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.

[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.
