Little o(h) limit about h=0

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I understand that generally if a function $f(h)$ is described as $o(h)$ that $f(h)$ has a smaller rate of growth than $h$ (like it would have to be $sqrth$). i.e. $sqrth = o(h)$, just like (for example) $4h=o(h^2)$. The notes I'm reading (CT3), however, states that:




A function $f(h)$ is described as $o(h)$ if:



$$lim_h to 0 fracf(h)h = 0 $$




but if I use, for example, $f(h)= sqrth$ which does have a slower growth rate then $h$ then the limit doesn't go to $0$. Is there a different meaning to little $0$ when its approaching $0$ compared to when it goes to infinity cause the only way that limit holds is if $f(h)$ goes to $0$ faster then $h$ does which I guess means $f(h)$ decreases faster then $h$ as $h to 0$.



Anyway you can ignore my thoughts on the question but an explanation of the text I quoted would be greatly appreciated.







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  • 1




    It is a definition - I don't understand what you mean by explanation? You could interpret it as saying $f(0) = 0$ and $f'(0) = 0$.
    – copper.hat
    Jan 31 '15 at 6:51










  • Im talking about little o notation?
    – Mauro Augusto
    Jan 31 '15 at 7:06






  • 1




    I understand. I don't understand what you are asking.
    – copper.hat
    Jan 31 '15 at 7:09











  • I just need an explanation of the grey bit. Like how does o(h) work when h->0 instead of going to infinity
    – Mauro Augusto
    Jan 31 '15 at 7:24










  • I don't know what you mean, the definition only involves $h to 0$? It is exactly equivalent to $f(0) =0$ and $f'(0) = 0$.
    – copper.hat
    Jan 31 '15 at 7:28















up vote
0
down vote

favorite












I understand that generally if a function $f(h)$ is described as $o(h)$ that $f(h)$ has a smaller rate of growth than $h$ (like it would have to be $sqrth$). i.e. $sqrth = o(h)$, just like (for example) $4h=o(h^2)$. The notes I'm reading (CT3), however, states that:




A function $f(h)$ is described as $o(h)$ if:



$$lim_h to 0 fracf(h)h = 0 $$




but if I use, for example, $f(h)= sqrth$ which does have a slower growth rate then $h$ then the limit doesn't go to $0$. Is there a different meaning to little $0$ when its approaching $0$ compared to when it goes to infinity cause the only way that limit holds is if $f(h)$ goes to $0$ faster then $h$ does which I guess means $f(h)$ decreases faster then $h$ as $h to 0$.



Anyway you can ignore my thoughts on the question but an explanation of the text I quoted would be greatly appreciated.







share|cite|improve this question


















  • 1




    It is a definition - I don't understand what you mean by explanation? You could interpret it as saying $f(0) = 0$ and $f'(0) = 0$.
    – copper.hat
    Jan 31 '15 at 6:51










  • Im talking about little o notation?
    – Mauro Augusto
    Jan 31 '15 at 7:06






  • 1




    I understand. I don't understand what you are asking.
    – copper.hat
    Jan 31 '15 at 7:09











  • I just need an explanation of the grey bit. Like how does o(h) work when h->0 instead of going to infinity
    – Mauro Augusto
    Jan 31 '15 at 7:24










  • I don't know what you mean, the definition only involves $h to 0$? It is exactly equivalent to $f(0) =0$ and $f'(0) = 0$.
    – copper.hat
    Jan 31 '15 at 7:28













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I understand that generally if a function $f(h)$ is described as $o(h)$ that $f(h)$ has a smaller rate of growth than $h$ (like it would have to be $sqrth$). i.e. $sqrth = o(h)$, just like (for example) $4h=o(h^2)$. The notes I'm reading (CT3), however, states that:




A function $f(h)$ is described as $o(h)$ if:



$$lim_h to 0 fracf(h)h = 0 $$




but if I use, for example, $f(h)= sqrth$ which does have a slower growth rate then $h$ then the limit doesn't go to $0$. Is there a different meaning to little $0$ when its approaching $0$ compared to when it goes to infinity cause the only way that limit holds is if $f(h)$ goes to $0$ faster then $h$ does which I guess means $f(h)$ decreases faster then $h$ as $h to 0$.



Anyway you can ignore my thoughts on the question but an explanation of the text I quoted would be greatly appreciated.







share|cite|improve this question














I understand that generally if a function $f(h)$ is described as $o(h)$ that $f(h)$ has a smaller rate of growth than $h$ (like it would have to be $sqrth$). i.e. $sqrth = o(h)$, just like (for example) $4h=o(h^2)$. The notes I'm reading (CT3), however, states that:




A function $f(h)$ is described as $o(h)$ if:



$$lim_h to 0 fracf(h)h = 0 $$




but if I use, for example, $f(h)= sqrth$ which does have a slower growth rate then $h$ then the limit doesn't go to $0$. Is there a different meaning to little $0$ when its approaching $0$ compared to when it goes to infinity cause the only way that limit holds is if $f(h)$ goes to $0$ faster then $h$ does which I guess means $f(h)$ decreases faster then $h$ as $h to 0$.



Anyway you can ignore my thoughts on the question but an explanation of the text I quoted would be greatly appreciated.









share|cite|improve this question













share|cite|improve this question




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edited Jan 31 '15 at 6:55









Daniel W. Farlow

17.2k114187




17.2k114187










asked Jan 31 '15 at 6:42









Mauro Augusto

296




296







  • 1




    It is a definition - I don't understand what you mean by explanation? You could interpret it as saying $f(0) = 0$ and $f'(0) = 0$.
    – copper.hat
    Jan 31 '15 at 6:51










  • Im talking about little o notation?
    – Mauro Augusto
    Jan 31 '15 at 7:06






  • 1




    I understand. I don't understand what you are asking.
    – copper.hat
    Jan 31 '15 at 7:09











  • I just need an explanation of the grey bit. Like how does o(h) work when h->0 instead of going to infinity
    – Mauro Augusto
    Jan 31 '15 at 7:24










  • I don't know what you mean, the definition only involves $h to 0$? It is exactly equivalent to $f(0) =0$ and $f'(0) = 0$.
    – copper.hat
    Jan 31 '15 at 7:28













  • 1




    It is a definition - I don't understand what you mean by explanation? You could interpret it as saying $f(0) = 0$ and $f'(0) = 0$.
    – copper.hat
    Jan 31 '15 at 6:51










  • Im talking about little o notation?
    – Mauro Augusto
    Jan 31 '15 at 7:06






  • 1




    I understand. I don't understand what you are asking.
    – copper.hat
    Jan 31 '15 at 7:09











  • I just need an explanation of the grey bit. Like how does o(h) work when h->0 instead of going to infinity
    – Mauro Augusto
    Jan 31 '15 at 7:24










  • I don't know what you mean, the definition only involves $h to 0$? It is exactly equivalent to $f(0) =0$ and $f'(0) = 0$.
    – copper.hat
    Jan 31 '15 at 7:28








1




1




It is a definition - I don't understand what you mean by explanation? You could interpret it as saying $f(0) = 0$ and $f'(0) = 0$.
– copper.hat
Jan 31 '15 at 6:51




It is a definition - I don't understand what you mean by explanation? You could interpret it as saying $f(0) = 0$ and $f'(0) = 0$.
– copper.hat
Jan 31 '15 at 6:51












Im talking about little o notation?
– Mauro Augusto
Jan 31 '15 at 7:06




Im talking about little o notation?
– Mauro Augusto
Jan 31 '15 at 7:06




1




1




I understand. I don't understand what you are asking.
– copper.hat
Jan 31 '15 at 7:09





I understand. I don't understand what you are asking.
– copper.hat
Jan 31 '15 at 7:09













I just need an explanation of the grey bit. Like how does o(h) work when h->0 instead of going to infinity
– Mauro Augusto
Jan 31 '15 at 7:24




I just need an explanation of the grey bit. Like how does o(h) work when h->0 instead of going to infinity
– Mauro Augusto
Jan 31 '15 at 7:24












I don't know what you mean, the definition only involves $h to 0$? It is exactly equivalent to $f(0) =0$ and $f'(0) = 0$.
– copper.hat
Jan 31 '15 at 7:28





I don't know what you mean, the definition only involves $h to 0$? It is exactly equivalent to $f(0) =0$ and $f'(0) = 0$.
– copper.hat
Jan 31 '15 at 7:28











2 Answers
2






active

oldest

votes

















up vote
2
down vote













Yes, the little-o notation (and Landau symbols in general) behaves differently for $xto 0$ and for $xtoinfty$.



When we're considering $xtoinfty$ (as you may be familiar with from analysis of algorithms), $sqrt x$ grows slower than $x$ -- because for large $x$, the square root of $x$ is smaller than $x$ by a ratio that becomes ever more lopsided. Therefore in this context we say that $sqrt x = o(x)$.



On the other hand, if we're considering $xto 0$ (which is more common in analysis), then when $x$ is close to zero, $sqrt x$ is larger than $x$ by a ratio that tends to infinity. Therefore in that context we say that $x = o(sqrt x)$.



If would be less confusing to make it explicit which limit we're working with, and write something like
$$ sqrt x = mathop o_xtoinfty(x) qquadqquadqquad x = mathop o_xto 0(sqrt x) $$
However, in most practical uses of the notation, the limit is the same throughout the entire calculation, so repeating it for every $o$ would be tedious and distracting. So generally it is left implicit, though one should make it clear before one starts using asymptotic notation which limit one is considering.






share|cite|improve this answer





























    up vote
    0
    down vote













    Your starting point is wrong. $h^2=o(h)$ and not the reverse. $h=o(sqrth)$ and not the reverse.The definition of the Landau notation in the vicinity of a point $x_0$ is $$f=o(g)Leftrightarrowlim_xto x_0fracf(x)g(x)=0$$






    share|cite|improve this answer




















    • "$sqrth$ has slower growth than $h$" is for $h to infty$, and not for $h to 0$ as we have here.
      – GEdgar
      Oct 4 '17 at 23:46











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    2 Answers
    2






    active

    oldest

    votes








    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes








    up vote
    2
    down vote













    Yes, the little-o notation (and Landau symbols in general) behaves differently for $xto 0$ and for $xtoinfty$.



    When we're considering $xtoinfty$ (as you may be familiar with from analysis of algorithms), $sqrt x$ grows slower than $x$ -- because for large $x$, the square root of $x$ is smaller than $x$ by a ratio that becomes ever more lopsided. Therefore in this context we say that $sqrt x = o(x)$.



    On the other hand, if we're considering $xto 0$ (which is more common in analysis), then when $x$ is close to zero, $sqrt x$ is larger than $x$ by a ratio that tends to infinity. Therefore in that context we say that $x = o(sqrt x)$.



    If would be less confusing to make it explicit which limit we're working with, and write something like
    $$ sqrt x = mathop o_xtoinfty(x) qquadqquadqquad x = mathop o_xto 0(sqrt x) $$
    However, in most practical uses of the notation, the limit is the same throughout the entire calculation, so repeating it for every $o$ would be tedious and distracting. So generally it is left implicit, though one should make it clear before one starts using asymptotic notation which limit one is considering.






    share|cite|improve this answer


























      up vote
      2
      down vote













      Yes, the little-o notation (and Landau symbols in general) behaves differently for $xto 0$ and for $xtoinfty$.



      When we're considering $xtoinfty$ (as you may be familiar with from analysis of algorithms), $sqrt x$ grows slower than $x$ -- because for large $x$, the square root of $x$ is smaller than $x$ by a ratio that becomes ever more lopsided. Therefore in this context we say that $sqrt x = o(x)$.



      On the other hand, if we're considering $xto 0$ (which is more common in analysis), then when $x$ is close to zero, $sqrt x$ is larger than $x$ by a ratio that tends to infinity. Therefore in that context we say that $x = o(sqrt x)$.



      If would be less confusing to make it explicit which limit we're working with, and write something like
      $$ sqrt x = mathop o_xtoinfty(x) qquadqquadqquad x = mathop o_xto 0(sqrt x) $$
      However, in most practical uses of the notation, the limit is the same throughout the entire calculation, so repeating it for every $o$ would be tedious and distracting. So generally it is left implicit, though one should make it clear before one starts using asymptotic notation which limit one is considering.






      share|cite|improve this answer
























        up vote
        2
        down vote










        up vote
        2
        down vote









        Yes, the little-o notation (and Landau symbols in general) behaves differently for $xto 0$ and for $xtoinfty$.



        When we're considering $xtoinfty$ (as you may be familiar with from analysis of algorithms), $sqrt x$ grows slower than $x$ -- because for large $x$, the square root of $x$ is smaller than $x$ by a ratio that becomes ever more lopsided. Therefore in this context we say that $sqrt x = o(x)$.



        On the other hand, if we're considering $xto 0$ (which is more common in analysis), then when $x$ is close to zero, $sqrt x$ is larger than $x$ by a ratio that tends to infinity. Therefore in that context we say that $x = o(sqrt x)$.



        If would be less confusing to make it explicit which limit we're working with, and write something like
        $$ sqrt x = mathop o_xtoinfty(x) qquadqquadqquad x = mathop o_xto 0(sqrt x) $$
        However, in most practical uses of the notation, the limit is the same throughout the entire calculation, so repeating it for every $o$ would be tedious and distracting. So generally it is left implicit, though one should make it clear before one starts using asymptotic notation which limit one is considering.






        share|cite|improve this answer














        Yes, the little-o notation (and Landau symbols in general) behaves differently for $xto 0$ and for $xtoinfty$.



        When we're considering $xtoinfty$ (as you may be familiar with from analysis of algorithms), $sqrt x$ grows slower than $x$ -- because for large $x$, the square root of $x$ is smaller than $x$ by a ratio that becomes ever more lopsided. Therefore in this context we say that $sqrt x = o(x)$.



        On the other hand, if we're considering $xto 0$ (which is more common in analysis), then when $x$ is close to zero, $sqrt x$ is larger than $x$ by a ratio that tends to infinity. Therefore in that context we say that $x = o(sqrt x)$.



        If would be less confusing to make it explicit which limit we're working with, and write something like
        $$ sqrt x = mathop o_xtoinfty(x) qquadqquadqquad x = mathop o_xto 0(sqrt x) $$
        However, in most practical uses of the notation, the limit is the same throughout the entire calculation, so repeating it for every $o$ would be tedious and distracting. So generally it is left implicit, though one should make it clear before one starts using asymptotic notation which limit one is considering.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Aug 14 at 12:35

























        answered Aug 14 at 9:16









        Henning Makholm

        228k16293524




        228k16293524




















            up vote
            0
            down vote













            Your starting point is wrong. $h^2=o(h)$ and not the reverse. $h=o(sqrth)$ and not the reverse.The definition of the Landau notation in the vicinity of a point $x_0$ is $$f=o(g)Leftrightarrowlim_xto x_0fracf(x)g(x)=0$$






            share|cite|improve this answer




















            • "$sqrth$ has slower growth than $h$" is for $h to infty$, and not for $h to 0$ as we have here.
              – GEdgar
              Oct 4 '17 at 23:46















            up vote
            0
            down vote













            Your starting point is wrong. $h^2=o(h)$ and not the reverse. $h=o(sqrth)$ and not the reverse.The definition of the Landau notation in the vicinity of a point $x_0$ is $$f=o(g)Leftrightarrowlim_xto x_0fracf(x)g(x)=0$$






            share|cite|improve this answer




















            • "$sqrth$ has slower growth than $h$" is for $h to infty$, and not for $h to 0$ as we have here.
              – GEdgar
              Oct 4 '17 at 23:46













            up vote
            0
            down vote










            up vote
            0
            down vote









            Your starting point is wrong. $h^2=o(h)$ and not the reverse. $h=o(sqrth)$ and not the reverse.The definition of the Landau notation in the vicinity of a point $x_0$ is $$f=o(g)Leftrightarrowlim_xto x_0fracf(x)g(x)=0$$






            share|cite|improve this answer












            Your starting point is wrong. $h^2=o(h)$ and not the reverse. $h=o(sqrth)$ and not the reverse.The definition of the Landau notation in the vicinity of a point $x_0$ is $$f=o(g)Leftrightarrowlim_xto x_0fracf(x)g(x)=0$$







            share|cite|improve this answer












            share|cite|improve this answer



            share|cite|improve this answer










            answered Jan 31 '15 at 8:03









            marwalix

            13.1k12338




            13.1k12338











            • "$sqrth$ has slower growth than $h$" is for $h to infty$, and not for $h to 0$ as we have here.
              – GEdgar
              Oct 4 '17 at 23:46

















            • "$sqrth$ has slower growth than $h$" is for $h to infty$, and not for $h to 0$ as we have here.
              – GEdgar
              Oct 4 '17 at 23:46
















            "$sqrth$ has slower growth than $h$" is for $h to infty$, and not for $h to 0$ as we have here.
            – GEdgar
            Oct 4 '17 at 23:46





            "$sqrth$ has slower growth than $h$" is for $h to infty$, and not for $h to 0$ as we have here.
            – GEdgar
            Oct 4 '17 at 23:46













             

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