Gelfand 3 L 2 () ix M : ϕ(x) ixϕ(x) M : σ(m) = i (λ M) λ (L 2 () ) ( 0 ) L 2 () ϕ, ψ L 2 () ((λ M) ϕ, ψ) ((λ M) ϕ, ψ) = λ ix ϕ(x)ψ(x)dx. λ /(λ ix) ϕ,

Size: px
Start display at page:

Download "Gelfand 3 L 2 () ix M : ϕ(x) ixϕ(x) M : σ(m) = i (λ M) λ (L 2 () ) ( 0 ) L 2 () ϕ, ψ L 2 () ((λ M) ϕ, ψ) ((λ M) ϕ, ψ) = λ ix ϕ(x)ψ(x)dx. λ /(λ ix) ϕ,"

Transcription

1 A spectral theory of linear operators on Gelfand triplets MI (Institute of Mathematics for Industry, Kyushu University) (Hayato CHIBA) Dec 2, 20 du dt = Tu. (.) u X T X X T 0 X X T T T * T Landau [7] Gelfand 3 * X Banach T sectorial operator ( ) [0] T sectorial operator [2] T S (t) Hilbert e σ(t)t = σ(s (t)) e σ(t)t σ(s (t)) S (t) σ(t) T D(T) X S (t) X D(T) T D(T) [2]

2 Gelfand 3 L 2 () ix M : ϕ(x) ixϕ(x) M : σ(m) = i (λ M) λ (L 2 () ) ( 0 ) L 2 () ϕ, ψ L 2 () ((λ M) ϕ, ψ) ((λ M) ϕ, ψ) = λ ix ϕ(x)ψ(x)dx. λ /(λ ix) ϕ, ψ lim e(λ) +0 λ ix ϕ(x)ψ(x)dx. *2 λ ϕ, ψ ((λ M) ϕ, ψ) ϕ(x)ψ(x)dx + 2πϕ(iλ)ψ(iλ) λ ix ϕ ψ (λ; ϕ, ψ) = ψ(x)ϕ(x)dx + 2πψ(iλ)ϕ(iλ) (e(λ) < 0), λ ix lim e(λ) +0 λ ix ψ(x)ϕ(x)dx (λ i), ψ(x)ϕ(x)dx (e(λ) > 0), λ ix *2 lim e(λ) +0 e(λ) e(λ) 2 ϕ(x)ψ(x)dx = πϕ(im(λ))ψ(im(λ)) + (Im(λ) x) 2 2

3 ϕ ψ λ X L 2 () X X X ϕ X (λ; ϕ, ψ) ϕ (λ; ϕ, ψ) X (λ;, ψ) X ψ (λ;, ψ) X X A(λ) A(λ)ψ ϕ = ψ(x)ϕ(x)dx + 2πψ(iλ)ϕ(iλ) (e(λ) < 0), λ ix lim e(λ) +0 λ ix ψ(x)ϕ(x)dx (λ i), ψ(x)ϕ(x)dx (e(λ) > 0). λ ix (.2) X X Dirac λ A(λ) = (λ M) A(λ) M M (λ M) L 2 () L 2 () X X λ (X - ) X L 2 () L 2 () X L 2 () Hilbert X L 2 () X (.3) 3 Gelfand 3 rigged Hilbert space H Hilbert T T (λ T) T X X X (λ T) λ λ iemann λ iemann 3

4 X Banach T C 0 e Tt Laplace e Tt = lim y 2πi x+iy x iy e λt (λ T) dλ (.4) x T ( (a)) x (a) (b) Fig. T ( ) (b) M : ϕ(x) ixϕ(x) e λt (λ T) M X X A(λ) Laplace e Tt = lim y 2πi x+iy x iy e λt A(λ)dλ (.5) ( A(λ) 2 iemann ) (Tϕ)(x) = ixϕ(x) + K ϕ(x)dx (.6) 4

5 L 2 (, g(x)dx) T (.) K > 0 g ( ) [3, 4] 4 T K c = 2/π K T M K > K c λ = λ(k) K K = K c 0 < K < K c T T ( ϕ, ψ ((λ T) ϕ, ψ) ) 2 T 2 iemann Laplace 2 iemann (.) u(t) X [3, 4] Fig. 2 K K > K c 0 < K < K c iemann D( ) ( ) 2 Gelfand 3 X C Hausdorff X X X µ X ϕ X µ(ϕ) Dirac µ ϕ. a, b C, ϕ, ψ X µ, ξ X 5

6 µ aϕ + bψ = a µ ϕ + b µ ψ, (2.) aµ + bξ ϕ = a µ ϕ + b ξ ϕ, (2.2) X ( * ) ( * ) ϕ X µ j ϕ µ ϕ {µ j } X µ X X µ j ϕ µ ϕ {µ j } X µ X H Hilbert (, ) X H H H X Hilbert H X 2.. Hausdorff X Hilbert H X H 3 X H X (2.3) rigged Hilbert space Gelfand 3 i : H X ; ψ H i(ψ) ψ i(ψ)(ϕ) = ψ ϕ = (ψ, ϕ), ϕ X (2.4) i : H X X H i ( ) X H (Tréves [8]). 2. i Gelfand 3 Schwartz Gelfand [8] X = C 0 (m ), H = L 2 ( m ) Gelfand 3 Schwartz 3 Gelfand 3 Chiba [5] 3. H C Hilbert H H {E(B)} B B H H = ωde(ω) 6

7 I Fig. 3 E[ψ, ϕ](ω) Ω. K H T := H + K Schrödinger H K Ω C Ĩ Ĩ I ( 3) T = H + K C X(Ω) (X) X(Ω) H. (X2) X(Ω) H. (X3) X(Ω). (X), (X2) Gelfand 3 X(Ω) H X(Ω) (3.) ( Tréves [8] ) Fréchet Banach Hilbert Fréchet C Montel *3 Banach-Steinhaus *4 *3 Montel Montel C C C Montel Schwartz Montel Montel [9, 3] *4 Banach-Steinhaus. X X X A 4 (i) A (ii) A (iii) A 7

8 [5] H E(B) (X4) ϕ X(Ω) (E(B)ϕ, ϕ) I E[ϕ, ϕ](ω) Ω I. (X5) λ I Ω E[, ](λ) : X(Ω) X(Ω) C (X4) ϕ, ψ X(Ω) (E(B)ϕ, ψ) I E[ϕ, ψ](ω) d(e(ω)ϕ, ψ) = E[ϕ, ψ](ω)dω, ω I. (3.2) E[ϕ, ψ](ω) ω I Ω I ω ix(ω) X(Ω) X(Ω) A(λ) : ix(ω) X(Ω) λ ω E[ψ, ϕ](ω)dω + 2π E[ψ, ϕ](λ) (λ Ω), A(λ)ψ ϕ = lim y 0 x + E[ψ, ϕ](ω)dω (λ = x I), (3.3) y ω E[ψ, ϕ](ω)dω (Im(λ) < 0), λ ω λ A(λ)ψ ϕ {Im(λ) < 0} Ω I Im(λ) < 0 A(λ)ψ ϕ = ((λ H) ψ, ϕ) A(λ) H A(λ) X(Ω) (λ H) Ω *5 H A(λ) ix(ω) X(Ω) X(Ω) A(λ) i : X(Ω) X(Ω) *6 Q X(Ω) Q : D(Q ) X(Ω) Q D(Q ) X(Ω) C ϕ µ Qϕ µ X(Ω) (iv) A Tréves [8] X Banach *5 Ω A(λ) Ω iemann 4 *6 X(Ω) Banach Banach [] 8

9 Q µ ϕ = µ Qϕ Q H Hilbert Q Q (Qϕ, ψ) = (ϕ, Q ψ) Q X(Ω) (Q ) Q Q = (Q ) i Q = Q i D(Q) Q Q H K (X6) H X(Ω) X(Ω) Y HY X(Ω) (X7) K H- K X(Ω) (X8) λ {Im(λ) < 0} I Ω K A(λ)iX(Ω) ix(ω) (X6) (X7) H, K, T X(Ω) D(H ) id(h) K, T H, K X(Ω) H, K T X(Ω) K H- K(λ H) H A(λ) (λ H) (X8) (X7) T T (λ T)v = 0 T = H + K (id (λ H) K)v = 0 X(Ω) (λ H) A(λ) 3.. λ Ω I {λ Im(λ) < 0} (id A(λ)K )µ = 0 (3.4) µ X(Ω) λ T µ K (id K A(λ))K µ = 0 (3.5) K µ = 0 (3.4) µ = 0 λ id K A(λ) ix(ω) (X8) K A(λ) ix(ω) well-defined 3.2. λ T µ T µ = λµ (3.6) 9

10 . D(λ H ) (A(λ)) (λ H )A(λ) = id : ix(ω) ix(ω) (λ H )(id A(λ)K )µ = (λ H K )µ = (λ T )µ = 0 λ T T X(Ω) C T T T 3.2 A(λ) A(λ) n =, 2, A (n) (λ) : ix(ω) X(Ω) A (n) (λ)ψ ϕ = (λ ω) n E[ψ, ϕ](ω)dω + 2π ( )n d n z=λ E[ψ, ϕ](z), (λ Ω), (n )! dz n lim y 0 (x + E[ψ, ϕ](ω)dω, (λ = x I), y ω) n (λ ω) n E[ψ, ϕ](ω)dω, (Im(λ) < 0) (3.7) A (n) (λ)ψ ϕ ((λ H) n ψ, ϕ) Ω A () (λ) A(λ) 3.3. j n 0 A ( j) (λ) (i) (λ H ) n A ( j) (λ) = A ( j n) (λ) A (0) (λ) := id. (ii) A ( j) (λ)(λ H ) n = A ( j n) (λ). (λ H )µ ix(ω) A(λ)(λ H )µ = µ (iii) d j dλ j A(λ)ψ ϕ = ( ) j j! A ( j+) (λ)ψ ϕ, j = 0,,. (iv) ψ X(Ω) A(λ)ψ A(λ)ψ = (λ 0 λ) j A ( j+) (λ 0 )ψ, (3.8) j=0 X(Ω) 0

11 . (i),(ii) (iii) A(λ) A(λ)ψ ϕ (iii) A(λ)ψ ϕ = (λ 0 λ) j A ( j+) (λ 0 )ψ ϕ, (3.9) j=0 A(λ)ψ X(Ω) Banach-Steinhaus (iv) λ (λ T) n v = 0 n = 2 (λ H K)(λ H K)v = (λ H) 2 (id (λ H) 2 K(λ H)) (id (λ H) K)v = 0. (λ H) 2 (id (λ H) 2 K(λ H)) (id (λ H) K)v = 0. (λ H) n A (n) (λ) (id A (2) (λ)k (λ H )) (id A(λ)K ) µ = 0. B (n) (λ) : D(B (n) (λ)) X(Ω) X(Ω) B (n) (λ) = id A (n) (λ)k (λ H ) n (3.0) B (2) (λ)b () (λ)µ = 0 B (n) (λ) A (n) (λ)k (λ H ) n (λ H ) k B ( j) (λ) = B ( j k) (λ)(λ H ) k, j > k (3.) 3.4. T λ V λ = Ker B (m) (λ) B (m ) (λ) B () (λ). (3.2) m dimv λ λ Ker B () (λ) µ V λ M (λ T ) M µ = 0. V λ m Ker (λ T ) m X(Ω) m Ker (λ T ) m V λ

12 3.3 λ = (λ T) T λ ψ = (λ H) ( id K(λ H) ) ψ (3.3) X(Ω) (λ H) A(λ) ˆΩ = Ω I {λ Im(λ) < 0} (id K A(λ)) T λ : ix(ω) X(Ω) λ = A(λ) (id K A(λ)) = (id A(λ)K ) A(λ), λ ˆΩ (3.4) 2 (id A(λ)K )A(λ) = A(λ)(id K A(λ)) id K A(λ) ix(ω) id A(λ)K (A(λ)) A(λ) λ A(λ) i λ i : X(Ω) X(Ω) λ ˆΩ ˆϱ(T) λ V λ ˆΩ (i) λ V λ λ i X(Ω) X(Ω) X(Ω) (ii) ψ X(Ω) { λ i(ψ)} λ V λ X(Ω) *7 ˆσ(T) := ˆΩ\ˆϱ(T) T ˆσ p (T) id K A(λ) λ ˆσ(T) ( ) ˆσ r (T) λ i X(Ω) λ ˆσ(T) ˆσ c (T) = ˆσ(T)\( ˆσ p (T) ˆσ r (T)) ˆϱ(T) ˆϱ(T) X(Ω) Banach Banach [9, 4] X(Ω) Banach i K A(λ)i X(Ω) λ ˆϱ(T) id i K A(λ)i X(Ω) (.3.5) ˆϱ(T) *7 Banach-Steinhaus 2

13 3.8. (i) ψ X(Ω) λ iψ ˆϱ(T) X(Ω) - (ii) Im(λ) < 0 λ i = i (λ T) (ii) Im(λ) < 0 ψ, ϕ X(Ω) λ ψ ϕ = ((λ T) ψ, ϕ) λ ψ ϕ ((λ T) ψ, ϕ). ψ λ = i (id K A(λ)) i(ψ) λ+h i(ψ) λ i(ψ) = (A(λ + h) A(λ))i(ψ λ ) + λ+h i i K (A(λ + h) A(λ))i(ψ λ ) h 0 X(Ω) 0 A(λ) i λ 2 λ+h i i K A(λ)i (ii) Banach-Steinhaus { λ i} λ V λ λ+h i h 0 A(λ) i K A(λ)i X(Ω) λ+h i(ψ) λ i(ψ) h λ i(ψ) X(Ω) 3.9. (i) (λ T ) λ = id ix(ω) (ii) µ X(Ω) (λ T )µ ix(ω) λ (λ T )µ = µ. (iii) T λ = λ T. 3.3 (iii) well-defined 3.4 Σ ˆσ(T) γ Ω I {λ Im(λ) < 0} Π Σ : ix(ω) X(Ω) Π Σ ϕ = 2π λ ϕ dλ, ϕ ix(ω), (3.5) γ 3

14 Pettis *8 Π Σ Π Σ Π Σ Π Σ Σ 3.0. Π Σ (ix(ω)) (id Π Σ )(ix(ω)) = {0} ix(ω) Π Σ (ix(ω)) (id Π Σ )(ix(ω)) X(Ω) (3.7) ϕ X(Ω) µ, µ 2 X(Ω) ϕ i(ϕ) = ϕ = µ + µ 2, µ Π Σ (ix(ω)), µ 2 (id Π Σ )(ix(ω)) (3.8) 3.. Π Σ T - : Π Σ T = T Π Σ λ 0 Π 0 λ 0 V 0 = m Ker B (m) (λ 0 ) B () (λ 0 ) λ 0 Π 0 ix(ω) Π 0 ix(ω) = V 0. Π Π = Π Π λ ( ) 3.2 λ 0 λ = j= (λ 0 λ) j E j E = Π 0 id = (λ T ) λ {E j } j E ˆσ p (T) σ p (T ) ˆσ(T) σ(t) 3.3. C = {Im(λ) < 0} σ p (T) σ(t) T H (i) ˆσ(T) C σ(t) C ˆσ p (T) C σ p (T) C *8 X X S Hausdorff µ S Borel f : S X ϕ X I( f ) ϕ = f ϕ dµ (3.6) S I( f ) X f Pettis I( f ) = f dµ f Pettis S X f Pettis [5] 4

15 (ii) Σ C σ(t) γ σ(t) γ ˆσ(T) λ C σ(t) λ ˆσ(T). λ C λ i = i (λ T) ( 3.8) λ (λ T) (i) X(Ω) ˆσ(T) ˆσ(T; X(Ω)) 2 X (Ω) X 2 (Ω) (X) (X8) 2 ˆσ(T; X (Ω)), ˆσ(T; X 2 (Ω)) 3.4. X 2 (Ω) X (Ω) X 2 (Ω) X (Ω) (i) ˆσ(T; X 2 (Ω)) ˆσ(T; X (Ω)). (ii) Σ ˆσ(T; X (Ω)) γ ˆσ(T; X (Ω)) γ ˆσ(T; X 2 (Ω)) λ ˆσ(T; X (Ω)) λ ˆσ(T; X 2 (Ω)).. λ X (Ω) X (Ω) X 2 (Ω) X 2 (Ω) (i) (ii) Π Σ Π Σ ix (Ω) {0} X 2 (Ω) X (Ω) Π Σ ix 2 (Ω) {0} X(Ω) *9 X X 2 L * 0 U X LU X 2 L = L(λ) λ L(λ) λ U λ X Banach L(λ) λ L(λ) λ (U ) L U X LU X 2 *9 Schrödinger (resonance pole) [5] complex deformation [] Gelfand 3 *0 Banach 5

16 L = L(λ) λ L(λ) λ U λ X Banach L(λ) λ ( )L(λ) λ X 2 Montel Montel ( ) ( ) i K A(λ)i 3.5. λ ˆΩ U λ ˆΩ i K A(λ )i : X(Ω) X(Ω) λ U λ id i K A(λ)i X(Ω) λ ˆσ(T). λ i = A(λ) i (id i K A(λ)i) A(λ) i λ V λ {(id i K A(λ )i) ψ} λ V λ X(Ω) λ (id i K A(λ )i) ψ λ V λ id i K A(λ)i λ λ X(Ω) Banach Neumann Banach Neumann Bruyn [2] X(Ω) Banach i K A(λ)i X(Ω) λ ˆϱ(T) id i K A(λ)i X(Ω) i K A(λ)i 3.6. i K A(λ)i : X(Ω) X(Ω) λ ˆΩ (i) D ˆΩ D ˆσ p (T) ˆΩ (ii) 3.2 (iii) ˆσ c (T) = ˆσ r (T) =. X(Ω) Banach iesz-schauder X(Ω) Banach iesz-schauder (ingrose [6]) T H T 6

17 3.7. T 3.6 I T (H ) I. λ 0 I T (H ) T λ 0 P 0 ϕ = lim ε 0 ε (λ0 + ε T) ϕ, ϕ H, (3.9) H X(Ω) Π 0 i P 0 = Π 0 i P 0 H Π 0 ix(ω) σ p (T) ˆσ p (T) 3.6 ˆσ p (T) 3.6 T = (H +K) H C 0 - e Tt Laplace (e Tt ψ, ϕ) = 2π lim x x y x y e λt ((λ T) ψ, ϕ)dλ, x, y, (3.20) T T t 3.8 ϕ, ψ X(Ω) (e Tt ψ, ϕ) = 2π lim x x y x y e λt λ ψ ϕ dλ, (3.2) 3.6 λ ψ ϕ Π 0 λ 0 M 2π γ 0 e λt λ ψ ϕ dλ = M k=0 e λ0 t ( t) k (λ 0 T ) k Π 0 ψ ϕ, k! λ 0 0 T ( T 7

18 ) (e Tt ψ, ϕ) e Tt ψ H Landau [7] Schrödinger [, 5] λ 0 µ 0 X(Ω) (e Tt ) = ((e Tt ) ) (e Tt ) µ 0 = e λ 0 t µ 0 µ 0 µ 0 X(Ω) X(Ω) T > 0 ε > 0 ϕ 0 X(Ω) 0 t T (e Tt ) ϕ 0 ψ (e Tt ) µ 0 ψ < ε, 0 t T (e Tt ϕ 0, ψ) e λ0 t µ 0 ψ, (3.22) t 4 4. [3, 4] g (z) < ω < g (ω) > 0 g(ω) g(ω) = 0 (ω < ), g (ω) ( < ω < ), 0 (ω > ), (4.) H = L 2 (, g(ω)dω) L 2 H (Hϕ)(ω) = ωϕ(ω) H H σ(h) supp(g) = [, ] (E(ω)ψ, ϕ) := E[ψ, ϕ](ω) = 0 (ω < ), ψ(ω)ϕ(ω)g (ω) ( < ω < ), 0 (ω > ), (4.2) X L 2 (, g(ω)dω) 8

19 g(ω) ψ, ϕ X ((λ H) ψ, ϕ) ω < ω > E[ψ, ϕ](ω) 0 ((λ H) ψ, ϕ) ((λ H) ψ, ϕ) < ω < ((λ H) ψ, ϕ) A(λ)ψ ϕ = λ ω ψ(ω)ϕ(ω)g (ω)dω + 2π ψ(λ)ϕ(λ)g (λ), (4.3) < ω < + n ((λ H) ψ, ϕ) λ ω ψ(ω)ϕ(ω)g (ω)dω + 2π n ψ(λ)ϕ(λ)g (λ), (λ H) X X A(λ) iemann ± P 0 (ω) L 2 (, g(ω)dω) K (Kϕ)(ω) = κ(ϕ, P 0 )P 0 (ω) κ > 0 T := H + K g (.6) K T H σ c (T) = [, ] λ ω g(ω)dω = 0, (4.4) κ λ = x + y, x, y x ω y g(ω)dω = 0, (x ω) 2 + y2 (x ω) 2 + y g(ω)dω = 2 κ. (4.5) g(ω) x = 0 x = 0 κ > 0 κ κ κ y 0 y lim y 0 ω 2 + y g(ω)dω = πg(0) = 2 κ. (4.6) κ (πg(0)) λ(κ) 0 κ = (πg(0)) σ c (T) = [, ] 9

20 T X 3.6 ˆσ c (T) = ˆσ r (T) = 2 iemann 2 iemann λ ω g (ω)dω + 2π g (ω) = 0 (4.7) κ (4.4) κ (πg(0)) (4.4) (4.7) u/ t = Tu e Tt 3.6 Laplace 4 Fig. 4 γ Laplace γ [, ] iemann iemann 2 ± γ 3.6 g(ω) g(ω) ( (4.2) 2 ω ) γ u(t) X t 0 [3, 4] 20

21 4.2 Schrödinger [6] Schrödinger T = + V m V V : m C ( ) H = L 2 ( m ), V H, K H (λ H) ψ(x) = (2π) m/2 m λ ξ e x ξ F [ψ](ξ)dξ, 2 F Fourier S m m m ξ m ξ = rω, r 0, ω S m (λ H) ψ(x) (λ H) ( r m 2 ψ(x) = e rx ω F [ψ]( ) rω)dω dr, (4.8) (2π) m/2 λ r 2 0 S m arg(λ) = 0 H {λ 2π < arg(λ) < 0} L 2 ( m )- f (z) := F [ψ]( zω) λ ( r m 2 e rx ω F [ψ]( ) rω)dω dr (2π) m/2 0 λ r S m 2 + π λ m 2 λx ω F [ψ]( λω)dω, (4.9) (2π) m/2 S m e V X(Ω) a > 0 V e 2a x V(x) L 2 ( m ) (4.0) a > 0 X(Ω) := L 2 ( m, e 2a x dx) X(Ω) L 2 ( m, e 2a x dx) Gelfand 3 L 2 ( m, e 2a x dx) L 2 ( m ) L 2 ( m, e 2a x dx) (4.) T = + K (X) (X8) 3.6 ψ L 2 ( m, e 2a x dx) r F [ψ](rω) {r C a < Im(r) < a} λ F [ψ]( λω) iemann P(a) = {λ a < Im( λ) < a} ψ L 2 ( m, e 2a x dx) (4.9) iemann ( z = 0 ) m [6] [6] 2

22 4.3 Evans [6] Evans E(λ) Evans P Fredholm E(λ) P [7] Evans P P (X) (X8) Gelfand 3 E(λ) [6] [] J. Bonet, On the identity L(E, F) = LB(E, F) for pairs of locally convex spaces E and F, Proc. Amer. Math. Soc. 99 (987), no. 2, [2] G. F. C. de Bruyn, The existence of continuous inverse operators under certain conditions, J. London Math. Soc. 44 (969), [3] H.Chiba, I.Nishikawa, Center manifold reduction for a large population of globally coupled phase oscillators, Chaos, 2, (20) [4] H. Chiba, A proof of the Kuramoto s conjecture for a bifurcation structure of the infinite dimensional Kuramoto model, (submitted, arxiv: ) [5] H. Chiba, A spectral theory of linear operators on rigged Hilbert spaces under certain analyticity conditions, (submitted, arxiv: ) [6] H. Chiba, A spectral theory of linear operators on rigged Hilbert spaces under certain analyticity conditions: applications to Schrödinger operators, (submitted) [7] J. D. Crawford, P. D. Hislop, Application of the method of spectral deformation to the Vlasov-Poisson system, Ann. Physics 89 (989), no. 2, [8] I. M. Gelfand, N. Ya. Vilenkin, Generalized functions. Vol. 4. Applications of harmonic analysis, Academic Press, New York-London, 964 [9] A. Grothendieck, Topological vector spaces, Gordon and Breach Science Publishers, New York-London-Paris, 973 [0] D. Henry, Geometric Theory of Semilinear Parabolic Equations, Springer, (98) [] P. D. Hislop, I. M. Sigal, Introduction to spectral theory. With applications to Schrodinger operators, Springer-Verlag, New York, 996 [2] W. Kerscher,. Nagel, Asymptotic behavior of one-parameter semigroups of positive operators, Acta Appl. Math. 2 (984), [3] H. Komatsu, Projective and injective limits of weakly compact sequences of locally convex spaces, J. Math. Soc. Japan, 9, (967), [4] F. Maeda, emarks on spectra of operators on a locally convex space, Proc. Nat. Acad. Sci. U.S.A. 47, (96) [5] M. eed, B. Simon, Methods of modern mathematical physics IV. Analysis of operators, Academic Press, New York-London, 978 [6] J.. ingrose, Precompact linear operators in locally convex spaces, Proc. Cambridge Philos. Soc. 53 (957), [7] B. Sandstede, Stability of travelling waves, Handbook of dynamical systems, Vol. 2, , North-Holland, Amsterdam, 2002 [8] F. Tréves, Topological vector spaces, distributions and kernels, Academic Press, New York-London, 967 [9] L. Waelbroeck, Locally convex algebras: spectral theory, Seminar on Complex Analysis, Institute of Advanced Study,

1. R n Ω ε G ε 0 Ω ε B n 2 Ωε = with Bu = 0 on Ω ε i=1 x 2 i ε +0 B Bu = u (Dirichlet, D Ω ε ), Bu = u ν (Neumann, N Ω ε ), Ω ε G ( ) / 25

1. R n Ω ε G ε 0 Ω ε B n 2 Ωε = with Bu = 0 on Ω ε i=1 x 2 i ε +0 B Bu = u (Dirichlet, D Ω ε ), Bu = u ν (Neumann, N Ω ε ), Ω ε G ( ) / 25 .. IV 2012 10 4 ( ) 2012 10 4 1 / 25 1. R n Ω ε G ε 0 Ω ε B n 2 Ωε = with Bu = 0 on Ω ε i=1 x 2 i ε +0 B Bu = u (Dirichlet, D Ω ε ), Bu = u ν (Neumann, N Ω ε ), Ω ε G ( ) 2012 10 4 2 / 25 1. Ω ε B ε t

More information

2 (March 13, 2010) N Λ a = i,j=1 x i ( d (a) i,j x j ), Λ h = N i,j=1 x i ( d (h) i,j x j ) B a B h B a = N i,j=1 ν i d (a) i,j, B h = x j N i,j=1 ν i

2 (March 13, 2010) N Λ a = i,j=1 x i ( d (a) i,j x j ), Λ h = N i,j=1 x i ( d (h) i,j x j ) B a B h B a = N i,j=1 ν i d (a) i,j, B h = x j N i,j=1 ν i 1. A. M. Turing [18] 60 Turing A. Gierer H. Meinhardt [1] : (GM) ) a t = D a a xx µa + ρ (c a2 h + ρ 0 (0 < x < l, t > 0) h t = D h h xx νh + c ρ a 2 (0 < x < l, t > 0) a x = h x = 0 (x = 0, l) a = a(x,

More information

第5章 偏微分方程式の境界値問題

第5章 偏微分方程式の境界値問題 October 5, 2018 1 / 113 4 ( ) 2 / 113 Poisson 5.1 Poisson ( A.7.1) Poisson Poisson 1 (A.6 ) Γ p p N u D Γ D b 5.1.1: = Γ D Γ N 3 / 113 Poisson 5.1.1 d {2, 3} Lipschitz (A.5 ) Γ D Γ N = \ Γ D Γ p Γ N Γ

More information

xia2.dvi

xia2.dvi Journal of Differential Equations 96 (992), 70-84 Melnikov method and transversal homoclinic points in the restricted three-body problem Zhihong Xia Department of Mathematics, Harvard University Cambridge,

More information

Hilbert, von Neuman [1, p.86] kt 2 1 [1, 2] 2 2

Hilbert, von Neuman [1, p.86] kt 2 1 [1, 2] 2 2 hara@math.kyushu-u.ac.jp 1 1 1.1............................................... 2 1.2............................................. 3 2 3 3 5 3.1............................................. 6 3.2...................................

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

2 G(k) e ikx = (ik) n x n n! n=0 (k ) ( ) X n = ( i) n n k n G(k) k=0 F (k) ln G(k) = ln e ikx n κ n F (k) = F (k) (ik) n n= n! κ n κ n = ( i) n n k n

2 G(k) e ikx = (ik) n x n n! n=0 (k ) ( ) X n = ( i) n n k n G(k) k=0 F (k) ln G(k) = ln e ikx n κ n F (k) = F (k) (ik) n n= n! κ n κ n = ( i) n n k n . X {x, x 2, x 3,... x n } X X {, 2, 3, 4, 5, 6} X x i P i. 0 P i 2. n P i = 3. P (i ω) = i ω P i P 3 {x, x 2, x 3,... x n } ω P i = 6 X f(x) f(x) X n n f(x i )P i n x n i P i X n 2 G(k) e ikx = (ik) n

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

A spectral theory of linear operators on Gelfand triplets (New Developments in Geometric Mechanics)

A spectral theory of linear operators on Gelfand triplets (New Developments in Geometric Mechanics) 1774 2012 78-99 78 A spectral theory of linear operators on Gelfand triplets MI (Institute of Mathematics for Industry, Kyushu University) (Hayato CHIBA) chiba\copyright imikyushu-uacjp Dec 21, 2011 1

More information

1 M = (M, g) m Riemann N = (N, h) n Riemann M N C f : M N f df : T M T N M T M f N T N M f 1 T N T M f 1 T N C X, Y Γ(T M) M C T M f 1 T N M Levi-Civi

1 M = (M, g) m Riemann N = (N, h) n Riemann M N C f : M N f df : T M T N M T M f N T N M f 1 T N T M f 1 T N C X, Y Γ(T M) M C T M f 1 T N M Levi-Civi 1 Surveys in Geometry 1980 2 6, 7 Harmonic Map Plateau Eells-Sampson [5] Siu [19, 20] Kähler 6 Reports on Global Analysis [15] Sacks- Uhlenbeck [18] Siu-Yau [21] Frankel Siu Yau Frankel [13] 1 Surveys

More information

Feynman Encounter with Mathematics 52, [1] N. Kumano-go, Feynman path integrals as analysis on path space by time slicing approximation. Bull

Feynman Encounter with Mathematics 52, [1] N. Kumano-go, Feynman path integrals as analysis on path space by time slicing approximation. Bull Feynman Encounter with Mathematics 52, 200 9 [] N. Kumano-go, Feynman path integrals as analysis on path space by time slicing approximation. Bull. Sci. Math. vol. 28 (2004) 97 25. [2] D. Fujiwara and

More information

takei.dvi

takei.dvi 0 Newton Leibniz ( ) α1 ( ) αn (1) a α1,...,α n (x) u(x) = f(x) x 1 x n α 1 + +α n m 1957 Hans Lewy Lewy 1970 1 1.1 Example 1.1. (2) d 2 u dx 2 Q(x)u = f(x), u(0) = a, 1 du (0) = b. dx Q(x), f(x) x = 0

More information

163 KdV KP Lax pair L, B L L L 1/2 W 1 LW = ( / x W t 1, t 2, t 3, ψ t n ψ/ t n = B nψ (KdV B n = L n/2 KP B n = L n KdV KP Lax W Lax τ KP L ψ τ τ Cha

163 KdV KP Lax pair L, B L L L 1/2 W 1 LW = ( / x W t 1, t 2, t 3, ψ t n ψ/ t n = B nψ (KdV B n = L n/2 KP B n = L n KdV KP Lax W Lax τ KP L ψ τ τ Cha 63 KdV KP Lax pair L, B L L L / W LW / x W t, t, t 3, ψ t n / B nψ KdV B n L n/ KP B n L n KdV KP Lax W Lax τ KP L ψ τ τ Chapter 7 An Introduction to the Sato Theory Masayui OIKAWA, Faculty of Engneering,

More information

sakigake1.dvi

sakigake1.dvi (Zin ARAI) arai@cris.hokudai.ac.jp http://www.cris.hokudai.ac.jp/arai/ 1 dynamical systems ( mechanics ) dynamical systems 3 G X Ψ:G X X, (g, x) Ψ(g, x) =:Ψ g (x) Ψ id (x) =x, Ψ gh (x) =Ψ h (Ψ g (x)) (

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

Anderson ( ) Anderson / 14

Anderson ( ) Anderson / 14 Anderson 2008 12 ( ) Anderson 2008 12 1 / 14 Anderson ( ) Anderson 2008 12 2 / 14 Anderson P.W.Anderson 1958 ( ) Anderson 2008 12 3 / 14 Anderson tight binding Anderson tight binding Z d u (x) = V i u

More information

2.1 H f 3, SL(2, Z) Γ k (1) f H (2) γ Γ f k γ = f (3) f Γ \H cusp γ SL(2, Z) f k γ Fourier f k γ = a γ (n)e 2πinz/N n=0 (3) γ SL(2, Z) a γ (0) = 0 f c

2.1 H f 3, SL(2, Z) Γ k (1) f H (2) γ Γ f k γ = f (3) f Γ \H cusp γ SL(2, Z) f k γ Fourier f k γ = a γ (n)e 2πinz/N n=0 (3) γ SL(2, Z) a γ (0) = 0 f c GL 2 1 Lie SL(2, R) GL(2, A) Gelbart [Ge] 1 3 [Ge] Jacquet-Langlands [JL] Bump [Bu] Borel([Bo]) ([Ko]) ([Mo]) [Mo] 2 2.1 H = {z C Im(z) > 0} Γ SL(2, Z) Γ N N Γ (N) = {γ SL(2, Z) γ = 1 2 mod N} g SL(2,

More information

4 2 Rutherford 89 Rydberg λ = R ( n 2 ) n 2 n = n +,n +2, n = Lyman n =2 Balmer n =3 Paschen R Rydberg R = cm 896 Zeeman Zeeman Zeeman Lorentz

4 2 Rutherford 89 Rydberg λ = R ( n 2 ) n 2 n = n +,n +2, n = Lyman n =2 Balmer n =3 Paschen R Rydberg R = cm 896 Zeeman Zeeman Zeeman Lorentz 2 Rutherford 2. Rutherford N. Bohr Rutherford 859 Kirchhoff Bunsen 86 Maxwell Maxwell 885 Balmer λ Balmer λ = 364.56 n 2 n 2 4 Lyman, Paschen 3 nm, n =3, 4, 5, 4 2 Rutherford 89 Rydberg λ = R ( n 2 ) n

More information

k + (1/2) S k+(1/2) (Γ 0 (N)) N p Hecke T k+(1/2) (p 2 ) S k+1/2 (Γ 0 (N)) M > 0 2k, M S 2k (Γ 0 (M)) Hecke T 2k (p) (p M) 1.1 ( ). k 2 M N M N f S k+

k + (1/2) S k+(1/2) (Γ 0 (N)) N p Hecke T k+(1/2) (p 2 ) S k+1/2 (Γ 0 (N)) M > 0 2k, M S 2k (Γ 0 (M)) Hecke T 2k (p) (p M) 1.1 ( ). k 2 M N M N f S k+ 1 SL 2 (R) γ(z) = az + b cz + d ( ) a b z h, γ = SL c d 2 (R) h 4 N Γ 0 (N) {( ) } a b Γ 0 (N) = SL c d 2 (Z) c 0 mod N θ(z) θ(z) = q n2 q = e 2π 1z, z h n Z Γ 0 (4) j(γ, z) ( ) a b θ(γ(z)) = j(γ, z)θ(z)

More information

main.dvi

main.dvi SGC - 70 2, 3 23 ɛ-δ 2.12.8 3 2.92.13 4 2 3 1 2.1 2.102.12 [8][14] [1],[2] [4][7] 2 [4] 1 2009 8 1 1 1.1... 1 1.2... 4 1.3 1... 8 1.4 2... 9 1.5... 12 1.6 1... 16 1.7... 18 1.8... 21 1.9... 23 2 27 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

²ÄÀÑʬΥ»¶ÈóÀþ·¿¥·¥å¥ì¡¼¥Ç¥£¥ó¥¬¡¼ÊýÄø¼°¤ÎÁ²¶á²òÀÏ Asymptotic analysis for the integrable discrete nonlinear Schrödinger equation

²ÄÀÑʬΥ»¶ÈóÀþ·¿¥·¥å¥ì¡¼¥Ç¥£¥ó¥¬¡¼ÊýÄø¼°¤ÎÁ²¶á²òÀÏ  Asymptotic analysis for the integrable discrete nonlinear Schrödinger equation Asymptotic analysis for the integrable discrete nonlinear Schrödinger equation ( ) ( ) 2016 12 17 1. Schrödinger focusing NLS iu t + u xx +2 u 2 u = 0 u(x, t) =2ηe 2iξx 4i(ξ2 η 2 )t+i(ψ 0 +π/2) sech(2ηx

More information

1

1 1 Borel1956 Groupes linéaire algébriques, Ann. of Math. 64 (1956), 20 82. Chevalley1956/58 Sur la classification des groupes de Lie algébriques, Sém. Chevalley 1956/58, E.N.S., Paris. Tits1959 Sur la classification

More information

ver.1 / c /(13)

ver.1 / c /(13) 1 -- 11 1 c 2010 1/(13) 1 -- 11 -- 1 1--1 1--1--1 2009 3 t R x R n 1 ẋ = f(t, x) f = ( f 1,, f n ) f x(t) = ϕ(x 0, t) x(0) = x 0 n f f t 1--1--2 2009 3 q = (q 1,..., q m ), p = (p 1,..., p m ) x = (q,

More information

App. of Leb. Integral Theory (S. Hiraba) Lebesgue (X, F, µ) (measure space)., X, 2 X, F 2 X σ (σ-field), i.e., (1) F, (2) A F = A c F, (3)

App. of Leb. Integral Theory (S. Hiraba) Lebesgue (X, F, µ) (measure space)., X, 2 X, F 2 X σ (σ-field), i.e., (1) F, (2) A F = A c F, (3) Lebesgue (Applications of Lebesgue Integral Theory) (Seiji HIABA) 1 1 1.1 1 Lebesgue........................ 1 1.2 2 Fubini...................... 2 2 L p 5 2.1 Banach, Hilbert..............................

More information

Shunsuke Kobayashi 1 [6] [11] [7] u t = D 2 u 1 x 2 + f(u, v) + s L u(t, x)dx, L x (0.L), t > 0, Neumann 0 v t = D 2 v 2 + g(u, v), x (0, L), t > 0. x

Shunsuke Kobayashi 1 [6] [11] [7] u t = D 2 u 1 x 2 + f(u, v) + s L u(t, x)dx, L x (0.L), t > 0, Neumann 0 v t = D 2 v 2 + g(u, v), x (0, L), t > 0. x Shunsuke Kobayashi [6] [] [7] u t = D 2 u x 2 + fu, v + s L ut, xdx, L x 0.L, t > 0, Neumann 0 v t = D 2 v 2 + gu, v, x 0, L, t > 0. x2 u u v t, 0 = t, L = 0, x x. v t, 0 = t, L = 0.2 x x ut, x R vt, x

More information

Macdonald, ,,, Macdonald. Macdonald,,,,,.,, Gauss,,.,, Lauricella A, B, C, D, Gelfand, A,., Heckman Opdam.,,,.,,., intersection,. Macdona

Macdonald, ,,, Macdonald. Macdonald,,,,,.,, Gauss,,.,, Lauricella A, B, C, D, Gelfand, A,., Heckman Opdam.,,,.,,., intersection,. Macdona Macdonald, 2015.9.1 9.2.,,, Macdonald. Macdonald,,,,,.,, Gauss,,.,, Lauricella A, B, C, D, Gelfand, A,., Heckman Opdam.,,,.,,., intersection,. Macdonald,, q., Heckman Opdam q,, Macdonald., 1 ,,. Macdonald,

More information

.2 ρ dv dt = ρk grad p + 3 η grad (divv) + η 2 v.3 divh = 0, rote + c H t = 0 dive = ρ, H = 0, E = ρ, roth c E t = c ρv E + H c t = 0 H c E t = c ρv T

.2 ρ dv dt = ρk grad p + 3 η grad (divv) + η 2 v.3 divh = 0, rote + c H t = 0 dive = ρ, H = 0, E = ρ, roth c E t = c ρv E + H c t = 0 H c E t = c ρv T NHK 204 2 0 203 2 24 ( ) 7 00 7 50 203 2 25 ( ) 7 00 7 50 203 2 26 ( ) 7 00 7 50 203 2 27 ( ) 7 00 7 50 I. ( ν R n 2 ) m 2 n m, R = e 2 8πε 0 hca B =.09737 0 7 m ( ν = ) λ a B = 4πε 0ħ 2 m e e 2 = 5.2977

More information

Lebesgue Fubini L p Banach, Hilbert Höld

Lebesgue Fubini L p Banach, Hilbert Höld II (Analysis II) Lebesgue (Applications of Lebesgue Integral Theory) 1 (Seiji HIABA) 1 ( ),,, ( ) 1 1 1.1 1 Lebesgue........................ 1 1.2 2 Fubini...................... 2 2 L p 5 2.1 Banach, Hilbert..............................

More information

I ( ) 1 de Broglie 1 (de Broglie) p λ k h Planck ( Js) p = h λ = k (1) h 2π : Dirac k B Boltzmann ( J/K) T U = 3 2 k BT

I ( ) 1 de Broglie 1 (de Broglie) p λ k h Planck ( Js) p = h λ = k (1) h 2π : Dirac k B Boltzmann ( J/K) T U = 3 2 k BT I (008 4 0 de Broglie (de Broglie p λ k h Planck ( 6.63 0 34 Js p = h λ = k ( h π : Dirac k B Boltzmann (.38 0 3 J/K T U = 3 k BT ( = λ m k B T h m = 0.067m 0 m 0 = 9. 0 3 kg GaAs( a T = 300 K 3 fg 07345

More information

* 1 1 (i) (ii) Brückner-Hartree-Fock (iii) (HF, BCS, HFB) (iv) (TDHF,TDHFB) (RPA) (QRPA) (v) (vi) *

* 1 1 (i) (ii) Brückner-Hartree-Fock (iii) (HF, BCS, HFB) (iv) (TDHF,TDHFB) (RPA) (QRPA) (v) (vi) * * 1 1 (i) (ii) Brückner-Hartree-Fock (iii) (HF, BCS, HFB) (iv) (TDHF,TDHFB) (RPA) (QRPA) (v) (vi) *1 2004 1 1 ( ) ( ) 1.1 140 MeV 1.2 ( ) ( ) 1.3 2.6 10 8 s 7.6 10 17 s? Λ 2.5 10 10 s 6 10 24 s 1.4 ( m

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

2016 Course Description of Undergraduate Seminars (2015 12 16 ) 2016 12 16 ( ) 13:00 15:00 12 16 ( ) 1 21 ( ) 1 13 ( ) 17:00 1 14 ( ) 12:00 1 21 ( ) 15:00 1 27 ( ) 13:00 14:00 2 1 ( ) 17:00 2 3 ( ) 12

More information

Mazur [Ma1] Schlessinger [Sch] [SL] [Ma1] [Ma1] [Ma2] Galois [] 17 R m R R R M End R M) M R ut R M) M R R G R[G] R G Sets 1 Λ Noether Λ k Λ m Λ k C Λ

Mazur [Ma1] Schlessinger [Sch] [SL] [Ma1] [Ma1] [Ma2] Galois [] 17 R m R R R M End R M) M R ut R M) M R R G R[G] R G Sets 1 Λ Noether Λ k Λ m Λ k C Λ Galois ) 0 1 1 2 2 4 3 10 4 12 5 14 16 0 Galois Galois Galois TaylorWiles Fermat [W][TW] Galois Galois Galois 1 Noether 2 1 Mazur [Ma1] Schlessinger [Sch] [SL] [Ma1] [Ma1] [Ma2] Galois [] 17 R m R R R

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

V(x) m e V 0 cos x π x π V(x) = x < π, x > π V 0 (i) x = 0 (V(x) V 0 (1 x 2 /2)) n n d 2 f dξ 2ξ d f 2 dξ + 2n f = 0 H n (ξ) (ii) H

V(x) m e V 0 cos x π x π V(x) = x < π, x > π V 0 (i) x = 0 (V(x) V 0 (1 x 2 /2)) n n d 2 f dξ 2ξ d f 2 dξ + 2n f = 0 H n (ξ) (ii) H 199 1 1 199 1 1. Vx) m e V cos x π x π Vx) = x < π, x > π V i) x = Vx) V 1 x /)) n n d f dξ ξ d f dξ + n f = H n ξ) ii) H n ξ) = 1) n expξ ) dn dξ n exp ξ )) H n ξ)h m ξ) exp ξ )dξ = π n n!δ n,m x = Vx)

More information

(2 X Poisso P (λ ϕ X (t = E[e itx ] = k= itk λk e k! e λ = (e it λ k e λ = e eitλ e λ = e λ(eit 1. k! k= 6.7 X N(, 1 ϕ X (t = e 1 2 t2 : Cauchy ϕ X (t

(2 X Poisso P (λ ϕ X (t = E[e itx ] = k= itk λk e k! e λ = (e it λ k e λ = e eitλ e λ = e λ(eit 1. k! k= 6.7 X N(, 1 ϕ X (t = e 1 2 t2 : Cauchy ϕ X (t 6 6.1 6.1 (1 Z ( X = e Z, Y = Im Z ( Z = X + iy, i = 1 (2 Z E[ e Z ] < E[ Im Z ] < Z E[Z] = E[e Z] + ie[im Z] 6.2 Z E[Z] E[ Z ] : E[ Z ] < e Z Z, Im Z Z E[Z] α = E[Z], Z = Z Z 1 {Z } E[Z] = α = α [ α ]

More information

三石貴志.indd

三石貴志.indd 流通科学大学論集 - 経済 情報 政策編 - 第 21 巻第 1 号,23-33(2012) SIRMs SIRMs Fuzzy fuzzyapproximate approximatereasoning reasoningusing using Lukasiewicz Łukasiewicz logical Logical operations Operations Takashi Mitsuishi

More information

( ) (, ) ( )

( ) (, ) ( ) ( ) (, ) ( ) 1 2 2 2 2.1......................... 2 2.2.............................. 3 2.3............................... 4 2.4.............................. 5 2.5.............................. 6 2.6..........................

More information

第1章 微分方程式と近似解法

第1章 微分方程式と近似解法 April 12, 2018 1 / 52 1.1 ( ) 2 / 52 1.2 1.1 1.1: 3 / 52 1.3 Poisson Poisson Poisson 1 d {2, 3} 4 / 52 1 1.3.1 1 u,b b(t,x) u(t,x) x=0 1.1: 1 a x=l 1.1 1 (0, t T ) (0, l) 1 a b : (0, t T ) (0, l) R, u

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

2 2 L 5 2. L L L L k.....

2 2 L 5 2. L L L L k..... L 528 206 2 9 2 2 L 5 2. L........................... 5 2.2 L................................... 7 2............................... 9. L..................2 L k........................ 2 4 I 5 4. I...................................

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

Design of highly accurate formulas for numerical integration in weighted Hardy spaces with the aid of potential theory 1 Ken ichiro Tanaka 1 Ω R m F I = F (t) dt (1.1) Ω m m 1 m = 1 1 Newton-Cotes Gauss

More information

, CH n. CH n, CP n,,,., CH n,,. RH n ( Cartan )., CH n., RH n CH n,,., RH n, CH n., RH n ( ), CH n ( 1.1 (v), (vi) )., RH n,, CH n,., CH n,. 1.2, CH n

, CH n. CH n, CP n,,,., CH n,,. RH n ( Cartan )., CH n., RH n CH n,,., RH n, CH n., RH n ( ), CH n ( 1.1 (v), (vi) )., RH n,, CH n,., CH n,. 1.2, CH n ( ), Jürgen Berndt,.,. 1, CH n.,,. 1.1 ([6]). CH n (n 2), : (i) CH k (k = 0,..., n 1) tube. (ii) RH n tube. (iii). (iv) ruled minimal, equidistant. (v) normally homogeneous submanifold F k tube. (vi) normally

More information

18 2 F 12 r 2 r 1 (3) Coulomb km Coulomb M = kg F G = ( ) ( ) ( ) 2 = [N]. Coulomb

18 2 F 12 r 2 r 1 (3) Coulomb km Coulomb M = kg F G = ( ) ( ) ( ) 2 = [N]. Coulomb r 1 r 2 r 1 r 2 2 Coulomb Gauss Coulomb 2.1 Coulomb 1 2 r 1 r 2 1 2 F 12 2 1 F 21 F 12 = F 21 = 1 4πε 0 1 2 r 1 r 2 2 r 1 r 2 r 1 r 2 (2.1) Coulomb ε 0 = 107 4πc 2 =8.854 187 817 10 12 C 2 N 1 m 2 (2.2)

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

0. I II I II (1) linear type: GL( ), Sp( ), O( ), (2) loop type: loop current Kac-Moody affine, hyperbolic (3) diffeo t

0. I II I II (1) linear type: GL( ), Sp( ), O( ), (2) loop type: loop current Kac-Moody affine, hyperbolic (3) diffeo t e-mail: koyama@math.keio.ac.jp 0. I II I II (1) linear type: GL( ), Sp( ), O( ), (2) loop type: loop current Kac-Moody affine, hyperbolic (3) diffeo type: diffeo universal Teichmuller modular I. I-. Weyl

More information

note1.dvi

note1.dvi (1) 1996 11 7 1 (1) 1. 1 dx dy d x τ xx x x, stress x + dx x τ xx x+dx dyd x x τ xx x dyd y τ xx x τ xx x+dx d dx y x dy 1. dx dy d x τ xy x τ x ρdxdyd x dx dy d ρdxdyd u x t = τ xx x+dx dyd τ xx x dyd

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

. Mac Lane [ML98]. 1 2 (strict monoidal category) S 1 R 3 A S 1 [0, 1] C 2 C End C (1) C 4 1 U q (sl 2 ) Drinfeld double. 6 2

. Mac Lane [ML98]. 1 2 (strict monoidal category) S 1 R 3 A S 1 [0, 1] C 2 C End C (1) C 4 1 U q (sl 2 ) Drinfeld double. 6 2 2014 6 30. 2014 3 1 6 (Hopf algebra) (group) Andruskiewitsch-Santos [AFS09] 1980 Drinfeld (quantum group) Lie Lie (ribbon Hopf algebra) (ribbon category) Turaev [Tur94] Kassel [Kas95] (PD) x12005i@math.nagoya-u.ac.jp

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

QMI_09.dvi

QMI_09.dvi 25 3 19 Erwin Schrödinger 1925 3.1 3.1.1 3.1.2 σ τ 2 2 ux, t) = ux, t) 3.1) 2 x2 ux, t) σ τ 2 u/ 2 m p E E = p2 3.2) E ν ω E = hν = hω. 3.3) k p k = p h. 3.4) 26 3 hω = E = p2 = h2 k 2 ψkx ωt) ψ 3.5) h

More information

QMI_10.dvi

QMI_10.dvi 25 3 19 Erwin Schrödinger 1925 3.1 3.1.1 σ τ x u u x t ux, t) u 3.1 t x P ux, t) Q θ P Q Δx x + Δx Q P ux + Δx, t) Q θ P u+δu x u x σ τ P x) Q x+δx) P Q x 3.1: θ P θ Q P Q equation of motion P τ Q τ σδx

More information

Trapezoidal Rule θ = 1/ x n x n 1 t = 1 [f(t n 1, x n 1 ) + f(t n, x n )] (6) 1. dx dt = f(t, x), x(t 0) = x 0 (7) t [t 0, t 1 ] f t [t 0, t 1 ], x x

Trapezoidal Rule θ = 1/ x n x n 1 t = 1 [f(t n 1, x n 1 ) + f(t n, x n )] (6) 1. dx dt = f(t, x), x(t 0) = x 0 (7) t [t 0, t 1 ] f t [t 0, t 1 ], x x University of Hyogo 8 8 1 d x(t) =f(t, x(t)), dt (1) x(t 0 ) =x 0 () t n = t 0 + n t x x n n x n x 0 x i i = 0,..., n 1 x n x(t) 1 1.1 1 1 1 0 θ 1 θ x n x n 1 t = θf(t n 1, x n 1 ) + (1 θ)f(t n, x n )

More information

July 28, H H 0 H int = H H 0 H int = H int (x)d 3 x Schrödinger Picture Ψ(t) S =e iht Ψ H O S Heisenberg Picture Ψ H O H (t) =e iht O S e i

July 28, H H 0 H int = H H 0 H int = H int (x)d 3 x Schrödinger Picture Ψ(t) S =e iht Ψ H O S Heisenberg Picture Ψ H O H (t) =e iht O S e i July 8, 4. H H H int H H H int H int (x)d 3 x Schrödinger Picture Ψ(t) S e iht Ψ H O S Heisenberg Picture Ψ H O H (t) e iht O S e iht Interaction Picture Ψ(t) D e iht Ψ(t) S O D (t) e iht O S e ih t (Dirac

More information

compact compact Hermann compact Hermite ( - ) Hermann Hermann ( ) compact Hermite Lagrange compact Hermite ( ) a, Σ a {0} a 3 1

compact compact Hermann compact Hermite ( - ) Hermann Hermann ( ) compact Hermite Lagrange compact Hermite ( ) a, Σ a {0} a 3 1 014 5 4 compact compact Hermann compact Hermite ( - ) Hermann Hermann ( ) compact Hermite Lagrange compact Hermite ( ) 1 1.1. a, Σ a {0} a 3 1 (1) a = span(σ). () α, β Σ s α β := β α,β α α Σ. (3) α, β

More information

chap9.dvi

chap9.dvi 9 AR (i) (ii) MA (iii) (iv) (v) 9.1 2 1 AR 1 9.1.1 S S y j = (α i + β i j) D ij + η j, η j = ρ S η j S + ε j (j =1,,T) (1) i=1 {ε j } i.i.d(,σ 2 ) η j (j ) D ij j i S 1 S =1 D ij =1 S>1 S =4 (1) y j =

More information

ADM-Hamiltonian Cheeger-Gromov 3. Penrose

ADM-Hamiltonian Cheeger-Gromov 3. Penrose ADM-Hamiltonian 1. 2. Cheeger-Gromov 3. Penrose 0. ADM-Hamiltonian (M 4, h) Einstein-Hilbert M 4 R h hdx L h = R h h δl h = 0 (Ric h ) αβ 1 2 R hg αβ = 0 (Σ 3, g ij ) (M 4, h ij ) g ij, k ij Σ π ij = g(k

More information

kokyuroku.dvi

kokyuroku.dvi On Applications of Rigorous Computing to Dynamical Systems (Zin ARAI) Department of Mathematics, Kyoto University email: arai@math.kyoto-u.ac.jp 1 [12, 13] Lorenz 2 Lorenz 3 4 2 Lorenz 2.1 Lorenz E. Lorenz

More information

2 5W1H = a) [ ]= (= ) : b) [ ] : c) [ ] = (to characterize the observed system) : d) [ ] (: ) 2

2 5W1H = a) [ ]= (= ) : b) [ ] : c) [ ] = (to characterize the observed system) : d) [ ] (: ) 2 1 vs. 90 mescoscopic physics 1 2 5W1H = a) [ ]= (= ) : b) [ ] : c) [ ] = (to characterize the observed system) : d) [ ] (: ) 2 (: ) [1]: 1. Newton =[( ) vs. ] (a) =0 x v ( p = mv) [ a), b), c)] (b) = :

More information

C 1 -path x t x 1 (f(x u), dx u ) rough path analyi p-variation (1 < p < 2) rough path 2 Introduction f(x) = (fj i(x)) 1 i n,1 j d (x R d ) (n, d) Cb

C 1 -path x t x 1 (f(x u), dx u ) rough path analyi p-variation (1 < p < 2) rough path 2 Introduction f(x) = (fj i(x)) 1 i n,1 j d (x R d ) (n, d) Cb Rough path analyi 1 x t ( t 1) R d path f(x) = t (f 1 (x),, f d (x)) R d R d - C x t 1 (f(x u), dx u ) Stieltje path x t p-variation norm (1 < p < 2) x p := { up D } 1/p N x ti x ti 1 p (D = { = t <

More information

Relaxation scheme of Besse t t n = n t, u n = u(t n ) (n = 0, 1,,...)., t u(t) = F (u(t)) (1). (1), u n+1 u n t = F (u n ) u n+1 = u n + tf (u n )., t

Relaxation scheme of Besse t t n = n t, u n = u(t n ) (n = 0, 1,,...)., t u(t) = F (u(t)) (1). (1), u n+1 u n t = F (u n ) u n+1 = u n + tf (u n )., t RIMS 011 5 3 7 relaxation sheme of Besse splitting method Scilab Scilab http://www.scilab.org/ Google Scilab Scilab Mathieu Colin Mathieu Colin 1 Relaxation scheme of Besse t t n = n t, u n = u(t n ) (n

More information

30

30 3 ............................................2 2...........................................2....................................2.2...................................2.3..............................

More information

Centralizers of Cantor minimal systems

Centralizers of Cantor minimal systems Centralizers of Cantor minimal systems 1 X X X φ (X, φ) (X, φ) φ φ 2 X X X Homeo(X) Homeo(X) φ Homeo(X) x X Orb φ (x) = { φ n (x) ; n Z } x φ x Orb φ (x) X Orb φ (x) x n N 1 φ n (x) = x 1. (X, φ) (i) (X,

More information

9 1. (Ti:Al 2 O 3 ) (DCM) (Cr:Al 2 O 3 ) (Cr:BeAl 2 O 4 ) Ĥ0 ψ n (r) ω n Schrödinger Ĥ 0 ψ n (r) = ω n ψ n (r), (1) ω i ψ (r, t) = [Ĥ0 + Ĥint (

9 1. (Ti:Al 2 O 3 ) (DCM) (Cr:Al 2 O 3 ) (Cr:BeAl 2 O 4 ) Ĥ0 ψ n (r) ω n Schrödinger Ĥ 0 ψ n (r) = ω n ψ n (r), (1) ω i ψ (r, t) = [Ĥ0 + Ĥint ( 9 1. (Ti:Al 2 O 3 ) (DCM) (Cr:Al 2 O 3 ) (Cr:BeAl 2 O 4 ) 2. 2.1 Ĥ ψ n (r) ω n Schrödinger Ĥ ψ n (r) = ω n ψ n (r), (1) ω i ψ (r, t) = [Ĥ + Ĥint (t)] ψ (r, t), (2) Ĥ int (t) = eˆxe cos ωt ˆdE cos ωt, (3)

More information

QMI13a.dvi

QMI13a.dvi I (2013 (MAEDA, Atsutaka) 25 10 15 [ I I [] ( ) 0. (a) (b) Plank Compton de Broglie Bohr 1. (a) Einstein- de Broglie (b) (c) 1 (d) 2. Schrödinger (a) Schrödinger (b) Schrödinger (c) (d) 3. (a) (b) (c)

More information

Grushin 2MA16039T

Grushin 2MA16039T Grushin 2MA1639T 3 2 2 R d Borel α i k (x, bi (x, 1 i d, 1 k N d N α R d b α = α(x := (αk(x i 1 i d, 1 k N b = b(x := (b i (x 1 i d X = (X t t x R d dx t = α(x t db t + b(x t dt ( 3 u t = Au + V u, u(,

More information

( 3) b 1 b : b b f : a b 1 b f = f (2.7) g : b c g 1 b = g (2.8) 1 b b (identity arrow) id b f a b g f 1 b b c g (2.9) 3 C C C a, b a b Hom C (a, b) h

( 3) b 1 b : b b f : a b 1 b f = f (2.7) g : b c g 1 b = g (2.8) 1 b b (identity arrow) id b f a b g f 1 b b c g (2.9) 3 C C C a, b a b Hom C (a, b) h 2011 9 5 1 Lie 1 2 2.1 (category) (object) a, b, c, a b (arrow, morphism) f : a b (2.1) f a b (2.2) ( 1) f : a b g : b c (composite) g f : a c ( 2) f f a b g f g c g h (2.3) a b c d (2.4) h (g f) = (h

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

1 α X (path) α I = [0, 1] X α(0) = α(1) = p α p (base point) loop α(1) = β(0) X α, β α β : I X (α β)(s) = ( )α β { α(2s) (0 s 1 2 ) β(2s 1) ( 1 2 s 1)

1 α X (path) α I = [0, 1] X α(0) = α(1) = p α p (base point) loop α(1) = β(0) X α, β α β : I X (α β)(s) = ( )α β { α(2s) (0 s 1 2 ) β(2s 1) ( 1 2 s 1) 1 α X (path) α I = [0, 1] X α(0) = α(1) = p α p (base point) loop α(1) = β(0) X α, β α β : I X (α β)(s) = ( )α β { α(2s) (0 s 1 2 ) β(2s 1) ( 1 2 s 1) X α α 1 : I X α 1 (s) = α(1 s) ( )α 1 1.1 X p X Ω(p)

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

Chebyshev Schrödinger Heisenberg H = 1 2m p2 + V (x), m = 1, h = 1 1/36 1 V (x) = { 0 (0 < x < L) (otherwise) ψ n (x) = 2 L sin (n + 1)π x L, n = 0, 1, 2,... Feynman K (a, b; T ) = e i EnT/ h ψ n (a)ψ

More information

006 11 8 0 3 1 5 1.1..................... 5 1......................... 6 1.3.................... 6 1.4.................. 8 1.5................... 8 1.6................... 10 1.6.1......................

More information

( ) ) ) ) 5) 1 J = σe 2 6) ) 9) 1955 Statistical-Mechanical Theory of Irreversible Processes )

( ) ) ) ) 5) 1 J = σe 2 6) ) 9) 1955 Statistical-Mechanical Theory of Irreversible Processes ) ( 3 7 4 ) 2 2 ) 8 2 954 2) 955 3) 5) J = σe 2 6) 955 7) 9) 955 Statistical-Mechanical Theory of Irreversible Processes 957 ) 3 4 2 A B H (t) = Ae iωt B(t) = B(ω)e iωt B(ω) = [ Φ R (ω) Φ R () ] iω Φ R (t)

More information

A 2 3. m S m = {x R m+1 x = 1} U + k = {x S m x k > 0}, U k = {x S m x k < 0}, ϕ ± k (x) = (x 0,..., ˆx k,... x m ) 1. {(U ± k, ϕ± k ) 0 k m} S m 1.2.

A 2 3. m S m = {x R m+1 x = 1} U + k = {x S m x k > 0}, U k = {x S m x k < 0}, ϕ ± k (x) = (x 0,..., ˆx k,... x m ) 1. {(U ± k, ϕ± k ) 0 k m} S m 1.2. A A 1 A 5 A 6 1 2 3 4 5 6 7 1 1.1 1.1 (). Hausdorff M R m M M {U α } U α R m E α ϕ α : U α E α U α U β = ϕ α (ϕ β ϕβ (U α U β )) 1 : ϕ β (U α U β ) ϕ α (U α U β ) C M a m dim M a U α ϕ α {x i, 1 i m} {U,

More information

A 21 A.1 L p A A.3 H k,p () A

A 21 A.1 L p A A.3 H k,p () A Analysis III Functional Analysis III 25 10 3 2 (10:40-12:10) 1 1 1.1 n R n or C n.......................... 1 1.2 ( ) (Linear sp. (Vector sp.))................. 1 2 (Normed Spaces) 2 2.1 (Norm).....................................

More information

Auerbach and Kotlikoff(1987) (1987) (1988) 4 (2004) 5 Diamond(1965) Auerbach and Kotlikoff(1987) 1 ( ) ,

Auerbach and Kotlikoff(1987) (1987) (1988) 4 (2004) 5 Diamond(1965) Auerbach and Kotlikoff(1987) 1 ( ) , ,, 2010 8 24 2010 9 14 A B C A (B Negishi(1960) (C) ( 22 3 27 ) 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 1 2 3 Auerbach and Kotlikoff(1987) (1987)

More information

(iii) 0 V, x V, x + 0 = x. 0. (iv) x V, y V, x + y = 0., y x, y = x. (v) 1x = x. (vii) (α + β)x = αx + βx. (viii) (αβ)x = α(βx)., V, C.,,., (1)

(iii) 0 V, x V, x + 0 = x. 0. (iv) x V, y V, x + y = 0., y x, y = x. (v) 1x = x. (vii) (α + β)x = αx + βx. (viii) (αβ)x = α(βx)., V, C.,,., (1) 1. 1.1...,. 1.1.1 V, V x, y, x y x + y x + y V,, V x α, αx αx V,, (i) (viii) : x, y, z V, α, β C, (i) x + y = y + x. (ii) (x + y) + z = x + (y + z). 1 (iii) 0 V, x V, x + 0 = x. 0. (iv) x V, y V, x + y

More information

43433 8 3 . Stochastic exponentials...................................... 3. Girsanov s theorem......................................... 4 On the martingale property of stochastic exponentials 5. Gronwall

More information

I , : ~/math/functional-analysis/functional-analysis-1.tex

I , : ~/math/functional-analysis/functional-analysis-1.tex I 1 2004 8 16, 2017 4 30 1 : ~/math/functional-analysis/functional-analysis-1.tex 1 3 1.1................................... 3 1.2................................... 3 1.3.....................................

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

第 61 回トポロジーシンポジウム講演集 2014 年 7 月於東北大学 ( ) 1 ( ) [6],[7] J.W. Alexander 3 1 : t 2 t +1=0 4 1 : t 2 3t +1=0 8 2 : 1 3t +3t 2 3t 3 +3t 4 3t 5 + t

第 61 回トポロジーシンポジウム講演集 2014 年 7 月於東北大学 ( ) 1 ( ) [6],[7] J.W. Alexander 3 1 : t 2 t +1=0 4 1 : t 2 3t +1=0 8 2 : 1 3t +3t 2 3t 3 +3t 4 3t 5 + t ( ) 1 ( ) [6],[7] 1. 1928 J.W. Alexander 3 1 : t 2 t +1=0 4 1 : t 2 3t +1=0 8 2 : 1 3t +3t 2 3t 3 +3t 4 3t 5 + t 6 7 7 : 1 5t +9t 2 5t 3 + t 4 ( :25400086) 2010 Mathematics Subject Classification: 57M25,

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

(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

QCD 1 QCD GeV 2014 QCD 2015 QCD SU(3) QCD A µ g µν QCD 1

QCD 1 QCD GeV 2014 QCD 2015 QCD SU(3) QCD A µ g µν QCD 1 QCD 1 QCD GeV 2014 QCD 2015 QCD SU(3) QCD A µ g µν QCD 1 (vierbein) QCD QCD 1 1: QCD QCD Γ ρ µν A µ R σ µνρ F µν g µν A µ Lagrangian gr TrFµν F µν No. Yes. Yes. No. No! Yes! [1] Nash & Sen [2] Riemann

More information

x (x, ) x y (, y) iy x y z = x + iy (x, y) (r, θ) r = x + y, θ = tan ( y ), π < θ π x r = z, θ = arg z z = x + iy = r cos θ + ir sin θ = r(cos θ + i s

x (x, ) x y (, y) iy x y z = x + iy (x, y) (r, θ) r = x + y, θ = tan ( y ), π < θ π x r = z, θ = arg z z = x + iy = r cos θ + ir sin θ = r(cos θ + i s ... x, y z = x + iy x z y z x = Rez, y = Imz z = x + iy x iy z z () z + z = (z + z )() z z = (z z )(3) z z = ( z z )(4)z z = z z = x + y z = x + iy ()Rez = (z + z), Imz = (z z) i () z z z + z z + z.. z

More information

SAMA- SUKU-RU Contents p-adic families of Eisenstein series (modular form) Hecke Eisenstein Eisenstein p T

SAMA- SUKU-RU Contents p-adic families of Eisenstein series (modular form) Hecke Eisenstein Eisenstein p T SAMA- SUKU-RU Contents 1. 1 2. 7.1. p-adic families of Eisenstein series 3 2.1. modular form Hecke 3 2.2. Eisenstein 5 2.3. Eisenstein p 7 3. 7.2. The projection to the ordinary part 9 3.1. The ordinary

More information

t χ 2 F Q t χ 2 F 1 2 µ, σ 2 N(µ, σ 2 ) f(x µ, σ 2 ) = 1 ( exp (x ) µ)2 2πσ 2 2σ 2 0, N(0, 1) (100 α) z(α) t χ 2 *1 2.1 t (i)x N(µ, σ 2 ) x µ σ N(0, 1

t χ 2 F Q t χ 2 F 1 2 µ, σ 2 N(µ, σ 2 ) f(x µ, σ 2 ) = 1 ( exp (x ) µ)2 2πσ 2 2σ 2 0, N(0, 1) (100 α) z(α) t χ 2 *1 2.1 t (i)x N(µ, σ 2 ) x µ σ N(0, 1 t χ F Q t χ F µ, σ N(µ, σ ) f(x µ, σ ) = ( exp (x ) µ) πσ σ 0, N(0, ) (00 α) z(α) t χ *. t (i)x N(µ, σ ) x µ σ N(0, ) (ii)x,, x N(µ, σ ) x = x+ +x N(µ, σ ) (iii) (i),(ii) z = x µ N(0, ) σ N(0, ) ( 9 97.

More information

Introduction to Numerical Analysis of Differential Equations Naoya Enomoto (Kyoto.univ.Dept.Science(math))

Introduction to Numerical Analysis of Differential Equations Naoya Enomoto (Kyoto.univ.Dept.Science(math)) Introduction to Numerical Analysis of Differential Equations Naoya Enomoto (Kyoto.univ.Dept.Science(math)) 2001 1 e-mail:s00x0427@ip.media.kyoto-u.ac.jp 1 1 Van der Pol 1 1 2 2 Bergers 2 KdV 2 1 5 1.1........................................

More information

Milnor 1 ( ), IX,. [KN].,. 2 : (1),. (2). 1 ; 1950, Milnor[M1, M2]. Milnor,,. ([Hil, HM, IO, St] ).,.,,, ( 2 5 )., Milnor ( 4.1)..,,., [CEGS],. Ω m, P

Milnor 1 ( ), IX,. [KN].,. 2 : (1),. (2). 1 ; 1950, Milnor[M1, M2]. Milnor,,. ([Hil, HM, IO, St] ).,.,,, ( 2 5 )., Milnor ( 4.1)..,,., [CEGS],. Ω m, P Milnor 1 ( ), IX,. [KN].,. 2 : (1),. (2). 1 ; 1950, Milnor[M1, M2]. Milnor,,. ([Hil, HM, IO, St] ).,.,,, ( 2 5 )., Milnor ( 4.1)..,,., [CEGS],. Ω m, PC ( 4 5 )., 5, Milnor Milnor., ( 6 )., (I) Z modulo

More information

1.2 (Kleppe, cf. [6]). C S 3 P 3 3 S 3. χ(p 3, I C (3)) 1 C, C P 3 ( ) 3 S 3( S 3 S 3 ). V 3 del Pezzo (cf. 2.1), S V, del Pezzo 1.1, V 3 del Pe

1.2 (Kleppe, cf. [6]). C S 3 P 3 3 S 3. χ(p 3, I C (3)) 1 C, C P 3 ( ) 3 S 3( S 3 S 3 ). V 3 del Pezzo (cf. 2.1), S V, del Pezzo 1.1, V 3 del Pe 3 del Pezzo (Hirokazu Nasu) 1 [10]. 3 V C C, V Hilbert scheme Hilb V [C]. C V C S V S. C S S V, C V. Hilbert schemes Hilb V Hilb S [S] [C] ( χ(s, N S/V ) χ(c, N C/S )), Hilb V [C] (generically non-reduced)

More information

Einstein 1905 Lorentz Maxwell c E p E 2 (pc) 2 = m 2 c 4 (7.1) m E ( ) E p µ =(p 0,p 1,p 2,p 3 )=(p 0, p )= c, p (7.2) x µ =(x 0,x 1,x 2,x

Einstein 1905 Lorentz Maxwell c E p E 2 (pc) 2 = m 2 c 4 (7.1) m E ( ) E p µ =(p 0,p 1,p 2,p 3 )=(p 0, p )= c, p (7.2) x µ =(x 0,x 1,x 2,x 7 7.1 7.1.1 Einstein 1905 Lorentz Maxwell c E p E 2 (pc) 2 = m 2 c 4 (7.1) m E ( ) E p µ =(p 0,p 1,p 2,p 3 )=(p 0, p )= c, p (7.2) x µ =(x 0,x 1,x 2,x 3 )=(x 0, x )=(ct, x ) (7.3) E/c ct K = E mc 2 (7.4)

More information

( ) ) AGD 2) 7) 1

( ) ) AGD 2) 7) 1 ( 9 5 6 ) ) AGD ) 7) S. ψ (r, t) ψ(r, t) (r, t) Ĥ ψ(r, t) = e iĥt/ħ ψ(r, )e iĥt/ħ ˆn(r, t) = ψ (r, t)ψ(r, t) () : ψ(r, t)ψ (r, t) ψ (r, t)ψ(r, t) = δ(r r ) () ψ(r, t)ψ(r, t) ψ(r, t)ψ(r, t) = (3) ψ (r,

More information

MS#sugaku(ver.2).dvi

MS#sugaku(ver.2).dvi 1 1,,,.,,,,,.,.,,,.,, Computer-Aided Design).,,, Boltzmann,, [1]., Anderson, []., Anderson, Schrödinger [3],[4]., nm,,.,,,.,, Schrödinger.,, [5],[6].,,.,,, 1 .,, -. -, -., -,,,. Wigner-Boltzmann Schrödinger,

More information

i Version 1.1, (2012/02/22 24),.,..,.,,. R-space,, ( R- space),, Kahler (Kähler C-space)., R-space,., R-space, Hermite,.

i Version 1.1, (2012/02/22 24),.,..,.,,. R-space,, ( R- space),, Kahler (Kähler C-space)., R-space,., R-space, Hermite,. R-space ( ) Version 1.1 (2012/02/29) i Version 1.1, (2012/02/22 24),.,..,.,,. R-space,, ( R- space),, Kahler (Kähler C-space)., R-space,., R-space, Hermite,. ii 1 Lie 1 1.1 Killing................................

More information

( ) sin 1 x, cos 1 x, tan 1 x sin x, cos x, tan x, arcsin x, arccos x, arctan x. π 2 sin 1 x π 2, 0 cos 1 x π, π 2 < tan 1 x < π 2 1 (1) (

( ) sin 1 x, cos 1 x, tan 1 x sin x, cos x, tan x, arcsin x, arccos x, arctan x. π 2 sin 1 x π 2, 0 cos 1 x π, π 2 < tan 1 x < π 2 1 (1) ( 6 20 ( ) sin, cos, tan sin, cos, tan, arcsin, arccos, arctan. π 2 sin π 2, 0 cos π, π 2 < tan < π 2 () ( 2 2 lim 2 ( 2 ) ) 2 = 3 sin (2) lim 5 0 = 2 2 0 0 2 2 3 3 4 5 5 2 5 6 3 5 7 4 5 8 4 9 3 4 a 3 b

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

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

http://www.ike-dyn.ritsumei.ac.jp/ hyoo/wave.html 1 1, 5 3 1.1 1..................................... 3 1.2 5.1................................... 4 1.3.......................... 5 1.4 5.2, 5.3....................

More information