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A Lyapunov and Sacker–Sell spectral stability theory for one-step methods

Journal Article · · BIT Numerical Mathematics
 [1];  [2]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Univ. of Kansas, Lawrence, KS (United States)

Approximation theory for Lyapunov and Sacker–Sell spectra based upon QR techniques is used to analyze the stability of a one-step method solving a time-dependent (nonautonomous) linear ordinary differential equation (ODE) initial value problem in terms of the local error. Integral separation is used to characterize the conditioning of stability spectra calculations. The stability of the numerical solution by a one-step method of a nonautonomous linear ODE using real-valued, scalar, nonautonomous linear test equations is justified. This analysis is used to approximate exponential growth/decay rates on finite and infinite time intervals and establish global error bounds for one-step methods approximating uniformly, exponentially stable trajectories of nonautonomous and nonlinear ODEs. A time-dependent stiffness indicator and a one-step method that switches between explicit and implicit Runge–Kutta methods based upon time-dependent stiffness are developed based upon the theoretical results.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1441387
Report Number(s):
SAND--2018-3923J; 662324
Journal Information:
BIT Numerical Mathematics, Journal Name: BIT Numerical Mathematics Vol. 58; ISSN 0006-3835
Publisher:
Springer NatureCopyright Statement
Country of Publication:
United States
Language:
English

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