MCP๋กœ ์—ฐ๊ฒฐ โ†’

๊ณ„์‚ฐ ์ž…๋ ฅ

๊ณต์‹

Show calculation steps (2)
  1. Bessel Function of the Second Kind

    Bessel Function of the Second Kind: ๋ฒ ์…€ ํ•จ์ˆ˜ Jv(x), Yv(x)์™€ ๋„ํ•จ์ˆ˜ ๊ณ„์‚ฐ๊ธฐ

    Y is obtained from J of order v and minus v; v is the Order input and x the Argument input.

  2. Derivatives of Jv and Yv

    Derivatives of Jv and Yv: ๋ฒ ์…€ ํ•จ์ˆ˜ Jv(x), Yv(x)์™€ ๋„ํ•จ์ˆ˜ ๊ณ„์‚ฐ๊ธฐ

    Recurrence relation for derivatives; same form applies to Y. For order 0, the prime equals minus the order-1 function.

๊ด‘๊ณ 

๊ฒฐ๊ณผ

์ œ1์ข… ๋ฒ ์…€ ํ•จ์ˆ˜ J_v(x)
0.7651976866
๋ฌด์ฐจ์›
Y_v(x) (์ œ2์ข…) 0.0882568464
J'_v(x) (์ œ1์ข… ๋„ํ•จ์ˆ˜) -0.4400505857
Y'_v(x) (์ œ2์ข… ๋„ํ•จ์ˆ˜) 0.7812128809

์ด ๊ณ„์‚ฐ๊ธฐ์˜ ๊ธฐ๋Šฅ

์ด ๋„๊ตฌ๋Š” ๋ฒ ์…€ ๋ฏธ๋ถ„๋ฐฉ์ •์‹ \(x^2y'' + xy' + (x^2 - v^2)y = 0\)์˜ ์„ ํ˜• ๋…๋ฆฝ์ธ ๋‘ ํ•ด, ์ฆ‰ ์ œ1์ข… ๋ฒ ์…€ ํ•จ์ˆ˜ \(J_v(x)\), ์ œ2์ข… ๋ฒ ์…€ ํ•จ์ˆ˜ \(Y_v(x)\)(๋…ธ์ด๋งŒ ํ•จ์ˆ˜๋ผ๊ณ ๋„ ํ•จ), ๊ทธ๋ฆฌ๊ณ  ์ด๋“ค์˜ 1์ฐจ ๋„ํ•จ์ˆ˜ \(J'_v(x)\)์™€ \(Y'_v(x)\)๋ฅผ ๊ณ„์‚ฐํ•ฉ๋‹ˆ๋‹ค. ์ฐจ์ˆ˜ \(v\)๋Š” ์ •์ˆ˜, ๋ถ„์ˆ˜, ์Œ์ˆ˜ ๋“ฑ ์–ด๋–ค ์‹ค์ˆ˜๋“  ์ž…๋ ฅํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ์ธ์ˆ˜ \(x\)๋„ ์‹ค์ˆ˜๋กœ ๋ฐ›์Šต๋‹ˆ๋‹ค. ๋ฒ ์…€ ํ•จ์ˆ˜๋Š” ๋ฌผ๋ฆฌํ•™๊ณผ ๊ณตํ•™ ์ „๋ฐ˜์— ๋“ฑ์žฅํ•ฉ๋‹ˆ๋‹ค. ์›ํ˜• ๋ง‰์˜ ์ง„๋™, ์›ํ†ต์—์„œ์˜ ์—ด์ „๋„, ๋„ํŒŒ๊ด€ ๋‚ด ์ „์ž๊ธฐํŒŒ, ์‹ ํ˜ธ ์ฒ˜๋ฆฌ ๋“ฑ์ด ๋Œ€ํ‘œ์ ์ธ ์˜ˆ์ž…๋‹ˆ๋‹ค.

x์— ๋”ฐ๋ฅธ ์ œ1์ข… ๋ฒ ์…€ ํ•จ์ˆ˜ J0, J1, J2์˜ ์ง„๋™ํ•˜๋ฉฐ ๊ฐ์†Œํ•˜๋Š” ๊ณก์„ 
์ œ1์ข… ๋ฒ ์…€ ํ•จ์ˆ˜ Jแตฅ(x)๋Š” x๊ฐ€ ์ปค์งˆ์ˆ˜๋ก ์ง„๋™ํ•˜๋ฉฐ ์ฒœ์ฒœํžˆ ๊ฐ์†Œํ•œ๋‹ค.

์‚ฌ์šฉ ๋ฐฉ๋ฒ•

์ฐจ์ˆ˜ \(v\)(์˜ˆ: 0, 1, 0.5), ์ธ์ˆ˜ \(x\)๋ฅผ ์ž…๋ ฅํ•˜๊ณ  ํ‘œ์‹œํ•  ์ž๋ฆฟ์ˆ˜๋ฅผ ์„ ํƒํ•˜์„ธ์š”. ๊ณ„์‚ฐ ๋ฒ„ํŠผ์„ ๋ˆ„๋ฅด๋ฉด ๋„ค ๊ฐ€์ง€ ๊ฐ’์ด ๋ชจ๋‘ ๋‚˜ํƒ€๋‚ฉ๋‹ˆ๋‹ค. ์ฐจ์ˆ˜๊ฐ€ ์ •์ˆ˜๊ฐ€ ์•„๋‹Œ ๊ฒฝ์šฐ์—๋Š” \(x \geq 0\)์œผ๋กœ ์ž…๋ ฅํ•˜์„ธ์š”. \(x\)๊ฐ€ ์Œ์ˆ˜์ด๋ฉด \((x/2)^v\)๊ฐ€ ๋ณต์†Œ์ˆ˜๊ฐ€ ๋˜๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. \(x = 0\)์—์„œ๋Š” ์ œ2์ข… ํ•จ์ˆ˜๊ฐ€ ํŠน์ด์ ์„ ๊ฐ€์ง€๋ฏ€๋กœ ์ •์˜๋˜์ง€ ์•Š์Œ์œผ๋กœ ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

๊ณต์‹ ์„ค๋ช…

\(J_v(x)\)๋Š” ๊ฐ๋งˆ ํ•จ์ˆ˜๋ฅผ ์ด์šฉํ•œ ๋ฉฑ๊ธ‰์ˆ˜๋กœ ๊ณ„์‚ฐํ•˜๋ฉฐ, ์•ˆ์ •์ ์ธ ์ ํ™”์‹์„ ์‚ฌ์šฉํ•ด ๊ฐ ํ•ญ์ด ํ—ˆ์šฉ ์˜ค์ฐจ ์ดํ•˜๋กœ ์ž‘์•„์งˆ ๋•Œ๊นŒ์ง€ ํ•ญ๋ณ„๋กœ ํ•ฉ์‚ฐํ•ฉ๋‹ˆ๋‹ค.

$$J_{\nu}(x) = \sum_{k=0}^{\infty} \frac{(-1)^{k}}{k!\,\Gamma(\nu+k+1)} \left(\frac{x}{2}\right)^{2k+\nu}, \qquad \nu = \text{Order }\nu,\; x = \text{Argument }x$$

์ •์ˆ˜๊ฐ€ ์•„๋‹Œ ์ฐจ์ˆ˜์˜ \(Y_v(x)\)๋Š” ๋‹ค์Œ ๊ณต์‹์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.

$$Y_{\nu}(x) = \frac{J_{\nu}(x)\cos(\nu\pi) - J_{-\nu}(x)}{\sin(\nu\pi)}, \qquad \nu = \text{Order }\nu,\; x = \text{Argument }x$$

์ •์ˆ˜ ์ฐจ์ˆ˜์ผ ๋•Œ๋Š” \(\sin(v\pi)=0\)์œผ๋กœ ์ธํ•œ 0์œผ๋กœ ๋‚˜๋ˆ„๊ธฐ๋ฅผ ํ”ผํ•˜๊ธฐ ์œ„ํ•ด \(v\)๋ฅผ ์•„์ฃผ ์•ฝ๊ฐ„(\(10^{-7}\)๋งŒํผ) ๋ฏธ์„ธํ•˜๊ฒŒ ๋ณ€ํ˜•ํ•ฉ๋‹ˆ๋‹ค. ๋„ํ•จ์ˆ˜๋Š” ์ ํ™”์‹์„ ์‚ฌ์šฉํ•˜๋ฉฐ, ํŠน์ˆ˜ํ•œ ๊ฒฝ์šฐ๋กœ \(C'_0(x) = -C_1(x)\)๋ฅผ ์ ์šฉํ•ฉ๋‹ˆ๋‹ค.

$$C_{\nu}^{\prime}(x) = \tfrac{1}{2}\bigl(C_{\nu-1}(x) - C_{\nu+1}(x)\bigr), \quad C \in \{J,\,Y\}, \quad \nu = \text{Order }\nu,\; x = \text{Argument }x$$
0 ๊ทผ์ฒ˜์—์„œ ์Œ์˜ ๋ฌดํ•œ๋Œ€๋กœ ๋ฐœ์‚ฐํ•˜๋Š” ์ œ2์ข… ๋ฒ ์…€ ํ•จ์ˆ˜ Y0, Y1, Y2์˜ ๊ณก์„ 
์ œ2์ข… ํ•จ์ˆ˜ Yแตฅ(x)๋Š” x๊ฐ€ 0์— ๊ฐ€๊นŒ์›Œ์งˆ์ˆ˜๋ก ์Œ์˜ ๋ฌดํ•œ๋Œ€๋กœ ๊ธ‰๋ฝํ•œ๋‹ค.

๊ณ„์‚ฐ ์˜ˆ์‹œ

\(v = 0\), \(x = 1\)์ธ ๊ฒฝ์šฐ: \(J_0(1)\)์˜ ๊ธ‰์ˆ˜๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.

$$J_0(1) = 1 - 0.25 + 0.015625 - 0.000434 + \ldots \approx 0.7651977$$

์•Œ๋ ค์ง„ ๊ฐ’๋“ค์€ \(Y_0(1) \approx 0.0882570\), \(J'_0(1) = -J_1(1) \approx -0.4400506\), \(Y'_0(1) = -Y_1(1) \approx 0.7812128\)์ž…๋‹ˆ๋‹ค.

์ฃผ์š” ์šฉ์–ด ๋ฐ ๋ณ€์ˆ˜

์ฐจ์ˆ˜ \(\nu\)
๋ฏธ๋ถ„๋ฐฉ์ •์‹ \(x^2 y'' + x y' + (x^2-\nu^2)y = 0\)์˜ ํ˜•ํƒœ๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” \(J_\nu(x)\) ๋ฐ \(Y_\nu(x)\)์˜ ๋งค๊ฐœ๋ณ€์ˆ˜ \(\nu\)์ž…๋‹ˆ๋‹ค. ์ž„์˜์˜ ์‹ค์ˆ˜์ผ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ •์ˆ˜ ์ฐจ์ˆ˜ (\(\nu = 0,1,2,\dots\))๋Š” ์›ํ†ต ์ขŒํ‘œ์—์„œ์˜ ๊ฐ๋„ ๋ถ„๋ฆฌ๋กœ๋ถ€ํ„ฐ ๋‚˜ํƒ€๋‚˜๊ณ , ๋ฐ˜์ •์ˆ˜ ์ฐจ์ˆ˜๋Š” ์ดˆ๋“ฑํ•จ์ˆ˜๋กœ ํ‘œํ˜„ ๊ฐ€๋Šฅํ•œ ๊ตฌ๋ฉด ๋ฒ ์…€ ํ•จ์ˆ˜๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.
๋…๋ฆฝ๋ณ€์ˆ˜ \(x\)
ํ•จ์ˆ˜๊ฐ€ ํ‰๊ฐ€๋˜๋Š” ๋…๋ฆฝ๋ณ€์ˆ˜๋กœ, ์ผ๋ฐ˜์ ์œผ๋กœ ์Šค์ผ€์ผ๋œ ๋ฐ˜์ง€๋ฆ„ ๊ฑฐ๋ฆฌ \(x = kr\)์ž…๋‹ˆ๋‹ค. ์‹ค์ˆ˜ \(x\)์— ๋Œ€ํ•ด, \(J_\nu\)๋Š” ์ •์ˆ˜ \(\nu\)์ผ ๋•Œ ์‹ค์ˆ˜๊ฐ’์ด๊ณ , \(Y_\nu\)๋Š” \(x>0\)์—์„œ๋งŒ ์ •์˜๋ฉ๋‹ˆ๋‹ค.
์ œ1์ข… ๋ฒ ์…€ ํ•จ์ˆ˜ \(J_\nu(x)\)
์›์ ์—์„œ ์œ ํ•œํ•œ ํ•ด (\(\nu\ge 0\)์˜ ๊ฒฝ์šฐ)๋กœ, ๊ธ‰์ˆ˜ \(J_\nu(x)=\sum_{k=0}^{\infty}\frac{(-1)^k}{k!\,\Gamma(\nu+k+1)}\left(\tfrac{x}{2}\right)^{2k+\nu}\)๋กœ ์ •์˜๋ฉ๋‹ˆ๋‹ค. \(x\)๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์ง„ํญ์ด ์ฒœ์ฒœํžˆ ๊ฐ์†Œํ•˜๋ฉฐ ์ง„๋™ํ•ฉ๋‹ˆ๋‹ค.
์ œ2์ข… ๋ฒ ์…€ ํ•จ์ˆ˜ \(Y_\nu(x)\)
๋…ธ์ด๋งŒ(๋˜๋Š” ๋ฒ ๋ฒ„) ํ•จ์ˆ˜๋ผ๊ณ ๋„ ๋ถˆ๋ฆฌ๋ฉฐ, ์ด๋Š” ๋‘ ๋ฒˆ์งธ ์„ ํ˜•๋…๋ฆฝ ํ•ด์ž…๋‹ˆ๋‹ค. \(Y_\nu(x)=\dfrac{J_\nu(x)\cos(\nu\pi)-J_{-\nu}(x)}{\sin(\nu\pi)}\)๋ฅผ ํ†ตํ•ด ์ •์˜๋˜๊ณ  (์ •์ˆ˜ \(\nu\)์˜ ๊ฒฝ์šฐ ๊ทนํ•œํ˜•), ์›์ ์—์„œ ๋กœ๊ทธ์ ์œผ๋กœ ๋˜๋Š” \(x\)์˜ ๊ฑฐ๋“ญ์ œ๊ณฑ์œผ๋กœ ๋ฐœ์‚ฐํ•ฉ๋‹ˆ๋‹ค.
๋„ํ•จ์ˆ˜ \(J'_\nu(x)\), \(Y'_\nu(x)\)
\(x\)์— ๋Œ€ํ•œ ๋„ํ•จ์ˆ˜์ž…๋‹ˆ๋‹ค. ์ด๋“ค์€ ์ ํ™”์‹ \(C'_\nu(x)=\tfrac{1}{2}\bigl(C_{\nu-1}(x)-C_{\nu+1}(x)\bigr)\) ๋ฐ \(C'_\nu(x)=C_{\nu-1}(x)-\tfrac{\nu}{x}C_\nu(x)\)๋ฅผ ๋งŒ์กฑํ•ฉ๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์„œ \(C\)๋Š” \(J\) ๋˜๋Š” \(Y\)๋ฅผ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค. ํŠนํžˆ \(J'_0(x)=-J_1(x)\)์ž…๋‹ˆ๋‹ค.
๊ฐ๋งˆ ํ•จ์ˆ˜ \(\Gamma(z)\)
๊ณ„์Šน์˜ ์—ฐ์† ํ™•์žฅ์œผ๋กœ, ์Œ์ด ์•„๋‹Œ ์ •์ˆ˜์— ๋Œ€ํ•ด \(\Gamma(n+1)=n!\)์ด๋ฉฐ, ๋น„์ •์ˆ˜ ์ฐจ์ˆ˜๋ฅผ ํ—ˆ์šฉํ•˜๊ธฐ ์œ„ํ•ด \(J_\nu\) ๊ธ‰์ˆ˜์˜ ๋ถ„๋ชจ์— ๋‚˜ํƒ€๋‚ฉ๋‹ˆ๋‹ค. ๊ฐ๋งˆ ํ•จ์ˆ˜ ๊ณ„์‚ฐ๊ธฐ์—์„œ ๊ฐœ๋ณ„ ๊ฐ’์„ ํ™•์ธํ•˜์„ธ์š”.
์˜์ (๊ทผ)
\(J_\nu(x)=0\) ๋˜๋Š” \(Y_\nu(x)=0\)์ธ ๊ฐ’ \(j_{\nu,m}\) ๋ฐ \(y_{\nu,m}\)์ž…๋‹ˆ๋‹ค. ์ด๋“ค์€ ๊ฒฝ๊ณ„๊ฐ’ ๋ฌธ์ œ์—์„œ ๊ณ ์œ ๊ฐ’์œผ๋กœ ์ž‘์šฉํ•˜๋ฉฐ, ์˜ˆ๋ฅผ ๋“ค์–ด ๊ณ ์ •๋œ ๊ฐ€์žฅ์ž๋ฆฌ ์›ํ˜• ๋ง‰์˜ ์ง„๋™ ์ฃผํŒŒ์ˆ˜๋Š” ์˜์  \(j_{\nu,m}\)์— ๋น„๋ก€ํ•ฉ๋‹ˆ๋‹ค.

์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ

์ฐจ์ˆ˜๊ฐ€ ์Œ์ˆ˜๋‚˜ ๋ถ„์ˆ˜์—ฌ๋„ ๋˜๋‚˜์š”? ๋„ค. ๊ธ‰์ˆ˜์™€ ๊ฐ๋งˆ ํ•จ์ˆ˜๊ฐ€ ๋ชจ๋“  ์‹ค์ˆ˜ \(v\)๋ฅผ ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋‹ค๋งŒ ์ •์ˆ˜๊ฐ€ ์•„๋‹Œ \(v\)์—์„œ๋Š” \(x \geq 0\)์„ ์œ ์ง€ํ•˜์„ธ์š”.

\(x = 0\)์—์„œ Y๊ฐ€ ์ •์˜๋˜์ง€ ์•Š๋Š” ์ด์œ ๋Š”? ๋ชจ๋“  ์ œ2์ข… ๋ฒ ์…€ ํ•จ์ˆ˜๋Š” \(x \to 0\)์ผ ๋•Œ ์Œ์˜ ๋ฌดํ•œ๋Œ€๋กœ ๋ฐœ์‚ฐํ•˜๋ฏ€๋กœ ์œ ํ•œํ•œ ๊ฐ’์ด ์กด์žฌํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

์ •ํ™•๋„๋Š” ์–ด๋А ์ •๋„์ธ๊ฐ€์š”? ๊ณ„์‚ฐ์€ ๋ฐฐ์ •๋ฐ€๋„(์•ฝ 15์ž๋ฆฌ์˜ ์œ ํšจ ์ˆซ์ž)๋กœ ์ˆ˜ํ–‰๋ฉ๋‹ˆ๋‹ค. ํ‘œ์‹œ ์ž๋ฆฟ์ˆ˜ ์˜ต์…˜์€ ํ‘œ์‹œ ํ˜•์‹๋งŒ ์กฐ์ ˆํ•  ๋ฟ, ๋‚ด๋ถ€ ๊ณ„์‚ฐ์—๋Š” ์˜ํ–ฅ์„ ์ฃผ์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

์ตœ์ข… ์—…๋ฐ์ดํŠธ: