Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
316 views
in Technique[技术] by (71.8m points)

complexity theory - Why is O(n/2 + 5 log n) O(log n) and not O(n log n)?

For n/2 + 5 log n, I would of thought the lower order terms of 5 and 2 would be dropped, thus leaving n log n

Where am I going wrong?

Edit:

Thank you, I believe I can now correct my mistake:

O(n/2 + 5 log n) = O(n/2 + log n) = O(n + log n) = O(n)

n/2 + 5 log n <= 2n, for all n >= 1 (c = 2, n0=1)

question from:https://stackoverflow.com/questions/66046081/why-is-on-2-5-log-n-olog-n-and-not-on-log-n

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Reply

0 votes
by (71.8m points)

Let us define the function f as follows for n >= 1:

f(n) = n/2 + 5*log(n)

This function is not O(log n); it grows more quickly than that. To show that, we can show that for any constant c > 0, there is a choice of n0 such that for n > n0, f(n) > c * log(n). For 0 < c <= 5, this is trivial, since f(n) > [5log(n)] by definition. For c > 5, we get

    n/2 + 5*log(n) > c*log(n)
<=> n/2 > (c - 5)*log(n)
<=> (1/(2(c - 5))*n/log(n) > 1

We can now note that the expression on the LHS is monotonically increasing for n > 1 and find the limit as n grows without bound using l'Hopital:

  lim(n->infinity) (1/(2(c - 5))*n/log(n)
= (1/(2(c - 5))* lim(n->infinity) n/log(n)
= (1/(2(c - 5))* lim(n->infinity) 1/(1/n)
= (1/(2(c - 5))* lim(n->infinity) n
-> infinity

Using l'Hopital we find there is no limit as n grows without bound; the value of the LHS grows without bound as well. Because the LHS is monotonically increasing and grows without bound, there must be an n0 after which the value of the LHS exceeds the value 1, as required.

This all proves that f is not O(log n).

It is true that f is O(n log n). This is not hard to show at all: choose c = (5+1/2), and it is obvious that

f(n) = n/2 + 5log(n) <= nlog(n)/2 + 5nlog(n) = (5+1/2)nlog(n) for all n.

However, this is not the best bound we can get for your function. Your function is actually O(n) as well. Choosing the same value for c as before, we need only notice that n > log(n) for all n >= 1, so

f(n) = n/2 + 5log(n) <= n/2 + 5n = (5+1/2)n

So, f is also O(n). We can show that f(n) is Omega(n) which proves it is also Theta(n). That is left as an exercise but is not difficult to do either. Hint: what if you choose c = 1/2?


与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
OGeek|极客中国-欢迎来到极客的世界,一个免费开放的程序员编程交流平台!开放,进步,分享!让技术改变生活,让极客改变未来! Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

...