POTW What Is the Infimum of This Set of Superior Limits?

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The discussion focuses on determining the infimum of the set of superior limits for sequences of positive real numbers. The sequence defined as \( a_n = n/x \) converges to \( e^{x+1} \) as \( x \to 0 \), suggesting that \( e \) may be the infimum. The analysis examines cases where the limit superior of the ratio \( a_{n+1}/a_n \) is greater than, less than, or equal to 1, concluding that if it equals 1, the sequences must approach infinity. The conversation emphasizes the need for sequences to grow sufficiently to maintain the limit superior at 1, with further exploration required to formalize the proof. Overall, the discussion highlights the complexity of establishing the infimum in this context.
Euge
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Let ##\mathbb{R}^\omega_{+}## be the set of all sequences ##(a_n)_{n=1}^\infty## of positive real numbers. Determine the infimum $$\inf\left\{\limsup_{n \to \infty} \left(\frac{1 + a_{n+1}}{a_n}\right)^n : (a_n) \in \mathbb{R}^\omega_{+}\right\}$$
 
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First show, by way of contradiction, that ##e## is a lower bound of the set of superior limits. Then show that ##e## is the optimal bound.
 
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Euge said:
Let ##\mathbb{R}^\omega_{+}## be the set of all sequences ##(a_n)_{n=1}^\infty## of positive real numbers. Determine the infimum $$\inf\left\{\limsup_{n \to \infty} \left(\frac{1 + a_{n+1}}{a_n}\right)^n : (a_n) \in \mathbb{R}^\omega_{+}\right\}$$
Does a proof by definition of limsup and infimum of a set also work? I mean not through contradiction as you suggest.

For example one can look at the sequence ##a_n=n/x##, and see that ##((1+a_{n+1})/a_n)^n## converges to ##e^{x+1}##, where ##x>0##, since we take the infinimum over all limsup, then when ##x\to 0## we get the infimum here.
This is seen as the optimum.
But I don't see how show that every other positive sequence gives a bigger limsup.
 
I have some thoughts on progressing towards e being the infimum. Consider ##\limsup{a_{n+1}/a_n}##. First suppose it's larger than 1.
Since ##(1+x)/y > x/y## when x and y are positive, this means we can find ##\epsilon>0## and a subsequence for which ##((1+a_{n+1})/a_n)^n > (1+\epsilon)^n## and hence the limsup is infinity.

On the other hand if ##\limsup{a_{n+1}/a_n} <1## then the sequence decays at least as fast as a geometric sequence and must go to zero. As soon as ##a_n<1## we have ##(1+a_{n+1})/a_n > 1/a_n >1## and again the limsup must be infinity. So the only interesting thing is what happens when the limsup of this ratio is exactly 1.

Edit: now we can consider ##\limsup{(1+a_{n+1})/a_n}##. This must be at least 1 since all we've done is add 1 to the numerator. If it's larger than 1 then clearly ##\limsup{((1+a_{n+1})/a_n)^n}## is infinity. So this must also be 1. For the limsup to be 1 in both cases it must be that ##a_n\to \infty## whenever we restrict to a subsequence that makes ##a_{n_k+1}/a_{n_k}\to 1##.

So we are just interested in sequences ##a_n## going to infinity, and We can rewrite the original expression as ##(1+(a_{n+1}-a_n+1)/a_n)^n## and ,I guess the point is since we know the sequence is going to infinity, ##(a_{n+1}-a_n+1)/a_n)## is at least ##1/n##. Intuitively this is because if ##a_n## grows slower than ##n##, then we have at least ##1/a_n## and we're done. If ##a_n## grows faster, then the ##(a_{n+1}-a_n)/a_n## is at least ##1/n##. Turning this into a formal proof seems tricky and I suspect I missed a clever step to avoid a lot of this.
 
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