Open Access
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

© Wuhan University 2025

Licence Creative CommonsThis 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 dx/dt=-gradV(x)Mathematical equation is called the gradient system, where the vector field gradV=(V/x1,V/x2,,V/xn)Mathematical equation is the gradient of VMathematical equation. 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 qs(s=1,2,,n)Mathematical equation, the Lagrange equations of Herglotz-type are[24]

q s   - d d t q ˙ s + z q ˙ s = 0 ,   s = 1,2 , , n , Mathematical equation(1)

where =(qs,q˙s,z)Mathematical equation is the Lagrangian function of Herglotz-type. zMathematical equation is the Hamilton-Herglotz action determined by

d z d t = ( q s , q ˙ s , z ) . Mathematical equation(2)

Define

( q s , p s , z ) = p s q ˙ s - ( q s , q ˙ s , z ) ,   p s = q ˙ s Mathematical equation(3)

as the Hamiltonian function of Herglotz-type, and the generalized momentum. By using the Mathematical equation function, equation (1) becomes[30]

q ˙ s = p s , p ˙ s = - q s - p s z ,   s = 1,2 , , n . Mathematical equation(4)

equation (4) is the Hamilton equation of Herglotz-type for non-conservative systems.

Let as=qsMathematical equation, an+s=psMathematical equation, then equation (4) can be expressed as

a ˙ μ = Ω μ ν a ν + Π μ ,   μ , ν = 1,2 , , 2 n , Mathematical equation(5)

where

( Ω μ ν ) = ( 0 n × n 1 n × n - 1 n × n 0 n × n ) , Mathematical equation(6)

Π s = 0 ,   Π n + s = - a n + s z . Mathematical equation(7)

2 Basic Gradient Systems

Let there be a function V(x)Mathematical equation, so as to

x ˙ s = - V ( x ) x s ,   s = 1,2 , , n . Mathematical equation(8)

Eq.(8) are then called the general gradient system[1], where VMathematical equation is called the potential function, x=(x1,x2,,xn)Mathematical equation.

Let there be a function V(x)Mathematical equation, so as to

x ˙ s = β s k ( x ) V ( x ) x k ,   s , k = 1,2 , , n , Mathematical equation(9)

where (βsk)=(βsk(x))Mathematical equation is an antisymmetric matrix, i.e.,

β s k ( x ) = - β k s ( x ) . Mathematical equation(10)

Eq.(9) are then called the skew-gradient system[3].

Let there be a function V(x)Mathematical equation, so as to

x ˙ s = γ s k ( x ) V ( x ) x k ,   s , k = 1,2 , , n , Mathematical equation(11)

where the matrix (γsk)=(γsk(x))Mathematical equation is symmetric negative definite, then Eq.(11) are called the gradient system with a symmetric negative definite matrix[3].

Let there be a function V(x)Mathematical equation, so as to

x ˙ s = ϑ s k ( x ) V ( x ) x k ,   s , k = 1,2 , , n , Mathematical equation(12)

where the matrix (ϑsk)=(ϑsk(x))Mathematical equation 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

a ρ ( Ω μ ν a ν + Π μ ) - a μ ( Ω ρ ν a ν + Π ρ ) = 0 Mathematical equation(13)

is satisfied, then there is a potential function V(a)Mathematical equation that makes the equations

- V a μ = Ω μ ν a ν + Π μ ,   μ , ν = 1,2 , , 2 n Mathematical equation(14)

valid, then Eq.(5) can be reduced to the first kind of basic gradient system (8), where a=(a1,a2,,a2n)Mathematical equation.

Comparing Eqs.(5) and (9), if there exist (βμρ(a))Mathematical equation and V(a)Mathematical equation, such that the equations

β μ ρ V a ρ = Ω μ ν a ν + Π μ , μ , ν , ρ = 1,2 , , 2 n Mathematical equation(15)

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 (γμρ(a))Mathematical equation and V(a)Mathematical equation, such that the equations

γ μ ρ V a ρ = Ω μ ν a ν + Π μ , μ , ν , ρ = 1,2 , , 2 n Mathematical equation(16)

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 (ϑμρ(a))Mathematical equation and V(a)Mathematical equation, such that the equations

ϑ μ ρ V a ρ = Ω μ ν a ν + Π μ , μ , ν , ρ = 1,2 , , 2 n Mathematical equation(17)

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 VMathematical equation is a first integral of equations (5), which can be taken as the Lyapunov function. Let

V a μ = 0 , μ = 1,2 , , 2 n . Mathematical equation(18)

Solving the equations (18), we get the solution as

a μ = a 0 μ , μ = 1,2 , , 2 n . Mathematical equation(19)

If VMathematical equation is positive definite, then the solution (19) is asymptotically stable. If the function VMathematical equation 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 VMathematical equation is the first integral. Let

β μ ρ V a ρ = 0 ,   μ , ρ = 1,2 , , 2 n . Mathematical equation(20)

Solving the equations (20), we get the solution as

a μ = a 0 μ ,   μ = 1,2 , , 2 n . Mathematical equation(21)

Take VMathematical equation as the Lyapunov function, and if VMathematical equation is positive definite, the solution (21) is stable. If VMathematical equation 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

γ μ ρ V a ρ = 0 ,   μ , ρ = 1,2 , , 2 n . Mathematical equation(22)

Solving the equations (22), we get the solution as

a μ = a 0 μ ,   μ = 1,2 , , 2 n . Mathematical equation(23)

In the neighborhood of solution (23), if the potential function VMathematical equation 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

ϑ μ ρ V a ρ = 0 ,   μ , ρ = 1,2 , , 2 n . Mathematical equation(24)

Solving the equations (24), we get the solution as

a μ = a 0 μ ,   μ = 1,2 , , 2 n . Mathematical equation(25)

In the neighborhood of the solution (25), if the potential function VMathematical equation is positive definite, then the solution is stable.

5 Application of Results

Example 1 Suppose that the Lagrangian function of Herglotz-type is

= 1 2 q ˙ 2 + 1 2 q 2 - c z , Mathematical equation(26)

where dzdt=Mathematical equation, and the constant c>0Mathematical equation, 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

= 1 2 p 2 - 1 2 q 2 + c z ,   p = q ˙ = q ˙ . Mathematical equation(27)

From Eq.(4), the Herglotz-type equations of the system are

q ˙ = p ,   p ˙ = q - c p . Mathematical equation(28)

Let a1=qMathematical equation, a2=pMathematical equation, then equations (28) can be expressed as

a ˙ 1 = a 2 , a ˙ 2 = a 1 - c a 2 . Mathematical equation(29)

It is easy to verify that condition (13) is satisfied, so equations (29) can be reduced to the first kind of gradient system. Let

- V a 1 = a 2 , - V a 2 = a 1 - c a 2 . Mathematical equation(30)

Solveing this equation, we can get

V = - a 1 a 2 + 1 2 c ( a 2 ) 2 . Mathematical equation(31)

This is the potential function of the system. Let

V a 1 = 0 , V a 2 = 0 . Mathematical equation(32)

The equilibrium position is solved as

a 0 1 = 0 , a 0 2 = 0 . Mathematical equation(33)

Obviously, the potential function (31) cannot be taken as the Lyapunov function, and the characteristic equation of equations (29) is

| λ - 1 - 1 λ + c | = 0 , Mathematical equation(34)

i.e.,

λ 2 + c λ - 1 = 0 . Mathematical equation(35)

Equation (35) has the solutions

λ = - c ± c 2 + 4 2 , Mathematical equation(36)

Since there are positive real roots, the solution (33) is unstable.

Example 2 Let the Lagrangian function of Herglotz-type be

= 1 2 q ˙ 2 - 1 2 q 2 ( 1 + q 2 ) 2 + 4 q q ˙ 1 + q 2 z . Mathematical equation(37)

The Herglotz-Hamilton action zMathematical equation is defined as

d z d t = 1 2 q ˙ 2 - 1 2 q 2 ( 1 + q 2 ) 2 + 4 q q ˙ 1 + q 2 z . Mathematical equation(38)

Try to transform it into the second kind of basic gradient system and study its stability.

From formulas (3), we obtain

= 1 2 ( p - 4 q z 1 + q 2 ) 2 + 1 2 q 2 ( 1 + q 2 ) 2 , p = q ˙ = q ˙ + 4 q z 1 + q 2 . Mathematical equation(39)

Thus, the Hamilton equations of Herglotz-type are

q ˙ = p - 4 q z 1 + q 2 , p ˙ = 4 1 + q 2 ( p - 4 q z 1 + q 2 ) [ z ( 1 - q 2 ) + q p ] - ( 1 + q 2 ) ( 1 + 3 q 2 ) q . Mathematical equation(40)

Let

a 1 = q ,   a 2 = 1 1 + q 2 ( p - 4 q z 1 + q 2 ) . Mathematical equation(41)

Then Eq.(40) can be rewritten as

a ˙ 1 = a 2 [ 1 + ( a 1 ) 2 ] ,   a ˙ 2 = - a 1 [ 1 + ( a 1 ) 2 ] . Mathematical equation(42)

According to condition (15), we have

( 0 β 12 β 21 0 ) ( V a 1 V a 2 ) = ( a 2 [ 1 + ( a 1 ) 2 ] - a 1 [ 1 + ( a 1 ) 2 ] ) , Mathematical equation(43)

where β21=-β12Mathematical equation. Eq.(43) has a solution

β 12 = 1 + ( a 1 ) 2 ,   V = 1 2 ( a 1 ) 2 + 1 2 ( a 2 ) 2 . Mathematical equation(44)

Therefore, this belongs to the second kind of basic gradient system (9), namely, skew-gradient system. It is easy to verify that VMathematical equation is the first integral. From

β 12 V a 2 = 0 , β 21 V a 1 = 0 , Mathematical equation(45)

the equilibrium position can be solved as

a 0 1 = 0 , a 0 2 = 0 . Mathematical equation(46)

Since VMathematical equation 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

= 1 2 ( q ˙ 1 2 + q ˙ 2 2 ) - 1 2 ( q 1 2 + q 2 2 ) - 3 z , Mathematical equation(47)

where zMathematical equation is determined by

d z d t = 1 2 ( q ˙ 1 2 + q ˙ 2 2 ) - 1 2 ( q 1 2 + q 2 2 ) - 3 z . Mathematical equation(48)

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

= 1 2 ( p 1 2 + p 2 2 ) + 1 2 ( q 1 2 + q 2 2 ) + 3 z ,   p 1 = q ˙ 1 = q ˙ 1 , p 2 = q ˙ 2 = q ˙ 2 . Mathematical equation(49)

The Herglotz-type equations of the system are

q ˙ 1 = p 1 ,   q ˙ 2 = p 2 ,   p ˙ 1 = - q 1 - 3 p 1 ,   p ˙ 2 = - q 2 - 3 p 2 . Mathematical equation(50)

Let

a 1 = q 1 ,   a 2 = q 2 ,   a 3 = q 1 + p 1 ,   a 4 = q 2 + p 2 . Mathematical equation(51)

Then Eq. (50) can be rewritten as

a ˙ 1 = - a 1 + a 3 ,   a ˙ 2 = - a 2 + a 4 ,   a ˙ 3 = a 1 - 2 a 3 ,   a ˙ 4 = a 2 - 2 a 4 . Mathematical equation(52)

Take

V = 1 2 ( a 1 ) 2 + 1 2 ( a 2 ) 2 + 1 2 ( a 3 ) 2 + 1 2 ( a 4 ) 2 , Mathematical equation(53)

( γ μ ρ ) = ( - 1 0 1 0 0 - 1 0 1 1 0 - 2 0 0 1 0 - 2 ) , Mathematical equation(54)

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

a 0 1 = a 0 2 = a 0 3 = a 0 4 = 0 . Mathematical equation(55)

Since VMathematical equation 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

= 1 2 m q ˙ 2 - 1 2 k q 2 e x p q - c z , Mathematical equation(56)

where m,k,cMathematical equation are positive constants, and zMathematical equation is defined as

d z d t = 1 2 m q ˙ 2 - 1 2 k q 2 e x p q - c z . Mathematical equation(57)

Try to transform it into the fourth kind of basic gradient system and study its stability.

According to formulas (3), we have

= 1 2 m p 2 + 1 2 k q 2 e x p q + c z ,   p = q ˙ = m q ˙ . Mathematical equation(58)

Thus, Eq.(4) give

q ˙ = p m , p ˙ = - k q e x p q - 1 2 k q 2 e x p q - c p . Mathematical equation(59)

Let a1=qMathematical equation, a2=pMathematical equation, then Eq.(59) can be rewritten as

a ˙ 1 = a 2 m , a ˙ 2 = - k a 1 e x p a 1 - 1 2 k ( a 1 ) 2 e x p a 1 - c a 2 . Mathematical equation(60)

If we take

V = 1 2 ( a 1 ) 2 e x p a 1 + 1 2 ( a 2 ) 2 , Mathematical equation(61)

then Eq. (60) can be expressed as

( a ˙ 1 a ˙ 2 ) = ( 0 1 m - k - c ) ( V a 1 V a 2 ) , Mathematical equation(62)

where the matrix

( ϑ μ ρ ) = ( 0 1 m - k - c ) Mathematical equation(63)

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

a 0 1 = 0 , a 0 2 = 0 . Mathematical equation(64)

Since VMathematical equation 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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