THE DIRECT-PERTURBATION METHOD VERSUS THE DISCRETIZATION-PERTURBATION METHOD: LINEAR SYSTEMS
โ Scribed by M. Pakdemirli; H. Boyaci
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 209 KB
- Volume
- 199
- Category
- Article
- ISSN
- 0022-460X
No coin nor oath required. For personal study only.
โฆ Synopsis
Vibrations of continuous systems are modelled in the form of a partial differential equation system. In seeking approximate analytical solutions of these systems, one common choice is to discretize the partial differential equation system and then to apply perturbation methods to the resulting ordinary differential system (the discretization-perturbation method). An alternative approach is to seek approximate solutions of the original partial differential system. In this approach, perturbation methods are applied directly to the partial differential system (the direct-perturbation method). Comparisons of these two methods have appeared in the literature for various mathematical models [1][2][3][4][5][6][7]. Some of the work has addressed the comparisons for finite mode truncations [1-4] and some others for infinite modes [4][5][6][7]. It is shown that, while both methods produce identical results for infinite number of modes, the direct-perturbation method produces more accurate results for finite mode truncations. This is because the spatial functions appearing at higher orders of approximation represent the real system better in the case of the direct-perturbation method. It is shown that [5], for finite mode truncations, the spatial functions are the converged functions obtained by using the infinite series of eigenfunctions calculated at the first level of approximation. However, for the discretization-perturbation method, the spatial functions appearing at higher orders of approximations are only approximate, reducing the accuracy of the overall system.
In all of the previous work [1-7], comparisons have been made for non-linear systems, especially for systems having quadratic and cubic non-linearities. No discussions are presented for linear systems. This may lead one to conclude that the differences in results occur due to the non-linearities. However, such a conclusion would be wrong. Differences in results arise even for linear systems. As an illustration, we present here a case of a linear parametrically excited system. Instead of treating a specific problem, the formalism given in references [2] and [5] is followed and solutions are presented for arbitrary spatial operators. The algorithms developed are then applied to a specific problem. Differences in results occur if a higher order perturbation scheme is employed and if the boundary value problems appearing at higher orders of approximations yield different solutions in the case of direct treatment.
It is to be noted that results of the discretization-perturbation method would converge to those of the direct-perturbation method if the number of modes taken into consideration
๐ SIMILAR VOLUMES
An efficient method for the determination of the eigenvalues and eigenvectors of lightly damped systems is developed by means of a perturbation technique. The second order matrix differential equation containing mass, stiffness and damping matrices is normally transformed into a first-order state eq
In this work, we investigate the linear and the nonlinear Goursat problems. The solution of the Goursat problem is presented by means of the homotopy perturbation method (HPM). The application of HPM to this problem shows the rapid convergence of the sequence constructed by this method to the exact
When a discrete random variable in a discrete space is asymptotically Poisson, there is often a powerful method of estimating its distribution, by calculating the ratio of the probabilities of adjacent values of the variable. The versatility of this method is demonstrated by finding asymptotically t
A solution of motion defined by a Hamiltonian function x = %(q\* , P!J + 1 ~"Kdqk, , Plc ; 0 k = 1, 2,..., N n=\* of a system in time-dependent fields, is found by the use of power series expansions in a perturbation parameter. The solution is in the form of 2N independent integrals of motion, the p