Geodesic Equation: Generalizing for Functions F

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SUMMARY

The discussion centers on the generalization of the geodesic equation for functions F, specifically exploring the implications of using a monotone function f in the energy functional. The original geodesic equation is derived from the principle of least action, represented by the functional S, and an alternative energy functional E is introduced. The author seeks to extend these concepts to a generalized functional F_f, questioning the applicability of existing proofs that rely on the L2 norm and inner product properties. The conversation highlights the need for further exploration into calculus of variations techniques to achieve this generalization.

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  • Understanding of the geodesic equation and its derivation from the principle of least action.
  • Familiarity with calculus of variations and its application in physics.
  • Knowledge of monotone functions and their properties in mathematical analysis.
  • Concepts of inner products and L2 norms in functional analysis.
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tom.stoer
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The geodesic equation follows from vanishing variation ##\delta S = 0## with

##S[C] = \int_C ds = \int_a^b dt \sqrt{g_{ab}\,\dot{x}^a\,\dot{x}^b}##

In many cases one uses the energy functional with ##\delta E = 0## instead:

##E[C] = \int_a^b dt \, {g_{ab}\,\dot{x}^a\,\dot{x}^b}##

Can this be generalized for other functions f with ##\delta F = 0## and

##F_f[C] = \int_a^b dt \, f\left(\sqrt{g_{ab}\,\dot{x}^a\,\dot{x}^b}\right)##
 
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If the function [itex]f[/itex] is monotone.
 
That was my idea as well, but I don't see how to generalize the proofs used for S and E. They rely partially on the L2 norm, special case of inner product etc.

Wikipedia writes "The minimizing curves of S ... can be obtained by techniques of calculus of variations ... One introduces the energy functional E ... It is then enough to minimize the functional E, owing to the Cauchy–Schwarz inequality ... with equality if and only if |dγ/dt| is constant"
 
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