Stability of the Rosenbrock methods for the neutral delay differential-algebraic equations☆
Introduction
In recent years, much research has been focused on the stability of numerical methods for the delay differential equations (DDEs). This system can be found in wide variety of scientific and engineering fields such as biology, physics, ecology and so on (see also [3], [12], [14]). Many papers paid attention to the research on the numerical methods. For example, the numerical stability of the θ-methods can be referred to [11], [13] and that of the Runge–Kutta methods can be referred to [9], [10]. Especially, a comprehensive list of the numerical methods is displayed in [2]. The GP-stability and the GPL-stability of Rosenbrock methods for one-dimensional delay differential equations are considered. It is shown that the Rosenbrock method for DDEs is GP-stable if and only if the corresponding Rosenbrock method for the ordinary differential equations (ODEs) is A-stable in [5]. Moreover, it is proved that the method is GPL-stable if and only if it is L-stable for ODEs in [6].
During the same period, some work has also been done in the field of differential-algebraic equations (DAEs), see also [4], [7], [15], and delay differential-algebraic equations (DDAEs), see also [1], [8], [16].
However, most references mentioned above are concerned with the stability analysis of the Runge–Kutta methods and the θ-methods. Especially, in Ref. [16], the author has mainly discussed the stability of the linear multistep methods, the Runge–Kutta methods and the θ-methods.
In this paper, the Rosenbrock methods are extended to NDDAEs and the asymptotic stability of Rosenbrock methods for the linear NDDAEs with constant coefficients is considered. The stability of the Rosenbrock methods for the linear constant coefficient DAEs is studied, which makes the analysis for the NDDAEs’ case understood better. Furthermore, the conditions for the Rosenbrock methods to be stable are given for the NDDAEs, in the procedure of which we have made use of the interpolation technique that is referred to Ref. [9].
Section snippets
Brief introduction of Rosenbrock methods
Consider the nonautonomous systemwhere x, f are d-dimensional vectors. The s-stage Rosenbrock methods take form as the following:where tn = nh and h is the stepsize, αij, γij, αi, γi are real coefficients, and for i = 1, 2, … , s, I denotes the identity matrix and J denotes the Jacobi matrix fx(tn, xn), xn is the approximation of x(tn) and Kn,i is the approximation of the
Linear constant coefficient DAEs
Consider the simplest kind of linear differential-algebraic equationswhere are constant matrices and A is singular. The solvability of (3), which is essentially the existence and uniqueness of the solution, is given by the following theorem in [4]. Lemma 3.1 The system (3) is solvable if and only if the matrix pencil λA + B is regular, i.e., not identically singular for any λ. Definition 3.1 The solution x(t) of system (3) is said to be asymptotically stable, if there exists a constant b, for any
The asymptotic stability of Rosenbrock methods for NDDAEs
In this section, we will consider NDDAEswhere is constant matrices and A is singular. We are going to construct the Rosenbrock methods for the system (10) and analyze the asymptotic stability of the numerical methods.
References (16)
- et al.
The GPL-stability of Rosenbrock methods for delay differential equation
Appl. Math. Comput.
(2004) - et al.
Asymptotic stability of linear delay differential-algebraic equations and numerical methods
Appl. Numer. Math.
(1997) - et al.
The numerical solution of delay-differential-algebraic equations of retarded and neutral type
SIAM J. Numer. Anal.
(1995) - et al.
Numerical Methods for Delay Differential Equations
(2003) - et al.
Differential-Differernce Equations
(1963) - et al.
Numerical Solution of Initial-Value Problem in Differential-Algebra Equations, Equations
(1995) - et al.
Asymptotic stability of Rosenbrock methods for delay differential equations
J. Syst. Simul.
(2002) - et al.
Solving Ordinary Differential Equations
(2000)
Cited by (11)
Asymptotic stability of Runge-Kutta method for solving nonlinear functional differential-algebraic equations
2022, Applied Numerical MathematicsCitation Excerpt :The numerical methods for solving special cases of FDAEs have attracted extensive attention. Some methods, such as block boundary value method, linear multi-step method and Runge-Kutta method, for solving a class of linear delay differential-algebraic equations (DDAEs) are deeply studied in [1,2,11,12,18–20]. Further, for nonlinear differential-algebraic equations with constant delay, the stability and asymptotic stability of some numerical methods have been extensively studied in [10,14–17], including implicit Euler method, block boundary value method, one-leg method and Runge-Kutta method.
Stability analysis of linear multistep and Runge-Kutta methods for neutral multidelay-differential-algebraic systems
2012, Mathematical and Computer ModellingAsymptotic stability of block boundary value methods for delay differential-algebraic equations
2010, Mathematics and Computers in SimulationCitation Excerpt :In the last several decades, for solving differential-algebraic equations (DAEs), a lot of numerical methods, such as linear multistep methods, one-leg methods, Runge–Kutta methods and boundary value methods (BVMs), have been developed (cf. [3,4,7,10]). During the same period of time several numerical methods for delay differential equations (DDEs) have been extended to delay differential-algebraic equations (DDAEs) (see e.g. [5,9,14,15]). Related researches on numerical methods for DDEs are enormous and we refer to Bellen and Zenarro [6] and the references therein.
Convergence of Variational Iteration Method for Fractional Delay Integrodifferential-Algebraic Equations
2017, Mathematical Problems in EngineeringA novel identification method based on frequency response analysis
2016, Transactions of the Institute of Measurement and Control
- ☆
This paper is supported by the National Natural Science Foundation of China (10271036).