Understanding Arnold's definition of “differentiable”

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I'm looking at Arnold's Mathematical Methods of Classical Mechanics at the beginning of chapter 3 p 55 which defines when a functional is differentiable. Slightly paraphrasing and skipping a couple of details:




A functional $Phi$ is said to be differentiable if
$Phi(gamma+h)-Phi(gamma)=F+R$



where $F(gamma,h)$ is linear in $h$ and $Rsim O(h^2)$ in the sense that
for $|h|<epsilon$ and $left|fracdhdtright|<epsilon$ then $|R|<Cepsilon^2$.




I've been telling myself to think of $gamma$ as a curve, $h$ as a slight variation of the curve, and $F$ as the differential or "principal variation" of the functional, and $R$ the "error."



This is my first time seeing this definition of "differentiable" and also of $O(h^2)$, and I have a pair of questions about the latter.



  1. In the 50 pages preceding, I can't seem to find out what $|cdot |$ means here. Is $|h|$ total variation of the curve $h$, or something like that?


  2. How can I make sense of the constraints $|h|<epsilon$ and $left|fracdhdtright|<epsilon$ controlling $R$? The best I've come up with is "if $h$ does not go up and down too much and the speed doesn't go up and down too much, then $R$ will be under control." It might be helpful to have a prototypical example of a situation where $h$ slow but too wavy, and a situation where $h$ is not wavy but the speed varies wildly. Good heuristics are welcome too.







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  • $|h|$ is $|h|_infty$ on $[t_0,t_1]$ for the next theorem. The definition is left ambiguous to adjust it to each case. see, for example, footnote 26. Think of it as a template of many definitions, parametrized by the spaces of curves chosen, the norms chosen, etc.
    – user577471
    Jul 26 at 20:35











  • @HGLandcaster ....each case? well... I would think it is quite unusual if the definition of $O(h^2)$ is variable based on the problem presented. Are you sure it's not just the sup norm everywhere?
    – rschwieb
    Jul 26 at 20:40










  • It might be enough for all what follows, I didn't continue reading much more.
    – user577471
    Jul 26 at 20:43










  • It is not unusual for $O(h^2)$ and differentials to depend on the norms. It just happens that in finite dimensions they are equivalent.
    – user577471
    Jul 26 at 20:47











  • @HGLandcaster ok, a bit of a surprise, but good to know. Thanks!
    – rschwieb
    Jul 26 at 22:59














up vote
2
down vote

favorite












I'm looking at Arnold's Mathematical Methods of Classical Mechanics at the beginning of chapter 3 p 55 which defines when a functional is differentiable. Slightly paraphrasing and skipping a couple of details:




A functional $Phi$ is said to be differentiable if
$Phi(gamma+h)-Phi(gamma)=F+R$



where $F(gamma,h)$ is linear in $h$ and $Rsim O(h^2)$ in the sense that
for $|h|<epsilon$ and $left|fracdhdtright|<epsilon$ then $|R|<Cepsilon^2$.




I've been telling myself to think of $gamma$ as a curve, $h$ as a slight variation of the curve, and $F$ as the differential or "principal variation" of the functional, and $R$ the "error."



This is my first time seeing this definition of "differentiable" and also of $O(h^2)$, and I have a pair of questions about the latter.



  1. In the 50 pages preceding, I can't seem to find out what $|cdot |$ means here. Is $|h|$ total variation of the curve $h$, or something like that?


  2. How can I make sense of the constraints $|h|<epsilon$ and $left|fracdhdtright|<epsilon$ controlling $R$? The best I've come up with is "if $h$ does not go up and down too much and the speed doesn't go up and down too much, then $R$ will be under control." It might be helpful to have a prototypical example of a situation where $h$ slow but too wavy, and a situation where $h$ is not wavy but the speed varies wildly. Good heuristics are welcome too.







share|cite|improve this question





















  • $|h|$ is $|h|_infty$ on $[t_0,t_1]$ for the next theorem. The definition is left ambiguous to adjust it to each case. see, for example, footnote 26. Think of it as a template of many definitions, parametrized by the spaces of curves chosen, the norms chosen, etc.
    – user577471
    Jul 26 at 20:35











  • @HGLandcaster ....each case? well... I would think it is quite unusual if the definition of $O(h^2)$ is variable based on the problem presented. Are you sure it's not just the sup norm everywhere?
    – rschwieb
    Jul 26 at 20:40










  • It might be enough for all what follows, I didn't continue reading much more.
    – user577471
    Jul 26 at 20:43










  • It is not unusual for $O(h^2)$ and differentials to depend on the norms. It just happens that in finite dimensions they are equivalent.
    – user577471
    Jul 26 at 20:47











  • @HGLandcaster ok, a bit of a surprise, but good to know. Thanks!
    – rschwieb
    Jul 26 at 22:59












up vote
2
down vote

favorite









up vote
2
down vote

favorite











I'm looking at Arnold's Mathematical Methods of Classical Mechanics at the beginning of chapter 3 p 55 which defines when a functional is differentiable. Slightly paraphrasing and skipping a couple of details:




A functional $Phi$ is said to be differentiable if
$Phi(gamma+h)-Phi(gamma)=F+R$



where $F(gamma,h)$ is linear in $h$ and $Rsim O(h^2)$ in the sense that
for $|h|<epsilon$ and $left|fracdhdtright|<epsilon$ then $|R|<Cepsilon^2$.




I've been telling myself to think of $gamma$ as a curve, $h$ as a slight variation of the curve, and $F$ as the differential or "principal variation" of the functional, and $R$ the "error."



This is my first time seeing this definition of "differentiable" and also of $O(h^2)$, and I have a pair of questions about the latter.



  1. In the 50 pages preceding, I can't seem to find out what $|cdot |$ means here. Is $|h|$ total variation of the curve $h$, or something like that?


  2. How can I make sense of the constraints $|h|<epsilon$ and $left|fracdhdtright|<epsilon$ controlling $R$? The best I've come up with is "if $h$ does not go up and down too much and the speed doesn't go up and down too much, then $R$ will be under control." It might be helpful to have a prototypical example of a situation where $h$ slow but too wavy, and a situation where $h$ is not wavy but the speed varies wildly. Good heuristics are welcome too.







share|cite|improve this question













I'm looking at Arnold's Mathematical Methods of Classical Mechanics at the beginning of chapter 3 p 55 which defines when a functional is differentiable. Slightly paraphrasing and skipping a couple of details:




A functional $Phi$ is said to be differentiable if
$Phi(gamma+h)-Phi(gamma)=F+R$



where $F(gamma,h)$ is linear in $h$ and $Rsim O(h^2)$ in the sense that
for $|h|<epsilon$ and $left|fracdhdtright|<epsilon$ then $|R|<Cepsilon^2$.




I've been telling myself to think of $gamma$ as a curve, $h$ as a slight variation of the curve, and $F$ as the differential or "principal variation" of the functional, and $R$ the "error."



This is my first time seeing this definition of "differentiable" and also of $O(h^2)$, and I have a pair of questions about the latter.



  1. In the 50 pages preceding, I can't seem to find out what $|cdot |$ means here. Is $|h|$ total variation of the curve $h$, or something like that?


  2. How can I make sense of the constraints $|h|<epsilon$ and $left|fracdhdtright|<epsilon$ controlling $R$? The best I've come up with is "if $h$ does not go up and down too much and the speed doesn't go up and down too much, then $R$ will be under control." It might be helpful to have a prototypical example of a situation where $h$ slow but too wavy, and a situation where $h$ is not wavy but the speed varies wildly. Good heuristics are welcome too.









share|cite|improve this question












share|cite|improve this question




share|cite|improve this question








edited Jul 26 at 19:41
























asked Jul 26 at 19:34









rschwieb

99.7k1191225




99.7k1191225











  • $|h|$ is $|h|_infty$ on $[t_0,t_1]$ for the next theorem. The definition is left ambiguous to adjust it to each case. see, for example, footnote 26. Think of it as a template of many definitions, parametrized by the spaces of curves chosen, the norms chosen, etc.
    – user577471
    Jul 26 at 20:35











  • @HGLandcaster ....each case? well... I would think it is quite unusual if the definition of $O(h^2)$ is variable based on the problem presented. Are you sure it's not just the sup norm everywhere?
    – rschwieb
    Jul 26 at 20:40










  • It might be enough for all what follows, I didn't continue reading much more.
    – user577471
    Jul 26 at 20:43










  • It is not unusual for $O(h^2)$ and differentials to depend on the norms. It just happens that in finite dimensions they are equivalent.
    – user577471
    Jul 26 at 20:47











  • @HGLandcaster ok, a bit of a surprise, but good to know. Thanks!
    – rschwieb
    Jul 26 at 22:59
















  • $|h|$ is $|h|_infty$ on $[t_0,t_1]$ for the next theorem. The definition is left ambiguous to adjust it to each case. see, for example, footnote 26. Think of it as a template of many definitions, parametrized by the spaces of curves chosen, the norms chosen, etc.
    – user577471
    Jul 26 at 20:35











  • @HGLandcaster ....each case? well... I would think it is quite unusual if the definition of $O(h^2)$ is variable based on the problem presented. Are you sure it's not just the sup norm everywhere?
    – rschwieb
    Jul 26 at 20:40










  • It might be enough for all what follows, I didn't continue reading much more.
    – user577471
    Jul 26 at 20:43










  • It is not unusual for $O(h^2)$ and differentials to depend on the norms. It just happens that in finite dimensions they are equivalent.
    – user577471
    Jul 26 at 20:47











  • @HGLandcaster ok, a bit of a surprise, but good to know. Thanks!
    – rschwieb
    Jul 26 at 22:59















$|h|$ is $|h|_infty$ on $[t_0,t_1]$ for the next theorem. The definition is left ambiguous to adjust it to each case. see, for example, footnote 26. Think of it as a template of many definitions, parametrized by the spaces of curves chosen, the norms chosen, etc.
– user577471
Jul 26 at 20:35





$|h|$ is $|h|_infty$ on $[t_0,t_1]$ for the next theorem. The definition is left ambiguous to adjust it to each case. see, for example, footnote 26. Think of it as a template of many definitions, parametrized by the spaces of curves chosen, the norms chosen, etc.
– user577471
Jul 26 at 20:35













@HGLandcaster ....each case? well... I would think it is quite unusual if the definition of $O(h^2)$ is variable based on the problem presented. Are you sure it's not just the sup norm everywhere?
– rschwieb
Jul 26 at 20:40




@HGLandcaster ....each case? well... I would think it is quite unusual if the definition of $O(h^2)$ is variable based on the problem presented. Are you sure it's not just the sup norm everywhere?
– rschwieb
Jul 26 at 20:40












It might be enough for all what follows, I didn't continue reading much more.
– user577471
Jul 26 at 20:43




It might be enough for all what follows, I didn't continue reading much more.
– user577471
Jul 26 at 20:43












It is not unusual for $O(h^2)$ and differentials to depend on the norms. It just happens that in finite dimensions they are equivalent.
– user577471
Jul 26 at 20:47





It is not unusual for $O(h^2)$ and differentials to depend on the norms. It just happens that in finite dimensions they are equivalent.
– user577471
Jul 26 at 20:47













@HGLandcaster ok, a bit of a surprise, but good to know. Thanks!
– rschwieb
Jul 26 at 22:59




@HGLandcaster ok, a bit of a surprise, but good to know. Thanks!
– rschwieb
Jul 26 at 22:59















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