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)

Size: px
Start display at page:

Download "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)"

Transcription

1 Lebesgue (Applications of Lebesgue Integral Theory) (Seiji HIABA) Lebesgue Fubini L p Banach, Hilbert Hölder, Minkovsky Fourier L p Cc L 1 Fourier L 2 Fourier (Characteristic Functions) Fourier Lévy (Distributions) ,, ( ) ( ) ( )

2 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) A n F(n 1) = A n F. µ = µ(dx) (measure), i.e., µ : F [, ], ; (1) µ( ) =, (2) A n F : = µ( A n ) = µ(a n ). (measurable function) f : X = {± }. f a, {f a} = {x X; f(x) a} F. f, Lebesgue fdµ = fdµ = X X f(x)µ(dx)., f,, {A k } n k=1 F X, a k n n n f = a k 1 Ak = a k I(A k ) = fdµ := a k µ(a k ). k=1 k=1, 1 A (x) = I(A)(x) = 1 if x A, = if x / A. f, {f n }; f n f, fdµ := lim f n dµ. n f n = n2 n k=1 fdµ := lim n k=1 ( k 1 k 1 2 n I 2 n f < k ) 2 n + ni(f n), ( n2 n k=1 ( k 1 k 1 2 n µ 2 n f < k ) ) 2 n + nµ(f n)., f + = f = max{f, }, f = ( f) = max{ f, } f ± f = f + f, f = f + + f, f + dµ, f dµ, Lebesgue, fdµ =. f L 1 = L 1 (X, F, µ). f + dµ f dµ f dµ <, f, Lebesgue. B n = B( n ) n Borel field, i.e., n O n σ-field σ(o n ) (= O n σ-field).

3 App. of Leb. Integral Theory (S. Hiraba) (B n Lebesgue (Lebesgue measure on B n )) X = n, F = B n. A = n k=1 (a k, b k ] ( a k b k ), µ(a) = n k=1 (b k a k ) µ µ B n Lebesgue, dx m = m(dx),,. 1.2 N = {N n ; B B n ; m(b) =, N B} (m ), (1) L n = L( n ) := {A N : A B n, N N } σ-field. (2) A N L n, i.e., A B n, N N, m(a N) := m(a), ( n, L n ). 1.2 m m, ( ) Lebesgue, L n Lebesgue, Lebesgue, ( n, L n, m) Lebesgue.,,, Borel, ( ),,, σ-filed,. 1.1, Fubini f, f 1, f 2, (X, F, µ). µ(lim f n f) = f n f, f n f, µ-a.e.. a.e. almost everywhere. ( µ = P P -a.s., a.s. almost surely. ) 1.3 ( (Monotone Convergence Theorem)) [ f 1 f 2 f n f], µ-a.e., i.e., f n f, µ-a.e. fdµ = lim f n dµ. n 1.1 (Fatou (Fatou s Lemma)) f n, µ-a.e. ( n 1) lim inf ndµ lim inf n n f n dµ. 1.4 (Lebesgue (Lebesgue s Convergence Theorem)) f n f, µ-a.e. h L 1 (X, F, µ); f n h ( n 1), µ-a.e., f L 1 (X, F, µ) fdµ = lim f n dµ. n Lebesgue (Dominated Convergence Theorem). µ(x) < h Lebesgue (Bounded Convergence Theorem).

4 App. of Leb. Integral Theory (S. Hiraba) X F- f, f n (n = 1, 2,... ),. f n f, µ-a.e., f n 2 f, µ-a.e., sup f n dµ <, n 1 X f L 1 (X, F, µ),, fdµ = lim f n dµ. n,. 1.5 t, f t = f t(x). t, f t f t (t t ), µ-a.e. h L 1 (X, F, µ), U(t ): t ; f t h ( t U(t )), µ-a.e., f t L 1 (X, F, µ) f t dµ = lim f t t tdµ. 1.2 t f(t) t,. f(t) f(t ) (t t ) {t n}; t n t, f(t n) f(t ) (n ). 1.6 [a, b] f iemann, Lebesgue, b f(x)dx = a [a,b] f(x)m(dx)., iemann, Lebesgue m Lebesgue. Fubini. 1.7 (X, F, µ), (Y, G, ν) σ-, i.e., {X n } F; X n = X, µ(x n ) <, ν. F G := σ(f G), (X Y, F G) η : A B F G η(a B) = µ(a)ν(b). 1.3 η (product measure), µ = µ ν. (X Y, F G, µ ν) (product measure space). 1.8 (Fubini ) (1) f, µ ν-a.e. fd(µ ν) = X Y (X, F, µ), (Y, G, ν) σ-. : X dµ fdν = dν fdµ. Y Y X (2) f. f d(µ ν), dµ f dν, X Y X Y Y dν f dµ X,, fd(µ ν) = dµ X Y X Y fdν = Y dν fdµ. X

5 App. of Leb. Integral Theory (S. Hiraba) 4 Lebesgue. fdxdy = dx fdy = dy fdx Lebesgue m(dx) = dx a [ ] m(a + a) = m(a) ( A + a = A ), i.e, m(dx + a) = m(dx), [ ] m( A) = m(a) ( A = A ), i.e., m( dx) = m(dx),. f(a x)dx = f(y)dy iemann y = a x, dy = dx, i.e., dx = dy. dx = m(dx) = m( dy) = m(dy) = dy.. f(a x)dx = f(a x)m(dx) = f(y)m( dy) = f(y)dy (X, F, µ) = (, B(), dx) 1 Lebesgue. f, g, (f g)(x) = f(x y)g(y)dy. f g (convolution)., f, g., f g = g f, (f g) h = f (g h)(= f g h ) f, g L 1 (, B(), dx) (f g)(x)dx = f(x)dx g(y)dy ( f, g Fubini ) f L 1 ((, B(), dx). g, g f g (f g) (x) = f(y)g (x y)dy. g Cc, f g, (f g) (n) = f g (n). f, g Cc, (f g) (n) = f (k) g (n k) ( k n).

6 App. of Leb. Integral Theory (S. Hiraba) 5 2 L p 1 p, p L p. Hölder, Minkovsky, L p. (X, F, µ), f (F), f F. (, F, f F, f,.) 2.1 L p = L p (X, F, µ), 1 p : L p - (1) 1 p <, ( L p = L p (X, F, µ) := {f F : f p < } (, f p := f p dµ) 1/p ), f L p p, L p -. (2) p =, L = L (X, F, µ) := {f F : f < }, (, f = ess.sup f := inf{α : f α, µ a.e.}: f ), f L, L -. ( f f <, µ-a.e. ) (3) p L p - (norm), L p. (L p, p ) (1 p ) Banach ( ). p = 2 f, g = fgdµ L 2, (L 2,, ) Hilbert ( )., f, g = fgdµ. 2.1 Banach, Hilbert X K = or C, : X [, ] x, y X, a K : (1) x = x =, (2) ax = a x, (3) x + y x + y. (X, ) X {x n } Cauchy lim x n x m =. m,n X Cauchy {x n }, i.e., x X; x n x, X (complete), (X, ) Banach, X (inner product), : X X K; (1) x, x, = x =, (2) x, y = y, x, (3) x, ay + z = a x, y + x, z. (X,, ). x = x, x, Hilbert. 2.1 Cauchy.

7 App. of Leb. Integral Theory (S. Hiraba) (X, ) complete {x n } X; x n <, n=1 n=1 x n X. ( ) ( ) {x n } Cauchy {x nj }; x nj x nj+1 < 2 j, x nj. 2.2 Hölder, Minkovsky p, 1 q, 1/p + 1/q = 1., 1,. (1) [Hölder ] fg 1 f p g q. f L p, g L q fg L 1. (2) [Minkowski ] f, g L p, f + g p f p + g p. ( ) p = 1,. 1 < p <. (1) f p = or g q = f =, µ-a.e. or g =, µ-a.e.,, fg =, µ-a.e.. f p > g q >. a, b ab ap p + bq. b q φ(a) = φ (a) = a = b 1/(p 1),, φ(b 1/(p 1) ) = φ(a). a = f / f p, b = g / g q,. (2) q = p/(p 1), i.e., 1/p + 1/q = 1 f + g p dµ f f + g p 1 dµ + g f + g p 1 dµ f + g p 1 L q Hölder, 1 1/q = 1/p. 2.3,, (L p, p ) (1 p ) µ-a.e., p, Banach ( ). p = 2 f, g = fgdµ L 2, (L 2,, ) Hilbert ( )., f, g = fgdµ. ( f g f = g, µ-a.e.,, f L p [f] L p /, [f] p = f p (L p /, p) Banach., (L p, p) Banach. ) ( ) {f n } L p ; n f n < f := n f n, µ-a.e. f L p. Minkowski,, N N f n = lim f N n lim f n p = f n p <. N p p n=1 n=1 n=1 n=1

8 App. of Leb. Integral Theory (S. Hiraba) 7 n f n <, µ-a.e., f = n f n µ-a.e.. f p = f n f n < p p n=1 f L p. 2.4 f, g. f g f g; f g(x) := f(x y)g(y)dy n=1, (1) f g 1 f 1 g 1, (2) f g 2 f 1 g µ(x) <, 1 p < q, L p (X, F, µ) L q (X, F, µ). µ(x) <, f L, lim p f p = f. f f, µ-a.e. lim sup p f p f. ε >, X ε := { f > f ε} µ(x ε ) >, f p µ(x ε ) 1/p ( f ε) (1) 1 p <. f n, f L p (X, F, µ) f n f p or L p - ; f n f in L p def (2) f n, f F. f n f µ- ; lim f n f p =. n f n f in µ def ε >, lim n µ( f n f ε) =. f n f, µ-a.e. def µ(f n f) = ( { µ ε >, N; n N, f n f < ε } ) c = c µ { f n f < 1/k} = k 1 N 1 n N µ { f n f 1/k} = k 1 N 1 n N k 1, µ { f n f 1/k} = N 1 n N 2.7 (1) 1 p. f n f in L p, f n g in L p, f = g, µ-a.e.. (2) f n f in µ, f n g in µ, f = g, µ-a.e µ σ- =.

9 App. of Leb. Integral Theory (S. Hiraba) 8 ( ) µ, f n f, µ-a.e. k 1, lim { f n f 1/k} =. N µ n N 2.9 f n, f F. ε > 1 p <, µ( f n f ε) 1 ε p f n f p dµ., L p - = L ( ) 2.1. [, 1] Lebesgue, ( ) 1, ,. 2.3 (1) 1 p <, L p -,.. (2) µ σ-,.. (3),. f n f in µ (n ) = {f nk } {f n }; f nk f, µ-a.e. (k ). ( ) (3) µ({ f nk f 1/2 k }) < 1/2 k, Borel-Cantelli ( µ(a k ) < µ(lim sup A k ) = ) µ(lim f nk f) =

10 App. of Leb. Integral Theory (S. Hiraba) 9 3 Fourier, (X, F, µ) = (, B, dx) 1 Lebesgue, 1 p <. L p L p (, B, dx). 3.1 L p Cc Cc Cc (). f supp f := {f }. (A A.) p <. Cc L p, i.e., f L p, {f n } Cc ; f f n p (n ). ( ) f1 [ n,n], supp f., f = 1 B ; B B, B <. (, f = f + f, f ±,, L p f ± < a.s., 1 f n ±, a.s. 1/2 n, supp f, p 1, L p.) Lebesgue ε >, K;, G; ; K B G; G \ K < ε. ϕ = ϕ ε C c (); ϕ 1, ϕ = 1 on K, ϕ = on G c. 1 B ϕ p dx G \ K < ε. ε = 1/n f n = ϕ ε. 3.1 f L p f n = f1 [ n,n], f n f in L p., f L 1 L 2, f n C c L 1, L 2,. [Lebesgue B B; B <, ε >, K;, G; ; K B G; G\K < ε], A (a, b], σ(a) = B. B B, Lebesgue m(b), ε >, A n A; B A n, m(b) m(a n) < m(b) + ε/4. A n A, G n A n m(g n) < m(a n) + ε/2 n+2. G := G n. B c, F B ; m(b \ F ) < ε/4., K F, m(f \ K) < ε/4,. [ K;, G; ; K G, ϕ Cc (); ϕ 1, ϕ = 1 on K, ϕ = on G c ] x 1,..., x n K, r 1,..., r n > ; K n k=1 B(x k, r k ) n k=1 B(x k, 2r k ) G ( ), ψ k Cc () (k = 1,..., n) ψ k 1, ψ k = 1 on B(x k, r k ), ψ k > on B(x k, 2r k ), ψ k = on B(x k, 2r k ) c ( ). Ψ = n k=1 ψ k, Φ = n k=1 (1 ψ k), Ψ = on ( n k=1 B(x k, 2r k )) c, Ψ > on n k=1 B(x k, 2r k ), Φ = on n k=1 B(x k, r k ). ϕ := Ψ/(Ψ + Φ).

11 App. of Leb. Integral Theory (S. Hiraba) K: cpt, G: open; K G, x 1,..., x n K, r 1,..., r n > ; K n k=1 B(x k, r k ) n k=1 B(x k, 2r k ) G. 3.3 < r < <, ψ C c (); ψ = 1 on B(, r), ψ > on B(, ), ψ = on B(, ) c. f(t) = e 1/t 1 (, ) (t) C, f(t) = t. lim t f(t) = 1. ψ(x) = f( 2 x 2 )/{f( 2 x 2 ) + f( x 2 r 2 )} p <. f L p lim f(x + h) f(x) p dx =. h ( ) ε >, g Cc ; f g p < ε/2. f h (x) := f(x + h), f h g h p = f g p., θ (, 1); g h (x) g(x) = hg (x + θh), g h g p p = g = sup g. g(x + h) g(x) p dx h g supp g. f h f p f h g h p + g h g p + g f p 2 f g p + h g supp g 2 f g p < ε (h ),. 3.2 L 1 Fourier 3.1 f L 1, Ff(z) f(z) := 1 e izx f(x)dx f (Fourier transform). 3.1 f L 1. a, b, h(x) = f( x), f(x+a), e ibx f(x) Fourier ĥ(z) = f(z), e iaz f(z), f(z b). g L 1,. F(f g)(z) = f(z)ĝ(z). ( ),,. e izx = e iz(x y) e izy, Fubini, F(f g)(z) = dx e izx f(x y)g(y)dy = dx e iz(x y) f(x y)e izy g(y)dy = dy e izy g(y) e iz(x y) f(x y)dx (Fubini ) = dy e izy g(y) e izx f(x)dx ( ) = f(z)ĝ(z).

12 App. of Leb. Integral Theory (S. Hiraba) Gauss g t (x) := 1 t e x2 /(2t), Fg t (z) = ĝ t (z) = 1 e tz2 /2. ( ) θ C,. (3.1) e θzx g t (x)dx = e tθ2 z 2 /2 ( θ = i.) θ C.,, θ. θzx x2 2t = 1 2t (x tθz) tθ2 z 2 e θzx g t (x) = e tθ 2 z 2 /2 g t (x tθz). e θzx g t (x)dx = e tθ2 z 2 /2 g t (x tθz)dx = e tθ2 z 2 /2 g t (x)dx = e tθ2 z 2 / (3.1) θ C. e x2 dx = π, g t (x)dx = t >, e t x / Fourier t/(π(t 2 +z 2 )): Poisson., F ( ) 1 e t x t (z) = π(t 2 + z 2 ) ( ) = 1 e izx 1 e t x dx = 1 e izx 1 e t x dx, 1 2 2,,. = 2 1 e t x cos(zx)dx = t π(t 2 + z 2 ) ( ) 3.5 f L 1,. (1) f := sup f(z) f 1 /. z (2) f. (3) (iemann-lebesgue) lim z f(z) =, i.e, f C ();.

13 App. of Leb. Integral Theory (S. Hiraba) 12 ( ) (1). f(z) e izx f(x) dx f(x) dx = f 1. (2) z, h, f(z + h) f(z) e i(z+h)x e izx f(x) dx e ihx 1 f(x) dx. e ihx 1 2 e ihx 1 (h ), f L 1, Lebesgue, (3) z sup f(z + h) f(z) 1 e ihx 1 f(x) dx (h ). z f(z) = e iz(x+π/z) f(x)dx = e izx f(x π/z)dx, f(z) = e izx (f(x) f(x π/z)) dx. 3.2, f(z) = 1 2 f(x) f(x π/z) dx ( z ). 3.2 f L 1, F 1 f(x) f(x) := 1 e izx f(z)dz f (Fourier inverse transform). 3.6 (1) [ ] f, f L 1 f L 1, F 1 (Ff) = f, a.e., i.e., f = f, a.e. (2) [ ] f, g L 1, f = ĝ f = g, a.e Gauss g t (x) := 1 t e x2 /(2t), x lim t g t (x) =. f L 1, lim t (f g t ) = f in L 1, ( ) lim t g t (x) = (x ) α >, x, lim v v α e vx2 =. g t dx = 1, y/ t = ỹ, (f g t )(x) f(x) = (f(x y) f(x))g t (y)dy = (f(x ty) f(x))g 1 (y)dy.

14 App. of Leb. Integral Theory (S. Hiraba) 13 Fubini, 3.2 Lebesgue f g t f 1 dx f(x ty) f(x) g 1 (y) dy dy g 1 (y) f(x ty) f(x) dx (t )., 3.2 y, f(x ty) f(x) dx (t ),, f(x ty) f(x) dx 2 f 1. Lebesgue. ( 3.6 ) Gauss g t (x) = e x2 /(2t) / t, ĝ t = g t., ĝ t (z) = e tz2 /2 / = g 1/t (z)/ t, (3.1) [ e θzx g t (x)dx = e tθ2 z 2 /2 ] t 1/t θ = i, e izx g 1/t (z)dz = e x2 /(2t), ĝ t (x) = 1 g 1/t (x) = 1 e x2 /(2t) = g t (x). t t (f g t )(x) = (f ĝ t )(x) = f(x y) ĝ t (y)dy 1 = dyf(x y) e izy ĝ t (z)dz = dze izx 1 ĝ t (z) e iz(x y) f(x y)dy = dze izx ĝ t (z) f(z) = F 1 (ĝt f)(x),, f g t = F 1 ( fĝt). lim t (f g t ) = f in L 1, lim t ĝ t (z) = 1/ Lebesgue lim t F 1 ( fĝt) = F 1 f = f (. )., f = f, a.e. ( 2.7 ) (2) h = f g, ĥ = f ĝ =, (1) h = ĥ =, a.e. 3.7 lim t F 1 ( fĝt) = f. 3.7 f L 1. (1) xf(x) L 1 f C 1, (Ff) (z) = if(xf(x))(z). (2) f C 1, lim x f(x) =, f L 1 (f )(z) = iz f(z). ( ) (1), Lebesgue. h, e ix(z+h) e ixz h = i x h h e ix(z+s) ds

15 App. of Leb. Integral Theory (S. Hiraba) 14, e ix(z+h) e ixz h x h h e ix(z+s) ds = x. (2),, 1. e ixz f (x)dx = [e izx f(x)] x= x= + iz e izx f(x)dx = iz f(z). Cc Fourier, ; Schwartz S = S(). f S def f C, m, n, lim x xm f (n) (x) =. f (Schwartz ) (rapidly decreasing function). C c S. f(x) = e x2 S. 3.8 f S 1 p, m, n, h(x) = x m f (n) (x) L p. 3.3 f S, f, f S, f = f = f. ( ) m, n. g(x) = x m f(x), (1), ĝ(z) = F(x m f(x))(z) = i m ( f) (m) (z). h(x) = g (n) (x) = (x m f(x)) (n) S, (2), ĥ(z) = (iz)n ĝ(z) = i m+n z n ( f) (m) (z). iemann-lebesgue ĥ(z) ( z ),, zn ( f) (m) (z) ( z ), f S. f S. f, f L 1, f = f = f. 3.3 L 2 Fourier L 2 L 1, Fourier. L 1 L 2 L 2,.,, Cc S L 1 L 2 L 1, L 2,. L 1 Fourier,. 3.4 f L 1 L 2, f, f L 2,, f 2 = f 2 = f 2. ( ) [1st Step] f, g S, f, g = fg dx, f, g = = dz g(z) dx f(x) e izx f(x)dx = e izx g(z)dz = dx f(x) e izx g(z)dz dx f(x)ğ(x) = f, ğ., f, g = f, ğ. g f f = f, f 2 = f 2.

16 App. of Leb. Integral Theory (S. Hiraba) 15 [2nd Step] f L 1 L 2, f n S; f n f in L 1, in L 2.. f, f L 2, f n f in L 2, f n f in L 2. f(z) f n (z) f f n 1 (n ). Fatou, f L 2. f 2 lim inf n f n 2 = lim inf n f n 2 = f 2 <. f f n 2 lim inf f m f n 2 = lim inf f m f n 2 m m f m f n 2 (n ). sup m n [3rd Step] f, g L 1 L 2, [2nd Step] f n, g n S, [1st Step],, f, g = f, ğ. g = f. 3.3 f L 2, f n L 1 L 2 ; f f n 2 (n )., f n f m 2 = f n f m 2 (m, n ). L 2, f n L 2 -. ( ). Ff f := lim f n in L 2 n, f (L 2 ) Fourier., f n Fourier f n, L 2 - F 1 f f := lim f (L 2 ) Fourier. n f n in L L 2 - f. [ ] g n L 1 L 2 ; f g n 2, ĝ = lim ĝ n in L 2. ĝ n f n 2 = g n f n 2 g n f 2 + f f n 2 ĝ f 2 = lim ĝ n f n 2 =. ĝ = f, a.e. 3.8 f, g L 2. (1) [Plancherel ] f, g = f, ğ. f, ĝ = f, ğ = f, g. f 2 = f 2 = f 2. (2) [ ] f = f = f, a.e. ( ) (1). (2) g L 2, f, g = f, g,, g = f f.

17 App. of Leb. Integral Theory (S. Hiraba) 16 4 (Characteristic Functions) f L 1 = L 1 (, B, dx) Fourier F 1 f(z) f(z) = 1 e izx f(x)dx (z ), f µ(dx) = f(x)dx, (, B). e izx f(x)dx = e izx µ(dx). f L 1 f ± L 1 ; f = f + f,. µ := µ/µ(),, i.e, µ() = 1 1 e izx µ(dx) = µ() e izx µ(dx)., L 1 Fourier, Fourier. Fourier. 4.1 Fourier µ = µ(dx) ( d, B d ) ( µ (distribution) ), φ(z) = φ µ (z) µ (characteristic function). n φ(z) φ µ (z) := e i z,x µ(dx) ( z, x = z k x k ). n 4.1 µ φ = φ µ,. (1) φ() = 1, φ(z) 1, φ(z) = φ( z). (2) φ. n (3) [ ] n 1, α k C, z k (k = 1,..., n), α j α k φ(z j z k ). k=1 j,k=1 ( ) (1). (2) L 1 Fourier. (3). n n 2 n α j α k φ(z j z k ) = α j α k e i(zj zk)x µ(dx) = α j e izjx µ(dx). j,k=1 j,k=1 j=1 4.1 φ,., L 1 (dµ) = L 1 (, B, µ). (1) x L 1 (dµ) φ C 1, φ (z) = i xe izx µ(dx). (2) φ () x 2 L 1 (dµ). ( ) (1) L 1 Fourier. (2) h, ( ). (4.1) ψ h (z) = ψ h (z) := (φ(z + h) + φ(z h) 2φ(z))/h 2 ( ) 2 i sin(hx/2) e izx µ(dx) h/2

18 App. of Leb. Integral Theory (S. Hiraba) 17. lim h ψ h () = φ (), Fatou, φ () = lim h ( ) 2 sin(hx/2) µ(dx) h/2 x 2 µ(dx). 4.1 (4.1) lim h ψ h () = φ (). 4.2 Lévy L 1 Fourier.,. 4.2 (Lévy ) µ φ, µ({a}) = µ({b}) =. µ((a, b)) = 1 T lim T T µ((a, b)) = 1 T lim T T e iza e izb iz e iza e izb φ(z)dz. iz φ(z)dz 1 [µ({a}) + µ({b})]. 2 ( ) z, (e iza e izb )/iz (b a), Fubini T T e iza e izb φ(z)dz = iz T µ(dx) T z J(T, x, z, b) T J(T, x, a, b) = 2 sin(x a)z T dz 2 z, ( ) sin z z dz = π 2, lim J(T, x, a, b) = T π sin z, sin J(T, x, a, b) 4 z lim J(T, x, a, b)µ(dx) = π T. sin zx dz = z e iz(x a) e iz(x b) dz. iz (x < a or b < x) π (x = a or x = b) (a < x < b). sin(x b)z dz. z π/2 (x > ) (x = ) π/2 (x < ). dz. Lebesgue 1 {a,b} (x)µ(dx) + 1 (a,b) (x)µ(dx).

19 App. of Leb. Integral Theory (S. Hiraba) 18 π sin z 4.2 J(T, x, a, b) 4 dz., z. ( T ) T sin t T ( ) dt = e tu du sin tdt = t ( ) x > T >, sin t dt = π t 2 T du e tu sin tdt, T sin xt T x dt = t sin z π z dz sin z z dz. 4.3 ( ) µ = ν. µ, ν φ µ, φ ν, φ µ = φ ν ( ) (a, b); µ({a}) = µ({b}) = ν({a}) = ν({b}) = I. ( ), [a, b] ; (a n, b n ) I; (a n, b n ) [a, b], µ = ν on I,, µ([a, b]) = ν([a, b]). σ({[a, b]; < a b < }) = B, µ = ν on B. 4.3 µ, µ({a}) > a. 4.3 µ n, µ, µ n µ. µ n µ def f C b (), µ n (f) µ(f). µ(f) = fdµ.. ) 4.4 φ n, φ µ n, µ. µ n µ φ n φ ( 4.5 φ n µ n. φ; φ n φ ( ), φ µ: ; φ µ. φ n φ ( ).

20 App. of Leb. Integral Theory (S. Hiraba) 19 5 (Distributions),,,,.,,.,.,,,. Schwartz.,,,, Fourier,,,., D := Cc ()., ϕ supp ϕ = {ϕ } ( ),,,. f, T (ϕ) := f(x)ϕ(x)dx (ϕ D). T D, f T = T f. f C 1, f (x)ϕ(x)dx = f(x)ϕ (x)dx = T ( ϕ ), T (ϕ), T T. f C 1, T (ϕ) := T ( ϕ ) T f T. f, a, b C, f + af = b on, at f (ϕ) := a(x)f(x)ϕ(x)dx, T = T f T + at = b on D.,. [ f(x) = e a(x)dx ] e a(x)dx b(x)dx + C,.,,. (,.,..) D := Cc (). ( ϕ D,.) ϕ n ϕ in D def K : cpt; n 1, supp ϕ n K, k, ϕ (k) n ϕ (k) n ϕ (k). ϕ (k), i.e.,, ϕ n D K,,. 5.1 T : D C (Schwartz ) (distribution) def T D, i.e., T (aϕ + bψ) = at (ϕ) + bt (ψ) (a, b C, ϕ, ψ D), : ϕ n in D T (ϕ n ). D.

21 App. of Leb. Integral Theory (S. Hiraba) 2 K, ϕ D K. def ϕ D, supp ϕ K,, 5.1 T D T D, K :, m 1; k m, ϕ n D K ; ϕ (k) n T (ϕ n )., : K :, m 1, C > ; ϕ D K, T (ϕ) C ϕ m., ϕ m := m k= ϕ(k). [ ] ( ),,. ( ), ( ),. K: ; m 1, C >, ϕ m,c D K, T (ϕ m,c ) > C ϕ m,c m. C = m ϕ m = ϕ m,c, T (ϕ m ) > m ϕ m m. ψ m := ϕ m /(m ϕ m m ) ψ m D K T (ψ m ) > 1. k, m k ψ (k) m (x) 1 m ϕ (k) m (x) 1 (m ). ϕ m m, ψ m in D, T (ψ m ), T (ψ m ) > 1., k m, ϕ n D K ; ϕ (k) n T (ϕ n ). 5.1 f L 1 or L 2 T f D. f T f 1-1,, L 1 L 2 D., f L 2. T f (ϕ) f 2 ϕ 2 f 2 supp ϕ ϕ., T (ϕ) D., 1-1, T f =, D = Cc L 2 : dense, ϕ n D; ϕ n f L 2. = T f (ϕ n ) = f, ϕ n f, f = f 2, f = a.e.. f L 1, T f (ϕ) f 1 ϕ, T f., 1-1,,, e ixz C b ( ), Cc, Lebesgue, f =, Fourier, f = a.e.., a < b, 1 (a,b) Cc, f1 (a,b) dx =., f1 A d = A, σ-filed, 1 Borel filed B 1., A + n = {f 1/n}, = A fdx + A+ n n /n, {f > } = A + n A + n =, {f < } =,, f = a.e.. T n T in D def ϕ D, T n (ϕ) T (ϕ) T n T in D T n T in D. ; T (ϕ) = T (ϕ ). 5.1 (i) [Dirac δ ] T = δ δ(ϕ) = ϕ().. δ (n) (ϕ) = ( 1) n ϕ (n) (),.

22 App. of Leb. Integral Theory (S. Hiraba) 21 (ii) [Heaviside H(x) = 1 {x } ] T = T H. H = δ., T (ϕ) = H(x)ϕ(x)dx = T (ϕ) = ϕ(x)dx ϕ (x)dx = ϕ() = δ(ϕ), T = T f, T f, T = f., f, f. H = δ. 5.1 (i) (d/dx λ)(h(x)e λx ) =?.) (ii) sgn x (= 1 if x <, = 1 if x > ). [δ]. [2δ]. (i) T f (ϕ) = f, ϕ, T = H(x)e λx, T (ϕ) = H(x)e λx, ϕ = ( (ii) T (ϕ) = T (ϕ ) = e λx ϕ (x)dx = ϕ() + λ ϕ dx + e λx ϕ(x)dx = δ(ϕ) + λ H(x)e λx, ϕ ) ϕ dx = ( ϕ() ϕ()) = 2ϕ(). p(x) = a x n + a 1 x n a n (a j C), D ; DT = T, S, T D. 5.3 S = p(d)t = a T (n) + a 1 T (n 1) + + a n T., T D, S D ; S = T.,., T D ; T = T. ϕ C c, Kϕ(x) C c K(ϕ ) = ϕ ( )., S S(ϕ) = T (Kϕ),., S (ϕ) = S(ϕ ) = T (K(ϕ )) = T (ϕ), i.e., S = T. Kϕ, (, ϕ (, x], ϕ, K(ϕ) Cc.,), ρ Cc ρ(x)dx = 1, x Kϕ(x) = K 1 ϕ(y)dy; K 1 ϕ(x) = ϕ(x) ρ(x) ϕ(y)dy, K 1 ϕ, Kϕ Cc, K 1 (ϕ ) = ϕ, K(ϕ ) = ϕ. (. supp K 1 ϕ = supp ϕ supp ρ ϕ (y)dy =.), ρ,, ρ = ρ δ : (Friedrichs), i.e., ρ δ, ρ δ dx = 1, supp ρ δ = [ δ, δ].,. ρ δ (x) = (C/δ) exp[ 1/(1 x 2 /δ 2 )]1 ( δ,δ)(x)., T =, T (ϕ) = T (K 1 ϕ) + T (ρ) ϕ(y)dy.

23 App. of Leb. Integral Theory (S. Hiraba) 22 K 1 ϕ = (Kϕ), T (K 1 ϕ) = T (Kϕ) =., T (ϕ) = T (ρ) ϕ(y)dy = T T (ρ) (ϕ)., T = T (ρ):. δ = p(d)e E D p(d)t = S E; p(d)e = δ., S D, S = p(d)t T = S E. p(d)e = E + a 1 E + a 2 E = δ, z(x) z + a 1 z + a 2 z =, z() =, z () = 1, E(x) = H(x)z(x) n,, z(x), E (x) = z()δ + H(x)z (x) = H(x)z (x) E (x) = z ()δ + H(x)z (x) = δ + H(x)z (x). n, E(x) = H(x)z(x)., S, T D (T S)(ϕ) := T y (S z (ϕ(y + z))) S z z., S z (ϕ(y + z)) y D, S,., S, supp S = ( {G ; open, ϕ D; supp ϕ G, S(ϕ) = }, supp δ (n) = {} (n ),, supp ϕ (supp S) c,, supp S supp ϕ = S(ϕ) =. ) c 5.3. [n. x x supp ϕ, ϕ (n) () =, δ (n) (ϕ) = ( 1) n ϕ (n) () =, x / supp δ. / supp δ, ϕ D, δ (n) (ϕ) =, ϕ (n) ().] T D, ϕ D, T ϕ(x) = T y (ϕ(x y)). 5.5 T D. (i) ϕ D, T ϕ C, D n (T ϕ) = T D n ϕ = D n T ϕ. (ii) T δ = δ T = T. δ a ; δ a (ϕ) = ϕ(a), δ a δ b = δ a+b. δ H = δ.

24 App. of Leb. Integral Theory (S. Hiraba) 23 (iii) S D; supp S, S z (ϕ( + z)) C c, T S = S T. D n T = T (D n δ), D n (T S) = D n T S = T D n S. S, T, U D 2, U (T S) = (U T ) S. (i) x,, n = 1. T ϕ(x) = T y (ϕ(x y)), ψ h (y) := (ϕ(x + h y) ϕ(x y))/h, ψ(y) := ϕ (x y). θ (, 1); ψ (k) h (y) ψ(k) (y) = 1 h (ϕ(k) (x + h y) ϕ (k) (x y)) ψ (k+1) (x y) = hϕ (k+2) (x + θh y) h ϕ (k+2)., h, k, ψ (k) h ψ (k)., T (ψ h ) T (ψ)., D(T ϕ) = T Dϕ. T y (ϕ (x y)) = T y ( x ϕ(x y)) = T y ( y ϕ(x y)) = (T ) y (ϕ(x y))., T Dϕ = DT ϕ. n. (ii) T y (δ z (ϕ(y + z))) = T y (ϕ(y)). δ y a(δ z b (ϕ(y + z))) = ϕ(a + b) = δ a+b(ϕ). (δ ) y (H z (ϕ(y + z))) = (δ ) y ( ϕ(y + z)dz) = ϕ (z)dz = ϕ() ϕ( ) = ϕ() = δ(ϕ). (iii) S z (ϕ( + z)), y; S z (ϕ(y + z)). S z, z supp S supp ϕ(y + ), y + z supp ϕ, i.e., y supp ϕ supp S., supp S z (ϕ( + z)) supp ϕ supp S: bdd., (i). T S = S T S, T, U D 2, U (T S) = (U T ) S,. D n T = T (D n δ), (i) D n δ ϕ = ϕ (n),, D n δ ϕ(x) = D n δ y (ϕ(x y)) = ( 1) n δ y ( n y ϕ(x y)) = δ y (ϕ (n) (x y)) = ϕ (n) (x),, (D n T ϕ)(x) = (T D n ϕ)(x) == (T (D n δ ϕ))(x) == ((T D n δ) ϕ)(x). (T ϕ)() = T y (ϕ( y)), x =, D n T (ϕ( )) = (T D n δ)(ϕ( )),, D n T (ϕ) = (T D n δ)(ϕ). D n (T S) = D n T S = T D n S,, D(T S) = (T S) Dδ = T (S Dδ) = T DS., T (S Dδ) = T (Dδ S) = (T Dδ) S = DT S., T = S E, p(d)t = p(d)(s E) = S p(d)e = S δ = S 5.1 ϕ S def def ϕ C, m, n, x n ϕ (m) (x) <, i.e., ϕ(x) C m.n x n. ϕ C, m, n, lim x x n ϕ (m) (x) =. Cc = D S C. S ϕ k in S def m, n, x m ϕ (n) (x). Fourier. (.) ϕ(ξ) = Fϕ(ξ) := e iξx ϕ(x)dx.

25 App. of Leb. Integral Theory (S. Hiraba) (i) ϕ S, ϕ S,,. (ii) ϕ(x) = e ax2 (a > ), ϕ(ξ) = ( π/a)e ξ2 /(4a) (iii) ϕ S,. ϕ(x) = 1 ϕ = ψ. Fourier ( ) ˇϕ(x) = F 1 ϕ(x) = 1 e iξx ϕ(ξ)dξ ϕ(ξ)e iξx dξ., ϕ = ψ ( = 1 ϕ( x) = 1 ) ϕ( )(x), ϕ = ˇ ϕ. ϕ( x) = ϕ(x). (i). L 1 Fourier. ϕ k in S., ( iξ) m ϕ (n) (ξ) = ( 1) m F(d m x (( ix) n ϕ(x))(ξ), sup ξ m 1 ϕ(n) (ξ) 1 + x 2 (1 + x2 ) d m x (( ix) n ϕ(x) dx sup(1 + x 2 ) d m x (( ix) n dx ϕ(x)) x 1 + x 2. ϕ = ϕ k,, sup x (1 + x 2 ) d m x (( ix) n ϕ k (x)) (k )., ϕ k in S. 5.7 ϕ, ψ S, ϕψdx = ϕ ψdx, ϕψdx = 1 ϕ ψdx, ϕ ψ = ϕ ψ, 1 ϕψ = ϕ ψ 2 Parseval. ψ = ϕ ϕ 2 = ϕ 2. Fubini, ϕ(x)ψ(x)dx = dxψ(x) e ixy ϕ(y)dy = dyϕ(y) e ixy ψ(x)dx = ϕ(y) ψ(y)dy., ψ ψ,, ψ ˇψ = ψ/() 2. e ixξ ϕ ψ(x)dx = dxe ixξ ϕ(x y)ψ(y)dy = dye iyξ ψ(y) e i(x y)ξ ϕ(x y)dx, 3. ϕ ψ = F 1 ( ϕ ψ), ϕ, ψ ϕ, ψ, F 1 ( ϕ ψ) = () 2 F 1 (ϕ( )ψ( )) = ϕψ,. ; (Tempered distributions) T S : S ; C >, m, n 1; ϕ S, T (ϕ) C (1 + x ) k ϕ (l) (x). k m, l n S D. f L 1 or L 2 T f S. f T f 1-1,, L 1 L 2 S. (.) f L 1, T f (ϕ) f 1 ϕ,. f L 2,, ϕ(x) (1 + x )ϕ(x) /(1 + x ) L 2, ϕ 2 (1 + x )ϕ(x) 1/(1 + x ) 2,

26 App. of Leb. Integral Theory (S. Hiraba) 25 T f (ϕ) f 2 ϕ 2 C (1 + x )ϕ(x),. 1-1, D. T S, T T (ϕ) := T ( ϕ) (ϕ S). T ξ (ϕ(ξ)) := T x ( ϕ(x)). Fourier Ť Ť (ϕ) := T ( ˇϕ),, (i) δ = 1, δ = iξ, δ (n) = (iξ) n (n), δ a = e iaξ (iξ) n. (ii) T S, ˇ T = Ť = T, T T S. (iii) T = T =,, f L 1, f = f = a.e. (i) δ (n) a (ϕ) = δ a (n) ( ϕ) = ( 1) n δ a ( ϕ (n) ) = ( 1) n ϕ (n) (a) = (iξ) n e iξa ϕ(ξ)dξ. (ii) Fourier, T T cals 1-1 onto., T n, ϕ S ϕ, T n (ϕ) = T n ( ϕ)., T n. f L 2 T f S, Fourier T f S., T f L (Plancherel ) f L 2 f L 2, f 2 = f 2., L 2 Fourier,. f(ϕ) = T f (ϕ) = T f ( ϕ) = f( ϕ) f 2 ϕ 2 = f 2 ϕ 2. Parseval. Cc S L 2, Cc : dense in L 2, S., f L 2, iesz, f L 2,, f 2 f 2.., ˇf = f( )/(), ˇf 2 = f 2 /(), f 2 = ˇf 2 () 3/2 ˇf 2 = f 2 f 2,. 5.1 T S, (i) T (n) = (iξ) n T, (ii) ( ix)n T = ( T ) (n), (iii) 1 = δ , t, x u(t, x), : t = / t, x 2 = 2 / x 2 c t u = γ xu. 2, c, γ. u(, x) = u (x).

27 App. of Leb. Integral Theory (S. Hiraba) ( ) c t u = γ xu, 2 u(, x) = u (x) S ( ), c u(t, ) = u v(t, ); v(t, x) = 2 4γt e cx /(4γt) v., x, t,,, (c t γ 2 x)v =, v(, x) = c t û = γξ 2 û, û(, ξ) = û (ξ). e γξ2 t/c = û(t, x) = û (ξ)e γξ2 t/c c 2 4γt F(e cx /(4γt) )(ξ),, u S, ϕ ψ = ϕ ψ, ( c û (ξ)e γξ2t/c = 4γt F(u (x) e cx 2 c /(4γt) )(ξ) = F 4γt,, c u(t, x) = 4γt u (y)e c(x y)2 /(4γt) dy = u v(t, )(x). ) u (y)e c(x y)2 /(4γt) dy (ξ), u,, u S.,, u(t, ) = u v(t, )., v, (c t γ 2 x)v =, (c t γ 2 x)u = u (c t γ 2 x)v =., t, v(t, x) δ x. f t (x) = ( t) 1 e x2 /(2t), f t (x) δ (t ) x, F t (x) := f s (y)dy, F t (x) f t (y)dy = 1., t, x > 1 F t (x) = 1 x/ t 1/ t e y2 /2 dy f 1 (y)dy = 1. x < 1 (,( 1/ t) (x/ t) (x) 1,, Lebesgue, F t (x) = 1 1 (,( 1/ t) (x/ t) (x)e y2 /2 dy (t ). F t (x) H(x). Lebesgue, F t H in S,, f t δ in S. Cauchy, t u = p( x )u, u(, x) = u (x). p(z) = a z n + a 1 z n a n (a j C)., u = δ, E(t, x)., u D ;, u(t, x) = u (x) E(t, x)., t u = u t E = u p( x )E = p( x )(u E) = p( x ), u(, x) = u E(, x) = (u δ)(x) = u (x).

28 App. of Leb. Integral Theory (S. Hiraba) t ( ) t 2 u(t, x) = xu(t, 2 x), u(, x) = u (x), t u(, x) = u 1 (x). u, u 1 L 1, u(t, x) = 1 2 [u (x + t) + u (x t)] d Alembert. x+t x t u 1 (y)dy u =, u = δ E(t, x),, E(t, x) = I( x < t)/2., t >, x E = 1 2 (δ t δ t ), 2 xe = 1 2 (δ t δ t)., t E = 1 2 (δ t + δ t ), 2 t E = 1 2 (δ t + δ t). E., u 1, u = u 1 E, u 1 L 1, u(t, x) = v 1 (t, x) := 1 2 u L 1, v(t, x) := 1 2 x+t x t t t u 1 (x y)dy = 1 2 x+t x t u 1 (y)dy. u (y)dy, v (t, x) := t v(t, x) := 1 2 [u (x + t) + u (x t)], v u(, x) =, t u(, x) = u (x), ( t 2 x)v 2 = t ( t 2 x)v 2 = v (, x) = t v(, x) = u (x), t v (, x) = [ x u (x) x u (x)]/2 =, u = v + v 1.

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 (Analysis I) Lebesgue (Lebesgue Integral Theory) 1 (Seiji HIRABA) 1 ( ),,, ( )

I (Analysis I) Lebesgue (Lebesgue Integral Theory) 1 (Seiji HIRABA) 1 ( ),,, ( ) I (Analysis I) Lebesgue (Lebesgue Integral Theory) 1 (Seiji HIRABA) 1 ( ),,, ( ) 1 (Introduction) 1 1.1... 1 1.2 Riemann Lebesgue... 2 2 (Measurable sets and Measures) 4 2.1 σ-... 4 2.2 Borel... 5 2.3...

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

8.1 Fubini 8.2 Fubini 9 (0%) 10 (50%) Carathéodory 10.3 Fubini 1 Introduction 1 (1) (2) {f n (x)} n=1 [a, b] K > 0 n, x f n (x) K < ( ) x [a

8.1 Fubini 8.2 Fubini 9 (0%) 10 (50%) Carathéodory 10.3 Fubini 1 Introduction 1 (1) (2) {f n (x)} n=1 [a, b] K > 0 n, x f n (x) K < ( ) x [a % 100% 1 Introduction 2 (100%) 2.1 2.2 2.3 3 (100%) 3.1 3.2 σ- 4 (100%) 4.1 4.2 5 (100%) 5.1 5.2 5.3 6 (100%) 7 (40%) 8 Fubini (90%) 2007.11.5 1 8.1 Fubini 8.2 Fubini 9 (0%) 10 (50%) 10.1 10.2 Carathéodory

More information

1 Introduction 1 (1) (2) (3) () {f n (x)} n=1 [a, b] K > 0 n, x f n (x) K < ( ) x [a, b] lim f n (x) f(x) (1) f(x)? (2) () f(x)? b lim a f n (x)dx = b

1 Introduction 1 (1) (2) (3) () {f n (x)} n=1 [a, b] K > 0 n, x f n (x) K < ( ) x [a, b] lim f n (x) f(x) (1) f(x)? (2) () f(x)? b lim a f n (x)dx = b 1 Introduction 2 2.1 2.2 2.3 3 3.1 3.2 σ- 4 4.1 4.2 5 5.1 5.2 5.3 6 7 8. Fubini,,. 1 1 Introduction 1 (1) (2) (3) () {f n (x)} n=1 [a, b] K > 0 n, x f n (x) K < ( ) x [a, b] lim f n (x) f(x) (1) f(x)?

More information

B2 ( 19 ) Lebesgue ( ) ( ) 0 This note is c 2007 by Setsuo Taniguchi. It may be used for personal or classroom purposes, but not for commercia

B2 ( 19 ) Lebesgue ( ) ( ) 0 This note is c 2007 by Setsuo Taniguchi. It may be used for personal or classroom purposes, but not for commercia B2 ( 19) Lebesgue ( ) ( 19 7 12 ) 0 This note is c 2007 by Setsuo Taniguchi. It may be used for personal or classroom purposes, but not for commercial purposes. i Riemann f n : [0, 1] R 1, x = k (1 m

More information

(3) (2),,. ( 20) ( s200103) 0.7 x C,, x 2 + y 2 + ax = 0 a.. D,. D, y C, C (x, y) (y 0) C m. (2) D y = y(x) (x ± y 0), (x, y) D, m, m = 1., D. (x 2 y

(3) (2),,. ( 20) ( s200103) 0.7 x C,, x 2 + y 2 + ax = 0 a.. D,. D, y C, C (x, y) (y 0) C m. (2) D y = y(x) (x ± y 0), (x, y) D, m, m = 1., D. (x 2 y [ ] 7 0.1 2 2 + y = t sin t IC ( 9) ( s090101) 0.2 y = d2 y 2, y = x 3 y + y 2 = 0 (2) y + 2y 3y = e 2x 0.3 1 ( y ) = f x C u = y x ( 15) ( s150102) [ ] y/x du x = Cexp f(u) u (2) x y = xey/x ( 16) ( s160101)

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

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

n=1 1 n 2 = π = π f(z) f(z) 2 f(z) = u(z) + iv(z) *1 f (z) u(x, y), v(x, y) f(z) f (z) = f/ x u x = v y, u y = v x

n=1 1 n 2 = π = π f(z) f(z) 2 f(z) = u(z) + iv(z) *1 f (z) u(x, y), v(x, y) f(z) f (z) = f/ x u x = v y, u y = v x n= n 2 = π2 6 3 2 28 + 4 + 9 + = π2 6 2 f(z) f(z) 2 f(z) = u(z) + iv(z) * f (z) u(x, y), v(x, y) f(z) f (z) = f/ x u x = v y, u y = v x f x = i f y * u, v 3 3. 3 f(t) = u(t) + v(t) [, b] f(t)dt = u(t)dt

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

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

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

More information

8.1 Fubini 8.2 Fubini 9 (0%) 10 (50%) 10.1 10.2 Carathéodory 10.3 Fubini 1 Introduction [1],, [2],, [3],, [4],, [5],, [6],, [7],, [8],, [1, 2, 3] 1980

8.1 Fubini 8.2 Fubini 9 (0%) 10 (50%) 10.1 10.2 Carathéodory 10.3 Fubini 1 Introduction [1],, [2],, [3],, [4],, [5],, [6],, [7],, [8],, [1, 2, 3] 1980 % 100% 1 Introduction 2 (100%) 2.1 2.2 2.3 3 (100%) 3.1 3.2 σ- 4 (100%) 4.1 4.2 5 (100%) 5.1 5.2 5.3 6 (100%) 7 (40%) 8 Fubini (90%) 2006.11.20 1 8.1 Fubini 8.2 Fubini 9 (0%) 10 (50%) 10.1 10.2 Carathéodory

More information

B [ 0.1 ] x > 0 x 6= 1 f(x) µ 1 1 xn 1 + sin sin x 1 x 1 f(x) := lim. n x n (1) lim inf f(x) (2) lim sup f(x) x 1 0 x 1 0 (

B [ 0.1 ] x > 0 x 6= 1 f(x) µ 1 1 xn 1 + sin sin x 1 x 1 f(x) := lim. n x n (1) lim inf f(x) (2) lim sup f(x) x 1 0 x 1 0 ( . 28 4 14 [.1 ] x > x 6= 1 f(x) µ 1 1 xn 1 + sin + 2 + sin x 1 x 1 f(x) := lim. 1 + x n (1) lim inf f(x) (2) lim sup f(x) x 1 x 1 (3) lim inf x 1+ f(x) (4) lim sup f(x) x 1+ [.2 ] [, 1] Ω æ x (1) (2) nx(1

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

実解析的方法とはどのようなものか

実解析的方法とはどのようなものか (1) ENCOUNTER with MATHEMATICS 2001 10 26 (2) 1807 J. B. J. Fourier 1 2π f(x) f(x) = n= c n (f) = 1 2π c n (f)e inx (1) π π f(t)e int dt Fourier 2 R f(x) f(x) = F[f](ξ)= 1 2π F [f](ξ)e ixξ dξ f(t)e iξx

More information

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

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

More information

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

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

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

More information

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

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

More information

2 2 ( Riemann ( 2 ( ( 2 ( (.8.4 (PDF 2

2 2 ( Riemann ( 2 ( ( 2 ( (.8.4 (PDF     2 2 ( 28 8 (http://nalab.mind.meiji.ac.jp/~mk/lecture/tahensuu2/ 2 2 ( Riemann ( 2 ( ( 2 ( (.8.4 (PDF http://nalab.mind.meiji.ac.jp/~mk/lecture/tahensuu2/ http://nalab.mind.meiji.ac.jp/~mk/lecture/tahensuu/

More information

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

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

More information

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

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

More information

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

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

More information

untitled

untitled 1 kaiseki1.lec(tex) 19951228 19960131;0204 14;16 26;0329; 0410;0506;22;0603-05;08;20;0707;09;11-22;24-28;30;0807;12-24;27;28; 19970104(σ,F = µ);0212( ); 0429(σ- A n ); 1221( ); 20000529;30(L p ); 20050323(

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

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

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

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

More information

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

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

More information

2011de.dvi

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

More information

構造と連続体の力学基礎

構造と連続体の力学基礎 II 37 Wabash Avenue Bridge, Illinois 州 Winnipeg にある歩道橋 Esplanade Riel 橋6 6 斜張橋である必要は多分無いと思われる すぐ横に道路用桁橋有り しかも塔基部のレストランは 8 年には営業していなかった 9 9. 9.. () 97 [3] [5] k 9. m w(t) f (t) = f (t) + mg k w(t) Newton

More information

2012 IA 8 I p.3, 2 p.19, 3 p.19, 4 p.22, 5 p.27, 6 p.27, 7 p

2012 IA 8 I p.3, 2 p.19, 3 p.19, 4 p.22, 5 p.27, 6 p.27, 7 p 2012 IA 8 I 1 10 10 29 1. [0, 1] n x = 1 (n = 1, 2, 3,...) 2 f(x) = n 0 [0, 1] 2. 1 x = 1 (n = 1, 2, 3,...) 2 f(x) = n 0 [0, 1] 1 0 f(x)dx 3. < b < c [, c] b [, c] 4. [, b] f(x) 1 f(x) 1 f(x) [, b] 5.

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

i

i i 3 4 4 7 5 6 3 ( ).. () 3 () (3) (4) /. 3. 4/3 7. /e 8. a > a, a = /, > a >. () a >, a =, > a > () a > b, a = b, a < b. c c n a n + b n + c n 3c n..... () /3 () + (3) / (4) /4 (5) m > n, a b >, m > n,

More information

II (10 4 ) 1. p (x, y) (a, b) ε(x, y; a, b) 0 f (x, y) f (a, b) A, B (6.5) y = b f (x, b) f (a, b) x a = A + ε(x, b; a, b) x a 2 x a 0 A = f x (

II (10 4 ) 1. p (x, y) (a, b) ε(x, y; a, b) 0 f (x, y) f (a, b) A, B (6.5) y = b f (x, b) f (a, b) x a = A + ε(x, b; a, b) x a 2 x a 0 A = f x ( II (1 4 ) 1. p.13 1 (x, y) (a, b) ε(x, y; a, b) f (x, y) f (a, b) A, B (6.5) y = b f (x, b) f (a, b) x a = A + ε(x, b; a, b) x a x a A = f x (a, b) y x 3 3y 3 (x, y) (, ) f (x, y) = x + y (x, y) = (, )

More information

Riemann-Stieltjes Poland S. Lojasiewicz [1] An introduction to the theory of real functions, John Wiley & Sons, Ltd., Chichester, 1988.,,,,. Riemann-S

Riemann-Stieltjes Poland S. Lojasiewicz [1] An introduction to the theory of real functions, John Wiley & Sons, Ltd., Chichester, 1988.,,,,. Riemann-S Riemnn-Stieltjes Polnd S. Lojsiewicz [1] An introduction to the theory of rel functions, John Wiley & Sons, Ltd., Chichester, 1988.,,,, Riemnn-Stieltjes 1 2 2 5 3 6 4 Jordn 13 5 Riemnn-Stieltjes 15 6 Riemnn-Stieltjes

More information

l µ l µ l 0 (1, x r, y r, z r ) 1 r (1, x r, y r, z r ) l µ g µν η µν 2ml µ l ν 1 2m r 2mx r 2 2my r 2 2mz r 2 2mx r 2 1 2mx2 2mxy 2mxz 2my r 2mz 2 r

l µ l µ l 0 (1, x r, y r, z r ) 1 r (1, x r, y r, z r ) l µ g µν η µν 2ml µ l ν 1 2m r 2mx r 2 2my r 2 2mz r 2 2mx r 2 1 2mx2 2mxy 2mxz 2my r 2mz 2 r 2 1 (7a)(7b) λ i( w w ) + [ w + w ] 1 + w w l 2 0 Re(γ) α (7a)(7b) 2 γ 0, ( w) 2 1, w 1 γ (1) l µ, λ j γ l 2 0 Re(γ) α, λ w + w i( w w ) 1 + w w γ γ 1 w 1 r [x2 + y 2 + z 2 ] 1/2 ( w) 2 x2 + y 2 + z 2

More information

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

More information

II Brown Brown

II Brown Brown II 16 12 5 1 Brown 3 1.1..................................... 3 1.2 Brown............................... 5 1.3................................... 8 1.4 Markov.................................... 1 1.5

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

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

ft. ft τfτdτ = e t.5.. fx = x [ π, π] n sinnx n n=. π a π a, x [ π, π] x = a n cosnx cosna + 4 n=. 3, x [ π, π] x 3 π x = n sinnx. n=.6 f, t gt n 3 n

ft. ft τfτdτ = e t.5.. fx = x [ π, π] n sinnx n n=. π a π a, x [ π, π] x = a n cosnx cosna + 4 n=. 3, x [ π, π] x 3 π x = n sinnx. n=.6 f, t gt n 3 n [ ]. A = IC X n 3 expx = E + expta t : n! n=. fx π x π. { π x < fx = x π fx F k F k = π 9 s9 fxe ikx dx, i =. F k. { x x fx = x >.3 ft = cosωt F s = s4 e st ftdt., e, s. s = c + iφ., i, c, φ., Gφ = lim

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

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

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

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

More information

f(x) = f(x ) + α(x)(x x ) α(x) x = x. x = f (y), x = f (y ) y = f f (y) = f f (y ) + α(f (y))(f (y) f (y )) f (y) = f (y ) + α(f (y)) (y y ) ( (2) ) f

f(x) = f(x ) + α(x)(x x ) α(x) x = x. x = f (y), x = f (y ) y = f f (y) = f f (y ) + α(f (y))(f (y) f (y )) f (y) = f (y ) + α(f (y)) (y y ) ( (2) ) f 22 A 3,4 No.3 () (2) (3) (4), (5) (6) (7) (8) () n x = (x,, x n ), = (,, n ), x = ( (x i i ) 2 ) /2 f(x) R n f(x) = f() + i α i (x ) i + o( x ) α,, α n g(x) = o( x )) lim x g(x) x = y = f() + i α i(x )

More information

4................................. 4................................. 4 6................................. 6................................. 9.................................................... 3..3..........................

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

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

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

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

( z = x 3 y + y ( z = cos(x y ( 8 ( s8.7 y = xe x ( 8 ( s83.8 ( ( + xdx ( cos 3 xdx t = sin x ( 8 ( s84 ( 8 ( s85. C : y = x + 4, l : y = x + a,

( z = x 3 y + y ( z = cos(x y ( 8 ( s8.7 y = xe x ( 8 ( s83.8 ( ( + xdx ( cos 3 xdx t = sin x ( 8 ( s84 ( 8 ( s85. C : y = x + 4, l : y = x + a, [ ] 8 IC. y d y dx = ( dy dx ( p = dy p y dx ( ( ( 8 ( s8. 3 A A = ( A ( A (3 A P A P AP.3 π y(x = { ( 8 ( s8 x ( π < x x ( < x π y(x π π O π x ( 8 ( s83.4 f (x, y, z grad(f ( ( ( f f f grad(f = i + j

More information

notekiso1_09.dvi

notekiso1_09.dvi 39 3 3.1 2 Ax 1,y 1 Bx 2,y 2 x y fx, y z fx, y x 1,y 1, 0 x 1,y 1,fx 1,y 1 x 2,y 2, 0 x 2,y 2,fx 2,y 2 A s I fx, yds lim fx i,y i Δs. 3.1.1 Δs 0 x i,y i N Δs 1 I lim Δx 2 +Δy 2 0 x 1 fx i,y i Δx i 2 +Δy

More information

(u(x)v(x)) = u (x)v(x) + u(x)v (x) ( ) u(x) = u (x)v(x) u(x)v (x) v(x) v(x) 2 y = g(t), t = f(x) y = g(f(x)) dy dx dy dx = dy dt dt dx., y, f, g y = f (g(x))g (x). ( (f(g(x)). ). [ ] y = e ax+b (a, b )

More information

webkaitou.dvi

webkaitou.dvi ( c Akir KANEKO) ).. m. l s = lθ m d s dt = mg sin θ d θ dt = g l sinθ θ l θ mg. d s dt xy t ( d x dt, d y dt ) t ( mg sin θ cos θ, sin θ sin θ). (.) m t ( d x dt, d y dt ) = t ( mg sin θ cos θ, mg sin

More information

December 28, 2018

December 28, 2018 e-mail : kigami@i.kyoto-u.ac.jp December 28, 28 Contents 2............................. 3.2......................... 7.3..................... 9.4................ 4.5............. 2.6.... 22 2 36 2..........................

More information

17 3 31 1 1 3 2 5 3 9 4 10 5 15 6 21 7 29 8 31 9 35 10 38 11 41 12 43 13 46 14 48 2 15 Radon CT 49 16 50 17 53 A 55 1 (oscillation phenomena) e iθ = cos θ + i sin θ, cos θ = eiθ + e iθ 2, sin θ = eiθ e

More information

y = f(x) y = f( + h) f(), x = h dy dx f () f (derivtive) (differentition) (velocity) p(t) =(x(t),y(t),z(t)) ( dp dx dt = dt, dy dt, dz ) dt f () > f x

y = f(x) y = f( + h) f(), x = h dy dx f () f (derivtive) (differentition) (velocity) p(t) =(x(t),y(t),z(t)) ( dp dx dt = dt, dy dt, dz ) dt f () > f x I 5 2 6 3 8 4 Riemnn 9 5 Tylor 8 6 26 7 3 8 34 f(x) x = A = h f( + h) f() h A (differentil coefficient) f f () y = f(x) y = f( + h) f(), x = h dy dx f () f (derivtive) (differentition) (velocity) p(t)

More information

A B P (A B) = P (A)P (B) (3) A B A B P (B A) A B A B P (A B) = P (B A)P (A) (4) P (B A) = P (A B) P (A) (5) P (A B) P (B A) P (A B) A B P

A B P (A B) = P (A)P (B) (3) A B A B P (B A) A B A B P (A B) = P (B A)P (A) (4) P (B A) = P (A B) P (A) (5) P (A B) P (B A) P (A B) A B P 1 1.1 (population) (sample) (event) (trial) Ω () 1 1 Ω 1.2 P 1. A A P (A) 0 1 0 P (A) 1 (1) 2. P 1 P 0 1 6 1 1 6 0 3. A B P (A B) = P (A) + P (B) (2) A B A B A 1 B 2 A B 1 2 1 2 1 1 2 2 3 1.3 A B P (A

More information

(Bessel) (Legendre).. (Hankel). (Laplace) V = (x, y, z) n (r, θ, ϕ) r n f n (θ, ϕ). f n (θ, ϕ) n f n (θ, ϕ) z = cos θ z θ ϕ n ν. P ν (z), Q ν (z) (Fou

(Bessel) (Legendre).. (Hankel). (Laplace) V = (x, y, z) n (r, θ, ϕ) r n f n (θ, ϕ). f n (θ, ϕ) n f n (θ, ϕ) z = cos θ z θ ϕ n ν. P ν (z), Q ν (z) (Fou (Bessel) (Legendre).. (Hankel). (Laplace) V = (x, y, z) n (r, θ, ϕ) r n f n (θ, ϕ). f n (θ, ϕ) n f n (θ, ϕ) z = cos θ z θ ϕ n ν. P ν (z), Q ν (z) (Fourier) (Fourier Bessel).. V ρ(x, y, z) V = 4πGρ G :.

More information

A 2008 10 (2010 4 ) 1 1 1.1................................. 1 1.2..................................... 1 1.3............................ 3 1.3.1............................. 3 1.3.2..................................

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

M3 x y f(x, y) (= x) (= y) x + y f(x, y) = x + y + *. f(x, y) π y f(x, y) x f(x + x, y) f(x, y) lim x x () f(x,y) x 3 -

M3 x y f(x, y) (= x) (= y) x + y f(x, y) = x + y + *. f(x, y) π y f(x, y) x f(x + x, y) f(x, y) lim x x () f(x,y) x 3 - M3............................................................................................ 3.3................................................... 3 6........................................... 6..........................................

More information

Fubini

Fubini 3............................... 3................................ 5.3 Fubini........................... 7.4.............................5..........................6.............................. 3.7..............................

More information

Z: Q: R: C:

Z: Q: R: C: 0 Z: Q: R: C: 3 4 4 4................................ 4 4.................................. 7 5 3 5...................... 3 5......................... 40 5.3 snz) z)........................... 4 6 46 x

More information

ルベーグ積分 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.

ルベーグ積分 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. ルベーグ積分 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. http://www.morikita.co.jp/books/mid/005431 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. Lebesgue 1 2 4 4 1 2 5 6 λ a

More information

i

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

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

mugensho.dvi

mugensho.dvi 1 1 f (t) lim t a f (t) = 0 f (t) t a 1.1 (1) lim(t 1) 2 = 0 t 1 (t 1) 2 t 1 (2) lim(t 1) 3 = 0 t 1 (t 1) 3 t 1 2 f (t), g(t) t a lim t a f (t) g(t) g(t) f (t) = o(g(t)) (t a) = 0 f (t) (t 1) 3 1.2 lim

More information

pdf

pdf http://www.ns.kogakuin.ac.jp/~ft13389/lecture/physics1a2b/ pdf I 1 1 1.1 ( ) 1. 30 m µm 2. 20 cm km 3. 10 m 2 cm 2 4. 5 cm 3 km 3 5. 1 6. 1 7. 1 1.2 ( ) 1. 1 m + 10 cm 2. 1 hr + 6400 sec 3. 3.0 10 5 kg

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

v er.1/ c /(21)

v er.1/ c /(21) 12 -- 1 1 2009 1 17 1-1 1-2 1-3 1-4 2 2 2 1-5 1 1-6 1 1-7 1-1 1-2 1-3 1-4 1-5 1-6 1-7 c 2011 1/(21) 12 -- 1 -- 1 1--1 1--1--1 1 2009 1 n n α { n } α α { n } lim n = α, n α n n ε n > N n α < ε N {1, 1,

More information

z f(z) f(z) x, y, u, v, r, θ r > 0 z = x + iy, f = u + iv C γ D f(z) f(z) D f(z) f(z) z, Rm z, z 1.1 z = x + iy = re iθ = r (cos θ + i sin θ) z = x iy

z f(z) f(z) x, y, u, v, r, θ r > 0 z = x + iy, f = u + iv C γ D f(z) f(z) D f(z) f(z) z, Rm z, z 1.1 z = x + iy = re iθ = r (cos θ + i sin θ) z = x iy z fz fz x, y, u, v, r, θ r > z = x + iy, f = u + iv γ D fz fz D fz fz z, Rm z, z. z = x + iy = re iθ = r cos θ + i sin θ z = x iy = re iθ = r cos θ i sin θ x = z + z = Re z, y = z z = Im z i r = z = z

More information

body.dvi

body.dvi ..1 f(x) n = 1 b n = 1 f f(x) cos nx dx, n =, 1,,... f(x) sin nx dx, n =1,, 3,... f(x) = + ( n cos nx + b n sin nx) n=1 1 1 5 1.1........................... 5 1.......................... 14 1.3...........................

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

i 6 3 ii 3 7 8 9 3 6 iii 5 8 5 3 7 8 v...................................................... 5.3....................... 7 3........................ 3.................3.......................... 8 3 35

More information

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

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

More information

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

More information

leb224w.dvi

leb224w.dvi 2 4 i Lebesgue Fourier 7 5 Lebesgue Walter. F. Riesz and B. Sz.-Nagy, Functional Analysis, Dover Publ. Inc., New York (99) ( 49 ) 2. ( 8 ) 3. A.2 Fourier Laplace (957 ) 4. (98 ) 5. G. G. Walter, Wavelets

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

..3. Ω, Ω F, P Ω, F, P ). ) F a) A, A,..., A i,... F A i F. b) A F A c F c) Ω F. ) A F A P A),. a) 0 P A) b) P Ω) c) [ ] A, A,..., A i,... F i j A i A

..3. Ω, Ω F, P Ω, F, P ). ) F a) A, A,..., A i,... F A i F. b) A F A c F c) Ω F. ) A F A P A),. a) 0 P A) b) P Ω) c) [ ] A, A,..., A i,... F i j A i A .. Laplace ). A... i),. ω i i ). {ω,..., ω } Ω,. ii) Ω. Ω. A ) r, A P A) P A) r... ).. Ω {,, 3, 4, 5, 6}. i i 6). A {, 4, 6} P A) P A) 3 6. ).. i, j i, j) ) Ω {i, j) i 6, j 6}., 36. A. A {i, j) i j }.

More information

[ ] 0.1 lim x 0 e 3x 1 x IC ( 11) ( s114901) 0.2 (1) y = e 2x (x 2 + 1) (2) y = x/(x 2 + 1) 0.3 dx (1) 1 4x 2 (2) e x sin 2xdx (3) sin 2 xdx ( 11) ( s

[ ] 0.1 lim x 0 e 3x 1 x IC ( 11) ( s114901) 0.2 (1) y = e 2x (x 2 + 1) (2) y = x/(x 2 + 1) 0.3 dx (1) 1 4x 2 (2) e x sin 2xdx (3) sin 2 xdx ( 11) ( s [ ]. lim e 3 IC ) s49). y = e + ) ) y = / + ).3 d 4 ) e sin d 3) sin d ) s49) s493).4 z = y z z y s494).5 + y = 4 =.6 s495) dy = 3e ) d dy d = y s496).7 lim ) lim e s49).8 y = e sin ) y = sin e 3) y =

More information

(Basic of Proability Theory). (Probability Spacees ad Radom Variables , (Expectatios, Meas) (Weak Law

(Basic of Proability Theory). (Probability Spacees ad Radom Variables , (Expectatios, Meas) (Weak Law I (Radom Walks ad Percolatios) 3 4 7 ( -2 ) (Preface),.,,,...,,.,,,,.,.,,.,,. (,.) (Basic of Proability Theory). (Probability Spacees ad Radom Variables...............2, (Expectatios, Meas).............................

More information

tokei01.dvi

tokei01.dvi 2. :,,,. :.... Apr. - Jul., 26FY Dept. of Mechanical Engineering, Saga Univ., JAPAN 4 3. (probability),, 1. : : n, α A, A a/n. :, p, p Apr. - Jul., 26FY Dept. of Mechanical Engineering, Saga Univ., JAPAN

More information

I 1

I 1 I 1 1 1.1 1. 3 m = 3 1 7 µm. cm = 1 4 km 3. 1 m = 1 1 5 cm 4. 5 cm 3 = 5 1 15 km 3 5. 1 = 36 6. 1 = 8.64 1 4 7. 1 = 3.15 1 7 1 =3 1 7 1 3 π 1. 1. 1 m + 1 cm = 1.1 m. 1 hr + 64 sec = 1 4 sec 3. 3. 1 5 kg

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

untitled

untitled 2 : n =1, 2,, 10000 0.5125 0.51 0.5075 0.505 0.5025 0.5 0.4975 0.495 0 2000 4000 6000 8000 10000 2 weak law of large numbers 1. X 1,X 2,,X n 2. µ = E(X i ),i=1, 2,,n 3. σi 2 = V (X i ) σ 2,i=1, 2,,n ɛ>0

More information

Fourier Fourier Gibbs

Fourier Fourier Gibbs 3 4 5 Fourier 3. Fourier............................................ 3. Gibbs.............................................. 4.3....................................... 6.4.........................................

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

18 ( ) I II III A B C(100 ) 1, 2, 3, 5 I II A B (100 ) 1, 2, 3 I II A B (80 ) 6 8 I II III A B C(80 ) 1 n (1 + x) n (1) n C 1 + n C

18 ( ) I II III A B C(100 ) 1, 2, 3, 5 I II A B (100 ) 1, 2, 3 I II A B (80 ) 6 8 I II III A B C(80 ) 1 n (1 + x) n (1) n C 1 + n C 8 ( ) 8 5 4 I II III A B C( ),,, 5 I II A B ( ),, I II A B (8 ) 6 8 I II III A B C(8 ) n ( + x) n () n C + n C + + n C n = 7 n () 7 9 C : y = x x A(, 6) () A C () C P AP Q () () () 4 A(,, ) B(,, ) C(,,

More information

Basic Math. 1 0 [ N Z Q Q c R C] 1, 2, 3,... natural numbers, N Def.(Definition) N (1) 1 N, (2) n N = n +1 N, (3) N (1), (2), n N n N (element). n/ N.

Basic Math. 1 0 [ N Z Q Q c R C] 1, 2, 3,... natural numbers, N Def.(Definition) N (1) 1 N, (2) n N = n +1 N, (3) N (1), (2), n N n N (element). n/ N. Basic Mathematics 16 4 16 3-4 (10:40-12:10) 0 1 1 2 2 2 3 (mapping) 5 4 ε-δ (ε-δ Logic) 6 5 (Potency) 9 6 (Equivalence Relation and Order) 13 7 Zorn (Axiom of Choice, Zorn s Lemma) 14 8 (Set and Topology)

More information

6.1 (P (P (P (P (P (P (, P (, P.101

6.1 (P (P (P (P (P (P (, P (, P.101 (008 0 3 7 ( ( ( 00 1 (P.3 1 1.1 (P.3.................. 1 1. (P.4............... 1 (P.15.1 (P.15................. (P.18............3 (P.17......... 3.4 (P................ 4 3 (P.7 4 3.1 ( P.7...........

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

IA 2013 : :10722 : 2 : :2 :761 :1 (23-27) : : ( / ) (1 /, ) / e.g. (Taylar ) e x = 1 + x + x xn n! +... sin x = x x3 6 + x5 x2n+1 + (

IA 2013 : :10722 : 2 : :2 :761 :1 (23-27) : : ( / ) (1 /, ) / e.g. (Taylar ) e x = 1 + x + x xn n! +... sin x = x x3 6 + x5 x2n+1 + ( IA 2013 : :10722 : 2 : :2 :761 :1 23-27) : : 1 1.1 / ) 1 /, ) / e.g. Taylar ) e x = 1 + x + x2 2 +... + xn n! +... sin x = x x3 6 + x5 x2n+1 + 1)n 5! 2n + 1)! 2 2.1 = 1 e.g. 0 = 0.00..., π = 3.14..., 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

2009 IA I 22, 23, 24, 25, 26, a h f(x) x x a h

2009 IA I 22, 23, 24, 25, 26, a h f(x) x x a h 009 IA I, 3, 4, 5, 6, 7 7 7 4 5 h fx) x x h 4 5 4 5 1 3 1.1........................... 3 1........................... 4 1.3..................................... 6 1.4.............................. 8 1.4.1..............................

More information

(Basics of Proability Theory). (Probability Spacees ad Radom Variables,, (Ω, F, P ),, X,. (Ω, F, P ) (probability space) Ω ( ω Ω ) F ( 2 Ω ) Ω σ (σ-fi

(Basics of Proability Theory). (Probability Spacees ad Radom Variables,, (Ω, F, P ),, X,. (Ω, F, P ) (probability space) Ω ( ω Ω ) F ( 2 Ω ) Ω σ (σ-fi I (Basics of Probability Theory ad Radom Walks) 25 4 5 ( 4 ) (Preface),.,,,.,,,...,,.,.,,.,,. (,.) (Basics of Proability Theory). (Probability Spacees ad Radom Variables...............2, (Expectatios,

More information

grad φ(p ) φ P grad φ(p ) p P p φ P p l t φ l t = 0 g (0) g (0) (31) grad φ(p ) p grad φ φ (P, φ(p )) xy (x, y) = (ξ(t), η(t)) ( )

grad φ(p ) φ P grad φ(p ) p P p φ P p l t φ l t = 0 g (0) g (0) (31) grad φ(p ) p grad φ φ (P, φ(p )) xy (x, y) = (ξ(t), η(t)) ( ) 2 9 2 5 2.2.3 grad φ(p ) φ P grad φ(p ) p P p φ P p l t φ l t = g () g () (3) grad φ(p ) p grad φ φ (P, φ(p )) y (, y) = (ξ(t), η(t)) ( ) ξ (t) (t) := η (t) grad f(ξ(t), η(t)) (t) g(t) := f(ξ(t), η(t))

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