Master Boundary Value Problems in Differential Equations โ Lecture 6.6 ๐
Explore the fundamentals of boundary value problems in differential equations with Lecture 6.6. Learn how these problems differ from initial value problems and their applications in modeling real-world systems.

Professor Macauley
22.9K views โข Jun 22, 2015

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Differential Equations, Lecture 6.6: Boundary value problems.
An initial value problem (IVP) is an ODE involving a function y(t) of time, with initial conditions. A boundary value problem (BVP) is an ODE involving a function y(x) of position, with boundary conditions. An example might be where y(x) measures the temperature of a rod, and the temperature at the endpoints is fixed. The theory of IVPs (existence and uniqueness of solutions) is well-understood, whereas BVPs are more mysterious. We give an 3 examples of an ODE with slightly different boundary conditions, yielding infinitely many, one, and no solutions, respectively. We conclude by solving a few variants of a classic BVP that will be very useful in our study of PDEs. In doing so, we revisit the hyperbolic trig functions: cosh and sinh.
Course webpage (with lecture notes, worksheets, etc.): http://www.math.clemson.edu/~macaule/math2080-online.html
An initial value problem (IVP) is an ODE involving a function y(t) of time, with initial conditions. A boundary value problem (BVP) is an ODE involving a function y(x) of position, with boundary conditions. An example might be where y(x) measures the temperature of a rod, and the temperature at the endpoints is fixed. The theory of IVPs (existence and uniqueness of solutions) is well-understood, whereas BVPs are more mysterious. We give an 3 examples of an ODE with slightly different boundary conditions, yielding infinitely many, one, and no solutions, respectively. We conclude by solving a few variants of a classic BVP that will be very useful in our study of PDEs. In doing so, we revisit the hyperbolic trig functions: cosh and sinh.
Course webpage (with lecture notes, worksheets, etc.): http://www.math.clemson.edu/~macaule/math2080-online.html
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Jun 22, 2015
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