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Biswajit Pandit
Biswajit Pandit
Iit patna

Public Documents 2
An iterative method to compute dual solutions on a class of nonlinear higher order SB...
Biswajit Pandit
Amit Verma

Biswajit Pandit

and 2 more

March 30, 2022
In this work, we focus on the following non-linear fourth order SBVP \begin{eqnarray} \nonumber \frac{1}{r}\left[ r \left\lbrace \frac{1}{r} \left(r \phi’ \right)^{’} \right\rbrace^{’}\right]^{’}=\frac{\phi’ \phi’‘}{r}+\lambda, \end{eqnarray} where $\lambda$ is a parameter. We convert this non-linear differential equation into third order non-linear differential equation, which is given by \begin{eqnarray} \nonumber \frac{1}{r}\left[ r \left\lbrace \frac{1}{r} \left(r y \right)^{’} \right\rbrace^{’}\right]^{’}=\frac{y y’}{r}+\lambda. \end{eqnarray} The problem is singular, non self adjoint, nonlinear. Moreover, depending upon $\lambda$, it admits multiple solutions. Hence, it is too difficult to capture these solutions by any discrete method such as finite difference etc. Here we propose an iterative technique by using homotopy perturbation method (HPM) with the help of variational iteration method (VIM) in a suitable way. We compute these solutions numerically. Convergence of this series solution is studied in a novel way. For small positive values of $\lambda$, singular BVP has two solutions while solutions can not be found for large positive values of $\lambda$. Furthermore, we also find dual solutions for $\lambda <0$.
Taylor Series Solution of Some Real Life Problems: ODEs & PDEs
Lajja Verma
Biswajit Pandit

Lajja Verma

and 2 more

November 25, 2020
Recently He et al. \cite{He2019} derived an analytical solution of the system of Lane-Emden equations by using the Taylor series method and computed a closed-form solution of the system of Lane-Emden equations subject to given initial conditions. In this work, this method is further explored and extended to a class of nonlinear ODEs, PDEs, a system of Nonlinear ODEs and PDEs subject to certain Initial conditions and boundary conditions. In some cases, we could find exact solutions and if that is not possible then we compute approximate solutions. We have compared these solutions with other existing techniques and showed that the method is simple and superior to other existing iterative techniques. We have also provided Mathematica codes which user may find useful and can compute solutions as per their need.

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