ˆ CGE ž ž ˆ 2 CGE 2 1 ˆ n = 1,, n n ˆ k f = 1,, k ˆ ˆ ˆ 3

Size: px
Start display at page:

Download "ˆ CGE ž ž ˆ 2 CGE 2 1 ˆ n = 1,, n n ˆ k f = 1,, k ˆ ˆ ˆ 3"

Transcription

1 CGE 2 * Date: 2018/07/24, Verson * : Webste: 1

2 ˆ CGE ž ž ˆ 2 CGE 2 1 ˆ n = 1,, n n ˆ k f = 1,, k ˆ ˆ ˆ 3 2 2

3 n k y = f (x 1, x 2,, x n, v 1,, v k ) = f (x, v ) (1) y x v f f p f p F f π π = p f (x, v ) p x + p F f v f (2) f π f (x, v ) = p p = 0 x x (3) π f (x, v ) = p p F f = 0 v f v f (4) CGE n k u = g(d 1,, d n ) = g(d) (5) max u = g(d) (6) d s.t. p d = m (7) m d (p, m) 1 v f m = f p F f v f (8) 3

4 2. 1: y = (x, v ) {y } =1,,n f (x, v ) p p = 0 {x } =1,,n,=1,,n x f (x, v ) p p F f = 0 {v f } =1,,n,f=1,,k v f y = x + d (p, m) {p } =1,,n v f = v f {p F f } f=1,,k m = f p F f v f {m} y = x + d (p, m) (9) p v f = v f (10) p F f n + n n + n k + n + k + 1 = 2n + n 2 + nk + k + 1 {y } n {x } n n {v f } n k {p } n {p F f } k {m} CGE 4

5 2. n + n n + n k + n + k + 1 = 2n + n 2 + nk + k ˆ ˆ ˆ ˆ ˆ 1 CGE ˆ ˆ ˆ d (p, m)

6 ) 2) Walras' law 0 = p x + d (p, m) y (11) f p F f v f v f (12) VED VED = p x + d (p, m) y + f p F f v f v f (13) [ ] 0 (13) 0 (13) 0 (13) VED = p d (p, m) p F f v f p y p x + p F f v f (14) f f [ ] bndng 0 [ ] [ ] 0 1 : bndng 6

7 2. 2 : (14) 1 VED = p x + d (p, m) y + f p F f v f v f = 0 (15) k (15) p x + d (p, m) y + p F f v f v f = p F k v k v k f k n + k 1 v kf = v k k n + k n + k 1 n + k n + k n + n 2 + nk + k + 1 2n + n 2 + nk + k < 2n + n 2 + nk + k CGE 0 CGE 5 4 CGE CES 1 CGE 5 1 7

8 y x v f p pf f m λ > 0 p = λp pf f = λpf f m = λm y x v f p p F f m (3) (4) (9) 0 d ( p, m) = d (λp, λm ) = d (p, m ) (8) m = λm = λ f p F f v f = f λp F f v f = f p F f v f 0 6 CGE CGE CGE p 1 1 {p 2,, p n, p F 1,, p F m, m} 1 1 numerare {1, p + 2,, p+ n, p F + 1,, p F + m, m +, y +, x+, v+ f } {2, 2p + 2,, 2p+ n, 2p F + 1,, 2p F + m, 2m +, y +, x+, v+ f }

9 ˆ ˆ ˆ λ λ CGE 0 CGE CGE 0 CGE y = f (x 1, x 2,, x n, v 1,, v k ) = f (x, v ) (16) 7 9

10 2. CGE y = f y (x, v a ) (17) v a = f v (v ) (18) f y ( ) f v( ) f v( ) v a v a y = f (x, v ) y = f y (x, f v(v )) ˆ y = f y (x, v a) ˆ v a = f v(v ) π y = p f y (x, v a ) p x p va v a (19) p va π y x = p f y x p = 0 (20) π y v a = p f y v a 2 {x } v a p va = 0 (21) π va = p va f v (v ) f p F f v f π va v f = p va f v v f p F f = 0 v f 10

11 y = f y (x, f v (v )) 2: 2 y = f y (x, v a ) {y } =1,,n p f y (x, v a ) x p = 0 {x },=1,,n p f y (x, v a ) v a p va = 0 {v a } =1,,n p va f v(v ) p F f = 0 {v f } =1,,n,f=1,,k v f y = x + d (p, m) {p } =1,,n f v (v ) = v a {p va } =1,,n v f {p F f } f=1,,k v f = d m = f p F f v f {m} 3 2 dual approach CGE ˆ Mas-Colell et al. (1995) Varan (1992)? ˆ Dxt and Norman (1980) 11

12 c (p, p F ) mn z,z F p z + f p = {p 1,, p n } p F = {p F 1,, p F k } π = [ p c (p, p F ) ] y π y = p c (p, p F ) = 0 p F f zf f F (z, z F ) = 1 1 Shephard a (p, p F ) = c (p, p F ) p a F f(p, p F ) = c (p, p F ) p F f a (p, p F ) a F f (p, pf ) f a (p, p F )y a F f(p, p F )y 3.2 e(p, u) mn h [ ] p h g(h) = u m e(p, u) = m Shephard h (p, u) = e(p, u) p 2 m = f p F f v f 12

13 y = a (p, p F )y + h (p, u) v f = a F f(p, p F )y : p c (p, p F ) = 0 {y } =1,,n a = c (p, p F ) p {a } =1,,n,=1,,n a F f = c (p, p F ) p F f {a F f } f=1,,k,=1,,n e(p, u) h = {h } =1,,n p y = a y + h {p } =1,,n v f = a F fy {p F f } f=1,,k e(p, u) = m {u} m = p F f v f {m} f n + n 2 + nk + n + n + k = 3n + n 2 + nk + k + 2 {y } n {a } n 2 {a F f } nk {h } n {p } n {p F f } k {u} 1 {m} 1 n + n 2 + nk + n + n + k = 3n + n 2 + nk + k CGE 1) 2) CGE CGE 13

14 3. 4: c (p, p F ) = p e(p, u) = m a (p, p F ) = c (p, p F ) h (p, u) = p a F f(p, p F ) = c (p, p F ) p F f e(p, u) p CGE 4 CGE CGE CES CGE CES CGE CGE 14

15 3. CGE CGE MIT EPPA (Paltsev et al., 2005) 8 EPA ADAGE 9 ZEW PACE 10 CGE (, 2010) 11 AIM CGE CGE 12 CGE Thomas F. Rutherford Chrstoph Böhrnger CGE 13 CGE CGE 3.6 (17) (18) c y (p, pva ) mn z,z a p z + p va z a f y (z, z a ) = 1 π y = [p c y (p, pva )] y π y y = p c y (p, pva ) = 0 a (p, p va ) = cy (p, pva ) p a v (p, p va ) = cy (p, pva ) GAMS MPSGE MPSGE GAMS CGE MPSGE 13 p va 15

16 c va (p F ) mn z F f p F f zf f F v (z F ) = 1 π va = [ p va c va (p F ) ] v a π va v a = p va c va (p F ) = 0 a F f(p F ) = cva (p F ) p F f : 2 p c y (p, pva ) = 0 {y } =1,,n p va c va (p F ) = 0 {v a } =1,,n (p, pva ) a = cy {a } =1,,n,=1,,n p a v = cy (p, pva ) p va a F f = cva (p F ) p F f {a v } =1,,n {a F f } =1,,k,=1,,n e(p, u) h = {h } =1,,n p y = a y + h {p } =1,,n v a = a v y {p va } =1,,n v f = a F fv a {p F f } f=1,,k e(p, u) = m {u} m = f p F f v f {m} 16

17 4. 4 CES 2.6 CES 1 A-1 y = f y (x, v a ) = α(x x ) σ 1 σ + a v (v a ) σ 1 σ σ σ 1 v a = f v (v ) = f βf(v v σ v 1 σ f ) v σ v σ v 1 u = g(d 1,, d n ) = [ γ (d ) σc 1 σ c ] σ c σ c y = α(x x ) σ 1 σ + a v (v a ) σ 1 σ σ σ 1 {y } =1,,n 1 σ p y α(x x ) 1 σ p = 0 {x } =1,,n,=1,,n 1 σ p y α v (v a ) 1 σ p va = 0 {v a } =1,,n p va (v a ) 1 σ v βf(v v f ) 1 σ v p F f = 0 {v f } =1,,n,f=1,,k y = f x + [ ] σ c γ p βf(v v σ v 1 σ f ) v m (γ ) σc (p ) 1 σc {p } =1,,n σ v σ v 1 = v a {p va } =1,,n v f = v f {p F f } f=1,,k m = f p F f v f {m}

18 (α x ) σ (p ) 1 σ + (α v ) σ (p va ) 1 σ 1 1 σ p = 0 {y } =1,,n (22) f (βf) v σv (p F f ) 1 σv 1 1 σ v p va = 0 {v a } =1,,n (23) [ α x ] [ ] σ σ a x = (αl) x σ (p l ) 1 σ + (α v ) σ (p va ) 1 σ a v = a F f = h = p [ ] [ α v σ p va l [ β v f p F f [ ] σ c γ p l ] σ v [ k 1 σ 1 σ ] σ (αl) x σ (p l ) 1 σ + (α v ) σ (p va ) 1 σ (β v k) σv (p F k ) 1 σv ] σv 1 σ v {a x },=1,,n (24) {a v } =1,,n (25) {a F f} f=1,,k,=1,,n (26) 1 1 σ c (γ ) σc (p ) 1 σc u {h } =1,,n (27) y = a x y + h {p } =1,,n (28) v a = a v y {p va } =1,,n (29) v f = a F fv a {p F f } f=1,,k (30) [ ] 1 1 σ c u (γ ) σc (p ) 1 σc = m {u} (31) m = f p F f v f {m} (32) Dxt, Avnash K. and Vctor Norman (1980) Theory of Internatonal Trade: A Dual General Equlbrum Approach, Cambrdge: Cambrdge Unversty Press. Mas-Colell, Andreu, Mchael D. Whnston, and Jerry R. Green (1995) Mcroeconomc Theory, New York: Oxford Unversty Press. Paltsev, Sergey V., John M. Relly, Henry D. Jacoby, Rchard S. Eckaus, James R. Mcfarland, Marcus Sarom, Malcolm Asadooran, and Mustafa H. Babker (2005) The MIT Emssons Predcton and Polcy Analyss (EPPA) Model: Verson 4, URL: / Varan, Hal R. (1992) edton. Mcroeconomc Analyss, New York: W. W. Norton Company, 3rd 18

19 5. (2010) CGE CO Cobb-Douglas y = f y (x, v a ) = ϕ y (x ) αx (v a ) αv v a = f v (v ) = ϕ v (v f ) βv f f u = g(d 1,, d n ) = ϕ c (d ) γ 2 (22) (32) 0 p pva p F f m p + = λp pva+ = λp va p F + f = λp F f m+ = λm p + pva+ m + 3 p F + f (22) (32) v f λ (22) (32) 1 v f 6 ˆ : ˆ : ˆ : ˆ : ˆ : 19

CGE 12 * Date: 2018/07/24, Verson 1.1.1 1 2 2 2 3 Armngton 4 3.1 Armngton.................................. 4 3.2 Armngton................................ 5 3.3..........................................

More information

6.5.............................. 18 6.6...... 19 6.7......................... 21 6.7.1......... 21 6.7.2.................. 22 7 23 8 26 8.1..........

6.5.............................. 18 6.6...... 19 6.7......................... 21 6.7.1......... 21 6.7.2.................. 22 7 23 8 26 8.1.......... CGE Part 12 * Date: 2016/04/03, Verson 1.0.0 1 2 2 2 3 Armngton 4 3.1 Armngton.................................. 4 3.2 Armngton................................ 5 3.3..........................................

More information

3/4/8:9 { } { } β β β α β α β β

3/4/8:9 { } { } β β β α β α β β α β : α β β α β α, [ ] [ ] V, [ ] α α β [ ] β 3/4/8:9 3/4/8:9 { } { } β β β α β α β β [] β [] β β β β α ( ( ( ( ( ( [ ] [ ] [ β ] [ α β β ] [ α ( β β ] [ α] [ ( β β ] [] α [ β β ] ( / α α [ β β ] [ ] 3

More information

数学概論I

数学概論I {a n } M >0 s.t. a n 5 M for n =1, 2,... lim n a n = α ε =1 N s.t. a n α < 1 for n > N. n > N a n 5 a n α + α < 1+ α. M := max{ a 1,..., a N, 1+ α } a n 5 M ( n) 1 α α 1+ α t a 1 a N+1 a N+2 a 2 1 a n

More information

O1-1 O1-2 O1-3 O1-4 O1-5 O1-6

O1-1 O1-2 O1-3 O1-4 O1-5 O1-6 O1-1 O1-2 O1-3 O1-4 O1-5 O1-6 O1-7 O1-8 O1-9 O1-10 O1-11 O1-12 O1-13 O1-14 O1-15 O1-16 O1-17 O1-18 O1-19 O1-20 O1-21 O1-22 O1-23 O1-24 O1-25 O1-26 O1-27 O1-28 O1-29 O1-30 O1-31 O1-32 O1-33 O1-34 O1-35

More information

Microsoft Word - CTCWEB講座(4章照査)0419.doc

Microsoft Word - CTCWEB講座(4章照査)0419.doc 1912 1914 3 58 16 1 58 2 16 3 4 62 61 4 16 1 16 1914 ( 3) 1955 (30) 1961 (36) 1965 (40) 1970 (45) 1983 (58) 1992 ( 4) 1999 (11) 2004 (16) 2 1 2 3 4 5 6 7 8 9 1 10 2 11 12 13 14 15 16 17 18 19 20 21 22

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

1 911 9001030 9:00 A B C D E F G H I J K L M 1A0900 1B0900 1C0900 1D0900 1E0900 1F0900 1G0900 1H0900 1I0900 1J0900 1K0900 1L0900 1M0900 9:15 1A0915 1B0915 1C0915 1D0915 1E0915 1F0915 1G0915 1H0915 1I0915

More information

: Harberger Conenton ˆ CGE ˆ CGE ˆ 2 CGE 2.1 CGE CGE CES constant elastcty of substtuton Cob

: Harberger Conenton ˆ CGE ˆ CGE ˆ 2 CGE 2.1 CGE CGE CES constant elastcty of substtuton Cob CGE Part 8 Date: 2015/11/21, Verson 1.2 1 2 2 2 2.1 CGE............................... 2 2.2 CES........................... 3 2.3 CES.................................. 3 3 CGE 5 3.1.........................................

More information

N cos s s cos ψ e e e e 3 3 e e 3 e 3 e

N cos s s cos ψ e e e e 3 3 e e 3 e 3 e 3 3 5 5 5 3 3 7 5 33 5 33 9 5 8 > e > f U f U u u > u ue u e u ue u ue u e u e u u e u u e u N cos s s cos ψ e e e e 3 3 e e 3 e 3 e 3 > A A > A E A f A A f A [ ] f A A e > > A e[ ] > f A E A < < f ; >

More information

y = x x R = 0. 9, R = σ $ = y x w = x y x x w = x y α ε = + β + x x x y α ε = + β + γ x + x x x x' = / x y' = y/ x y' =

y = x x R = 0. 9, R = σ $ = y x w = x y x x w = x y α ε = + β + x x x y α ε = + β + γ x + x x x x' = / x y' = y/ x y' = y x = α + β + ε =,, ε V( ε) = E( ε ) = σ α $ $ β w ( 0) σ = w σ σ y α x ε = + β + w w w w ε / w ( w y x α β ) = α$ $ W = yw βwxw $β = W ( W) ( W)( W) w x x w x x y y = = x W y W x y x y xw = y W = w w

More information

inkiso.dvi

inkiso.dvi Ken Urai May 19, 2004 5 27 date-event uncertainty risk 51 ordering preordering X X X (preordering) reflexivity x X x x transitivity x, y, z X x y y z x z asymmetric x y y x x = y X (ordering) completeness

More information

1 1 x y = y(x) y, y,..., y (n) : n y F (x, y, y,..., y (n) ) = 0 n F (x, y, y ) = 0 1 y(x) y y = G(x, y) y, y y + p(x)y = q(x) 1 p(x) q(

1 1 x y = y(x) y, y,..., y (n) : n y F (x, y, y,..., y (n) ) = 0 n F (x, y, y ) = 0 1 y(x) y y = G(x, y) y, y y + p(x)y = q(x) 1 p(x) q( 1 1 y = y() y, y,..., y (n) : n y F (, y, y,..., y (n) ) = 0 n F (, y, y ) = 0 1 y() 1.1 1 y y = G(, y) 1.1.1 1 y, y y + p()y = q() 1 p() q() (q() = 0) y + p()y = 0 y y + py = 0 y y = p (log y) = p log

More information

数学Ⅱ演習(足助・09夏)

数学Ⅱ演習(足助・09夏) II I 9/4/4 9/4/2 z C z z z z, z 2 z, w C zw z w 3 z, w C z + w z + w 4 t R t C t t t t t z z z 2 z C re z z + z z z, im z 2 2 3 z C e z + z + 2 z2 + 3! z3 + z!, I 4 x R e x cos x + sin x 2 z, w C e z+w

More information

, 1.,,,.,., (Lin, 1955).,.,.,.,. f, 2,. main.tex 2011/08/13( )

, 1.,,,.,., (Lin, 1955).,.,.,.,. f, 2,. main.tex 2011/08/13( ) 81 4 2 4.1, 1.,,,.,., (Lin, 1955).,.,.,.,. f, 2,. 82 4.2. ζ t + V (ζ + βy) = 0 (4.2.1), V = 0 (4.2.2). (4.2.1), (3.3.66) R 1 Φ / Z, Γ., F 1 ( 3.2 ). 7,., ( )., (4.2.1) 500 hpa., 500 hpa (4.2.1) 1949,.,

More information

‚åŁÎ“·„´Šš‡ðŠp‡¢‡½‹âfi`fiI…A…‰…S…−…Y…•‡ÌMarkovŸA“½fiI›ð’Í

‚åŁÎ“·„´Šš‡ðŠp‡¢‡½‹âfi`fiI…A…‰…S…−…Y…•‡ÌMarkovŸA“½fiI›ð’Í Markov 2009 10 2 Markov 2009 10 2 1 / 25 1 (GA) 2 GA 3 4 Markov 2009 10 2 2 / 25 (GA) (GA) L ( 1) I := {0, 1} L f : I (0, ) M( 2) S := I M GA (GA) f (i) i I Markov 2009 10 2 3 / 25 (GA) ρ(i, j), i, j I

More information

n 2 + π2 6 x [10 n x] x = lim n 10 n n 10 k x 1.1. a 1, a 2,, a n, (a n ) n=1 {a n } n=1 1.2 ( ). {a n } n=1 Q ε > 0 N N m, n N a m

n 2 + π2 6 x [10 n x] x = lim n 10 n n 10 k x 1.1. a 1, a 2,, a n, (a n ) n=1 {a n } n=1 1.2 ( ). {a n } n=1 Q ε > 0 N N m, n N a m 1 1 1 + 1 4 + + 1 n 2 + π2 6 x [10 n x] x = lim n 10 n n 10 k x 1.1. a 1, a 2,, a n, (a n ) n=1 {a n } n=1 1.2 ( ). {a n } n=1 Q ε > 0 N N m, n N a m a n < ε 1 1. ε = 10 1 N m, n N a m a n < ε = 10 1 N

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

製造業における熟練労働への需要シフト:

製造業における熟練労働への需要シフト: * htosh.sasak@boj.or.j ** kench.sakura@boj.or.j No.04-J-17 2004 12 103-8660 30 * ** * 2004 12 1988 2003 * e-mal: htosh.sasak@boj.or.j e-mal: kench.sakura@boj.or.j 1 1. 1980 1990 1 skll-based technologcal

More information

Banach-Tarski Hausdorff May 17, 2014 3 Contents 1 Hausdorff 5 1.1 ( Unlösbarkeit des Inhaltproblems) 5 5 1 Hausdorff Banach-Tarski Hausdorff [H1, H2] Hausdorff Grundzüge der Mangenlehre [H1] Inhalte

More information

K 2 X = 4 MWG(f), X P 2 F, υ 0 : X P 2 2,, {f λ : X λ P 1 } λ Λ NS(X λ ), (υ 0 ) λ : X λ P 2 ( 1) X 6, f λ K X + F, f ( 1), n, n 1 (cf [10]) X, f : X

K 2 X = 4 MWG(f), X P 2 F, υ 0 : X P 2 2,, {f λ : X λ P 1 } λ Λ NS(X λ ), (υ 0 ) λ : X λ P 2 ( 1) X 6, f λ K X + F, f ( 1), n, n 1 (cf [10]) X, f : X 2 E 8 1, E 8, [6], II II, E 8, 2, E 8,,, 2 [14],, X/C, f : X P 1 2 3, f, (O), f X NS(X), (O) T ( 1), NS(X), T [15] : MWG(f) NS(X)/T, MWL(f) 0 (T ) NS(X), MWL(f) MWL(f) 0, : {f λ : X λ P 1 } λ Λ NS(X λ

More information

Z: Q: R: C: sin 6 5 ζ a, b

Z: Q: R: C: sin 6 5 ζ a, b Z: Q: R: C: 3 3 7 4 sin 6 5 ζ 9 6 6............................... 6............................... 6.3......................... 4 7 6 8 8 9 3 33 a, b a bc c b a a b 5 3 5 3 5 5 3 a a a a p > p p p, 3,

More information

II (Percolation) ( 3-4 ) 1. [ ],,,,,,,. 2. [ ],.. 3. [ ],. 4. [ ] [ ] G. Grimmett Percolation Springer-Verlag New-York [ ] 3

II (Percolation) ( 3-4 ) 1. [ ],,,,,,,. 2. [ ],.. 3. [ ],. 4. [ ] [ ] G. Grimmett Percolation Springer-Verlag New-York [ ] 3 II (Percolation) 12 9 27 ( 3-4 ) 1 [ ] 2 [ ] 3 [ ] 4 [ ] 1992 5 [ ] G Grimmett Percolation Springer-Verlag New-York 1989 6 [ ] 3 1 3 p H 2 3 2 FKG BK Russo 2 p H = p T (=: p c ) 3 2 Kesten p c =1/2 ( )

More information

1 1.1 ( ). z = a + bi, a, b R 0 a, b 0 a 2 + b 2 0 z = a + bi = ( ) a 2 + b 2 a a 2 + b + b 2 a 2 + b i 2 r = a 2 + b 2 θ cos θ = a a 2 + b 2, sin θ =

1 1.1 ( ). z = a + bi, a, b R 0 a, b 0 a 2 + b 2 0 z = a + bi = ( ) a 2 + b 2 a a 2 + b + b 2 a 2 + b i 2 r = a 2 + b 2 θ cos θ = a a 2 + b 2, sin θ = 1 1.1 ( ). z = + bi,, b R 0, b 0 2 + b 2 0 z = + bi = ( ) 2 + b 2 2 + b + b 2 2 + b i 2 r = 2 + b 2 θ cos θ = 2 + b 2, sin θ = b 2 + b 2 2π z = r(cos θ + i sin θ) 1.2 (, ). 1. < 2. > 3. ±,, 1.3 ( ). A

More information

42 3 u = (37) MeV/c 2 (3.4) [1] u amu m p m n [1] m H [2] m p = (4) MeV/c 2 = (13) u m n = (4) MeV/c 2 =

42 3 u = (37) MeV/c 2 (3.4) [1] u amu m p m n [1] m H [2] m p = (4) MeV/c 2 = (13) u m n = (4) MeV/c 2 = 3 3.1 3.1.1 kg m s J = kg m 2 s 2 MeV MeV [1] 1MeV=1 6 ev = 1.62 176 462 (63) 1 13 J (3.1) [1] 1MeV/c 2 =1.782 661 731 (7) 1 3 kg (3.2) c =1 MeV (atomic mass unit) 12 C u = 1 12 M(12 C) (3.3) 41 42 3 u

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

°ÌÁê¿ô³ØII

°ÌÁê¿ô³ØII July 14, 2007 Brouwer f f(x) = x x f(z) = 0 2 f : S 2 R 2 f(x) = f( x) x S 2 3 3 2 - - - 1. X x X U(x) U(x) x U = {U(x) x X} X 1. U(x) A U(x) x 2. A U(x), A B B U(x) 3. A, B U(x) A B U(x) 4. A U(x),

More information

Revealed Preference Theory and the Slutsky Matrx Yuhk Hosoya Abstract: In ths paper, we prove that for any contnuous

Revealed Preference Theory and the Slutsky Matrx Yuhk Hosoya Abstract: In ths paper, we prove that for any contnuous Powered by TCPDF (www.tcpdf.org) Ttle 顕示選好理論とスルツキー行列 Sub Ttle Revealed preference theory and the Slutsky matrx Author 細矢, 祐誉 (Hosoya, Yuk) Publsher 慶應義塾経済学会 Publcaton year 2015 Jttle 三田学会雑誌 (Mta ournal

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

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

2 A id A : A A A A id A def = {(a, a) A A a A} 1 { } 1 1 id 1 = α: A B β : B C α β αβ : A C αβ def = {(a, c) A C b B.((a, b) α (b, c) β)} 2.3 α

2 A id A : A A A A id A def = {(a, a) A A a A} 1 { } 1 1 id 1 = α: A B β : B C α β αβ : A C αβ def = {(a, c) A C b B.((a, b) α (b, c) β)} 2.3 α 20 6 18 1 2 2.1 A B α A B α: A B A B Rel(A, B) A B (A B) A B 0 AB A B AB α, β : A B α β α β def (a, b) A B.((a, b) α (a, b) β) 0 AB AB Rel(A, B) 1 2 A id A : A A A A id A def = {(a, a) A A a A} 1 { } 1

More information

1 (1) () (3) I 0 3 I I d θ = L () dt θ L L θ I d θ = L = κθ (3) dt κ T I T = π κ (4) T I κ κ κ L l a θ L r δr δl L θ ϕ ϕ = rθ (5) l

1 (1) () (3) I 0 3 I I d θ = L () dt θ L L θ I d θ = L = κθ (3) dt κ T I T = π κ (4) T I κ κ κ L l a θ L r δr δl L θ ϕ ϕ = rθ (5) l 1 1 ϕ ϕ ϕ S F F = ϕ (1) S 1: F 1 1 (1) () (3) I 0 3 I I d θ = L () dt θ L L θ I d θ = L = κθ (3) dt κ T I T = π κ (4) T I κ κ κ L l a θ L r δr δl L θ ϕ ϕ = rθ (5) l : l r δr θ πrδr δf (1) (5) δf = ϕ πrδr

More information

shuron.dvi

shuron.dvi 01M3065 1 4 1.1........................... 4 1.2........................ 5 1.3........................ 6 2 8 2.1.......................... 8 2.2....................... 9 3 13 3.1.............................

More information

研修コーナー

研修コーナー l l l l l l l l l l l α α β l µ l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l

More information

2 1 κ c(t) = (x(t), y(t)) ( ) det(c (t), c x (t)) = det (t) x (t) y (t) y = x (t)y (t) x (t)y (t), (t) c (t) = (x (t)) 2 + (y (t)) 2. c (t) =

2 1 κ c(t) = (x(t), y(t)) ( ) det(c (t), c x (t)) = det (t) x (t) y (t) y = x (t)y (t) x (t)y (t), (t) c (t) = (x (t)) 2 + (y (t)) 2. c (t) = 1 1 1.1 I R 1.1.1 c : I R 2 (i) c C (ii) t I c (t) (0, 0) c (t) c(i) c c(t) 1.1.2 (1) (2) (3) (1) r > 0 c : R R 2 : t (r cos t, r sin t) (2) C f : I R c : I R 2 : t (t, f(t)) (3) y = x c : R R 2 : t (t,

More information

2 2 1?? 2 1 1, 2 1, 2 1, 2, 3,... 1, 2 1, 3? , 2 2, 3? k, l m, n k, l m, n kn > ml...? 2 m, n n m

2 2 1?? 2 1 1, 2 1, 2 1, 2, 3,... 1, 2 1, 3? , 2 2, 3? k, l m, n k, l m, n kn > ml...? 2 m, n n m 2009 IA I 22, 23, 24, 25, 26, 27 4 21 1 1 2 1! 4, 5 1? 50 1 2 1 1 2 1 4 2 2 2 1?? 2 1 1, 2 1, 2 1, 2, 3,... 1, 2 1, 3? 2 1 3 1 2 1 1, 2 2, 3? 2 1 3 2 3 2 k, l m, n k, l m, n kn > ml...? 2 m, n n m 3 2

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

Hanbury-Brown Twiss (ver. 2.0) van Cittert - Zernike mutual coherence

Hanbury-Brown Twiss (ver. 2.0) van Cittert - Zernike mutual coherence Hanbury-Brown Twiss (ver. 2.) 25 4 4 1 2 2 2 2.1 van Cittert - Zernike..................................... 2 2.2 mutual coherence................................. 4 3 Hanbury-Brown Twiss ( ) 5 3.1............................................

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

Solution Report

Solution Report CGE 3 GAMS * Date: 2018/07/24, Version 1.1 1 2 2 GAMSIDE 3 2.1 GAMS................................. 3 2.2 GAMSIDE................................ 3 2.3 GAMSIDE............................. 7 3 GAMS 11

More information

2000年度『数学展望 I』講義録

2000年度『数学展望 I』講義録 2000 I I IV I II 2000 I I IV I-IV. i ii 3.10 (http://www.math.nagoya-u.ac.jp/ kanai/) 2000 A....1 B....4 C....10 D....13 E....17 Brouwer A....21 B....26 C....33 D....39 E. Sperner...45 F....48 A....53

More information

No.004 [1] J. ( ) ( ) (1968) [2] Morse (1997) [3] (1988) 1

No.004 [1] J. ( ) ( ) (1968) [2] Morse (1997) [3] (1988) 1 No.004 [1] J. ( ) ( ) (1968) [2] Morse (1997) [3] (1988) 1 1 (1) 1.1 X Y f, g : X Y { F (x, 0) = f(x) F (x, 1) = g(x) F : X I Y f g f g F f g 1.2 X Y X Y gf id X, fg id Y f : X Y, g : Y X X Y X Y (2) 1.3

More information

LLG-R8.Nisus.pdf

LLG-R8.Nisus.pdf d M d t = γ M H + α M d M d t M γ [ 1/ ( Oe sec) ] α γ γ = gµ B h g g µ B h / π γ g = γ = 1.76 10 [ 7 1/ ( Oe sec) ] α α = λ γ λ λ λ α γ α α H α = γ H ω ω H α α H K K H K / M 1 1 > 0 α 1 M > 0 γ α γ =

More information

( ) ( ) 1729 (, 2016:17) = = (1) 1 1

( ) ( ) 1729 (, 2016:17) = = (1) 1 1 1729 1 2016 10 28 1 1729 1111 1111 1729 (1887 1920) (1877 1947) 1729 (, 2016:17) 12 3 1728 9 3 729 1729 = 12 3 + 1 3 = 10 3 + 9 3 (1) 1 1 2 1729 1729 19 13 7 = 1729 = 12 3 + 1 3 = 10 3 + 9 3 13 7 = 91

More information

(2004 ) 2 (A) (B) (C) 3 (1987) (1988) Shimono and Tachibanaki(1985) (2008) , % 2 (1999) (2005) 3 (2005) (2006) (2008)

(2004 ) 2 (A) (B) (C) 3 (1987) (1988) Shimono and Tachibanaki(1985) (2008) , % 2 (1999) (2005) 3 (2005) (2006) (2008) ,, 23 4 30 (i) (ii) (i) (ii) Negishi (1960) 2010 (2010) ( ) ( ) (2010) E-mail:fujii@econ.kobe-u.ac.jp E-mail:082e527e@stu.kobe-u.ac.jp E-mail:iritani@econ.kobe-u.ac.jp 1 1 16 (2004 ) 2 (A) (B) (C) 3 (1987)

More information

nsg02-13/ky045059301600033210

nsg02-13/ky045059301600033210 φ φ φ φ κ κ α α μ μ α α μ χ et al Neurosci. Res. Trpv J Physiol μ μ α α α β in vivo β β β β β β β β in vitro β γ μ δ μδ δ δ α θ α θ α In Biomechanics at Micro- and Nanoscale Levels, Volume I W W v W

More information

21 2 26 i 1 1 1.1............................ 1 1.2............................ 3 2 9 2.1................... 9 2.2.......... 9 2.3................... 11 2.4....................... 12 3 15 3.1..........

More information

9 5 ( α+ ) = (α + ) α (log ) = α d = α C d = log + C C 5. () d = 4 d = C = C = 3 + C 3 () d = d = C = C = 3 + C 3 =

9 5 ( α+ ) = (α + ) α (log ) = α d = α C d = log + C C 5. () d = 4 d = C = C = 3 + C 3 () d = d = C = C = 3 + C 3 = 5 5. 5.. A II f() f() F () f() F () = f() C (F () + C) = F () = f() F () + C f() F () G() f() G () = F () 39 G() = F () + C C f() F () f() F () + C C f() f() d f() f() C f() f() F () = f() f() f() d =

More information

untitled

untitled 17 5 13 1 2 1.1... 2 1.2... 2 1.3... 3 2 3 2.1... 3 2.2... 5 3 6 3.1... 6 3.2... 7 3.3 t... 7 3.4 BC a... 9 3.5... 10 4 11 1 1 θ n ˆθ. ˆθ, ˆθ, ˆθ.,, ˆθ.,.,,,. 1.1 ˆθ σ 2 = E(ˆθ E ˆθ) 2 b = E(ˆθ θ). Y 1,,Y

More information

(1) 1 y = 2 = = b (2) 2 y = 2 = 2 = 2 + h B h h h< h 2 h

(1) 1 y = 2 = = b (2) 2 y = 2 = 2 = 2 + h B h h h< h 2 h 6 6.1 6.1.1 O y A y y = f() y = f() b f(b) B y f(b) f() = b f(b) f() f() = = b A f() b AB O b 6.1 2 y = 2 = 1 = 1 + h (1 + h) 2 1 2 (1 + h) 1 2h + h2 = h h(2 + h) = h = 2 + h y (1 + h) 2 1 2 O y = 2 1

More information

DVIOUT-fujin

DVIOUT-fujin 2005 Limit Distribution of Quantum Walks and Weyl Equation 2006 3 2 1 2 2 4 2.1...................... 4 2.2......................... 5 2.3..................... 6 3 8 3.1........... 8 3.2..........................

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

TD(0) Q AC (Reward): () Pr(r t+1 s t+1 = s,s t = s, a t = a) t R a ss = E(r t+1 s t+1 = s,s t = s, a t = a) R t = r t+1 + γr t γ T r t+t +1 = T

TD(0) Q AC (Reward): () Pr(r t+1 s t+1 = s,s t = s, a t = a) t R a ss = E(r t+1 s t+1 = s,s t = s, a t = a) R t = r t+1 + γr t γ T r t+t +1 = T () 2009 TD(0) Q AC 2009 1/42 2009 2/42 TD(0) Q AC (Renforcement Learnng) : (polcy) Acton: a t Agent (= Controller) Envronment (= Controlled object) State: s t Reward: r t TD(0) Q AC (Envronment) (Markov

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

A S- hara/lectures/lectures-j.html r A = A 5 : 5 = max{ A, } A A A A B A, B A A A %

A S-   hara/lectures/lectures-j.html r A = A 5 : 5 = max{ A, } A A A A B A, B A A A % A S- http://www.math.kyushu-u.ac.jp/ hara/lectures/lectures-j.html r A S- 3.4.5. 9 phone: 9-8-444, e-mail: hara@math.kyushu-u.ac.jp, http://www.math.kyushu-u.ac.jp/ hara/lectures/lectures-j.html Office

More information

untitled

untitled 8- My + Cy + Ky = f () t 8. C f () t ( t) = Ψq( t) () t = Ψq () t () t = Ψq () t = ( q q ) ; = [ ] y y y q Ψ φ φ φ = ( ϕ, ϕ, ϕ,3 ) 8. ψ Ψ MΨq + Ψ CΨq + Ψ KΨq = Ψ f ( t) Ψ MΨ = I; Ψ CΨ = C; Ψ KΨ = Λ; q

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

2016

2016 2016 1 G x x G d G (x) 1 ( ) G d G (x) = 2 E(G). x V (G) 2 ( ) 1.1 1: n m on-off ( 1 ) off on 1: on-off ( on ) G v v N(v) on-off G S V (G) N(v) S { 3 G v S v S G G = 1 OK ( ) G 2 3.1 u S u u u 1 G u S

More information

24 I ( ) 1. R 3 (i) C : x 2 + y 2 1 = 0 (ii) C : y = ± 1 x 2 ( 1 x 1) (iii) C : x = cos t, y = sin t (0 t 2π) 1.1. γ : [a, b] R n ; t γ(t) = (x

24 I ( ) 1. R 3 (i) C : x 2 + y 2 1 = 0 (ii) C : y = ± 1 x 2 ( 1 x 1) (iii) C : x = cos t, y = sin t (0 t 2π) 1.1. γ : [a, b] R n ; t γ(t) = (x 24 I 1.1.. ( ) 1. R 3 (i) C : x 2 + y 2 1 = 0 (ii) C : y = ± 1 x 2 ( 1 x 1) (iii) C : x = cos t, y = sin t (0 t 2π) 1.1. γ : [a, b] R n ; t γ(t) = (x 1 (t), x 2 (t),, x n (t)) ( ) ( ), γ : (i) x 1 (t),

More information

2 1,2, , 2 ( ) (1) (2) (3) (4) Cameron and Trivedi(1998) , (1987) (1982) Agresti(2003)

2 1,2, , 2 ( ) (1) (2) (3) (4) Cameron and Trivedi(1998) , (1987) (1982) Agresti(2003) 3 1 1 1 2 1 2 1,2,3 1 0 50 3000, 2 ( ) 1 3 1 0 4 3 (1) (2) (3) (4) 1 1 1 2 3 Cameron and Trivedi(1998) 4 1974, (1987) (1982) Agresti(2003) 3 (1)-(4) AAA, AA+,A (1) (2) (3) (4) (5) (1)-(5) 1 2 5 3 5 (DI)

More information

第86回日本感染症学会総会学術集会後抄録(I)

第86回日本感染症学会総会学術集会後抄録(I) κ κ κ κ κ κ μ μ β β β γ α α β β γ α β α α α γ α β β γ μ β β μ μ α ββ β β β β β β β β β β β β β β β β β β γ β μ μ μ μμ μ μ μ μ β β μ μ μ μ μ μ μ μ μ μ μ μ μ μ β

More information

EP7000取扱説明書

EP7000取扱説明書 EP7000 S0109-3012 3 47 811 1213 1419 2021 53 54 5560 61 6263 66 2223 2427 2830 3133 3436 3740 4142 4344 45 46 4750 5152 2 4 5 6 7 1 3 4 5 6 7 8 9 15 16 17 18 13 EP7000 2 10 11 12 13 14 19 20 21 22 23 24

More information

29

29 9 .,,, 3 () C k k C k C + C + C + + C 8 + C 9 + C k C + C + C + C 3 + C 4 + C 5 + + 45 + + + 5 + + 9 + 4 + 4 + 5 4 C k k k ( + ) 4 C k k ( k) 3 n( ) n n n ( ) n ( ) n 3 ( ) 3 3 3 n 4 ( ) 4 4 4 ( ) n n

More information

Chapter9 9 LDPC sum-product LDPC 9.1 ( ) 9.2 c 1, c 2, {0, 1, } SUM, PROD : {0, 1, } {0, 1, } SUM(c 1, c 2,, c n ) := { c1 + + c n (c n0 (1 n

Chapter9 9 LDPC sum-product LDPC 9.1 ( ) 9.2 c 1, c 2, {0, 1, } SUM, PROD : {0, 1, } {0, 1, } SUM(c 1, c 2,, c n ) := { c1 + + c n (c n0 (1 n 9 LDPC sum-product 9.1 9.2 LDPC 9.1 ( ) 9.2 c 1, c 2, {0, 1, } SUM, PROD : {0, 1, } {0, 1, } SUM(c 1, c 2,, c n ) := { c1 + + c n (c n0 (1 n 0 n)) ( ) 0 (N(0 c) > N(1 c)) PROD(c 1, c 2,, c n ) := 1 (N(0

More information

u = u(t, x 1,..., x d ) : R R d C λ i = 1 := x 2 1 x 2 d d Euclid Laplace Schrödinger N := {1, 2, 3,... } Z := {..., 3, 2, 1,, 1, 2, 3

u = u(t, x 1,..., x d ) : R R d C λ i = 1 := x 2 1 x 2 d d Euclid Laplace Schrödinger N := {1, 2, 3,... } Z := {..., 3, 2, 1,, 1, 2, 3 2 2 1 5 5 Schrödinger i u t + u = λ u 2 u. u = u(t, x 1,..., x d ) : R R d C λ i = 1 := 2 + + 2 x 2 1 x 2 d d Euclid Laplace Schrödinger 3 1 1.1 N := {1, 2, 3,... } Z := {..., 3, 2, 1,, 1, 2, 3,... } Q

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

63 3.2,.,.,. (2.6.38a), (2.6.38b), V + V V + Φ + fk V = 0 (3.2.1)., Φ = gh, f.,. (2.6.40), Φ + V Φ + Φ V = 0 (3.2.2). T = L/C (3.2.3), C. C V, T = L/V

63 3.2,.,.,. (2.6.38a), (2.6.38b), V + V V + Φ + fk V = 0 (3.2.1)., Φ = gh, f.,. (2.6.40), Φ + V Φ + Φ V = 0 (3.2.2). T = L/C (3.2.3), C. C V, T = L/V 62 3 3.1,,.,. J. Charney, 1948., Burger(1958) Phillips(1963),.,. L : ( 1/4) T : ( 1/4) V :,. v x u x V L, etc, u V T,,.,., ( )., 2.1.1. 63 3.2,.,.,. (2.6.38a), (2.6.38b), V + V V + Φ + fk V = 0 (3.2.1).,

More information

ohpmain.dvi

ohpmain.dvi fujisawa@ism.ac.jp 1 Contents 1. 2. 3. 4. γ- 2 1. 3 10 5.6, 5.7, 5.4, 5.5, 5.8, 5.5, 5.3, 5.6, 5.4, 5.2. 5.5 5.6 +5.7 +5.4 +5.5 +5.8 +5.5 +5.3 +5.6 +5.4 +5.2 =5.5. 10 outlier 5 5.6, 5.7, 5.4, 5.5, 5.8,

More information

磁性物理学 - 遷移金属化合物磁性のスピンゆらぎ理論

磁性物理学 - 遷移金属化合物磁性のスピンゆらぎ理論 email: takahash@sci.u-hyogo.ac.jp May 14, 2009 Outline 1. 2. 3. 4. 5. 6. 2 / 262 Today s Lecture: Mode-mode Coupling Theory 100 / 262 Part I Effects of Non-linear Mode-Mode Coupling Effects of Non-linear

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 (Berry,1975) 2-6 p (S πr 2 )p πr 2 p 2πRγ p p = 2γ R (2.5).1-1 : : : : ( ).2 α, β α, β () X S = X X α X β (.1) 1 2

1 (Berry,1975) 2-6 p (S πr 2 )p πr 2 p 2πRγ p p = 2γ R (2.5).1-1 : : : : ( ).2 α, β α, β () X S = X X α X β (.1) 1 2 2005 9/8-11 2 2.2 ( 2-5) γ ( ) γ cos θ 2πr πρhr 2 g h = 2γ cos θ ρgr (2.1) γ = ρgrh (2.2) 2 cos θ θ cos θ = 1 (2.2) γ = 1 ρgrh (2.) 2 2. p p ρgh p ( ) p p = p ρgh (2.) h p p = 2γ r 1 1 (Berry,1975) 2-6

More information

PFI

PFI PFI 23 3 3 PFI PFI 1 1 2 3 2.1................................. 3 2.2..................... 4 2.3.......................... 5 3 7 3.1................................ 7 3.2.................................

More information

2 (2016 3Q N) c = o (11) Ax = b A x = c A n I n n n 2n (A I n ) (I n X) A A X A n A A A (1) (2) c 0 c (3) c A A i j n 1 ( 1) i+j A (i, j) A (i, j) ã i

2 (2016 3Q N) c = o (11) Ax = b A x = c A n I n n n 2n (A I n ) (I n X) A A X A n A A A (1) (2) c 0 c (3) c A A i j n 1 ( 1) i+j A (i, j) A (i, j) ã i [ ] (2016 3Q N) a 11 a 1n m n A A = a m1 a mn A a 1 A A = a n (1) A (a i a j, i j ) (2) A (a i ca i, c 0, i ) (3) A (a i a i + ca j, j i, i ) A 1 A 11 0 A 12 0 0 A 1k 0 1 A 22 0 0 A 2k 0 1 0 A 3k 1 A rk

More information

D = [a, b] [c, d] D ij P ij (ξ ij, η ij ) f S(f,, {P ij }) S(f,, {P ij }) = = k m i=1 j=1 m n f(ξ ij, η ij )(x i x i 1 )(y j y j 1 ) = i=1 j

D = [a, b] [c, d] D ij P ij (ξ ij, η ij ) f S(f,, {P ij }) S(f,, {P ij }) = = k m i=1 j=1 m n f(ξ ij, η ij )(x i x i 1 )(y j y j 1 ) = i=1 j 6 6.. [, b] [, d] ij P ij ξ ij, η ij f Sf,, {P ij } Sf,, {P ij } k m i j m fξ ij, η ij i i j j i j i m i j k i i j j m i i j j k i i j j kb d {P ij } lim Sf,, {P ij} kb d f, k [, b] [, d] f, d kb d 6..

More information