IVP prob involving convolutions

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In summary: To find the specific f that satisfies f = \bigcirc (|x|^{-(2+\epsilon)}) as |x| \rightarrow \infty, we need to ensure that the integral \frac{1}{2} \int_{-\infty}^{\infty} |x-y|f(y) dy converges, which can be done by choosing f to have compact support and belong to the space L^1(\mathbb{R}).
  • #1
fourier jr
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there's an example in the text that we're supposed to use to solve this problem. the example solves the ODE u" = f, & to find the fundamental solution F(x) we want to solve [tex]F"(x) = \delta (x)[/tex] where [tex]\delta (x)[/tex] is the Dirac delta function. the Heaviside function satisfies (H(x)+c)' = delta(x) for any c but for convenience use c = -1/2 & solve F(x) = 1/2 for x>0 or F(x) = -1/2 for x<0 & integrate to get the FUNDAMENTAL SOLUTION [tex]F(x) = \frac{1}{2}|x|[/tex]. assuming the function [tex]f \in L^1 (\mathbb{R})[/tex] has compact support then the integral [tex]\frac{1}{2} \int_{-\infty}^{\infty} |x-y|f(y) dy[/tex] converges and defines a solution of u" = f.

now to the problem:
a) use use the fundamental solution (above) to solve the initial value problem u" = f for x>0 with [tex]u(0) = u_0[/tex] and [tex]u'(0) = u'_0[/tex] where [tex]f \in C^{\infty}([0,\infty))[/tex] and [tex]f = \bigcirc (|x|^{-(2+\epsilon)}) [/tex] as [tex]|x| \rightarrow \infty[/tex]

i've used the convolution property that [tex]F' * f(0) = F * f'(0) = u'(0)[/tex] on [tex]u(x) = F * f(x) = \int_{\mathbb{R}^n} F(x-y)f(y) dy[/tex] to get [tex]u_0 = u(0) = F * f(0) = \frac{1}{2} \int_{-\infty}^{\infty} |y|f(y) dy[/tex] & [tex]u'_0 = u'(0) = F' * f(0) = \frac{1}{2} \int_{-\infty}^{\infty}f(y) dy[/tex] (since x>0) but not sure how to pick an f so that [tex]f = \bigcirc (|x|^{-(2+\epsilon)}) [/tex] as [tex]|x| \rightarrow \infty[/tex]
 
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  • #2
b) can someone please explain how to get the step-function (Heaviside) solution? The Heaviside function solution can be found by solving the ODE u" = f, with the initial conditions u(0) = u_0 and u'(0) = u'_0. To do this, we define the function H(x) = 0 for x<0 and H(x) = 1 for x>0, and then solve F"(x) = \delta (x) where \delta (x) is the Dirac delta function. We use c = -1/2 so that (H(x)+c)' = \delta(x), and then integrate to get the fundamental solution F(x) = \frac{1}{2}|x|. Then, we use the convolution property, F' * f(0) = F * f'(0) = u'(0) on u(x) = F * f(x) = \int_{\mathbb{R}^n} F(x-y)f(y) dy, to get u_0 = u(0) = F * f(0) = \frac{1}{2} \int_{-\infty}^{\infty} |y|f(y) dy & u'_0 = u'(0) = F' * f(0) = \frac{1}{2} \int_{-\infty}^{\infty}f(y) dy, thus giving us the step-function solution.
 
  • #3


The initial value problem given is u" = f with u(0) = u_0 and u'(0) = u'_0, where f is a smooth function and f = \bigcirc (|x|^{-(2+\epsilon)}) as |x| \rightarrow \infty. To solve this problem, we can use the fundamental solution F(x) = \frac{1}{2}|x| as given in the example in the text.

First, we can use the convolution property to find the solution u(x) = F * f(x) = \int_{\mathbb{R}^n} F(x-y)f(y) dy. This gives us u(x) = \frac{1}{2} \int_{-\infty}^{\infty} |x-y|f(y) dy.

Next, we can use the initial conditions to find the constants u_0 and u'_0. Using the convolution property again, we have u_0 = u(0) = F * f(0) = \frac{1}{2} \int_{-\infty}^{\infty} |y|f(y) dy and u'_0 = u'(0) = F' * f(0) = \frac{1}{2} \int_{-\infty}^{\infty}f(y) dy.

Now, we need to choose an appropriate f that satisfies the given condition f = \bigcirc (|x|^{-(2+\epsilon)}) as |x| \rightarrow \infty. This means that f must approach 0 faster than |x|^{-(2+\epsilon)} as |x| \rightarrow \infty. One possible choice could be f(x) = \frac{1}{x^{2+\epsilon}}.

Plugging this into the solution u(x) = \frac{1}{2} \int_{-\infty}^{\infty} |x-y|f(y) dy, we can see that the integral converges and defines a solution of u" = f. Therefore, we have successfully solved the initial value problem using the fundamental solution and an appropriate choice of f.
 

FAQ: IVP prob involving convolutions

What is IVP prob involving convolutions?

IVP prob involving convolutions is a mathematical problem that involves solving a differential equation with an initial value condition, using the method of convolutions. This method involves performing an integral operation on the solution of the initial value condition and the given differential equation.

What is the purpose of solving IVP prob involving convolutions?

The purpose of solving IVP prob involving convolutions is to find the solution of a differential equation that satisfies both the given differential equation and the given initial value condition. This allows us to understand the behavior of a system over time and make predictions based on the solution.

What are the steps involved in solving IVP prob involving convolutions?

The steps involved in solving IVP prob involving convolutions include finding the convolution integral, setting up the convolution equation, solving the integral, and finding the final solution using the initial value condition.

What are some applications of IVP prob involving convolutions?

IVP prob involving convolutions has various applications in physics, engineering, and other scientific fields. It is used to model and analyze systems that involve changing variables over time, such as heat transfer, fluid dynamics, and electrical circuits.

Is there a specific method for solving IVP prob involving convolutions?

Yes, the method of convolutions is a specific technique used to solve IVP prob involving convolutions. It involves using the convolution integral, which is a mathematical operation that combines the solution of the initial value condition and the given differential equation to find the final solution.

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