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
整数論と様々な数学
Search
Naoya Umezaki
October 06, 2018
800
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
整数論と様々な数学
MATHPOWER2018での講演。フィールズ賞受賞者Akshay Venkatesh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
5k
ミケル点とべズーの定理
unaoya
0
1.2k
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
830
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
1k
Egisonパターンマッチによる彩色
unaoya
1
690
関数等式と双対性
unaoya
1
900
直交多項式と表現論
unaoya
0
1k
導来代数幾何入門
unaoya
0
1.3k
Featured
See All Featured
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
2
270
GraphQLとの向き合い方2022年版
quramy
50
15k
Balancing Empowerment & Direction
lara
6
1.3k
New Earth Scene 8
popppiees
3
2.5k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
56k
技術選定の審美眼(2025年版) / Understanding the Spiral of Technologies 2025 edition
twada
PRO
120
120k
エンジニアに許された特別な時間の終わり
watany
108
250k
Automating Front-end Workflow
addyosmani
1369
210k
Unsuck your backbone
ammeep
672
58k
From π to Pie charts
rasagy
0
360
Ten Tips & Tricks for a 🌱 transition
stuffmc
0
200
SEOcharity - Dark patterns in SEO and UX: How to avoid them and build a more ethical web
sarafernandez
0
270
Transcript
ͱ༷ʑͳֶ Akshay Venkateshͷۀհ ക࡚@unaoya ͢͏͕͘ͿΜ͔ MATHPOWER2018 10/6
डཧ༝ ͷ༷ʑͳΛ ▶ ྗֶܥ ▶ τϙϩδʔ ▶ දݱ ΛԠ༻ͯ͠ղܾɻ
ೋ࣍ܗࣜ ϥάϥϯδϡͷ࢛ฏํఆཧ x2 + y2 + z2 + w2 ͰશͯͷΛද͢ɻ
10 = 12 + 32 15 = 32 + 22 + 12 + 12
ೋ࣍ܗࣜ ೋ࣍ܗࣜͷม P(x1 , x2 , x3 ) = x2
1 + x2 2 + x2 3 Q(y1 , y2 ) = 2y2 1 + 2y1 y2 + 2y2 2 Λߟ͑Δɻ x1 = y1 + y2 , x2 = y1 , x3 = y2 ͱ͢Δɻ
ೋ࣍ܗࣜ P(x1 , x2 , x3 ) = x2 1
+ x2 2 + x2 3 Q(y1 , y2 ) = 2y2 1 + 2y1 y2 + 2y2 2 P(x1 , x2 , x3 ) = (y1 + y2 )2 + y2 1 + y2 2 = 2y2 1 + 2y1 y2 + 2y2 2
ೋ࣍ܗࣜ ͋Δೋ࣍ܗࣜQ ͕ɺଞͷೋ࣍ܗࣜP ͔Βม มͰදݱͰ͖Δ͔ʁmมͷP ͕nมͷ Q Λදݱ͢Δ͔ʁ ہॴେҬݪཧʢϋοηݪཧʣ p
ਐQp ͷൣғͱ࣮RͷൣғͰߟ͑Δɻ શͯͷp ٴͼRͰදݱͰ͖Ε༗ཧͷൣғ ͰදݱͰ͖Δ͔ʁ
ೋ࣍ܗࣜ ΤϨϯόʔά-ϰΣϯΧςγϡ Q ͕nมͷ࣌ɺશͯͷہॴతʹදݱՄೳͳ n − 7มҎԼͷೋ࣍ܗࣜQ′ Λදݱ͢Δɻ ূ໌ʹΤϧΰʔυཧɺྗֶܥΛ͏
ϦχοΫ༧ ੪࣍ଟ߲ࣜQ ʹର͠ɺQ(x) = d ͳΔx ͷू ߹ɻd ͰׂͬͯɺQ(x) =
1Ͱͷd → ∞Ͱͷ ͷ༷ࢠɻ Q(x) = x2 1 + x2 2 + · · · + x2 n Λߟ͑Δͱɺٿ໘্ ͷ༗ཧͷɻ ܈ͷ࡞༻͕͋Δ߹Λߟ͑ΔɻௐղੳͱΤ ϧΰʔυཧΛ͏ɻ
ΠσΞϧྨ܈ͷ ΠσΞϧྨ܈ͱʁͰͷૉҼղͷҰ ҙੑ 6 = 2 × 3 10 =
2 × 5 √ −5Λ͚Ճ͑Δͱ่ΕΔ 6 = 2 × 3 = (1 + √ −5)(1 − √ −5)
ΠσΞϧྨ܈ͷ ͜Εͷ่Ε۩߹ΛଌΔͷ͕ΠσΞϧྨ܈ɻ༗ ݶΞʔϕϧ܈ʹͳΔɻ ▶ Qͷ߹ɺΠσΞϧྨ܈1 ▶ Q( √ −5)ͷ߹ɺΠσΞϧྨ܈{±1}
ΠσΞϧྨ܈ͷ ৭ʑͳମQ(a)Λಈ͔ͨ͠ͱ͖ɺΠσΞ ϧྨ܈ʹͲͷΑ͏ͳ܈͕ݱΕΔ͔ʁ ίʔΤϯɺϨϯετϥͷΠσΞϧྨ܈ͷ ʹ͍ͭͯͷ؍ͱ༧ɻ
ΠσΞϧྨ܈ͷ ΤϨϯόʔά-ϰΣϯΧςγϡ-Σε λʔϥϯυ ίʔΤϯɺϨϯετϥ༧ͷؔମྨࣅΛূ ໌ͨ͠ɻ ؔମFp (x, a)༗ݶମ্ͷۂઢͷ༗ཧ ؔશͯूΊͨͷɻ͜Εಉ༷ʹΠσΞϧ ྨ܈ΛఆٛͰ͖Δɻ
ϑϧϏοπۭؒͷϗϞϩδʔ҆ఆੑΛͬͯ
ہॴରশۭؒ ϥϯάϥϯζରԠʹؔɻ ςΠϥʔɺϫΠϧζͷΨϩΞදݱͷߏΛࢤ ଜଟ༷ମ͕͑ͳ͍έʔεʹݚڀɻ ہॴରশۭؒͷίϗϞϩδʔΛදݱɺτϙ ϩδʔʹΑΓௐΔɻ