Understanding the Meaning and Definition of Green's Tensor

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SUMMARY

The Green's tensor represents the relationship between a point force and the resulting displacement field in infinite or semi-infinite regions. It is often referenced in elasticity and physics literature, where it may have similar implications. The term "Green's function" is more commonly used, which can also be a tensor. The Green's function serves as a solution to Poisson's equation, expressed mathematically as φ({\bf r}) = ∫ G({\bf r},{\bf r'})ρ([\bf r'})d^3 r'. This concept is essential in solving partial differential equations with delta-function sources.

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Researchers in mathematical physics, engineers working with elasticity, and students studying advanced differential equations will benefit from this discussion.

Mapes
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In my little area of recent research, the Green's tensor is the relationship between a point force and the resulting displacement field for an infinite or semi-infinite region. However, I occasionally see other references to the Green's tensor in the elasticity and physics literature, and I'm not sure whether it has a similar meaning there. So: what does the Green's tensor mean to you, and is there a useful all-encompassing definition?
 
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I have seen the term "Greens function" used more commonly. The GF can sometimes be a tensor, which is probably where you saw that used.
It got its name because its first application was by the amateur mathematician Green.
It is enormously useful. You could find more about it in many advancedltextbooks in math physics or EM.
As a brief general definition, try:
\phi({\bf r})=\int G({\bf r},{\bf r'})\rho([\bf r'})d^3 r'
as the solution to Posisson's equation.
 
Last edited:
Dear Mapes,

Don't be impressed or puzzled by this terminology. Basically speaking, a Green function / propagator is merely the solution of a (partial) differential equation with a delta-function right hand side (the source). It is useful to get the PDE solution with more complex source (delta-function is not physical, but this is a useful trick), and usually there is a convolution somewhere (hence your word tensor). I hope it helps a little.
 

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