MCP๋กœ ์—ฐ๊ฒฐ โ†’

๊ณ„์‚ฐ ์ž…๋ ฅ

๊ณต์‹

๊ด‘๊ณ 

๊ฒฐ๊ณผ

์ ๋ถ„๊ฐ’
1.9999999545
์ด์ค‘์ง€์ˆ˜(Tanh-Sinh) ๊ตฌ์ ๋ฒ•์œผ๋กœ ๊ทผ์‚ฌํ•จ
ํ”ผ์ ๋ถ„ ํ•จ์ˆ˜ f(x) 1/sqrt(x)
๊ตฌ๊ฐ„ [ 0 , 1 ]
๋ชฉํ‘œ ์ž๋ฆฟ์ˆ˜ 15
๋ฐฉ๋ฒ• DE / Tanh-Sinh ์‚ฌ๋‹ค๋ฆฌ๊ผด ๊ณต์‹

์ด ๊ณ„์‚ฐ๊ธฐ๋กœ ํ•  ์ˆ˜ ์žˆ๋Š” ์ผ

์ด ๋„๊ตฌ๋Š” ์ด์ค‘์ง€์ˆ˜(DE) ๊ตฌ์ ๋ฒ•, ์ฆ‰ Tanh-Sinh ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ๋‹จ์ผ ๋ณ€์ˆ˜ ํ•จ์ˆ˜ \(f(x)\)์˜ ์œ ํ•œ ๊ตฌ๊ฐ„ \([a, b]\)์—์„œ์˜ ์ •์ ๋ถ„์„ ๊ณ„์‚ฐํ•ฉ๋‹ˆ๋‹ค. DE ๊ตฌ์ ๋ฒ•์€ ์œ ํ•œ ๊ตฌ๊ฐ„์— ๋Œ€ํ•ด ๊ฐ€์žฅ ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ๋ฒ”์šฉ ์ˆ˜์น˜์ ๋ถ„ ๊ธฐ๋ฒ• ์ค‘ ํ•˜๋‚˜๋กœ, ํŠนํžˆ \(1/\sqrt{x}\)๋‚˜ \(\log(x)\)์ฒ˜๋Ÿผ ๋์ ์—์„œ ๋ฌดํ•œ๋Œ€๋กœ ๋ฐœ์‚ฐํ•˜๋Š” ํ”ผ์ ๋ถ„ ํ•จ์ˆ˜๋ฅผ ๋‹ค๋ฃจ๋Š” ๋ฐ ํƒ์›”ํ•ฉ๋‹ˆ๋‹ค. ์ผ๋ฐ˜์ ์ธ ๊ฐ€์šฐ์Šค ๊ตฌ์ ๋ฒ•์ด๋‚˜ ์‹ฌํ”„์Šจ ๊ณต์‹์ด ์–ด๋ ค์›€์„ ๊ฒช๋Š” ์ƒํ™ฉ์—์„œ๋„ ์•ˆ์ •์ ์œผ๋กœ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.

์‚ฌ์šฉ ๋ฐฉ๋ฒ•

ํ”ผ์ ๋ถ„ ํ•จ์ˆ˜ \(f(x)\) ์นธ์— ์ผ๋ฐ˜์ ์ธ ์ˆ˜ํ•™ ํ‘œ๊ธฐ๋ฒ•์œผ๋กœ ์‹์„ ์ž…๋ ฅํ•˜์„ธ์š”. ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ์—ฐ์‚ฐ์ž๋Š” + - * / ^์™€ ๊ด„ํ˜ธ์ด๋ฉฐ, ํ•จ์ˆ˜๋กœ๋Š” sqrt, exp, log, ln, sin, cos, tan, asin, acos, atan, sinh, cosh, tanh, abs๋ฅผ, ์ƒ์ˆ˜๋กœ๋Š” pi์™€ e๋ฅผ ์“ธ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ ๋ถ„ ํ•˜ํ•œ \(a\)์™€ ์ƒํ•œ \(b\)๋ฅผ ์ž…๋ ฅํ•˜๊ณ , ๋ชฉํ‘œ๋กœ ํ•  ์œ ํšจ์ˆซ์ž ์ž๋ฆฟ์ˆ˜๋ฅผ ์„ ํƒํ•œ ๋’ค ์‹คํ–‰ํ•˜์„ธ์š”. ํŠน์ด์ ์€ ์˜ค์ง ๋์  \(a\)์™€ \(b\)์—์„œ๋งŒ ํ—ˆ์šฉ๋ฉ๋‹ˆ๋‹ค. ๊ทธ ์™ธ์—๋Š” ์—ด๋ฆฐ ๊ตฌ๊ฐ„ \((a, b)\)์—์„œ ํ•จ์ˆ˜๊ฐ€ ํ•ด์„์ (analytic)์ด์–ด์•ผ ํ•˜๋ฉฐ, ์ฃผ๊ธฐ ํ•จ์ˆ˜์—ฌ์„œ๋Š” ์•ˆ ๋ฉ๋‹ˆ๋‹ค.

๊ณต์‹ ํ’€์ด

๋จผ์ € ๊ตฌ๊ฐ„์„ \(x(u) = \frac{(b+a)+(b-a)u}{2}\) ๋ณ€ํ™˜์œผ๋กœ \([-1, 1]\)์— ๋งคํ•‘ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋‹ค์Œ DE ๋ณ€ํ™˜ \(u = \tanh\!\left(\frac{\pi}{2}\sinh t\right)\)๊ฐ€ ์ง์„ ์„ ๋Š˜๋ ค์ฃผ์–ด, \(t\)๊ฐ€ ์ปค์งˆ์ˆ˜๋ก \(u\)๋Š” ์ดˆ์ง€์ˆ˜์ (super-exponential)์œผ๋กœ ๋์ ์— ๋‹ค๊ฐ€๊ฐ€๋Š” ๋™์‹œ์— ๊ฐ€์ค‘์น˜ \(g'(t)\)๋Š” ๊ทธ๋งŒํผ ๋น ๋ฅด๊ฒŒ 0์œผ๋กœ ์ˆ˜๋ ดํ•ฉ๋‹ˆ๋‹ค. ๋…ธ๋“œ๊ฐ€ ๊ฒฐ์ฝ” \(a\)๋‚˜ \(b\)์— ์ •ํ™•ํžˆ ๋„๋‹ฌํ•˜์ง€ ์•Š๊ธฐ ๋•Œ๋ฌธ์— ๋์ ์˜ ํŠน์ด์ ์€ ์‹ค์ œ๋กœ๋Š” ์ ˆ๋Œ€ ํ‰๊ฐ€๋˜์ง€ ์•Š์œผ๋ฉฐ, ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ "๊ธธ๋“ค์—ฌ์ง‘๋‹ˆ๋‹ค". ๋ณ€ํ™˜๋œ ์ ๋ถ„์€ ๊ฐ„๋‹จํ•œ ์‚ฌ๋‹ค๋ฆฌ๊ผด ๊ณต์‹(์Šคํ… \(h\))์œผ๋กœ ํ•ฉ์‚ฐ๋˜๊ณ , ๋‹ต์ด ๋” ์ด์ƒ ๋ฐ”๋€Œ์ง€ ์•Š์„ ๋•Œ๊นŒ์ง€ \(h\)๋ฅผ ์ ˆ๋ฐ˜์”ฉ ์ค„์—ฌ ๋‚˜๊ฐ‘๋‹ˆ๋‹ค.

$$\int_{a}^{b} f(x)\,dx \;\approx\; \frac{b-a}{2}\,h\sum_{k} w_k\, f\!\left(x_k\right)$$

$$\begin{gathered} \int_{a}^{b} f(x)\,dx \;\approx\; \frac{b-a}{2}\,h\sum_{k} w_k\, f\!\left(x_k\right) \\[1.5em] \text{where}\quad \left\{ \begin{aligned} a &= \text{Lower limit} \\ b &= \text{Upper limit} \\ x_k &= \tfrac{b+a}{2} + \tfrac{b-a}{2}\tanh\!\left(\tfrac{\pi}{2}\sinh(k h)\right) \\ w_k &= \dfrac{\tfrac{\pi}{2}\cosh(k h)}{\cosh^{2}\!\left(\tfrac{\pi}{2}\sinh(k h)\right)} \end{aligned} \right. \end{gathered}$$

t์—์„œ ๋“ฑ๊ฐ„๊ฒฉ์ธ ์ ˆ์ ์ด ๋์  a์™€ b ๊ทผ์ฒ˜์— ๋ชจ์ด๋Š” ์ ˆ์ ์œผ๋กœ ์‚ฌ์ƒ๋จ
์ด์ค‘ ์ง€์ˆ˜ ๋ณ€์ˆ˜ ๋ณ€ํ™˜์€ ๊ท ์ผํ•œ ์ ˆ์ ์„ ๋์  a์™€ b ๊ทผ์ฒ˜์— ๋ชจ์ด๋Š” ์ ๋“ค๋กœ ์‚ฌ์ƒํ•ฉ๋‹ˆ๋‹ค.

์˜ˆ์ œ๋กœ ์‚ดํŽด๋ณด๊ธฐ

๊ตฌ๊ฐ„ \([0, 1]\)์—์„œ \(f(x) = 1/\sqrt{x}\)์˜ ์ •ํ™•ํ•œ ๊ฐ’์€ \(\left[2\sqrt{x}\right]\)๋ฅผ 0๋ถ€ํ„ฐ 1๊นŒ์ง€ ๊ณ„์‚ฐํ•œ \(2\)์ž…๋‹ˆ๋‹ค. ๋‹จ 7๊ฐœ์˜ ์ ๋งŒ ์“ฐ๋Š” ๊ฑฐ์นœ DE ๊ฒฉ์ž(\(h = 0.5\))๋กœ๋„ ์ด๋ฏธ ์•ฝ \(1.94\)๊ฐ€ ๋‚˜์˜ค๊ณ , \(h\)๋ฅผ ๋” ์„ธ๋ฐ€ํ•˜๊ฒŒ ์ค„์ด๋ฉด ์ถ”์ •๊ฐ’์ด \(2.000000000000000\)์œผ๋กœ ์ˆ˜๋ ดํ•ฉ๋‹ˆ๋‹ค. ํŠน์ด์ ์ด ์—†๋Š” ๊ฒฝ์šฐ๋„ ํ™•์ธํ•ด ๋ณด๋ฉด, \([0, 1]\)์—์„œ \(f(x) = x^2\)๋Š” \(1/3 = 0.3333333333333\)์„ ๋ฐ˜ํ™˜ํ•ฉ๋‹ˆ๋‹ค.

a์™€ b ์‚ฌ์ด ๊ณก์„  f(x) ์•„๋ž˜์˜ ์Œ์˜ ์˜์—ญ๊ณผ ๋์  ๊ทผ์ฒ˜์— ์กฐ๋ฐ€ํ•œ ํ‘œ๋ณธ์ 
์ ๋ถ„์€ ์Œ์˜ ์˜์—ญ์„ ๊ทผ์‚ฌํ•˜๋ฉฐ, ํŠน์ด์ ์„ ์ฒ˜๋ฆฌํ•˜๊ธฐ ์œ„ํ•ด ์ ˆ์ ์„ ๋์  ๊ทผ์ฒ˜์— ์ด˜์ด˜ํžˆ ๋ฐฐ์น˜ํ•ฉ๋‹ˆ๋‹ค.

์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ

๊ตฌ๊ฐ„ ๋‚ด๋ถ€์— ์žˆ๋Š” ํŠน์ด์ ๋„ ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ๋‚˜์š”? ์•„๋‹ˆ์š”. DE ๋ฐฉ๋ฒ•์€ ๋์ ์— ์žˆ๋Š” ํŠน์ด์ ๋งŒ ๊ฒฌ๋”œ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋‚ด๋ถ€์˜ ์  \(c\)์— ํŠน์ด์ ์ด ์žˆ๋‹ค๋ฉด ์ ๋ถ„์„ \([a, c]\)์™€ \([c, b]\)๋กœ ๋‚˜๋ˆˆ ๋’ค ๋‘ ๊ฒฐ๊ณผ๋ฅผ ๋”ํ•˜์„ธ์š”.

์ฃผ๊ธฐ ํ•จ์ˆ˜์—๋Š” ์™œ ์ž˜ ๋งž์ง€ ์•Š๋‚˜์š”? ๋งค๋„๋Ÿฌ์šด ์ฃผ๊ธฐ ํ”ผ์ ๋ถ„ ํ•จ์ˆ˜์˜ ๊ฒฝ์šฐ ์ผ๋ฐ˜ ์‚ฌ๋‹ค๋ฆฌ๊ผด ๊ณต์‹๋งŒ์œผ๋กœ๋„ ์ด๋ฏธ ์ง€์ˆ˜์ ์œผ๋กœ ์ˆ˜๋ ดํ•˜๊ธฐ ๋•Œ๋ฌธ์—, DE ๋ณ€์ˆ˜ ๋ณ€ํ™˜์€ ์˜คํžˆ๋ ค ์†๋„๋งŒ ๋Šฆ์ถœ ๋ฟ์ž…๋‹ˆ๋‹ค.

์ž๋ฆฟ์ˆ˜ ์„ค์ •์€ ์–ด๋–ค ์—ญํ• ์„ ํ•˜๋‚˜์š”? ์„ธ๋ถ„ํ™”๋ฅผ ์–ธ์ œ ๋ฉˆ์ถœ์ง€ ๊ฒฐ์ •ํ•˜๋Š” ์ƒ๋Œ€ ํ—ˆ์šฉ ์˜ค์ฐจ๋ฅผ ์„ค์ •ํ•˜๋ฉฐ, ํ‘œ์‹œ๋˜๋Š” ๊ฐ’๋„ ๊ทธ์— ๋งž์ถฐ ๋ฐ˜์˜ฌ๋ฆผํ•ฉ๋‹ˆ๋‹ค.

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