On Computation of Lyapunov Exponents by QR Methods with Error Control for Semi-Linear DAEs
DOI:
https://doi.org/10.52825/dae-p.v3i.2632Keywords:
Semi-Linear Differential-Algebraic Equations, Linearization, Lyapunov Exponents, Smooth QR Factorization, Embedded Runge-Kutta Methods, Error ControlAbstract
In this paper, we propose and analyze numerical methods for computing Lyapunov exponents of semi-linear differential-algebraic equations (DAEs), leveraging smooth QR factorizations and Runge-Kutta (RK) methods with error control and automatic step size selection. We demonstrate how both discrete and continuous QR approaches efficiently approximate Lyapunov exponents by simultaneously solving semi-linear DAEs and their linearized counterparts. The paper details the underlying algorithms, error analysis, and numerical integration techniques, focusing on half-explicit RK (HERK) and explicit singly diagonal implicit RK (ESDIRK) methods. We also provide implementation details and present numerical experiments to illustrate the efficiency of these methods.
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References
L. Y. Adrianova. Introduction to linear systems of differential equations. Vol. 146. Trans. Math. Monographs: AMS, Providence, RI, 1995.
A. Alamodi, K. Sun, Y. Peng. Chaotic attractor with varied parameters. The European Physical Journal Special Topics. 2020;229:1095–1108.
U. M. Ascher, L. R. Petzold. Computer methods for ordinary differential equations and differential - algebraic equations. SIAM, Philadelphia, 1998.
G. Cassoni, A. Zanoni, A. Tamer, P. Masarati. Stability analysis of nonlinear rotating systems using Lyapunov characteristic exponents estimated from multibody dynamics. J. Comput. Nonlinear Dynam. 2023;18(8): 081002.
J. L. Daleckii, M. G. Krein. Stability of solutions of differential equations in Banach spaces. American Mathematical Society: Providence, RI, 1974.
P. Di Franco, G. Scarciotti, A. Astolfi. Stability of nonlinear differential-algebraic systems via additive identity. IEEE/CAA J. Automatica Sinica. 2020;7:929–941.
L. Dieci, R. D. Russell, E. Van Vleck. On the computation of Lyapunov exponents for continuous dynamical systems. SIAM J. Appl. Math. 1997;34:402–423.
L. Dieci, E. Van Vleck. Computation of a few Lyapunov exponents for continuous and discrete dynamical systems. Appl. Numer. Math. 1995;17:275–291.
L. Dieci, E. Van Vleck. Lyapunov and other spectra: a survey. In: Collected Lectures on the Preservation of Stability Under Discretization (Fort Collins, CO, 2001). SIAM, Philadelphia. 2002:197–218.
L. Dieci, E. Van Vleck. Lyapunov and Sacker-Sell spectral intervals. J. Dyn. Diff. Equ. 2007;19:265–293.
L. Dieci, E. Van Vleck. Lyapunov spectral intervals: theory and computation. SIAM J. Numer. Anal. 2002;40:516–542.
L. Dieci, E. Van Vleck. On the error in computing Lyapunov exponents by QR methods. Numer. Math. 2005;101:619–642.
L. Dieci, E. Van Vleck. Pertubation theory for approximation of Lyapunov exponents by QR methods. J. Dyn. Diff. Equ. 2006;18:815-842.
A. Gonz´alez-Zumba, P. Fern´andez De C´ordoba, J.-C. Cort´es, V. Mehrmann. Stability assessment of stochastic differential-algebraic systems via Lyapunov exponents with an application to power systems. Mathematics. 2020;8(9):1–26.
J. Jørgensen, M. Kristensen, P. Thomsen. A family of ESDIRK integration methods. arXiv:1803.01613v1 [math.NA]. 2018;5 Mar:22.
M. Kristensen, J. Jørgensen, P. Thomsen, S. Jørgensen. An ESDIRK method with sensitivity analysis capabilities. Computers and Chemical Engineering. 2004;28:2695–2707.
P. Kunkel, V. Mehrmann. Differential-Algebraic Equations Analysis and Numerical Solution. Zurich: European Mathematical Society, 2006.
V. H. Linh, V. Mehrmann. Approximation of spectral intervals and leading directions for differential-algebraic equations via smooth singular value decompositions. SIAM J. Numer. Anal. 2011;49:1810–1835.
V. H. Linh, V. Mehrmann. Efficient integration of strangeness-free non-stiff differential-algebraic equations by half-explicit methods. J. Comput. Appl. Math. 2014;262:346–360.
V. H. Linh, V. Mehrmann. Lyapunov, Bohl and Sacker-Sell spectral intervals for differential-algebraic equations. J. Dyn. Diff. Equ. 2009;21:153–194.
V. H. Linh, V. Mehrmann, E. Van Vleck. QR Methods and error analysis for computing Lyapunov and Sacker-Sell spectral intervals for linear differential-algebraic equations. Adv. Comput. Math. 2011;35:281–322.
V. H. Linh, N. D. Truong. Runge-Kutta methods revisited for a class of structured strangeness-free differential-algebraic equations. Electr. Trans. Num. Anal. 2018;48:131–135.
P. Masarati, A. Tamer. Sensitivity of trajectory stability estimated by Lyapunov characteristic exponents. Aerospace Science and Technology. 2015;47:501–510.
P. Masarati. Estimation of Lyapunov exponents from multibody dynamics in differential-algebraic form. Proceedings Inst. Mech. Eng., Part K: Journal of Multi-body Dynamics. 2013;227:23–33.
P. Q. Tuyen. Some Runge-Kutta algorithms with error control and variable stepsizes for solving a class of differential-algebraic equations. VNU Journal of Science: Mathematics-Physics. 2020;36:104–119
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Copyright (c) 2025 Vu Hoang Linh, Dr. Nguyen Duy Truong, Mr. Phan Quang Tuyen

This work is licensed under a Creative Commons Attribution 4.0 International License.
Accepted 2025-08-23
Published 2025-09-03
Funding data
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National Foundation for Science and Technology Development
Grant numbers 101.02-2021.43