Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
非線形熱方程式の大域解の集合の連結性
Search
木村すらいむ
March 19, 2016
Science
0
850
非線形熱方程式の大域解の集合の連結性
東京工業大大学院 理工学研究科 数学専攻
修士前期課程 修論発表(2016.02.16)
木村すらいむ
March 19, 2016
Tweet
Share
More Decks by 木村すらいむ
See All by 木村すらいむ
東工大創造性育成科目事例発表会「サイエンスカフェ - 組織と運営」発表スライド(2016/01/07)
kimu3_slime
0
230
オンライン講座「MOOCってなに?」(2015/10/02)
kimu3_slime
0
120
半線形熱方程式の解の挙動について
kimu3_slime
0
760
Other Decks in Science
See All in Science
白金鉱業Vol.21【初学者向け発表枠】身近な例から学ぶ数理最適化の基礎 / Learning the Basics of Mathematical Optimization Through Everyday Examples
brainpadpr
1
490
データベース11: 正規化(1/2) - 望ましくない関係スキーマ
trycycle
PRO
0
1k
Accelerated Computing for Climate forecast
inureyes
PRO
0
140
(メタ)科学コミュニケーターからみたAI for Scienceの同床異夢
rmaruy
0
150
Algorithmic Aspects of Quiver Representations
tasusu
0
130
KH Coderチュートリアル(スライド版)
koichih
1
55k
Vibecoding for Product Managers
ibknadedeji
0
120
Performance Evaluation and Ranking of Drivers in Multiple Motorsports Using Massey’s Method
konakalab
0
130
タンパク質間相互作⽤を利⽤した⼈⼯知能による新しい薬剤遺伝⼦-疾患相互作⽤の同定
tagtag
0
130
データベース10: 拡張実体関連モデル
trycycle
PRO
0
1k
検索と推論タスクに関する論文の紹介
ynakano
1
110
機械学習 - 決定木からはじめる機械学習
trycycle
PRO
0
1.2k
Featured
See All Featured
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
0
67
Measuring & Analyzing Core Web Vitals
bluesmoon
9
710
Deep Space Network (abreviated)
tonyrice
0
22
How to Think Like a Performance Engineer
csswizardry
28
2.4k
A brief & incomplete history of UX Design for the World Wide Web: 1989–2019
jct
1
270
The untapped power of vector embeddings
frankvandijk
1
1.5k
Balancing Empowerment & Direction
lara
5
820
Jamie Indigo - Trashchat’s Guide to Black Boxes: Technical SEO Tactics for LLMs
techseoconnect
PRO
0
32
The Cost Of JavaScript in 2023
addyosmani
55
9.4k
Redefining SEO in the New Era of Traffic Generation
szymonslowik
1
170
JAMstack: Web Apps at Ludicrous Speed - All Things Open 2022
reverentgeek
1
300
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
130
Transcript
ඇઢܗํఔࣜͷେҬղͷ࿈݁ੑ ౦ژۀେֶେֶӃ ཧֶݚڀՊ ֶઐ߈ म࢜՝ఔ ଜҰً 1
࣍ 1. ಋೖ 2. ઃఆ 3. ઌߦݚڀ 4. ఆཧ 5.
ূ໌ 6. ·ͱΊ 2
ಋೖ ํఔࣜʢ֦ࢄํఔࣜʣ ඇઢܗํఔࣜʢԠ֦ࢄํఔࣜʣ ut = u ut = u +
f(u) u = u ( x, t ) ut = u + |u|p 1u p > 1 3
ಋೖ ut = u + |u|p 1u p > 1
pF := (N + 2)/N Fujita(1966) ઌۦతݚڀʢྟքࢦͷൃݟʣ ౻ాܕํఔࣜ ͳΒɺਖ਼େҬղ͕ଘࡏ͢Δɻ ͳΒɺͯ͢ͷਖ਼ղ͕༗ݶ࣌ؒͷ͏ͪʹ p < pF p > pF in RN ൃࢄ͢Δʢղͷരൃʣ 4
ಋೖ ⌦ ⇢ RN ༗քͰͳΊΒ͔ͳྖҬ ۭؒ࣍ݩ u = u (
x, t ) x 2 ⌦ , t 0 N 1 8 > < > : ut u = f(u) in ⌦ ⇥ (0, T) u = 0 on @⌦ ⇥ (0, T) u(x, 0) = u0(x) in ⌦ ͜ͷܗͷઢܗํఔࣜʹ͍ͭͯߟ͑Δɻ 5
ಋೖ ղۭؒ ʢsup ϊϧϜʣ 8 > < > : ut
u = f(u) in ⌦ ⇥ (0, T) u = 0 on @⌦ ⇥ (0, T) u(x, 0) = u0(x) in ⌦ ॳظ݅ u0 2 C0(⌦) ඇઢܗ߲ f 2 C1(R) C0(⌦) 6
ಋೖ ͷͱ͖ɺ࣌ؒେҬղͱ͍͏ɻ ͷͱ͖ɺʢ༗ݶ࣌ؒʣരൃղͱ͍͍ɺ Tu0 = 1 Tu0 < 1 Tu0
Λരൃ࣌ࠁͱ͍͏ɻ ͜ͷͱ͖ɺॳظ݅ʹରͯ͠Ұҙʹ ࣌ؒہॴతͳղ͕ଘࡏ͢Δɻ ղͷ࠷େଘࡏ࣌ؒ Tu0 7
ઃఆ G := {u0 2 X | Tu0 = 1}
B := {u0 2 X | Tu0 < 1} ࣌ؒେҬղ രൃղ Λɺೋͭͷू߹ʹΘ͚Δɻ G \ B = ; ղۭؒ ͱͳ͍ͬͯΔɻ C0(⌦) C0(⌦) = G [ B 8
ઃఆ G ʹ͓͍ͯހঢ়࿈͔݁ʁ ࣌ؒେҬղͷू߹ G ʹ͓͍ͯ࿈͔݁ʁ ࣌ؒେҬղͷू߹ େҬղͱരൃղ͕ࠞࡏ͢Δํఔࣜʹ͓͍ͯɺେҬղ
ͷू߹͕࿈݁Ͱ͋Δ͔Ͳ͏͔ɺํఔࣜͷղͷߏ Λཧղ͢ΔͨΊͷॏཁͳಛͰ͋Δͱߟ͑ΒΕΔɻ C0(⌦) C0(⌦) 9
ઌߦ݁Ռ P. L. Lions (1982) ͕ತؔͳΒɺ f G ತू߹ɻ →
G ࿈݁ɺހঢ়࿈݁Ͱ͋Δɻ 10
ઌߦ݁Ռ T. Cazenave, F. Dickstein, F. B. Weissler (2010) |f|
͕1ΑΓେ͖͘1ʹे͍ۙႈؔͰ ্͔Β͓͑͞ΒΕɺ͞Βʹ͍͔ͭ͘ͷ݅ Λຬͨ͢ͳΒɺG ತͰͳ͍ɻ 11
ઌߦ݁Ռ ̎ɽ͋Δ ɹɹɹɹ ⌘, " > 0 f(s) ⌘s1+✏ s
2 R f(0) = 0 ͱ͍͏݅ΛՃ͑Εɺ 1ɽ ࣗ໌ղͱ͍͏େҬղ͕ଘࡏ͢Δɻ രൃղ͕ଘࡏ͢Δɻ ͕ଘࡏͯ͠ɺेେ͖ͳ ʹରͯ͠ɺ ͱ͍͏݅ΛՃ͑Δͱɺ G 6= ;, B 6= ; ͱͳΔඇઢܗ߲ͷ݅ʹ͍ͭͯ 12
ઌߦ݁Ռ ͱ͢Δͱɺ f(s) = |s|p 1s, p > 1 G
6= ;, B 6= ; ͱͳΔɻ ઌ΄Ͳͷ̍ɽ̎ɽͷ݅Λຬͨ͠ɺ 13
ઌߦ݁Ռ T. Cazenave, F. Dickstein, F. B. Weissler (2010) ɹɹɹ͕ɺ1ʹे͍ۙͳΒɺ
ٿରশͳେҬղͷू߹࿈݁Ͱ͋Δɻ p > 1 14
ઌߦ݁Ռ T. Cazenave, F. Dickstein, F. B. Weissler (2010) →ހঢ়࿈݁ੑෆ໌
ɹɹɹ͕ɺ1ʹे͍ۙͳΒɺ ٿରশͳେҬղͷू߹࿈݁Ͱ͋Δɻ p > 1 15
ओఆཧ ओఆཧɺۭؒ̍࣍ݩʹ੍ݶͨ͠ͱ͖ʹɺେҬղͷू ߹͕ހঢ়࿈݁ੑΛ໌Β͔ʹͨ͠ɻ 16
ओఆཧ ހঢ়࿈݁Ͱ͋Δɻ G ͜ͷͱ͖ɺ ͱ͢Δɻ 8 > < > :
ut = uxx + | u |p 1 u in ( 1, 1) ⇥ (0, T) u = 0 on @ { ( 1, 1) } ⇥ (0, T) u(x, 0) = u0(x) in [ 1, 1] N = 1, ⌦ = ( 1, 1) 17
ূ໌ • ൃදʹ͓͚Δূ໌ͷྲྀΕ • ໋Λ༻ҙ • ໋ΛͬͯఆཧΛূ໌ • ໋Λূ໌ 18
ূ໌ C0(⌦) 2 S v 0 19
ূ໌ ఆཧΛূ໌͢ΔͨΊʹɺ࣍ͷ໋Λࣔ͢ɻ ໋ Λͭͳ͙ϔςϩΫϦχοΫيಓ͕ଘࡏ͢Δɻ S v 0 v 2 S
Λఆৗղͷू߹ͱ͠ɺ ҙʹඇࣗ໌ͳఆৗղ ΛͱΔɻ ͱ u ! v (t ! 1), u ! 0 (t ! 1) u 2 G ͱͳΔΑ͏ͳ ͷ͜ͱʣ 20
ূ໌ C0(⌦) 2 S v 0 u 21
ূ໌ ཱ͕͢Δ͜ͱ͕ΒΕ͍ͯΔɻ ఆཧͷূ໌ !(u0) ⇢ S !(u0) ͷਖ਼ͷۃݶू߹ʢω-ۃݶू߹ʣ ͜ͷํఔࣜͰɺҙͷ ʹର͠ɺ
u0 u0 2 G ରԠ͢Δղ ͕ t ! 1 ͰҰ༷ʹ༗քͰ͋Γɺ ʢํఔࣜʹରԠ͢ΔΤωϧΪʔ൚ؔΛௐΔʣ 22
ূ໌ C0(⌦) 2 S v 0 2 G u0 u
23
ূ໌ ཱ͕͢Δɻ !(u0) ⇢ S ໋ʹΑΓɺҙͷඇࣗ໌ͳఆৗղ v 2 S ɺࣗ໌ղ0ͱͭͳ͛ΒΕΔɻ
ΑͬͯɺେҬղͷू߹ ހঢ়࿈݁Ͱ͋Δɻ G ఆཧͷূ໌ऴΘΓ 24
ূ໌ ิ ໋ͷূ໌ ( ' xx + p|v|p 1' =
' in ( 1 , 1) ' = 0 on @ ( 1 , 1) ͷ·ΘΓͰͷઢܗԽݻ༗Λߟ͑Δɻ v 2 S ࠷େͷݻ༗Λ ͕ෆ҆ఆͰ͋Δ͜ͱΛҙຯ͢Δɻ ɺରԠ͢Δݻ༗ؔΛ 1 '1 ͱ͢Δɻ ͜ͷͱ͖ɺ 1 > 0 Ͱ͋Δɻ ͜Ε v 25
ূ໌ 1 = sup U2H1 0 (⌦),U6⌘0 R ⌦ {
|r U |2 + p' p 1 1 U 2} dx R ⌦ U 2 dx มݪཧʹΑΓ࠷େݻ༗ϨΠϦʔͱͯ͠දͤΔɻ U = '1 ͱͯ͠ࢠΛܭࢉ͢Δɻ '1 ͕ఆৗղͰ͋Δ͜ͱɺάϦʔϯͷఆཧ Λ͍ܭࢉ͢Δͱ 1 > 0 26
ূ໌ Λͭͳ͙ϔςϩΫϦχοΫيಓ͕ଘࡏ͢Δɻ S v 0 v 2 S Λఆৗղͷू߹ͱ͠ɺ ҙʹඇࣗ໌ͳఆৗղ
ΛͱΔɻ ͱ ͜ͷ໋Λࣔͨ͢Ίʹɺ u ! v (t ! 1), u ! 0 (t ! 1) u 2 G ͱͳΔΑ͏ͳ ͕ଘࡏ͢Δ͜ͱΛࣔͤྑ͍ɻ 27
ূ໌ ༏ղɾྼղͷํ๏Ͱ u ! v (t ! 1), u !
0 (t ! 1) u 2 G ͱͳΔΑ͏ͳ Λߏ͢Δɻ Ͱද͠ɺ߹͚͍ͯࣔͯ͘͠͠ɻ u := v "e (t)'1(t < 0) u := v "e 1t'1(t < 0) ߹̍ɽ ͷͱ͖ ΛదʹܾΊɺ ͱ͓͘ɻ z[v] v z[v] = 0 ͷྵΛ ", 28
ূ໌ u, u ! v (t ! 1) u :=
v "e (t)'1(t < 0) u := v "e 1t'1(t < 0) ΛదʹܾΊΔ͜ͱͰ ͜ΕΒ͕༏ղɾྼղͱͳΔɻ ཱɻ ( t ) = 1t 1 p 1 log(1 + 1 1 e 1(p 1)t ) ", 29
ূ໌ Y. Fukao, Y. Morita, H. Ninomiya(2004) Λࢀߟʹ ͕ͨͬͯ͠ɺ༏ղɾྼղͷํ๏ʹΑΓɺ ui(
x, i ) := u (| x | , i ) {ui }i2N ͱ͓͖ɺ ui ! u (i ! 1) ͕ࣔͤΔɻ ΞείϦɾΞϧπΣϥͷఆཧΛ༻͍ͯ Λߏ͢Δɻ ղͷྻ t < 0 Ͱఆٛ͞Εͨղ u ͕ଘࡏ͢Δɻ ͜͜Ͱ 30
ূ໌ v u u ! 0 (t ! 1) ۭؒ1࣍ݩͷͰྵ͕ඇ૿ՃͰ͋Δ͜ͱɺ
͕ࣔͤͨɻ ߹2. z[v] = k(k 2 N) ͜ͷ߹ɺ z[v] = 0 v Λ ͱͳΔղͷͭͳ͗߹Θͤ ͱͯ͠ߟ͑Δ͜ͱͰɺz[v] = 0 ͷ߹ʹؼண͢Δɻ ূ໌ऴΘΓ ͕ෆ҆ఆͰ͋Δ͜ͱʢิ1ʣΑΓɺ v 31 ܭࢉʹΑΓ
ূ໌ C0(⌦) 2 S v 0 2 G u0 u
32
·ͱΊ ހঢ়࿈݁Ͱ͋Δɻ G ͜ͷͱ͖ɺ ͱ͢Δɻ 8 > < > :
ut = uxx + | u |p 1 u in ( 1, 1) ⇥ (0, T) u = 0 on @ { ( 1, 1) } ⇥ (0, T) u(x, 0) = u0(x) in [ 1, 1] G ʹ͓͍ͯހঢ়࿈͔݁ʁ X ࣌ؒେҬղͷू߹ N = 1, ⌦ = ( 1, 1) 33