What is Functional Derivation and How is it Used to Solve Complex Problems?

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SUMMARY

The discussion focuses on the concept of Functional Derivation, particularly in the context of the Frechet derivative applied to infinite-dimensional spaces. The expression u(f(t),t) involves the integral of a function g, which depends on both f(t) and f(t'). The participants clarify that the derivative notation used is crucial for understanding the Euler-Lagrange equations, specifically when considering variations in the function f(t'). This highlights the importance of precise notation in mathematical derivations.

PREREQUISITES
  • Understanding of Functional Derivation
  • Familiarity with Frechet derivatives
  • Knowledge of Euler-Lagrange equations
  • Basic principles of calculus in infinite-dimensional spaces
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  • Study the properties and applications of Frechet derivatives
  • Explore the derivation and implications of Euler-Lagrange equations
  • Investigate the role of functional analysis in infinite-dimensional spaces
  • Learn about variations in functional calculus and their applications
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Mathematicians, physicists, and engineers dealing with complex problem-solving in calculus and functional analysis, particularly those interested in variational methods and their applications.

etzzzz
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I have a problem with this simple (?) derivation

[tex]u(f(t),t) = \frac{\partial }{\partial f(t)} <br /> \int_0^T \ g(f(t),f(t'),t,t') \ dt'[/tex]
 
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Hi 'etzzzz' the derivative you have put has some bit different notation.

The expression you gave is just a 'Frechet' derivative on an infinite dimensional space if we note

[tex]g( f(t) , f(t') ,t,t')=F[/tex]

considering that we are varying the function f(t') but not the function f(t) the Euler-Lagrange equations are.

[tex]\frac{ \partial g}{\partial f(t)}[/tex]

in case the derivative respect to t' of f(t') do not appear
 

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