Proving convexity for linear parabolic PDE

In summary: Therefore, in summary, the equation is parabolic with $\frac{\partial^2 f}{\partial x^2} > 0$, $\frac{\partial f}{\partial x} < 0$, and $\frac{\partial^3f}{\partial x^3} < 0$.
  • #1
emfert
1
0
I have a parabolic PDE of the form [tex]a\frac{\partial^2 f}{\partial x^2} - b\frac{\partial f}{\partial x} + \frac{\partial f}{\partial t} = 0[/tex], where [tex](x,t) \in (-\infty, \infty) \times [0, T][/tex]. In addition, [itex]\lim_{x \to \infty} f(x,t) = 0[/itex], [itex]\lim_{x\to -\infty} = k[/itex] (a known positive constant), and [itex]f(x,T) = \psi(x)[/itex] where [itex]\frac{d\psi}{dx}<0[/itex], [itex]\frac{d^2\psi}{dx^2}>0[/itex], and [itex]\frac{d^3\psi}{dx^3}<0[/itex]. Further, [itex]b \geq a > 0[/itex].

I'm pretty convinced that [itex]\frac{\partial^2 f}{\partial x^2} > 0[/itex] and [itex]\frac{\partial^3f}{\partial x^3} < 0[/itex] but I don't know how to prove it. I'd appreciate any ideas.
 
Physics news on Phys.org
  • #2
Since the equation is parabolic, it follows that $\frac{\partial^2 f}{\partial x^2} > 0$. This can be shown by considering the sign of the second derivative test. For this to hold, we also need to show that $\frac{\partial f}{\partial x} < 0$. This follows from the boundary conditions given at $x = - \infty$ and $x = \infty$. Since $\lim_{x \to \infty} f(x,t) = 0$ and $\lim_{x \to -\infty} f(x,t) = k$, where $k$ is a known positive constant, it follows that $\frac{\partial f}{\partial x} < 0$. To show that $\frac{\partial^3f}{\partial x^3} < 0$, we can use the given boundary conditions. From the given boundary conditions, it follows that $\frac{d\psi}{dx} < 0$ and $\frac{d^2\psi}{dx^2} > 0$. This implies that $\frac{\partial^3f}{\partial x^3}$ is negative near the boundaries and thus, must be negative throughout.
 

1. What is a linear parabolic PDE?

A linear parabolic PDE (partial differential equation) is a type of differential equation that involves both time and space variables. It is typically used to model physical phenomena that change over time, such as heat transfer or diffusion.

2. Why is it important to prove convexity for linear parabolic PDEs?

Proving convexity for a linear parabolic PDE is important because it guarantees the existence and uniqueness of a solution. It also ensures that the solution will behave in a stable and predictable manner, which is crucial for accurate modeling and analysis.

3. How is convexity defined for linear parabolic PDEs?

Convexity for a linear parabolic PDE is defined as the function being strictly convex with respect to the solution variable. This means that the second derivative of the solution with respect to the solution variable is positive, indicating a concave-downward shape.

4. What techniques are commonly used to prove convexity for linear parabolic PDEs?

The most common technique used to prove convexity for linear parabolic PDEs is the maximum principle, which states that the maximum value of the solution must occur on the boundary of the domain. Other techniques include the comparison principle and the variational approach.

5. Are there any challenges or limitations to proving convexity for linear parabolic PDEs?

One challenge in proving convexity for linear parabolic PDEs is identifying the appropriate boundary conditions and domain restrictions that ensure convexity. Additionally, some PDEs may not have a unique solution or may not be convex for all possible solutions, making it difficult to prove convexity in these cases.

Similar threads

  • Differential Equations
Replies
3
Views
368
Replies
5
Views
1K
  • Differential Equations
Replies
3
Views
2K
Replies
4
Views
1K
  • Differential Equations
Replies
3
Views
1K
  • Differential Equations
Replies
4
Views
634
  • Differential Equations
Replies
5
Views
2K
  • Differential Equations
Replies
3
Views
1K
  • Differential Equations
Replies
0
Views
114
Replies
2
Views
1K
Back
Top