“…In particular, area preservation of a non-implicit integration scheme should be expected for a conserved Hamiltonian, i.e., in the absence of damping or amplification in the system. This is not necessarily true for implicit schemes [10]. Further for non-implicit schemes, we shall also see that if J > 1 then the integration scheme is numerically unconditionally unstable and that J = 1 is a necessary condition for numerical stability.…”
Section: ð4þmentioning
confidence: 92%
“…While the linear stability of time-differenced integration schemes is well-understood as being related to normal modes which are not modes of the exact equation [6][7][8][9], the application of the LF method to nonlinear oscillations was shown by Friedman and Auerbach [10] and Auerbach and Friedman [11] to be limited beyond a certain threshold by ''numerical stochasticity'', which arises from time differencing rather than from any intervening physical process. Auerbach and Friedman [11] also demonstrate the connection between area preservation and long term stability of the computed orbits.…”
Section: ð4þmentioning
confidence: 99%
“…Auerbach and Friedman [11] also demonstrate the connection between area preservation and long term stability of the computed orbits. Following the Hamiltonian spirit of [10,11], we emphasize here the analogy between a 2nd order time-differencing scheme for an equation of motion and a mapping of phase space (v, z) onto itself. The analogy is useful in as much as the mapping represents a perturbation of an originally integrable Hamiltonian.…”
Section: ð4þmentioning
confidence: 99%
“…Stochasticity onset occurs around K = 1 [12], i.e., around x B Dt = 1. The isochronous leapfrog method leads to a symmetrized time-centered version of (33) [10] and clearly has the same stochasticity threshold K = 1. The SIMP scheme (13) likewise leads to a standard map.…”
Section: Calculation Of Orbits In a Plane Wave And Nonlinear Stabilitymentioning
“…In particular, area preservation of a non-implicit integration scheme should be expected for a conserved Hamiltonian, i.e., in the absence of damping or amplification in the system. This is not necessarily true for implicit schemes [10]. Further for non-implicit schemes, we shall also see that if J > 1 then the integration scheme is numerically unconditionally unstable and that J = 1 is a necessary condition for numerical stability.…”
Section: ð4þmentioning
confidence: 92%
“…While the linear stability of time-differenced integration schemes is well-understood as being related to normal modes which are not modes of the exact equation [6][7][8][9], the application of the LF method to nonlinear oscillations was shown by Friedman and Auerbach [10] and Auerbach and Friedman [11] to be limited beyond a certain threshold by ''numerical stochasticity'', which arises from time differencing rather than from any intervening physical process. Auerbach and Friedman [11] also demonstrate the connection between area preservation and long term stability of the computed orbits.…”
Section: ð4þmentioning
confidence: 99%
“…Auerbach and Friedman [11] also demonstrate the connection between area preservation and long term stability of the computed orbits. Following the Hamiltonian spirit of [10,11], we emphasize here the analogy between a 2nd order time-differencing scheme for an equation of motion and a mapping of phase space (v, z) onto itself. The analogy is useful in as much as the mapping represents a perturbation of an originally integrable Hamiltonian.…”
Section: ð4þmentioning
confidence: 99%
“…Stochasticity onset occurs around K = 1 [12], i.e., around x B Dt = 1. The isochronous leapfrog method leads to a symmetrized time-centered version of (33) [10] and clearly has the same stochasticity threshold K = 1. The SIMP scheme (13) likewise leads to a standard map.…”
Section: Calculation Of Orbits In a Plane Wave And Nonlinear Stabilitymentioning
“…The macro-particles are advanced in time using a combination of the "leap frog" and "isochronous leap frog" methods [7]. Each time step goes through the following pattern:…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.