How can I prove that $log^k(n) = O(n^epsilon)$?

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How can I prove that $log^k(n) = O(n^epsilon)$?

(for any $epsilon > 0 $ and for any integer and positive $k$).



I tried to do it by - definition , and to prove that exists $c,n_0 > 0$ so that for any $n > n_0 $ exists: $c cdot n^epsilon > log^k(n) $, but I don't have idea how to continue for this point.



I will be happy to listen ideas :).







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  • It's not only $O(n^ε)$, it's even $o(n^ε)$.
    – Bernard
    Jul 20 at 7:57











  • @Bernard Can you prove that please (that it's $o(n^epsilon)$)
    – Software_t
    Jul 20 at 8:04















up vote
1
down vote

favorite












How can I prove that $log^k(n) = O(n^epsilon)$?

(for any $epsilon > 0 $ and for any integer and positive $k$).



I tried to do it by - definition , and to prove that exists $c,n_0 > 0$ so that for any $n > n_0 $ exists: $c cdot n^epsilon > log^k(n) $, but I don't have idea how to continue for this point.



I will be happy to listen ideas :).







share|cite|improve this question





















  • It's not only $O(n^ε)$, it's even $o(n^ε)$.
    – Bernard
    Jul 20 at 7:57











  • @Bernard Can you prove that please (that it's $o(n^epsilon)$)
    – Software_t
    Jul 20 at 8:04













up vote
1
down vote

favorite









up vote
1
down vote

favorite











How can I prove that $log^k(n) = O(n^epsilon)$?

(for any $epsilon > 0 $ and for any integer and positive $k$).



I tried to do it by - definition , and to prove that exists $c,n_0 > 0$ so that for any $n > n_0 $ exists: $c cdot n^epsilon > log^k(n) $, but I don't have idea how to continue for this point.



I will be happy to listen ideas :).







share|cite|improve this question













How can I prove that $log^k(n) = O(n^epsilon)$?

(for any $epsilon > 0 $ and for any integer and positive $k$).



I tried to do it by - definition , and to prove that exists $c,n_0 > 0$ so that for any $n > n_0 $ exists: $c cdot n^epsilon > log^k(n) $, but I don't have idea how to continue for this point.



I will be happy to listen ideas :).









share|cite|improve this question












share|cite|improve this question




share|cite|improve this question








edited Jul 20 at 7:49







user401938
















asked Jul 20 at 7:44









Software_t

1144




1144











  • It's not only $O(n^ε)$, it's even $o(n^ε)$.
    – Bernard
    Jul 20 at 7:57











  • @Bernard Can you prove that please (that it's $o(n^epsilon)$)
    – Software_t
    Jul 20 at 8:04

















  • It's not only $O(n^ε)$, it's even $o(n^ε)$.
    – Bernard
    Jul 20 at 7:57











  • @Bernard Can you prove that please (that it's $o(n^epsilon)$)
    – Software_t
    Jul 20 at 8:04
















It's not only $O(n^ε)$, it's even $o(n^ε)$.
– Bernard
Jul 20 at 7:57





It's not only $O(n^ε)$, it's even $o(n^ε)$.
– Bernard
Jul 20 at 7:57













@Bernard Can you prove that please (that it's $o(n^epsilon)$)
– Software_t
Jul 20 at 8:04





@Bernard Can you prove that please (that it's $o(n^epsilon)$)
– Software_t
Jul 20 at 8:04











5 Answers
5






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0
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accepted










By definition we have



$$log^k(n) = n^epsiloncdot fraclog^k(n)n^epsilon$$



with



$$fraclog^k(n)n^epsilonto 0$$



(refer to Evaluation $lim_nto inftyfraclog^k nn^epsilon$)



therefore



$$log^k(n) = o(n^epsilon)$$






share|cite|improve this answer



















  • 1




    It's not clear to me. Why if $log^k(n) / n^epsilon -> 0 $ so it's say the conclusion you said?
    – Software_t
    Jul 20 at 8:09










  • @Software_t it's a standard limit, refer to math.stackexchange.com/q/1702483/505767
    – gimusi
    Jul 20 at 8:17










  • I know that. but ok, it's going to $0$ , how you get "therefore ..." ? ( $ n rightarrow infty $ )
    – Software_t
    Jul 20 at 8:19











  • @Software_t Recall tha by definition $$f(x)=o(g(x)) iff f(x)=omega(x)cdot g(x)$$ with $omega(x)to 0$.
    – gimusi
    Jul 20 at 8:21










  • @Software_t In that case $g(x)$ is $n^epsilon$ and $omega(x)$ is $fraclog^k(n)n^epsilonto 0$.
    – gimusi
    Jul 20 at 8:23

















up vote
1
down vote













Consider $;logbiggl(dfraclog^knn^εbiggr)$:
$$logbiggl(dfraclog^knn^εbiggr)=klog(log n)-εlog n=-εlog nbiggl(1-frac kεunderbracefraclog(log n)log n_stackreldownarrow0biggr)$$
so the log tends to $-infty$ when $n$ tends to $infty$, i.e.
$$lim_ntoinftydfraclog^knn^ε=0ifflog^kn=o(n^ε),$$
and a fortiori, it is $:O(n^ε)$.






share|cite|improve this answer





















  • Can you explain please why if $;logbiggl(dfraclog^knn^εbiggr) rightarrow - infty $ , so $lim_ntoinftydfraclog^knn^ε=0 $ ?
    – Software_t
    Jul 20 at 8:16











  • You can look at the representative curve of the log, or simply take the inverse function: the exponential of this log tends to $0$.
    – Bernard
    Jul 20 at 8:30

















up vote
1
down vote













It is well known that $log (m)<m$ for all $m>0$. Taking $m=n^epsilon/k$ gives
$$dfracepsilonk log(n)<n^dfracepsilonk$$
and manipulating this equation gives
$$log^k (n)<left(frackepsilon right)^kn^epsilon. $$






share|cite|improve this answer























  • @user108128 I think it does. Doesn't it?
    – user1337
    Jul 22 at 12:35

















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0
down vote













Here we'll try to come up with an explicit lower bound for $n$ instead of using limits. We need to solve $log^k(n) leq n^epsilon$ (Here I assume the big-Oh constant $c=1$). Assuming $n$ large, in particular $n > 1$ we can rewrite $n = e^m$. for some $m > 0$. This gives us to solve:
$$
log^k(n) leq n^epsilon Leftrightarrow m^k leq e^epsilon m
$$
Now for $epsilon, m > 0$, we have
$$
e^epsilon m = sum_i=0^infty frac(epsilon m)^ii! > frac(epsilon m)^k+1(k+1)!
$$
This gives us the implication:
$$
m^k leq frac(epsilon m)^k+1(k+1)! implies m^k leq e^epsilon m
$$
Hence if we manage to solve for $m$ the LHS of the implication, we will have found a satisfying $m$ for the RHS and we will be done. Let's try:
$$
m^k leq frac(epsilon m)^k+1(k+1)! = fracepsilon^k+1(k+1)! m^k+1Leftrightarrow \
1 leq fracepsilon^k+1(k+1)! m Leftrightarrow \
frac(k+1)!epsilon^k+1 leq m
$$
By our definition we have $m = log(n)$, therefore we have the explicit (and awfully loose) bound:



$$
n geq expleft(frac(k+1)!epsilon^k+1right) implies log^k(n) leq n^epsilon
$$



(Note that I assume for simplicity that $c=1$. But it really doesn't matter. This shows that this proof can hold for any $c$, which means that we have the stronger result: $log^k(n) = o(n^epsilon)$)






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    Propositions 1. Function $f(x)=fracx^varepsilonln^kx$ is ascending for large $x>0$.




    Because
    $$f'(x)=fracx^varepsilon-1 (varepsilon ln^kx-k)ln^k+1x>0 iff
    varepsilon ln^kx-k>0 iff
    x> e^sqrt[k]frackvarepsilon$$




    Propositions 2. $limlimits_xrightarrow inftyf(x) rightarrow infty$




    If we assume it is bounded by a large $alpha>0, forall x>1$ and we know $lnx$ is ascending
    $$fracx^varepsilonln^kx < alpha iff
    1<x^varepsilon< alpha ln^kx iff
    colorred0<varepsilon<fraclnalphalnx+fracklnlnxlnxrightarrow colorred0, xrightarrowinfty$$
    which is a contradiction of $varepsilon>0$. So, $f(x)$ is increasing and has no upper bound.



    As a result:
    $$limlimits_nrightarrowinftyfracn^varepsilonln^knrightarrowinfty iff
    limlimits_nrightarrowinftyfracln^knn^varepsilon=0 iff
    ln^kn=oleft(n^varepsilonright)$$






    share|cite|improve this answer























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      5 Answers
      5






      active

      oldest

      votes








      5 Answers
      5






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes








      up vote
      0
      down vote



      accepted










      By definition we have



      $$log^k(n) = n^epsiloncdot fraclog^k(n)n^epsilon$$



      with



      $$fraclog^k(n)n^epsilonto 0$$



      (refer to Evaluation $lim_nto inftyfraclog^k nn^epsilon$)



      therefore



      $$log^k(n) = o(n^epsilon)$$






      share|cite|improve this answer



















      • 1




        It's not clear to me. Why if $log^k(n) / n^epsilon -> 0 $ so it's say the conclusion you said?
        – Software_t
        Jul 20 at 8:09










      • @Software_t it's a standard limit, refer to math.stackexchange.com/q/1702483/505767
        – gimusi
        Jul 20 at 8:17










      • I know that. but ok, it's going to $0$ , how you get "therefore ..." ? ( $ n rightarrow infty $ )
        – Software_t
        Jul 20 at 8:19











      • @Software_t Recall tha by definition $$f(x)=o(g(x)) iff f(x)=omega(x)cdot g(x)$$ with $omega(x)to 0$.
        – gimusi
        Jul 20 at 8:21










      • @Software_t In that case $g(x)$ is $n^epsilon$ and $omega(x)$ is $fraclog^k(n)n^epsilonto 0$.
        – gimusi
        Jul 20 at 8:23














      up vote
      0
      down vote



      accepted










      By definition we have



      $$log^k(n) = n^epsiloncdot fraclog^k(n)n^epsilon$$



      with



      $$fraclog^k(n)n^epsilonto 0$$



      (refer to Evaluation $lim_nto inftyfraclog^k nn^epsilon$)



      therefore



      $$log^k(n) = o(n^epsilon)$$






      share|cite|improve this answer



















      • 1




        It's not clear to me. Why if $log^k(n) / n^epsilon -> 0 $ so it's say the conclusion you said?
        – Software_t
        Jul 20 at 8:09










      • @Software_t it's a standard limit, refer to math.stackexchange.com/q/1702483/505767
        – gimusi
        Jul 20 at 8:17










      • I know that. but ok, it's going to $0$ , how you get "therefore ..." ? ( $ n rightarrow infty $ )
        – Software_t
        Jul 20 at 8:19











      • @Software_t Recall tha by definition $$f(x)=o(g(x)) iff f(x)=omega(x)cdot g(x)$$ with $omega(x)to 0$.
        – gimusi
        Jul 20 at 8:21










      • @Software_t In that case $g(x)$ is $n^epsilon$ and $omega(x)$ is $fraclog^k(n)n^epsilonto 0$.
        – gimusi
        Jul 20 at 8:23












      up vote
      0
      down vote



      accepted







      up vote
      0
      down vote



      accepted






      By definition we have



      $$log^k(n) = n^epsiloncdot fraclog^k(n)n^epsilon$$



      with



      $$fraclog^k(n)n^epsilonto 0$$



      (refer to Evaluation $lim_nto inftyfraclog^k nn^epsilon$)



      therefore



      $$log^k(n) = o(n^epsilon)$$






      share|cite|improve this answer















      By definition we have



      $$log^k(n) = n^epsiloncdot fraclog^k(n)n^epsilon$$



      with



      $$fraclog^k(n)n^epsilonto 0$$



      (refer to Evaluation $lim_nto inftyfraclog^k nn^epsilon$)



      therefore



      $$log^k(n) = o(n^epsilon)$$







      share|cite|improve this answer















      share|cite|improve this answer



      share|cite|improve this answer








      edited Jul 20 at 8:17


























      answered Jul 20 at 8:07









      gimusi

      65.4k73584




      65.4k73584







      • 1




        It's not clear to me. Why if $log^k(n) / n^epsilon -> 0 $ so it's say the conclusion you said?
        – Software_t
        Jul 20 at 8:09










      • @Software_t it's a standard limit, refer to math.stackexchange.com/q/1702483/505767
        – gimusi
        Jul 20 at 8:17










      • I know that. but ok, it's going to $0$ , how you get "therefore ..." ? ( $ n rightarrow infty $ )
        – Software_t
        Jul 20 at 8:19











      • @Software_t Recall tha by definition $$f(x)=o(g(x)) iff f(x)=omega(x)cdot g(x)$$ with $omega(x)to 0$.
        – gimusi
        Jul 20 at 8:21










      • @Software_t In that case $g(x)$ is $n^epsilon$ and $omega(x)$ is $fraclog^k(n)n^epsilonto 0$.
        – gimusi
        Jul 20 at 8:23












      • 1




        It's not clear to me. Why if $log^k(n) / n^epsilon -> 0 $ so it's say the conclusion you said?
        – Software_t
        Jul 20 at 8:09










      • @Software_t it's a standard limit, refer to math.stackexchange.com/q/1702483/505767
        – gimusi
        Jul 20 at 8:17










      • I know that. but ok, it's going to $0$ , how you get "therefore ..." ? ( $ n rightarrow infty $ )
        – Software_t
        Jul 20 at 8:19











      • @Software_t Recall tha by definition $$f(x)=o(g(x)) iff f(x)=omega(x)cdot g(x)$$ with $omega(x)to 0$.
        – gimusi
        Jul 20 at 8:21










      • @Software_t In that case $g(x)$ is $n^epsilon$ and $omega(x)$ is $fraclog^k(n)n^epsilonto 0$.
        – gimusi
        Jul 20 at 8:23







      1




      1




      It's not clear to me. Why if $log^k(n) / n^epsilon -> 0 $ so it's say the conclusion you said?
      – Software_t
      Jul 20 at 8:09




      It's not clear to me. Why if $log^k(n) / n^epsilon -> 0 $ so it's say the conclusion you said?
      – Software_t
      Jul 20 at 8:09












      @Software_t it's a standard limit, refer to math.stackexchange.com/q/1702483/505767
      – gimusi
      Jul 20 at 8:17




      @Software_t it's a standard limit, refer to math.stackexchange.com/q/1702483/505767
      – gimusi
      Jul 20 at 8:17












      I know that. but ok, it's going to $0$ , how you get "therefore ..." ? ( $ n rightarrow infty $ )
      – Software_t
      Jul 20 at 8:19





      I know that. but ok, it's going to $0$ , how you get "therefore ..." ? ( $ n rightarrow infty $ )
      – Software_t
      Jul 20 at 8:19













      @Software_t Recall tha by definition $$f(x)=o(g(x)) iff f(x)=omega(x)cdot g(x)$$ with $omega(x)to 0$.
      – gimusi
      Jul 20 at 8:21




      @Software_t Recall tha by definition $$f(x)=o(g(x)) iff f(x)=omega(x)cdot g(x)$$ with $omega(x)to 0$.
      – gimusi
      Jul 20 at 8:21












      @Software_t In that case $g(x)$ is $n^epsilon$ and $omega(x)$ is $fraclog^k(n)n^epsilonto 0$.
      – gimusi
      Jul 20 at 8:23




      @Software_t In that case $g(x)$ is $n^epsilon$ and $omega(x)$ is $fraclog^k(n)n^epsilonto 0$.
      – gimusi
      Jul 20 at 8:23










      up vote
      1
      down vote













      Consider $;logbiggl(dfraclog^knn^εbiggr)$:
      $$logbiggl(dfraclog^knn^εbiggr)=klog(log n)-εlog n=-εlog nbiggl(1-frac kεunderbracefraclog(log n)log n_stackreldownarrow0biggr)$$
      so the log tends to $-infty$ when $n$ tends to $infty$, i.e.
      $$lim_ntoinftydfraclog^knn^ε=0ifflog^kn=o(n^ε),$$
      and a fortiori, it is $:O(n^ε)$.






      share|cite|improve this answer





















      • Can you explain please why if $;logbiggl(dfraclog^knn^εbiggr) rightarrow - infty $ , so $lim_ntoinftydfraclog^knn^ε=0 $ ?
        – Software_t
        Jul 20 at 8:16











      • You can look at the representative curve of the log, or simply take the inverse function: the exponential of this log tends to $0$.
        – Bernard
        Jul 20 at 8:30














      up vote
      1
      down vote













      Consider $;logbiggl(dfraclog^knn^εbiggr)$:
      $$logbiggl(dfraclog^knn^εbiggr)=klog(log n)-εlog n=-εlog nbiggl(1-frac kεunderbracefraclog(log n)log n_stackreldownarrow0biggr)$$
      so the log tends to $-infty$ when $n$ tends to $infty$, i.e.
      $$lim_ntoinftydfraclog^knn^ε=0ifflog^kn=o(n^ε),$$
      and a fortiori, it is $:O(n^ε)$.






      share|cite|improve this answer





















      • Can you explain please why if $;logbiggl(dfraclog^knn^εbiggr) rightarrow - infty $ , so $lim_ntoinftydfraclog^knn^ε=0 $ ?
        – Software_t
        Jul 20 at 8:16











      • You can look at the representative curve of the log, or simply take the inverse function: the exponential of this log tends to $0$.
        – Bernard
        Jul 20 at 8:30












      up vote
      1
      down vote










      up vote
      1
      down vote









      Consider $;logbiggl(dfraclog^knn^εbiggr)$:
      $$logbiggl(dfraclog^knn^εbiggr)=klog(log n)-εlog n=-εlog nbiggl(1-frac kεunderbracefraclog(log n)log n_stackreldownarrow0biggr)$$
      so the log tends to $-infty$ when $n$ tends to $infty$, i.e.
      $$lim_ntoinftydfraclog^knn^ε=0ifflog^kn=o(n^ε),$$
      and a fortiori, it is $:O(n^ε)$.






      share|cite|improve this answer













      Consider $;logbiggl(dfraclog^knn^εbiggr)$:
      $$logbiggl(dfraclog^knn^εbiggr)=klog(log n)-εlog n=-εlog nbiggl(1-frac kεunderbracefraclog(log n)log n_stackreldownarrow0biggr)$$
      so the log tends to $-infty$ when $n$ tends to $infty$, i.e.
      $$lim_ntoinftydfraclog^knn^ε=0ifflog^kn=o(n^ε),$$
      and a fortiori, it is $:O(n^ε)$.







      share|cite|improve this answer













      share|cite|improve this answer



      share|cite|improve this answer











      answered Jul 20 at 8:09









      Bernard

      110k635103




      110k635103











      • Can you explain please why if $;logbiggl(dfraclog^knn^εbiggr) rightarrow - infty $ , so $lim_ntoinftydfraclog^knn^ε=0 $ ?
        – Software_t
        Jul 20 at 8:16











      • You can look at the representative curve of the log, or simply take the inverse function: the exponential of this log tends to $0$.
        – Bernard
        Jul 20 at 8:30
















      • Can you explain please why if $;logbiggl(dfraclog^knn^εbiggr) rightarrow - infty $ , so $lim_ntoinftydfraclog^knn^ε=0 $ ?
        – Software_t
        Jul 20 at 8:16











      • You can look at the representative curve of the log, or simply take the inverse function: the exponential of this log tends to $0$.
        – Bernard
        Jul 20 at 8:30















      Can you explain please why if $;logbiggl(dfraclog^knn^εbiggr) rightarrow - infty $ , so $lim_ntoinftydfraclog^knn^ε=0 $ ?
      – Software_t
      Jul 20 at 8:16





      Can you explain please why if $;logbiggl(dfraclog^knn^εbiggr) rightarrow - infty $ , so $lim_ntoinftydfraclog^knn^ε=0 $ ?
      – Software_t
      Jul 20 at 8:16













      You can look at the representative curve of the log, or simply take the inverse function: the exponential of this log tends to $0$.
      – Bernard
      Jul 20 at 8:30




      You can look at the representative curve of the log, or simply take the inverse function: the exponential of this log tends to $0$.
      – Bernard
      Jul 20 at 8:30










      up vote
      1
      down vote













      It is well known that $log (m)<m$ for all $m>0$. Taking $m=n^epsilon/k$ gives
      $$dfracepsilonk log(n)<n^dfracepsilonk$$
      and manipulating this equation gives
      $$log^k (n)<left(frackepsilon right)^kn^epsilon. $$






      share|cite|improve this answer























      • @user108128 I think it does. Doesn't it?
        – user1337
        Jul 22 at 12:35














      up vote
      1
      down vote













      It is well known that $log (m)<m$ for all $m>0$. Taking $m=n^epsilon/k$ gives
      $$dfracepsilonk log(n)<n^dfracepsilonk$$
      and manipulating this equation gives
      $$log^k (n)<left(frackepsilon right)^kn^epsilon. $$






      share|cite|improve this answer























      • @user108128 I think it does. Doesn't it?
        – user1337
        Jul 22 at 12:35












      up vote
      1
      down vote










      up vote
      1
      down vote









      It is well known that $log (m)<m$ for all $m>0$. Taking $m=n^epsilon/k$ gives
      $$dfracepsilonk log(n)<n^dfracepsilonk$$
      and manipulating this equation gives
      $$log^k (n)<left(frackepsilon right)^kn^epsilon. $$






      share|cite|improve this answer















      It is well known that $log (m)<m$ for all $m>0$. Taking $m=n^epsilon/k$ gives
      $$dfracepsilonk log(n)<n^dfracepsilonk$$
      and manipulating this equation gives
      $$log^k (n)<left(frackepsilon right)^kn^epsilon. $$







      share|cite|improve this answer















      share|cite|improve this answer



      share|cite|improve this answer








      edited Jul 28 at 8:36









      Nosrati

      19.5k41544




      19.5k41544











      answered Jul 20 at 8:40









      user1337

      16.5k42989




      16.5k42989











      • @user108128 I think it does. Doesn't it?
        – user1337
        Jul 22 at 12:35
















      • @user108128 I think it does. Doesn't it?
        – user1337
        Jul 22 at 12:35















      @user108128 I think it does. Doesn't it?
      – user1337
      Jul 22 at 12:35




      @user108128 I think it does. Doesn't it?
      – user1337
      Jul 22 at 12:35










      up vote
      0
      down vote













      Here we'll try to come up with an explicit lower bound for $n$ instead of using limits. We need to solve $log^k(n) leq n^epsilon$ (Here I assume the big-Oh constant $c=1$). Assuming $n$ large, in particular $n > 1$ we can rewrite $n = e^m$. for some $m > 0$. This gives us to solve:
      $$
      log^k(n) leq n^epsilon Leftrightarrow m^k leq e^epsilon m
      $$
      Now for $epsilon, m > 0$, we have
      $$
      e^epsilon m = sum_i=0^infty frac(epsilon m)^ii! > frac(epsilon m)^k+1(k+1)!
      $$
      This gives us the implication:
      $$
      m^k leq frac(epsilon m)^k+1(k+1)! implies m^k leq e^epsilon m
      $$
      Hence if we manage to solve for $m$ the LHS of the implication, we will have found a satisfying $m$ for the RHS and we will be done. Let's try:
      $$
      m^k leq frac(epsilon m)^k+1(k+1)! = fracepsilon^k+1(k+1)! m^k+1Leftrightarrow \
      1 leq fracepsilon^k+1(k+1)! m Leftrightarrow \
      frac(k+1)!epsilon^k+1 leq m
      $$
      By our definition we have $m = log(n)$, therefore we have the explicit (and awfully loose) bound:



      $$
      n geq expleft(frac(k+1)!epsilon^k+1right) implies log^k(n) leq n^epsilon
      $$



      (Note that I assume for simplicity that $c=1$. But it really doesn't matter. This shows that this proof can hold for any $c$, which means that we have the stronger result: $log^k(n) = o(n^epsilon)$)






      share|cite|improve this answer



























        up vote
        0
        down vote













        Here we'll try to come up with an explicit lower bound for $n$ instead of using limits. We need to solve $log^k(n) leq n^epsilon$ (Here I assume the big-Oh constant $c=1$). Assuming $n$ large, in particular $n > 1$ we can rewrite $n = e^m$. for some $m > 0$. This gives us to solve:
        $$
        log^k(n) leq n^epsilon Leftrightarrow m^k leq e^epsilon m
        $$
        Now for $epsilon, m > 0$, we have
        $$
        e^epsilon m = sum_i=0^infty frac(epsilon m)^ii! > frac(epsilon m)^k+1(k+1)!
        $$
        This gives us the implication:
        $$
        m^k leq frac(epsilon m)^k+1(k+1)! implies m^k leq e^epsilon m
        $$
        Hence if we manage to solve for $m$ the LHS of the implication, we will have found a satisfying $m$ for the RHS and we will be done. Let's try:
        $$
        m^k leq frac(epsilon m)^k+1(k+1)! = fracepsilon^k+1(k+1)! m^k+1Leftrightarrow \
        1 leq fracepsilon^k+1(k+1)! m Leftrightarrow \
        frac(k+1)!epsilon^k+1 leq m
        $$
        By our definition we have $m = log(n)$, therefore we have the explicit (and awfully loose) bound:



        $$
        n geq expleft(frac(k+1)!epsilon^k+1right) implies log^k(n) leq n^epsilon
        $$



        (Note that I assume for simplicity that $c=1$. But it really doesn't matter. This shows that this proof can hold for any $c$, which means that we have the stronger result: $log^k(n) = o(n^epsilon)$)






        share|cite|improve this answer

























          up vote
          0
          down vote










          up vote
          0
          down vote









          Here we'll try to come up with an explicit lower bound for $n$ instead of using limits. We need to solve $log^k(n) leq n^epsilon$ (Here I assume the big-Oh constant $c=1$). Assuming $n$ large, in particular $n > 1$ we can rewrite $n = e^m$. for some $m > 0$. This gives us to solve:
          $$
          log^k(n) leq n^epsilon Leftrightarrow m^k leq e^epsilon m
          $$
          Now for $epsilon, m > 0$, we have
          $$
          e^epsilon m = sum_i=0^infty frac(epsilon m)^ii! > frac(epsilon m)^k+1(k+1)!
          $$
          This gives us the implication:
          $$
          m^k leq frac(epsilon m)^k+1(k+1)! implies m^k leq e^epsilon m
          $$
          Hence if we manage to solve for $m$ the LHS of the implication, we will have found a satisfying $m$ for the RHS and we will be done. Let's try:
          $$
          m^k leq frac(epsilon m)^k+1(k+1)! = fracepsilon^k+1(k+1)! m^k+1Leftrightarrow \
          1 leq fracepsilon^k+1(k+1)! m Leftrightarrow \
          frac(k+1)!epsilon^k+1 leq m
          $$
          By our definition we have $m = log(n)$, therefore we have the explicit (and awfully loose) bound:



          $$
          n geq expleft(frac(k+1)!epsilon^k+1right) implies log^k(n) leq n^epsilon
          $$



          (Note that I assume for simplicity that $c=1$. But it really doesn't matter. This shows that this proof can hold for any $c$, which means that we have the stronger result: $log^k(n) = o(n^epsilon)$)






          share|cite|improve this answer















          Here we'll try to come up with an explicit lower bound for $n$ instead of using limits. We need to solve $log^k(n) leq n^epsilon$ (Here I assume the big-Oh constant $c=1$). Assuming $n$ large, in particular $n > 1$ we can rewrite $n = e^m$. for some $m > 0$. This gives us to solve:
          $$
          log^k(n) leq n^epsilon Leftrightarrow m^k leq e^epsilon m
          $$
          Now for $epsilon, m > 0$, we have
          $$
          e^epsilon m = sum_i=0^infty frac(epsilon m)^ii! > frac(epsilon m)^k+1(k+1)!
          $$
          This gives us the implication:
          $$
          m^k leq frac(epsilon m)^k+1(k+1)! implies m^k leq e^epsilon m
          $$
          Hence if we manage to solve for $m$ the LHS of the implication, we will have found a satisfying $m$ for the RHS and we will be done. Let's try:
          $$
          m^k leq frac(epsilon m)^k+1(k+1)! = fracepsilon^k+1(k+1)! m^k+1Leftrightarrow \
          1 leq fracepsilon^k+1(k+1)! m Leftrightarrow \
          frac(k+1)!epsilon^k+1 leq m
          $$
          By our definition we have $m = log(n)$, therefore we have the explicit (and awfully loose) bound:



          $$
          n geq expleft(frac(k+1)!epsilon^k+1right) implies log^k(n) leq n^epsilon
          $$



          (Note that I assume for simplicity that $c=1$. But it really doesn't matter. This shows that this proof can hold for any $c$, which means that we have the stronger result: $log^k(n) = o(n^epsilon)$)







          share|cite|improve this answer















          share|cite|improve this answer



          share|cite|improve this answer








          edited Jul 20 at 8:13


























          answered Jul 20 at 8:05









          Zubzub

          3,8341921




          3,8341921




















              up vote
              0
              down vote














              Propositions 1. Function $f(x)=fracx^varepsilonln^kx$ is ascending for large $x>0$.




              Because
              $$f'(x)=fracx^varepsilon-1 (varepsilon ln^kx-k)ln^k+1x>0 iff
              varepsilon ln^kx-k>0 iff
              x> e^sqrt[k]frackvarepsilon$$




              Propositions 2. $limlimits_xrightarrow inftyf(x) rightarrow infty$




              If we assume it is bounded by a large $alpha>0, forall x>1$ and we know $lnx$ is ascending
              $$fracx^varepsilonln^kx < alpha iff
              1<x^varepsilon< alpha ln^kx iff
              colorred0<varepsilon<fraclnalphalnx+fracklnlnxlnxrightarrow colorred0, xrightarrowinfty$$
              which is a contradiction of $varepsilon>0$. So, $f(x)$ is increasing and has no upper bound.



              As a result:
              $$limlimits_nrightarrowinftyfracn^varepsilonln^knrightarrowinfty iff
              limlimits_nrightarrowinftyfracln^knn^varepsilon=0 iff
              ln^kn=oleft(n^varepsilonright)$$






              share|cite|improve this answer



























                up vote
                0
                down vote














                Propositions 1. Function $f(x)=fracx^varepsilonln^kx$ is ascending for large $x>0$.




                Because
                $$f'(x)=fracx^varepsilon-1 (varepsilon ln^kx-k)ln^k+1x>0 iff
                varepsilon ln^kx-k>0 iff
                x> e^sqrt[k]frackvarepsilon$$




                Propositions 2. $limlimits_xrightarrow inftyf(x) rightarrow infty$




                If we assume it is bounded by a large $alpha>0, forall x>1$ and we know $lnx$ is ascending
                $$fracx^varepsilonln^kx < alpha iff
                1<x^varepsilon< alpha ln^kx iff
                colorred0<varepsilon<fraclnalphalnx+fracklnlnxlnxrightarrow colorred0, xrightarrowinfty$$
                which is a contradiction of $varepsilon>0$. So, $f(x)$ is increasing and has no upper bound.



                As a result:
                $$limlimits_nrightarrowinftyfracn^varepsilonln^knrightarrowinfty iff
                limlimits_nrightarrowinftyfracln^knn^varepsilon=0 iff
                ln^kn=oleft(n^varepsilonright)$$






                share|cite|improve this answer

























                  up vote
                  0
                  down vote










                  up vote
                  0
                  down vote










                  Propositions 1. Function $f(x)=fracx^varepsilonln^kx$ is ascending for large $x>0$.




                  Because
                  $$f'(x)=fracx^varepsilon-1 (varepsilon ln^kx-k)ln^k+1x>0 iff
                  varepsilon ln^kx-k>0 iff
                  x> e^sqrt[k]frackvarepsilon$$




                  Propositions 2. $limlimits_xrightarrow inftyf(x) rightarrow infty$




                  If we assume it is bounded by a large $alpha>0, forall x>1$ and we know $lnx$ is ascending
                  $$fracx^varepsilonln^kx < alpha iff
                  1<x^varepsilon< alpha ln^kx iff
                  colorred0<varepsilon<fraclnalphalnx+fracklnlnxlnxrightarrow colorred0, xrightarrowinfty$$
                  which is a contradiction of $varepsilon>0$. So, $f(x)$ is increasing and has no upper bound.



                  As a result:
                  $$limlimits_nrightarrowinftyfracn^varepsilonln^knrightarrowinfty iff
                  limlimits_nrightarrowinftyfracln^knn^varepsilon=0 iff
                  ln^kn=oleft(n^varepsilonright)$$






                  share|cite|improve this answer
















                  Propositions 1. Function $f(x)=fracx^varepsilonln^kx$ is ascending for large $x>0$.




                  Because
                  $$f'(x)=fracx^varepsilon-1 (varepsilon ln^kx-k)ln^k+1x>0 iff
                  varepsilon ln^kx-k>0 iff
                  x> e^sqrt[k]frackvarepsilon$$




                  Propositions 2. $limlimits_xrightarrow inftyf(x) rightarrow infty$




                  If we assume it is bounded by a large $alpha>0, forall x>1$ and we know $lnx$ is ascending
                  $$fracx^varepsilonln^kx < alpha iff
                  1<x^varepsilon< alpha ln^kx iff
                  colorred0<varepsilon<fraclnalphalnx+fracklnlnxlnxrightarrow colorred0, xrightarrowinfty$$
                  which is a contradiction of $varepsilon>0$. So, $f(x)$ is increasing and has no upper bound.



                  As a result:
                  $$limlimits_nrightarrowinftyfracn^varepsilonln^knrightarrowinfty iff
                  limlimits_nrightarrowinftyfracln^knn^varepsilon=0 iff
                  ln^kn=oleft(n^varepsilonright)$$







                  share|cite|improve this answer















                  share|cite|improve this answer



                  share|cite|improve this answer








                  edited Jul 20 at 8:43


























                  answered Jul 20 at 8:31









                  rtybase

                  8,86721433




                  8,86721433






















                       

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