Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. $f(n) = n + (log n)^{2}$, $g(n) = n...
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Determinant is linear as a function of each of the rows of the matrix.
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Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. $f(n) = n + (log n)^{2}$, $g(n) = n + log(n^{2})$.
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Finding whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$.How many fours are needed to represent numbers up to $N$?Prove $log x!$ is $Omega (xlogx)$Prove the big thetaIterated integer-valued decimationDesign an algorithm - Median, computer scienceIs there standard terminology to describe the not-quite-a-limit behavior of ${tan( log x) over x}$ as x approaches infinity?Prove $log(n!) =Omega(nlog(n))$Horizontal asymtote with vertical asymtotesProve whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. $f(n) = n$, $g(n) = (log n)^c$ for positive integer $c$.Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$ for given $f$ and $g$
$begingroup$
$f(n) = n + (log n)^{2} , g(n) = n + log(n^{2} ).$
Now so far I've done $g(n) = n+ 2log(n)$
and then I think since its the same change to both, I can remove $n$.
leaving me with $f(n) = (log n)^{2}$ and $g(n) = 2log(n)$ now if I do $f(n)/g(n)$ I get
$((log n)^{2}) / (2log n)$
and since the numerator is growing exponentially and the bottom is growing linearly? As we approach positive infinity the function approaches positive infinity. Thus $f(n)$ is $omega$ of $g(n)$?
I don't know if this proof is done right, if its what is a better alternative? I am still new to this and learning!
discrete-mathematics asymptotics computer-science
$endgroup$
add a comment |
$begingroup$
$f(n) = n + (log n)^{2} , g(n) = n + log(n^{2} ).$
Now so far I've done $g(n) = n+ 2log(n)$
and then I think since its the same change to both, I can remove $n$.
leaving me with $f(n) = (log n)^{2}$ and $g(n) = 2log(n)$ now if I do $f(n)/g(n)$ I get
$((log n)^{2}) / (2log n)$
and since the numerator is growing exponentially and the bottom is growing linearly? As we approach positive infinity the function approaches positive infinity. Thus $f(n)$ is $omega$ of $g(n)$?
I don't know if this proof is done right, if its what is a better alternative? I am still new to this and learning!
discrete-mathematics asymptotics computer-science
$endgroup$
$begingroup$
Don't remove $n$. Do $lim_{ntoinfty}frac{n+(log(n))^2}{n+2log(n)}=lim_{ntoinfty}frac{1+(log(n))^2/n}{1+2(log(n))/n}=1$.
$endgroup$
– user647486
Mar 23 at 23:43
$begingroup$
what should I do instead then?
$endgroup$
– Brownie
Mar 23 at 23:44
add a comment |
$begingroup$
$f(n) = n + (log n)^{2} , g(n) = n + log(n^{2} ).$
Now so far I've done $g(n) = n+ 2log(n)$
and then I think since its the same change to both, I can remove $n$.
leaving me with $f(n) = (log n)^{2}$ and $g(n) = 2log(n)$ now if I do $f(n)/g(n)$ I get
$((log n)^{2}) / (2log n)$
and since the numerator is growing exponentially and the bottom is growing linearly? As we approach positive infinity the function approaches positive infinity. Thus $f(n)$ is $omega$ of $g(n)$?
I don't know if this proof is done right, if its what is a better alternative? I am still new to this and learning!
discrete-mathematics asymptotics computer-science
$endgroup$
$f(n) = n + (log n)^{2} , g(n) = n + log(n^{2} ).$
Now so far I've done $g(n) = n+ 2log(n)$
and then I think since its the same change to both, I can remove $n$.
leaving me with $f(n) = (log n)^{2}$ and $g(n) = 2log(n)$ now if I do $f(n)/g(n)$ I get
$((log n)^{2}) / (2log n)$
and since the numerator is growing exponentially and the bottom is growing linearly? As we approach positive infinity the function approaches positive infinity. Thus $f(n)$ is $omega$ of $g(n)$?
I don't know if this proof is done right, if its what is a better alternative? I am still new to this and learning!
discrete-mathematics asymptotics computer-science
discrete-mathematics asymptotics computer-science
edited Mar 24 at 3:00
Rócherz
3,0263823
3,0263823
asked Mar 23 at 23:32
BrownieBrownie
3327
3327
$begingroup$
Don't remove $n$. Do $lim_{ntoinfty}frac{n+(log(n))^2}{n+2log(n)}=lim_{ntoinfty}frac{1+(log(n))^2/n}{1+2(log(n))/n}=1$.
$endgroup$
– user647486
Mar 23 at 23:43
$begingroup$
what should I do instead then?
$endgroup$
– Brownie
Mar 23 at 23:44
add a comment |
$begingroup$
Don't remove $n$. Do $lim_{ntoinfty}frac{n+(log(n))^2}{n+2log(n)}=lim_{ntoinfty}frac{1+(log(n))^2/n}{1+2(log(n))/n}=1$.
$endgroup$
– user647486
Mar 23 at 23:43
$begingroup$
what should I do instead then?
$endgroup$
– Brownie
Mar 23 at 23:44
$begingroup$
Don't remove $n$. Do $lim_{ntoinfty}frac{n+(log(n))^2}{n+2log(n)}=lim_{ntoinfty}frac{1+(log(n))^2/n}{1+2(log(n))/n}=1$.
$endgroup$
– user647486
Mar 23 at 23:43
$begingroup$
Don't remove $n$. Do $lim_{ntoinfty}frac{n+(log(n))^2}{n+2log(n)}=lim_{ntoinfty}frac{1+(log(n))^2/n}{1+2(log(n))/n}=1$.
$endgroup$
– user647486
Mar 23 at 23:43
$begingroup$
what should I do instead then?
$endgroup$
– Brownie
Mar 23 at 23:44
$begingroup$
what should I do instead then?
$endgroup$
– Brownie
Mar 23 at 23:44
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
$frac {f(n)} {g(n)}=frac {n+(log, n)^{2}}{ n+2log, n}=frac {1+(log, n)^{2}/n} { 1+2(log, n)/n} to 1$
$endgroup$
$begingroup$
Did you just divide by n on the top and bottom?
$endgroup$
– Brownie
Mar 23 at 23:50
$begingroup$
@Brownie Yes, that is what I did. To see that the second terms in the numerator and denominator both tend to $0$ you can apply L'Hopital's rule.
$endgroup$
– Kavi Rama Murthy
Mar 23 at 23:51
$begingroup$
Sorry I know this is a bit later, I still dont understand how the f(n)/g(n) tends to 1. The numerator and denominator tend towards 0 as it is, and even after applying l'hopital's rule. I am confused
$endgroup$
– Brownie
Mar 25 at 20:10
1
$begingroup$
@Brownie Use L'Hopital's Rule to show that $frac {log, n} n to 0$ and $frac {(log, n)^{2}} n to 0$.
$endgroup$
– Kavi Rama Murthy
Mar 25 at 23:04
add a comment |
$begingroup$
You're pretty much done with $O$ by doing the $g(n) = n+ 2log(n)$ transformation, since
$$f(n) = n + (log n)^{2} \
g(n) = n + 2 log(n)$$
Assuming that $log$ means $ln$:
$$forall n ge 8 quad f(n) > g(n)$$
Since $ln(8) > 2$, and $ln$ is monotone increasing.
This means that $g(n) = O(f(n))$.
$endgroup$
$begingroup$
log is base 2 in this case
$endgroup$
– Brownie
Mar 23 at 23:55
$begingroup$
Which is less information than $fsim g$.
$endgroup$
– user647486
Mar 23 at 23:59
add a comment |
Your Answer
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
$frac {f(n)} {g(n)}=frac {n+(log, n)^{2}}{ n+2log, n}=frac {1+(log, n)^{2}/n} { 1+2(log, n)/n} to 1$
$endgroup$
$begingroup$
Did you just divide by n on the top and bottom?
$endgroup$
– Brownie
Mar 23 at 23:50
$begingroup$
@Brownie Yes, that is what I did. To see that the second terms in the numerator and denominator both tend to $0$ you can apply L'Hopital's rule.
$endgroup$
– Kavi Rama Murthy
Mar 23 at 23:51
$begingroup$
Sorry I know this is a bit later, I still dont understand how the f(n)/g(n) tends to 1. The numerator and denominator tend towards 0 as it is, and even after applying l'hopital's rule. I am confused
$endgroup$
– Brownie
Mar 25 at 20:10
1
$begingroup$
@Brownie Use L'Hopital's Rule to show that $frac {log, n} n to 0$ and $frac {(log, n)^{2}} n to 0$.
$endgroup$
– Kavi Rama Murthy
Mar 25 at 23:04
add a comment |
$begingroup$
$frac {f(n)} {g(n)}=frac {n+(log, n)^{2}}{ n+2log, n}=frac {1+(log, n)^{2}/n} { 1+2(log, n)/n} to 1$
$endgroup$
$begingroup$
Did you just divide by n on the top and bottom?
$endgroup$
– Brownie
Mar 23 at 23:50
$begingroup$
@Brownie Yes, that is what I did. To see that the second terms in the numerator and denominator both tend to $0$ you can apply L'Hopital's rule.
$endgroup$
– Kavi Rama Murthy
Mar 23 at 23:51
$begingroup$
Sorry I know this is a bit later, I still dont understand how the f(n)/g(n) tends to 1. The numerator and denominator tend towards 0 as it is, and even after applying l'hopital's rule. I am confused
$endgroup$
– Brownie
Mar 25 at 20:10
1
$begingroup$
@Brownie Use L'Hopital's Rule to show that $frac {log, n} n to 0$ and $frac {(log, n)^{2}} n to 0$.
$endgroup$
– Kavi Rama Murthy
Mar 25 at 23:04
add a comment |
$begingroup$
$frac {f(n)} {g(n)}=frac {n+(log, n)^{2}}{ n+2log, n}=frac {1+(log, n)^{2}/n} { 1+2(log, n)/n} to 1$
$endgroup$
$frac {f(n)} {g(n)}=frac {n+(log, n)^{2}}{ n+2log, n}=frac {1+(log, n)^{2}/n} { 1+2(log, n)/n} to 1$
answered Mar 23 at 23:47
Kavi Rama MurthyKavi Rama Murthy
74.9k53270
74.9k53270
$begingroup$
Did you just divide by n on the top and bottom?
$endgroup$
– Brownie
Mar 23 at 23:50
$begingroup$
@Brownie Yes, that is what I did. To see that the second terms in the numerator and denominator both tend to $0$ you can apply L'Hopital's rule.
$endgroup$
– Kavi Rama Murthy
Mar 23 at 23:51
$begingroup$
Sorry I know this is a bit later, I still dont understand how the f(n)/g(n) tends to 1. The numerator and denominator tend towards 0 as it is, and even after applying l'hopital's rule. I am confused
$endgroup$
– Brownie
Mar 25 at 20:10
1
$begingroup$
@Brownie Use L'Hopital's Rule to show that $frac {log, n} n to 0$ and $frac {(log, n)^{2}} n to 0$.
$endgroup$
– Kavi Rama Murthy
Mar 25 at 23:04
add a comment |
$begingroup$
Did you just divide by n on the top and bottom?
$endgroup$
– Brownie
Mar 23 at 23:50
$begingroup$
@Brownie Yes, that is what I did. To see that the second terms in the numerator and denominator both tend to $0$ you can apply L'Hopital's rule.
$endgroup$
– Kavi Rama Murthy
Mar 23 at 23:51
$begingroup$
Sorry I know this is a bit later, I still dont understand how the f(n)/g(n) tends to 1. The numerator and denominator tend towards 0 as it is, and even after applying l'hopital's rule. I am confused
$endgroup$
– Brownie
Mar 25 at 20:10
1
$begingroup$
@Brownie Use L'Hopital's Rule to show that $frac {log, n} n to 0$ and $frac {(log, n)^{2}} n to 0$.
$endgroup$
– Kavi Rama Murthy
Mar 25 at 23:04
$begingroup$
Did you just divide by n on the top and bottom?
$endgroup$
– Brownie
Mar 23 at 23:50
$begingroup$
Did you just divide by n on the top and bottom?
$endgroup$
– Brownie
Mar 23 at 23:50
$begingroup$
@Brownie Yes, that is what I did. To see that the second terms in the numerator and denominator both tend to $0$ you can apply L'Hopital's rule.
$endgroup$
– Kavi Rama Murthy
Mar 23 at 23:51
$begingroup$
@Brownie Yes, that is what I did. To see that the second terms in the numerator and denominator both tend to $0$ you can apply L'Hopital's rule.
$endgroup$
– Kavi Rama Murthy
Mar 23 at 23:51
$begingroup$
Sorry I know this is a bit later, I still dont understand how the f(n)/g(n) tends to 1. The numerator and denominator tend towards 0 as it is, and even after applying l'hopital's rule. I am confused
$endgroup$
– Brownie
Mar 25 at 20:10
$begingroup$
Sorry I know this is a bit later, I still dont understand how the f(n)/g(n) tends to 1. The numerator and denominator tend towards 0 as it is, and even after applying l'hopital's rule. I am confused
$endgroup$
– Brownie
Mar 25 at 20:10
1
1
$begingroup$
@Brownie Use L'Hopital's Rule to show that $frac {log, n} n to 0$ and $frac {(log, n)^{2}} n to 0$.
$endgroup$
– Kavi Rama Murthy
Mar 25 at 23:04
$begingroup$
@Brownie Use L'Hopital's Rule to show that $frac {log, n} n to 0$ and $frac {(log, n)^{2}} n to 0$.
$endgroup$
– Kavi Rama Murthy
Mar 25 at 23:04
add a comment |
$begingroup$
You're pretty much done with $O$ by doing the $g(n) = n+ 2log(n)$ transformation, since
$$f(n) = n + (log n)^{2} \
g(n) = n + 2 log(n)$$
Assuming that $log$ means $ln$:
$$forall n ge 8 quad f(n) > g(n)$$
Since $ln(8) > 2$, and $ln$ is monotone increasing.
This means that $g(n) = O(f(n))$.
$endgroup$
$begingroup$
log is base 2 in this case
$endgroup$
– Brownie
Mar 23 at 23:55
$begingroup$
Which is less information than $fsim g$.
$endgroup$
– user647486
Mar 23 at 23:59
add a comment |
$begingroup$
You're pretty much done with $O$ by doing the $g(n) = n+ 2log(n)$ transformation, since
$$f(n) = n + (log n)^{2} \
g(n) = n + 2 log(n)$$
Assuming that $log$ means $ln$:
$$forall n ge 8 quad f(n) > g(n)$$
Since $ln(8) > 2$, and $ln$ is monotone increasing.
This means that $g(n) = O(f(n))$.
$endgroup$
$begingroup$
log is base 2 in this case
$endgroup$
– Brownie
Mar 23 at 23:55
$begingroup$
Which is less information than $fsim g$.
$endgroup$
– user647486
Mar 23 at 23:59
add a comment |
$begingroup$
You're pretty much done with $O$ by doing the $g(n) = n+ 2log(n)$ transformation, since
$$f(n) = n + (log n)^{2} \
g(n) = n + 2 log(n)$$
Assuming that $log$ means $ln$:
$$forall n ge 8 quad f(n) > g(n)$$
Since $ln(8) > 2$, and $ln$ is monotone increasing.
This means that $g(n) = O(f(n))$.
$endgroup$
You're pretty much done with $O$ by doing the $g(n) = n+ 2log(n)$ transformation, since
$$f(n) = n + (log n)^{2} \
g(n) = n + 2 log(n)$$
Assuming that $log$ means $ln$:
$$forall n ge 8 quad f(n) > g(n)$$
Since $ln(8) > 2$, and $ln$ is monotone increasing.
This means that $g(n) = O(f(n))$.
edited Mar 24 at 3:01
Rócherz
3,0263823
3,0263823
answered Mar 23 at 23:54
Daniel PDaniel P
69714
69714
$begingroup$
log is base 2 in this case
$endgroup$
– Brownie
Mar 23 at 23:55
$begingroup$
Which is less information than $fsim g$.
$endgroup$
– user647486
Mar 23 at 23:59
add a comment |
$begingroup$
log is base 2 in this case
$endgroup$
– Brownie
Mar 23 at 23:55
$begingroup$
Which is less information than $fsim g$.
$endgroup$
– user647486
Mar 23 at 23:59
$begingroup$
log is base 2 in this case
$endgroup$
– Brownie
Mar 23 at 23:55
$begingroup$
log is base 2 in this case
$endgroup$
– Brownie
Mar 23 at 23:55
$begingroup$
Which is less information than $fsim g$.
$endgroup$
– user647486
Mar 23 at 23:59
$begingroup$
Which is less information than $fsim g$.
$endgroup$
– user647486
Mar 23 at 23:59
add a comment |
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$begingroup$
Don't remove $n$. Do $lim_{ntoinfty}frac{n+(log(n))^2}{n+2log(n)}=lim_{ntoinfty}frac{1+(log(n))^2/n}{1+2(log(n))/n}=1$.
$endgroup$
– user647486
Mar 23 at 23:43
$begingroup$
what should I do instead then?
$endgroup$
– Brownie
Mar 23 at 23:44