Laplace equation with boundary condition

In summary: This should satisfy both the boundary conditions and Laplace equation. However, it may not be a unique solution.
  • #1
ACG_PhD
1
0
Good afternoon,

I am a PhD student in motions of damaged ships. I am trying to find a solution of Laplace equation inside a box with a set of boundary conditions such that:

2[itex]\phi[/itex]=0
[itex]\phi[/itex]x=1 when x=-A and x=A
[itex]\phi[/itex]y=0 when y=-B and y=B
[itex]\phi[/itex]z=0 when z=Ztop and z=Zbot


I have tried different solutions that look like
[itex]\phi[/itex]=x+Ʃ(cos(α(x+A))cos(β(y+B))cosh(γ(z-Ztop))

α=n*PI/A n=1...∞
β=m*PI/B m=1...∞
and α222

I can't find a solution that satisfy everything.
I either satisfy the boundary conditions or Laplace equation but not both.
The problem comes from the need to have a sinh(z)=0 for 2 values...
I can't figure out how to go around the problem.

Any advice would be really nice.

Thanks
Anne

PS: I have the three permutation to find [itex]\phi[/itex]x=1 then [itex]\phi[/itex]y=1 and [itex]\phi[/itex]z=1
I have the same problem in the three cases.
 
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  • #2
ACG_PhD said:
Good afternoon,

I am a PhD student in motions of damaged ships. I am trying to find a solution of Laplace equation inside a box with a set of boundary conditions such that:

2[itex]\phi[/itex]=0
[itex]\phi[/itex]x=1 when x=-A and x=A
[itex]\phi[/itex]y=0 when y=-B and y=B
[itex]\phi[/itex]z=0 when z=Ztop and z=Zbot


I have tried different solutions that look like
[itex]\phi[/itex]=x+Ʃ(cos(α(x+A))cos(β(y+B))cosh(γ(z-Ztop))

α=n*PI/A n=1...∞

β=m*PI/B m=1...∞
and α222

I can't find a solution that satisfy everything.
I either satisfy the boundary conditions or Laplace equation but not both.
The problem comes from the need to have a sinh(z)=0 for 2 values...
I can't figure out how to go around the problem.

Any advice would be really nice.

Thanks
Anne

PS: I have the three permutation to find [itex]\phi[/itex]x=1 then [itex]\phi[/itex]y=1 and [itex]\phi[/itex]z=1
I have the same problem in the three cases.

Try x+c as the solution
 

FAQ: Laplace equation with boundary condition

What is the Laplace equation with boundary condition?

The Laplace equation with boundary condition is a partial differential equation that describes the behavior of a physical system in terms of the relationships between the values of a function and its derivatives at different points in space.

What is the significance of the boundary condition in the Laplace equation?

The boundary condition is an essential component of the Laplace equation as it specifies the behavior of the system at the boundary of the region of interest. It helps to determine the unique solution to the equation and ensures that the solution is physically meaningful.

How is the Laplace equation with boundary condition solved?

The Laplace equation with boundary condition can be solved using various methods, including analytical techniques, numerical methods, and computer simulations. The most common analytical technique is separation of variables, while the most widely used numerical method is the finite difference method.

What are some real-life applications of the Laplace equation with boundary condition?

The Laplace equation with boundary condition has many practical applications in various fields of science and engineering, including heat transfer, fluid mechanics, electromagnetism, and quantum mechanics. It is used to model and analyze a wide range of physical phenomena, such as the flow of heat in a solid, the flow of electricity in a circuit, and the behavior of quantum systems.

What are some limitations of the Laplace equation with boundary condition?

While the Laplace equation with boundary condition is a powerful tool for modeling physical systems, it has some limitations. It is only valid for linear systems and cannot account for non-linearities in the system. Additionally, it assumes that the system is in a steady-state, meaning that the behavior of the system does not change over time. These limitations may restrict its use in certain applications.

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