I have another problem. Where would you suggest I start with this? (I know I will feel stupid after having read the answer, but I may as well get it over with)
I have another problem. Where would you suggest I start with this? (I know I will feel stupid after having read the answer, but I may as well get it over with)
Show by induction on n
Dn((1-x)-2) = (n+1)!(1-x)-n-2
for 0 < x < 1 and n ∈ ? where D = d/dx
Well, I dunno. Just start by taking the first derivative, then second derivative and so and see where it takes you after you have collection of results that look a little like what they want you to get to.. You can probably make the required conclusion from the result.
I have another problem. Where would you suggest I start with this? (I know I will feel stupid after having read the answer, but I may as well get it over with)
Show by induction on n
Dn((1-x)-2) = (n+1)!(1-x)-n-2
for 0 < x < 1 and n ∈ ? where D = d/dx
Basically what Simmura said.
Spoiler
Dn((1-x)-2) = (n+1)!(1-x)-n-2
n=1:
D((1-x)-2) = (-2)(-1)(1-x)-3 = 2(1-x)-3 = (1+1)!(1-x)-1-2; True for n=1.
You could start by http://www.wolframalpha.com/input/?i=lim((log_123+n)^10+/+n),+n-%3Einfinity and see their steps (click Show steps). These show a step for each power (10 in this case) - you can try to generalize for any power.
You could start by http://www.wolframalpha.com/input/?i=lim((log_123+n)^10+/+n),+n-%3Einfinity and see their steps (click Show steps). These show a step for each power (10 in this case) - you can try to generalize for any power.
Ah. I didn't manage to get WolframAlpha to display that sort of detail. That looks the way to go. Many thanks.
The rule of thumb "Logarithms grow more slowly than any other power or root of x" comes to mind.
That was what I was trying to prove: (log_a n)^500 = o(n^2). Now you mention it, it probably would be easier to prove it to two stages though, as I think the proof for log_a n = o(n) and n = o(n^2) is fairly simple (5 lines at max).
Ah, my mistake. It's just that in practice when a programmer says something is o(x), one tends to assume they really mean Theta(x), which does not make sense in your context.