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Partial Differential Equations - Lecture 1 Notes

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The aim of this course unit is to enable a student to: 1. Demonstrate an understanding of methods used to solve partial differential equations and their engineering areas of application, 2. Apply mathematical skills from partial differentiation to solve problems that require partial differentiation methods, 3. Appreciate the role of partial differentiation in solving problems that are related to science and engineering. At the end of this course unit, the student should be able to: 1. Apply partial differentiation methods to solve problems involving surfaces, curves and orthogonal trajectories of systems, 2. Solve partial differential equations for linear equations of the first order and second order, 3. Apply methods of separation of the variables to solve partial differential problems for Cartesian, spherical polar and cylindrical polar coordinates, 4. Solve partial differentiation problems that involve Laplace and Fourier transforms, 5. Apply partial differentiation concepts to solve problems that are related to science and engineering.

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SMA 2371: PARTIAL DIFFERENTIAL EQUATIONS
⃝Francis
c O. Ochieng


Department of Pure and Applied Mathematics
Jomo Kenyatta University of Agriculture and Technology


Course content
• Surfaces and curves in three dimensions. Simultaneous differential equations of the first order.
dx dy dz
Methods of solution of = = . Orthogonal trajectories of system of curves on a surface.
P Q R
• Linear partial differential equations of the first order.

• Partial differential equations of the second order: Laplace, Poisson, heat and wave equations.
Methods of the solution by separation of the variables for Cartesian, spherical polar and cylin-
drical polar coordinates, and by Laplace and Fourier transform.

• Applications to engineering.


References
[1] Elements of PDE by Ian N. Sneddon

[2] Advanced Engineering Mathematics (10th ed.) by Erwin Kreyszig

[3] Schaum’s Outline Series: Theory and problems of PDE


Lecture 1


1 Review of basic concepts
1.1 Partial differentials
Let u = u(x, y), where x = x(s, t) and y = y(s, t). The partial differential of u is defined by

∂u ∂u
∂u = ∂x + ∂y.
∂x ∂y
Therefore, the partial derivative of u with respect to s and t is defined by
∂u ∂u ∂x ∂u ∂y
= +
∂s ∂x ∂s ∂y ∂s
and
∂u ∂u ∂x ∂u ∂y
= + ,
∂t ∂x ∂t ∂y ∂t
respectively.

Example(s):




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