Why was the higher order derivative defined this way?

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The discussion focuses on the definition of higher order derivatives in the context of Banach spaces, specifically examining the second derivative of a function f: U ⊆ ℝ² → ℝ. It establishes that the second derivative D²f is defined as D²f(u)·(v,w) = D((Df)(·)·w)·v, emphasizing the bilinear nature of the second derivative. The conversation highlights the importance of understanding derivatives through various perspectives, including the product rule and the role of linear functionals in this context.

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cliowa
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Let E, F be Banach spaces, and let [itex]L(E;F)[/itex] denote the space of linear, bounded maps between E and F. My goal is to understand better higher order derivatives.
Let's take [itex]E=\mathbb{R}^2, F=\mathbb{R}[/itex]. Consider a function [itex]f:U\subset\mathbb{R}^2\rightarrow\mathbb{R}[/itex], where U is an open subset of [itex]\mathbb{R}^2[/itex]. Then [itex]D^2 f:U\rightarrow L(\mathbb{R}^2;L(\mathbb{R}^2;\mathbb{R}))[/itex].
Now, I read that for [itex]u\in U, v,w\in\mathbb{R}^2[/itex] by definition [itex]D^2 f(u)\cdot (v,w):=D((Df)(.)\cdot w)\cdot v[/itex]. My question now is: Why was this defined precisely this way?
Does it have something to do with "using the product rule", which would amount to [itex]D((Df)(.)\cdot w)=D^2 f(.)\cdot w+Df(.)\cdot D(w)=D^2 f(.)\cdot w[/itex]?
Thanks for any help. Best regards...Cliowa
 
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It has to do with the definition of derivatives. ##D^2(f)= D(D(f))##. We get a bilinear functional from that. How to consider a derivative is a matter of purpose. E.g. look at the ten point list at the beginning of
https://www.physicsforums.com/insights/journey-manifold-su2mathbbc-part/where I listed a few of such perspectives. Your view is: ##D## is a linear functional, and ##D^2## a bilinear. Look up differential forms. E.g.
https://www.physicsforums.com/insights/the-pantheon-of-derivatives-i/
 

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