Details
Original language | English |
---|---|
Pages (from-to) | 169-186 |
Number of pages | 18 |
Journal | Visual Computer |
Volume | 31 |
Issue number | 2 |
Early online date | 4 Nov 2014 |
Publication status | Published - Feb 2015 |
Abstract
In this work we present computational methods for examining dynamical systems. We focus on those systems being characterized by slow–fast vector fields or corresponding differential algebraic equations that commonly occur in physical applications. In the latter ones scientists usually consider a manifold of admissible physical states and a vector field describing the time evolution of the physical system. The manifold is typically implicitly defined within a higher-dimensional space by a system of equations. Certain physical systems, such as relaxation oscillators, perform sudden jumps in their state evolution when they are forced into an unstable state. The main contribution of the present work is to model the dynamical evolution incorporating the jumping behavior from a perspective of computational geometry which not only provides a qualitative analysis but also produces quantitative results. We use geodesic polar coordinates (GPC) to numerically obtain explicit parametrizations of the implicitly defined manifold and of the relevant jump and hit sets. Moreover, to deal with the possibly high co-dimension of the considered implicitly defined manifold we sketch how GPC in combination with the cut locus concept can be used to numerically obtain an essentially injective global parametrization. This allows us to parametrize and visualize the dynamical evolution of the system including the aforementioned jump phenomena. As main tools we use homotopy approaches in conjunction with concepts from differential geometry. We discuss how to numerically realize and how to apply them to several examples from mechanics, electrical engineering and biology.
Keywords
- Cut locus, DAE system, Differential geometry, Dynamical system, Geodesic polar coordinates, Hit set, Jump set, Slow-fast vector field
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
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In: Visual Computer, Vol. 31, No. 2, 02.2015, p. 169-186.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Differential geometric methods for examining the dynamics of slow-fast vector fields
AU - Gutschke, Martin
AU - Vais, Alexander
AU - Wolter, Franz Erich
N1 - Publisher Copyright: © 2014, Springer-Verlag Berlin Heidelberg.
PY - 2015/2
Y1 - 2015/2
N2 - In this work we present computational methods for examining dynamical systems. We focus on those systems being characterized by slow–fast vector fields or corresponding differential algebraic equations that commonly occur in physical applications. In the latter ones scientists usually consider a manifold of admissible physical states and a vector field describing the time evolution of the physical system. The manifold is typically implicitly defined within a higher-dimensional space by a system of equations. Certain physical systems, such as relaxation oscillators, perform sudden jumps in their state evolution when they are forced into an unstable state. The main contribution of the present work is to model the dynamical evolution incorporating the jumping behavior from a perspective of computational geometry which not only provides a qualitative analysis but also produces quantitative results. We use geodesic polar coordinates (GPC) to numerically obtain explicit parametrizations of the implicitly defined manifold and of the relevant jump and hit sets. Moreover, to deal with the possibly high co-dimension of the considered implicitly defined manifold we sketch how GPC in combination with the cut locus concept can be used to numerically obtain an essentially injective global parametrization. This allows us to parametrize and visualize the dynamical evolution of the system including the aforementioned jump phenomena. As main tools we use homotopy approaches in conjunction with concepts from differential geometry. We discuss how to numerically realize and how to apply them to several examples from mechanics, electrical engineering and biology.
AB - In this work we present computational methods for examining dynamical systems. We focus on those systems being characterized by slow–fast vector fields or corresponding differential algebraic equations that commonly occur in physical applications. In the latter ones scientists usually consider a manifold of admissible physical states and a vector field describing the time evolution of the physical system. The manifold is typically implicitly defined within a higher-dimensional space by a system of equations. Certain physical systems, such as relaxation oscillators, perform sudden jumps in their state evolution when they are forced into an unstable state. The main contribution of the present work is to model the dynamical evolution incorporating the jumping behavior from a perspective of computational geometry which not only provides a qualitative analysis but also produces quantitative results. We use geodesic polar coordinates (GPC) to numerically obtain explicit parametrizations of the implicitly defined manifold and of the relevant jump and hit sets. Moreover, to deal with the possibly high co-dimension of the considered implicitly defined manifold we sketch how GPC in combination with the cut locus concept can be used to numerically obtain an essentially injective global parametrization. This allows us to parametrize and visualize the dynamical evolution of the system including the aforementioned jump phenomena. As main tools we use homotopy approaches in conjunction with concepts from differential geometry. We discuss how to numerically realize and how to apply them to several examples from mechanics, electrical engineering and biology.
KW - Cut locus
KW - DAE system
KW - Differential geometry
KW - Dynamical system
KW - Geodesic polar coordinates
KW - Hit set
KW - Jump set
KW - Slow-fast vector field
UR - http://www.scopus.com/inward/record.url?scp=84925519426&partnerID=8YFLogxK
U2 - 10.1007/s00371-014-1036-0
DO - 10.1007/s00371-014-1036-0
M3 - Article
AN - SCOPUS:84925519426
VL - 31
SP - 169
EP - 186
JO - Visual Computer
JF - Visual Computer
SN - 0178-2789
IS - 2
ER -