MCP๋กœ ์—ฐ๊ฒฐ โ†’

๊ณ„์‚ฐ ์ž…๋ ฅ

๊ณต์‹

๊ด‘๊ณ 

๊ฒฐ๊ณผ

Gauss-Hermite Quadrature (20-point)
n = 20
๋ฌผ๋ฆฌํ•™์ž ๊ฐ€์ค‘ํ•จ์ˆ˜ e^(-x^2)์— ๋Œ€ํ•œ ๋…ธ๋“œ์™€ ๊ฐ€์ค‘์น˜
i ๋…ธ๋“œ x_i ๊ฐ€์ค‘์น˜ w_i
1 -5.38748089001123 2.22939364553414e-13
2 -4.60368244955075 4.39934099227314e-10
3 -3.94476404011563 1.08606937076927e-07
4 -3.34785456738322 7.80255647853208e-06
5 -2.78880605842813 0.000228338636016353
6 -2.25497400208928 0.00324377334223785
7 -1.73853771211659 0.0248105208874637
8 -1.23407621539532 0.109017206020023
9 -0.737473728545394 0.286675505362834
10 -0.245340708300901 0.462243669600610
11 0.245340708300901 0.462243669600610
12 0.737473728545395 0.286675505362835
13 1.23407621539532 0.109017206020023
14 1.73853771211659 0.0248105208874636
15 2.25497400208928 0.00324377334223785
16 2.78880605842813 0.000228338636016355
17 3.34785456738322 7.80255647853212e-06
18 3.94476404011563 1.08606937076928e-07
19 4.60368244955074 4.39934099227318e-10
20 5.38748089001123 2.22939364553414e-13

Self-check: sum of all weights = 1.7724538509055163, which should equal sqrt(pi) = 1.7724538509055159.

๊ฐ€์šฐ์Šค-์—๋ฅด๋ฏธํŠธ ๊ตฌ์ ๋ฒ•์ด๋ž€?

๊ฐ€์šฐ์Šค-์—๋ฅด๋ฏธํŠธ ๊ตฌ์ ๋ฒ•์€ ๊ฐ€์šฐ์Šค ๊ฐ€์ค‘ํ•จ์ˆ˜ \(e^{-x^2}\)๊ฐ€ ๊ณฑํ•ด์ง„ ํ˜•ํƒœ๋กœ, ์‹ค์ˆ˜ ์ „์ฒด ๊ตฌ๊ฐ„์—์„œ ์ •์˜๋œ ์ ๋ถ„์„ ์ˆ˜์น˜์ ์œผ๋กœ ๊ทผ์‚ฌํ•˜๋Š” ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค. n์  ๊ณต์‹์€ ์ ๋ถ„๊ฐ’์„ ์‹ ์ค‘ํ•˜๊ฒŒ ์„ ํƒ๋œ n๊ฐœ์˜ ์ ์—์„œ ๊ณ„์‚ฐํ•œ ํ”ผ์ ๋ถ„ ํ•จ์ˆ˜๊ฐ’์˜ ๊ฐ€์ค‘ํ•ฉ์œผ๋กœ ๊ทผ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ์ฆ‰, ๋งˆ์ด๋„ˆ์Šค ๋ฌดํ•œ๋Œ€๋ถ€ํ„ฐ ํ”Œ๋Ÿฌ์Šค ๋ฌดํ•œ๋Œ€๊นŒ์ง€์˜ \(e^{-x^2} f(x)\,dx\) ์ ๋ถ„์€ i์— ๋Œ€ํ•œ \(w_i\,f(x_i)\)์˜ ํ•ฉ์œผ๋กœ ๊ทผ์‚ฌ๋ฉ๋‹ˆ๋‹ค. ๋…ธ๋“œ \(x_i\)๋Š” ๋ฌผ๋ฆฌํ•™์ž ์ •์˜์˜ ์—๋ฅด๋ฏธํŠธ ๋‹คํ•ญ์‹ \(H_n\)์˜ ๊ทผ์ด๋ฉฐ, ๊ฐ€์ค‘์น˜ \(w_i\)๋Š” ์ด ๋‹คํ•ญ์‹๋“ค์˜ ์ง๊ต์„ฑ์œผ๋กœ๋ถ€ํ„ฐ ๊ฒฐ์ •๋ฉ๋‹ˆ๋‹ค.

$$\int_{-\infty}^{\infty} e^{-x^2} f(x)\,dx \approx \sum_{i=1}^{\text{Order }n} w_i\, f(x_i)$$
ํ‘œ๋ณธ์ ๊ณผ ์ ˆ์  ์œ„์˜ ์ˆ˜์ง ๋ง‰๋Œ€๊ฐ€ ์žˆ๋Š” ์ข… ๋ชจ์–‘ ๊ฐ€์ค‘์น˜ ๊ณก์„ 
๊ฐ€์šฐ์Šค-์—๋ฅด๋ฏธํŠธ ๊ตฌ์ ๋ฒ•์€ \(e^{-x^2}\)๋กœ ๊ฐ€์ค‘๋œ ์ ๋ถ„์„ ๊ต๋ฌ˜ํ•˜๊ฒŒ ๋ฐฐ์น˜ํ•œ ์†Œ์ˆ˜์˜ ์ ˆ์ ์œผ๋กœ ๊ทผ์‚ฌํ•ฉ๋‹ˆ๋‹ค.

๊ณ„์‚ฐ๊ธฐ ์‚ฌ์šฉ๋ฒ•

์ฐจ์ˆ˜ \(n\)(์ ์˜ ๊ฐœ์ˆ˜, 2๋ถ€ํ„ฐ 100๊นŒ์ง€)๊ณผ ํ‘œ์‹œํ•  ์ž๋ฆฟ์ˆ˜๋ฅผ ์„ ํƒํ•œ ๋’ค, ๋…ธ๋“œ์™€ ๊ฐ€์ค‘์น˜ ํ‘œ๋ฅผ ํ™•์ธํ•˜๋ฉด ๋ฉ๋‹ˆ๋‹ค. ๊ณ„์‚ฐ์€ ํ‘œ์ค€ ๋ฐฐ์ •๋ฐ€๋„(double precision)๋กœ ์ด๋ฃจ์–ด์ง€๋ฏ€๋กœ ํ‘œ์‹œ ์ •๋ฐ€๋„๋Š” ์•ฝ 15๊ฐœ์˜ ์œ ํšจ์ˆซ์ž๋กœ ์ œํ•œ๋ฉ๋‹ˆ๋‹ค. ๊ทธ ์ด์ƒ์€ ์ž„์˜ ์ •๋ฐ€๋„ ์—ฐ์‚ฐ์„ ์‚ฌ์šฉํ•ด์•ผ ์ถ”๊ฐ€ ์ž๋ฆฟ์ˆ˜๊ฐ€ ์˜๋ฏธ๋ฅผ ๊ฐ€์ง€๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. n์  ๊ณต์‹์€ ์ฐจ์ˆ˜๊ฐ€ \(2n-1\) ์ดํ•˜์ธ ๋ชจ๋“  ๋‹คํ•ญ์‹์„ ์ •ํ™•ํ•˜๊ฒŒ ์ ๋ถ„ํ•ฉ๋‹ˆ๋‹ค.

๊ณต์‹ ์„ค๋ช…

๋…ธ๋“œ๋Š” \(H_n(x)\)์˜ n๊ฐœ ์‹ค๊ทผ์œผ๋กœ, \(H_n\)์€ ์ ํ™”์‹ \(H_0=1\), \(H_1=2x\), \(H_{k+1}=2x\,H_k - 2k\,H_{k-1}\)๋กœ ์ •์˜๋ฉ๋‹ˆ๋‹ค. ๊ฐ€์ค‘์น˜๋Š” \(w_i = \dfrac{2^{n-1}\, n!\, \sqrt{\pi}}{n^2\,[H_{n-1}(x_i)]^2}\) ์ž…๋‹ˆ๋‹ค. ์ด ๊ณ„์‚ฐ๊ธฐ๋Š” ์ˆ˜์น˜์ ์œผ๋กœ ์•ˆ์ •์ ์ธ Golub-Welsch ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋Œ€์นญ ์‚ผ์ค‘๋Œ€๊ฐ ์•ผ์ฝ”๋น„ ํ–‰๋ ฌ(๋Œ€๊ฐ์„ ์€ 0, ๋น„๋Œ€๊ฐ์„ ์€ \(\sqrt{k/2}\))์„ ๊ตฌ์„ฑํ•˜๊ณ , ๊ทธ ๊ณ ์œณ๊ฐ’(๋…ธ๋“œ)๊ณผ ๊ณ ์œ ๋ฒกํ„ฐ๋ฅผ ๊ตฌํ•œ ๋‹ค์Œ, ๊ฐ ๊ฐ€์ค‘์น˜๋ฅผ ํ•ด๋‹น ์ •๊ทœํ™” ๊ณ ์œ ๋ฒกํ„ฐ์˜ ์ฒซ ์„ฑ๋ถ„ ์ œ๊ณฑ์— \(\sqrt{\pi}\)๋ฅผ ๊ณฑํ•œ ๊ฐ’์œผ๋กœ ์„ค์ •ํ•ฉ๋‹ˆ๋‹ค. ์ด ๋ฐฉ์‹์€ ํฐ ํŒฉํ† ๋ฆฌ์–ผ๋กœ ์ธํ•œ ์˜ค๋ฒ„ํ”Œ๋กœ๋ฅผ ๋ฐฉ์ง€ํ•ฉ๋‹ˆ๋‹ค.

$$\begin{gathered} \int_{-\infty}^{\infty} e^{-x^2} f(x)\,dx \approx \sum_{i=1}^{\text{Order }n} w_i\, f(x_i) \\[1.5em] \text{where}\quad \left\{ \begin{aligned} J\,v_i &= x_i\,v_i, \quad J_{kk}=0,\; J_{k,k+1}=J_{k+1,k}=\sqrt{\tfrac{k}{2}} \\ w_i &= \sqrt{\pi}\,\big(v_{i,1}\big)^2 \end{aligned} \right. \end{gathered}$$

ํ’€์ด ์˜ˆ์ œ (n = 2)

\(H_2(x) = 4x^2 - 2\)์˜ ๊ทผ์€ \(x = \pm \frac{1}{\sqrt{2}} = \pm 0.7071067811865475\) ์ž…๋‹ˆ๋‹ค. ๊ฐ ๊ฐ€์ค‘์น˜๋Š” \(\dfrac{2^1 \cdot 2! \cdot \sqrt{\pi}}{2^2 \cdot [H_1(x_i)]^2}\) ์ž…๋‹ˆ๋‹ค. \(H_1(x)=2x\)์ด๋ฏ€๋กœ \([H_1]^2 = 2\)๊ฐ€ ๋˜๊ณ , ๋”ฐ๋ผ์„œ ๊ฐ ๊ฐ€์ค‘์น˜๋Š” $$\frac{2\cdot 2\cdot 1.7724538509055160}{4\cdot 2} = 0.8862269254527580$$ ์ž…๋‹ˆ๋‹ค. ๋‘ ๊ฐ€์ค‘์น˜์˜ ํ•ฉ์€ \(\sqrt{\pi} = 1.7724538509055160\)์œผ๋กœ, ๊ฒฐ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ์— ์œ ์šฉํ•œ ๊ฐ’์ž…๋‹ˆ๋‹ค.

์ข… ๋ชจ์–‘ ๊ณก์„  ์•„๋ž˜ ์ถ• ์œ„์— ๊ฐ™์€ ๋†’์ด์˜ ๊ฐ€์ค‘์น˜ ๋ง‰๋Œ€๋ฅผ ๊ฐ€์ง„ ๋Œ€์นญ ์ ˆ์  ๋‘ ๊ฐœ
n = 2์ผ ๋•Œ ๋‘ ์ ˆ์ ์€ \(\pm\sqrt{1/2}\)์— ๋Œ€์นญ์œผ๋กœ ๋†“์ด๋ฉฐ ๊ฐ€์ค‘์น˜๊ฐ€ ๊ฐ™์Šต๋‹ˆ๋‹ค.

์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ

๊ฐ€์ค‘์น˜์˜ ํ•ฉ์ด ํ•ญ์ƒ \(\sqrt{\pi}\)๊ฐ€ ๋˜๋Š” ์ด์œ ๋Š” ๋ฌด์—‡์ธ๊ฐ€์š”? \(f(x)=1\)๋กœ ๋‘๋ฉด ์‹ค์ˆ˜ ์ „์ฒด ๊ตฌ๊ฐ„์—์„œ์˜ \(e^{-x^2}\) ์ ๋ถ„์ด ๋˜๋ฉฐ, ์ด ๊ฐ’์€ \(\sqrt{\pi}\)์™€ ๊ฐ™์Šต๋‹ˆ๋‹ค. ๊ตฌ์ ๋ฒ•์€ ์ด ๊ฒฐ๊ณผ๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์žฌํ˜„ํ•ฉ๋‹ˆ๋‹ค.

์—ฌ๊ธฐ์„œ ์‚ฌ์šฉํ•˜๋Š” ์—๋ฅด๋ฏธํŠธ ๋‹คํ•ญ์‹ ๊ทœ์•ฝ์€ ๋ฌด์—‡์ธ๊ฐ€์š”? ๊ฐ€์ค‘ํ•จ์ˆ˜ \(e^{-x^2}\)๋ฅผ ์“ฐ๋Š” ๋ฌผ๋ฆฌํ•™์ž ๊ทœ์•ฝ์ž…๋‹ˆ๋‹ค. ๊ฐ€์ค‘ํ•จ์ˆ˜๊ฐ€ \(e^{-x^2/2}\)์ธ ํ™•๋ฅ ๋ก ์ž ๊ทœ์•ฝ์—์„œ๋Š” ๋…ธ๋“œ์™€ ๊ฐ€์ค‘์น˜๊ฐ€ ์Šค์ผ€์ผ๋ง์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง‘๋‹ˆ๋‹ค.

\(e^{-x^2}\) ์ธ์ž๊ฐ€ ์—†๋Š” ํ•จ์ˆ˜๋„ ์ ๋ถ„ํ•  ์ˆ˜ ์žˆ๋‚˜์š”? ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค. \(g(x) = e^{x^2}\,f(x)\)๋กœ ๋‘๋ฉด, g์˜ ์ ๋ถ„์€ \(w_i\,e^{x_i^2}\,g(x_i)\)์˜ ํ•ฉ์œผ๋กœ ๊ทผ์‚ฌ๋ฉ๋‹ˆ๋‹ค.

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