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 :).
calculus asymptotics
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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 :).
calculus asymptotics
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
add a comment |Â
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 :).
calculus asymptotics
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 :).
calculus asymptotics
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
add a comment |Â
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
add a comment |Â
5 Answers
5
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up vote
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
$$log^k(n) = o(n^epsilon)$$
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
 |Â
show 2 more comments
up vote
1
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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 $:O(n^ε)$.
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
add a comment |Â
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
$$log^k (n)<left(frackepsilon right)^kn^epsilon. $$
@user108128 I think it does. Doesn't it?
– user1337
Jul 22 at 12:35
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up vote
0
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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: $log^k(n) = o(n^epsilon)$)
add a comment |Â
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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:
$$limlimits_nrightarrowinftyfracn^varepsilonln^knrightarrowinfty iff
limlimits_nrightarrowinftyfracln^knn^varepsilon=0 iff
ln^kn=oleft(n^varepsilonright)$$
add a comment |Â
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
$$log^k(n) = o(n^epsilon)$$
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
 |Â
show 2 more comments
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
$$log^k(n) = o(n^epsilon)$$
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
 |Â
show 2 more comments
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
$$log^k(n) = o(n^epsilon)$$
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
$$log^k(n) = o(n^epsilon)$$
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
 |Â
show 2 more comments
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
 |Â
show 2 more comments
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 $:O(n^ε)$.
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
add a comment |Â
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 $:O(n^ε)$.
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
add a comment |Â
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 $:O(n^ε)$.
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 $:O(n^ε)$.
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
add a comment |Â
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
add a comment |Â
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
$$log^k (n)<left(frackepsilon right)^kn^epsilon. $$
@user108128 I think it does. Doesn't it?
– user1337
Jul 22 at 12:35
add a comment |Â
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
$$log^k (n)<left(frackepsilon right)^kn^epsilon. $$
@user108128 I think it does. Doesn't it?
– user1337
Jul 22 at 12:35
add a comment |Â
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
$$log^k (n)<left(frackepsilon right)^kn^epsilon. $$
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
$$log^k (n)<left(frackepsilon right)^kn^epsilon. $$
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
add a comment |Â
@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
add a comment |Â
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: $log^k(n) = o(n^epsilon)$)
add a comment |Â
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: $log^k(n) = o(n^epsilon)$)
add a comment |Â
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: $log^k(n) = o(n^epsilon)$)
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: $log^k(n) = o(n^epsilon)$)
edited Jul 20 at 8:13
answered Jul 20 at 8:05


Zubzub
3,8341921
3,8341921
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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:
$$limlimits_nrightarrowinftyfracn^varepsilonln^knrightarrowinfty iff
limlimits_nrightarrowinftyfracln^knn^varepsilon=0 iff
ln^kn=oleft(n^varepsilonright)$$
add a comment |Â
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:
$$limlimits_nrightarrowinftyfracn^varepsilonln^knrightarrowinfty iff
limlimits_nrightarrowinftyfracln^knn^varepsilon=0 iff
ln^kn=oleft(n^varepsilonright)$$
add a comment |Â
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:
$$limlimits_nrightarrowinftyfracn^varepsilonln^knrightarrowinfty iff
limlimits_nrightarrowinftyfracln^knn^varepsilon=0 iff
ln^kn=oleft(n^varepsilonright)$$
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:
$$limlimits_nrightarrowinftyfracn^varepsilonln^knrightarrowinfty iff
limlimits_nrightarrowinftyfracln^knn^varepsilon=0 iff
ln^kn=oleft(n^varepsilonright)$$
edited Jul 20 at 8:43
answered Jul 20 at 8:31
rtybase
8,86721433
8,86721433
add a comment |Â
add a comment |Â
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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