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basic_tools:variational_calculus:functional_derivative [2018/03/10 17:33]
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basic_tools:variational_calculus:functional_derivative [2018/03/15 14:56] (current)
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-<tabbox Concept>+
  
 ====== Functional Derivative ====== ====== Functional Derivative ======
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 where the last expression is equivalent, and will help us in the next definition, $\varepsilon$ represents the variation around the point $x$. where the last expression is equivalent, and will help us in the next definition, $\varepsilon$ represents the variation around the point $x$.
  
-For a functional, we will denote the derivative ​with $\delta$, as representation of variation. As we know how to derive functions of "​numbers",​ we will transform our funtional ​of $q$ to a "​normal"​ function for $\varepsilon$ with the map $F[q]\mapsto F[q+\varepsilon ​h]$ where $h$ is called a test function (analogous to a vector on multivariate calculus), then derive:+For a functional, we will denote the differential ​with $\delta$, as representation of variation. As we know how to derive functions of "​numbers",​ we will transform our functional ​of $q$ to a "​normal"​ function for $\varepsilon$ with the map $F[q]\mapsto F[q+\varepsilon ​\phi]$ where $\phi$ is called a test function (analogous to a vector on multivariate calculus), then derive:
  
 $$ $$
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 $$ $$
  
 +The summand $\varepsilon \phi$ is called //​variation//​ of $q$.
 +
 +=== Derivative of Integral Functionals ===
  
 +For a [[basic_tools:​variational_calculus:​functional:​integral_functional| integral functional ]], what interests us is the derivative with respect a function. This is INCOMPLETE; WILL DO LATER
  
  
-__** Formal Definitions ​**__+==== Formal Definitions ​====
  
 Frechet derivative on Banach spaces, and more generally Gatheaux derivative on locally convex spaces ...  Frechet derivative on Banach spaces, and more generally Gatheaux derivative on locally convex spaces ... 
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