Scaling Invariant, Non-Linear PDE

In summary, the nonlinear diffusion problem has the constraint and boundary conditions:\int_{\mathbb{R}} u(x,t)=1, u(\pm \inf, t)=0.Investigate the existence of scaling invariant solutions for the equation and then use the constraint condition to show that:u=t^{- \frac{1}{3}}y(z) and z=xt^{- \frac{1}{3}}.
  • #1
BrainHurts
102
0

Homework Statement


Consider the nonlinnear diffusion problem

[itex] u_t - (u_x)^2 + uu_{xx} = 0, x \in \mathbb{R} , t >0 [/itex]

with the constraint and boundary conditions

[itex] \int_{\mathbb{R}} u(x,t)=1, u(\pm \inf, t)=0[/itex]

Investigate the existence of scaling invariant solutions for the equation and then use the constraint condition to show that

[itex] u=t^{- \frac{1}{3}}y(z)[/itex] and [itex] z=xt^{- \frac{1}{3}} [/itex]

Homework Equations





The Attempt at a Solution



So this is what I did
Let
[itex] x = AX [/itex] and [itex] t = BT [/itex] and [itex] u=CU [/itex]

[itex] \frac{\partial}{\partial x} = \frac{1}{A} \frac{\partial}{\partial X} [/itex]

[itex] \frac{\partial^2}{\partial x^2} = \frac{1}{A^2} \frac{\partial^2}{\partial X^2} [/itex]

[itex] \frac{\partial}{\partial t} = \frac{1}{B} \frac{\partial}{\partial T} [/itex]

so

[itex] u_t = \frac{1}{B} \frac{\partial u}{\partial T} [/itex]

[itex] u_x = \frac{1}{A} \frac{\partial u}{\partial X} [/itex]

[itex] u_{xx} = \frac{1}{A^2} \frac{\partial^2 u}{\partial X^2} [/itex]

and

[itex] u_t - (u_x)^2 + uu_{xx} = 0 [/itex] becomes

[itex] u_T - \frac{B}{A^2} (u_X)^2 - \frac{BC}{A^2}uu_{XX} = 0 [/itex]

so if [itex] \frac{B}{A^2} = 1[/itex] and [itex] A = \lambda, then B = \lambda^2 [/itex]

and I want [itex] \frac{BC}{A^2} = 1[/itex] means [itex] C = 1 [/itex]

so a scaling invariant solution is [itex] u(\lambda x, \lambda^2 t) [/itex]

but I'm getting that [itex] z = \frac{x}{t^{\frac{1}{2}}} [/itex]

so I'm not really sure where the

[itex] z=xt^{- \frac{1}{3}} [/itex]
 
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  • #2
BrainHurts said:
[itex] u_T - \frac{B}{A^2} (u_X)^2 - \frac{BC}{A^2}uu_{XX} = 0 [/itex]
Do you mean [itex] U_T - \frac{B}{A^2} (U_X)^2 - \frac{BC}{A^2}UU_{XX} = 0 [/itex]? If so, I think you dropped a C or two, and reversed a sign.
 
  • #3
So I redid everything from the point

[itex] \frac{\partial}{\partial x} u = \frac{C}{A} \frac{\partial U}{\partial X} [/itex]

[itex] \frac{\partial^2}{\partial x^2} u = \frac{C^2}{A^2} \frac{\partial^2 U}{\partial X^2} [/itex]

[itex] \frac{\partial}{\partial t} u = \frac{C}{B} \frac{\partial U}{\partial T} [/itex]

so I get

[itex] \frac{\partial U}{\partial T} - \frac{CB}{A^2} (\frac{\partial U}{\partial X})^2 - \frac{C^2 B}{A^2}U \frac{\partial^2 U}{\partial X^2} = 0 [/itex]

so if I let [itex] A=\lambda [/itex] It'll follow that [itex] C=1, B = \lambda^2 [/itex]

so if I take [itex] \frac{x}{t^{\frac{1}{2}}} = \frac{\lambda X}{(\lambda^2 T)^\frac{1}{2}} = \frac{X}{T^{\frac{1}{2}}} [/itex]

So essentially I'm not seeing that [itex] z=xt^{\frac{-1}{3}} [/itex]

I see [itex] z=xt^{\frac{-1}{2}} [/itex]
 
  • #4
Sorry, I'm not familiar with this type of problem and I don't know what principles you're applying to find y and z. The OP says to use the constraint conditions for that part, but you don't appear to have done so.
If you like, I'll post on the Homework Helpers forum to see if someone else can help you.
 
  • #5
oh yes please do so, that'll be excellent, yes i haven't used the constraint conditions quite yet and to be quite honest I'm not quite sure on how to do so.
 
  • #6
BrainHurts said:
[itex] \frac{\partial^2}{\partial x^2} u = \frac{C^2}{A^2} \frac{\partial^2 U}{\partial X^2} [/itex]

Shouldn't C just be raised to the first power in the expression above?

Also, I think the constraint will yield a relation between A and C.
 
  • #7
TSny said:
Shouldn't C just be raised to the first power in the expression above?
Good catch - I missed that.
 
  • #8
TSny said:
Shouldn't C just be raised to the first power in the expression above?

Also, I think the constraint will yield a relation between A and C.

yup you're right, now let me see what I can do with this
 
  • #9
You seem to be on the right track, but it would be simpler to be a little clearer about how the scaling works. I would consider the scaling transformation

$$ t \rightarrow \lambda t , ~~ x \rightarrow \lambda^a x, ~~ u \rightarrow \lambda^b u.$$

You can use this to define your ##T,X,U## and it should be a bit clearer since you will get a pair of linear relationships between ##a## and ##b##.
 
  • #10
fzero said:
You seem to be on the right track, but it would be simpler to be a little clearer about how the scaling works. I would consider the scaling transformation

$$ t \rightarrow \lambda t , ~~ x \rightarrow \lambda^a x, ~~ u \rightarrow \lambda^b u.$$

You can use this to define your ##T,X,U## and it should be a bit clearer since you will get a pair of linear relationships between ##a## and ##b##.

hmm, I'm getting this

[itex] \lambda^{b-1}u_t - \lambda^{2b-2a} (u_x)^2 -\lambda^{b-2a}u_{xx} = 0 [/itex]

so we'll get a scaling invariant solution if

[itex] b-1 = 2b-2a = b-2a [/itex] correct?


I'm getting that [itex] a = - \frac{1}{2}, b = -2 [/itex]

so if i define [itex] z = \frac{\lambda^{\frac{-1}{2}} x}{(\lambda^{-2}t)^{(\frac{-1}{4})}} [/itex]
and we get that [itex] z = xt^\frac{-1}{4} [/itex]

I feel like I should use the constraint based on what TSny said

I mean if we have that [itex] \int_{\mathbb{R}} u(x,t) dx = 1 [/itex] I feel like it has something to do with

[itex] \int_{\mathbb{R}} CU(AX,BT) A dX = 1 [/itex]

any other thoughts?
 
  • #11
BrainHurts said:
[itex] b-1 = 2b-2a = b-2a [/itex] correct?
I'm getting that [itex] a = - \frac{1}{2}, b = -2 [/itex]
I get [itex] a = \frac{1}{2}, b = 0 [/itex]
 
  • #12
BrainHurts said:
hmm, I'm getting this

[itex] \lambda^{b-1}u_t - \lambda^{2b-2a} (u_x)^2 -\lambda^{b-2a}u_{xx} = 0 [/itex]

You missed a factor of ##u## in the last term.


I mean if we have that [itex] \int_{\mathbb{R}} u(x,t) dx = 1 [/itex] I feel like it has something to do with

[itex] \int_{\mathbb{R}} CU(AX,BT) A dX = 1 [/itex]

any other thoughts?

Yes, this gives a 2nd linear constraint on the scaling exponents.
 
  • #13
BrainHurts said:
I mean if we have that [itex] \int_{\mathbb{R}} u(x,t) dx = 1 [/itex] I feel like it has something to do with

[itex] \int_{\mathbb{R}} CU(AX,BT) A dX = 1 [/itex]

any other thoughts?

I could be wrong, but here is how I interpret [itex]u = CU[/itex]:

##u(x,t) = CU(X,T)## where ##x = AX## and ##t = CT##.

Then [itex] \int_{\mathbb{R}} u(x,t) dx =C\int_{\mathbb{R}} U(X,T) dx[/itex]

Now make the appropriate substitution for ##dx## and see what you get.
 
  • #14
ALRIGHT,

I wrestled with this problem but I did it both ways!

so sticking with it haruspex and TSny I got that

[itex] \frac{C}{B}U_T - \frac{C^2}{A^2}U_X - \frac{C^2}{A^2}UU_XX = 0 [/itex]

so if we divide everything by [itex] \frac{C}{B} [/itex] we'll get the equation

[itex]\frac{CB}{A} = 1[/itex]

using the constraint

[itex] \int_{\mathbb{R}} u(x,t)dx = \int_{\mathbb{R}} CU(AX,BT) AdX = 1 \Rightarrow CA = 1 \Rightarrow C = \frac{1}{A}[/itex]

plugging this back into

[itex] \frac{CB}{A} = 1 \Rightarrow \frac{B}{A^3} = 1 \Rightarrow B=A^3 [/itex]

letting [itex] A = \lambda [/itex] means [itex] B = \lambda^3 [/itex]

so if we let [itex] z = \frac{x}{t^{\frac{1}{3}}} = \frac{X}{T^{\frac{1}{3}}} [/itex]

similarly doing it your way fzero

i came up with

[itex] \lambda^{b-1} = \lambda^{2b-a} [/itex]

so [itex] b - 2a + 1 = 0 [/itex]

using the constraint I get that

[itex] \int_{\mathbb{R}} u(x,t)dx = \int_{\mathbb{R}} \lambda^b u(\lambda^a x, \lambda t) \lambda^a dX = 1 \Rightarrow \lambda^{b+a}= \lambda^0 \Rightarrow b = -a[/itex]

so

[itex]-a -2a +1 = 0 \Rightarrow 3a = 1 \Rightarrow a = \frac{1}{3} [/itex] and it follows that [itex]b = - \frac{1}{3} [/itex]

so using the same idea as above, I get the same result!
 
Last edited:
  • #15
BrainHurts said:
so if we divide everything by [itex] \frac{C}{B} [/itex] we'll get the equation

[itex]\frac{CB}{A} = 1[/itex]
...

plugging this back into

[itex] \frac{CB}{A} = 1 ...[/itex]

I think you just forgot to type the square on A: [itex]\frac{CB}{A^2} = 1[/itex]

Otherwise, it all looks good to me.
 
  • #16
TSny said:
I think you just forgot to type the square on A: [itex]\frac{CB}{A^2} = 1[/itex]

Otherwise, it all looks good to me.

yup it should be A2

nm i figured that part out and that was garbage.
 
Last edited:
  • #17
BrainHurts said:
yup it should be A2

so we have that

[itex] \frac{1}{A}U(AX,BT)=u(x,t) [/itex]

and this is o as [itex] x \rightarrow \pm ∞ [/itex]

not sure how this is going to help me get

[itex] u = t^{-1}{3} y(z) [/itex].

You found that the equation is homogenous with respect to the transformation

$$ t \rightarrow \lambda t , ~~ x \rightarrow \lambda^{1/3} x, ~~ u \rightarrow \lambda^{-1/3} u.$$

The combination ##z = x/t^{1/3}## is invariant, while ##u## scales like ##t^{-1/3}##. To understand what this means for the form of ##u##, imagine that we knew ##u(t,x)## and that it had a well-defined Taylor series at some point. This Taylor series would have to be of the form

$$ u(t,x) = \sum_{\alpha,\beta} c_{\alpha\beta} t^\alpha x^\beta.$$

However, ##u## has a definite scaling property, so each term in this series must also have the same scaling property. Can you work out what sort of constraint is placed on ##\alpha## and ##\beta##? This will lead you to an expression for the Taylor series of ##y(z)## and establish the above relation between ##u## and ##y##.
 

1. What is a scaling invariant, non-linear PDE?

A scaling invariant, non-linear PDE (partial differential equation) is a type of mathematical equation that describes the relationships between multiple variables and their rates of change. Scaling invariance means that the equation remains unchanged when all of the variables are multiplied by a constant factor. Non-linearity refers to the fact that the equation does not follow a straight line, but instead has curved or nonlinear relationships between the variables.

2. How is a scaling invariant, non-linear PDE different from a linear PDE?

A linear PDE follows a straight line relationship between variables, while a non-linear PDE has curved or nonlinear relationships. Additionally, a scaling invariant PDE remains unchanged when the variables are multiplied by a constant factor, while a non-scaling invariant PDE may change when the variables are scaled.

3. What are some real-world applications of scaling invariant, non-linear PDEs?

Scaling invariant, non-linear PDEs are used in many areas of science and engineering, including fluid dynamics, heat transfer, and population dynamics. They are also commonly used in finance and economics to model complex systems with multiple variables and relationships.

4. What are some techniques for solving scaling invariant, non-linear PDEs?

There are various techniques for solving scaling invariant, non-linear PDEs, including numerical methods such as finite difference, finite element, and spectral methods. Analytical solutions can also be obtained for some specific PDEs using techniques such as separation of variables, integral transforms, and Green's functions.

5. What are some challenges associated with solving scaling invariant, non-linear PDEs?

Solving scaling invariant, non-linear PDEs can be challenging due to their complex nature and the large number of variables involved. The non-linearity of these equations also means that there may not be a unique solution, and numerical methods may require a large amount of computation time and resources. Additionally, the presence of singularities or discontinuities in the solutions can make the problem even more difficult to solve.

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