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
パーフェクトイド空間とコホモロジー
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Naoya Umezaki
October 06, 2018
1.9k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
パーフェクトイド空間とコホモロジー
MATHPOWER2018での講演。フィールズ賞受賞者Peter Scholzeの業績紹介。
Naoya Umezaki
October 06, 2018
More Decks by Naoya Umezaki
See All by Naoya Umezaki
証明支援系LEANに入門しよう
unaoya
2
4.5k
ミケル点とべズーの定理
unaoya
0
1.1k
すうがく徒のつどい@オンライン「ラマヌジャンのデルタ」
unaoya
0
810
合同式と幾何学
unaoya
0
2.3k
すうがく徒のつどい@オンライン「ヴェイユ予想とl進層のフーリエ変換」
unaoya
0
980
Egisonパターンマッチによる彩色
unaoya
1
680
関数等式と双対性
unaoya
1
880
直交多項式と表現論
unaoya
0
1k
導来代数幾何入門
unaoya
0
1.2k
Featured
See All Featured
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
470
Stop Working from a Prison Cell
hatefulcrawdad
274
21k
State of Search Keynote: SEO is Dead Long Live SEO
ryanjones
0
230
Everyday Curiosity
cassininazir
0
260
Redefining SEO in the New Era of Traffic Generation
szymonslowik
1
370
For a Future-Friendly Web
brad_frost
183
10k
Between Models and Reality
mayunak
4
380
How to build a perfect <img>
jonoalderson
1
5.8k
Hiding What from Whom? A Critical Review of the History of Programming languages for Music
tomoyanonymous
3
1k
The Curse of the Amulet
leimatthew05
2
13k
Money Talks: Using Revenue to Get Sh*t Done
nikkihalliwell
0
420
How STYLIGHT went responsive
nonsquared
100
6.2k
Transcript
ύʔϑΣΫτΠυۭؒͱ ίϗϞϩδʔ Peter Scholzeͷۀհ ക࡚@unaoya ͢͏͕͘ͿΜ͔ MATHPOWER2018 10/6
डཧ༝ p ਐͰͷزԿͷݚڀ ▶ ύʔϑΣΫτΠυۭؒͷཧ ▶ ϥϯάϥϯζରԠͷԠ༻ ▶ ৽͍͠ίϗϞϩδʔཧ
pਐ ༗ཧ͔Β࣮3.14159265 · · · ༗ཧ͔Βp ਐ · · ·
245123 = 3+2p+1p2 +5p3 +4p4 +2p5 +· · ·
pਐ ▶ ࣮Ͱ0.9999 · · · = 1 ▶ p
= 2ͷͱ͖ɺpਐͰ· · · 111111 = −1
زԿֶ ଟ߲ࣜΛߟ͑Δͱਤܗ͕ܾ·Δɻ ▶ ԁx2 + y2 = 1 ▶ ପԁۂઢy2
= x3 + x ▶ ϑΣϧϚʔۂઢxn + yn = 1
ίϗϞϩδʔ ݀ͷΛ͑Δɻਤܗͷྨ͕Ͱ͖Δɻ H1 sing (X) = H1 dR (X) =
R2
ίϗϞϩδʔ ༷ʑͳίϗϞϩδʔ͕͋Δɻ υϥʔϜ ίϗϞϩδʔ ಛҟ ίϗϞϩδʔ ؔ ඍํఔࣜ ۭؒͷதͷ ਤܗͷมܗ
ίϗϞϩδʔͷൺֱ υϥʔϜ ίϗϞϩδʔ ಛҟ ίϗϞϩδʔ ϗοδ ίϗϞϩδʔ ίϗϞϩδʔͷൺֱ͔Βपظ͕ग़ͯ͘Δɻ
ͱίϗϞϩδʔ ▶ ੲ͔Βߟ͑ΒΕ͍͍ͯͨΖΜͳ͕ί ϗϞϩδʔΛͬͯදݱͰ͖Δɻ ▶ ʹԠ༻ʢϦʔϚϯ༧ͷྨࣅʣ ▶ ίϗϞϩδʔΛௐΕ৭ʑΘ͔Δʂ
ύʔϑΣΫτΠυۭؒ ▶ زԿଟ߲ࣜx, x2 + ax + b, . .
. ▶ ղੳزԿऩଋႈڃx + px + p2x2 + · · · ▶ ύʔϑΣΫτΠυۭؒ 1/x + p + p2x + · · · , 1/xp + 1 + px + · · · , 1/xp2 + 1/xp + · · · , . . .
ύʔϑΣΫτΠυۭؒ ύʔϑΣΫτΠυۭؒΛ͏ͱίϗϞϩδʔ ͕ௐ͘͢ͳΔɻ
pਐHodgeཧ ίϗϞϩδʔͷൺֱఆཧ Hi ´ et (X, Fp ) ⊗ OC
/p ∼ = Hi ´ et (X, O+ X /p) Hi ´ et (X, Qp ) ⊗Qp BdR ∼ = Hi dR (X0 ) ⊗k BdR
pਐपظࣸ૾ ϗοδཧͷp ਐ൛ πHT : S∗ Kp → F ପԁۂઢͷ
ϞδϡϥΠ ίϗϞϩδʔ ͷൺֱ
LanglandsରԠ ΨϩΞදݱ อܕදݱ ପԁۂઢ อܕܗࣜ ▶ ࠨ͖ɿΨϩΞදݱͷߏ ΞΠώϥʔ-ࢤଜ etc ▶
ӈ͖ɿΨϩΞදݱͷอܕੑ ςΠϥʔ-ϫΠϧζ etc
LanglandsରԠ ΨϩΞදݱ อܕදݱ 1. ίϗϞϩδʔͷൺֱఆཧ 2. ہॴରশۭؒͷp-torsionίϗϞϩδʔ͕ ௐΒΕΔ 3. ΑΓ͍อܕදݱ͔ΒΨϩΞදݱͷߏ
4. ΨϩΞදݱͷอܕੑʹԠ༻
৽͍͠ίϗϞϩδʔཧ ίϗϞϩδʔΛ౷Ұతʹѻ͍͍ͨ ʁ Τλʔϧ ΫϦε λϦϯ υϥʔϜ
৽͍͠ίϗϞϩδʔཧ ϥϯάϥϯζରԠͷݚڀ͔Β γτΡΧʁ Τλʔϧ ΫϦε λϦϯ υϥʔϜ