What is the meaning of LaPlace and Poisson's equation in English?

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Discussion Overview

The discussion revolves around the meanings and implications of Laplace's and Poisson's equations, particularly in the context of their mathematical formulations and physical interpretations. Participants seek to clarify these concepts in English, exploring their significance in various dimensions and applications.

Discussion Character

  • Conceptual clarification
  • Technical explanation
  • Exploratory

Main Points Raised

  • One participant explains that the gradient of a scalar function indicates the direction of maximum increase, while the divergence of a vector field at a point suggests the presence of a source or sink.
  • Another participant notes that in one dimension, if the Laplacian is zero, the slope is constant, implying that local maxima can only occur at the boundaries of the region, and generalizes this to higher dimensions.
  • It is suggested that when the Laplacian is not zero in Poisson's equation, it indicates sources of the function, where maxima or "peaks" can occur.
  • A further contribution relates the concept of Laplace's equation to the idea of equilibrium in a physical system, using temperature as an analogy where zero net heat flux indicates equilibrium.

Areas of Agreement / Disagreement

Participants express similar views on the implications of Laplace's and Poisson's equations, particularly regarding local maxima and equilibrium concepts. However, there is no explicit consensus on the interpretations or applications of these equations, and some uncertainty remains about their broader implications.

Contextual Notes

Participants reference the divergence theorem and the relationship between Laplace's equation and harmonic functions, indicating a connection to boundary value problems, but do not resolve the complexities involved in these relationships.

yungman
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\nabla^2 V = \nabla \cdot \nabla V.

Let me first break this down in English from my understanding:

\nabla V is the gradient of a scalar function V. \nabla V is a vector field at each point P where the vector points to the direction the maximum rate of increase and |\nabla V| is the value of the slope.


\nabla \cdot \vec{A} at a point P is the divergence of \vec{A} at point P. If \nabla \cdot \vec{A} at a point P is not zero, there must be a source or sink because the inflow to point P is not equal to the outflow from point P.


So what is the meaning of the divergence of a gradient (\nabla^2 V = \nabla \cdot \nabla V)?

What is the meaning of Laplace equation where \nabla^2 V = 0?

What is the meaning of Poisson's equation where \nabla^2 V = some function?

Please explain to me in English. I know all the formulas already, I just want to put the formulas into context.

Thanks

Alan
 
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Well, in 1D, if the Laplacian is zero over some region, that means that the slope is constant. This means that the function cannot have a local maximum anywhere in the region, and the maximum can only occur at the boundary of the region. Generalizing this to higher dimensions, the same thing holds. If the Laplacian is zero, the function cannot have a local maximum anywhere in the region, and the maxima or minima cann only occur on the boundaries of the region. Although it doesn't mean that the slope is constant, it does define in some sense that the function is "smooth" and has no "kinks" or "peaks". If we go now to Poisson's equation, the places where the Laplacian is not zero are the sources of the function, and in these regions the function can have maxima ("peaks" or "kinks"). I'm not sure if this helps or not. You might try this:

http://en.wikipedia.org/wiki/Harmonic_function
 
phyzguy said:
Well, in 1D, if the Laplacian is zero over some region, that means that the slope is constant. This means that the function cannot have a local maximum anywhere in the region, and the maximum can only occur at the boundary of the region. Generalizing this to higher dimensions, the same thing holds. If the Laplacian is zero, the function cannot have a local maximum anywhere in the region, and the maxima or minima cann only occur on the boundaries of the region. Although it doesn't mean that the slope is constant, it does define in some sense that the function is "smooth" and has no "kinks" or "peaks". If we go now to Poisson's equation, the places where the Laplacian is not zero are the sources of the function, and in these regions the function can have maxima ("peaks" or "kinks"). I'm not sure if this helps or not. You might try this:

http://en.wikipedia.org/wiki/Harmonic_function

Thanks for the reply and remind me about Harmonic function is Laplace equation and the value can be found by knowing the value of the function on the boundary. I had studied this in the Green's function but just not relate to Poisson's and Laplace equation.
 
A similar definition to the one that phyzguy gave:

In a 2D (or 3D) domain if ΔV=0 then the integral of ΔV in the entire domain is also zero. Using the divergence theorem, you get that the surface integral of the normal vector dot the gradient of V is zero. This means that the net flux is zero => equilibrium

To better understand the above statement, replace V with T (temperature). Then the gradient of T is the heat flux. If you have a system where the net heat flux is zero, the system is in equilibrium.
 

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