Michael S. Jolly
Indiana University
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Featured researches published by Michael S. Jolly.
Russian Mathematical Surveys | 2014
Ciprian Foias; Michael S. Jolly; Rostyslav Kravchenko; Edriss S. Titi
It is shown that the long-time dynamics (the global attractor) of the 2D Navier-Stokes system is embedded in the long-time dynamics of an ordinary differential equation, called a determining form, in a space of trajectories which is isomorphic to for sufficiently large depending on the physical parameters of the Navier-Stokes equations. A unified approach is presented, based on interpolant operators constructed from various determining parameters for the Navier-Stokes equations, namely, determining nodal values, Fourier modes, finite volume elements, finite elements, and so on. There are two immediate and interesting consequences of this unified approach. The first is that the constructed determining form has a Lyapunov function, and thus its solutions converge to the set of steady states of the determining form as the time goes to infinity. The second is that these steady states of the determining form can be uniquely identified with the trajectories in the global attractor of the Navier-Stokes system. It should be added that this unified approach is general enough that it applies, in an almost straightforward manner, to a whole class of dissipative dynamical systems. Bibliography: 23 titles.
Journal of Computational and Nonlinear Dynamics | 2011
Luca Dieci; Michael S. Jolly; Erik S. Van Vleck
The algorithms behind a toolbox for approximating Lyapunov exponents of nonlinear differential systems by QR methods are described. The basic solvers perform integration of the trajectory and approximation of the Lyapunov exponents simultaneously. That is, they integrate for the trajectory at the same time, and with the same underlying schemes, as is carried out for integration of the Lyapunov exponents. Separate computational procedures solve small systems for which the Jacobian matrix can be computed and stored, and for large systems for which the Jacobian cannot be stored, and may not even be explicitly known. If it is known, the user has the option to provide the action of the Jacobian on a vector. An alternative strategy is also presented in which one may want to approximate the trajectory with a specialized solver, linearize around the computed trajectory, and then carry out the approximation of the Lyapunov exponents using techniques for linear problems.
Journal of Scientific Computing | 2018
Aseel Farhat; Hans Johnston; Michael S. Jolly; Edriss S. Titi
We introduce a continuous (downscaling) data assimilation algorithm for the 2D Bénard convection problem using vorticity or local circulation measurements only. In this algorithm, a nudging term is added to the vorticity equation to constrain the model. Our numerical results indicate that the approximate solution of the algorithm is converging to the unknown reference solution (vorticity and temperature) corresponding to the measurements of the 2D Bénard convection problem when only spatial coarse-grain measurements of vorticity are assimilated. Moreover, this convergence is realized using data which is much more coarse than the resolution needed to satisfy rigorous analytical estimates.
Journal of Nonlinear Science | 2017
Ciprian Foias; Michael S. Jolly; Daniel Lithio; Edriss S. Titi
The evolution of a determining form for the 2D Navier–Stokes equations (NSE) which is an ODE on a space of trajectories is completely described. It is proved that at every stage of its evolution, the solution is a convex combination of the initial trajectory and a chosen, fixed steady state, with a dynamical convexity parameter
Journal of Nonlinear Science | 2014
Animikh Biswas; Michael S. Jolly; Vincent R. Martinez; Edriss S. Titi
Journal of Mathematical Fluid Mechanics | 2015
R. Dascaliuc; Zoran Grujić; Michael S. Jolly
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Journal of Dynamics and Differential Equations | 2013
Ciprian Foias; Michael S. Jolly; M. Yang
Journal of Dynamics and Differential Equations | 2018
Michael S. Jolly; Vincent R. Martinez; Tural Sadigov; Edriss S. Titi
θ, which will be called the characteristic determining parameter. That is, we show a separation of variables formula for the solution of the determining form. Moreover, for a given initial trajectory, the dynamics of the infinite-dimensional determining form are equivalent to those of the characteristic determining parameter
arXiv: Analysis of PDEs | 2018
Michael S. Jolly; Vincent R. Martinez; Eric Olson; Edriss S. Titi
Uspekhi Matematicheskikh Nauk | 2014
Киприан Фояш; Ciprian Foias; Майкл С Джолли; Michael S. Jolly; Ростислав Кравченко; Rostyslav Kravchenko; Эдрисc С Тити; Edriss S. Titi
theta