Adomian’s decomposition method for eigenvalue problems
Yee-Mou Kao
1
and T. F. Jiang
2
1
Institute of Applied Mathematics, National Chiao-Tung University, Hsinchu 30010, Taiwan
2
Institute of Physics, National Chiao-Tung University, Hsinchu 30010, Taiwan
Received 10 September 2004; published 8 March 2005
We extend the Adomian’s decomposition method to work for the general eigenvalue problems, in addition to
the existing applications of the method to boundary and initial value problems with nonlinearity. We develop
the Hamiltonian inverse iteration method which will provide the ground state eigenvalue and the explicit form
eigenfunction within a few iterations. The method for finding the excited states is also proposed. We present a
space partition method for the case that the usual way of series expansion failed to converge.
DOI: 10.1103/PhysRevE.71.036702 PACS numbers: 02.70.Wz, 03.65.Ge
I. INTRODUCTION
Adomian’s method solves nonlinear differential equations
with decompositions. Neither linearization nor perturbation
is applied to the nonlinear part. The method has been widely
applied to various domains in science and engineering, but is
less popular in physics. Actually, in Chap. 14 of Adomian’s
comprehensive book 1, he treated many physical topics,
namely, the Navier-Stokes equations, onset of turbu-
lence, Burger’s equation, nonlinear transport, advection-
diffusion equation, Korteweg–de Vries equation, nonlinear
Schrödinger equation NLSE, and classical N-body dynam-
ics, etc. It shows that Adomian’s decomposition method
ADM is extremely versatile in nonlinear physical prob-
lems. For some other examples, Adomian and co-workers
also formulated the solutions for Thomas-Fermi equation 2
and the Ginzburg-Landau equation 3. Wazwaz employed
ADM to give the soliton and periodic solutions of the Bouss-
inesq equation 4. Abbaoui et al. discussed the convergence
of the ADM 5. Guellal et al. gave the ADM explicit solu-
tion of the Lorenz system 6.
The ADM is generally applicable to nonlinear differential
equations for either initial value problems or boundary prob-
lems. The basic theory is clearly described in Adomian’s
book 1. On the other hand, we are not able to find out
systematic treatment for the eigenvalue problems by ADM.
Since the eigenvalue problem is fundamentally important for
the structure of a system, the pursuit of ADM for the eigen-
value problem is a worthwhile work. It is, nevertheless, not
straightforward. Also, the ADM gives an explicit form of
solutions that the numerical grids method cannot do. Thus
the ADM treatment of the eigenvalue problem is valuable to
computational physics. In this paper, we develop the method
for solving the eigenvalue problems by ADM. We will
briefly describe the ADM first, and then present our method
for the eigenvalue problem. Some paradigmatic examples of
both linear and nonlinear eigenvalue equations are given.
The paper is organized as follows. In Sec. II, we introduce
the Hamiltomian inverse iteration scheme for the ADM of
eigenvalue problems. In Sec. III, we apply the method to the
problem of a particle in a box. In Sec. IV, the method is
applied to the simple harmonic oscillator. Section V is a
treatment of the anharmonic oscillator, and in Sec. VI, we try
to solve the nonlinear Gross-Pitaevskii equation that de-
scribes the Bose-Einstein condensate by the new scheme. We
find that the straightforward way of ADM failed to converge.
We introduce in Sec. VII the space partition method to over-
come the trouble of divergence encountered in the previous
section. Section VII is devoted to concluding remarks.
II. HAMILTONIAN INVERSE ITERATION
Consider the general eigenvalue problem
Hux = ux , 1
where
H = L + V„ux… . 2
L is usually a differential operator such as -1
2 d
2
/ dx
2
and V(ux) is the potential function, either dependent or
independent of ux. The former case is a linear problem
while the latter case is nonlinear and is called a nonlinear
Schrödinger equation. We describe the difficulty in the ADM
for eigenvalue problems first. Adomian wrote the solution as
the sum of decompositions
ux ; =
n=0
n
u
n
x . 3
Expand the potential V(ux ; ),
V„ux ; … =
n=0
n
A
n
; 4
here we introduce the parameter to collect the coefficients
of same order in both sides to find out the decompositions A
n
for a general V. The introduced is set equal to 1 at last.
Some examples of A
n
can be found in Ref. 1 and will not
be repeated here. Let L
-1
be the inverse operator of L. Op-
erating the L
-1
to Eq. 1, we have
L
-1
Lu = L
-1
u - L
-1
V . 5
The solution of decomposition orders are obtained system-
atically 1. That is,
PHYSICAL REVIEW E 71, 036702 2005
1539-3755/2005/713/0367027/$23.00 ©2005 The American Physical Society 036702-1