. p.1/11

Size: px
Start display at page:

Download ". p.1/11"

Transcription

1 . p.1/11

2 [ ] F(x,y,z) = (F 1 (x,y,z),f 2 (x,y,z),f 3 (x,y,z)) = F 1 i+f 2 j+f 3 k div F = F 1 x + F 2 y + F 3 z F (divergence). p.1/11

3 [ ] F(x,y,z) = (F 1 (x,y,z),f 2 (x,y,z),f 3 (x,y,z)) = F 1 i+f 2 j+f 3 k div F = F 1 x + F 2 y + F 3 z F (divergence) = i x + j y + k z ( ) div F = F. p.1/11

4 . p.2/11

5 F. p.2/11

6 F (x,y,z) h. p.2/11

7 F (x,y,z) h h 2{ F(x + h,y,z) i + F(x h,y,z) ( i) 2 2 +F(x,y + h,z) j + F(x,y h,z) ( j) 2 2 +F(x,y,z + h) k + F(x,y,z h ) ( k) + ( )} 2 2. p.2/11

8 F (x,y,z) h h 2{ F(x + h,y,z) i + F(x h,y,z) ( i) 2 2 +F(x,y + h,z) j + F(x,y h,z) ( j) 2 2 +F(x,y,z + h) k + F(x,y,z h ) ( k) + ( )} 2 2 =h 2{( F 1 (x,y,z)+ hf 2 1x(x,y,z) ) ( F 1 (x,y,z)+( h)f 2 1x(x,y,z) ) + ( F 2 (x,y,z)+ hf 2 2y(x,y,z) ) ( F 2 (x,y,z)+( h)f 2 2y(x,y,z) ) + ( F 3 (x,y,z)+ hf 2 3z(x,y,z) ) ( F 3 (x,y,z)+( h)f 2 3z(x,y,z) )} +( ). p.2/11

9 F (x,y,z) h h 2{ F(x + h,y,z) i + F(x h,y,z) ( i) 2 2 +F(x,y + h,z) j + F(x,y h,z) ( j) 2 2 +F(x,y,z + h) k + F(x,y,z h ) ( k) + ( )} 2 2 =h 2{( F 1 (x,y,z)+ hf 2 1x(x,y,z) ) ( F 1 (x,y,z)+( h)f 2 1x(x,y,z) ) + ( F 2 (x,y,z)+ hf 2 2y(x,y,z) ) ( F 2 (x,y,z)+( h)f 2 2y(x,y,z) ) + ( F 3 (x,y,z)+ hf 2 3z(x,y,z) ) ( F 3 (x,y,z)+( h)f 2 3z(x,y,z) )} +( ) = h 3 div F+( ). p.2/11

10 h 3 h 0. p.3/11

11 h 3 h 0 (x,y,z). p.3/11

12 h 3 h 0 (x,y,z) div F(x,y,z). p.3/11

13 h 3 h 0 (x,y,z) div F(x,y,z) [ ]. p.3/11

14 h 3 h 0 (x,y,z) div F(x,y,z) [ ]. p.4/11

15 h 3 h 0 (x,y,z) div F(x,y,z) [ ] ρ(x,y,z) E(x,y,z) E = 1 ε 0 ρ ε 0 ( ). p.4/11

16 [ ] f(x,y,z) f = div (grad f) = ( f). p.5/11

17 [ ] f(x,y,z) f = div (grad f) = ( f) = 2 x y z (Laplacian) 2. p.5/11

18 [ ] f(x,y,z) f = div (grad f) = ( f) = 2 x y z (Laplacian) 2 [ ]. p.5/11

19 [ ] f(x,y,z) f = div (grad f) = ( f) = 2 x y z (Laplacian) 2 [ ] T(x,y,z). p.5/11

20 [ ] f(x,y,z) f = div (grad f) = ( f) = 2 x y z (Laplacian) 2 [ ] T(x,y,z). p.5/11

21 [ ] f(x,y,z) f = div (grad f) = ( f) = 2 x y z (Laplacian) 2 [ ] T(x,y,z) h = κ grad T ( κ ). p.5/11

22 [ ] f(x,y,z) f = div (grad f) = ( f) = 2 x y z (Laplacian) 2 [ ] T(x,y,z) h = κ grad T ( κ ) div( κ grad T) = κ T ( +κ T). p.5/11

23 [ ] f(x,y,z) f = div (grad f) = ( f) = 2 x y z (Laplacian) 2 [ ] T(x,y,z) h = κ grad T ( κ ) div( κ grad T) = κ T ( +κ T) ( ) T t = κ T. p.5/11

24 [ ] ( F F (rotation) F3 rot F = y F 2 F 1 z, z F 3 F 2 x, x F ) 1 = F y. p.6/11

25 [ ] ( F F (rotation) F3 rot F = y F 2 F 1 z, z F 3 F 2 x, x F ) 1 = F y. p.6/11

26 [ ] ( F F (rotation) F3 rot F = y F 2 F 1 z, z F 3 F 2 x, x F ) 1 = F y z y-z (x,y,z) h. p.6/11

27 [ ] ( F F (rotation) F3 rot F = y F 2 F 1 z, z F 3 F 2 x, x F ) 1 = F y z y-z (x,y,z) h z h { F 2 (x+ h,y,z) F 2 2(x h,y,z) F 2 1(x,y+ h,z)+f 2 1(x,y h,z)} +( ) 2. p.6/11

28 [ ] ( F F (rotation) F3 rot F = y F 2 F 1 z, z F 3 F 2 x, x F ) 1 = F y z y-z (x,y,z) h z h { F 2 (x+ h,y,z) F 2 2(x h,y,z) F 2 1(x,y+ h,z)+f 2 1(x,y h,z)} +( ) 2 =h {( F 2 (x,y,z)+ hf 2 2x(x,y,z) ) ( F 2 (x,y,z)+( h)f 2 2x(x,y,z) )} h {( F 1 (x,y,z)+ hf 2 1y(x,y,z) ) ( F 1 (x,y,z)+( h)f 2 1y(x,y,z) )} +( ). p.6/11

29 [ ] ( F F (rotation) F3 rot F = y F 2 F 1 z, z F 3 F 2 x, x F ) 1 = F y z y-z (x,y,z) h z h { F 2 (x+ h,y,z) F 2 2(x h,y,z) F 2 1(x,y+ h,z)+f 2 1(x,y h,z)} +( ) 2 =h {( F 2 (x,y,z)+ hf 2 2x(x,y,z) ) ( F 2 (x,y,z)+( h)f 2 2x(x,y,z) )} h {( F 1 (x,y,z)+ hf 2 1y(x,y,z) ) ( F 1 (x,y,z)+( h)f 2 1y(x,y,z) )} +( ) = h 2 {F 2x (x,y,z) F 1y (x,y,z)} +( ). p.6/11

30 h 2 h 0. p.7/11

31 h 2 h 0 (x,y,z) z- F 2 x F 1 y. p.7/11

32 h 2 h 0 (x,y,z) z- F 2 x F 1 y( F3 rot F = y F 2 F 1 z, z F 3 F 2 x, x F ) 1 y. p.7/11

33 h 2 h 0 (x,y,z) z- F 2 x F 1 y( F3 rot F = y F 2 F 1 z, z F 3 F 2 x, x F ) 1 y [ ]. p.7/11

34 h 2 h 0 (x,y,z) z- F 2 x F 1 y( F3 rot F = y F 2 F 1 z, z F 3 F 2 x, x F ) 1 y [ ]. p.8/11

35 h 2 h 0 (x,y,z) z- F 2 x F 1 y( F3 rot F = y F 2 F 1 z, z F 3 F 2 x, x F ) 1 y [ ] E = ρ ε 0, E = B t, B = 0, c2 B = E t + 1 ε 0 J E : B : J : ε 0 : c :. p.8/11

36 [ ]. p.9/11

37 [ ] F F = gradf f f F. p.10/11

38 [ ] F F = gradf f f F F F = rot f f f F. p.10/11

39 p.60 7 p p.11/11

. p.1/14

. p.1/14 . p.1/14 F(x,y) = (F 1 (x,y),f 2 (x,y)) (x,y). p.2/14 F(x,y) = (F 1 (x,y),f 2 (x,y)) (x,y) (x,y) h. p.2/14 F(x,y) = (F 1 (x,y),f 2 (x,y)) (x,y) (x,y) h h { F 2 (x+ h,y) F 2 2(x h,y) F 2 1(x,y+ h)+f 2 1(x,y

More information

f(x,y) (x,y) x (x,y), y (x,y) f(x,y) x y f x (x,y),f y (x,y) B p.1/14

f(x,y) (x,y) x (x,y), y (x,y) f(x,y) x y f x (x,y),f y (x,y) B p.1/14 B p.1/14 f(x,y) (x,y) x (x,y), y (x,y) f(x,y) x y f x (x,y),f y (x,y) B p.1/14 f(x,y) (x,y) x (x,y), y (x,y) f(x,y) x y f x (x,y),f y (x,y) f(x 1,...,x n ) (x 1 x 0,...,x n 0), (x 1,...,x n ) i x i f xi

More information

untitled

untitled F(r)=QE(r) Q ρ( r ') 3 E= ke 3 ( r r ') d r ' V r r' () Er () = Fr Q E E x y Ez ρ = x y z ε E E z y Ex E E z y Ex =, =, = y z z x x y A A x y Az diva = x y z A A z y A A x A z y Ax rot A =,, y z z x x

More information

II ( ) (7/31) II ( [ (3.4)] Navier Stokes [ (6/29)] Navier Stokes 3 [ (6/19)] Re

II ( ) (7/31) II (  [ (3.4)] Navier Stokes [ (6/29)] Navier Stokes 3 [ (6/19)] Re II 29 7 29-7-27 ( ) (7/31) II (http://www.damp.tottori-u.ac.jp/~ooshida/edu/fluid/) [ (3.4)] Navier Stokes [ (6/29)] Navier Stokes 3 [ (6/19)] Reynolds [ (4.6), (45.8)] [ p.186] Navier Stokes I Euler Navier

More information

( 12 ( ( ( ( Levi-Civita grad div rot ( ( = 4 : 6 3 1 1.1 f(x n f (n (x, d n f(x (1.1 dxn f (2 (x f (x 1.1 f(x = e x f (n (x = e x d dx (fg = f g + fg (1.2 d dx d 2 dx (fg = f g + 2f g + fg 2... d n n

More information

橡点検記録(集約).PDF

橡点検記録(集約).PDF 942.8.8.8.7 671 86 11 1 9 9 9 1 1,792 7,23 2,483 1,324 2,198 7,23 82 7,23 6,327 9,22 9,713 8,525 8,554 9,22. 8,554. 1,79 9,713 95 947 8,525.. 944 671 81 7 17 1,29 1,225 1,241 1,25 1,375 9.3 23,264 25,

More information

7-12.dvi

7-12.dvi 26 12 1 23. xyz ϕ f(x, y, z) Φ F (x, y, z) = F (x, y, z) G(x, y, z) rot(grad ϕ) rot(grad f) H(x, y, z) div(rot Φ) div(rot F ) (x, y, z) rot(grad f) = rot f x f y f z = (f z ) y (f y ) z (f x ) z (f z )

More information

untitled

untitled 20 7 1 22 7 1 1 2 3 7 8 9 10 11 13 14 15 17 18 19 21 22 - 1 - - 2 - - 3 - - 4 - 50 200 50 200-5 - 50 200 50 200 50 200 - 6 - - 7 - () - 8 - (XY) - 9 - 112-10 - - 11 - - 12 - - 13 - - 14 - - 15 - - 16 -

More information

untitled

untitled 19 1 19 19 3 8 1 19 1 61 2 479 1965 64 1237 148 1272 58 183 X 1 X 2 12 2 15 A B 5 18 B 29 X 1 12 10 31 A 1 58 Y B 14 1 25 3 31 1 5 5 15 Y B 1 232 Y B 1 4235 14 11 8 5350 2409 X 1 15 10 10 B Y Y 2 X 1 X

More information

FX ) 2

FX ) 2 (FX) 1 1 2009 12 12 13 2009 1 FX ) 2 1 (FX) 2 1 2 1 2 3 2010 8 FX 1998 1 FX FX 4 1 1 (FX) () () 1998 4 1 100 120 1 100 120 120 100 20 FX 100 100 100 1 100 100 100 1 100 1 100 100 1 100 101 101 100 100

More information

120 9 I I 1 I 2 I 1 I 2 ( a) ( b) ( c ) I I 2 I 1 I ( d) ( e) ( f ) 9.1: Ampère (c) (d) (e) S I 1 I 2 B ds = µ 0 ( I 1 I 2 ) I 1 I 2 B ds =0. I 1 I 2

120 9 I I 1 I 2 I 1 I 2 ( a) ( b) ( c ) I I 2 I 1 I ( d) ( e) ( f ) 9.1: Ampère (c) (d) (e) S I 1 I 2 B ds = µ 0 ( I 1 I 2 ) I 1 I 2 B ds =0. I 1 I 2 9 E B 9.1 9.1.1 Ampère Ampère Ampère s law B S µ 0 B ds = µ 0 j ds (9.1) S rot B = µ 0 j (9.2) S Ampère Biot-Savart oulomb Gauss Ampère rot B 0 Ampère µ 0 9.1 (a) (b) I B ds = µ 0 I. I 1 I 2 B ds = µ 0

More information

Untitled

Untitled II 14 14-7-8 8/4 II (http://www.damp.tottori-u.ac.jp/~ooshida/edu/fluid/) [ (3.4)] Navier Stokes [ 6/ ] Navier Stokes 3 [ ] Reynolds [ (4.6), (45.8)] [ p.186] Navier Stokes I 1 balance law t (ρv i )+ j

More information

2 1 x 1.1: v mg x (t) = v(t) mv (t) = mg 0 x(0) = x 0 v(0) = v 0 x(t) = x 0 + v 0 t 1 2 gt2 v(t) = v 0 gt t x = x 0 + v2 0 2g v2 2g 1.1 (x, v) θ

2 1 x 1.1: v mg x (t) = v(t) mv (t) = mg 0 x(0) = x 0 v(0) = v 0 x(t) = x 0 + v 0 t 1 2 gt2 v(t) = v 0 gt t x = x 0 + v2 0 2g v2 2g 1.1 (x, v) θ 1 1 1.1 (Isaac Newton, 1642 1727) 1. : 2. ( ) F = ma 3. ; F a 2 t x(t) v(t) = x (t) v (t) = x (t) F 3 3 3 3 3 3 6 1 2 6 12 1 3 1 2 m 2 1 x 1.1: v mg x (t) = v(t) mv (t) = mg 0 x(0) = x 0 v(0) = v 0 x(t)

More information

2.5 (Gauss) (flux) v(r)( ) S n S v n v n (1) v n S = v n S = v S, n S S. n n S v S v Minoru TANAKA (Osaka Univ.) I(2012), Sec p. 1/30

2.5 (Gauss) (flux) v(r)( ) S n S v n v n (1) v n S = v n S = v S, n S S. n n S v S v Minoru TANAKA (Osaka Univ.) I(2012), Sec p. 1/30 2.5 (Gauss) 2.5.1 (flux) v(r)( ) n v n v n (1) v n = v n = v, n. n n v v I(2012), ec. 2. 5 p. 1/30 i (2) lim v(r i ) i = v(r) d. i 0 i (flux) I(2012), ec. 2. 5 p. 2/30 2.5.2 ( ) ( ) q 1 r 2 E 2 q r 1 E

More information

( 23 )

( 23 ) ( 23 ) 2 9 11 16 21........................................... 21........................................... 24........................................... 28...........................................

More information

1.1 1 A

1.1 1 A . A..2 2 2. () (xyz) ( xyz) ( xy z) = (x x)yz ( xy z) = yz ( xy z) = y(z ( x z)) = y((z x)(z z)) = y( x z) (2) (3) M aj (x, y, M aj ( x, ȳ, z)) = xy ȳm aj ( x, ȳ, z) M aj ( x, ȳ, z)x M aj (x, y, z) x =

More information

12 2 E ds = 1 ρdv ε 1 µ D D S S D B d S = 36 E d B l = S d S B d l = S ε E + J d S 4 4 div E = 1 ε ρ div B = rot E = B 1 rot µ E B = ε + J 37 3.2 3.2.

12 2 E ds = 1 ρdv ε 1 µ D D S S D B d S = 36 E d B l = S d S B d l = S ε E + J d S 4 4 div E = 1 ε ρ div B = rot E = B 1 rot µ E B = ε + J 37 3.2 3.2. 213 12 1 21 5 524 3-5465-74 nkiyono@mail.ecc.u-tokyo.ac.jp http://lecture.ecc.u-tokyo.ac.jp/~nkiyono/index.html 3 2 1 3.1 ρp, t EP, t BP, t JP, t 35 P t xyz xyz t 4 ε µ D D S S 35 D H D = ε E B = µ H E

More information

II 2 II

II 2 II II 2 II 2005 yugami@cc.utsunomiya-u.ac.jp 2005 4 1 1 2 5 2.1.................................... 5 2.2................................. 6 2.3............................. 6 2.4.................................

More information

untitled

untitled 20010916 22;1017;23;20020108;15;20; 1 N = {1, 2, } Z + = {0, 1, 2, } Z = {0, ±1, ±2, } Q = { p p Z, q N} R = { lim a q n n a n Q, n N; sup a n < } R + = {x R x 0} n = {a + b 1 a, b R} u, v 1 R 2 2 R 3

More information

b3e2003.dvi

b3e2003.dvi 15 II 5 5.1 (1) p, q p = (x + 2y, xy, 1), q = (x 2 + 3y 2, xyz, ) (i) p rotq (ii) p gradq D (2) a, b rot(a b) div [11, p.75] (3) (i) f f grad f = 1 2 grad( f 2) (ii) f f gradf 1 2 grad ( f 2) rotf 5.2

More information

δ ij δ ij ˆx ˆx ŷ ŷ ẑ ẑ 0, ˆx ŷ ŷ ˆx ẑ, ŷ ẑ ẑ ŷ ẑ, ẑ ˆx ˆx ẑ ŷ, a b a x ˆx + a y ŷ + a z ẑ b x ˆx + b

δ ij δ ij ˆx ˆx ŷ ŷ ẑ ẑ 0, ˆx ŷ ŷ ˆx ẑ, ŷ ẑ ẑ ŷ ẑ, ẑ ˆx ˆx ẑ ŷ, a b a x ˆx + a y ŷ + a z ẑ b x ˆx + b 23 2 2.1 n n r x, y, z ˆx ŷ ẑ 1 a a x ˆx + a y ŷ + a z ẑ 2.1.1 3 a iˆx i. 2.1.2 i1 i j k e x e y e z 3 a b a i b i i 1, 2, 3 x y z ˆx i ˆx j δ ij, 2.1.3 n a b a i b i a i b i a x b x + a y b y + a z b

More information

46 4 E E E E E 0 0 E E = E E E = ) E =0 2) φ = 3) ρ =0 1) 0 2) E φ E = grad φ E =0 P P φ = E ds 0

46 4 E E E E E 0 0 E E = E E E = ) E =0 2) φ = 3) ρ =0 1) 0 2) E φ E = grad φ E =0 P P φ = E ds 0 4 4.1 conductor E E E 4.1: 45 46 4 E E E E E 0 0 E E = E E E =0 4.1.1 1) E =0 2) φ = 3) ρ =0 1) 0 2) E φ E = grad φ E =0 P P φ = E ds 0 4.1 47 0 0 3) ε 0 div E = ρ E =0 ρ =0 0 0 a Q Q/4πa 2 ) r E r 0 Gauss

More information

2 2 ( ) 28 4 6, 216 4 (http://nalab.mind.meiji.ac.jp/~mk/lecture/tahensuu2/) 1 3 1.1............................................. 3 1.1.1.................................... 3 1.1.2....................................

More information

1 B () Ver 2014 0 2014/10 2015/1 http://www-cr.scphys.kyoto-u.ac.jp/member/tsuru/lecture/... 1. ( ) 2. 3. 3 1 7 1.1..................................................... 7 1.2.............................................

More information

2.4 ( ) ( B ) A B F (1) W = B A F dr. A F q dr f(x,y,z) A B Γ( ) Minoru TANAKA (Osaka Univ.) I(2011), Sec p. 1/30

2.4 ( ) ( B ) A B F (1) W = B A F dr. A F q dr f(x,y,z) A B Γ( ) Minoru TANAKA (Osaka Univ.) I(2011), Sec p. 1/30 2.4 ( ) 2.4.1 ( B ) A B F (1) W = B A F dr. A F q dr f(x,y,z) A B Γ( ) I(2011), Sec. 2. 4 p. 1/30 (2) Γ f dr lim f i r i. r i 0 i f i i f r i i i+1 (1) n i r i (3) F dr = lim F i n i r i. Γ r i 0 i n i

More information

20 200302878 1 5 2 7 2.1........................... 7 2.1.1 TBIR............................... 7 2.1.2 CBIR............................... 9 2.2............................... 10 2.2.1 2...............................

More information

i

i 009 I 1 8 5 i 0 1 0.1..................................... 1 0.................................................. 1 0.3................................. 0.4........................................... 3

More information

II 2 ( )

II 2 ( ) II 2 ( 26 1 1 1 3 1.1....................................... 3 1.1.1.............................. 3 1.1.2.............................. 4 1.1.3..................... 5 1.2 : R 3...............................

More information

3345 チュートリアル 1 HP テンソル代数 テンソル解析 - - 連続体力学の数理的基礎 - 第 4 講テンソル解析 - テンソル場の微積分 - 登坂宣好 第 4 講概要 2, 3 1 筆者紹介 1971 Engineering Science gradient divergence rota

3345 チュートリアル 1 HP テンソル代数 テンソル解析 - - 連続体力学の数理的基礎 - 第 4 講テンソル解析 - テンソル場の微積分 - 登坂宣好 第 4 講概要 2, 3 1 筆者紹介 1971 Engineering Science gradient divergence rota 3345 チュートリアル 1 HP テンソル代数 テンソル解析 - - 連続体力学の数理的基礎 - 第 4 講テンソル解析 - テンソル場の微積分 - 登坂宣好 第 4 講概要 2, 3 1 筆者紹介 1971 Engineering cience gradient divergence rotation nabla 3 1 2 3 4 5 6 ol.20, No.4 2015 27 1 [1,2]

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

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

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

F S S S S S S S 32 S S S 32: S S rot F ds = F d l (63) S S S 0 F rot F ds = 0 S (63) S rot F S S S S S rot F F (63)

F S S S S S S S 32 S S S 32: S S rot F ds = F d l (63) S S S 0 F rot F ds = 0 S (63) S rot F S S S S S rot F F (63) 211 12 1 19 2.9 F 32 32: rot F d = F d l (63) F rot F d = 2.9.1 (63) rot F rot F F (63) 12 2 F F F (63) 33 33: (63) rot 2.9.2 (63) I = [, 1] [, 1] 12 3 34: = 1 2 1 2 1 1 = C 1 + C C 2 2 2 = C 2 + ( C )

More information

sin.eps

sin.eps 9 ( 9 4 7 ) : 3. 3 5 ( ). 3 ( ) (Maxwell).3 (= ) 4.4 x y(x) dy =3 y(x) =3x dx y(x) =3x + y(x) =3x + y(x) =3x + /m OK.5 .6. 5 3 ( ).6 5 5 ( ) +3 m+3kg m 3kg ( ) I(MKA ) m,kg,s(sec),a 4 4 ( ) m kg s 3 A

More information

B 38 1 (x, y), (x, y, z) (x 1, x 2 ) (x 1, x 2, x 3 ) 2 : x 2 + y 2 = 1. (parameter) x = cos t, y = sin t. y = f(x) r(t) = (x(t), y(t), z(t)), a t b.

B 38 1 (x, y), (x, y, z) (x 1, x 2 ) (x 1, x 2, x 3 ) 2 : x 2 + y 2 = 1. (parameter) x = cos t, y = sin t. y = f(x) r(t) = (x(t), y(t), z(t)), a t b. 2009 7 9 1 2 2 2 3 6 4 9 5 14 6 18 7 23 8 25 9 26 10 29 11 32 12 35 A 37 1 B 38 1 (x, y), (x, y, z) (x 1, x 2 ) (x 1, x 2, x 3 ) 2 : x 2 + y 2 = 1. (parameter) x = cos t, y = sin t. y = f(x) r(t) = (x(t),

More information

.5 z = a + b + c n.6 = a sin t y = b cos t dy d a e e b e + e c e e e + e 3 s36 3 a + y = a, b > b 3 s363.7 y = + 3 y = + 3 s364.8 cos a 3 s365.9 y =,

.5 z = a + b + c n.6 = a sin t y = b cos t dy d a e e b e + e c e e e + e 3 s36 3 a + y = a, b > b 3 s363.7 y = + 3 y = + 3 s364.8 cos a 3 s365.9 y =, [ ] IC. r, θ r, θ π, y y = 3 3 = r cos θ r sin θ D D = {, y ; y }, y D r, θ ep y yddy D D 9 s96. d y dt + 3dy + y = cos t dt t = y = e π + e π +. t = π y =.9 s6.3 d y d + dy d + y = y =, dy d = 3 a, b

More information

コロナ社 Q&A Question and Answer Q&A

コロナ社 Q&A Question and Answer Q&A Q&A Question and Answer Q&A ii Q&A 1999 Q&A Q&A Q&A 8 Q&A 2007 2 1. 1.1... 1 1.1.1... 1 1.1.2... 6 1.2... 7 1.2.1... 7 1.2.2... 11 1.3... 18 1.3.1... 18 1.3.2... 20... 25 2. 2.1... 26 2.2... 33... 38 3.

More information

応用数学特論.dvi

応用数学特論.dvi 1 1 1.1.1 ( ). P,Q,R,.... 2+3=5 2 1.1.2 ( ). P T (true) F (false) T F P P T P. T 2 F 1.1.3 ( ). 2 P Q P Q P Q P Q P or Q P Q P Q P Q T T T T F T F T T F F F. P = 5 4 Q = 3 2 P Q = 5 4 3 2 P F Q T P Q T

More information

A

A A04-164 2008 2 13 1 4 1.1.......................................... 4 1.2..................................... 4 1.3..................................... 4 1.4..................................... 5 2

More information

x = a 1 f (a r, a + r) f(a) r a f f(a) 2 2. (a, b) 2 f (a, b) r f(a, b) r (a, b) f f(a, b)

x = a 1 f (a r, a + r) f(a) r a f f(a) 2 2. (a, b) 2 f (a, b) r f(a, b) r (a, b) f f(a, b) 2011 I 2 II III 17, 18, 19 7 7 1 2 2 2 1 2 1 1 1.1.............................. 2 1.2 : 1.................... 4 1.2.1 2............................... 5 1.3 : 2.................... 5 1.3.1 2.....................................

More information

G:/SHIRAFUJI/テキスト類/EM1999/ALL/em99ps.dvi

G:/SHIRAFUJI/テキスト類/EM1999/ALL/em99ps.dvi 1999 1999 12 17 Contents 1 9 1.1........................ 9 1.2 (Cartesian )..................... 9 1.3........................ 10 1.4............................. 11 1.5............................. 12

More information

1 filename=mathformula tex 1 ax 2 + bx + c = 0, x = b ± b 2 4ac, (1.1) 2a x 1 + x 2 = b a, x 1x 2 = c a, (1.2) ax 2 + 2b x + c = 0, x = b ± b 2

1 filename=mathformula tex 1 ax 2 + bx + c = 0, x = b ± b 2 4ac, (1.1) 2a x 1 + x 2 = b a, x 1x 2 = c a, (1.2) ax 2 + 2b x + c = 0, x = b ± b 2 filename=mathformula58.tex ax + bx + c =, x = b ± b 4ac, (.) a x + x = b a, x x = c a, (.) ax + b x + c =, x = b ± b ac. a (.3). sin(a ± B) = sin A cos B ± cos A sin B, (.) cos(a ± B) = cos A cos B sin

More information

7. y fx, z gy z gfx dz dx dz dy dy dx. g f a g bf a b fa 7., chain ule Ω, D R n, R m a Ω, f : Ω R m, g : D R l, fω D, b fa, f a g b g f a g f a g bf a

7. y fx, z gy z gfx dz dx dz dy dy dx. g f a g bf a b fa 7., chain ule Ω, D R n, R m a Ω, f : Ω R m, g : D R l, fω D, b fa, f a g b g f a g f a g bf a 9 203 6 7 WWW http://www.math.meiji.ac.jp/~mk/lectue/tahensuu-203/ 2 8 8 7. 7 7. y fx, z gy z gfx dz dx dz dy dy dx. g f a g bf a b fa 7., chain ule Ω, D R n, R m a Ω, f : Ω R m, g : D R l, fω D, b fa,

More information

微粒子合成化学・講義

微粒子合成化学・講義 http://www.tagen.tohoku.ac.jp/labo/muramatsu/mura/main.html E-mail: mura@tagen.tohoku.ac.jp 1 Derjaguin Landau Verway Overbeek B.V.Derjaguin and L.Landau;Acta Physicochim.,URSS, 14, 633 1941. E.J.W.Verwey

More information

I II Morse 1998

I II Morse 1998 I II Morse 1998 1 Morse 1 1.1.............................. 1 1.2......................... 8 1.3......................... 16 1.4 Morse................................. 20 1.5........................................

More information

微粒子合成化学・講義

微粒子合成化学・講義 http://www.tagen.tohoku.ac.jp/labo/muramatsu/mura/main.html E-mail: mura@tagen.tohoku.ac.jp 1 2 1 mol/l KCl 3 4 Derjaguin Landau Verway Overbeek B.V.Derjaguin and L.Landau;Acta Physicochim.,URSS, 14, 633

More information

tomocci ,. :,,,, Lie,,,, Einstein, Newton. 1 M n C. s, M p. M f, p d ds f = dxµ p ds µ f p, X p = X µ µ p = dxµ ds µ p. µ, X µ.,. p,. T M p.

tomocci ,. :,,,, Lie,,,, Einstein, Newton. 1 M n C. s, M p. M f, p d ds f = dxµ p ds µ f p, X p = X µ µ p = dxµ ds µ p. µ, X µ.,. p,. T M p. tomocci 18 7 5...,. :,,,, Lie,,,, Einstein, Newton. 1 M n C. s, M p. M f, p d ds f = dxµ p ds µ f p, X p = X µ µ p = dxµ ds µ p. µ, X µ.,. p,. T M p. M F (M), X(F (M)).. T M p e i = e µ i µ. a a = a i

More information

1. A0 A B A0 A : A1,...,A5 B : B1,...,B12 2. 5 3. 4. 5. A0 (1) A, B A B f K K A ϕ 1, ϕ 2 f ϕ 1 = f ϕ 2 ϕ 1 = ϕ 2 (2) N A 1, A 2, A 3,... N A n X N n X N, A n N n=1 1 A1 d (d 2) A (, k A k = O), A O. f

More information

CALCULUS II (Hiroshi SUZUKI ) f(x, y) A(a, b) 1. P (x, y) A(a, b) A(a, b) f(x, y) c f(x, y) A(a, b) c f(x, y) c f(x, y) c (x a, y b)

CALCULUS II (Hiroshi SUZUKI ) f(x, y) A(a, b) 1. P (x, y) A(a, b) A(a, b) f(x, y) c f(x, y) A(a, b) c f(x, y) c f(x, y) c (x a, y b) CALCULUS II (Hiroshi SUZUKI ) 16 1 1 1.1 1.1 f(x, y) A(a, b) 1. P (x, y) A(a, b) A(a, b) f(x, y) c f(x, y) A(a, b) c f(x, y) c f(x, y) c (x a, y b) lim f(x, y) = lim f(x, y) = lim f(x, y) = c. x a, y b

More information

CG38.PDF

CG38.PDF ............3...3...6....6....8.....8.....4...9 3....9 3.... 3.3...4 3.4...36...39 4....39 4.....39 4.....4 4....49 4.....5 4.....57...64 5....64 5....66 5.3...68 5.4...7 5.5...77...8 6....8 6.....8 6.....83

More information

Kroneher Levi-Civita 1 i = j δ i j = i j 1 if i jk is an even permutation of 1,2,3. ε i jk = 1 if i jk is an odd permutation of 1,2,3. otherwise. 3 4

Kroneher Levi-Civita 1 i = j δ i j = i j 1 if i jk is an even permutation of 1,2,3. ε i jk = 1 if i jk is an odd permutation of 1,2,3. otherwise. 3 4 [2642 ] Yuji Chinone 1 1-1 ρ t + j = 1 1-1 V S ds ds Eq.1 ρ t + j dv = ρ t dv = t V V V ρdv = Q t Q V jdv = j ds V ds V I Q t + j ds = ; S S [ Q t ] + I = Eq.1 2 2 Kroneher Levi-Civita 1 i = j δ i j =

More information

ユニセフ表紙_CS6_三.indd

ユニセフ表紙_CS6_三.indd 16 179 97 101 94 121 70 36 30,552 1,042 100 700 61 32 110 41 15 16 13 35 13 7 3,173 41 1 4,700 77 97 81 47 25 26 24 40 22 14 39,208 952 25 5,290 71 73 x 99 185 9 3 3 3 8 2 1 79 0 d 1 226 167 175 159 133

More information

i E B Maxwell Maxwell Newton Newton Schrödinger Newton Maxwell Kepler Maxwell Maxwell B H B ii Newton i 1 1.1.......................... 1 1.2 Coulomb.......................... 2 1.3.........................

More information

5.. z = f(x, y) y y = b f x x g(x) f(x, b) g x ( ) A = lim h 0 g(a + h) g(a) h g(x) a A = g (a) = f x (a, b)

5.. z = f(x, y) y y = b f x x g(x) f(x, b) g x ( ) A = lim h 0 g(a + h) g(a) h g(x) a A = g (a) = f x (a, b) 5 partial differentiation (total) differentiation 5. z = f(x, y) (a, b) A = lim h 0 f(a + h, b) f(a, b) h............................................................... ( ) f(x, y) (a, b) x A (a, b) x

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

25 II :30 16:00 (1),. Do not open this problem booklet until the start of the examination is announced. (2) 3.. Answer the following 3 proble

25 II :30 16:00 (1),. Do not open this problem booklet until the start of the examination is announced. (2) 3.. Answer the following 3 proble 25 II 25 2 6 13:30 16:00 (1),. Do not open this problem boolet until the start of the examination is announced. (2) 3.. Answer the following 3 problems. Use the designated answer sheet for each problem.

More information

y π π O π x 9 s94.5 y dy dx. y = x + 3 y = x logx + 9 s9.6 z z x, z y. z = xy + y 3 z = sinx y 9 s x dx π x cos xdx 9 s93.8 a, fx = e x ax,. a =

y π π O π x 9 s94.5 y dy dx. y = x + 3 y = x logx + 9 s9.6 z z x, z y. z = xy + y 3 z = sinx y 9 s x dx π x cos xdx 9 s93.8 a, fx = e x ax,. a = [ ] 9 IC. dx = 3x 4y dt dy dt = x y u xt = expλt u yt λ u u t = u u u + u = xt yt 6 3. u = x, y, z = x + y + z u u 9 s9 grad u ux, y, z = c c : grad u = u x i + u y j + u k i, j, k z x, y, z grad u v =

More information

koji07-02.dvi

koji07-02.dvi 007 I II III 1,, 3, 4, 5, 6, 7 5 4 1 ε-n 1 ε-n ε-n ε-n. {a } =1 a ε N N a a N= a a

More information

³ÎΨÏÀ

³ÎΨÏÀ 2017 12 12 Makoto Nakashima 2017 12 12 1 / 22 2.1. C, D π- C, D. A 1, A 2 C A 1 A 2 C A 3, A 4 D A 1 A 2 D Makoto Nakashima 2017 12 12 2 / 22 . (,, L p - ). Makoto Nakashima 2017 12 12 3 / 22 . (,, L p

More information

7. 曲面上の積分 (1) ここでは曲面上の積分を学びます. 微分幾何とは点の周りの状態を調べる学問 ( 曲面の局部理論 ) ですが, ガウス ボンネの定理が示すように曲面全体の状況すなわち大域的な内容を研究することも大切です. 曲面の大域的な内容を扱うには当然積分が必要です. ここでは曲面上の積分

7. 曲面上の積分 (1) ここでは曲面上の積分を学びます. 微分幾何とは点の周りの状態を調べる学問 ( 曲面の局部理論 ) ですが, ガウス ボンネの定理が示すように曲面全体の状況すなわち大域的な内容を研究することも大切です. 曲面の大域的な内容を扱うには当然積分が必要です. ここでは曲面上の積分 7. 曲面上の積分 (1) ここでは曲面上の積分を学びます. 微分幾何とは点の周りの状態を調べる学問 ( 曲面の局部理論 ) ですが, ガウス ボンネの定理が示すように曲面全体の状況すなわち大域的な内容を研究することも大切です. 曲面の大域的な内容を扱うには当然積分が必要です. ここでは曲面上の積分について分かりやすく解説します. すなわち, 微分積分で学ぶグリーンの公式やラプラス作用素の意味を曲面上できちんと理解することが目標です.

More information

,.,. 2, R 2, ( )., I R. c : I R 2, : (1) c C -, (2) t I, c (t) (0, 0). c(i). c (t)., c(t) = (x(t), y(t)) c (t) = (x (t), y (t)) : (1)

,.,. 2, R 2, ( )., I R. c : I R 2, : (1) c C -, (2) t I, c (t) (0, 0). c(i). c (t)., c(t) = (x(t), y(t)) c (t) = (x (t), y (t)) : (1) ( ) 1., : ;, ;, ; =. ( ).,.,,,., 2.,.,,.,.,,., y = f(x), f ( ).,,.,.,., U R m, F : U R n, M, f : M R p M, p,, R m,,, R m. 2009 A tamaru math.sci.hiroshima-u.ac.jp 1 ,.,. 2, R 2, ( ).,. 2.1 2.1. I R. c

More information

微分積分学2

微分積分学2 ver. 6 8 8 f f G f fx df x fx dx fx, y f G f x, y, z z fx, y G f fx, y fx, y fx, y x a y ψy fa, y y b x φx fx, b x φx fx, y f x, b x y ψy fx, y f a, y y fx, y R x, y a x b, c y d fx, y G f xy R f x, y,

More information

http://www2.math.kyushu-u.ac.jp/~hara/lectures/lectures-j.html 2 N(ε 1 ) N(ε 2 ) ε 1 ε 2 α ε ε 2 1 n N(ɛ) N ɛ ɛ- (1.1.3) n > N(ɛ) a n α < ɛ n N(ɛ) a n

http://www2.math.kyushu-u.ac.jp/~hara/lectures/lectures-j.html 2 N(ε 1 ) N(ε 2 ) ε 1 ε 2 α ε ε 2 1 n N(ɛ) N ɛ ɛ- (1.1.3) n > N(ɛ) a n α < ɛ n N(ɛ) a n http://www2.math.kyushu-u.ac.jp/~hara/lectures/lectures-j.html 1 1 1.1 ɛ-n 1 ɛ-n lim n a n = α n a n α 2 lim a n = 1 n a k n n k=1 1.1.7 ɛ-n 1.1.1 a n α a n n α lim n a n = α ɛ N(ɛ) n > N(ɛ) a n α < ɛ

More information

A

A A05-132 2010 2 11 1 1 3 1.1.......................................... 3 1.2..................................... 3 1.3..................................... 3 2 4 2.1............................... 4 2.2

More information

II Time-stamp: <05/09/30 17:14:06 waki> ii

II Time-stamp: <05/09/30 17:14:06 waki> ii II waki@cc.hirosaki-u.ac.jp 18 1 30 II Time-stamp: ii 1 1 1.1.................................................. 1 1.2................................................... 3 1.3..................................................

More information

液晶の物理1:連続体理論(弾性,粘性)

液晶の物理1:連続体理論(弾性,粘性) The Physics of Liquid Crystals P. G. de Gennes and J. Prost (Oxford University Press, 1993) Liquid crystals are beautiful and mysterious; I am fond of them for both reasons. My hope is that some readers

More information

B 1 B.1.......................... 1 B.1.1................. 1 B.1.2................. 2 B.2........................... 5 B.2.1.......................... 5 B.2.2.................. 6 B.2.3..................

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

ii 4 5 RLC 2 LC LC OTA, FDNR 6

ii 4 5 RLC 2 LC LC OTA, FDNR 6 There is nothing more practical than a good theory. James Clerk Maxwell ( 1831 1879) 1.1 1.1 2 3 MOSFET 3 MOSFET MOS CMOS CMOS CMOS ii 4 5 RLC 2 LC LC OTA, FDNR 6 iii 1 (90 30 ) 6 5 1 1 2013 3 1. 1.1...

More information

housoku.dvi

housoku.dvi : 1 :, 2002 07 14 1 3 11 3 12 : 3 13 : 5 14 6 141 6 142 8 143 8 144 8 145 9 2 10 21 10 : 2 22 11 23 11 24 11 A : 12 B 14 C 15 ( ) ( ) ( ),, (,, ) 2,, : 1 3 1 11 (t),, ρv 0 (1) t (t) ( A ) ( ) ρ (t) t +ρ

More information

numb.dvi

numb.dvi 11 Poisson kanenko@mbkniftycom alexeikanenko@docomonejp http://wwwkanenkocom/ , u = f, ( u = u+f u t, u = f t ) 1 D R 2 L 2 (D) := {f(x,y) f(x,y) 2 dxdy < )} D D f,g L 2 (D) (f,g) := f(x,y)g(x,y)dxdy (L

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

,.,, L p L p loc,, 3., L p L p loc, Lp L p loc.,.,,.,.,.,, L p, 1 p, L p,. d 1, R d d. E R d. (E, M E, µ)., L p = L p (E). 1 p, E f(x), f(x) p d

,.,, L p L p loc,, 3., L p L p loc, Lp L p loc.,.,,.,.,.,, L p, 1 p, L p,. d 1, R d d. E R d. (E, M E, µ)., L p = L p (E). 1 p, E f(x), f(x) p d 1 L p L p loc, L p L p loc, Lp L p loc,., 1 p.,. L p L p., L 1, L 1., L p, L p. L 1., L 1 L 1. L p L p loc L p., L 2 L 2 loc,.,. L p L p loc L p., L p L p loc., L p L p loc 1 ,.,, L p L p loc,, 3., L p

More information

all.dvi

all.dvi 38 5 Cauchy.,,,,., σ.,, 3,,. 5.1 Cauchy (a) (b) (a) (b) 5.1: 5.1. Cauchy 39 F Q Newton F F F Q F Q 5.2: n n ds df n ( 5.1). df n n df(n) df n, t n. t n = df n (5.1) ds 40 5 Cauchy t l n mds df n 5.3: t

More information

211 kotaro@math.titech.ac.jp 1 R *1 n n R n *2 R n = {(x 1,..., x n ) x 1,..., x n R}. R R 2 R 3 R n R n R n D D R n *3 ) (x 1,..., x n ) f(x 1,..., x n ) f D *4 n 2 n = 1 ( ) 1 f D R n f : D R 1.1. (x,

More information

1 I 1.1 ± e = = - = C C MKSA [m], [Kg] [s] [A] 1C 1A 1 MKSA 1C 1C +q q +q q 1

1 I 1.1 ± e = = - = C C MKSA [m], [Kg] [s] [A] 1C 1A 1 MKSA 1C 1C +q q +q q 1 1 I 1.1 ± e = = - =1.602 10 19 C C MKA [m], [Kg] [s] [A] 1C 1A 1 MKA 1C 1C +q q +q q 1 1.1 r 1,2 q 1, q 2 r 12 2 q 1, q 2 2 F 12 = k q 1q 2 r 12 2 (1.1) k 2 k 2 ( r 1 r 2 ) ( r 2 r 1 ) q 1 q 2 (q 1 q 2

More information

Morse ( ) 2014

Morse ( ) 2014 Morse ( ) 2014 1 1 Morse 1 1.1 Morse................................ 1 1.2 Morse.............................. 7 2 12 2.1....................... 12 2.2.................. 13 2.3 Smale..............................

More information

2

2 2007 8 12 1 Q&A Q1 A 2007 6 29 2008 1 1 14 1 12 1 2 3 1 1 13 1 2 15 1 1 2 Q2 A 627 1 20 1 1 3 15 2003 18 2 3 4 5 3 406 44 2 1997 7 16 5 1 1 15 4 52 1 31 268 17 5 60 55 50 1999 3 9 1999 3 39 40 44 100 1

More information

( : December 27, 2015) CONTENTS I. 1 II. 2 III. 2 IV. 3 V. 5 VI. 6 VII. 7 VIII. 9 I. 1 f(x) f (x) y = f(x) x ϕ(r) (gradient) ϕ(r) (gradϕ(r) ) ( ) ϕ(r)

( : December 27, 2015) CONTENTS I. 1 II. 2 III. 2 IV. 3 V. 5 VI. 6 VII. 7 VIII. 9 I. 1 f(x) f (x) y = f(x) x ϕ(r) (gradient) ϕ(r) (gradϕ(r) ) ( ) ϕ(r) ( : December 27, 215 CONTENTS I. 1 II. 2 III. 2 IV. 3 V. 5 VI. 6 VII. 7 VIII. 9 I. 1 f(x f (x y f(x x ϕ(r (gradient ϕ(r (gradϕ(r ( ϕ(r r ϕ r xi + yj + zk ϕ(r ϕ(r x i + ϕ(r y j + ϕ(r z k (1.1 ϕ(r ϕ(r i

More information

elemag.dvi

elemag.dvi II 2006 1 24 i 1 3 1.1... 3 1.2... 5 1.3... 6 1.4... 6 1.5 (Gauss)... 7 1.5.1... 8 1.5.2 (Green)... 9 1.6 (Stokes)... 9 2 11 2.1... 11 2.2... 12 2.3... 13 2.4... 14 2.4.1... 15 2.4.2... 15 2.4.3... 16

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

Ver.1.0.1-1512 1. 03 2. 04 3. 05 05 4. 06 07 5. 08 6. 09 10 11 12 14 7. 19 2 1. Plus / 3 2. 1 4 3. Plus 5 4. FX 6 4. 7 5. 1 200 3 8 6. 38 25 16 9 6. 10 6. 11 6. 38 / 12 6. 13 6. 25 14 6. 0 359 15 6. 3

More information

平成 22 年度 ( 第 32 回 ) 数学入門公開講座テキスト ( 京都大学数理解析研究所, 平成 ~8 22 月年 58 日開催月 2 日 ) V := {(x,y) x n + y n 1 = 0}, W := {(x,y,z) x 3 yz = x 2 y z 2

平成 22 年度 ( 第 32 回 ) 数学入門公開講座テキスト ( 京都大学数理解析研究所, 平成 ~8 22 月年 58 日開催月 2 日 ) V := {(x,y) x n + y n 1 = 0}, W := {(x,y,z) x 3 yz = x 2 y z 2 3 90 2006 1. V := {(x,y) x n + y n 1 = 0}, W := {(x,y,z) x 3 yz = x 2 y z 2 = xz y 2 = 0} V (x,y) n = 1 n = 2 (x,y) V n = 1 n = 2 (3/5,4/5),(5/13,12/13)... n 3 V (0,±1),(±1,0) ( ) n 3 x n + y n = z n,

More information

ユニセフ表紙_CS6_三.indd

ユニセフ表紙_CS6_三.indd 16 179 97 101 94 121 70 36 30,552 1,042 100 700 61 32 110 41 15 16 13 35 13 7 3,173 41 1 4,700 77 97 81 47 25 26 24 40 22 14 39,208 952 25 5,290 71 73 x 99 185 9 3 3 3 8 2 1 79 0 d 1 226 167 175 159 133

More information