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로드 중.... (전체 텍스트 보기)

전체 글

(1)

R c

p Œ £ ?ù m Çc Ü R ±  q “ Ö ¨; c" e ß O Ë4 ì Å8 ý  ú m ÇM 

™ »¬ £# Ü  · ™ » . > * >

Õ

ü æz  ´@ /† < Ɠ § Ó ü t o † < Æõ , " fÖ  ¦ 156-743 (2007¸   12 Z 4 12{ 9  ~ à Î6 £ §)

{

Œ

™F K| 9  ) a ¸ ú š6 £ § \ " f_   â > €    } 9 l \  ¦ ƒ  ½ ¨ % i  .  â > €   Z  } s _  ³ ðï  r¼ #  “    } 9 l  W   H ¨ î + þ A



© œI \ " f L

α

\  q Y V  9, s  M : L“ É r l ó ø Í_  ß ¼l , ፠ H  } 9 l  t à ºs  . d = 1 + 1\ " f ¸ ú š6 £ § _  [ jl 

\

    Ä »´ òô  Ç  } 9 l  t à º α

ef f

\  ¦ 8 £ ¤& ñ % i `  ¦ M :, ¸ ú š6 £ § _  [ jl  Á ºô  Ç@ /– Ð ° ú ˜Ã º2 Ÿ ¤ ፠ H 0.66 Ü ¼– Ð ] X 



 H % i  . α = 2/3° ú כ“ É r Kardar-Parisi-Zhang (KPZ) d ” _  1/z

KP Z

ü < ¸ ú ˜ @ /6 £ x ) a  . d = 2 + 1\ " f  H α

ef f

 ¸ ú š6 £ § _  [ jl ü < › ' a > \ O s  α = 0.41 ± 0.01– Ð { 9 & ñ % i  .

PACS numbers: 05.40.-a, 68.35.Ct

Keywords:  â > €    } 9 l , { Œ ™F K| 9  ) a ¸ ú š6 £ §, ~ ½ ӆ ¾ Ó$ í ×  æ ½ + Ë^ ‰, » ¡ ¤' ‘  ‰ & ³ © œ

I. " e  ] Ø

þ

j   H ³ ð€   $ í  © œ ‰ & ³ © œ\  e ” # Q" f B | 9  s   â > €  _    } 9

l \  @ /ô  Ç ´ ú §“ É r ƒ  ½ ¨ ”  ' Ÿ ÷ &“ ¦ e ”  . : £ ¤ y , Ô  ¦í  HÓ ü t s  e ”

  H œ í„  • ¸^ ‰\ " f_   l ‚  5 Å q õ  q ç  H| 9  B | 9 \ " f { 9   _

 @& h s   f  ¨ ‚ à ÌÜ ¼– Ð Ò q tl   H ³ ð€  \  @ /ô  Ç ƒ  ½ ¨  Ö ¸ µ 1 Ï y

 ”  ' Ÿ ÷ &“ ¦ e ”   [1–4]. B | 9  ? /_  Ô  ¦í  HÓ ü t“ É r r ç ß –\   



      H € ª œs   m  9, 0 Au  (x, h)\ ë ß – _ ” > r   H € ª œs 



. s \  ¦ { Œ ™F K| 9  ) a ¸ ú š6 £ § (quenched noise) s  “ ¦ & ñ _  

“

¦ η(x, h(x, t))– Ð ³ ðl ô  Ç . # Œl " f h  H    & h  x\ " f_ 

³

ð€   Z  } s \  ¦ _ p ô  Ç .  â > €   ³ ð€   Z  } s  h  H    & h  xü <

r

ç ß – t_  † < Êà ºs  . B | 9 _  ³ ð€  \  η(x, h(x, t))  H Ô  ¦í  HÓ ü t

%

ƒ! 3  “ ¦& ñ ÷ &# Q e ”  . Ä ºo   H # Œl " f { Œ ™F K| 9  ) a ¸ ú š6 £ § \   



  â > €  _   } 9 l  # Qb  G>       H t  8 £ ¤& ñ “ ¦  ô  Ç



. s \  K x 9 ž Ðm î ß –“ É r ³ ð€  \     H =

Z

path

dx

"

ν  ∂h

∂x

 2

+ η(x, h)

#

(1)

–

Ð ³ ð‰ & ³ ) a   [6]. d ”  (1)\ " f ' Í P :† ½ ӓ É r ³ ð€  `  ¦ ¨ î ¨ î >  ë

ß –[ þ t “ ¦, Ñ ü t P :† ½ ӓ É r ³ ð€  `  ¦  } 9 >    H ¸ ú š6 £ § s  . ¿ º † ½ Ós 

 â

Ô q t €  " f ³ ð€  _   } 9 l    & ñ  ) a  . s  M : η(x, h)  H {

Œ

™F K| 9  ) a ¸ ú š6 £ § s  . Ä ºo   6   x   H ¸ ú š6 £ § _  ¨ î ç  H ° ú כ“ É r hη(x, h)i = 0 s “ ¦ ¸ ú š6 £ § _   © œ › ' a› ' a >   H

hη(x, h)η(x 0 , h 0 )i = 2Dδ(x − x 0 )δ(h − h 0 ) (2) Ü

¼– Ð ³ ð‰ & ³ ) a  .  ⠖ Ð\    É r \  -t   H ³ ð€  s  6 f# Q”   \ 



-t ü <  ⠖ Ð : Ÿ x õ    H ¸ ú š6 £ §[ þ t _  ½ + ËÜ ¼– Ð ³ ð‰ & ³ ) a  . s 

E-mail: [email protected]



Qô  Ç ³ ð€  _   } 9 l  W   H ³ ð€  Z  } s  h_  כ ¹1 l x Ü ¼– Ð Å Ò# Q

”

   [7–9].  â > €  _   } 9 l   H W 2 (L, t) = D

(h(t) − h(t)) 2 E

(3)

–

Ð Z  } s  h_  ³ ðï  r ¼ #  – Ð & ñ _   ) a  . s  M : L“ É r > _  ß ¼ l

, / B N ç ß –& h  ¨ î ç  H s “ ¦ F ‹ c   ñ hi  H  € ª œô  Ç ¸ ú š6 £ § \  @ /ô  Ç ¨ î ç  H

`

 ¦ _ p ô  Ç  [1,2].  } 9 l   H  6 £ § _  » ¡ ¤' ‘  › ' a > d ” `  ¦ ë ß – 7

á

¤ r †   .

W 2 (L, t) ∼ L g(t/L z ) (4) z  H 1 l x% i † < Æ t à º, ፠ H  } 9 l  t à ºs   .  } 9 l  t à º  H ]

jô  ǝ ) a > _  ß ¼l \ " f Ø  æì  r ô  Ç r ç ß –s  t è ß – Ê ê\  Ÿ í o  ) a

 â

> €  _  כ ¹1 l x`  ¦ 8 £ ¤& ñ ô  Ç € ª œs  . { 9 ì ø Í& h Ü ¼– Ð » ¡ ¤' ‘  † < Êà º g(x)  H œ íl \   H r ç ß –_  t à º † < Êà º– Ð $ í  © œ   Ø  æì  r ô

 Ç r ç ß –s  t  €  " f Ÿ í o © œI  ÷ &# Q { 9 & ñ ô  Ç ° ú כ`  ¦ Ä »t  ô

 Ç .

g(x) ∼  x x  1 const. x  1

#

Œl " f ⍠ H $ í  © œ t à ºs “ ¦, β = α/z_  › ' a > \  ¦ ° ú   H  .

{ 9

ì ø Í& h “    â > €   $ í  © œ — ¸4 S q_   â Ä º @ / Òì  r 0 Aü < ° ú  “ É r » ¡ ¤ '

‘  † < Êà º\  ¦ ë ß –7 á ¤ ô  Ç .

II. { ¢¨ | Ê Ý  ¹ ō ˜ mS ó o Þ U ê s0 n É

{

Œ

™F K| 9  ) a ¸ ú š6 £ §`  ¦ t   H  â > €  _   } 9 l  ƒ  ½ ¨\  e ” # Q

"

f, l œ í€  s  { 9  “   ³ ð€  Z  } s \  ¦ h(x), ¸ ú š6 £ §`  ¦ η(x, h) – Ð

-88-

(2)

³

ðr  €   K x 9 ž Ðm î ß –“ É r d ”  (1)õ  ° ú  s    è ­ q à º e ”  .

„

 í ß –r Ð 3 x“ É r œ íl › ¸| `  ¦ ¨ î ¨ î ô  Ç ³ ð€  , 7 £ ¤ h = 0 – Ð “ ¦ ‚   + þ

A& h “   ß ¼l  L“   > \  Å Òl & h   â > › ¸| `  ¦ & h 6   x €  " f z  ´ r

Ù þ ¡ . s  M : { Œ ™F K| 9  ¸ ú š6 £ § η(x, h)  H [−∆, ∆]  s \  ç  H { 9

 >  ì  r Ÿ í÷ &  H z  ´Ã º° ú כ`  ¦  6   x  9 r ç ß –\  _ K " f   

t  · ú §  H  . Ä ºo  — ¸4 S q\  @ /ô  Ç  7 H _ … º ú ˜– Ð ~ ½ ÓZ O “ É r  6 £ § õ

 ° ú   .

(1) > _  ß ¼l  Ls “ ¦ y Œ •    _  œ íl  Z  } s  — ¸¿ º 0“   ¨ î ¨ î ô  Ç ³ ð€  `  ¦ ï  r q ô  Ç .

(2) −∆ \ " f ∆ s _  ç  H{ 9 ô  Ç ì  r Ÿ í\  ¦ ° ú   H z  ´Ã º+ þ A è ß – Ã

º η(x, h)\  ¦ y Œ •    & h \  V ,   H  .

(3) e ” _ _  ‚  × þ ˜ ) a     i_  Z  } s  h i \  ¦ 1/2 _  S X ‰Ò  ¦ – Ð 7 £ x

  y Œ ™™ è # ŒÂ Ò\  ¦   & ñ ô  Ç .

(4) 7 £ x   y Œ ™™ è\    É r \  -t _     o ∆E  H

E =

L

X

i

[ν(∇h i ) 2 + η(i, h i )] (5)

\

    > í ß –ô  Ç .

(5) e −∆E/k

B

T _  S X ‰Ò  ¦ – Ð Õ ª r • ¸\  ¦ $ í w n r v    Á ºí ß – r

†   . # Œl " f k B T = 1 – Ð “ ¦& ñ ô  Ç .

 â

– Ð\    É r \  -t  > í ß –r  { 9  " é ¶ \ " f (∇h i ) 2 =

1

2 [(h i+1 − h i ) 2 + (h i−1 − h i ) 2 ] Ü ¼– Ð > í ß –ô  Ç . 2 " é ¶ \ " f



 H  ⠖ Ð\    É r \  -t  > í ß –r  (∇h i,j ) 2 = 1

2 [(h i+1,j − h i,j ) 2 + (h i−1,j − h i,j ) 2 +(h i,j+1 − h i,j ) 2 + (h i,j−1 − h i,j ) 2 ] (6)

–

Ð > í ß –ô  Ç .

{

Œ

™F K| 9  ) a B | 9 \ " f  7 H _ … º ú ˜– Ð ~ ½ ÓZ O \  _ ô  Ç  â > €  _ 

 â

– Ð\  ¦ 8 £ ¤& ñ % i  . “ : r • ¸ (T )ü < { Œ ™F K| 9  ) a ¸ ú š6 £ § _  # 3 0 A (∆) _  ¿ º > h_    à º ×  æ “ : r • ¸  H k B T = 1 Ü ¼– Ð “ ¦& ñ “ ¦, {

Œ

™F K| 9  ) a ¸ ú š6 £ § _    0 A\  ¦    or (   . d = 1 + 1\ " f_ 

³

ð€  “ É r / B G‚  Ü ¼– Ð Ò q ty Œ •½ + É Ã º e ”  . T = 0\ " f  H \  -t 

\

 ¦ þ j™ è o   H  ⠖ Ð\  ¦ ¹ 1 ÔÜ ¼€    ) a  . d = 2 + 1 " é ¶ \ " f _

  â > €  “ É r 2 " é ¶ / B G€  `  ¦ s À Ò>   ) a  .

III.  ¹ ō ˜ mS ó o Þ + s ÇÊ Ý

d = 1 + 1 \ " f ∆ = 0s “ ¦, > _  ß ¼l  L = 96, 192, 384, 768, 1536{ 9  M : ³ ð€  _   } 9 l  ‰ & ³ © œs  Fig.

1 õ  ° ú  s    z Œ ¤ . Fig. 1\ " f ∆ = 0 (7 £ ¤, T = ∞) \ " f



} 9 l  t à º α = 0.5\  ¦ % 3 % 3  . Õ ªo “ ¦ ∆ = 1{ 9  M : Ä »

´

òô  Ç  } 9 l  t à º (effective roughness exponent) α ef f \  ¦ 8

£ ¤& ñ % i  . s  M : 2α ef f = 0.998 s  9 ¢ ¸ô  Ç L = 1536\ 

Fig. 1. The log-log plot of W 2 (L, t) as a function of t with

∆ = 0 for L = 96, 192, 384, 768, and 1536 from bottom to top in d = 1 + 1. The guide line is for 2β ef f = 0.476.

2α ef f = 0.998 is shown in the inset.

"

f 8 £ ¤& ñ ô  Ç Ä »´ ò $ í  © œt à º  H 2β ef f = 0.476 s  . Õ ª    õ

 1 l x% i † < Æ t à º z ef f ' 2\  ¦ % 3 `  ¦ à º e ” % 3  . s  ° ú כ[ þ t

“

É r Edwards-Wilkinson (EW) [6] ˜ м # $ í ç  H \  K { © œ   H β = 1/4, α = 1/2, z = 2 ü <  _  Ä »   . s M : Ä »´ ò



} 9 l  t à º α ef f (∆)  H ∆ \    É r Ä »´ òô  Ç α\  ¦ 8 £ ¤& ñ ô  Ç  כ s

t  ß ¼l L\    É r α ef f (L) [5]`  ¦ 8 £ ¤& ñ t   H · ú §€ Œ ¤ .

s

\     Ä ºo   H { Œ ™F K| 9  ¸ ú š6 £ § s  y Œ •y Œ • ∆ = 3, 5, 7\ " f Ä

»´ òô  Ç  } 9 l  t à º\  ¦ ½ ¨K ˜ Ѐ Œ ¤ . Ä »´ ò  } 9 l  t à º  H α ef f = 0.60 ± 0.01(∆ = 3), α ef f = 0.62 ± 0.01(∆ = 5), α ef f = 0.63 ± 0.01(∆ = 7) s  . { Œ ™F K| 9  ¸ ú š6 £ § \     Ä »

´

òô  Ç  } 9 l  t à º      H  כ `  ¦ › ' a8 £ ¤ % i  . { Œ ™F K| 9  ¸ ú š 6

£

§ à ºu  7 £ x  €   ½ + Éà º2 Ÿ ¤ Ä »´ òô  Ç  } 9 l  t à º  H & ”  



. { Œ ™F K| 9  ¸ ú š6 £ § s  & | 9 à º2 Ÿ ¤  â > €  s  ¨ î + þ A& h \  • ¸² ú ˜  l

  8¹ ¡ ¤ # Q§ >    H  כ `  ¦ _ p ô  Ç . ¢ ¸ô  Ç >  ¨ î + þ A  © œ I

\  • ¸² ú ˜   H r ç ß –• ¸ & h & h  š ¸A     2 ; . Ø  æì  r ô  Ç ì ø Í4 Ÿ ¤ Ü ¼

–

Ð Ä ºo   H Ä »´ òô  Ç  } 9 l  t à º\  ¦ 8 £ ¤& ñ % i  .

>

_  ß ¼l \    É r ³ ð€    } 9 l _     o\  ¦  € ª œô  Ç ∆\ 

"

f 8 £ ¤& ñ ô  Ç Fig. 2\ " f { Œ ™F K| 9  ¸ ú š6 £ § s  7 £ x † < Ê\     l Ö  ¦ l

 & t   H  כ `  ¦ ^  ¦ à º e ”  . s  כ “ É r Ä »´ òô  Ç  } 9 l  t  Ã

º { Œ ™F K| 9  ) a ¸ ú š6 £ § \     7 £ x † < Ê`  ¦ ˜ Ð# Œï  r  . Õ ª Q 

∆    † < Ê\     ‚ à Р ) a  } 9 l  t à º    o  “ ¦  H Ò q t y

Œ

•÷ &t  · ú §  H  . é ß –t  > _  ß ¼l   Œ •“ ¦ ∆  Œ • " f Ä »´ ò ô

 Ç  } 9 l  t à º      H  כ % ƒ! 3  ˜ Г   . Õ ªa Ë >\ " f ˜ Ð# Œ Å

Ò1 p w s  { Œ ™F K| 9  ¸ ú š6 £ § s  & t €  " f ¨ î + þ A& h \  • ¸² ú ˜   H X <

´ ú

§“ É r r ç ß –s  € 9 כ ¹ Ù ¼– Ð 8 £ ¤& ñ 0 p x ô  Ç > _  ß ¼l \  ] jô  Ç

`

 ¦ ~ à ΍  H  . Õ ª QÙ ¼– Ð Ä ºo   H > _  ß ¼l  Lõ  ∆`  ¦ ß ¼>  

€

  ½ + Éà º2 Ÿ ¤ Ä »´ ò  } 9 l  t à º α ef f   H # Q‹ "  ‚ à Р ) a  } 9 l  t  Ã

º α– Ð ] X   H ½ + É  כ Ü ¼– Ð \ V © œ  ) a  . { Œ ™F K| 9  ¸ ú š6 £ § ∆ ü <  } 9 

(3)

Fig. 2. The log-log plot W sat 2 as a function of L for ∆ = 0, 1, 3, 5, and 7 from bottom to top in d = 1 + 1.

Fig. 3. The plot of α ef f as a function of ∆ in d = 1 + 1.

The y-axis intercept of the guideline is for α ' 0.66 as

∆ → ∞.

l

 t à º α_  › ' a > $ í `  ¦ ˜ Ðl  0 A # Œ α ef f ü < 1/∆_  › ' a > 

\

 ¦ Õ ª 9 ˜ Ѐ   { Œ ™F K| 9  ¸ ú š6 £ § s  & | 9 à º2 Ÿ ¤  } 9 l  t à º & 

”

    H  כ `  ¦ · ú ˜ à º e ”  .

Fig. 3“ É r d = 1 + 1 " é ¶ \ " f { Œ ™F K| 9  ¸ ú š6 £ § _   € ª œô  Ç ß ¼ l

 ∆ = 1, 3, 5, 7\    É r α ef f \  ¦ ˜ Ð# ŒÅ ғ ¦ e ”  . # Œl " f

∆  Á ºô  Ç@ /– Ð ° ú ˜ M :, Ä »´ òô  Ç  } 9 l  t à º α ≈ 0.66Ü ¼

–

Ð ] X   H % i  . s  כ “ É r Kardar-Parisi-Zhang(KPZ)d ” _  1/z

KP Z

° ú כs  { 9 u    H α = 2/3\  ¦ ˜ Ð% i  .

∆ = 0{ 9  M :  H EW ˜ м # $ í ç  H \  5 Å q >  ÷ &t ë ß – ∆ > 0s 

€

  d = 1 + 1 " é ¶ \ " f  H KPZd ” \  @ /ô  Ç y © œ  ½ + Ë · ¡ ­ ~ à Ìs 

&

h  (strong coupling fixed point)s  ” > r F  Ù ¼– Ð ∆  Œ • 

•

¸ > _  ß ¼l  & t €   α ef f  2/3– Ð ] X   H o   \ V © œ

 )

a  . d = 1 + 1 " é ¶ \ " f_   â > €  “ É r { Œ ™F K| 9  ) a ¸ ú š6 £ § \ " f _

 ~ ½ ӆ ¾ Ó$ í ×  æ ½ + Ë^ ‰– Ð Ò q ty Œ •½ + É Ã º e ”  . 7 £ ¤, ¸ ú š6 £ § η(x, t)  Z

 ~ # Œ e ” `  ¦ M : x = 0, t = 0\ " f Ø  ¦ µ 1 Ï # Œ xü < t t _  ~ ½ Ó

†

¾ Ó$ í _  ×  æ ½ + Ë^ ‰– Ð Ò q ty Œ •½ + É Ã º e ”  . s  M : ì  r C  † < Êà º (par- tition function) Z(x, t)  H  6 £ § õ  ° ú  s   ⠖ Ð& h ì  r (path integral) Ü ¼– Ð & ñ _ ½ + É Ã º e ”   [10–12].

Z(x, t) = Z

exp

"(

− 1 T

 dx dt

 2

+ η(x, t) )#

dt (7)



Ä » \  -t  (free energe)\  ¦ F (x, t) = −T ln Z(x, t) – Ð & ñ _

 €   F (x, t)  H

∂F (x, t)

∂t = ν∇ 2 F + λ

2 (∇F ) 2 + η(x, t) (8) _

 KPZ ~ ½ Ó& ñ d ” `  ¦   É r   [13]. ~ ½ ӆ ¾ Ó$ í ×  æ ½ + Ë^ ‰\ " f \ 



-t \  ¦ þ j™ è o   H  ⠖ Ð ∆x  H t 1/z

KP Z

\  ¦  Ø Ô  H X < d = 1 + 1 " é ¶ \ " f  H 1/z

KP Z

= 2/3   ) a  “ ¦ · ú ˜ 94 R e ”  .

KPZ \ " f  H ¸ ú š6 £ § s  ” > r F  €   T = 0_  · ¡ ­ ~ à Ìs & h  (fixed point) ë ß – ” > r F  Ù ¼– Ð # Q‹ "  “ : r • ¸\ " f• ¸ z

KP Z

= 3/2 s  .

(7 £ ¤  © œ„  s  ‰ & ³ © œs  \ O  .) Õ ª QÙ ¼– Ð d ”  (1)`  ¦  Ø Ô  H ³ ð

€

 “ É r # Q‹ "  “ : r • ¸\ " f• ¸  © œ„  s  ‰ & ³ © œs  \ O Ü ¼ 9 α = 2/3\  ¦



\  ¦  כ Ü ¼– Ð \ V © œ  ) a  . ∆  Œ •`  ¦ M :\   H α ef f  1/2\ 

"

f r  Œ • # Œ ∆ & f ” \     α & h & h  7 £ x ô  Ç . Ä º o

_    õ   H ∆  9 þ t M : α ef f  2/3Ü ¼– Ð ] X   H † < Ê`  ¦ % 3 % 3 



. d = 2 + 1 " é ¶ “   { Œ ™F K| 9  ) a ¸ ú š6 £ § \ " f_  ³ ð€   ë  H ] j  H Hopf-Cole   ¨ 8 Š s  ” > r F  t  · ú § " f ~ ½ ӆ ¾ Ó$ í _  ×  æ ½ + Ë^ ‰ ë  H ]

j– Ð   ¨ 8 Š ÷ &t  · ú §  H   [14]. Õ ª QÙ ¼– Ð d = 1 + 1ü <   Ø

Ô>  d = 2 + 1\ " f  H KPZ ü <  Á º   › ' aº  s  \ O >   ) a  .

1 " é ¶ _  l ó ø Í (substrate)\ " f_   â > ‚  “ É r h(x, t) – Ð   



  H  _  / B G‚  s  . s  ë  H ] j\  ¦ 3 " é ¶ ½ ¨› ¸– Ð S X ‰ @ / 

€

   â > €  “ É r h(x, y, t) _  2 " é ¶ / B G€  s   ) a  . Ä ºo   H # Œl 

"

f d = 2 + 1 " é ¶ _  K x 9 ž Ðm î ß –`  ¦ H =

Z

dr[ν(∇h) 2 + η(r, h)] (9)

–

Ð j þ t à º e ”  . l ‘ : r€  s  2 " é ¶ s “ ¦ { Œ ™F K| 9  ¸ ú š6 £ § s  η(r, h) = η(x, y, h) – Ð Å Ò# Q”    © œI \ " f_  ³ ð€  _    } 9

l \  ¦ ƒ  ½ ¨ % i  . d = 2 + 1 " é ¶ \ " f { Œ ™F K| 9  ¸ ú š6 £ §

∆ = 1, 3, 5, 7 _  y Œ •  â Ä º\       H ³ ð€  _   } 9 l  ‰ & ³ © œ

`

 ¦ › ¸  % i  . Fig. 4\ " f  H { Œ ™F K| 9  ¸ ú š6 £ § ∆ = 0{ 9  M : >  _

 ß ¼l  L = 48, 96, 192\ " f  â > €  _   } 9 l \  ¦ 8 £ ¤& ñ 

%

i  8m  W 2 ∼ ln L _  › ' a > \  ¦ % 3 % 3  . ∆ = 0s €   s  ³ ð€  

“

É r α = 0`  ¦ ° ú “ ¦, EW ˜ м # $ í ç  H \  5 Å q >   ) a  . ∆ = 1“  

 â

Ä º\  α ef f = 0.38 ± 0.01`  ¦ % 3 % 3 “ ¦ ∆ = 3, 5, 7{ 9  M :\ 

•

¸ d = 1 + 1 " é ¶ õ   Ø Ô>  α ef f   _     t  · ú §  H  .

Fig. 5  H ∆ \    É r  } 9 l  t à º α ef f = 0.41 ± 0.01

(∆ = 3), α ef f = 0.41 ± 0.01 (∆ = 5), α ef f = 0.41 ± 0.01

(∆ = 7)e ” `  ¦ 8 £ ¤& ñ % i  . s  M : y Œ •y Œ • > _  ß ¼l   H L =

(4)

Fig. 4. The semilog plot of W 2 (L, t) as a function of t in d = 2 + 1 showing W sat 2 ∼ log t (inset).

Fig. 5. The log-log plot of W sat 2 as a function of L for

∆ = 1, 3, 5, and 7 from bottom to top in d = 2 + 1.

8, 12, 24, 48 s  . { Œ ™F K| 9  ) a ¸ ú š6 £ § _  ß ¼l ü <  } 9 l  t à º

Á

º › ' a    H  כ `  ¦ ^  ¦ à º e ” % 3  . d = 2 + 1 " é ¶ \ " f_  ፠ H

· ú

˜ 94 R e ” t  · ú § . ∆ 1˜ Ð   H % ò % i \ " f  H ∆ \  › ' a > 

\ O

s  α ≈ 0.41\  ¦ % 3 % 3  . ¢ ¸ô  Ç L = 192\ " f 8 £ ¤& ñ ô  Ç Ä »´ ò

$ í

 © œt à º  H 2β ef f = 0.175 ± 0.001 (∆ = 1) s  . Õ ª    õ

 1 l x% i † < Æ t à º z ef f ' 2.2(∆ = 1)\  ¦ % 3 `  ¦ à º e ” % 3  . ¢ ¸ ô

 Ç β ef f   H ∆ \          H ‰ & ³ © œ`  ¦ % 3 % 3  . d = 1 + 1ü <

d = 2 + 1 _   } 9 l  t à º° ú כ[ þ t“ É r Table 1 \  ³ ðr ÷ &# Qe ”  .

IV. + s Ç Â ] Ø

Ä

ºo   H { Œ ™F K| 9  ) a B | 9 \ " f_   â > €    } 9 l \  ¦ ƒ  ½ ¨ 

%

i  . ³ ð€    } 9 l  W (t, L)\  ¦ { Œ ™F K| 9  ¸ ú š6 £ § ∆ _  [ jl \   

Table 1. The effective roughness exponents α ef f against

∆ in d = 1 + 1 and d = 2 + 1.

α

ef f

∆ d = 1 + 1 d = 2 + 1

0 0.50 ± 0.01 0

1 0.50 ± 0.02 0.38 ± 0.01

3 0.60 ± 0.01 0.41 ± 0.01

5 0.62 ± 0.01 0.41 ± 0.01

7 0.63 ± 0.01 0.41 ± 0.01



 ì  r$ 3  % i  . W (t, L)_  8 £ ¤& ñ u – РÒ'  ¸ ú š6 £ § ∆ \     Ä

»´ ò  } 9 l  t à º α ef f \  ¦ 8 £ ¤& ñ % i  . d = 1+1\ " f_   â

>

‚  “ É r ~ ½ ӆ ¾ Ó$ í _  ×  æ ½ + Ë^ ‰– Ð ƒ  › ' a ÷ &# Q”   . ∆ Á ºô  Ç@ /– Ð

° ú

˜ M : Ä »´ òô  Ç  } 9 l  t à º α ≈ 0.66Ü ¼– Ð ] X   H % i  .

s

 כ “ É r KPZ   õ ü < { 9 u    H α = 2/3\  ¦ ˜ Ð% i  . ¢ ¸ô  Ç d = 2 + 1 " é ¶ \ " f  â > €  _   } 9 l \  ¦ ∆ \     8 £ ¤& ñ 

%

i  . { Œ ™F K| 9  ¸ ú š6 £ § ∆ = 0{ 9  M :  } 9 l  W 2 ∼ ln Le ” `  ¦ ^  ¦ Ã

º e ” % 3  . { Œ ™F K| 9  ¸ ú š6 £ § _  ß ¼l  & h { © œy  ß ¼€    } 9 l  t  Ã

º  _     o t  · ú §  H  כ `  ¦ ^  ¦ à º e ” % 3  . d = 2 + 1\ 

"

f  } 9 l  t à º  H α ' 0.41 ± 0.01\  ¦ % 3 % 3  .

P

c p 8 ý ò k >

s

  7 Hë  H“ É r Õ ü æz  ´@ /† < Ɠ § “ §? /ƒ  ½ ¨q  t " é ¶ \  _  # Œ ƒ  

½

¨÷ &% 3 _ þ v m  .

Y

c p w Š à U Ø ”  ô

[1] A.-L. Barab´ asi and H. E. Stanley, Fractal Concepts in Surface Growth (Cambridge University Press, Cambridge, 1995).

[2] F. Family and T. Vicsek, Dynamics of Fractal Sur- faces (World Scientific, Singapore, 1991).

[3] J. Kert´ esz, T. K. Horv´ ath and F. Weber, Fractals 1, 67 (1992).

[4] J. Zhang, Y.-C. Zhang, P. Alstrφm, and M. T.

Levinsen, Physica A 189, 383 (1992).

[5] H.-C.Jeong, C. Lee and J. M. Kim, Phys. Rev. E 68, 053602 (2003).

[6] S. F. Edwards and D. R. Wilkinson, Proc. R. Soc.

Lond. A 17, 381 (1982).

[7] J. G. Amar, P.-M. Lam and F. Family, Phys. Rev.

A 43, 4548 (1991).

(5)

[8] C.-K. Peng, S. Havlin, M. Schwartz and H. E. Stan- ley, Phys. Rev. A 44, R2239 (1991).

[9] P. M. Lam and F. Family, Phys. Rev. A 44, 4854 (1991).

[10] J. M. Kim, M. A. Moore and A. J. Bray, Phys. Rev.

A 44 2345 (1991).

[11] C. Lee and J. M. Kim, Physica A 316, 144 (2002).

[12] J. M. Kim, J. Korean Phys. soc. 45, 413 (2004).

[13] M. Kardar, G. Parisi and Y.-C. Zhang, Phys. Rev.

Lett. 56, 889 (1986).

[14] E. Hopf, Commun. Pure Appl. Math. 3, 201 (1950);

J. D. Cole, Q. Appl. Math. 9, 225 (1951).

Surface Roughness In Quenched Random Potentials

Soo Kyung Kim and Jin Min Kim

Department of Physics and Computer-aided Molecular Design Center, Soongsil University, Seoul 156-743 (Received 12 December 2007)

We investigate the interface roughening in quenched random media. The interface width W , standard deviation of heights, is proportional to L

α

in the steady state, where L is the system size. For d = 1 + 1, we measure the effective roughness exponent α

ef f

as a function of ∆, which is the strength of the randomness. α

ef f

approaches 0.66 when ∆ → ∞. For d = 2 + 1, we obtain α ' 0.41 ± 0.01, independent of ∆.

PACS numbers: 05.40.-a, 68.35.Ct

Keywords: Surface roughness, Quenched random potential, Directed polymer, Scaling phenomena

E-mail: [email protected]

수치

Fig. 1. The log-log plot of W 2 (L, t) as a function of t with
Fig. 2. The log-log plot W sat 2 as a function of L for ∆ = 0, 1, 3, 5, and 7 from bottom to top in d = 1 + 1.
Fig. 4. The semilog plot of W 2 (L, t) as a function of t in d = 2 + 1 showing W sat2 ∼ log t (inset).

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