| Issue |
Wuhan Univ. J. Nat. Sci.
Volume 30, Number 5, October 2025
|
|
|---|---|---|
| Page(s) | 490 - 496 | |
| DOI | https://doi.org/10.1051/wujns/2025305490 | |
| Published online | 04 November 2025 | |
CLC number: O316
Gradientization of Herglotz-Type Equations and Stability of Their Solutions
Herglotz型方程组的梯度化与解的稳定性
College of Civil Engineering, Suzhou University of Science and Technology, Suzhou 215011, Jiangsu, China
Received:
10
November
2024
The stability of solutions of Herglotz-type equations for non-conservative systems is studied by converting them into gradient systems. Firstly, Herglotz-type equations for non-conservative systems are given and expressed in contravariant algebraic form. Secondly, four kinds of basic gradient systems are introduced. Thirdly, the conditions for transforming Herglotz-type equations of non-conservative systems into basic gradient systems are given. Then the solution of Herglotz-type equations and its equilibrium stability are analyzed. Finally, four examples are presented to illustrate the calculation process in detail for each case. The results show that the gradient method is effective.
摘要
通过将非保守系统的Herglotz型方程组化为梯度系统, 研究它们的解的稳定性。首先, 给出非保守系统的Herglotz型方程组, 并以逆变代数形式表示。其次, 介绍四类基本梯度系统。第三, 给出非保守系统Herglotz型方程组化为基本梯度系统的条件。然后分析Herglotz型方程组的解与平衡稳定性。最后, 给出四个实例, 详细演绎每种情况下的计算过程。结果表明, 该梯度化方法是有效的。
Key words: non-conservative system / Herglotz-type equation / gradient system / equilibrium stability
关键字 : 非保守系统 / Herglotz型方程组 / 梯度系统 / 平衡稳定性
Cite this article: ZHANG Yi. Gradientization of Herglotz-Type Equations and Stability of Their Solutions[J]. Wuhan Univ J of Nat Sci, 2025, 30(5): 490-496.
Biography: ZHANG Yi, male, Ph. D., Professor, research direction: analytical mechanics. E-mail: zhy@mail.usts.edu.cn
Foundation item: Supported by the National Natural Science Foundation of China (12272248)
© Wuhan University 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
0 Introduction
The system of differential equations
is called the gradient system, where the vector field
is the gradient of
. Hirsch et al [1] studied the gradient system and its properties and gave three important propositions about equilibrium point and stability. If a mechanical system can be transformed into a gradient system, then the characteristics of gradient system can be used to study the properties of mechanical system, especially the kinematic stability[2]. Mei and Wu[3-4] divided gradient systems into two categories: one is those whose equations do not explicitly contain time, including general gradient systems, skew-gradient systems, gradient systems with symmetric negative definite matrices, gradient systems with semi-negative definite matrices, and combined gradient systems; the other class is those whose equations are explicitly time-dependent, called generalized gradient systems. In their monographs[3-4], Mei and Wu comprehensively discussed the gradient representation of constrained mechanical systems, transformed various constrained mechanical systems into various gradient systems, and then studied the integrals and the stability of their solutions by using the properties of gradient systems. Chen et al[5] studied the generalized gradient representation of nonholonomic systems, gradient systems with negative definite asymmetric matrices and generalized Birkhoff systems[6], triple combined gradient systems[7], etc. Tarasov[8-9], Mei et al[10], Lou and Mei[11], Wang and Qi[12-13] studied the fractional-order gradient representation of mechanical systems. Wu and Mei[14], Wang and Bao[15] studied the gradient system in event space. In the past decade, many excellent results have been published in the discussion of gradient systems and constrained mechanical systems[16-20]. Because the gradient system has a lot of good properties, it is very suitable to study with Lyapunov function, so the study of mechanical systems and gradient systems is still an open and important subject.
Herglotz's principle is a generalization of Hamilton's principle to non-conservative systems, which provides an alternative way to model non-conservative problems[21-24]. Based on the Herglotz principle, Donchev[25] and Lazo et al[26-27] studied the variational description of some non-conservative equations, such as electron beam propagation equation, nonlinear Schrodinger equation, nonlinear dissipative oscillators, strings vibrating under viscous forces, etc. Recently, we have applied Herglotz's principle to establish Herglotz-type Lagrange equations[28-29], Hamilton equations[30-32], Birkhoff equations[33-35] and so on for non-conservative mechanical systems. In this paper, we combine Herglotz-type equations with gradient systems to explore the gradientization of Herglotz-type equations, and then study the stability of solution of Herglotz equations.
1 Herglotz-Type Equations
Consider a system of particles described with generalized coordinates
, the Lagrange equations of Herglotz-type are[24]
where
is the Lagrangian function of Herglotz-type.
is the Hamilton-Herglotz action determined by
Define
as the Hamiltonian function of Herglotz-type, and the generalized momentum. By using the
function, equation (1) becomes[30]
equation (4) is the Hamilton equation of Herglotz-type for non-conservative systems.
Let
,
, then equation (4) can be expressed as
where
2 Basic Gradient Systems
Let there be a function
, so as to
Eq.(8) are then called the general gradient system[1], where
is called the potential function,
.
Let there be a function
, so as to
where
is an antisymmetric matrix, i.e.,
Eq.(9) are then called the skew-gradient system[3].
Let there be a function
, so as to
where the matrix
is symmetric negative definite, then Eq.(11) are called the gradient system with a symmetric negative definite matrix[3].
Let there be a function
, so as to
where the matrix
is semi-negative definite, then Eq.(12) are called the gradient system with a semi-negative definite matrix[3].
For the sake of discussion, the above four kinds of gradient systems may be called basic gradient systems. If the equations of constrained mechanical systems can be expressed in the form of Eqs.(8), (9), (11) or (12), then we can analyze the stability of solutions of the systems and study their integrals according to the properties of basic gradient systems.
3 Gradientization of Herglotz-Type Equations
Herglotz-type equations may not necessarily be reduced to the four basic gradient systems mentioned above. The conditions for gradientization of Herglotz-type equations are given below.
Comparing Eqs. (5) and (8), if the condition
is satisfied, then there is a potential function
that makes the equations
valid, then Eq.(5) can be reduced to the first kind of basic gradient system (8), where
.
Comparing Eqs.(5) and (9), if there exist
and
, such that the equations
are satisfied, then Eq.(5) can be reduced to the second kind of basic gradient system (9).
Comparing Eqs.(5) and (11), if there exist
and
, such that the equations
are satisfied, then Eq.(5) can be reduced to the third kind of basic gradient system (11).
Comparing Eqs.(5) and (12), if there exist
and
, such that the equations
are satisfied, then Eq.(5) can be reduced to the fourth basic gradient system (12).
It should be noted that conditions (13), (15), (16) and (17) are sufficient. If it is not satisfied, it cannot be determined that it is not a gradient system. In fact, this is related to the form of first-order equations resulting from Herglotz-type equations.
4 Stability of the Solution of Herglotz-Type Equations
Using the properties of gradient systems, we can explore the integrals of Herglotz-type equations and the stability of their solutions, with the following results:
If the Herglotz-type equations (5) can be reduced to the first kind of basic gradient system (8), then the function
is a first integral of equations (5), which can be taken as the Lyapunov function. Let
Solving the equations (18), we get the solution as
If
is positive definite, then the solution (19) is asymptotically stable. If the function
cannot be taken as the Lyapunov function, we can linearize the equations (5) to find their eigenroots, if there are all negative real roots, then the solution (19) is asymptotically stable; If there are positive real roots, then the solution (19) is unstable.
If the Herglotz-type equations (5) can be reduced to the second kind of basic gradient system (9), then the potential function
is the first integral. Let
Solving the equations (20), we get the solution as
Take
as the Lyapunov function, and if
is positive definite, the solution (21) is stable. If
cannot be taken as a Lyapunov function, then the stability of solution (21) can be analyzed by using Lyapunov's first-order approximation theory, similar to the case mentioned above.
If the Herglotz-type equations (5) can be reduced to the third basic gradient system (11), let
Solving the equations (22), we get the solution as
In the neighborhood of solution (23), if the potential function
is positive definite, then the solution is asymptotically stable.
If the Herglotz-type equations (5) can be reduced to the fourth basic gradient system (12), let
Solving the equations (24), we get the solution as
In the neighborhood of the solution (25), if the potential function
is positive definite, then the solution is stable.
5 Application of Results
Example 1 Suppose that the Lagrangian function of Herglotz-type is
where
, and the constant
, we try to transform it into the first kind of basic gradient system and analyze its stability.
Using formulas (3), the Hamiltonian function and generalized momentum of Herglotz-type are
From Eq.(4), the Herglotz-type equations of the system are
Let
,
, then equations (28) can be expressed as
It is easy to verify that condition (13) is satisfied, so equations (29) can be reduced to the first kind of gradient system. Let
Solveing this equation, we can get
This is the potential function of the system. Let
The equilibrium position is solved as
Obviously, the potential function (31) cannot be taken as the Lyapunov function, and the characteristic equation of equations (29) is
i.e.,
Equation (35) has the solutions
Since there are positive real roots, the solution (33) is unstable.
Example 2 Let the Lagrangian function of Herglotz-type be
The Herglotz-Hamilton action
is defined as
Try to transform it into the second kind of basic gradient system and study its stability.
From formulas (3), we obtain
Thus, the Hamilton equations of Herglotz-type are
Let
Then Eq.(40) can be rewritten as
According to condition (15), we have
where
. Eq.(43) has a solution
Therefore, this belongs to the second kind of basic gradient system (9), namely, skew-gradient system. It is easy to verify that
is the first integral. From
the equilibrium position can be solved as
Since
is positive definite, the solution (46) is stable.
Example 3 The Lagrangian function of Herglotz- type for non-conservative two-degree-of-freedom systems is
where
is determined by
Try to transform it into the third kind of basic gradient system and study the stability of the solution.
The Hamiltonian function of Herglotz-type and its generalized momentum are
The Herglotz-type equations of the system are
Let
Then Eq. (50) can be rewritten as
Take
then the condition (16) is satisfied, and Eq.(52) can be reduced to the third kind of basic gradient system (11). From Eq.(22), the equilibrium position can be solved as
Since
is positive definite, the solution (55) is asymptotically stable.
Example 4 The Lagrangian function of Herglotztype for a non-conservative single-degree-of-freedom system is
where
are positive constants, and
is defined as
Try to transform it into the fourth kind of basic gradient system and study its stability.
According to formulas (3), we have
Thus, Eq.(4) give
Let
,
, then Eq.(59) can be rewritten as
If we take
then Eq. (60) can be expressed as
where the matrix
is a semi-negative definite matrix. Therefore, Eq.(60) can be reduced to a fourth kind of basic gradient system. According to the equations (24), the equilibrium position can be solved as
Since
is positive definite, the solution (64) is stable.
6 Conclusion
The gradient system has many good properties and is especially suitable for studying with Lyapunov function. If a constrained mechanical system can be reduced to a gradient system, then its dynamical behavior can be analyzed by using the characteristics of the gradient system. The novelty of this paper is that the gradientization of Herglotz-type equations for non-conservative systems are proposed and studied, and then the stability of their solutions is analyzed. The conditions and forms of transformation of Herglotz-type equations into four kinds of basic gradient systems are given. Four examples are given to demonstrate the calculation process for the four kinds of cases, and the results verify the feasibility of the proposed method. Future studies may consider the gradientization of Herglotz equations for nonholonomic systems or Birkhoff systems, and generalized gradientization for the systems with rheonomic constraints.
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