Fréchet derivative derivation

In summary, the Fréchet derivative derivation is a mathematical tool used in functional analysis to calculate the derivative of a function between two Banach spaces. It is often used in real-world applications such as optimization problems and is a generalization of the derivative in single variable calculus. However, it can only be applied to functions between Banach spaces and can be challenging to calculate in practice.
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In Stone & Goldbart's Mathematics for Physics, in section 1.2.1 on the Calculus of Variations, they derive the Fréchet derivative. Part of the derivation is as follows:

Equation 1: J[y + εη] - J[y] = ∫ { f(x, y + εη, y' + εη') - f(x, y, y') } dx

Equation 2: J[y + εη] - J[y] = ∫ { εη ∂f/∂y + ε dη/dx ∂f/∂y' + O(ε2) } dx

To go from equation 1 to 2 a Taylor expansion is (implicitly) used. However, this seems rather complicated and introduces what I consider as the unnecessary complication O(ε2). Instead, I can derive the same result by using the total difference:

f(x, y + εη, y' + εη') - f(x, y, y') = δf = δx ∂f/∂x + δy ∂f/∂y + δy' ∂f/∂y' = 0 ∂f/∂x + εη ∂f/∂y + ε dη/dx ∂f/∂y' = εη ∂f/∂y + ε dη/dx ∂f/∂y'

which is the integrand in equation 2, minus the O(ε2) which vanishes in their derivation. Is my method correct? If so, why would one use the more complicated method of a Taylor expansion?
 
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Thank you for your contribution to the discussion on the derivation of the Fréchet derivative in Stone & Goldbart's Mathematics for Physics. Your method of using the total difference to derive the same result as the Taylor expansion is also valid. In fact, this is a common approach in the study of calculus of variations.

The reason why the authors used the Taylor expansion in their derivation is to provide a more intuitive understanding of the concept. By expanding the function f(x, y + εη, y' + εη') around the point (x, y, y') and keeping only the first-order term, they are able to show how the Fréchet derivative is related to the partial derivatives of the function. This can be helpful for students who are new to the subject and are still trying to grasp the concept.

Furthermore, the Taylor expansion also allows for a more general derivation, as it can be extended to higher orders in ε if necessary. This can be useful in some cases where a more accurate approximation is needed.

In summary, both methods are correct and valid in deriving the Fréchet derivative. The Taylor expansion may seem more complicated, but it serves a purpose in providing a more intuitive understanding of the concept. I hope this helps to clarify your doubts. Thank you for your contribution to the discussion.
 

1. What is the Fréchet derivative derivation?

The Fréchet derivative derivation (also known as the Frechet derivative formula or the Fréchet derivative theorem) is a mathematical tool used in functional analysis to calculate the derivative of a function between two Banach spaces. It is similar to the concept of the derivative in single variable calculus, but applies to functions between higher dimensional spaces.

2. How is the Fréchet derivative derivation used in real-world applications?

The Fréchet derivative derivation is used in many areas of science and engineering, including physics, economics, and computer science. It is particularly useful in optimization problems, where it can help find the direction in which a function is changing most rapidly.

3. Can you explain the Fréchet derivative derivation in simple terms?

The Fréchet derivative derivation is a mathematical tool that helps us understand how functions change in higher dimensional spaces. It is similar to the concept of the derivative in single variable calculus, but instead of just looking at changes in one direction, it considers changes in all directions.

4. What is the difference between the Fréchet derivative derivation and other types of derivatives?

The Fréchet derivative derivation is a generalization of the derivative in single variable calculus. It is defined for functions between Banach spaces, which are vector spaces with a defined norm. Other types of derivatives, such as the Gateaux derivative, are defined for functions between more general topological spaces.

5. Are there any limitations to using the Fréchet derivative derivation?

The Fréchet derivative derivation can only be applied to functions between Banach spaces, so it is not applicable to all functions. Additionally, it can be challenging to calculate in practice, as it involves taking limits of functions in multiple directions. However, for well-behaved functions, it is a powerful tool for understanding their behavior and making predictions about their future behavior.

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