Estimating the Value of a Series — Question 7

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Question 7

For S=∑n=2∞1n(log⁡n)2\displaystyle S=\sum_{n=2}^{\infty}\frac1{n(\log n)^2}, derive a two-sided Integral Test estimate for RN=S−SNR_N=S-S_N. Then determine what the upper bound requires to guarantee RN<0.01R_N<0.01 and interpret the result.

Original worksheet page 1: question and worked solution for 4-13-007
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Question 7 – Solution

Step 1: Verify the setup.

The function f(x)=1/[x(log⁡x)2]f(x)=1/[x(\log x)^2] is positive and decreasing for x≥2x\ge2.

Step 2: Integrate the tail.

With u=log⁡xu=\log x, ∫A∞dxx(log⁡x)2=∫log⁡A∞u−2du=1log⁡A.\int_A^{\infty}\frac{dx}{x(\log x)^2}=\int_{\log A}^{\infty}u^{-2}\,du=\frac1{\log A}. Therefore 1log⁡(N+1)≤RN≤1log⁡N.\boxed{\frac1{\log(N+1)}\le R_N\le\frac1{\log N}}.

Step 3: Solve the requested tolerance.

1log⁡N<0.01⇔log⁡N>100⇔N>e100.\frac1{\log N}<0.01\iff \log N>100\iff N>e^{100}. Thus the least certified integer is ⌊e100⌋+1\lfloor e^{100}\rfloor+1, an astronomically large index (about 2.69×10432.69\times10^{43}).

Interpretation.

The lower and upper bounds are asymptotically equal, so this is not merely a loose estimate: the series itself converges extraordinarily slowly.

Original worksheet page 2: question and worked solution for 4-13-007

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