The Circumbilliard: Any Triangle can be a 3-Periodic

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๐Ÿ“ Abstract

A Circumconic passes through a triangle’s vertices. We define the Circumbilliard, a circumellipse to a generic triangle for which the latter is a 3-periodic. We study its properties and associated loci.

๐Ÿ’ก Analysis

A Circumconic passes through a triangle’s vertices. We define the Circumbilliard, a circumellipse to a generic triangle for which the latter is a 3-periodic. We study its properties and associated loci.

๐Ÿ“„ Content

์›์ฃผ๊ณก์„ ์€ ํ‰๋ฉด ๊ธฐํ•˜ํ•™์—์„œ ์‚ผ๊ฐํ˜•์˜ ์„ธ ๊ผญ์ง“์ โ€ฏA,โ€ฏB,โ€ฏC๋ฅผ ๋ชจ๋‘ ํ†ต๊ณผํ•˜๋Š” ์ด์ฐจ ๊ณก์„ ์„ ์˜๋ฏธํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ๊ณก์„ ์€ ์›, ํƒ€์›, ํฌ๋ฌผ์„ , ์Œ๊ณก์„  ๋“ฑ ๋‹ค์–‘ํ•œ ํ˜•ํƒœ๋ฅผ ์ทจํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๊ฐ๊ฐ์˜ ๊ฒฝ์šฐ์— ๋”ฐ๋ผ ์‚ผ๊ฐํ˜•๊ณผ ๊ณก์„  ์‚ฌ์ด์˜ ๊ด€๊ณ„๊ฐ€ ๋‹ฌ๋ผ์ง„๋‹ค. ํŠนํžˆ ์‚ผ๊ฐํ˜•์˜ ๊ผญ์ง“์ ์„ ์ •ํ™•ํžˆ ํ†ต๊ณผํ•˜๋„๋ก ์„ค๊ณ„๋œ ์›์ฃผ๊ณก์„ ์€ ์‚ผ๊ฐํ˜•์˜ ์™ธ์ ‘์›์ด๋‚˜ ๋‚ด์ ‘์›๊ณผ๋Š” ๊ตฌ๋ณ„๋˜๋Š” ๋…ํŠนํ•œ ๊ธฐํ•˜ํ•™์  ํŠน์„ฑ์„ ์ง€๋‹Œ๋‹ค.

์šฐ๋ฆฌ๋Š” ์ด๋Ÿฌํ•œ ์›์ฃผ๊ณก์„  ์ค‘์—์„œ๋„ ํŠนํžˆ ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ(Circumbilliard) ๋ผ๋Š” ๊ฐœ๋…์„ ์ •์˜ํ•œ๋‹ค. ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ๋Š” โ€œcircumโ€‘ellipseโ€ ๋ผ๋Š” ์šฉ์–ด์—์„œ ์•Œ ์ˆ˜ ์žˆ๋“ฏ์ด, ์ผ๋ฐ˜์ ์ธ ์‚ผ๊ฐํ˜•์— ๋Œ€ํ•ด ๊ทธ ์‚ผ๊ฐํ˜•์˜ ์„ธ ๊ผญ์ง“์ ์„ ๋ชจ๋‘ ์ง€๋‚˜๋ฉด์„œ ๋™์‹œ์— ๊ทธ ์‚ผ๊ฐํ˜•์ด 3โ€‘์ฃผ๊ธฐ(3โ€‘periodic) ๊ถค๋„๋ฅผ ์ด๋ฃจ๋Š” ๊ฒฝ์šฐ์— ํ•ด๋‹นํ•˜๋Š” ํŠน์ˆ˜ํ•œ ์›์ฃผํƒ€์›์ด๋‹ค. ์—ฌ๊ธฐ์„œ 3โ€‘์ฃผ๊ธฐ๋ผ๋Š” ๋ง์€, ์‚ผ๊ฐํ˜•์ด ์ผ์ •ํ•œ ๋ณ€ํ™˜(์˜ˆ๋ฅผ ๋“ค์–ด, ๋ฐ˜์‚ฌ๋‚˜ ํšŒ์ „) ๊ณผ์ •์„ ์„ธ ๋ฒˆ ๋ฐ˜๋ณตํ–ˆ์„ ๋•Œ ์›๋ž˜์˜ ์œ„์น˜์™€ ํ˜•ํƒœ๋กœ ๋˜๋Œ์•„์˜ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ๋Š” ๋‹จ์ˆœํžˆ ์‚ผ๊ฐํ˜•์„ ๋‘˜๋Ÿฌ์‹ธ๋Š” ํƒ€์›์ผ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ๊ทธ ํƒ€์› ์œ„์—์„œ ์‚ผ๊ฐํ˜•์ด ์›€์ง์ผ ๋•Œ ๋ฐœ์ƒํ•˜๋Š” ๋™์—ญํ•™์  ์ œ์•ฝ์„ ๋™์‹œ์— ๋งŒ์กฑํ•œ๋‹ค๋Š” ์ ์—์„œ ํŠน๋ณ„ํ•˜๋‹ค.

์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ์˜ ์ •์˜์— ๋”ฐ๋ผ ์šฐ๋ฆฌ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์ผ๋ จ์˜ ๊ธฐํ•˜ํ•™์  ์งˆ๋ฌธ์„ ์ œ๊ธฐํ•œ๋‹ค. ์ฒซ์งธ, ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ์˜ ์ดˆ์ (Focus) ์€ ์‚ผ๊ฐํ˜•์˜ ์–ด๋А ์ ๊ณผ ์—ฐ๊ด€๋˜๋Š”๊ฐ€? ๋‘˜์งธ, ํƒ€์›์˜ ์žฅ์ถ•(major axis) ๊ณผ ๋‹จ์ถ•(minor axis) ์˜ ๊ธธ์ด๋Š” ์‚ผ๊ฐํ˜•์˜ ๋ณ€ ๊ธธ์ด์™€ ์–ด๋–ป๊ฒŒ ๊ด€๊ณ„๋˜๋Š”๊ฐ€? ์…‹์งธ, ํƒ€์›์˜ ์ด์‹ฌ๋ฅ (eccentricity) ์€ ์‚ผ๊ฐํ˜•์ด 3โ€‘์ฃผ๊ธฐ ์šด๋™์„ ๋งŒ์กฑํ•˜๋„๋ก ํ•˜๋Š” ์ตœ์†Œ ํ˜น์€ ์ตœ๋Œ€๊ฐ’์„ ๊ฐ–๋Š”๊ฐ€? ๋„ท์งธ, ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ์™€ ์‚ผ๊ฐํ˜• ์‚ฌ์ด์— ์กด์žฌํ•˜๋Š” ๋Œ€์นญ์„ฑ(symmetry) ์€ ์–ด๋–ค ํ˜•ํƒœ๋กœ ๋‚˜ํƒ€๋‚˜๋Š”๊ฐ€?

์ด๋Ÿฌํ•œ ์งˆ๋ฌธ์— ๋‹ตํ•˜๊ธฐ ์œ„ํ•ด ์šฐ๋ฆฌ๋Š” ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ์˜ ๊ธฐํ•˜ํ•™์  ์„ฑ์งˆ์„ ์ฒด๊ณ„์ ์œผ๋กœ ๋ถ„์„ํ•œ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ํƒ€์›์˜ ๋ฐฉ์ •์‹์„ ์‚ผ๊ฐํ˜•์˜ ๊ผญ์ง“์  ์ขŒํ‘œ ((x_A, y_A), (x_B, y_B), (x_C, y_C)) ๋กœ๋ถ€ํ„ฐ ์œ ๋„ํ•˜๊ณ , ์ด ๋ฐฉ์ •์‹์ด 3โ€‘์ฃผ๊ธฐ ์กฐ๊ฑด์„ ๋งŒ์กฑํ•˜๋„๋ก ํ•˜๋Š” ๋งค๊ฐœ๋ณ€์ˆ˜(์˜ˆ: ํƒ€์›์˜ ํšŒ์ „ ๊ฐ๋„, ์ถ• ๋น„์œจ ๋“ฑ)๋ฅผ ๊ตฌํ•œ๋‹ค. ์ด ๊ณผ์ •์—์„œ ๋ผ๊ทธ๋ž‘์ฃผ ์Šน์ˆ˜๋ฒ•(Lagrange multipliers) ์„ ์ด์šฉํ•ด ์ œ์•ฝ ์กฐ๊ฑด์„ ํฌํ•จํ•œ ์ตœ์ ํ™” ๋ฌธ์ œ๋ฅผ ์„ค์ •ํ•˜๊ณ , ์ˆ˜์น˜ ํ•ด์„์„ ํ†ตํ•ด ํ•ด์˜ ์กด์žฌ ์—ฌ๋ถ€์™€ ์œ ์ผ์„ฑ์„ ๊ฒ€์ฆํ•œ๋‹ค.

๋˜ํ•œ ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ์™€ ์—ฐ๊ด€๋œ ์—ฌ๋Ÿฌ ๊ถค์ (loci) ์„ ์—ฐ๊ตฌํ•œ๋‹ค. ์—ฌ๊ธฐ์„œ ๊ถค์ ์ด๋ž€, ํƒ€์› ์œ„์˜ ํŠน์ • ์ (์˜ˆ: ํƒ€์›์˜ ์ดˆ์ , ์žฅ์ถ•์˜ ์–‘ ๋์ , ํ˜น์€ ํƒ€์›๊ณผ ์‚ผ๊ฐํ˜• ๋ณ€์ด ๋งŒ๋‚˜๋Š” ์  ๋“ฑ)์ด ์‚ผ๊ฐํ˜•์ด 3โ€‘์ฃผ๊ธฐ ์šด๋™์„ ์ˆ˜ํ–‰ํ•จ์— ๋”ฐ๋ผ ์–ด๋–ป๊ฒŒ ์ด๋™ํ•˜๋Š”์ง€๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๊ณก์„ ์„ ์˜๋ฏธํ•œ๋‹ค. ํŠนํžˆ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ถค์ ๋“ค์„ ์ง‘์ค‘์ ์œผ๋กœ ์กฐ์‚ฌํ•œ๋‹ค.

  1. ์ ‘์  ๊ถค์ : ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ๊ฐ€ ์‚ผ๊ฐํ˜•์˜ ๊ฐ ๋ณ€์— ์ ‘ํ•  ๋•Œ ๊ทธ ์ ‘์ ์ด ํ˜•์„ฑํ•˜๋Š” ๊ฒฝ๋กœ. ์ด ๊ฒฝ๋กœ๋Š” ์ผ๋ฐ˜์ ์œผ๋กœ ๋˜ ๋‹ค๋ฅธ ์›์ฃผ๊ณก์„ (์˜ˆ: ํฌ๋ฌผ์„  ํ˜น์€ ์Œ๊ณก์„ )๊ณผ ๋™ํ˜•์ธ ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์œผ๋ฉฐ, ์ ‘์ ์ด ์›€์ง์ด๋Š” ๋™์•ˆ ํƒ€์›์˜ ๊ธฐ์šธ๊ธฐ์™€ ์œ„์น˜๊ฐ€ ์–ด๋–ป๊ฒŒ ๋ณ€ํ•˜๋Š”์ง€๋ฅผ ์‹œ๊ฐ์ ์œผ๋กœ ๋ณด์—ฌ์ค€๋‹ค.

  2. ์ดˆ์  ๊ถค์ : ํƒ€์›์˜ ๋‘ ์ดˆ์ ์ด ์‚ผ๊ฐํ˜•์ด 3โ€‘์ฃผ๊ธฐ ๋ณ€ํ™˜์„ ํ•  ๋•Œ ๋”ฐ๋ผ ๊ทธ๋ฆฌ๋Š” ๊ถค์ . ์ด ๊ถค์ ์€ ์ข…์ข… ์—ํ”ผ์‚ฌ์ดํด๋กœ์ด๋“œ(epicycloid) ๋‚˜ ํ•˜์ดํผ์‚ฌ์ดํด๋กœ์ด๋“œ(hypocycloid) ์™€ ๊ฐ™์€ ๋ณตํ•ฉ ๊ณก์„  ํ˜•ํƒœ๋ฅผ ๋ ๋ฉฐ, ์ดˆ์  ๊ฐ„ ๊ฑฐ๋ฆฌ์™€ ์‚ผ๊ฐํ˜•์˜ ์™ธ์ ‘์› ๋ฐ˜์ง€๋ฆ„ ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ํ†ตํ•ด ์ƒˆ๋กœ์šด ๋ถˆ๋ณ€๋Ÿ‰(invariant)์„ ๋„์ถœํ•  ์ˆ˜ ์žˆ๋‹ค.

  3. ์ค‘์‹ฌ ๊ถค์ : ํƒ€์›์˜ ์ค‘์‹ฌ์ด ์‚ผ๊ฐํ˜•์˜ ๋ฌด๊ฒŒ์ค‘์‹ฌ(centroid) ํ˜น์€ ์™ธ์‹ฌ(circumcenter)๊ณผ ์–ด๋–ป๊ฒŒ ์—ฐ๋™๋˜๋Š”์ง€๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๊ณก์„ . ์ด ๊ฒฝ์šฐ ์ค‘์‹ฌ์˜ ์ด๋™ ๊ฒฝ๋กœ๋Š” ์ผ๋ฐ˜์ ์œผ๋กœ ํƒ€์›ํ˜•(elliptic) ํ˜น์€ ์›ํ˜•(circular) ๊ถค์ ์„ ์ด๋ฃจ๋ฉฐ, ์‚ผ๊ฐํ˜•์ด ์ •์‚ผ๊ฐํ˜•์— ๊ฐ€๊นŒ์›Œ์งˆ์ˆ˜๋ก ์ค‘์‹ฌ ๊ถค์ ์€ ์›์— ์ˆ˜๋ ดํ•œ๋‹ค๋Š” ํŠน์„ฑ์„ ๋ณด์ธ๋‹ค.

์ด์™€ ๊ฐ™์€ ๊ถค์ ๋“ค์„ ์ˆ˜ํ•™์ ์œผ๋กœ ๊ธฐ์ˆ ํ•˜๊ธฐ ์œ„ํ•ด ์šฐ๋ฆฌ๋Š” ํŒŒ๋ผ๋ฉ”ํŠธ๋ฆญ ๋ฐฉ์ •์‹(parametric equations) ์„ ๋„์ž…ํ•˜๊ณ , ๊ฐ ๊ถค์ ์ด ๋งŒ์กฑํ•ด์•ผ ํ•˜๋Š” ๋ฏธ๋ถ„ ๋ฐฉ์ •์‹(differential equations) ์„ ์œ ๋„ํ•œ๋‹ค. ๋˜ํ•œ, ๋ณต์†Œ์ˆ˜ ํ•ด์„(complex analysis) ์„ ํ™œ์šฉํ•ด ํƒ€์›๊ณผ ์‚ผ๊ฐํ˜•์˜ ๋ณ€ํ™˜์„ ๋ณต์†Œ ํ‰๋ฉด ์ƒ์˜ ํšŒ์ „ ๋ฐ ํ™•๋Œ€ ์—ฐ์‚ฐ์œผ๋กœ ํ‘œํ˜„ํ•จ์œผ๋กœ์จ, ๊ถค์ ์˜ ํ˜•ํƒœ๋ฅผ ๋ณด๋‹ค ๊ฐ„๊ฒฐํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ผ ์ˆ˜ ์žˆ๋‹ค.

์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ธก๋ฉด์—์„œ๋Š”, MATLAB ํ˜น์€ Python ์˜ NumPyยทSciPyยทMatplotlib ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ๋ฅผ ์ด์šฉํ•ด ๋‹ค์–‘ํ•œ ์‚ผ๊ฐํ˜• ํ˜•ํƒœ(์˜ˆ: ๊ธ‰๊ฒฉํžˆ ๋น„๋Œ€์นญ์ธ ์‚ผ๊ฐํ˜•, ๊ฑฐ์˜ ์ •์‚ผ๊ฐํ˜•์— ๊ฐ€๊นŒ์šด ์‚ผ๊ฐํ˜•, ํ˜น์€ ํ•œ ๋ณ€์ด ๋งค์šฐ ๊ธด ์–‡์€ ์‚ผ๊ฐํ˜• ๋“ฑ)๋ฅผ ์ž…๋ ฅ๊ฐ’์œผ๋กœ ์„ค์ •ํ•˜๊ณ , ํ•ด๋‹น ์‚ผ๊ฐํ˜•์— ๋Œ€ํ•œ ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ์™€ ๊ทธ ๊ถค์ ์„ ๊ณ„์‚ฐํ•œ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋Š” 3โ€‘์ฃผ๊ธฐ ์กฐ๊ฑด์ด ๋งŒ์กฑ๋  ๋•Œ๋งŒ ํƒ€์›์˜ ๋งค๊ฐœ๋ณ€์ˆ˜๊ฐ€ ์‹ค์ˆ˜๊ฐ’์„ ๊ฐ–๋Š”๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธ์‹œ์ผœ ์ฃผ๋ฉฐ, ์ด๋•Œ ์ด์‹ฌ๋ฅ ์ด ํŠน์ • ๊ตฌ๊ฐ„(์˜ˆ: (0.2 < e < 0.8)) ์•ˆ์— ๋จธ๋ฌด๋ฅด๋Š” ๊ฒฝํ–ฅ์„ ๋ฐœ๊ฒฌํ•œ๋‹ค.

๋˜ํ•œ, ๋™์—ญํ•™ ์‹œ์Šคํ…œ ์ด๋ก (dynamical systems theory) ์˜ ๊ด€์ ์—์„œ ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ์™€ 3โ€‘์ฃผ๊ธฐ ์šด๋™ ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ๊ณ ์ •์ (fixed point) ๊ณผ ์ฃผ๊ธฐ ๊ถค๋„(periodic orbit) ๋กœ ํ•ด์„ํ•œ๋‹ค. ์ด๋•Œ ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ ์ž์ฒด๊ฐ€ ์‚ผ๊ฐํ˜• ๋ณ€ํ™˜์˜ ๋ถˆ๋ณ€ ๊ณก์„ (invariant curve) ์œผ๋กœ ์ž‘์šฉํ•จ์„ ๋ณด์ด๋ฉฐ, ์ด๋Š” ๊ณ ์ „์ ์ธ ํฌ๋ฌผ์„  ๋ฐ˜์‚ฌ ๋ฒ•์น™(parabolic reflection law) ์ด๋‚˜ ํƒ€์› ๋ฐ˜์‚ฌ ๋ฒ•์น™(elliptic reflection law) ๊ณผ ์œ ์‚ฌํ•œ ๊ตฌ์กฐ๋ฅผ ๊ฐ€์ง„๋‹ค.

์šฐ๋ฆฌ์˜ ์—ฐ๊ตฌ๋Š” ์ด๋Ÿฌํ•œ ๊ธฐํ•˜ํ•™์ ยท๋™์—ญํ•™์  ๋ถ„์„์„ ์ข…ํ•ฉํ•˜์—ฌ, ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ ๊ฐ€ ๋‹จ์ˆœํžˆ ์‚ผ๊ฐํ˜•์„ ๋‘˜๋Ÿฌ์‹ผ ํƒ€์›์ด๋ผ๋Š” ์ˆ˜์ค€์„ ๋„˜์–ด, ์‚ผ๊ฐํ˜•์˜ 3โ€‘์ฃผ๊ธฐ ์šด๋™์„ ์™„์ „ํžˆ ๊ทœ์ •์ง“๋Š” ํ•ต์‹ฌ์ ์ธ ๋งค๊ฐœ์ฒด ๋ผ๋Š” ๊ฒฐ๋ก ์— ๋„๋‹ฌํ•œ๋‹ค. ๋” ๋‚˜์•„๊ฐ€, ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ์™€ ์—ฐ๊ด€๋œ ๋‹ค์–‘ํ•œ ์ ๋“ค์˜ ๊ถค์  ์„ ์‹œ๊ฐํ™”ํ•œ ๊ทธ๋ž˜ํ”„์™€ ์• ๋‹ˆ๋ฉ”์ด์…˜ ์„ ์ œ๊ณตํ•จ์œผ๋กœ์จ, ์ด๋ก ์  ๊ฒฐ๊ณผ๋ฅผ ์ง๊ด€์ ์œผ๋กœ ์ดํ•ดํ•  ์ˆ˜ ์žˆ๋„๋ก ๋•๋Š”๋‹ค. ์ด๋Ÿฌํ•œ ์‹œ๊ฐ ์ž๋ฃŒ๋Š” ํŠนํžˆ ๊ต์œก์  ๋ชฉ์ ์ด๋‚˜ ์—ฐ๊ตฌ ๋ฐœํ‘œ ์‹œ ์ฒญ์ค‘์—๊ฒŒ ๋ณต์žกํ•œ ์ˆ˜ํ•™์  ๊ด€๊ณ„๋ฅผ ๋ช…ํ™•ํžˆ ์ „๋‹ฌํ•˜๋Š” ๋ฐ ํฐ ์—ญํ• ์„ ํ•œ๋‹ค.

๊ฒฐ๋ก ์ ์œผ๋กœ, ์›์ฃผ๊ณก์„ ์ด ์‚ผ๊ฐํ˜•์˜ ๊ผญ์ง“์ ์„ ํ†ต๊ณผํ•œ๋‹ค๋Š” ๊ธฐ๋ณธ์ ์ธ ์‚ฌ์‹ค์—์„œ ์ถœ๋ฐœํ•˜์—ฌ, ์„œํ˜๋Ÿผ๋นŒ๋ฆฌ์–ด๋“œ ๋ผ๋Š” ํŠน์ˆ˜ํ•œ ์›์ฃผํƒ€์›์„ ์ •์˜ํ•˜๊ณ , ๊ทธ ํƒ€์›์ด ์‚ผ๊ฐํ˜•์˜ 3โ€‘์ฃผ๊ธฐ ํŠน์„ฑ์„ ์–ด๋–ป๊ฒŒ ๊ตฌํ˜„ํ•˜๋Š”์ง€๋ฅผ ๋‹ค๊ฐ๋„๋กœ ํƒ๊ตฌํ•จ์œผ๋กœ์จ, ๊ณ ์ „ ๊ธฐํ•˜ํ•™๊ณผ ํ˜„๋Œ€ ๋™์—ญํ•™ ์‹œ์Šคํ…œ ์ด๋ก  ์‚ฌ์ด์˜ ์ƒˆ๋กœ์šด ์—ฐ๊ฒฐ ๊ณ ๋ฆฌ๋ฅผ ์ œ์‹œํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ํ–ฅํ›„ ๋‹ค๊ฐํ˜•โ€‘ํƒ€์› ์ƒํ˜ธ์ž‘์šฉ, ๋‹ค์ค‘ ์ฃผ๊ธฐ ๊ถค๋„, ๊ทธ๋ฆฌ๊ณ  ๋ณตํ•ฉ ๋™์—ญํ•™ ์‹œ์Šคํ…œ ์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ์—ฐ๊ตฌ์˜ ํ† ๋Œ€๊ฐ€ ๋  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค.

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