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An approximate solution of the Blasius problem using spectral method

Zunera ShoukatDepartment of Mathematics, The Superior University, Lahore 54000, PakistanAzad A. SiddiquiSchool of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, PakistanMuhammad YaseenDepartment of Mathematics, Riphah International University Faisalabad Campus, Faisalabad 38000, PakistanM. Ijaz KhanDepartment of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University, Al-Khobar, Saudi ArabiaBarno Sayfutdinovna AbdullaevaDepartment of Mathematics and Information Technologies, Vice-Rector for Scientific Affairs, Tashkent State Pedagogical University, Tashkent, UzbekistanMuhammad WaqasDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, LebanonManish GuptaDivision of Research and Development, Lovely Professional University, Phagwara, India
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This paper aims at finding the numerical approximation of a classical Blasius flat plate problem using spectral collocation method. This technique is based on Chebyshev pseudospectral approach that involves the solution is approximated using Chebyshev polynomials, which are orthogonal polynomials defined on the interval [−1, 1]. The Chebyshev pseudospectral method employs Chebyshev- Gauss- Lobatto points, the extrema of the Chebyshev polynomials. The differential equation is approximated as a sum of Chebyshev polynomials. A differentiation matrix, based on these polynomials and their derivatives at the collocation points, transforms the differential equation into a system of algebraic equations. By evaluating the differential equation at these points and applying boundary conditions, the original boundary value problem reduced the solution to the solution of a system of algebraic equations. Solving for the coefficients of the polynomials yields the numerical approximation of the solution. The implementation of this method is carried out in Mathematica and its validity is ensured by comparing it with a built in MATLAB numerical routine called bvp4c.

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