2018
DOI: 10.1016/j.physleta.2017.12.023
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Optimal bounds and extremal trajectories for time averages in nonlinear dynamical systems

Abstract: For any quantity of interest in a system governed by ordinary differential equations, it is natural to seek the largest (or smallest) long-time average among solution trajectories, as well as the extremal trajectories themselves. Upper bounds on time averages can be proved a priori using auxiliary functions, the optimal choice of which is a convex optimization problem. We prove that the problems of finding maximal trajectories and minimal auxiliary functions are strongly dual. Thus, auxiliary functions provide… Show more

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Cited by 52 publications
(96 citation statements)
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References 26 publications
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“…It relies on computation of an optimal Lyapunov functional which under the sumof-squares approximation reduces to solution of a convex semidefinite optimization problem (Chernyshenko et al, 2014). To date, this approach has been used to obtain new results concerning the average and extreme behavior of some simple models, both in finite and infinite dimension (Tobasco et al, 2018;Goluskin, 2018;Goluskin & Fantuzzi, 2019).…”
Section: D Burgers Instantaneousmentioning
confidence: 99%
“…It relies on computation of an optimal Lyapunov functional which under the sumof-squares approximation reduces to solution of a convex semidefinite optimization problem (Chernyshenko et al, 2014). To date, this approach has been used to obtain new results concerning the average and extreme behavior of some simple models, both in finite and infinite dimension (Tobasco et al, 2018;Goluskin, 2018;Goluskin & Fantuzzi, 2019).…”
Section: D Burgers Instantaneousmentioning
confidence: 99%
“…We use the lim sup in this definition because time averages need not converge. As already noted in [24], Φ(a 0 ) could alternatively be defined using the lim inf, with no effect on the results presented in this work. Conditions under which time averages do converge are discussed in [37].…”
Section: Infinite-time Averages and Auxiliary Functionsmentioning
confidence: 92%
“…where a ∈ R n and f : R n → R n is continuously differentiable. Following [24], we assume that there exists a compact set Ω in which all solutions a(t ; a 0 ) of (1) eventually remain, irrespective of the initial conditions a 0 . Such a set may be found in a variety of ways, but one very common approach is to let Ω = {a ∈ R n | W (a) ≤ C}, where W : R n → R is a radially unbounded and continuously differentiable function such that…”
Section: Infinite-time Averages and Auxiliary Functionsmentioning
confidence: 99%
See 1 more Smart Citation
“…To bound the Nusselt number Nu we follow a general approach [24][25][26][27] and look for a so-called auxiliary functional of the dynamical variables, V T , θ , that is differentiable along solutions of (4a)-(4f), uniformly bounded in time, and satisfies…”
Section: Bounding the Nusselt Numbermentioning
confidence: 99%