Exploring Parabolic Behavior in PDE Systems: A Mathematical Analysis

In summary, using the method of separation of variables, we can demonstrate the parabolical behavior of the system without needing to establish a complicated matrix of coefficients.
  • #1
Clausius2
Science Advisor
Gold Member
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I am looking for an elegant way of demonstrating the parabolical behavior of the system:

[tex] \frac{\partial u}{\partial
x}+\frac{1}{r}\frac{\partial}{\partial r}(vr)=0
[/tex]

[tex] u\frac{\partial u}{\partial x}+v \frac{\partial
u}{\partial r}=\frac{1}{r}\frac{\partial}{\partial r}\Big(r
\frac{\partial u}{\partial r}\Big)
[/tex]

Any idea?. I have read some ways of doing so by establishing a complicated matrix of coefficients, but it is only valid for linear equations.

Thanks in Advance!
 
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  • #2
One way to demonstrate the parabolical nature of the system is to use the method of separation of variables. This involves expressing the equation as a product of functions with respect to each independent variable, i.e.,

u\frac{\partial u}{\partial x}+v \frac{\partial u}{\partial r}=\frac{1}{r}\frac{\partial}{\partial r}\Big(r \frac{\partial u}{\partial r}\Big)

= A(x)B(r).

By solving for each part of the equation, we can show that the solution is a parabolic function. For example, if we solve for A(x), we find that the solution is of the form A(x) = c1 + c2x, where c1 and c2 are constants. This means that the solution is a parabola in terms of x. Similarly, if we solve for B(r), we find that the solution is of the form B(r) = c3r^2 + c4r + c5, where c3, c4, and c5 are again constants. This also shows that the solution is a parabolic function in terms of r.
 
  • #3


Thank you for sharing your interest in exploring the parabolic behavior of PDE systems. There are indeed various ways to demonstrate this behavior, but one elegant approach is through the use of the heat equation. The heat equation is a well-known example of a parabolic PDE, and its solution exhibits parabolic behavior.

To demonstrate this, we can rewrite the given PDE in terms of the heat equation by introducing a new variable, t, and setting v = 1. This results in the following equation:

u_t = \frac{1}{r}\frac{\partial}{\partial r}\Big(r\frac{\partial u}{\partial r}\Big)

Now, let's consider the initial condition u(x,0) = f(x), where f(x) is a given function. This represents the initial temperature distribution in our system. We can then solve this PDE using separation of variables, assuming that u can be written as a product of functions of x and r, i.e. u(x,r) = X(x)R(r).

Plugging this into the PDE, we get:

X'R' = \frac{1}{r}\Big(rX''R + X'R'\Big)

Dividing both sides by XR, we get:

\frac{X''}{X} = \frac{R'}{rR}

This is a separated ODE, and its solution is well-known to be of the form X(x) = Ae^{ax} and R(r) = Br^{c}. Substituting these into our original solution, we get:

u(x,r) = \sum_{n=1}^{\infty} A_ne^{anx}B_nr^{cn}

Now, we can use the initial condition to find the coefficients A_n and B_n, which results in the following solution:

u(x,r) = \sum_{n=1}^{\infty} e^{-\lambda_n t} \Big( \int_{0}^{r} f(r')B_nr'^{cn+1} dr' \Big) \sin\Big(\frac{n\pi x}{L}\Big)

where \lambda_n = \frac{n^2 \pi^2}{L^2} is the eigenvalue and c = \frac{1}{2}.

From this solution, we can see that as t increases, the term e^{-\lambda_n t} decreases, resulting
 

1. What is a PDE system?

A PDE (partial differential equation) system is a type of mathematical model that describes the behavior of a physical system in terms of how its variables change with respect to multiple independent variables. It is commonly used in physics, engineering, and other scientific fields to study complex systems.

2. What does "parabolic behavior" refer to in this context?

In this context, "parabolic behavior" refers to the characteristics of a PDE system that exhibit a parabolic shape when graphed. This typically occurs when there is a dominant second-order derivative in the system, resulting in a curved shape that resembles a parabola.

3. How is exploring parabolic behavior in PDE systems useful?

Studying parabolic behavior in PDE systems allows us to better understand the underlying dynamics of complex systems and make predictions about their future behavior. This knowledge can be applied in various fields, such as physics, engineering, and economics, to solve real-world problems and improve our understanding of the natural world.

4. What are some common techniques used in mathematical analysis of PDE systems?

Some common techniques used in the mathematical analysis of PDE systems include separation of variables, Fourier series, Laplace transforms, and numerical methods such as finite difference and finite element methods. These methods allow us to solve PDE systems and analyze their behavior in a systematic and rigorous manner.

5. Can the results of studying parabolic behavior in PDE systems be applied to other types of systems?

Yes, the principles and techniques used in studying parabolic behavior in PDE systems can be applied to other types of systems as well. Many physical and natural phenomena can be described by PDEs, making the analysis of parabolic behavior relevant and applicable to a wide range of systems.

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