes into the picture. There are differences between the study of stability properties of single trajectories, i. e. , the Lyapunov stability, and the global stability of dynamical systems. The stochastic Lyapunov stability was dealt with in Hasminskii [Has]. In this book we are concerned mainly with questions of global stability in the presence of noise which can be described as recovering parameters of dynamical systems from the study of their random perturbations. The parameters which is possible to obtain in this way can be considered as stable under random perturbations, and so having physical sense. -1- Our set up is the following Mathematics Differentiable dynamical systems Differential equations, partial Distribution (Probability theory) Mathematical physics Probability Theory and Stochastic Processes Mathematical Methods in Physics Dynamical Systems and Ergodic Theory Statistical Physics, Dynamical Systems and Complexity Classical Continuum Physics Partial Differential Equations Mathematik Mathematische Physik Störungstheorie (DE-588)4128420-3 gnd rswk-swf Dynamisches System (DE-588)4013396-5 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 s Dynamisches System (DE-588)4013396-5 s 1\p DE-604 Störungstheorie (DE-588)4128420-3 s 2\p DE-604 https://doi.org/10.1007/978-1-4615-8181-9 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Kifer, Yuri Random Perturbations of Dynamical Systems Mathematics Differentiable dynamical systems Differential equations, partial Distribution (Probability theory) Mathematical physics Probability Theory and Stochastic Processes Mathematical Methods in Physics Dynamical Systems and Ergodic Theory Statistical Physics, Dynamical Systems and Complexity Classical Continuum Physics Partial Differential Equations Mathematik Mathematische Physik Störungstheorie (DE-588)4128420-3 gnd Dynamisches System (DE-588)4013396-5 gnd Stochastischer Prozess (DE-588)4057630-9 gnd |
subject_GND | (DE-588)4128420-3 (DE-588)4013396-5 (DE-588)4057630-9 |
title | Random Perturbations of Dynamical Systems |
title_auth | Random Perturbations of Dynamical Systems |
title_exact_search | Random Perturbations of Dynamical Systems |
title_full | Random Perturbations of Dynamical Systems by Yuri Kifer |
title_fullStr | Random Perturbations of Dynamical Systems by Yuri Kifer |
title_full_unstemmed | Random Perturbations of Dynamical Systems by Yuri Kifer |
title_short | Random Perturbations of Dynamical Systems |
title_sort | random perturbations of dynamical systems |
topic | Mathematics Differentiable dynamical systems Differential equations, partial Distribution (Probability theory) Mathematical physics Probability Theory and Stochastic Processes Mathematical Methods in Physics Dynamical Systems and Ergodic Theory Statistical Physics, Dynamical Systems and Complexity Classical Continuum Physics Partial Differential Equations Mathematik Mathematische Physik Störungstheorie (DE-588)4128420-3 gnd Dynamisches System (DE-588)4013396-5 gnd Stochastischer Prozess (DE-588)4057630-9 gnd |
topic_facet | Mathematics Differentiable dynamical systems Differential equations, partial Distribution (Probability theory) Mathematical physics Probability Theory and Stochastic Processes Mathematical Methods in Physics Dynamical Systems and Ergodic Theory Statistical Physics, Dynamical Systems and Complexity Classical Continuum Physics Partial Differential Equations Mathematik Mathematische Physik Störungstheorie Dynamisches System Stochastischer Prozess |
url | https://doi.org/10.1007/978-1-4615-8181-9 |
work_keys_str_mv | AT kiferyuri randomperturbationsofdynamicalsystems |