• 検索結果がありません。

ACTA UNIVERSITATIS APULENSIS No 15/2008

N/A
N/A
Protected

Academic year: 2022

シェア "ACTA UNIVERSITATIS APULENSIS No 15/2008"

Copied!
6
0
0

読み込み中.... (全文を見る)

全文

(1)

MULTIPLE HAMILTONIAN STRUCTURES FOR THE ISHII’S EQUATION

Ionel Mos¸

Abstract.The Ishii’s equation is considered and some aspects of its Poisson geometry are pointed out.

2000 Mathematics Subject Classification: 53D17, 37J35.

1. Introduction

The dynamics of Ishii’s equation using an Hamilton-Poisson formulation was studied in [1]. The authors show that the system

˙

x1 = x2

˙

x2 = x3

˙

x3 = x1x2,

(1) has the Hamilton-Poisson realization (R3,{·,·}1, H1),where the Poisson struc- ture {·,·}1 is generated by the matrix

Π1(x1, x2, x3) =

0 −1 0

1 0 x1 0 −x1 0

, (2) and the Hamiltonian H1 is given by

H1(x1, x2, x3) =x1x3−1

2x22− 1

3x31. (3)

Also, the function H2 ∈C(R3, R) given by H2(x1, x2, x3) =x3− 1

2x21 (4)

is a Casimir of the configuration (R3,{·,·}1).

Next, we find new Hamilton-Poisson formulations for the system (1), write the system (1) as a multi-gradient system and construct geometric integrators that preseve some ”qualitative” features (constants of motion, Poisson structure) of the system (1).

(2)

2.Multi-Hamiltonian realization of the system (1)

Let C(R3, R) be the space of smooth real valued functions defined on R3 and the bracket {·,·}2 onC(R3, R) defined by

{f, g}2 = (∇f)tΠ2(∇g), (5) where the matrix Π2 is given by

Π2(x1, x2, x3) =

0 x1 x2

−x1 0 x3−x21

−x2 x21−x3 0

. (6) Proposition 1. The bracket (5) defines a Poisson structure on R3.

Proof. It is easy to see that the bracket (5) is bilinear, skew-symmetric and satisfies Leibniz’ rule. The Jacobi identity reduces in the three dimensional case to the following single relation

π12

∂π31

∂x1 − ∂π23

∂x2

13

∂π12

∂x1 − ∂π23

∂x3

23

∂π12

∂x2 − ∂π31

∂x3

= 0, which is, also, easily verified.

Proposition 2. The Poisson structures {·,·}1, {·,·}2 are compatible.

Proof. It is well known that {·,·}1, {·,·}2 are compatible if and only if [Π12]S = 0, where [·,·]S is the Schouten bracket. Computing the compo- nents in local coordinates of [Π12]S given by (see [2])

12]ijkS =−

3

X

m=1

Πmk2 ∂Πij1

∂xm + Πmk1 ∂Πij2

∂xm +cycle(i, j, k)

!

we obtain the desired result.

Proposition 3. The system (1) is a bi-Hamiltonian system.

Proof. Indeed, the Poisson structures{·,·}1,{·,·}2 are not constant multiples of each other, compatible and

˙

x= Π1(x)· ∇H1(x) = Π2(x)· ∇H2(x), x∈R3.

Remark 1. Let us observe that Π1 · ∇H2 = 0 and Π2 · ∇H1 = 0, so the functionH2 is a Casimir of the configuration (R3,{·,·}1) andH1 is a Casimir of the configuration (R3,{·,·}2).

(3)

The fact that the Poisson structures {·,·}1, {·,·}2 are compatible i.e.

a{·,·}1 +b{·,·}2 is a Poisson structure for all a, b ∈ R, helps us show that the system (1) may be realized as a Hamilton-Poisson system in an infinite number of different ways. More exactly, we can prove

Proposition 4. The system (1)has the following Hamilton-Poisson realiza- tions:

(R3ab, Hcd),

where Πab =aΠ1+bΠ2, Hcd =cH1−dH2 and a, b, c, d∈R, ac−bd= 1.

Remark 2. The function Cab ∈C(R3, R) given by Cab(x1, x2, x3) = a(1

2x21−x3) +b(x1x3− 1

2x22 −1 3x31) is a Casimir of the configuration (R3ab).

3.The system (1) like a multi-gradient system

Let H1, H2 ∈C(R3, R) be the first integrals of the system (1) given by (3) and (4). Then we have

Proposition 5. The system (1) can be written as a multi-gradient system

˙

x=S(x)· ∇H1(x)· ∇H2(x), x= (x1, x2, x3)∈R3, (7) where S is a completely skew symmetric 3−tensor.

Proof. If we take S =ijk (the Levi-Civita 3−tensor), then, a direct compu- tation shows us that

˙ xi =

3

X

j,k=1

Sijk∂H1(x)

∂xj

∂H2(x)

∂xk , i= 1,2,3, as required.

Let us now consider the discretization of the system (7) given by (see [3], [4]):

xn+1−xn

h =S(xe n, xn+1, h)· ∇H1(xn, xn+1)· ∇H2(xn, xn+1), (8) where the discrete gradients ∇H1,∇H2 are any solution of

H(xn+1)−H(xn) = (∇H)·(xn+1−xn)

∇H(xn, xn+1) = ∇H(xn) +O(h)

(4)

and Seis a completely skew symmetric 3−tensor that verifies S(xe n, xn+1, h) =S(xn) +O(h).

Choosing discrete gradients ∇H1, ∇H2 as follows:

∇H1(xn, xn+1) =

−1 3

(xn+11 )2+xn+11 xn1 + (xn1)2

+xn3,−1

2 xn+12 +xn2 , xn+11

,

∇H2(xn, xn+1) =

−1

2 xn+11 +xn1 ,0,1

and S(xe n, xn+1, h) =S(xn) we obtain, via (8), an explicit first order numer- ical integrator for the system (1), given by













xn+11 −xn1

h = 1

2 xn+12 +xn2 xn+12 −xn2

h = 1

6(xn+11 )2+ 1

6xn+11 xn1 − 1

3(xn1)2+xn3 xn+13 −xn3

h = 1

4 xn+11 +xn1

xn+12 +xn2

(9)

where h is the size step of the integrator.

Proposition 6. The integrator (9) preserves both the first integrals H1, H2 of the system (1).

Proof. Indeed, for i= 1,2 we have:

Hi(xn+11 , xn+12 , xn+13 )−Hi(xn1, xn2, xn3) =

=∇Hi(xn, xn+1)t·(xn+1−xn)

=h∇Hi(xn, xn+1)t·S(xe n, xn+1, h)· ∇H1(xn, xn+1)· ∇H2(xn, xn+1)

= 0, as required.

4.The system (1) and the midpoint rule The midpoint integrator for the system (1) is given by













xn+11 −xn1

h = 1

2 xn+12 +xn2 xn+12 −xn2

h = 1

2 xn+13 +xn3 xn+13 −xn3

h = 1

4 xn+11 +xn1

xn+12 +xn2 .

(10)

(5)

Then, we can prove

Proposition 7. The midpoint integrator (10) preserves the first integral H2 given by (4).

Remark 3. Let us observe that if we modify the midpoint rule as follows:













xn+11 −xn1

h = 1

2 xn+12 +xn2 xn+12 −xn2

h = 1

2 xn+13 +xn3 + ∆ xn+13 −xn3

h = 1

4 xn+11 +xn1

xn+12 +xn2 ,

where ∆ = 1

6(xn+11 )2 + 1

6xn+11 xn1 − 1

3(xn1)2 + 1

2xn3 − 1

2xn+13 , we obtain the integrator (9), that preserves both the first integrals H1, H2 of the system (1). The midpoint integrator lies on H2 = const. and with ∆ we ”drag” it on the phase curves of the system (1), the intersection of

x1x3− 1

2x22−1

3x31 =const.

with

x3− 1

2x21 =const.

Remark 4. Unfortunately, none of these integrators preserves the Poisson structures Π1, Π2 defined by (2), (6).

Next, using the midpoint rule, combined with splitting and composition methods, we construct an Poisson integrator for the system (1). Let us observe that the system (1) can be written as (see [5])

˙

x= (Π21(x) + Π22(x))· ∇H2(x), x∈R3, where

Π21 =

0 x1 0

−x1 0 x3−x21 0 x21−x3 0

, Π22=

0 0 x2

0 0 0

−x2 0 0

.

If ϕ1, ϕ2 are the midpoint integrators of the systems

˙

x= Π2i(x)· ∇H2(x), i= 1,2,

(6)

then, the splitting midpoint integrator ϕ =ϕ1◦ϕ2 is given by





xn+11 = xn1 +hxn2 +h2xn3 xn+12 = xn2 +hxn2

xn+13 = xn3 +hxn1xn2 +h2xn1xn3 +h3xn2xn3 + h2(xn2)2

2 +h4(xn3)2 2 ,

(11)

where h is the size step of the integrator. Now, we can prove

Proposition 9. The numerical integrator (11) has the following properties: (i) It preserves the Poisson structure Π1 given by (2).

(ii) It preserves the Casimir H2 of the configuration (R31) given by (4).

Proof. (i) A direct computation gives us

Dϕ(x)·Π1(x)·[Dϕ(x)]t= Π1(ϕ(x)), as required.

(ii) Indeed, via (11), we have H2(ϕ(xn1, xn2, xn3)) =H2(xn1, xn2, xn3).

Remark 5. In a similar manner we obtain a Poisson integrator for the Poisson structure Π2, given by (6).

References

[1] P. Birtea, M. Puta, On Ishii’s equation, C.R. Math. Acad. Sci. Paris, 341 (2005), 107-111.

[2] I. Dorfman, Dirac structures and Integrability of nonlinear evolution equations, John Wiley & Sons, Chichester, 1993.

[3] E. Hairer, C. Lubich and G. Wanner, Geometric numerical integration, Springer-Verlag, 2001.

[4] R. McLachlan, G.R.W. Quispel and N. Robidoux, Geometric integra- tion using discrete gradients, Philos. Trans. R. Soc. Lond. Ser. A, 357, (1999), 1021-1045.

[5] I. Mo¸s, An introduction to geometric mechanics, Cluj University Press, Cluj-Napoca, 2005.

Author:

Ionel Mo¸s

Department of Education Sciences West University of Timi¸soara

Address: Deva, 22 Decembrie, Bl. D1/5, Jud. HD e-mail:[email protected]

参照

関連したドキュメント

Farlow (1982): partial Differential Equations for Scientists and Engineering, John

Farlow (1982): partial Differential Equations for Scientists and Engineering, John Wiley &

Farlow (1982): partial Differential Equations for Scientists and Engineering, John Wiley &

R.: Digital Speckle Pattern Interferometry and Related Techniques, John Wiley & Sons, Ltd Press, Chichester (2001). 2) Masakazu,

The use of the Leray-Schauder nonlinear alternative theory in the study of the existence of solutions to boundary value problems for fractional differential equations with

Defect lattice mode (DL): The number of re-orientation reversal in- creases with increasing shear rate, and the director filed display a finite number of twist inversion walls

: Salt Weathering Hazards John Wiley&Sons Chichester 241 1997. 4 Huinink.H Pel.L and Kopinga.K.: Simulating the growth

Cosner, Spatial Ecology via Reaction-Diffusion Equations, Series in Mathematical and Computational Biology, John Wiley and Sons, Chichester, UK, 2003,..