×

\(n\)-dimensional differential transformation method for solving PDEs. (English) Zbl 1065.35011

Generalization of the differential transformation method [see C. K. Chen, S. H. Ho, Appl. Math. Comput. 79, 173–188 (1996; Zbl 0879.34077)] to the \(n\)-dimensional case is considered. The differential transform of the function \(w(x),\,(x\in D\subset\mathbb R^n)\) is defined as \(W(k)=\dfrac{1}{k!}\dfrac{\partial^{| k| }} {\partial x^k}w(x)\), where \(k=(k_1,\dotsc,k_n)\), and inverse transform is defined as \(w(x)=\sum_{k=0}^{\infty}W(k)x^k\). Some operations of the differential transform method are generalized too: Theorem 1 states that if \(w(x)=u(x)\cdot v(x)\), then \(W(k)=\sum_{\alpha=0}^{k} U(\alpha_1,k_2-\alpha_2,\dotsc,k_n- \alpha_n)V(k_1-\alpha_1, \alpha_2,\dotsc,\alpha_n)\). The application of the proposed method to solve some boundary and initial value problems is shown in three examples. One of these is the initial value problem to the nonlinear parabolic equation \(\alpha\partial u/\partial t +u\Delta u=0\), \(u(x,y,0)=x^2+y^2\).

MSC:

35A22 Transform methods (e.g., integral transforms) applied to PDEs
35C05 Solutions to PDEs in closed form
35K55 Nonlinear parabolic equations

Citations:

Zbl 0879.34077
PDF BibTeX XML Cite
Full Text: DOI

References:

[1] DOI: 10.1016/0096-3003(95)00253-7 · Zbl 0879.34077
[2] DOI: 10.1016/S0096-3003(98)10115-7 · Zbl 1028.35008
[3] DOI: 10.1016/S0096-3003(00)00123-5 · Zbl 1030.34028
[4] DOI: 10.1016/S0096-3003(99)00137-X · Zbl 1023.65065
[5] DOI: 10.1016/S0096-3003(01)00037-6 · Zbl 1026.34010
[6] DOI: 10.1016/S0096-3003(02)00368-5 · Zbl 1023.35005
[7] Hilderbrand BH, Advanced Calculus for Applications (1976)
[8] DOI: 10.1080/00207160310001597161 · Zbl 1045.65109
[9] DOI: 10.1080/0020716031000120809 · Zbl 1060.65078
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.