What are the effects of higher derivatives in the slow-motion approach?

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The discussion centers on the implications of higher derivatives in the context of the slow-motion approach, particularly in relation to the parameter epsilon (ε), which is significantly smaller than one. Participants explore the effects of higher derivatives of a function f with respect to time and spatial coordinates (x, y, z) and question the relevance of terms such as the Laplacian (∇²f) and the gradient (Gra(f)) when considering only first-order effects in ε. The conversation also touches on the application of this approach to low-velocity, weak-field approximations in General Relativity (GR).

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eljose
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Hello i didn,t understand the slow motion approach of course i know that:

[tex]\frac{\partial f }{\partial x^{0}}\sim \epsilon \frac{\partial f }{\partial x^{a}}[/tex] according to this approach with epsilon<<<1 small parameter for every smooth function my doubts are.

a)what would happen to higher derivatives of f with respect to time and spatial coordinates?..x,y,z ?

b)If we only want effect upto first order in epsilon parameter then..what would happen to:

[tex]\nabla ^{2}f[/tex] (Laplacian)

[tex](1,1,1)*Gra(f)[/tex] (scalar product involving the gradient)

or if we had [tex]\epsilon div(f)[/tex] would it mean that the only term that should be kept is df/dt if we consider effects only to first order?..

thanks.:redface: :redface: :redface:
 
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I've been trying to fill in the context of this post, with little success. Regarding what problem are you taking a "slow motion" approach? Are you doing low-velocity, weak-field approximations to GR?
 

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