Apply Fourier Transform to Solve t2u_t-u_x=g(x)

In summary, to solve the given equation $t^2u_t-u_x=g(x)$ with initial condition $u(x,1)=0$, the Fourier transform can be applied by treating $t$ as a constant and differentiating under the integral sign. This results in the ODE $t^2\frac{\partial U}{\partial t} - i\omega U = F(g)$, where $U(\omega, t)$ is the Fourier transform of $u(x,t)$ with respect to $x$. A particular solution is needed to solve this ODE.
  • #1
Markov2
149
0
I need to apply Fourier transform to solve the following: $t^2u_t-u_x=g(x),$ $x\in\mathbb R,$ $t>0$ and $u(x,1)=0,$ $x\in\mathbb R.$
How do I apply the Fourier transform for $t^2u_t$ ?

Thanks!
 
Physics news on Phys.org
  • #2
インテグラルキラー;437 said:
I need to apply Fourier transform to solve the following: $t^2u_t-u_x=g(x),$ $x\in\mathbb R,$ $t>0$ and $u(x,1)=0,$ $x\in\mathbb R.$
How do I apply the Fourier transform for $t^2u_t$ ?

Thanks!

Take the Fourier transform with respect to $x$ then you simply treat $t$ as a constant.

$$ \int \limits_{-\infty}^{\infty} t^2 \frac{\partial u}{\partial t} e^{-i\omega x} dx = t^2 \frac{\partial }{\partial t}\int \limits_{-\infty}^{\infty} u(x,t) e^{-i\omega x} dx = t^2 \frac{\partial U}{\partial t}$$

Here we differenciated under the integral sign, and $U(\omega , t)$ is the notation for the Fourier transform of $u(x,t)$ with respect to $x$.
 
  • #3
Ah, then I have ${{t}^{2}}\dfrac{\partial U}{\partial t}-iwU=F(g)$ and I need to solve that ODE, first I need a particular solution.

Does this look right?
 
Last edited:
  • #4
Can anyone confirm this please?
 
  • #5


To apply the Fourier transform, we first define the Fourier transform of a function $f(x)$ as:

$\hat{f}(\xi) = \int_{-\infty}^{\infty} f(x)e^{-2\pi i \xi x}dx$

Applying this definition to our equation, we get:

$\hat{t^2u_t}(\xi) = \int_{-\infty}^{\infty} t^2u_t(x,t)e^{-2\pi i \xi x}dx$

Using the product rule for differentiation, we can rewrite this as:

$\hat{t^2u_t}(\xi) = \int_{-\infty}^{\infty} t^2e^{-2\pi i \xi x}\frac{\partial u}{\partial t}(x,t)dx$

Now, we can use integration by parts to further simplify this expression. Letting $v = t^2e^{-2\pi i \xi x}$ and $u = \frac{\partial u}{\partial t}(x,t)$, we get:

$\hat{t^2u_t}(\xi) = \left[ t^2e^{-2\pi i \xi x}\frac{\partial u}{\partial t}(x,t) \right]_{-\infty}^{\infty} - \int_{-\infty}^{\infty} \frac{\partial}{\partial t}\left( t^2e^{-2\pi i \xi x} \right)\frac{\partial u}{\partial x}(x,t)dx$

Since we are given that $u(x,1) = 0$, the first term in the above expression is zero. We can also rewrite the second term using the Fourier transform of $\frac{\partial u}{\partial x}(x,t)$:

$\hat{t^2u_t}(\xi) = -\int_{-\infty}^{\infty} \frac{\partial}{\partial t}\left( t^2e^{-2\pi i \xi x} \right)\frac{\partial}{\partial x}\hat{u}(\xi)e^{2\pi i \xi x}dx$

Substituting this into our original equation, we get:

$-\int_{-\infty}^{\infty} \frac{\partial}{\partial
 

FAQ: Apply Fourier Transform to Solve t2u_t-u_x=g(x)

What is the Fourier Transform?

The Fourier Transform is a mathematical tool used to decompose a function into its individual frequency components. It is often used in signal processing, image processing, and solving differential equations.

How is the Fourier Transform applied to solve t2u_t-u_x=g(x)?

The Fourier Transform is applied to this equation by taking the transform of both the left and right sides. This results in a new equation in terms of the transformed variables. Solving this new equation will give the solution to the original equation.

Why is the Fourier Transform useful in solving this equation?

The Fourier Transform is useful in solving this equation because it allows us to convert a differential equation into an algebraic equation, which is often easier to solve. It also allows us to break down the equation into individual frequency components, making it easier to analyze and understand.

What are some practical applications of using Fourier Transform to solve differential equations?

Some practical applications of using Fourier Transform to solve differential equations include solving heat and wave equations, analyzing and processing signals in communication systems, and solving problems in quantum mechanics.

Are there any limitations to using the Fourier Transform to solve differential equations?

Yes, there are some limitations to using the Fourier Transform. It can only be applied to linear differential equations with constant coefficients. It also assumes that the function is periodic, which may not always be the case in real-world applications. Additionally, the Fourier Transform may not always give an exact solution and may require further analysis or approximations.

Similar threads

Back
Top