A logarithmic convergence tests - Analysis

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The discussion revolves around proving the convergence of the series Σa_n in relation to the series Σln(1+a_n). It is established that if Σln(1+a_n) converges, then Σa_n must also converge, leveraging the properties of logarithms and products. The key insight is that the product of (1+a_n) can be expressed in terms of the sum of logarithms, leading to a bound for Σa_n. Conversely, if Σa_n diverges, it implies that Σln(1+a_n) must also diverge. The analysis highlights the interconnectedness of these two series through logarithmic properties.
Wuberdall
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Homework Statement



Given a non-negative sequence \{a_{n}\}_{n=1}^{\infty}. Proove that the serie \Sigma_{n=1}^{\infty}a_{n} converge if and only if \Sigma_{n=1}^{\infty}\ln(1+a_{n}) converges.



Homework Equations





The Attempt at a Solution



My first attempt is the direct comparison test. Which tells that if \Sigma_{n=1}^{\infty}\ln(1+a_{n}) converges and if there exist a reel number γ so a_{n}\leq\gamma\ln(1+a_{n}) for all n, then the series \Sigma_{n=1}^{\infty}a_{n} also converges.

But i can't find such a γ.
 
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Hint*: Note that ##\sum_{n=1}^\infty ln(1+a_n)## is a sum of logarithms. What can you do to change logarithms into multiplication?

*##log(a)+log(b)=log(ab)##.
 
yeah, so \Sigma_{n=1}^{\infty}\ln(1+a_{n}) = \ln\Big[\Pi_{n=1}^{\infty}(1+a_{n})\Big]. But how am I supposed to conclude from this, that the series \Sigma_{n=1}^{\infty}a_{n} must then also converge ?
 
Well we know that ##\sum_{n=1}^\infty ln(1+a_n)=C##, where C is a constant, since the sum converges. And we know ##\sum_{n=1}^\infty ln(1+a_n)=ln[\prod_{n=1}^\infty(1+a_n)]=C##. So if we take the exponent of both sides we get ##\prod_{n=1}^\infty(1+a_n)=e^C##. If you expand the product what do you notice? Now you have a bound for the sum ##\sum_{n=1}^\infty a_n ##
 
Wuberdall said:
yeah, so \Sigma_{n=1}^{\infty}\ln(1+a_{n}) = \ln\Big[\Pi_{n=1}^{\infty}(1+a_{n})\Big]. But how am I supposed to conclude from this, that the series \Sigma_{n=1}^{\infty}a_{n} must then also converge ?

Why is that if every a_n \geq 0, we have that \exp\left(\sum_{n=1}^N \ln(1 + a_n)\right) = \prod_{n=1}^N (1 + a_n) \geq 1 + \sum_{n=1}^N a_n \geq 1<br /> for every N \in \mathbb{N}? (Hint: consider what happens if you expand the product.)

If \sum_{n=1}^\infty \ln(1 + a_n) converges, what can you say about the convergence of \sum_{n=1}^\infty a_n?

Conversely, if \sum_{n=1}^\infty a_n diverges, what can you conclude about the convergence of \sum_{n=1}^\infty \ln(1 + a_n)?
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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