Lecture 01

Vector Space

  1. ๋ง์…ˆ์— ๋‹ซํ˜€์žˆ๋‹ค.
  2. ์Šค์นผ๋ผ๋ฐฐ์— ๋‹ซํ˜€์žˆ๋‹ค.

Subspace

๋ฒกํ„ฐ๊ณต๊ฐ„ $V_n$ ์˜ ๋ถ€๋ถ„ ์ง‘ํ•ฉ $W_n$์ด ๋ฒกํ„ฐ๊ณต๊ฐ„์ด๋ฉด, $W_n$์„ $V_n$์˜ ๋ถ€๋ถ„๊ณต๊ฐ„์ด๋ผ๊ณ  ํ•œ๋‹ค.

์ฆ‰, $W_n$์ด ๋ถ€๋ถ„๊ณต๊ฐ„์ด๋ ค๋ฉด, ๋ง์…ˆ๊ณผ ์Šค์นผ๋ผ๋ฐฐ์— ๋‹ซํ˜€์žˆ์œผ๋ฉด ๋œ๋‹ค.

Gauss-Jordan Elimination

  • ํ™•์žฅํ–‰๋ ฌ์„ ๊ธฐ์•ฝํ–‰์‚ฌ๋‹ค๋ฆฌ๊ผด(RREF, reduced row echelon form)๋กœ ๋ฐ”๊พธ๋Š” ์•Œ๊ณ ๋ฆฌ์ฆ˜
  • ๊ฐ€์šฐ์Šค์กฐ๋˜ ์†Œ๊ฑฐ๋ฒ• = ๊ฐ€๊ฐ๋ฒ• + ๋Œ€์ž…๋ฒ•

์„ ํ˜•์‚ฌ์ƒ์˜ ํŠน์ง•

  1. ๊ฐ€์‚ฐ์„ฑ $f(x+y) = f(x) + f(y)$
  2. ๋™์ฐจ์„ฑ $f(ax) = af(x)$

LU Decomposition

$E_{k}...E_{2}E_{1}A = U$
=> $A = E_{1}^{-1}E_{2}^{-1}...E_{k}^{-1}U = LU$

  • ์—ฌ๊ธฐ์„œ $E_{k}...E_{2}E_{1}$๋Š” ํ•˜์‚ผ๊ฐํ–‰๋ ฌ์ด๋ฉฐ, $E_{1}^{-1}E_{2}^{-1}...E_{k}^{-1}$๋„ ํ•˜์‚ผ๊ฐํ–‰๋ ฌ์ด๋‹ค.

๊ทผ๊ฑฐ(1) ๊ฐ€์šฐ์Šค ์†Œ๊ฑฐ๋ฒ•์„ ์‹œํ–‰ํ•  ๋•Œ ์‚ฌ์šฉ๋˜๋Š” ๋ชจ๋“  ๊ธฐ๋ณธํ–‰๋ ฌ์€ ํ•ญ์ƒ ํ•˜์‚ผ๊ฐํ–‰๋ ฌ์ด๋‹ค. (๋‹จ, ํ–‰๊ตํ™˜ ์ œ์™ธ)

๊ทผ๊ฑฐ(2) ํ•˜์‚ผ๊ฐํ–‰๋ ฌ์ธ ๊ธฐ๋ณธํ–‰๋ ฌ์˜ ์—ญํ–‰๋ ฌ์€ ์—ฌ์ „ํžˆ ํ•˜์‚ผ๊ฐํ–‰๋ ฌ์ด๋‹ค.

๊ทผ๊ฑฐ(3) ํ•˜์‚ผ๊ฐํ–‰๋ ฌ $\times$ ํ•˜์‚ผ๊ฐํ–‰๋ ฌ = ํ•˜์‚ผ๊ฐํ–‰๋ ฌ

PLU Decomposition

ํ–‰๊ตํ™˜์ด ํ•„์š”ํ•œ ๊ฒฝ์šฐ, ํ–‰๊ตํ™˜์„ ๋ฏธ๋ฆฌ ํ•ด์ฃผ๊ณ  LU ๋ถ„ํ•ดํ•˜๋Š” ๋ฒ• (P: permutation)



์šฉ์–ด ์ •๋ฆฌ
  • consistent: ํ•ด๊ฐ€ ์ ์–ด๋„ ํ•œ ๊ฐœ๋Š” ์žˆ๋Š” ๊ฒฝ์šฐ
  • homogeneous: ๋™์ฐจ (ex. $A\vec{x} = \vec{0}$: ๋™์ฐจ ์—ฐ๋ฆฝ์„ ํ˜•๋ฐฉ์ •์‹)


๋ชฉ์ฐจ