Absolute Summation

Calculus Level 5

lim n k = 0 n 2 π cos ( k π ( 3 5 ) ) n = ? \large \lim_{n\to\infty} \sum_{k=0}^n \left|\frac{2\pi\cos(k\pi(3-\sqrt{5}))}{n}\right| = \, ?


The answer is 4.

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1 solution

S = lim n k = 0 n 2 π cos ( k π ( 3 5 ) ) n = lim n 2 π k = 0 n cos ( 3 k π 5 k π ) n = lim n 2 π k = 0 n cos ( 3 k π ) cos ( 5 k π ) + sin ( 3 k π ) sin ( 5 k π ) n = lim n 2 π k = 0 n ( ± 1 ) cos ( 5 k π ) + ( 0 ) sin ( 5 k π ) n = lim n 2 π k = 0 n cos ( 5 k π ) n By equidistribution theorem = 2 π π 2 π 2 cos x π d x = 2 sin x π 2 π 2 = 4 \begin{aligned} S & = \lim_{n \to \infty} \sum_{k=0}^n \left| \frac {2 \pi \cos (k \pi (3 - \sqrt 5))}n \right| \\ & = \lim_{n \to \infty} 2 \pi \sum_{k=0}^n \frac {\left|\cos (3 k \pi - \sqrt 5 k \pi ) \right|}n \\ & = \lim_{n \to \infty} 2 \pi \sum_{k=0}^n \frac {\left|{\color{#3D99F6}\cos (3 k \pi)} \cos(\sqrt 5 k \pi) + {\color{#D61F06}\sin (3 k \pi)} \sin (\sqrt 5 k \pi)\right|}n \\ & = \lim_{n \to \infty} 2 \pi \sum_{k=0}^n \frac {\left|{\color{#3D99F6} (\pm 1)} \cos(\sqrt 5 k \pi) + {\color{#D61F06}(0)} \sin (\sqrt 5 k \pi)\right|}n \\ & = \lim_{n \to \infty} 2 \pi \color{#3D99F6} \sum_{k=0}^n \frac {\left| \cos(\sqrt 5 k \pi) \right|}n \quad \quad \small \text{By equidistribution theorem} \\ & = 2 \pi \color{#3D99F6} \int_{-\frac \pi 2}^\frac \pi 2 \frac {\cos x}\pi dx \\ & = 2 \sin x \big|_{-\frac \pi 2}^\frac \pi 2 \\ & = \boxed{4} \end{aligned}


Reference: Equidistribution theorem

Sir can you explain your fourth last statement? (How did you deduce that the summation was average of cos x?)

Aditya Kumar - 4 years, 6 months ago

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I have added an explanation in the solution. I hope that it helps.

Chew-Seong Cheong - 4 years, 6 months ago

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Yes sir that helps:) Thanks!

Aditya Kumar - 4 years, 6 months ago

For k k \to \infty , the value of cos ( 5 k π ) \left|\cos (\sqrt 5 k \pi)\right| will be evenly distributed between 0 and 1. Therefore, by Riemann's sums...

How do you know that it is evenly distributed between 0 and 1? This has nothing to do with Riemann Sums at all. The correct way to solve this is via Equidistribution theorem.

Pi Han Goh - 4 years, 6 months ago

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Thanks, friend.

Chew-Seong Cheong - 4 years, 6 months ago

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