Stationary Solution to Reaction-Diffusion Eq w/ Boundary Conditions

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Homework Help Overview

The discussion revolves around finding the stationary solution to a reaction-diffusion equation, specifically \(\frac{\partial C}{\partial t}= \nabla^2C - kC\), under given boundary conditions. The boundary conditions include periodic conditions along the x-axis and no flux conditions at the top and bottom of a square domain.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation, Assumption checking

Approaches and Questions Raised

  • Participants explore the implications of the stationary state, with some attempting to separate variables and others questioning the nature of the boundary conditions. There is discussion about the periodicity in the x-direction and the implications of the no-flux conditions in the y-direction.

Discussion Status

The discussion is ongoing, with participants providing insights into the mathematical structure of the problem. Some have offered interpretations of the boundary conditions, while others are seeking clarification on specific aspects. There is a recognition of the complexity involved in incorporating the boundary conditions into the solution.

Contextual Notes

Participants note that the problem is set on a square domain of length L, with specific boundary conditions that include periodicity and fixed concentration at one boundary. There is an acknowledgment of the challenges posed by the non-homogeneous nature of the boundary value problem.

Signifier
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Homework Statement


What is the stationary (steady state) solution to the following reaction diffusion equation:

[tex] \frac{\partial C}{\partial t}= \nabla^2C - kC[/tex]

Subject to the boundary conditions C(x, y=0) = 1, C(x = 0, y) = C(x = L, y) (IE, periodic boundary conditions along the x-axis, the value at x=0 is the same as at x=L). Also, at y = 0 and y = L, [tex]\frac{\partial C}{\partial x} = \frac{\partial C}{\partial y} = 0[/tex].

Homework Equations



With

[tex]\frac{\partial C}{\partial t} = 0[/tex],

rearrange to:

[tex] \nabla^2C = kC[/tex]
...

The Attempt at a Solution



I believe I can solve this PDE without the boundary conditions, at least the one equation is satisified by a sum of hyberbolic sine or cosine functions. I have absolutely no idea how to incorporate the boundary conditions though. That they are periodic across x tells me that the solution should be symmetric about x = L / 2, but I have no mathematical reasons for this. I have never taking a PDE class before so I am a bit out of my element... any help would be very useful. I know that there IS an analytic solution with these constraints, but I haven't a clue what it is.
 
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Signifier said:

Homework Statement


What is the stationary (steady state) solution to the following reaction diffusion equation:

[tex] \frac{\partial C}{\partial t}= \nabla^2C - kC[/tex]

Subject to the boundary conditions C(x, y=0) = 1, C(x = 0, y) = C(x = L, y) (IE, periodic boundary conditions along the x-axis, the value at x=0 is the same as at x=L). Also, at y = 0 and y = L, [tex]\frac{\partial C}{\partial x} = \frac{\partial C}{\partial y} = 0[/tex].
Steady state implies that [tex]\frac{\partial C}{\partial t} = 0[/tex]
And so,
[tex]\frac{\partial ^2 C}{\partial x^2} + \frac{\partial ^2 C}{\partial y^2} = kC[/tex]

I do not understand the Dirichlet problem. Is this on a rectangle? Can you be more implicit with the boundary conditions?
 
As Kummer said, your "stationary solution" implies
[tex]\frac{\partial ^2 C}{\partial x^2} + \frac{\partial ^2 C}{\partial y^2} = kC[/tex]
Now "separate variables"- Let C= X(x)Y(y) so that the equation becomes
[tex]Y\frac{d^2X}{dx^2}+ X\frac{d^2Y}{dy^2}= kXY[/tex]
Divide by XY to get
[tex]\frac{1}{X}\frac{d^2X}{dx^2}+ \frac{1}{Y}\frac{d^2Y}{dy^2}= k[/tex]
In order that that be true for all x the two parts involving only X and only Y must be constants (other wise, by changing x but not y, we could change the first term but not the second- their sum could not remain the same constant, k). That is, we must have
[tex]\frac{1}{X}\frac{d^2X}{dx^2}= \lambda[/tex]
or
[tex]\frac{d^2X}{dx^2}= \lambda X[/tex]
and
[tex]\frac{1}{Y}\frac{dY^2}{dy^2}= k- \lambda[/tex]
or
[tex]\frac{d^2Y}{dx^2}= (k- \lambda )Y[/tex]

The general solution will be a sum of [itex]X(x,\lambda)Y(y,\lambda)[/itex] summed over all possible values of [itex]\lambda[/itex].

Can you see that, in order to satisfy periodic boundary conditions on the x-axis, [itex]\lambda[/itex] must be [itex]-2n\pi[/itex] for some integer n?
 
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HallsofIvy said:
The general solution will be a sum of [itex]X(x,\lambda)Y(y,\lambda)[/itex] summed over all possible values of [itex]\lambda[/itex].

Can you see that, in order to satisfy periodic boundary conditions on the x-axis, [itex]\lambda[/itex] must be [itex]-2n\pi[/itex] for some integer n?

1)What are the boundary conditions? I tried reading the post several times, I do not understand what they are?

2)Is it on a rectangle?
 
I am sorry to have not been more descriptive. I have not yet had time to digest HallsofIvy's response, which seems to be the most complete. To respond otherwise, though, the equation is being solved for the stationary state on a square of length/width L. The boundary conditions are: no flux at y = 0 or y = L (that is, top and bottom of square = no flux); periodic boundary conditions along x (that is, N(x = 0) = N(x = L)), and N = 1 along y = 0 (at the top of the square).

Thank you all; HallsofIvy, I will now proceed to consider what you've posted.
 
Signifier said:
and N = 1 along y = 0 (at the top of the square).
What is that supposed to mean?

Anyway, it seems to me this is a partial differential equations with a non-homogenous boundary value problem.

Which means you will have to solve for [tex]u_1(x,y)[/tex] so to satisfy:
[tex]\frac{\partial^2 u_1}{\partial x^2}+\frac{\partial^2 u_1}{\partial y^2} = 0 \mbox{ with }\left\{ \begin{array}{c}u_1(x,0)=u_1(L,y)=u_1(x,L)=0\\ u_1(0,y)=f(y) \end{array} \right.[/tex]

And then you need to solve for [tex]u_2(x,y)[/tex] so to satify:
[tex]\frac{\partial^2 u_2}{\partial x^2}+\frac{\partial^2 u_2}{\partial ^2 u_2}{\partial y^2}=0 \mbox{ with }\left\{ \begin{array}{c}u_2(x,0)=u_2(L,y)=u_2(x,0)=0\\u_2(L,y)=f(y) \end{array} \right.[/tex]

Then, [tex]u(x,y)=u_1(x,y)+u_2(x,y)[/tex] will be the solution to this equation.

But to solve for those two individually use the methods of separation of variables.
 
Kummer: N = 1 along y = 0 means: N(x, 0) = 1 (all of the points along the line at the top of the square, at y = 0, have unit concentration).

I will now consider your response... thank you.
 

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