What is the limit of (a^n)/n for a>1?

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The limit of the sequence ##a^n/n## for ##a>1## is ##+\infty## but how to prove it without reverting to limit of functions and using L'Hopital rule.
We have the limit of the sequence ##\frac{a^n}{n}## where ##a>1##. I know it is ##+\infty## and i can prove it by switching to the function ##\frac{a^x}{x}## and using L'Hopital.

But how do i prove it using more basic calculus, without the knowledge of functions and derivatives and L'Hopital.

I can prove that the sequence is increasing (after a certain ##n_0##) but have trouble proving that the sequence is not bounded. More specifically
$$\frac{a^n}{n}>M\Rightarrow n\ln a-\ln n>\ln M$$ and where do i go from here?
 
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Let ##b_n=a^n/n##. The ratio of successive terms ##b_{n+1}/b_n=a\left(\frac{n}{n+1}\right)## tends to ##a>1## as ##n\to\infty##, so the sequence diverges to infinity (and by the "ratio test", this tells us the even stronger statement that ##\sum_{n=1}^\infty b_n^{-1}## converges.)
 
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Which theorem is that ?(if the ratio of successive terms has limit >1 then the sequence diverges) . I know the ratio test for series, but haven't heard of a ratio test for sequences.
 
Delta2 said:
Which theorem is that ?(if the ratio of successive terms has limit >1 then the sequence diverges) . I know the ratio test for series, but haven't heard of a ratio test for sequences.

He uses the theorem you mention, together with the fact that if ##\sum_n x_n## converges, then ##x_n \to 0##.
 
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Math_QED said:
He uses the theorem you mention, together with the fact that is ##\sum_n x_n## converges, then ##x_n \to 0##.
Ok I see now thanks, due to ratio test ##\sum \frac{1}{b_n}## converges hence ##\frac{1}{b_n}\to 0## hence ##b_n\to +\infty## since ##b_n## is strictly positive.
 
Yes, like @Math_QED said, it follows from the test for series. I don't know if it has a separate name for sequences, but it's easy enough to prove: Let ##c_n## be a sequence of positive terms, and suppose ##c_{n+1}/c_n## has limit(inf) ##T>1.## Pick ##L\in (1,T)##, and let ##N## be so that ##c_{n+1}/c_n>L## for ##n\geq N##. Then, for any ##m>N##, we have ##c_m=\left(\frac{c_m}{c_{m-1}}\right)\ldots\left(\frac{c_{N+1}}{c_N}\right)c_N> L^{m-N}c_N,## and this tends to infinity. And this comparison is how you prove the test for series anyway, since geometric series diverge/converge according to their common ratio.
 
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What about this? If a > 1, then write a = 1+h with h > 0.
Then by the binomial theorem, a^n > 1 + nh + n(n-1)/2h^2.
Hence a^n/n > 1/n + h + (n-1)/2. h^2 > (n-1)/2. h^2, which --> infinity as n does.
 
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This is another approach. Since a>1 , similar to Wonk, write it as 1+h; h>0. Then use logs or a rule of thumb like rule of 70 to find tge least power k with ##(1+h)^k=2 ## . Then you can see how for fixed values ##n_i*k## of ##n## , the ratio becomes:

##\frac{a^n}{n}=\frac{a^{n_i*k}}{n_ik}=\frac{2^{n_i}}{n_i*k}## I think from here, comparing a doubling process with a linear growth process, with a bit of work you can show the expression goes to infinity.
 
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