James D. Meiss spends much of his time researching Mathematical analysis, Invariant, Hamiltonian system, Phase space and Statistical physics. His Mathematical analysis study combines topics in areas such as Born approximation and Pure mathematics. His Invariant study incorporates themes from Computation, Torus, Markov chain, Homoclinic orbit and Symplectic geometry.
His biological study spans a wide range of topics, including Dynamical systems theory, Algebraic number and Mathematical model. The Dynamical systems theory study which covers Hamiltonian that intersects with Classical mechanics. James D. Meiss has included themes like Stochastic process, Mathematical Operators, Invariant, Nonlinear system and Standard map in his Statistical physics study.
James D. Meiss mainly focuses on Mathematical analysis, Invariant, Classical mechanics, Pure mathematics and Chaotic. James D. Meiss has researched Mathematical analysis in several fields, including Bifurcation diagram, Pitchfork bifurcation, Saddle-node bifurcation, Bifurcation and Twist. The various areas that James D. Meiss examines in his Invariant study include Fixed point, Phase space, Torus, Integrable system and Standard map.
His studies deal with areas such as Bounded function and Homoclinic orbit as well as Phase space. James D. Meiss works mostly in the field of Classical mechanics, limiting it down to topics relating to Dynamical systems theory and, in certain cases, Invariant and Computational topology. His biological study deals with issues like Statistical physics, which deal with fields such as Markov chain and Mathematical model.
Invariant, Pure mathematics, Dynamical systems theory, Symplectic geometry and Mathematical analysis are his primary areas of study. His Invariant study combines topics from a wide range of disciplines, such as Diffeomorphism, Torus and Bifurcation. His research investigates the connection between Torus and topics such as Chaotic that intersect with problems in Statistical physics.
His studies deal with areas such as Persistent homology, Hamiltonian system, Topological data analysis, Free parameter and Nonlinear system as well as Dynamical systems theory. His work on Kolmogorov–Arnold–Moser theorem as part of general Hamiltonian system study is frequently connected to Foliation, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Mathematical analysis study incorporates themes from Dynamical system, Twist and Resonance.
The scientist’s investigation covers issues in Dynamical systems theory, Mathematical physics, Symplectic geometry, Mathematical analysis and Computation. He works mostly in the field of Mathematical physics, limiting it down to topics relating to Hamiltonian and, in certain cases, Hamiltonian system, as a part of the same area of interest. The subject of his Hamiltonian system research is within the realm of Classical mechanics.
His Symplectic geometry research is classified as research in Pure mathematics. His Mathematical analysis research includes elements of Dynamical system, Twist, Resonance and Constant. His Computation research incorporates themes from Geometry, Invariant, Torus, Algebraic number and Bubble.
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Transport in Hamiltonian systems
R.S. Mackay;J.D. Meiss;I.C. Percival.
Physica D: Nonlinear Phenomena (1984)
Symplectic maps, variational principles, and transport
J. D. Meiss.
Reviews of Modern Physics (1992)
Differential dynamical systems
James D. Meiss.
(2007)
Stochastic dynamical systems
Joseph Honerkamp;James D. Meiss.
Physics Today (1994)
Hamiltonian dynamical systems : a reprint selection
R. S. Mackay;J. D. Meiss.
Bristol: Adam Hilger (1987)
Markov tree model of transport in area-preserving maps
James D. Meiss;Edward Ott.
Physica D: Nonlinear Phenomena (1986)
Markov-Tree model of intrinsic transport in Hamiltonian systems.
James D. Meiss;Edward Ott.
Physical Review Letters (1985)
Solitary drift waves in the presence of magnetic shear
J. D. Meiss;W. Horton.
Physics of Fluids (1983)
Hamiltonian dynamical systems
R.S MacKay;J.D Meiss.
(2020)
Stochasticity and Transport in Hamiltonian Systems
R. S. MacKay;J. D. Meiss;I. C. Percival.
Physical Review Letters (1984)
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