Heat equation and maximum principle

In summary, the question asks why u(x,t) is always greater than zero for all values of x and t. This can be explained through the strong maximum principle, which states that the maximum value of u(x,t) within the given conditions can only occur at the boundary or initial condition. Since θ(x) is positive, the maximum value of u(x,t) will also be positive. Additionally, the concavity of u(x,t) at this maximum point will be negative, and from the heat equation, we can see that u(x,t) will decrease over time. The strong maximum principle does not have a corresponding strong minimum principle, but by negating the boundary conditions and changing u(x,t) to -u(x,t),
  • #1
jolubaes
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Homework Statement


Suppose that u(x,t) satisfies the heat equation u_{t}=u_{x x} for 0<x<L and t>0 with initial condition u(x,0)=θ(x) and boundary conditions u(0,t)=u(L,t)=0. Suppose that θ(x)>0 for 0<x<L. Explain why u(x,t)>0 for all 0<x<L and t>0

Homework Equations


Strong Maximum principle: For nonconstant solutions to the heat equation, the maximum value of u(x,t) in the rectangle 0≤x≤L, 0≤t≤∞ can only occur for either x=0, x=L or t=0

Note: u_{x x} means doble partial derivative with respect x

The Attempt at a Solution


The maximum principle is telling us that the max value of u(x,t) should be in θ(x). Let's call the maxium value u_{max}. In this point the concavity should be negative, thus umax _{x x} < 0, and from the heat equation umax_{t} <0 telling us that the value of u will decrease in time ... but I just don't see why this can't go lower than zero... any help?
 
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  • #2
If there's a "Strong Maximum Principle" shouldn't there also be a "Strong Minimum Principle"? Think about negating your boundary conditions and changing u(x,t) to -u(x,t).
 

FAQ: Heat equation and maximum principle

What is the heat equation?

The heat equation is a mathematical model that describes the transfer of heat in a given region over time. It is a partial differential equation that takes into account factors such as temperature, thermal conductivity, and heat sources or sinks within the region.

What is the maximum principle in relation to the heat equation?

The maximum principle for the heat equation states that the maximum value of the temperature in a given region will always occur on the boundary or at the initial time. In other words, the temperature cannot exceed the boundary values or the initial temperature.

How is the maximum principle used in practical applications?

The maximum principle is used to analyze and solve problems related to heat transfer, such as determining the temperature distribution in a material or predicting the behavior of a system over time. It is also used to prove the stability and convergence of numerical methods for solving the heat equation.

What are the assumptions made in the heat equation and maximum principle?

The heat equation assumes that the material being studied is homogeneous, isotropic, and has a constant thermal conductivity. It also assumes that the temperature distribution is continuous and differentiable. The maximum principle assumes that there are no internal heat sources or sinks and that the temperature remains below a certain threshold to prevent thermal runaway.

Are there any limitations to using the heat equation and maximum principle?

Yes, there are limitations to using the heat equation and maximum principle. These methods may not be accurate for highly nonlinear or time-dependent systems. They also do not take into account factors such as convection or radiation, which can significantly affect heat transfer in certain situations.

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