Fundamentals of stochastic nature sciences
This book addresses the processes of stochastic structure formation in two-dimensional geophysical fluid dynamics based on statistical analysis of Gaussian random fields, as well as stochastic structure formation in dynamic systems with parametric excitation of positive random fields f(r, t) describ...
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Main Author: | |
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Other Authors: | |
Format: | eBook |
Language: | English |
Published: |
Cham, Switzerland :
Springer,
2017.
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Series: | Understanding complex systems,
Springer complexity. |
Subjects: | |
ISBN: | 9783319569222 9783319569215 |
Physical Description: | 1 online resource (xii, 190 pages) : illustrations (some color) |
Summary: | This book addresses the processes of stochastic structure formation in two-dimensional geophysical fluid dynamics based on statistical analysis of Gaussian random fields, as well as stochastic structure formation in dynamic systems with parametric excitation of positive random fields f(r, t) described by partial differential equations. Further, the book considers two examples of stochastic structure formation in dynamic systems with parametric excitation in the presence of Gaussian pumping. In dynamic systems with parametric excitation in space and time, this type of structure formation either happens? or doesn?t! However, if it occurs in space, then this almost always happens (exponentially quickly) in individual realizations with a unit probability. In the case considered, clustering of the field f(r, t) of any nature is a general feature of dynamic fields, and one may claim that structure formation is the Law of Nature for arbitrary random fields of such type. The study clarifies the conditions under which such structure formation takes place. To make the content more accessible, these conditions are described at a comparatively elementary mathematical level by employing ideas from statistical topography. |
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Bibliography: | Includes bibliographical references. |
ISBN: | 9783319569222 9783319569215 |
ISSN: | 1860-0832 |
Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |