| EPSRC Reference: |
EP/J003948/1 |
| Title: |
Unstable Dynamics in Hamiltonian Systems |
| Principal Investigator: |
Gelfreykh, Professor V |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Mathematics |
| Organisation: |
University of Warwick |
| Scheme: |
Leadership Fellowships |
| Starts: |
01 September 2011 |
Ends: |
31 August 2016 |
Value (£): |
821,038
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| EPSRC Research Topic Classifications: |
| Non-linear Systems Mathematics |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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14 Jun 2011
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Fellowships Interviews Panel A
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Announced
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Summary on Grant Application Form |
The key challenge of the modern theory of Hamiltonian Dynamical Systems is to provide adequate mathematical tools for describing chaotic dynamics in a system which combines both regular and chaotic components as an overwhelming majority of models relevant for applications of the theory fell into this category. In this area two major problems have resisted the efforts of scientists for decades. The first one is called "Arnold Diffusion" and is related to instability of action variables on long time scales. The second one is known as "Positive Metric Entropy Conjecture" and states that chaotic motions are physically relevant, i.e., they occupy a subset of positive Lebesgue measure.
In the period of the fellowship I will concentrate on the study of Hamiltonian systems with multiple time scales, as this property is often present in the equations either explicitly or implicitly. The aim of this study is to develop mathematical tools for studying instabilities of dynamics. Preliminary results show that we are able to prove existence of normally hyperbolic invariant objects with different dynamical behaviour of slow components. It is probable that on longer time scales the restriction of the dynamical system on this family can be approximated by a stochastic ordinary differential equation in the slow variables. If confirmed, it will establish an important connection between two different fields of Mathematics: the theory of deterministic Hamiltonian systems and stochastic differential equations, which are considered mostly unrelated at the present.
An extension of these results should provide a new insight on the theory of the Fermi acceleration.
A comparison with variational approach to Arnold Diffusion announced by Mather (Princeton) suggests that our mechanism could be used to solve the long-standing problem of genericity of Arnold Diffusion in near-integrable Hamiltonian systems. The progress in this direction should require radical improvements of methods for detection of transversal homoclinic trajectories associated with various invariant objects, i.e., in the area where I have a substantial technical expertise.
As a summary, the following list of technical topics will be addressed initially: exponentially small splitting of invariant manifolds in higher dimension, stochastic description of slow dynamics in slow-fast systems with chaotic fast component, Fermi acceleration, Arnold Diffusion, positive metric entropy conjecture.
I expect that as the fellowship advances new research directions will arise partially motivated by the development of the theory and partially by questions coming from its applications.
The research will be curried out at the Mathematics Institute, University of Warwick, and will involve collaboration with several groups in the UK and oversees.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.warwick.ac.uk |