MCP๋กœ ์—ฐ๊ฒฐ โ†’

๊ณ„์‚ฐ ์ž…๋ ฅ

๊ณต์‹

๊ด‘๊ณ 

๊ฒฐ๊ณผ

์ œ1์ข… ์ฒด๋น„์‡ผํ”„ ๋‹คํ•ญ์‹
T_3(x)
101 rows computed
์ฐจ์ˆ˜ n3
T_n(x) ์ตœ์†Ÿ๊ฐ’-1
T_n(x) ์ตœ๋Œ“๊ฐ’1
x T_3(x)
-1 -1
-0.98 -0.824768
-0.96 -0.658944
-0.94 -0.502336
-0.92 -0.354752
-0.9 -0.216
-0.88 -0.085888
-0.86 0.035776
-0.84 0.149184
-0.82 0.254528
-0.8 0.352
-0.78 0.441792
-0.76 0.524096
-0.74 0.599104
-0.72 0.667008
-0.7 0.728
-0.68 0.782272
-0.66 0.830016
-0.64 0.871424
-0.62 0.906688
-0.6 0.936
-0.58 0.959552
-0.56 0.977536
-0.54 0.990144
-0.52 0.997568
-0.5 1
-0.48 0.997632
-0.46 0.990656
-0.44 0.979264
-0.42 0.963648
-0.4 0.944
-0.38 0.920512
-0.36 0.893376
-0.34 0.862784
-0.32 0.828928
-0.3 0.792
-0.28 0.752192
-0.26 0.709696
-0.24 0.664704
-0.22 0.617408
-0.2 0.568
-0.18 0.516672
-0.16 0.463616
-0.14 0.409024
-0.12 0.353088
-0.1 0.296
-0.08 0.237952
-0.06 0.179136
-0.04 0.119744
-0.02 0.059968
0 -0
0.02 -0.059968
0.04 -0.119744
0.06 -0.179136
0.08 -0.237952
0.1 -0.296
0.12 -0.353088
0.14 -0.409024
0.16 -0.463616
0.18 -0.516672
0.2 -0.568
0.22 -0.617408
0.24 -0.664704
0.26 -0.709696
0.28 -0.752192
0.3 -0.792
0.32 -0.828928
0.34 -0.862784
0.36 -0.893376
0.38 -0.920512
0.4 -0.944
0.42 -0.963648
0.44 -0.979264
0.46 -0.990656
0.48 -0.997632
0.5 -1
0.52 -0.997568
0.54 -0.990144
0.56 -0.977536
0.58 -0.959552
0.6 -0.936
0.62 -0.906688
0.64 -0.871424
0.66 -0.830016
0.68 -0.782272
0.7 -0.728
0.72 -0.667008
0.74 -0.599104
0.76 -0.524096
0.78 -0.441792
0.8 -0.352
0.82 -0.254528
0.84 -0.149184
0.86 -0.035776
0.88 0.085888
0.9 0.216
0.92 0.354752
0.94 0.502336
0.96 0.658944
0.98 0.824768
1 1

์ œ1์ข… ์ฒด๋น„์‡ผํ”„ ๋‹คํ•ญ์‹์ด๋ž€?

\(T_n(x)\)๋กœ ํ‘œ๊ธฐํ•˜๋Š” ์ œ1์ข… ์ฒด๋น„์‡ผํ”„ ๋‹คํ•ญ์‹์€ ์ˆ˜์น˜ํ•ด์„, ๊ทผ์‚ฌ ์ด๋ก , ์‹ ํ˜ธ ์ฒ˜๋ฆฌ, ๋””์ง€ํ„ธ ํ•„ํ„ฐ ์„ค๊ณ„ ์ „๋ฐ˜์—์„œ ๋“ฑ์žฅํ•˜๋Š” ์ง๊ต ๋‹คํ•ญ์‹์˜ ํ•œ ์ข…๋ฅ˜์ž…๋‹ˆ๋‹ค. ์ด ๊ณ„์‚ฐ๊ธฐ๋Š” ์ฐจ์ˆ˜ \(n\), ์‹œ์ž‘ \(x\) ๊ฐ’, ์ฆ๊ฐ€ํญ, ํ–‰ ์ˆ˜๋ฅผ ๋ฐ›์•„ ์›ํ•˜๋Š” \(x\) ๊ตฌ๊ฐ„์— ๋Œ€ํ•œ \(T_n(x)\) ๊ฐ’์˜ ํ‘œ๋ฅผ ๋งŒ๋“ค์–ด ์ค๋‹ˆ๋‹ค. ์ˆœ์ˆ˜ ์ˆ˜ํ•™ ๋„๊ตฌ์ด๋ฏ€๋กœ ๊ตญ๊ฐ€๋‚˜ ์ง€์—ญ์— ๋”ฐ๋ฅธ ๊ทœ์น™ ์—†์ด ์–ด๋””์„œ๋‚˜ ๋™์ผํ•˜๊ฒŒ ์ ์šฉ๋ฉ๋‹ˆ๋‹ค.

๋งˆ์ด๋„ˆ์Šค 1๋ถ€ํ„ฐ 1๊นŒ์ง€ ๊ตฌ๊ฐ„์—์„œ ์ œ1์ข… ์ฒด๋น„์‡ผํ”„ ๋‹คํ•ญ์‹์˜ ์ฒ˜์Œ ๋ช‡ ๊ฐœ ๊ณก์„ 
[-1, 1] ๊ตฌ๊ฐ„์—์„œ \(T_0\)๋ถ€ํ„ฐ \(T_4\)๊นŒ์ง€์˜ ๊ทธ๋ž˜ํ”„, ๋ชจ๋‘ -1๊ณผ 1 ์‚ฌ์ด์—์„œ ์ง„๋™.

์‚ฌ์šฉ ๋ฐฉ๋ฒ•

์ฐจ์ˆ˜ \(n\)(0, 1, 2, 3โ€ฆ ๊ณผ ๊ฐ™์€ ์Œ์ด ์•„๋‹Œ ์ •์ˆ˜)์„ ์ž…๋ ฅํ•˜์„ธ์š”. \(x\)์˜ ์‹œ์ž‘๊ฐ’์„ ์ •ํ•ฉ๋‹ˆ๋‹ค(ํ‘œ์ค€ ์ •์˜์—ญ์€ -1๋ถ€ํ„ฐ 1๊นŒ์ง€์ด์ง€๋งŒ, ์ ํ™”์‹ ์ž์ฒด๋Š” ์ž„์˜์˜ ์‹ค์ˆ˜ \(x\)์— ๋Œ€ํ•ด ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค). ๊ฐ ํ–‰๋งˆ๋‹ค \(x\)์— ๋”ํ•ด์งˆ ์ฆ๊ฐ€ํญ(step)๊ณผ ์ƒ์„ฑํ•  ํ–‰ ์ˆ˜(๋ฐ˜๋ณต ํšŸ์ˆ˜)๋ฅผ ์„ ํƒํ•˜์„ธ์š”. ๊ธฐ๋ณธ ์„ค์ •์ธ \(\text{initialX} = -1\), \(\text{step} = 0.02\), \(\text{rows} = 101\)์€ \(x\)๋ฅผ -1.00์—์„œ +1.00๊นŒ์ง€(์–‘ ๋ ํฌํ•จ) ํ›‘์–ด ๋‚˜๊ฐ‘๋‹ˆ๋‹ค.

๊ณต์‹

์—ฌ๊ธฐ์„œ ์‚ฌ์šฉํ•˜๋Š” ์•ˆ์ •์ ์ธ ๋ฐฉ๋ฒ•์€ ๋‹ค์Œ์˜ 3ํ•ญ ์ ํ™”์‹์ž…๋‹ˆ๋‹ค.

$$T_0(x) = 1, \quad T_1(x) = x, \quad \text{๊ทธ๋ฆฌ๊ณ  } k \ge 2 \text{์ผ ๋•Œ } T_k(x) = 2x \cdot T_{k-1}(x) - T_{k-2}(x).$$

์ด์™€ ๋™๋“ฑํ•˜๊ฒŒ, \(-1 \le x \le 1\) ๊ตฌ๊ฐ„์—์„œ๋Š” ์‚ผ๊ฐํ•จ์ˆ˜ ํ˜•ํƒœ์ธ $$T_n(x) = \cos(n \cdot \arccos x)$$๋กœ๋„ ๋‚˜ํƒ€๋‚ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฒ˜์Œ ๋ช‡ ๊ฐœ์˜ ๋‹คํ•ญ์‹์„ ๋ช…์‹œ์ ์œผ๋กœ ์“ฐ๋ฉด \(T_2(x) = 2x^2 - 1\), \(T_3(x) = 4x^3 - 3x\), \(T_4(x) = 8x^4 - 8x^2 + 1\) ์ž…๋‹ˆ๋‹ค. [-1, 1] ๊ตฌ๊ฐ„์—์„œ๋Š” ํ•ญ์ƒ \(|T_n(x)| \le 1\)์ด ์„ฑ๋ฆฝํ•˜๋ฉฐ, ๊ทธ ๋ฒ”์œ„๋ฅผ ๋ฒ—์–ด๋‚˜๋ฉด ๊ฐ’์˜ ํฌ๊ธฐ๊ฐ€ ๊ธ‰๊ฒฉํžˆ ์ปค์ง‘๋‹ˆ๋‹ค.

๊ฐ ์ฒด๋น„์‡ผํ”„ ๋‹คํ•ญ์‹์ด ์•ž์˜ ๋‘ ๋‹คํ•ญ์‹์œผ๋กœ ๋งŒ๋“ค์–ด์ง€๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ฃผ๋Š” ์ ํ™”์‹ ๋„ํ‘œ
์‚ผํ•ญ ์ ํ™”์‹: ๊ฐ \(T_n\)์€ \(T_{n-1}\)๊ณผ \(T_{n-2}\)๋กœ ๋งŒ๋“ค์–ด์ง„๋‹ค.

๊ณ„์‚ฐ ์˜ˆ์‹œ

\(n = 3\)์ผ ๋•Œ ๋‹คํ•ญ์‹์€ \(T_3(x) = 4x^3 - 3x\) ์ž…๋‹ˆ๋‹ค. \(x = -1\)์—์„œ๋Š” \(4(-1) - 3(-1) = -1\), \(x = -0.5\)์—์„œ๋Š” \(4(-0.125) + 1.5 = 1\), \(x = 0\)์—์„œ๋Š” 0, \(x = 0.5\)์—์„œ๋Š” \(0.5 - 1.5 = -1\), \(x = 1\)์—์„œ๋Š” \(4 - 3 = 1\) ์ž…๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ \(\text{initialX} = -1\), \(\text{step} = 0.5\), \(\text{rows} = 5\)๋กœ ๋งŒ๋“  ํ‘œ๋Š” -1, 1, 0, -1, 1 ์ด๋ผ๋Š” ์ˆ˜์—ด์„ ๋ณด์—ฌ ์ค๋‹ˆ๋‹ค.

์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ

\(n\)์„ 0์œผ๋กœ ๋‘˜ ์ˆ˜ ์žˆ๋‚˜์š”? ๋„ค. ๋ชจ๋“  \(x\)์— ๋Œ€ํ•ด \(T_0(x) = 1\)์ด๋ฏ€๋กœ ๋ชจ๋“  ํ–‰์— 1์ด ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

\(x\)๊ฐ€ [-1, 1] ๋ฒ”์œ„๋ฅผ ๋ฒ—์–ด๋‚˜๋„ ๋˜๋‚˜์š”? ๋ฉ๋‹ˆ๋‹ค. ์ ํ™”์‹์€ (๊ฐ’์ด ์ปค์ง€๋”๋ผ๋„) ์—ฌ์ „ํžˆ ์˜ฌ๋ฐ”๋ฅธ ๊ฒฐ๊ณผ๋ฅผ ๊ณ„์‚ฐํ•ฉ๋‹ˆ๋‹ค. ๋‹ค๋งŒ ์‚ผ๊ฐํ•จ์ˆ˜ ํ˜•ํƒœ๋Š” \(|x| \le 1\)์—์„œ๋งŒ ์œ ํšจํ•ฉ๋‹ˆ๋‹ค.

์ฆ๊ฐ€ํญ์ด 0์ด๋ฉด ์–ด๋–ป๊ฒŒ ๋˜๋‚˜์š”? ๋ชจ๋“  ํ–‰์ด ๊ฐ™์€ \(x\) ๊ฐ’์„ ๋ฐ˜๋ณตํ•ฉ๋‹ˆ๋‹ค. ํ—ˆ์šฉ๋˜๋Š” ์ž…๋ ฅ์ด์ง€๋งŒ ๊ฐ’์ด ์ผ์ •ํ•œ ํ‘œ๊ฐ€ ๋งŒ๋“ค์–ด์ง‘๋‹ˆ๋‹ค.

์ตœ์ข… ์—…๋ฐ์ดํŠธ: