Absolute value of first derivative interpretation, why is this true?

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in my book I have this:



Let $f: mathbbR to mathbbR$ be a function such that $f in C^1(mathbbR)$, and $x_0$ a point in which $f'(x_0) ne 0$



Then



$lim_deltato0$ $fracmu( f([x_0 - delta, x_0 + delta ] )mu( [x_0 - delta, x_0 + delta ]) = |f'(x_0)| $



Where $mu$ is the Lebesgue measure.



I feel pretty OK with that considering that the first derivative should measure the rate of change of the function in relation with the rate of change of the independent variable but why that's the exact expression formalizing this concept?







share|cite|improve this question





















  • Is $mu$ supposed to more specifically be Lebesgue measure? This certainly isn't true for an arbitrary measure.
    – Eric Wofsey
    Jul 31 at 14:22










  • @EricWofsey I had the strong suspect that $mu$ was the Lebesgue measure but I wasn't completely sure, so I avoided to specify. I edit the text-
    – Baffo rasta
    Jul 31 at 14:23











  • do you know what $mu( [x_0 - delta, x_0 + delta ])$ means and how to calculate it?
    – user190080
    Jul 31 at 14:27










  • @user190080 It is a real interval so (correct me if I'm wrong) its Lebesgue measure should be $2delta$...
    – Baffo rasta
    Jul 31 at 14:28











  • No need for a correction, that's it - Eric's answer shows pretty nicely how straight forward some proofs are...sometimes it is really just plug-in
    – user190080
    Jul 31 at 14:37














up vote
0
down vote

favorite












in my book I have this:



Let $f: mathbbR to mathbbR$ be a function such that $f in C^1(mathbbR)$, and $x_0$ a point in which $f'(x_0) ne 0$



Then



$lim_deltato0$ $fracmu( f([x_0 - delta, x_0 + delta ] )mu( [x_0 - delta, x_0 + delta ]) = |f'(x_0)| $



Where $mu$ is the Lebesgue measure.



I feel pretty OK with that considering that the first derivative should measure the rate of change of the function in relation with the rate of change of the independent variable but why that's the exact expression formalizing this concept?







share|cite|improve this question





















  • Is $mu$ supposed to more specifically be Lebesgue measure? This certainly isn't true for an arbitrary measure.
    – Eric Wofsey
    Jul 31 at 14:22










  • @EricWofsey I had the strong suspect that $mu$ was the Lebesgue measure but I wasn't completely sure, so I avoided to specify. I edit the text-
    – Baffo rasta
    Jul 31 at 14:23











  • do you know what $mu( [x_0 - delta, x_0 + delta ])$ means and how to calculate it?
    – user190080
    Jul 31 at 14:27










  • @user190080 It is a real interval so (correct me if I'm wrong) its Lebesgue measure should be $2delta$...
    – Baffo rasta
    Jul 31 at 14:28











  • No need for a correction, that's it - Eric's answer shows pretty nicely how straight forward some proofs are...sometimes it is really just plug-in
    – user190080
    Jul 31 at 14:37












up vote
0
down vote

favorite









up vote
0
down vote

favorite











in my book I have this:



Let $f: mathbbR to mathbbR$ be a function such that $f in C^1(mathbbR)$, and $x_0$ a point in which $f'(x_0) ne 0$



Then



$lim_deltato0$ $fracmu( f([x_0 - delta, x_0 + delta ] )mu( [x_0 - delta, x_0 + delta ]) = |f'(x_0)| $



Where $mu$ is the Lebesgue measure.



I feel pretty OK with that considering that the first derivative should measure the rate of change of the function in relation with the rate of change of the independent variable but why that's the exact expression formalizing this concept?







share|cite|improve this question













in my book I have this:



Let $f: mathbbR to mathbbR$ be a function such that $f in C^1(mathbbR)$, and $x_0$ a point in which $f'(x_0) ne 0$



Then



$lim_deltato0$ $fracmu( f([x_0 - delta, x_0 + delta ] )mu( [x_0 - delta, x_0 + delta ]) = |f'(x_0)| $



Where $mu$ is the Lebesgue measure.



I feel pretty OK with that considering that the first derivative should measure the rate of change of the function in relation with the rate of change of the independent variable but why that's the exact expression formalizing this concept?









share|cite|improve this question












share|cite|improve this question




share|cite|improve this question








edited Jul 31 at 14:24
























asked Jul 31 at 14:18









Baffo rasta

14210




14210











  • Is $mu$ supposed to more specifically be Lebesgue measure? This certainly isn't true for an arbitrary measure.
    – Eric Wofsey
    Jul 31 at 14:22










  • @EricWofsey I had the strong suspect that $mu$ was the Lebesgue measure but I wasn't completely sure, so I avoided to specify. I edit the text-
    – Baffo rasta
    Jul 31 at 14:23











  • do you know what $mu( [x_0 - delta, x_0 + delta ])$ means and how to calculate it?
    – user190080
    Jul 31 at 14:27










  • @user190080 It is a real interval so (correct me if I'm wrong) its Lebesgue measure should be $2delta$...
    – Baffo rasta
    Jul 31 at 14:28











  • No need for a correction, that's it - Eric's answer shows pretty nicely how straight forward some proofs are...sometimes it is really just plug-in
    – user190080
    Jul 31 at 14:37
















  • Is $mu$ supposed to more specifically be Lebesgue measure? This certainly isn't true for an arbitrary measure.
    – Eric Wofsey
    Jul 31 at 14:22










  • @EricWofsey I had the strong suspect that $mu$ was the Lebesgue measure but I wasn't completely sure, so I avoided to specify. I edit the text-
    – Baffo rasta
    Jul 31 at 14:23











  • do you know what $mu( [x_0 - delta, x_0 + delta ])$ means and how to calculate it?
    – user190080
    Jul 31 at 14:27










  • @user190080 It is a real interval so (correct me if I'm wrong) its Lebesgue measure should be $2delta$...
    – Baffo rasta
    Jul 31 at 14:28











  • No need for a correction, that's it - Eric's answer shows pretty nicely how straight forward some proofs are...sometimes it is really just plug-in
    – user190080
    Jul 31 at 14:37















Is $mu$ supposed to more specifically be Lebesgue measure? This certainly isn't true for an arbitrary measure.
– Eric Wofsey
Jul 31 at 14:22




Is $mu$ supposed to more specifically be Lebesgue measure? This certainly isn't true for an arbitrary measure.
– Eric Wofsey
Jul 31 at 14:22












@EricWofsey I had the strong suspect that $mu$ was the Lebesgue measure but I wasn't completely sure, so I avoided to specify. I edit the text-
– Baffo rasta
Jul 31 at 14:23





@EricWofsey I had the strong suspect that $mu$ was the Lebesgue measure but I wasn't completely sure, so I avoided to specify. I edit the text-
– Baffo rasta
Jul 31 at 14:23













do you know what $mu( [x_0 - delta, x_0 + delta ])$ means and how to calculate it?
– user190080
Jul 31 at 14:27




do you know what $mu( [x_0 - delta, x_0 + delta ])$ means and how to calculate it?
– user190080
Jul 31 at 14:27












@user190080 It is a real interval so (correct me if I'm wrong) its Lebesgue measure should be $2delta$...
– Baffo rasta
Jul 31 at 14:28





@user190080 It is a real interval so (correct me if I'm wrong) its Lebesgue measure should be $2delta$...
– Baffo rasta
Jul 31 at 14:28













No need for a correction, that's it - Eric's answer shows pretty nicely how straight forward some proofs are...sometimes it is really just plug-in
– user190080
Jul 31 at 14:37




No need for a correction, that's it - Eric's answer shows pretty nicely how straight forward some proofs are...sometimes it is really just plug-in
– user190080
Jul 31 at 14:37










1 Answer
1






active

oldest

votes

















up vote
2
down vote



accepted










This is almost literally just a rephrasing of the usual definition of the derivative. If $f'(x_0)neq 0$, then $f$ is monotonic in a neighborhood of $x_0$; let's assume it's increasing. Then $f([x_0-delta,x_0+delta])$ is just the interval $[f(x_0-delta),f(x_0+delta)]$, so we are taking the limit of $$fracmu([f(x_0-delta),f(x_0+delta)])mu([x_0-delta,x_0+delta])=fracf(x_0+delta)-f(x_0-delta)2delta.$$
This is just like the difference quotient defining $f'(x_0)$, except that we are taking a "two-sided" difference where we compare $f(x_0+delta)$ and $f(x_0-delta)$ instead of comparing each of them to $f(x_0)$. Indeed, we can break this fraction up as $$fracf(x_0+delta)-f(x_0-delta)2delta=frac12left(fracf(x_0+delta)-f(x_0)delta+fracf(x_0-delta)-f(x_0)-deltaright)$$ which is just an average of two difference quotients (one for $h=delta$ and one for $h=-delta$). So, since each difference quotient is converging to $f'(x_0)$, so is our fraction.



(If $f$ is decreasing instead of increasing, we get essentially the same thing except with a minus sign since $f$ reverses the order of the endpoints of our interval, so we get $-f'(x_0)=|f'(x_0)|$.)






share|cite|improve this answer





















  • I think this one is pretty clean, thanks for the answer.
    – Baffo rasta
    Jul 31 at 14:35










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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
2
down vote



accepted










This is almost literally just a rephrasing of the usual definition of the derivative. If $f'(x_0)neq 0$, then $f$ is monotonic in a neighborhood of $x_0$; let's assume it's increasing. Then $f([x_0-delta,x_0+delta])$ is just the interval $[f(x_0-delta),f(x_0+delta)]$, so we are taking the limit of $$fracmu([f(x_0-delta),f(x_0+delta)])mu([x_0-delta,x_0+delta])=fracf(x_0+delta)-f(x_0-delta)2delta.$$
This is just like the difference quotient defining $f'(x_0)$, except that we are taking a "two-sided" difference where we compare $f(x_0+delta)$ and $f(x_0-delta)$ instead of comparing each of them to $f(x_0)$. Indeed, we can break this fraction up as $$fracf(x_0+delta)-f(x_0-delta)2delta=frac12left(fracf(x_0+delta)-f(x_0)delta+fracf(x_0-delta)-f(x_0)-deltaright)$$ which is just an average of two difference quotients (one for $h=delta$ and one for $h=-delta$). So, since each difference quotient is converging to $f'(x_0)$, so is our fraction.



(If $f$ is decreasing instead of increasing, we get essentially the same thing except with a minus sign since $f$ reverses the order of the endpoints of our interval, so we get $-f'(x_0)=|f'(x_0)|$.)






share|cite|improve this answer





















  • I think this one is pretty clean, thanks for the answer.
    – Baffo rasta
    Jul 31 at 14:35














up vote
2
down vote



accepted










This is almost literally just a rephrasing of the usual definition of the derivative. If $f'(x_0)neq 0$, then $f$ is monotonic in a neighborhood of $x_0$; let's assume it's increasing. Then $f([x_0-delta,x_0+delta])$ is just the interval $[f(x_0-delta),f(x_0+delta)]$, so we are taking the limit of $$fracmu([f(x_0-delta),f(x_0+delta)])mu([x_0-delta,x_0+delta])=fracf(x_0+delta)-f(x_0-delta)2delta.$$
This is just like the difference quotient defining $f'(x_0)$, except that we are taking a "two-sided" difference where we compare $f(x_0+delta)$ and $f(x_0-delta)$ instead of comparing each of them to $f(x_0)$. Indeed, we can break this fraction up as $$fracf(x_0+delta)-f(x_0-delta)2delta=frac12left(fracf(x_0+delta)-f(x_0)delta+fracf(x_0-delta)-f(x_0)-deltaright)$$ which is just an average of two difference quotients (one for $h=delta$ and one for $h=-delta$). So, since each difference quotient is converging to $f'(x_0)$, so is our fraction.



(If $f$ is decreasing instead of increasing, we get essentially the same thing except with a minus sign since $f$ reverses the order of the endpoints of our interval, so we get $-f'(x_0)=|f'(x_0)|$.)






share|cite|improve this answer





















  • I think this one is pretty clean, thanks for the answer.
    – Baffo rasta
    Jul 31 at 14:35












up vote
2
down vote



accepted







up vote
2
down vote



accepted






This is almost literally just a rephrasing of the usual definition of the derivative. If $f'(x_0)neq 0$, then $f$ is monotonic in a neighborhood of $x_0$; let's assume it's increasing. Then $f([x_0-delta,x_0+delta])$ is just the interval $[f(x_0-delta),f(x_0+delta)]$, so we are taking the limit of $$fracmu([f(x_0-delta),f(x_0+delta)])mu([x_0-delta,x_0+delta])=fracf(x_0+delta)-f(x_0-delta)2delta.$$
This is just like the difference quotient defining $f'(x_0)$, except that we are taking a "two-sided" difference where we compare $f(x_0+delta)$ and $f(x_0-delta)$ instead of comparing each of them to $f(x_0)$. Indeed, we can break this fraction up as $$fracf(x_0+delta)-f(x_0-delta)2delta=frac12left(fracf(x_0+delta)-f(x_0)delta+fracf(x_0-delta)-f(x_0)-deltaright)$$ which is just an average of two difference quotients (one for $h=delta$ and one for $h=-delta$). So, since each difference quotient is converging to $f'(x_0)$, so is our fraction.



(If $f$ is decreasing instead of increasing, we get essentially the same thing except with a minus sign since $f$ reverses the order of the endpoints of our interval, so we get $-f'(x_0)=|f'(x_0)|$.)






share|cite|improve this answer













This is almost literally just a rephrasing of the usual definition of the derivative. If $f'(x_0)neq 0$, then $f$ is monotonic in a neighborhood of $x_0$; let's assume it's increasing. Then $f([x_0-delta,x_0+delta])$ is just the interval $[f(x_0-delta),f(x_0+delta)]$, so we are taking the limit of $$fracmu([f(x_0-delta),f(x_0+delta)])mu([x_0-delta,x_0+delta])=fracf(x_0+delta)-f(x_0-delta)2delta.$$
This is just like the difference quotient defining $f'(x_0)$, except that we are taking a "two-sided" difference where we compare $f(x_0+delta)$ and $f(x_0-delta)$ instead of comparing each of them to $f(x_0)$. Indeed, we can break this fraction up as $$fracf(x_0+delta)-f(x_0-delta)2delta=frac12left(fracf(x_0+delta)-f(x_0)delta+fracf(x_0-delta)-f(x_0)-deltaright)$$ which is just an average of two difference quotients (one for $h=delta$ and one for $h=-delta$). So, since each difference quotient is converging to $f'(x_0)$, so is our fraction.



(If $f$ is decreasing instead of increasing, we get essentially the same thing except with a minus sign since $f$ reverses the order of the endpoints of our interval, so we get $-f'(x_0)=|f'(x_0)|$.)







share|cite|improve this answer













share|cite|improve this answer



share|cite|improve this answer











answered Jul 31 at 14:30









Eric Wofsey

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  • I think this one is pretty clean, thanks for the answer.
    – Baffo rasta
    Jul 31 at 14:35
















  • I think this one is pretty clean, thanks for the answer.
    – Baffo rasta
    Jul 31 at 14:35















I think this one is pretty clean, thanks for the answer.
– Baffo rasta
Jul 31 at 14:35




I think this one is pretty clean, thanks for the answer.
– Baffo rasta
Jul 31 at 14:35












 

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