Proving Decreasing and Convex Energy in Heat Equation with Neumann Conditions

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In summary, the conversation discusses how to show that the energy E(t) in a heat equation problem is decreasing and convex, and how to prove that u(x,t) approaches a constant as t->infinity. The suggested method involves using separation of variables and Fourier series, but it is shown that this is not always applicable. Instead, integration by parts is used to differentiate the energy equation with respect to time, showing that E(t) is decreasing. It is also mentioned that E(t) is bounded below, leading to the conclusion that u(x,t) approaches a constant as t->infinity.
  • #1
coverband
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Suppose that u satisfies the heat equation [tex]u_t = u_x_x[/tex] on the unit interval [0,1] subject
to Neumann conditions [tex]u_x(0,t) = u_x(1,t) = 0[/tex]. Show that the energy
[tex]E(t) =\int_{0}^{1}u(x,t)^2dx[/tex] is decreasing and convex. Show also that u(x,t) approaches a constant as
[tex]t\rightarrow\infty[/tex]
.

attempt at solution:


Separation of variables (!?): X=Acoskx+Bsinkx.
Sub in Neumann conditions: X=ACosnπx
...T=exp(-n^2π^2t^2)
Combine linearly: [tex]u=E_0+ \sum_{n=1}^\infty[/tex] E_n e^(-n^2π^2t^2) Cosnπx
Therefore E(t)=[tex]\int_{0}^{1}(E_0+ \sum_{n=1}^\infty E_n exp^(-n^2\pi^2t^2) Cosn\pi x)^2dx[/tex]
Therefore E(t)=[tex]\int_{0}^{1}(E_0)^2+(\sum_{n=1}^\infty E_n exp^(-n^2\pi^2t^2) Cosn\pi x)^2dx[/tex]
Therefore [tex]E(t)=F_0+\frac{1}{2}\sum_{n=1}^\infty E_n exp^(-2n^2\pi^2t^2) [/tex]
...
Apparently this is wrong. Using separation of variables and Fourier series is not OK for all initial data. Can you come up with an argument that does not involve solving the problem explicitly? I was told as a hint, to start with the formula for energy and differentiate it directly with respect to t and then try to show that the derivative is negative (integration by parts should help here)...What!? Perhaps EXPLAIN this suggestion. Thanks
 
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  • #2
It means what it says. Find dE/dt by differentiating inside the integral. Now use the heat equation to swap the time derivative of u for a double x derivative of u. Integrate by parts... Just try it.
 
  • #3
Thats very helpful. Thank you. However, I am left with

[tex]\int_{0}^{1}u(x,y)\frac{\delta^2u}{\delta x^2}dx[/tex]

How on Earth do you solve this !?
 
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  • #4
d(u_x)=u_xx*dx. Pick your 'parts' to be u_x(x,t) and u(x,t).
 
  • #5
Hi Dick. I'm really appreciative of your time. You have been a great help so far.

Dick said:
d(u_x)=u_xx*dx. Pick your 'parts' to be u_x(x,t) and u(x,t).

I was under the impression that integration by parts was only used when a direct substituion for the parts (u, dv) was used ... taken directly from the given equation.

Is what you have just suggested now not int by substitution?
 
  • #6
coverband said:
Hi Dick. I'm really appreciative of your time. You have been a great help so far.



I was under the impression that integration by parts was only used when a direct substituion for the parts (u, dv) was used ... taken directly from the given equation.

Is what you have just suggested now not int by substitution?

Well, no, it's parts. u*dv=d(u*v)-v*du with u=u(x,t) and v=u_x(x,t). You are going to get a boundary term u*u_x evaluated between 0 and 1.
 
  • #7
Dick said:
Well, no, it's parts. u*dv=d(u*v)-v*du with u=u(x,t) and v=u_x(x,t). You are going to get a boundary term u*u_x evaluated between 0 and 1.

Slow and steady wins the race! Again, very informative.

I am left with [tex] [u\frac{\delta u}{\delta x} ]_{0}^{1} - \int_{0}^{1} \frac{\delta u}{\delta x}du [/tex].

As you rightly stated I am left with a boundary term u*u_x evaluated between 0 and 1. Can anything be done with the [tex] \int_{0}^{1} \frac{\delta u}{\delta x}du [/tex] !?

or have i done it wqrong and last term should be [tex] \int_{0}^{1} [\frac{\delta u}{\delta x}]^2dx [/tex] ?

Either way what is the name of this section of maths we are dealing with so i can look it up
 
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  • #8
They are both right. Like I said it's integration by parts. The final integral is u_x*du=u_x*u_x*dx. And there's not much to do with the integral of the square except notice that it's nonnegative.
 
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  • #9
So [tex] E(t)= [u\frac{\delta u}{\delta x} ]_{0}^{1} - \int_{0}^{1} \frac{\delta u}{\delta x}du [/tex] is the final answer? Does this prove energy convex and decreasing? How show u approaches const. as [tex]t \rightarrow \infty [/tex] ?
 
  • #10
i) That's not E(t), it's dE(t)/dt. ii) Evaluate the boundary term. iii) Tell me why the integral is positive. Now tell me something about E(t).
 
  • #11
Ok, so when the boundary conditions are applied [tex] dE(t)/dt= - \int \int_{0}^{1} \frac{\delta u}{\delta x}du dt[/tex] Now what? Because rate of change of energy is minus this implies energy decreasing? What of u approaching const as [tex]t \rightarrow \infty[/tex] ?
 
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  • #12
There's no dt in the integral. Go back and remember how you got here. You differentiated with respect to time first. That's why it is dE/dt. And yes, that's negative because the integral can be written as the integral of a square. What square?
 
  • #13
So [tex] E(t)= -2 \int \int_{0}^{1} [\frac{\delta u}{\delta x}]^2dx dt[/tex] Now what!?
 
  • #14
Write it as dE/dt equals the negative of the dx integral, you dropped the minus sign. Forget the dt integral. Doesn't that tell you E is decreasing? Is E bounded below?
 
  • #15
Ok so [tex] dE(t)/dt= -2 \int_{0}^{1} [\frac{\delta u}{\delta x}]^2 dx [/tex] proves energy convex and decreasing. How show u approaches const. as [tex]t \rightarrow \infty [/tex] ?

(Thanks a million by the way)
 
  • #16
Well, it does prove E(t) is decreasing. It doesn't prove it's convex. To show it's convex you need E''(t)>=0. You might guess you'd do it in a similar way that you showed E'(t)<=0. But just knowing that E(t) is decreasing and bounded below (why is it bounded below?), tells you E(t) approaches a constant as t->infinity, right? What does that tell you about E'(t) as t->infinity?
 

FAQ: Proving Decreasing and Convex Energy in Heat Equation with Neumann Conditions

What is the heat equation?

The heat equation is a mathematical model that describes the distribution of heat or thermal energy in a given system over time. It is a partial differential equation that relates the change in temperature to the flow of heat within the system.

What is thermal energy?

Thermal energy is a form of energy that is associated with the motion of particles within a substance. It is a type of kinetic energy that is related to the temperature of a system and is responsible for the sensation of warmth or heat.

How is the heat equation used in science?

The heat equation is used in various fields of science, such as physics, engineering, and meteorology, to model and predict the behavior of thermal energy in different systems. It is also used to solve various heat transfer problems, including conduction, convection, and radiation.

What are the boundary conditions of the heat equation?

The boundary conditions of the heat equation refer to the conditions that must be specified at the boundaries of a system in order to solve the equation. These include the initial temperature distribution, the thermal conductivity of the material, and the heat flux at the boundaries.

What are some real-life applications of the heat equation?

The heat equation has many practical applications, such as predicting the temperature distribution in buildings, designing heating and cooling systems, analyzing heat transfer in electronics, and understanding weather patterns. It is also used in medical imaging techniques, such as MRI, to model the distribution of thermal energy in tissues.

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