Abstract:We compare the performance of two algorithms of computing the Borel sum of a time power series. The first one uses Padé approximants in Borel space, followed by a Laplace transform. The second is based on factorial series. These algorithms are incorporated in a numerical scheme for time integration of differential equations.
“…βv is the mortality rate of prey depending on the the number v of predators and δu is the birth rate of predators depending on the number of prey eaten. It is straight forward to show that system (30) possesses the first integral:…”
Section: Lotka-volterra Equationsmentioning
confidence: 99%
“…We now examine the behaviour of the schemes when the stiffness ratio varies. The stiffness ratio r is defined as the spectral condition number of the linear part of equations (30), that is…”
Section: Increasing the Stiffness Ratiomentioning
confidence: 99%
“…It makes use of a Padé approximation, as will be seen later, and is accordingly named Borel-Padé-Laplace algorithm (BPL). A representation of the Borel sum as an inverse factorial series also leads to an efficient algorithm [30] but will not be used.…”
“…βv is the mortality rate of prey depending on the the number v of predators and δu is the birth rate of predators depending on the number of prey eaten. It is straight forward to show that system (30) possesses the first integral:…”
Section: Lotka-volterra Equationsmentioning
confidence: 99%
“…We now examine the behaviour of the schemes when the stiffness ratio varies. The stiffness ratio r is defined as the spectral condition number of the linear part of equations (30), that is…”
Section: Increasing the Stiffness Ratiomentioning
confidence: 99%
“…It makes use of a Padé approximation, as will be seen later, and is accordingly named Borel-Padé-Laplace algorithm (BPL). A representation of the Borel sum as an inverse factorial series also leads to an efficient algorithm [30] but will not be used.…”
“…Note that at each time, the approximate solution has an analytical representation as a Laplace integral. A continued fraction representation can also be used [8].…”
This article reviews some integrators particularly suitable for the numerical resolution of differential equations on a large time interval. Symplectic integrators are presented. Their stability on exponentially large time is shown through numerical examples. Next, Dirac integrators for constrained systems are exposed. An application on chaotic dynamics is presented. Lastly, for systems having no exploitable geometric structure, the Borel-Laplace integrator is presented. Numerical experiments on Hamiltonian and non-Hamiltonian systems are carried out, as well as on a partial differential equation.
“…The Borel-Laplace algorithm that will be discussed here results from the representation of the Borel sum as a Laplace integral. A representation as a factorial series also leads to an efficient algorithm [23] but will not be used.…”
A stability analysis of the Borel-Laplace series summation technique, used as explicit time integrator, is carried out. Its numerical performance on stiff and non-stiff problems is analyzed. Applications to ordinary and partial differential equations are presented. The results are compared with those of many popular schemes designed for stiff and non-stiff equations.
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