p.2/76

Size: px
Start display at page:

Download "p.2/76"

Transcription

1 p.1/76

2 p.2/76

3 ( ) (2001). (2006). (2002). p.3/76

4 N n, n {1, 2,...N} 0 K k, k {1, 2,...,K} M M, m {1, 2,...,M} p.4/76

5 R =(r ij ), r ij = i j ( ): k s r(k, s) r(k, 1),r(k, 2),...,r(k, S(k)) 0:5 0:5 p.5/76

6 N =3,K =3,M = : F1(x) =1 e μ 1 x ( ) 2 : F2(x) =1 e μ 2 x ( ) 3 : F3(x) =1 e 2μ 3 x (1 + 2μ3x) ( ) p.6/76

7 p.7/76

8 P (c, y) = P (c)p (y c) P (c) = CΛ(m)Φ(u) N j=1 τ j (c j ) τ j (c j ) = θ j(m jl,k jl ) µ kl c N P (y c) = µ jl (1 F kjl (y jl )) j=1 c =(c 1, c 2,...,c N ): y =(y 1, y 1,...,y 1 ): l p.8/76

9 1 0 0 P (c y)dy =1 P (c) = CΛ(m)Φ(u) τ j (c j ) = θ j(m jl,k jl ) µ kl N j=1 τ j (c j ) m = ( m m (c) ) M : m m=1 m(c) c m u = ( ((ujmk (c)) K k=1 ) M m=1) N m, k j=1 : u jmk (c) c j p.9/76

10 2 C : µ jl : j l k jl : j l θ j (m jl,k jl ): j Λ(m): λ m (m) = Λ(m + e m) Λ(m) Φ(u): γ j (l, c) = Φ(u e j(m jl,k jl )) Φ(u) β j (l, c) p.10/76

11 : µ k (insensitive ) θ j (m, k) m u (c) (y) p.11/76

12 Λ(m) Φ(u) p.12/76

13 M/G p.13/76

14 M/G Poisson K k S k F k (x) =P (S k x), f k (x) E(S k )= 1 : k µ k p.14/76

15 (n ) n y1 y2 y3 yn c2 c3 cn c1 : (c; y) =(c1; c2; :::;cn) ; y =(y1; y2; :::;yn) c c l : l, c l {1, 2,...,K} y l : l, 0 <y l c =(c 1,c 2,...,c n ), y =(y 1,y 2...,y n ) (c, y): c c p.15/76

16 c λ k (c): k, k =1, 2,...,K γ(l, c) = d dt y l: c l dt γ(l, c)dt y l + dy l = y l γ(l, c) p.16/76

17 cn k c ffi(`; c) c1 c` 1 c` c`+1 cn c1 c` 1 k c` cn 1 δ(l, c): l ( ) n+1 l=1 δ(l, c) =1 p.17/76

18 (global barance equation) = c { λcl (c [l] ) δ(l, c [l] ) f c l (y l ) P (c [l], y [l] )+ P (c, y)γ(l, c) } y l l=1 K { λk (c)p (c, y) k=1 c +1 l=1 γ(l, c + [l(k)] )P ( c + [l(k)], y+ [l(0)] )} p.18/76

19 P (c, y) = P (c)p (y c) P (c) = CΛ(w)Φ(w)τ(c) τ(c) = P (y c) = c l=1 c l=1 1 µ cl µ cl ( 1 Fcl (y l ) ) w =(w 1,w 2,...,w K ), w k : c k p.19/76

20 Λ(w) (w ) λ k (w) = Λ(w + e k) Λ(w) Φ(w) (w ) γ(l, c) = Φ(w e(c l)) Φ(w) β(l, c) β(l, c): c l c β(l, c) =1 l=1 p.20/76

21 c δ(l, c [l])=β(l, c) l =1, 2,..., c c [l] =(c 1,c 2,...,c l 1,c l+1,...,c c ) c l=1 Φ(w e(c l )) Φ(w) µ cl { δ(l, c [l] ) β(l, c)} =0 p.21/76

22 (symmetric queue) δ(l, c [l])=β(l, c) l c c l β(l, c) =δ(l, c [l] )= 1 c LCFS-PR : β(1, c) =δ(1, c [l])=1, 0 p.22/76

23 δ(l, c [l]) β(l, c) (K) c l=1 Φ(w e(c l )) Φ(w) µ cl { δ(l, c [l] ) β(l, c)} =0 FCFS: µ 1 = µ 2 = = µ K δ(l, c) = { 1 l = c +1 0, β(l, c) = { 1, l =1 0, p.23/76

24 Λ(w) k : λ k (w) = Λ(w + e k) Λ(w) Λ(w) =λ w 1 1 λw λw K K S Λ(w) = { λ c, c S 1 0, S c λ k(w) =λ k λ k (w) = { λ, c S 0, S < c p.24/76

25 Φ(w) c l γ(l, c) = Φ(w e(c l)) Φ(w) β(l, c) Φ(w) =Φ( w )(= Φ( c )) Φ(n) = { n ν( c ) = Φ( c 1) Φ( c ) s=1, c =1, 2,... ν(s) } 1, n =1, 2,..., Φ(0) = 1 p.25/76

26 w z c1 c2 c` c n ffl $ ν(n) β(l, c) ν(n) fi(1;c) fi(n;c) fi(2;c) fi(`;c) ν(n) Φ(n) Φ(w) p.26/76

27 p.27/76

28 = c l=1 { λcl (c [l] ) δ(l, c [l] ) f c l (y l ) P (c [l], y [l] )+ y l P (c, y)γ(l, c) } K { λk (c)p (c, y) k=1 c +1 l=1 γ(l, c + [l(k)] )P ( c + [l(k)], y+ [l(0)] )} =0, =0 p.28/76

29 ( ) (1) c l=1 {λ cl (c [l] ) δ(l, c [l] ) f c l (y l ) P (c [l], y [l] )+ y l P (c, y)γ(l, c)} =0 k =1, 2,...,K (2) λ k (c)p (c, y) c +1 l=1 γ(l, c + [l(k)] )P ( c + [l(k)], y+ [l(0)]) =0 (local balance equation) p.29/76

30 (2) (1) (3) c l=1 Φ(w e(c l )) Φ(w) f cl (y l ) { δ(l, c 1 F cl (y l ) [l] ) β(l, c)} =0 (3) (3) p.30/76

31 (3) c (4) δ(l, c [l]) β(l, c) =0, l =1, 2,..., c (4) p.31/76

32 δ(l, c [l] ) β(l, c) (3) 0 <y l f cl (y l ) 1 F cl (y l ) = (3) c l=1 Φ(w e(c l )) Φ(w) µ cl { δ(l, c [l] ) β(l, c)} =0 p.32/76

33 S:, q(x, x ): (x x ), π(x): x π(x) x S q(x, x )= x S π(x )q(x, x), x S S = S 1 S 2 S n S i π(x) q(x, x )= x S i π(x )q(x, x), x S i x S i p.33/76

34 X(t) X( t) X(t) X( t) ( ) X(t) π(x)q(x, x )=π(x )q(x, x), x, x S (detailed balance equation) M/M/1 p.34/76

35 M M x(t): K t (quasi-reversible) x(t 0 ) t 0 k x(t 0 ) t 0 k M M M M Poisson Poisson M M p.35/76

36 ) p.36/76

37 p.37/76

38 c j =(c j1 ; c j2 ;:::;c jn ) c j` =(mj`;kj`) j : (c j ; y j ) 1 2 n c j` yj1 yj2 yjn (mj1;kj1) (mj2;kj2) (mjn;kjn) (mj`;kj`) =( `, ` ) c =(c 1, c 2,...,c N ) y =(y 1, y 2,...,y N ) (c, y) p.38/76

39 P (c, y) = P (c)p (y c) P (c) = CΛ(m)Φ(u) τ j (c j ) = c j l=1 N j=1 σ j (m jl,k jl ) σ j (m jl,k jl ) = θ j(m jl,k jl ) µ kjl τ j (c j ) P (y c) = N c j j=1 l=1 µ kjl ( 1 Fkjl (y jl ) ). p.39/76

40 (1) m jl : j, l k jl : j, l θ j (m jl,k jl ): (m jl,k jl ) m θ m =(θ m1, θ m2,...,θ mn ) θ mi = ( θ i (m, 1),θ i (m, 2),...,θ i (m, K) ), i =1, 2,...,N θ i (m, k): i m, k p.40/76

41 (2) r m ( (i, k), (j, h) ) : i k m j h m R(m) = R m (1, 1) R m (1, 2)... R m (1,N) R m (2, 1) R m (2, 2)... R m (2,N) f... R m (N,1) R m (N,2)... R m (N,N) m θ m = θ m R(m) 0 (1, θ m )=(1, θ m )R(m) p.41/76

42 j (m; h) from node i (3) rm(0; (j; h)) 1 out of the network i(m; k) j i i(m; k) i(m; k) rm((i; k); (j; h)) N p.42/76

43 m m λ m (m) = Λ(m + e(m)) Λ(m) Λ(m) =Λ 1 (m 1 )Λ 2 (m 2 )...Λ M (m M ) u jmk : j m, k x jm : j m u = ( ((ujmk ) K k=1 ) M m=1) N j=1, x = ( (x jm ) M m=1 ) N j=1 Φ(u) =Φ 1 (u 1 )Φ 2 (u 2 ) Φ N (u N ) u Φ(x) =Φ 1 (x 1 )Φ 2 (x 2 ) Φ N (x N ) x p.43/76

44 (c, y) x =(x 1, x 2,...,x N ), x j =(x j1,x j2,...,x jm ) x jm : j m M p.44/76

45 x =(x 1,x 2,...,x n ), ρ =(ρ 1,ρ 2,...,ρ n ) x = n, x = x 1 + x x n x! =x 1!x 2! x n! ρ x = ρ x 1 1 ρx 2 2 ρx n n (a 1 + a a n ) m = x 1 +x 2 + +x n =m m! x 1!x 2! x n! ax 1 1 ax 2 2 ax n n a m = x =m x! a x x! p.45/76

46 (1) x =(x 1, x 2,...,x N ) x j =(x j1,x j2,...,x jm ), j =1, 2,...,N x jm : j m K =(K 1,K 2,...,K M ), K m : m ( ) Φ(x) =Φ 1 ( x 1 )Φ 2 ( x 2 ) Φ N ( x N ) j n ν j (n) = Φ j(n 1) Φ j (n) Φ j (n) = 1 ν j (1)ν j (2) ν j (n), Φ j(0) = 1 p.46/76

47 (2) ν j (n) =ν j (1), n =1, 2,... ν j (n) =nν j (1), n =1, 2,... (S j ): ν j (n) = : ρ =(ρ 1, ρ 2,...,ρ N ) { nν j (1), n S j S j ν j (1), S j <n ρ j =(ρ j1,ρ j2,...,ρ jm ), j =1, 2,...,N K ρ jm = σ j (m, k), σ j (m, k) = θ j(m, k) µ k k=1 p.47/76

48 (3) ( ) P (x) = 1 G(K) N Φ j (x j )ϕ j (x j ), j=1 ϕ j (x j )= x j! ρ x j j x j! G(K): G(K) = x 1 +x 2 + +x N =K N j=1 Φ j (x j )ϕ j (x j ) G(K) x P (x) =1 N =10, M =3, K =(5, 5, 5) 80 p.48/76

49 ( ) P (x) = 1 G(K) N j=1 q j (x j ) q j (x j ) = Φ j ( x j ) x j! x j! G(K): ρ x j j λxo j = Φ j ( x c j + x o j ) ( xc j + xo j )! x c j! xo j! (ρ c j) xc j (ρ o j ) xo o j λ xj p.49/76

50 (convolution). MVA(Mean Value Analysis): p.50/76

51 G(K) (over flow/under flow) p.51/76

52 x =(x 1,x 2,,x n ): a(x) b(x) : x c(x) =(a b)(x): a, b c(x) = (a b)(x) = a(x i) b(i) = 0 i x x 1 i 1 =0 x 2 i 2 =0 x n i n =0 a(x 1 i 1,x 2 i 2,,x n i n ) b(i 1,i 2,,i n ) (a b)(x) =(b a)(x), ((a b) c)(x) =(a (b c))(x) (a 1 a 2 a n )(x): a 1,a 2,...,a n p.52/76

53 M K P (x) = 1 G(K) N j=1 q j (x j ), q j (x j )=Φ j ( x j ) x j! x j! ρ x j j G(K) = x 1 +x 2 + +x N =K N j=1 q j (x j ) G(K) =(q 1 q 2 q N )(K) p.53/76

54 i- i : i 0 i x [i] =(x 1,...,x i 1, x i+1...,x N ) : i- i- P (x [i] )= 1 G [i] (K) N q j (x j ), j=1 j i q j (x j )=Φ j ( x j ) x j! x j! ρ x j j G(K) = x 1 + x i 1 +x i+1 + +x N =K N q j (x j ) j=1 j i (i 1,i 2,...,i m )- p.54/76

55 x 1 : G(K) = q 1 (x 1 ) N q j (x j ) 0 x 1 K x 2 + +x N =K x 1 j=2 N G [1] (K x 1 )= q j (x j ) x 2 + +x N =K x 1 j=2 1- q 1 G(K) = q 1 (x 1 )G [1] (K x 1 )=(q 1 G [1] )(K) 0 x 1 K G(K) =(q 1 q 2 G [1,2] )(K) = =(q 1 q 2 q N )(K) p.55/76

56 A A1: : 0 x K x =(x 1,x 2,...,x M ) G(x) { 1 x = 0 0 x 0 A2: j =1, 2,,N A3, A4, A5 A3: q j (x j ) : 0 x K x q(x) Φ j ( x ) x! x! A4: : k = K,, 1, 0 A5 A5: x = k, 0 x K x G(x) 0 y x ρ x j G(y)q(x y). p.56/76

57 A G(x) =G [j] (x)+ M m=1 ρ jm G(x e(m)) S A3,A4,A5 S S1: k =1, 2,, K S2 S2: x = k, 0 x K x G(x) G(x)+ M m=1 ρ jm G(x e(m)). p.57/76

58 K 2 h j1 h j2 K 1 G(x) ψ G [j](x) +h j1 G(x e(1)) + h j2 G(x e(2)) :G [j](x) :G(x) p.58/76

59 j G [j] (x),0 x K j G [j] (x) G(x) G(x) G [j] (x) p.59/76

60 p.60/76

61 I/O ( ) ( ) ( ) p.61/76

62 M OU %27 &-ÎÐÑÑ OU &$ÎÐÑÑ.QIÔÎÏÖ Ç}Ì OU 4GCF 4GCF 9TKVG OU OU OU OU 9TKVG (CPU,DB,Log)=(30,90,15)=ρ p.62/76

63 ÐÖÏÎ Ò Ò Ñ f ÐÖÏÎ Ò Ð Ó %27 &- &- ÐÖÏÎ Ò Ò Ñs f ÐÖÏÎ Ò ÐÏÐÖÑÏÕ CPU 15 #2 &- &-... I/O s Ð Ó v Clients Server System p.63/76

64 I/O p.64/76

65 1987/2/ /7/18. C/S 1994/8/ C/S 19996/9/16. p.65/76

66 SE IT p.66/76

67 ( ) SE p.67/76

68 70 ÒÖ ÐÐÑÕ Ñ ÐÖÔÖÔÎÏÖ ÐÖÏÎ ÒÐ ÓÕÒÖ 15 #2 &- &- %27 &- &- %27 &- &- ENKGPVU UGTXGT p.68/76

69 QM-X) p.69/76

70 PC, WS p.70/76

71 Tiny Topaz QM-Open ªªª ªªª ªªª ªªª h h h h ªªª ªªª ªªª ªªª ªªªª ªªªª ªªªª ªªªª ªªª ª ªªª ª ªªª ª ªªª ª hv hv hv hv ªªªª ªªªª ªªªª ªªªª ª ªªªªªª ªªªª ªªªªªª ªªªªªªªªª ªªªªªªªª ªªªªªªªª ªªªªªªªª ªªª ª ªªª ª ªªª ª ªªª ª ªªªªª ªªªª ªªªª ªªªª Ð Ó u u u u ««ªªª ªªª ªªªª vƒ 5QHVYCTG 5QHVYCTG 5QHVYCTG 5QHVYCTG RTQDG RTQDG RTQDG RTQDG p.71/76

72 Tiny Topaz ªªª EWS «ªªªªªª «TinyTOPAZ «All in one «Dynamic Hook Opal p.72/76

73 Tiny Topaz p.73/76

74 ρ ρ ρ ªªªª world s world ρ s u s p.74/76

75 NEC) p.75/76

76 I thank you for your attention. p.76/76

20 9 19 1 3 11 1 3 111 3 112 1 4 12 6 121 6 122 7 13 7 131 8 132 10 133 10 134 12 14 13 141 13 142 13 143 15 144 16 145 17 15 19 151 1 19 152 20 2 21 21 21 211 21 212 1 23 213 1 23 214 25 215 31 22 33

More information

meiji_resume_1.PDF

meiji_resume_1.PDF β β β (q 1,q,..., q n ; p 1, p,..., p n ) H(q 1,q,..., q n ; p 1, p,..., p n ) Hψ = εψ ε k = k +1/ ε k = k(k 1) (x, y, z; p x, p y, p z ) (r; p r ), (θ; p θ ), (ϕ; p ϕ ) ε k = 1/ k p i dq i E total = E

More information

< F31332D8B638E FDA8DD E F1292E6A>

< F31332D8B638E FDA8DD E F1292E6A> v u x u ~ ÔÒÖ Ê f     u    Âl  d    ~{  d  y y x y v u f Ë s y v u y v u u Ë~ u y Ê v ÊÉÆÉ y v Ë v y ÿus y Ê Ê~ ÊÉÆÉ y v ~{ fy v Ê ÈÍ u ~ Ê v u ~ ÊÆÍÌÍÃÈÊ vyãê Í v u ~ Ê v u ~ ÊÆÍÌÍÃÈÊ vyãê

More information

fm

fm ÁÔÖÐÖÕ Ð +1 f ª ª ª ª ««««ªªª f ª ªª ª ªª ª ªª ª f ªªª ªª ª ªªª f ªª ª f f ªª ª ª ª ~ &'(556#46 &'(5#761 &'(5/#0 &'(5/#0 &'(5%;%.' &'(5/+)+ &'(5*+&#4+ &'(12+0 &'(1*#0&&90 &'(1*#0&/#' &'(12+072 &'(1#+4

More information

4. ϵ(ν, T ) = c 4 u(ν, T ) ϵ(ν, T ) T ν π4 Planck dx = 0 e x 1 15 U(T ) x 3 U(T ) = σt 4 Stefan-Boltzmann σ 2π5 k 4 15c 2 h 3 = W m 2 K 4 5.

4. ϵ(ν, T ) = c 4 u(ν, T ) ϵ(ν, T ) T ν π4 Planck dx = 0 e x 1 15 U(T ) x 3 U(T ) = σt 4 Stefan-Boltzmann σ 2π5 k 4 15c 2 h 3 = W m 2 K 4 5. A 1. Boltzmann Planck u(ν, T )dν = 8πh ν 3 c 3 kt 1 dν h 6.63 10 34 J s Planck k 1.38 10 23 J K 1 Boltzmann u(ν, T ) T ν e hν c = 3 10 8 m s 1 2. Planck λ = c/ν Rayleigh-Jeans u(ν, T )dν = 8πν2 kt dν c

More information

v v = v 1 v 2 v 3 (1) R = (R ij ) (2) R (R 1 ) ij = R ji (3) 3 R ij R ik = δ jk (4) i=1 δ ij Kronecker δ ij = { 1 (i = j) 0 (i

v v = v 1 v 2 v 3 (1) R = (R ij ) (2) R (R 1 ) ij = R ji (3) 3 R ij R ik = δ jk (4) i=1 δ ij Kronecker δ ij = { 1 (i = j) 0 (i 1. 1 1.1 1.1.1 1.1.1.1 v v = v 1 v 2 v 3 (1) R = (R ij ) (2) R (R 1 ) ij = R ji (3) R ij R ik = δ jk (4) δ ij Kronecker δ ij = { 1 (i = j) 0 (i j) (5) 1 1.1. v1.1 2011/04/10 1. 1 2 v i = R ij v j (6) [

More information

20 6 4 1 4 1.1 1.................................... 4 1.1.1.................................... 4 1.1.2 1................................ 5 1.2................................... 7 1.2.1....................................

More information

IA hara@math.kyushu-u.ac.jp Last updated: January,......................................................................................................................................................................................

More information

TOP URL 1

TOP URL   1 TOP URL http://amonphys.web.fc.com/ 3.............................. 3.............................. 4.3 4................... 5.4........................ 6.5........................ 8.6...........................7

More information

ax 2 + bx + c = n 8 (n ) a n x n + a n 1 x n a 1 x + a 0 = 0 ( a n, a n 1,, a 1, a 0 a n 0) n n ( ) ( ) ax 3 + bx 2 + cx + d = 0 4

ax 2 + bx + c = n 8 (n ) a n x n + a n 1 x n a 1 x + a 0 = 0 ( a n, a n 1,, a 1, a 0 a n 0) n n ( ) ( ) ax 3 + bx 2 + cx + d = 0 4 20 20.0 ( ) 8 y = ax 2 + bx + c 443 ax 2 + bx + c = 0 20.1 20.1.1 n 8 (n ) a n x n + a n 1 x n 1 + + a 1 x + a 0 = 0 ( a n, a n 1,, a 1, a 0 a n 0) n n ( ) ( ) ax 3 + bx 2 + cx + d = 0 444 ( a, b, c, d

More information

fm

fm ÁÓ ÒÏÏÎ u ªª ª ª ª ª ª ª ª ª ª ªªª h ª ªª ª ªª ªªª ªª ª h ªª ª ª ª ªªªª ª ª ª ªª ªª ªª ª ªª ªª ª ª ª ª ª ª ª ª ª w d ª ªªª ª ª ª «ª ª««sˆ t ª ª«««~ s~ ª ªª ª ª ª ª ªªªªªªªª s s~ ªªªªª ªª ªªª ª ª ªª ª ª

More information

<4D F736F F D208B7B8DE890BC5F90E096BE8E9197BF5F2D F4390B32E646F63>

<4D F736F F D208B7B8DE890BC5F90E096BE8E9197BF5F2D F4390B32E646F63> 一般国道 10 号 宮崎西バイパス ÿj~ uóïóñêu ÊËu ÎÌÇÍÊ Ê eêu Êv wêæí ÊvÊu vêu uvêèív ~{ 1 ÿj~uóïóñêu ÿj~êu ÿj~êâîzéè Î ÈÂ ÊiÍ MOÊud~{ÉÆÍÂÊÎ dèí{dêâêuëuî~èíuê{ déæíâêââîèíîééæíâ ÿj~uóïóñêu u uóïóñêâuê~êuîíâ~ê ÉÎÈÍÇÉÎÊsÉÉÌÊÉÆÍÂ

More information

X G P G (X) G BG [X, BG] S 2 2 2 S 2 2 S 2 = { (x 1, x 2, x 3 ) R 3 x 2 1 + x 2 2 + x 2 3 = 1 } R 3 S 2 S 2 v x S 2 x x v(x) T x S 2 T x S 2 S 2 x T x S 2 = { ξ R 3 x ξ } R 3 T x S 2 S 2 x x T x S 2

More information

微分積分 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. このサンプルページの内容は, 初版 1 刷発行時のものです.

微分積分 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます.   このサンプルページの内容は, 初版 1 刷発行時のものです. 微分積分 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. ttp://www.morikita.co.jp/books/mid/00571 このサンプルページの内容は, 初版 1 刷発行時のものです. i ii 014 10 iii [note] 1 3 iv 4 5 3 6 4 x 0 sin x x 1 5 6 z = f(x, y) 1 y = f(x)

More information

ÊÈÌÊ fêôöôï Ö É É ~ Œ ~ Œ ÈÍÉÆÍ s Ê É Â Ê ÉÉÆÍÇÉ Ê Ê É Ê ÈÍv ÈÍ É ÈÍ Â ÇÍ vèé Ê Ê É ÈÉËÈÆ ÊÌÉ Ê~Æ Ê Ê ÈÍfÆ Ê ÊÉÆÉÊ Ê Ê ÈÍ Ê ÈÉËÈÆ

ÊÈÌÊ fêôöôï Ö É É ~ Œ ~ Œ ÈÍÉÆÍ s Ê É Â Ê ÉÉÆÍÇÉ Ê Ê É Ê ÈÍv ÈÍ É ÈÍ Â ÇÍ vèé Ê Ê É ÈÉËÈÆ ÊÌÉ Ê~Æ Ê Ê ÈÍfÆ Ê ÊÉÆÉÊ Ê Ê ÈÍ Ê ÈÉËÈÆ Ê È Ì Ê 12 ~ (4 Â9 )ÊÍÍ ÿj fd 5.837 Ê Â Ð ÓÑ (TCSA) Ê fç 2.924 É Ê ÎzÆÉÆÌÈ Âÿj Ê sê 9  sê 5 Î ÉyÉÉÆÍÉÆÍÍÉÆÌÈ 13 Ê TCSA ÉsÊÉÉ w ÊÍÍÉ 53 Ê ƒ Êd ÊÂ11.700 ÉÊÉÉÆÌÈ ÆÌÌ s ÊÉÉÉ ÇÈÇÉÊÉÇÊÆ Ê ÉÈÇ ÉÆÆg É ÈÊÌÊÊÉÆÉÊÿj

More information

医系の統計入門第 2 版 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. このサンプルページの内容は, 第 2 版 1 刷発行時のものです.

医系の統計入門第 2 版 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます.   このサンプルページの内容は, 第 2 版 1 刷発行時のものです. 医系の統計入門第 2 版 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. http://www.morikita.co.jp/books/mid/009192 このサンプルページの内容は, 第 2 版 1 刷発行時のものです. i 2 t 1. 2. 3 2 3. 6 4. 7 5. n 2 ν 6. 2 7. 2003 ii 2 2013 10 iii 1987

More information

all.dvi

all.dvi 72 9 Hooke,,,. Hooke. 9.1 Hooke 1 Hooke. 1, 1 Hooke. σ, ε, Young. σ ε (9.1), Young. τ γ G τ Gγ (9.2) X 1, X 2. Poisson, Poisson ν. ν ε 22 (9.) ε 11 F F X 2 X 1 9.1: Poisson 9.1. Hooke 7 Young Poisson G

More information

„¤‰ƒ‰IŠv‚æ‡S−ª†{“Å‘IB5-97

„¤‰ƒ‰IŠv‚æ‡S−ª†{“Å‘IB5-97 Ê f Î~ÈÉ ÇÊ Êg Ê ÉÇÍÎ Ê g w } o k ÊÈÌÊ Ê ÉÇÍ v É {ÊÈÍ ÊfÆÎ ÇÈÉÇ f h ËÊzÇÇÍ ŒÎ ÍÊÆ xê f Ê fëê Ê ÈÍ Ê ÔÖ ÒÉ Ê ÆÉ Æ ÊƒÆ f vè ÆÊw Ê Ê ÍÍ Æ f ÆÍÍÊ ÊÈÌÊ ÉÊ ÇÍ ÌÉÃvÌÉ ÊÈ ÃÎÒ ÔÊ Çs ÍÍÉÆÍ ÇsÍÍÉÆÉÂ Ì É Ê ÎsÉÉÂ

More information

Microsoft Word - ’ìfià„GflV‘é“ÄŁ]›¿0909.doc

Microsoft Word - ’ìfià„GflV‘é“ÄŁ]›¿0909.doc 一般国道 3 号 ( 南九州西回り自動車道 ) 川内隈之城道路 ~{Êu ÊËu ÎÍÊ Êy y Ê~ Ê~Êu}Ì ÐÑÒdÌÊh y ~{ 1 ~{Êu uíi ~Êu uíi ~ÊÂÃd v x ÃÉ ÊÇÊÎÈÍÉÌÊuÉÈÍÉÂÉ MO Êu d~{êÿéèévèíé~{éæíâuêêâ~ ÊÊÇÇÈÍÌÊÉÆÍÂ ~{ÊÂÎzÉÈÉÂ ÊÊÎÈÉ ÊiÍ MO Êÿj~Êi ~{ÉÆÍÂ

More information

() x + y + y + x dy dx = 0 () dy + xy = x dx y + x y ( 5) ( s55906) 0.7. (). 5 (). ( 6) ( s6590) 0.8 m n. 0.9 n n A. ( 6) ( s6590) f A (λ) = det(a λi)

() x + y + y + x dy dx = 0 () dy + xy = x dx y + x y ( 5) ( s55906) 0.7. (). 5 (). ( 6) ( s6590) 0.8 m n. 0.9 n n A. ( 6) ( s6590) f A (λ) = det(a λi) 0. A A = 4 IC () det A () A () x + y + z = x y z X Y Z = A x y z ( 5) ( s5590) 0. a + b + c b c () a a + b + c c a b a + b + c 0 a b c () a 0 c b b c 0 a c b a 0 0. A A = 7 5 4 5 0 ( 5) ( s5590) () A ()

More information

Microsoft Word - ’V‘é−gŁš.doc

Microsoft Word - ’V‘é−gŁš.doc ÿj~ Êu ÊËu ÎÍÊ Êy Ê~ Ê~Êu}Ì ÐÑÒdÌÊh ~{ 2 1 Êu ÿj~ Êu ~Êÿj~ ÊÂÇÍÊiÍ MO Ê{dÉÆÍ ÂÊÊ ÊuÊÎdyÉÆÍ {dêâi ~ +%ÌuËÊÎÐÑÑ~{ÉÆÍ ÉÎˈÊuÊ{dÉÆÍÂÌÉÂ~~ÍÊdÊÊÌ ÂvÇ ÉÆÍÇÉÇÍ ÊÊ~{ÉÉÌ ÎÆ{dÉÊÉÉÆÍ Êu u ÿj~ ÊÊ~ÊÊÂÇ~ÉÆÍÂy ÊÊ

More information

1. 1 A : l l : (1) l m (m 3) (2) m (3) n (n 3) (4) A α, β γ α β + γ = 2 m l lm n nα nα = lm. α = lm n. m lm 2β 2β = lm β = lm 2. γ l 2. 3

1. 1 A : l l : (1) l m (m 3) (2) m (3) n (n 3) (4) A α, β γ α β + γ = 2 m l lm n nα nα = lm. α = lm n. m lm 2β 2β = lm β = lm 2. γ l 2. 3 1. 1 A : l l : (1) l m (m 3) (2) m (3) n (n 3) (4) A 2 1 2 1 2 3 α, β γ α β + γ = 2 m l lm n nα nα = lm. α = lm n. m lm 2β 2β = lm β = lm 2. γ l 2. 3 4 P, Q R n = {(x 1, x 2,, x n ) ; x 1, x 2,, x n R}

More information

( ) ( 40 )+( 60 ) Schrödinger 3. (a) (b) (c) yoshioka/education-09.html pdf 1

( ) ( 40 )+( 60 ) Schrödinger 3. (a) (b) (c)   yoshioka/education-09.html pdf 1 2009 1 ( ) ( 40 )+( 60 ) 1 1. 2. Schrödinger 3. (a) (b) (c) http://goofy.phys.nara-wu.ac.jp/ yoshioka/education-09.html pdf 1 1. ( photon) ν λ = c ν (c = 3.0 108 /m : ) ɛ = hν (1) p = hν/c = h/λ (2) h

More information

( )

( ) 7..-8..8.......................................................................... 4.................................... 3...................................... 3..3.................................. 4.3....................................

More information

) ] [ h m x + y + + V x) φ = Eφ 1) z E = i h t 13) x << 1) N n n= = N N + 1) 14) N n n= = N N + 1)N + 1) 6 15) N n 3 n= = 1 4 N N + 1) 16) N n 4

) ] [ h m x + y + + V x) φ = Eφ 1) z E = i h t 13) x << 1) N n n= = N N + 1) 14) N n n= = N N + 1)N + 1) 6 15) N n 3 n= = 1 4 N N + 1) 16) N n 4 1. k λ ν ω T v p v g k = π λ ω = πν = π T v p = λν = ω k v g = dω dk 1) ) 3) 4). p = hk = h λ 5) E = hν = hω 6) h = h π 7) h =6.6618 1 34 J sec) hc=197.3 MeV fm = 197.3 kev pm= 197.3 ev nm = 1.97 1 3 ev

More information

all.dvi

all.dvi 5,, Euclid.,..,... Euclid,.,.,, e i (i =,, ). 6 x a x e e e x.:,,. a,,. a a = a e + a e + a e = {e, e, e } a (.) = a i e i = a i e i (.) i= {a,a,a } T ( T ),.,,,,. (.),.,...,,. a 0 0 a = a 0 + a + a 0

More information

Microsoft Word - −C−…−gŁš.doc

Microsoft Word - −C−…−gŁš.doc ÿj~ Êu ÊËu ÎÍÊ Êy Ê~ Ê~Êu}Ì ÐÑÒdÌÊh ~{ 3 1 Êu ÿj~ Êu ~Êÿj~ ÊÂÇÍÊiÍ MO Ê{dÉÆÍ ÂÊÊ ÊuÊÎdyÉÆÍ {dêâi ~ +%ÌuËÊÎÐÑÑ~{ÉÆÍ ÉÎˈÊuÊ{dÉÆÍÂÌÉÂ~~ÍÊdÊÊÌ ÂvÇ ÉÆÍÇÉÇÍ ÊÊ~{ÉÉÌ ÎÆ{dÉÊÉÉÆÍ Êu u ÿj~ ÊÊ~ÊÊÂÇ~ÉÆÍÂdÊÊÇ

More information

No δs δs = r + δr r = δr (3) δs δs = r r = δr + u(r + δr, t) u(r, t) (4) δr = (δx, δy, δz) u i (r + δr, t) u i (r, t) = u i x j δx j (5) δs 2

No δs δs = r + δr r = δr (3) δs δs = r r = δr + u(r + δr, t) u(r, t) (4) δr = (δx, δy, δz) u i (r + δr, t) u i (r, t) = u i x j δx j (5) δs 2 No.2 1 2 2 δs δs = r + δr r = δr (3) δs δs = r r = δr + u(r + δr, t) u(r, t) (4) δr = (δx, δy, δz) u i (r + δr, t) u i (r, t) = u i δx j (5) δs 2 = δx i δx i + 2 u i δx i δx j = δs 2 + 2s ij δx i δx j

More information

I A A441 : April 15, 2013 Version : 1.1 I Kawahira, Tomoki TA (Shigehiro, Yoshida )

I A A441 : April 15, 2013 Version : 1.1 I   Kawahira, Tomoki TA (Shigehiro, Yoshida ) I013 00-1 : April 15, 013 Version : 1.1 I Kawahira, Tomoki TA (Shigehiro, Yoshida) http://www.math.nagoya-u.ac.jp/~kawahira/courses/13s-tenbou.html pdf * 4 15 4 5 13 e πi = 1 5 0 5 7 3 4 6 3 6 10 6 17

More information

Microsoft Word - 99

Microsoft Word - 99 一般国道 205 号 針尾バイパス ÓÏÓÑÊu ÊËu ÊÍÍÊ yêéêééuê Ê ÊÊ ~ Êd ÔÖÑÏÐÒÊ ~Ê ~~{ËÊÎÐÑÑ Ê Ê y ÊvÊu eêu ÊvÂwÊÆÍ vêu uvêèív ~{ ÓÏÓÑÊu Êu ÿj~êâ ÎzÉÈÂ ÊiÍ MOÊud~{ÉÆÍÂÿj~ÉÈÉ ÓÒÒÖ ÐÎÈÂÊÂÂÂÂuÊ iîíéuê{déæíâ ÇÊÆÉÂÓÏÓÑÊÂui ~É~ÈÊ

More information

25 7 18 1 1 1.1 v.s............................. 1 1.1.1.................................. 1 1.1.2................................. 1 1.1.3.................................. 3 1.2................... 3

More information

II No.01 [n/2] [1]H n (x) H n (x) = ( 1) r n! r!(n 2r)! (2x)n 2r. r=0 [2]H n (x) n,, H n ( x) = ( 1) n H n (x). [3] H n (x) = ( 1) n dn x2 e dx n e x2

II No.01 [n/2] [1]H n (x) H n (x) = ( 1) r n! r!(n 2r)! (2x)n 2r. r=0 [2]H n (x) n,, H n ( x) = ( 1) n H n (x). [3] H n (x) = ( 1) n dn x2 e dx n e x2 II No.1 [n/] [1]H n x) H n x) = 1) r n! r!n r)! x)n r r= []H n x) n,, H n x) = 1) n H n x) [3] H n x) = 1) n dn x e dx n e x [4] H n+1 x) = xh n x) nh n 1 x) ) d dx x H n x) = H n+1 x) d dx H nx) = nh

More information

keisoku01.dvi

keisoku01.dvi 2.,, Mon, 2006, 401, SAGA, JAPAN Dept. of Mechanical Engineering, Saga Univ., JAPAN 4 Mon, 2006, 401, SAGA, JAPAN Dept. of Mechanical Engineering, Saga Univ., JAPAN 5 Mon, 2006, 401, SAGA, JAPAN Dept.

More information

<4D F736F F D2088CF88F589EF8E9197BF816991E596EC927C A2E646F63>

<4D F736F F D2088CF88F589EF8E9197BF816991E596EC927C A2E646F63> ÿj~ ~{ 大野竹田道路 ~{Êu ÊËu ÎÍÊ Êy Ê~ Ê~Êu}Ì ÐÑÒdÌÊh ~{Êu ~{Êu ~{ÊÂÊv{dÊÈÍÉu~{ÉÂ ÎzÉÈÉÎÈÊiÍ MO Êi ~{É ÆÍÂ ~{ÊÂÂÎÉÈÉÈÍÈÍÊÎÊ~ÈÂ ÊÎ~ÈÍÉÉÌÊÂdÊÂÊÈÍÇÉÎ ÉÈÉ~{ÉÆÍÂ ÌÉÂdyi ~Ëi ~É~ÈÍÍÇÉÊÍÍÂÓ ÒÒÖ ÐÇÈÍÂÈÌÈÌÊÉÊÇhÉÊÍÂ ~{

More information

,. Black-Scholes u t t, x c u 0 t, x x u t t, x c u t, x x u t t, x + σ x u t, x + rx ut, x rux, t 0 x x,,.,. Step 3, 7,,, Step 6., Step 4,. Step 5,,.

,. Black-Scholes u t t, x c u 0 t, x x u t t, x c u t, x x u t t, x + σ x u t, x + rx ut, x rux, t 0 x x,,.,. Step 3, 7,,, Step 6., Step 4,. Step 5,,. 9 α ν β Ξ ξ Γ γ o δ Π π ε ρ ζ Σ σ η τ Θ θ Υ υ ι Φ φ κ χ Λ λ Ψ ψ µ Ω ω Def, Prop, Th, Lem, Note, Remark, Ex,, Proof, R, N, Q, C [a, b {x R : a x b} : a, b {x R : a < x < b} : [a, b {x R : a x < b} : a,

More information

newmain.dvi

newmain.dvi 数論 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. http://www.morikita.co.jp/books/mid/008142 このサンプルページの内容は, 第 2 版 1 刷発行当時のものです. Daniel DUVERNEY: THÉORIE DES NOMBRES c Dunod, Paris, 1998, This book is published

More information

I

I I 6 4 10 1 1 1.1............... 1 1................ 1 1.3.................... 1.4............... 1.4.1.............. 1.4................. 1.4.3........... 3 1.4.4.. 3 1.5.......... 3 1.5.1..............

More information

2011de.dvi

2011de.dvi 211 ( 4 2 1. 3 1.1............................... 3 1.2 1- -......................... 13 1.3 2-1 -................... 19 1.4 3- -......................... 29 2. 37 2.1................................ 37

More information

n (1.6) i j=1 1 n a ij x j = b i (1.7) (1.7) (1.4) (1.5) (1.4) (1.7) u, v, w ε x, ε y, ε x, γ yz, γ zx, γ xy (1.8) ε x = u x ε y = v y ε z = w z γ yz

n (1.6) i j=1 1 n a ij x j = b i (1.7) (1.7) (1.4) (1.5) (1.4) (1.7) u, v, w ε x, ε y, ε x, γ yz, γ zx, γ xy (1.8) ε x = u x ε y = v y ε z = w z γ yz 1 2 (a 1, a 2, a n ) (b 1, b 2, b n ) A (1.1) A = a 1 b 1 + a 2 b 2 + + a n b n (1.1) n A = a i b i (1.2) i=1 n i 1 n i=1 a i b i n i=1 A = a i b i (1.3) (1.3) (1.3) (1.1) (ummation convention) a 11 x

More information

total2010.dvi

total2010.dvi Ô ØÖ ÁÒØ ÖÔÓÐ Ø ÓÒ ÔÓÐÝÒÑ Ð Ø ÜØÖ ÔÓÐ Ø ÓÒ ËÓÑÑ Ö º½ ÁÒØ ÖÔÓÐ Ø ÓÒ Ä Ö Ò º º º º º º º º º º º º º º º º º º ¾ º½º½ ÓÖÑÙÐ Ø ÓÒ ÖÝ ÒØÖ ÕÙ º º º º º º º º º º º º º º º º º º º½º¾ ÓÖÑÙÐ Æ ÛØÓÒ º º º º º

More information

1 R n (x (k) = (x (k) 1,, x(k) n )) k 1 lim k,l x(k) x (l) = 0 (x (k) ) 1.1. (i) R n U U, r > 0, r () U (ii) R n F F F (iii) R n S S S = { R n ; r > 0

1 R n (x (k) = (x (k) 1,, x(k) n )) k 1 lim k,l x(k) x (l) = 0 (x (k) ) 1.1. (i) R n U U, r > 0, r () U (ii) R n F F F (iii) R n S S S = { R n ; r > 0 III 2018 11 7 1 2 2 3 3 6 4 8 5 10 ϵ-δ http://www.mth.ngoy-u.c.jp/ ymgmi/teching/set2018.pdf http://www.mth.ngoy-u.c.jp/ ymgmi/teching/rel2018.pdf n x = (x 1,, x n ) n R n x 0 = (0,, 0) x = (x 1 ) 2 +

More information

untitled

untitled 日本ボーイスカウト栃木県連盟機関紙 第 55 号合併号 平成 20 年 5 月 1 日発行 ÊÃÃÊÂÉsÊÉÊÍÌÈ なんたい写真館 ÏÔ ÉÆÇÐ Õ ÃÑÕ Ð ÃÉÉÊÆÉ uîïòõçêíêæ ÃÖ Ñ ÑÕ Ð ÈÇ ÃÉuÍÍÊÇÍ ÉÇÌÈÉ Â ÑÏÏÒÊÆ ÑÕ Ð ÉÉÉÆ ÆÍ ÆÇÐ ÕÉÉÉÍʱ ÇÊÐ Õ ÆÍÈÇÆ ÉÈ ÈÊÈÇÈÊ ˆÎuÉÇÉÈÆ ÊÊÔ ÑÎuÉÇÉÈÆÂ

More information

S I. dy fx x fx y fx + C 3 C dy fx 4 x, y dy v C xt y C v e kt k > xt yt gt [ v dt dt v e kt xt v e kt + C k x v + C C k xt v k 3 r r + dr e kt S dt d

S I. dy fx x fx y fx + C 3 C dy fx 4 x, y dy v C xt y C v e kt k > xt yt gt [ v dt dt v e kt xt v e kt + C k x v + C C k xt v k 3 r r + dr e kt S dt d S I.. http://ayapin.film.s.dendai.ac.jp/~matuda /TeX/lecture.html PDF PS.................................... 3.3.................... 9.4................5.............. 3 5. Laplace................. 5....

More information

all.dvi

all.dvi 29 4 Green-Lagrange,,.,,,,,,.,,,,,,,,,, E, σ, ε σ = Eε,,.. 4.1? l, l 1 (l 1 l) ε ε = l 1 l l (4.1) F l l 1 F 30 4 Green-Lagrange Δz Δδ γ = Δδ (4.2) Δz π/2 φ γ = π 2 φ (4.3) γ tan γ γ,sin γ γ ( π ) γ tan

More information

/ n (M1) M (M2) n Λ A = {ϕ λ : U λ R n } λ Λ M (atlas) A (a) {U λ } λ Λ M (open covering) U λ M λ Λ U λ = M (b) λ Λ ϕ λ : U λ ϕ λ (U λ ) R n ϕ

/ n (M1) M (M2) n Λ A = {ϕ λ : U λ R n } λ Λ M (atlas) A (a) {U λ } λ Λ M (open covering) U λ M λ Λ U λ = M (b) λ Λ ϕ λ : U λ ϕ λ (U λ ) R n ϕ 4 4.1 1 2 1 4 2 1 / 2 4.1.1 n (M1) M (M2) n Λ A = {ϕ λ : U λ R n } λ Λ M (atlas) A (a) {U λ } λ Λ M (open covering) U λ M λ Λ U λ = M (b) λ Λ ϕ λ : U λ ϕ λ (U λ ) R n ϕ λ U λ (local chart, local coordinate)

More information

18 I ( ) (1) I-1,I-2,I-3 (2) (3) I-1 ( ) (100 ) θ ϕ θ ϕ m m l l θ ϕ θ ϕ 2 g (1) (2) 0 (3) θ ϕ (4) (3) θ(t) = A 1 cos(ω 1 t + α 1 ) + A 2 cos(ω 2 t + α

18 I ( ) (1) I-1,I-2,I-3 (2) (3) I-1 ( ) (100 ) θ ϕ θ ϕ m m l l θ ϕ θ ϕ 2 g (1) (2) 0 (3) θ ϕ (4) (3) θ(t) = A 1 cos(ω 1 t + α 1 ) + A 2 cos(ω 2 t + α 18 I ( ) (1) I-1,I-2,I-3 (2) (3) I-1 ( ) (100 ) θ ϕ θ ϕ m m l l θ ϕ θ ϕ 2 g (1) (2) 0 (3) θ ϕ (4) (3) θ(t) = A 1 cos(ω 1 t + α 1 ) + A 2 cos(ω 2 t + α 2 ), ϕ(t) = B 1 cos(ω 1 t + α 1 ) + B 2 cos(ω 2 t

More information

II A A441 : October 02, 2014 Version : Kawahira, Tomoki TA (Kondo, Hirotaka )

II A A441 : October 02, 2014 Version : Kawahira, Tomoki TA (Kondo, Hirotaka ) II 214-1 : October 2, 214 Version : 1.1 Kawahira, Tomoki TA (Kondo, Hirotaka ) http://www.math.nagoya-u.ac.jp/~kawahira/courses/14w-biseki.html pdf 1 2 1 9 1 16 1 23 1 3 11 6 11 13 11 2 11 27 12 4 12 11

More information

6 6.1 L r p hl = r p (6.1) 1, 2, 3 r =(x, y, z )=(r 1,r 2,r 3 ), p =(p x,p y,p z )=(p 1,p 2,p 3 ) (6.2) hl i = jk ɛ ijk r j p k (6.3) ɛ ijk Levi Civit

6 6.1 L r p hl = r p (6.1) 1, 2, 3 r =(x, y, z )=(r 1,r 2,r 3 ), p =(p x,p y,p z )=(p 1,p 2,p 3 ) (6.2) hl i = jk ɛ ijk r j p k (6.3) ɛ ijk Levi Civit 6 6.1 L r p hl = r p (6.1) 1, 2, 3 r =(x, y, z )=(r 1,r 2,r 3 ), p =(p x,p y,p z )=(p 1,p 2,p 3 ) (6.2) hl i = jk ɛ ijk r j p k (6.3) ɛ ijk Levi Civita ɛ 123 =1 0 r p = 2 2 = (6.4) Planck h L p = h ( h

More information

<4D F736F F D2088CF88F589EF8E9197BF81698CA28E9490E78DCE816A2D312E646F63>

<4D F736F F D2088CF88F589EF8E9197BF81698CA28E9490E78DCE816A2D312E646F63> ÿj~ ~{ 犬飼千歳道路 Š~{Êu ÊËu ÎÍÊ Êy Ê~ Ê~Êu}Ì ÐÑÒdÌÊh Š~{Êu ~{Êu ~{ÊÊv{dÊÈÍÉu~{ÉÂ ÎzÉÈÉÎÈÊiÍ MO Êi ~{ÉÆ ÍÂ ~{ÊÂÂÎÉÈÉÈÍÈÍÊÎÊ~ÈÂ ÊÎ~ÈÍÉÉÌÊÂdÊÂÊÈÍÇÉÎ ÉÈÉ~{ÉÆÍÂ ÌÉÂdyi ~Ëi ~É~ÈÍÍÇÉÊÍÍÂÓ ÒÒÖ ÐÇÈÍÂÈÌÈÌÊÉÊÇhÉÊÍÂ Ÿe

More information

inyectiva.dvi

inyectiva.dvi ÙÒ ÓÒ ÁÒÝ Ø Ú Ó Ö Ý Ø Ú Ý Ø Ú ÒÚ Ö ÂÙÐ Ó Ö ½ Ñ ÝÓ ¾¼½ ÁÒÝ Ø Ú Ó Ö Ý Ø Ú Ý Ý Ø Ú ÁÒÝ Ø Ú Ò Ò ½ ÙÒ Ò ÁÒÝ Ø Ú µ ÍÒ ÙÒ Ò f ÒÝ Ø Ú Ó ÙÒ Ú Ð ÒØ Ð Ñ ÒØÓ Ø ÒØÓ Ð ÓÑ Ò Ó Ø Ò Ò Ñ Ò Ø ÒØ Ö f : A B ÒÝ Ø Ú x 1,x 2

More information

Microsoft Word - p2-11堀川先生_紀要原稿_ final.doc

Microsoft Word - p2-11堀川先生_紀要原稿_ final.doc u 0Q w ÎÈÉg fêf 2008 uê Êfu ÉÈÉÆÍÌÊÊÊÇÊ ÃuwÊ ÃÉÃÊfÃÇÆÍÂÇÍÊ ~ÈÉ ÎÈÍÇÉÇÍÇ ÈÍÍÇ ÎÈÍÉÊÊÆÆÆÇÉÇÊvxÊÆÂ É ÆÆ ÌyÎÈÍÉÇÉÊÇ ÌyÎÈÍÿ~ÊÔÖÑÑÉ ÈÇÉuÊÈÌÈÌÊÊÑÐÖÎg fèíçéçuéæíâèíêí ÉÉ ÊÃÎÆÃÎÆ ÌÉÆÊÌÉÇÍÍÆÊÊÍÂ ÊÊ ÈÉ Ãfu ÃÊÊ 1

More information

OHP.dvi

OHP.dvi 7 2010 11 22 1 7 http://www.sml.k.u-tokyo.ac.jp/members/nabe/lecture2010 nabe@sml.k.u-tokyo.ac.jp 2 1. 10/ 4 2. 10/18 3. 10/25 2, 3 4. 11/ 1 5. 11/ 8 6. 11/15 7. 11/22 8. 11/29 9. 12/ 6 skyline 10. 12/13

More information

n ( (

n ( ( 1 2 27 6 1 1 m-mat@mathscihiroshima-uacjp 2 http://wwwmathscihiroshima-uacjp/~m-mat/teach/teachhtml 2 1 3 11 3 111 3 112 4 113 n 4 114 5 115 5 12 7 121 7 122 9 123 11 124 11 125 12 126 2 2 13 127 15 128

More information

,,..,. 1

,,..,. 1 016 9 3 6 0 016 1 0 1 10 1 1 17 1..,,..,. 1 1 c = h = G = ε 0 = 1. 1.1 L L T V 1.1. T, V. d dt L q i L q i = 0 1.. q i t L q i, q i, t L ϕ, ϕ, x µ x µ 1.3. ϕ x µ, L. S, L, L S = Ld 4 x 1.4 = Ld 3 xdt 1.5

More information

fm

fm ÁÔÖÐÖÕ +1 ÔÖÒÑÑÐ /2% Ê Éte u ªªªªª f ªªª ª«ªªª ª ~ ªª ª ª ª ªªª ªª ª ªªª ª ªª ª «ªª ª ª ª ª ª ª ª ªªªª ª ª ª ª ª ª ªªªª «««s ª ª ª ª ªªª v ªª ª ª ª ªv l Ð ÔÎ 59Ö Ð ~ 59 59 59 59 Ð ÔÎ 59Ö Ð ~ ª ª ª ««10

More information

( ) Note (e ) (µ ) (τ ) ( (ν e,e ) e- (ν µ, µ ) µ- (ν τ,τ ) τ- ) ( ) ( ) (SU(2) ) (W +,Z 0,W ) * 1) 3 * 2) [ ] [ ] [ ] ν e ν µ ν τ e

( ) Note (e ) (µ ) (τ ) ( (ν e,e ) e- (ν µ, µ ) µ- (ν τ,τ ) τ- ) ( ) ( ) (SU(2) ) (W +,Z 0,W ) * 1) 3 * 2) [ ] [ ] [ ] ν e ν µ ν τ e ( ) Note 3 19 12 13 8 8.1 (e ) (µ ) (τ ) ( (ν e,e ) e- (ν µ, µ ) µ- (ν τ,τ ) τ- ) ( ) ( ) (SU(2) ) (W +,Z 0,W ) * 1) 3 * 2) [ ] [ ] [ ] ν e ν µ ν τ e µ τ, e R, µ R, τ R (1a) L ( ) ) * 3) W Z 1/2 ( - )

More information

数学の基礎訓練I

数学の基礎訓練I I 9 6 13 1 1 1.1............... 1 1................ 1 1.3.................... 1.4............... 1.4.1.............. 1.4................. 3 1.4.3........... 3 1.4.4.. 3 1.5.......... 3 1.5.1..............

More information

: , 2.0, 3.0, 2.0, (%) ( 2.

: , 2.0, 3.0, 2.0, (%) ( 2. 2017 1 2 1.1...................................... 2 1.2......................................... 4 1.3........................................... 10 1.4................................. 14 1.5..........................................

More information

I A A441 : April 21, 2014 Version : Kawahira, Tomoki TA (Kondo, Hirotaka ) Google

I A A441 : April 21, 2014 Version : Kawahira, Tomoki TA (Kondo, Hirotaka ) Google I4 - : April, 4 Version :. Kwhir, Tomoki TA (Kondo, Hirotk) Google http://www.mth.ngoy-u.c.jp/~kwhir/courses/4s-biseki.html pdf 4 4 4 4 8 e 5 5 9 etc. 5 6 6 6 9 n etc. 6 6 6 3 6 3 7 7 etc 7 4 7 7 8 5 59

More information

~nabe/lecture/index.html 2

~nabe/lecture/index.html 2 2001 12 13 1 http://www.sml.k.u-tokyo.ac.jp/ ~nabe/lecture/index.html nabe@sml.k.u-tokyo.ac.jp 2 1. 10/ 4 2. 10/11 3. 10/18 1 4. 10/25 2 5. 11/ 1 6. 11/ 8 7. 11/15 8. 11/22 9. 11/29 10. 12/ 6 1 11. 12/13

More information

() n C + n C + n C + + n C n n (3) n C + n C + n C 4 + n C + n C 3 + n C 5 + (5) (6 ) n C + nc + 3 nc n nc n (7 ) n C + nc + 3 nc n nc n (

() n C + n C + n C + + n C n n (3) n C + n C + n C 4 + n C + n C 3 + n C 5 + (5) (6 ) n C + nc + 3 nc n nc n (7 ) n C + nc + 3 nc n nc n ( 3 n nc k+ k + 3 () n C r n C n r nc r C r + C r ( r n ) () n C + n C + n C + + n C n n (3) n C + n C + n C 4 + n C + n C 3 + n C 5 + (4) n C n n C + n C + n C + + n C n (5) k k n C k n C k (6) n C + nc

More information

S K(S) = T K(T ) T S K n (1.1) n {}}{ n K n (1.1) 0 K 0 0 K Q p K Z/pZ L K (1) L K L K (2) K L L K [L : K] 1.1.

S K(S) = T K(T ) T S K n (1.1) n {}}{ n K n (1.1) 0 K 0 0 K Q p K Z/pZ L K (1) L K L K (2) K L L K [L : K] 1.1. () 1.1.. 1. 1.1. (1) L K (i) 0 K 1 K (ii) x, y K x + y K, x y K (iii) x, y K xy K (iv) x K \ {0} x 1 K K L L K ( 0 L 1 L ) L K L/K (2) K M L M K L 1.1. C C 1.2. R K = {a + b 3 i a, b Q} Q( 2, 3) = Q( 2

More information

2.2 ( y = y(x ( (x 0, y 0 y (x 0 (y 0 = y(x 0 y = y(x ( y (x 0 = F (x 0, y(x 0 = F (x 0, y 0 (x 0, y 0 ( (x 0, y 0 F (x 0, y 0 xy (x, y (, F (x, y ( (

2.2 ( y = y(x ( (x 0, y 0 y (x 0 (y 0 = y(x 0 y = y(x ( y (x 0 = F (x 0, y(x 0 = F (x 0, y 0 (x 0, y 0 ( (x 0, y 0 F (x 0, y 0 xy (x, y (, F (x, y ( ( (. x y y x f y = f(x y x y = y(x y x y dx = d dx y(x = y (x = f (x y = y(x x ( (differential equation ( + y 2 dx + xy = 0 dx = xy + y 2 2 2 x y 2 F (x, y = xy + y 2 y = y(x x x xy(x = F (x, y(x + y(x 2

More information

W u = u(x, t) u tt = a 2 u xx, a > 0 (1) D := {(x, t) : 0 x l, t 0} u (0, t) = 0, u (l, t) = 0, t 0 (2)

W u = u(x, t) u tt = a 2 u xx, a > 0 (1) D := {(x, t) : 0 x l, t 0} u (0, t) = 0, u (l, t) = 0, t 0 (2) 3 215 4 27 1 1 u u(x, t) u tt a 2 u xx, a > (1) D : {(x, t) : x, t } u (, t), u (, t), t (2) u(x, ) f(x), u(x, ) t 2, x (3) u(x, t) X(x)T (t) u (1) 1 T (t) a 2 T (t) X (x) X(x) α (2) T (t) αa 2 T (t) (4)

More information

n ξ n,i, i = 1,, n S n ξ n,i n 0 R 1,.. σ 1 σ i .10.14.15 0 1 0 1 1 3.14 3.18 3.19 3.14 3.14,. ii 1 1 1.1..................................... 1 1............................... 3 1.3.........................

More information

S I. dy fx x fx y fx + C 3 C vt dy fx 4 x, y dy yt gt + Ct + C dt v e kt xt v e kt + C k x v k + C C xt v k 3 r r + dr e kt S Sr πr dt d v } dt k e kt

S I. dy fx x fx y fx + C 3 C vt dy fx 4 x, y dy yt gt + Ct + C dt v e kt xt v e kt + C k x v k + C C xt v k 3 r r + dr e kt S Sr πr dt d v } dt k e kt S I. x yx y y, y,. F x, y, y, y,, y n http://ayapin.film.s.dendai.ac.jp/~matuda n /TeX/lecture.html PDF PS yx.................................... 3.3.................... 9.4................5..............

More information

[Ver. 0.2] 1 2 3 4 5 6 7 1 1.1 1.2 1.3 1.4 1.5 1 1.1 1 1.2 1. (elasticity) 2. (plasticity) 3. (strength) 4. 5. (toughness) 6. 1 1.2 1. (elasticity) } 1 1.2 2. (plasticity), 1 1.2 3. (strength) a < b F

More information

untitled

untitled ËÍÆÆÔÏÑÒÏÓÖ Ö Ñ ÑÕÒ Ö Ñ Ê ÔÏ ÖÕ ÖÏ ÒÒ ÔÖ ux ÊÎÉÆ ÍÍ ÊÉÈÊÌ ÊÆÇÇ ÐÖ Ó vd 日本ボーイスカウト栃木県連盟機関紙平成 20 年 1 月 1 日発行第 54 号 ÉÆÊÆÍÆÊÍÍ ÌÈiÌÊ ÌÊÉÈÍÇÉÉ ÆÍÇÉÉÈÉÆÍÇÌÈÍÌÈÎ Ô ÏÑÏÏÒÊÈÍuÎÍ ÉÌÊÊŒÊÈÍwÉÊ ÈÍÎÇÍÌÉÊsÆuÇÆ ÍÌÈ ÉÉÊÈÉgÊÆÆÉ

More information

1. 1 BASIC PC BASIC BASIC BASIC Fortran WS PC (1.3) 1 + x 1 x = x = (1.1) 1 + x = (1.2) 1 + x 1 = (1.

1. 1 BASIC PC BASIC BASIC BASIC Fortran WS PC (1.3) 1 + x 1 x = x = (1.1) 1 + x = (1.2) 1 + x 1 = (1. Section Title Pages Id 1 3 7239 2 4 7239 3 10 7239 4 8 7244 5 13 7276 6 14 7338 7 8 7338 8 7 7445 9 11 7580 10 10 7590 11 8 7580 12 6 7395 13 z 11 7746 14 13 7753 15 7 7859 16 8 7942 17 8 Id URL http://km.int.oyo.co.jp/showdocumentdetailspage.jsp?documentid=

More information

p = mv p x > h/4π λ = h p m v Ψ 2 Ψ

p = mv p x > h/4π λ = h p m v Ψ 2 Ψ II p = mv p x > h/4π λ = h p m v Ψ 2 Ψ Ψ Ψ 2 0 x P'(x) m d 2 x = mω 2 x = kx = F(x) dt 2 x = cos(ωt + φ) mω 2 = k ω = m k v = dx = -ωsin(ωt + φ) dt = d 2 x dt 2 0 y v θ P(x,y) θ = ωt + φ ν = ω [Hz] 2π

More information

7 π L int = gψ(x)ψ(x)φ(x) + (7.4) [ ] p ψ N = n (7.5) π (π +,π 0,π ) ψ (σ, σ, σ )ψ ( A) σ τ ( L int = gψψφ g N τ ) N π * ) (7.6) π π = (π, π, π ) π ±

7 π L int = gψ(x)ψ(x)φ(x) + (7.4) [ ] p ψ N = n (7.5) π (π +,π 0,π ) ψ (σ, σ, σ )ψ ( A) σ τ ( L int = gψψφ g N τ ) N π * ) (7.6) π π = (π, π, π ) π ± 7 7. ( ) SU() SU() 9 ( MeV) p 98.8 π + π 0 n 99.57 9.57 97.4 497.70 δm m 0.4%.% 0.% 0.8% π 9.57 4.96 Σ + Σ 0 Σ 89.6 9.46 K + K 0 49.67 (7.) p p = αp + βn, n n = γp + δn (7.a) [ ] p ψ ψ = Uψ, U = n [ α

More information

t = h x z z = h z = t (x, z) (v x (x, z, t), v z (x, z, t)) ρ v x x + v z z = 0 (1) 2-2. (v x, v z ) φ(x, z, t) v x = φ x, v z

t = h x z z = h z = t (x, z) (v x (x, z, t), v z (x, z, t)) ρ v x x + v z z = 0 (1) 2-2. (v x, v z ) φ(x, z, t) v x = φ x, v z I 1 m 2 l k 2 x = 0 x 1 x 1 2 x 2 g x x 2 x 1 m k m 1-1. L x 1, x 2, ẋ 1, ẋ 2 ẋ 1 x = 0 1-2. 2 Q = x 1 + x 2 2 q = x 2 x 1 l L Q, q, Q, q M = 2m µ = m 2 1-3. Q q 1-4. 2 x 2 = h 1 x 1 t = 0 2 1 t x 1 (t)

More information

( )/2 hara/lectures/lectures-j.html 2, {H} {T } S = {H, T } {(H, H), (H, T )} {(H, T ), (T, T )} {(H, H), (T, T )} {1

( )/2   hara/lectures/lectures-j.html 2, {H} {T } S = {H, T } {(H, H), (H, T )} {(H, T ), (T, T )} {(H, H), (T, T )} {1 ( )/2 http://www2.math.kyushu-u.ac.jp/ hara/lectures/lectures-j.html 1 2011 ( )/2 2 2011 4 1 2 1.1 1 2 1 2 3 4 5 1.1.1 sample space S S = {H, T } H T T H S = {(H, H), (H, T ), (T, H), (T, T )} (T, H) S

More information

() Remrk I = [0, ] [x i, x i ]. (x : ) f(x) = 0 (x : ) ξ i, (f) = f(ξ i )(x i x i ) = (x i x i ) = ξ i, (f) = f(ξ i )(x i x i ) = 0 (f) 0.

() Remrk I = [0, ] [x i, x i ]. (x : ) f(x) = 0 (x : ) ξ i, (f) = f(ξ i )(x i x i ) = (x i x i ) = ξ i, (f) = f(ξ i )(x i x i ) = 0 (f) 0. () 6 f(x) [, b] 6. Riemnn [, b] f(x) S f(x) [, b] (Riemnn) = x 0 < x < x < < x n = b. I = [, b] = {x,, x n } mx(x i x i ) =. i [x i, x i ] ξ i n (f) = f(ξ i )(x i x i ) i=. (ξ i ) (f) 0( ), ξ i, S, ε >

More information

x () g(x) = f(t) dt f(x), F (x) 3x () g(x) g (x) f(x), F (x) (3) h(x) = x 3x tf(t) dt.9 = {(x, y) ; x, y, x + y } f(x, y) = xy( x y). h (x) f(x), F (x

x () g(x) = f(t) dt f(x), F (x) 3x () g(x) g (x) f(x), F (x) (3) h(x) = x 3x tf(t) dt.9 = {(x, y) ; x, y, x + y } f(x, y) = xy( x y). h (x) f(x), F (x [ ] IC. f(x) = e x () f(x) f (x) () lim f(x) lim f(x) x + x (3) lim f(x) lim f(x) x + x (4) y = f(x) ( ) ( s46). < a < () a () lim a log xdx a log xdx ( ) n (3) lim log k log n n n k=.3 z = log(x + y ),

More information

TOP URL 1

TOP URL   1 TOP URL http://amonphys.web.fc.com/ 1 19 3 19.1................... 3 19.............................. 4 19.3............................... 6 19.4.............................. 8 19.5.............................

More information

Part () () Γ Part ,

Part () () Γ Part , Contents a 6 6 6 6 6 6 6 7 7. 8.. 8.. 8.3. 8 Part. 9. 9.. 9.. 3. 3.. 3.. 3 4. 5 4.. 5 4.. 9 4.3. 3 Part. 6 5. () 6 5.. () 7 5.. 9 5.3. Γ 3 6. 3 6.. 3 6.. 3 6.3. 33 Part 3. 34 7. 34 7.. 34 7.. 34 8. 35

More information

<4D F736F F D BB388E78CA48B B E6338AAA2B92B290AE2B E646F63>

<4D F736F F D BB388E78CA48B B E6338AAA2B92B290AE2B E646F63> ÈÆÉÇÍÊ ÈÍÿf ÃËÆÃÎ~ÈÉ g w ÊÈÌÊ ÊÈÌÊ Êv ÈÆÉÇÍ vƒ ÇÍË ÊvÈÆ ÊÊÇÆvÈ uêæí ÉÊÃÌÉÌà {ÎÆ ÆÍÍÊ ÌÉÊÂiÍÊÊÈÉÃÊÉÉÉÊÉÊÇÃÉÆÉÉÆÇÇÎÈÉ ÇÆÉÉÉÍÆÇÂÉÈÉÂÇÍÌÉ ÊÎ~ÇÈÉÊÇÉÌÊÊÂÊ ÌixʈÊÊ ÊÊÊÇÉÉÂ}ÊÎÈÉÍÂÊÎÆÇËÉ ÍÈÊÇÍÍÎÉvÊÆÍÇÂÎÇÈÉÌÊÎfÆÍÇÉÊÊÇÉÉÊÉÆÍÂ

More information

O x y z O ( O ) O (O ) 3 x y z O O x v t = t = 0 ( 1 ) O t = 0 c t r = ct P (x, y, z) r 2 = x 2 + y 2 + z 2 (t, x, y, z) (ct) 2 x 2 y 2 z 2 = 0

O x y z O ( O ) O (O ) 3 x y z O O x v t = t = 0 ( 1 ) O t = 0 c t r = ct P (x, y, z) r 2 = x 2 + y 2 + z 2 (t, x, y, z) (ct) 2 x 2 y 2 z 2 = 0 9 O y O ( O ) O (O ) 3 y O O v t = t = 0 ( ) O t = 0 t r = t P (, y, ) r = + y + (t,, y, ) (t) y = 0 () ( )O O t (t ) y = 0 () (t) y = (t ) y = 0 (3) O O v O O v O O O y y O O v P(, y,, t) t (, y,, t )

More information

(1.2) T D = 0 T = D = 30 kn 1.2 (1.4) 2F W = 0 F = W/2 = 300 kn/2 = 150 kn 1.3 (1.9) R = W 1 + W 2 = = 1100 N. (1.9) W 2 b W 1 a = 0

(1.2) T D = 0 T = D = 30 kn 1.2 (1.4) 2F W = 0 F = W/2 = 300 kn/2 = 150 kn 1.3 (1.9) R = W 1 + W 2 = = 1100 N. (1.9) W 2 b W 1 a = 0 1 1 1.1 1.) T D = T = D = kn 1. 1.4) F W = F = W/ = kn/ = 15 kn 1. 1.9) R = W 1 + W = 6 + 5 = 11 N. 1.9) W b W 1 a = a = W /W 1 )b = 5/6) = 5 cm 1.4 AB AC P 1, P x, y x, y y x 1.4.) P sin 6 + P 1 sin 45

More information

(WP)

(WP) 1998 0 a b v g d je jo z i j k l m n o à á â ƒ ã ä å Ý Þ æ ç ˆ è é Š ê ë Œ ì í Ž î 1 ï p ð r ñ s ò t ó u ô f õ x ö ts t' ø ù ' ' š ú û y œ ü ' ý e ž þ ju Ÿ ß ja à, ê, ì, î, ò á, ã, ä, æ, é, ë, ï, ô, ö,,

More information

III 1 (X, d) d U d X (X, d). 1. (X, d).. (i) d(x, y) d(z, y) d(x, z) (ii) d(x, y) d(z, w) d(x, z) + d(y, w) 2. (X, d). F X.. (1), X F, (2) F 1, F 2 F

III 1 (X, d) d U d X (X, d). 1. (X, d).. (i) d(x, y) d(z, y) d(x, z) (ii) d(x, y) d(z, w) d(x, z) + d(y, w) 2. (X, d). F X.. (1), X F, (2) F 1, F 2 F III 1 (X, d) d U d X (X, d). 1. (X, d).. (i) d(x, y) d(z, y) d(x, z) (ii) d(x, y) d(z, w) d(x, z) + d(y, w) 2. (X, d). F X.. (1), X F, (2) F 1, F 2 F F 1 F 2 F, (3) F λ F λ F λ F. 3., A λ λ A λ. B λ λ

More information

Note.tex 2008/09/19( )

Note.tex 2008/09/19( ) 1 20 9 19 2 1 5 1.1........................ 5 1.2............................. 8 2 9 2.1............................. 9 2.2.............................. 10 3 13 3.1.............................. 13 3.2..................................

More information

A

A A 2563 15 4 21 1 3 1.1................................................ 3 1.2............................................. 3 2 3 2.1......................................... 3 2.2............................................

More information

Microsoft Word - kawanushi 1.doc

Microsoft Word - kawanushi 1.doc 一般国道 205 号 川棚改良 jêu ÊËu ÊÍÍÊ yêéêééuê Ê ÊÊ ~{ÊŠ Ê sê Ê yê ÊvÊu eêu Êv wêæí vêu uvêèív ~{ j Ê u Êu ÿj~êâ ÎzÉÈÂ ÊiÍMOÊud~{ÉÆÍÂÿj~ËÉÈÉ ÓÒÒÖ ÐÎÈÂÊÂÂÂÂuÊ iîíéuê{déæíâ ÇÊÆÉÂjÊÂÊvÈÍÉ Î ÈÌÇÌÇÆ ÈÍ OÊÇÆÎÌÂ ÈÇÆÌÉ

More information

st.dvi

st.dvi 9 3 5................................... 5............................. 5....................................... 5.................................. 7.........................................................................

More information

201711grade1ouyou.pdf

201711grade1ouyou.pdf 2017 11 26 1 2 52 3 12 13 22 23 32 33 42 3 5 3 4 90 5 6 A 1 2 Web Web 3 4 1 2... 5 6 7 7 44 8 9 1 2 3 1 p p >2 2 A 1 2 0.6 0.4 0.52... (a) 0.6 0.4...... B 1 2 0.8-0.2 0.52..... (b) 0.6 0.52.... 1 A B 2

More information

: : : : ) ) 1. d ij f i e i x i v j m a ij m f ij n x i =

: : : : ) ) 1. d ij f i e i x i v j m a ij m f ij n x i = 1 1980 1) 1 2 3 19721960 1965 2) 1999 1 69 1980 1972: 55 1999: 179 2041999: 210 211 1999: 211 3 2003 1987 92 97 3) 1960 1965 1970 1985 1990 1995 4) 1. d ij f i e i x i v j m a ij m f ij n x i = n d ij

More information

6.1 (P (P (P (P (P (P (, P (, P.

6.1 (P (P (P (P (P (P (, P (, P. (011 30 7 0 ( ( 3 ( 010 1 (P.3 1 1.1 (P.4.................. 1 1. (P.4............... 1 (P.15.1 (P.16................. (P.0............3 (P.18 3.4 (P.3............... 4 3 (P.9 4 3.1 (P.30........... 4 3.

More information

Microsoft Word - 99

Microsoft Word - 99 ÿj~ ui ~ 伊万里道路 ~{Êu ÊËu ÎÍÊ Êy y Ê~ Ê~Êu}Ì ÐÑÒdÌÊh ÿj~ ui ~ ~{Êu ÿj~ 497 ui ~ Êu ui ~Êud~{ÊÿÉÉvÍÉ~{ÉÆÍÂu ÊÆÇÍÊÂ~ÊÊÇÇÍÌÊÉÆÍÂ {dêîzééââââîé ÊiÍ MO Êÿj~i ~{ÉÆÍÂ Ë ÊÇÍÎ~ÌÉÇÉÆÍÂÌÉÊ,%6 +% ~{Êÿ Â,%6 ÌÊÉ +% ~{É~{Ê

More information

Microsoft Word - 484号.doc

Microsoft Word - 484号.doc ~s~é~díê ÈÍ~ ~vêíí w gé Ê~Ê Âf Âyf ÉÊÍÂ Ê ËÍÊÉÊÇÈËÉÎÍÉÆÆÃÒÖÔÖÃ ÉÆÉÉÉuÆ ÍÆÂÈÉÇÉiwÊ}ÈËÇÇÉÉÊÆÍÂÈÇÈÊÇÍÂ~ ÊÇÎu ÍÉ Êf ÇÍ Ê ÉÍÈÇÊÇuÍÍÍÌÊ ÊÂyfÊ ÇÍ ÉÊÆÍÂfi ÉÆÆ ÊÊÈÍÉÆÍÂ ËÍÊÒÖÔÖÉÆÆÎ ÍÉÎÉ ÉÉÆÆÉÇÊÎÉÊÇÍÌÆÍÍÊÆÉÆÍÆÂ

More information

I, II 1, A = A 4 : 6 = max{ A, } A A 10 10%

I, II 1, A = A 4 : 6 = max{ A, } A A 10 10% 1 2006.4.17. A 3-312 tel: 092-726-4774, e-mail: hara@math.kyushu-u.ac.jp, http://www.math.kyushu-u.ac.jp/ hara/lectures/lectures-j.html Office hours: B A I ɛ-δ ɛ-δ 1. 2. A 1. 1. 2. 3. 4. 5. 2. ɛ-δ 1. ɛ-n

More information

K E N Z OU

K E N Z OU K E N Z OU 11 1 1 1.1..................................... 1.1.1............................ 1.1..................................................................................... 4 1.........................................

More information

A A = a 41 a 42 a 43 a 44 A (7) 1 (3) A = M 12 = = a 41 (8) a 41 a 43 a 44 (3) n n A, B a i AB = A B ii aa

A A = a 41 a 42 a 43 a 44 A (7) 1 (3) A = M 12 = = a 41 (8) a 41 a 43 a 44 (3) n n A, B a i AB = A B ii aa 1 2 21 2 2 [ ] a 11 a 12 A = a 21 a 22 (1) A = a 11 a 22 a 12 a 21 (2) 3 3 n n A A = n ( 1) i+j a ij M ij i =1 n (3) j=1 M ij A i j (n 1) (n 1) 2-1 3 3 A A = a 11 a 12 a 13 a 21 a 22 a 23 a 31 a 32 a 33

More information

2019 1 5 0 3 1 4 1.1.................... 4 1.1.1......................... 4 1.1.2........................ 5 1.1.3................... 5 1.1.4........................ 6 1.1.5......................... 6 1.2..........................

More information

,,,17,,, ( ),, E Q [S T F t ] < S t, t [, T ],,,,,,,,

,,,17,,, ( ),, E Q [S T F t ] < S t, t [, T ],,,,,,,, 14 5 1 ,,,17,,,194 1 4 ( ),, E Q [S T F t ] < S t, t [, T ],,,,,,,, 1 4 1.1........................................ 4 5.1........................................ 5.........................................

More information

λ n numbering Num(λ) Young numbering T i j T ij Young T (content) cont T (row word) word T µ n S n µ C(µ) 0.2. Young λ, µ n Kostka K µλ K µλ def = #{T

λ n numbering Num(λ) Young numbering T i j T ij Young T (content) cont T (row word) word T µ n S n µ C(µ) 0.2. Young λ, µ n Kostka K µλ K µλ def = #{T 0 2 8 8 6 3 0 0 Young Young [F] 0.. Young λ n λ n λ = (λ,, λ l ) λ λ 2 λ l λ = ( m, 2 m 2, ) λ = n, l(λ) = l {λ n n 0} P λ = (λ, ), µ = (µ, ) n λ µ k k k λ i µ i λ µ λ = µ k i= i= i < k λ i = µ i λ k >

More information

2 0.1 Introduction NMR 70% 1/2

2 0.1 Introduction NMR 70% 1/2 Y. Kondo 2010 1 22 2 0.1 Introduction NMR 70% 1/2 3 0.1 Introduction......................... 2 1 7 1.1.................... 7 1.2............................ 11 1.3................... 12 1.4..........................

More information