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Singularities in the minimal model program

Research Project

Project/Area Number 16K05099
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Algebra
Research InstitutionKyoto University

Principal Investigator

Kawakita Masayuki  京都大学, 数理解析研究所, 准教授 (10378961)

Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Keywords極小対数的食違い係数 / 昇鎖律 / 標準特異点 / 重み付き爆発 / 代数学 / 代数幾何学
Outline of Final Research Achievements

I proved that the minimal log discrepancy on a smooth surface is computed by the divisor obtained by a weighted blow-up. I solved negatively the question of whether a divisor computing the minimal log discrepancy computes a log canonical threshold, by providing a counter-example on a smooth surface.
I reduced the ascending chain condition (ACC) for minimal log discrepancies on a smooth threefold to the case when the boundary is decomposed into a canonical part and the maximal ideal to some power. Moreover, I proved the boundedness of a divisor computing the minimal log discrepancy when the log canonical threshold of the maximal ideal is either at most one-half or at least one. In particular, I obtained the ACC at minimal log discrepancy one.

Academic Significance and Societal Importance of the Research Achievements

代数多様体とは,連立多項式の共通零点集合として定義される図形です.高次元の代数多様体の分類においては,特異点の制御が欠かせません.私は極小対数的食違い係数と呼ばれる特異点の不変量を研究しました.いったい何がその不変量を決定するのか,よく分かっていませんでしたが,私は2次元の場合に満足のいく結果を得ました.また,極小対数的食違い係数の重要な予想である昇鎖律予想を,なめらかな3次元代数多様体上で考察しました.

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (6 results)

All 2018 2017 2016 Other

All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (4 results) (of which Int'l Joint Research: 4 results,  Invited: 4 results) Remarks (1 results)

  • [Journal Article] Divisors computing the minimal log discrepancy on a smooth surface2017

    • Author(s)
      Masayuki Kawakita
    • Journal Title

      Mathematical Proceedings of the Cambridge Philosophical Society

      Volume: 163 Issue: 1 Pages: 187-192

    • DOI

      10.1017/s0305004116001043

    • Related Report
      2017 Research-status Report 2016 Research-status Report
    • Peer Reviewed
  • [Presentation] Minimal log discrepancies on smooth threefolds2018

    • Author(s)
      Masayuki Kawakita
    • Organizer
      Higher dimensional algebraic geometry
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research / Invited
  • [Presentation] Minimal log discrepancies on smooth threefolds2018

    • Author(s)
      Masayuki Kawakita
    • Organizer
      16th affine algebraic geometry meeting
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research / Invited
  • [Presentation] Divisors computing the minimal log discrepancy2017

    • Author(s)
      Masayuki Kawakita
    • Organizer
      Edge days 2017, Birkar's boundedness and Cremona groups
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research / Invited
  • [Presentation] Divisors computing the minimal log discrepancy2016

    • Author(s)
      Masayuki Kawakita
    • Organizer
      Conference on moduli and birational geometry V
    • Place of Presentation
      Haevichi Resort, S Korea
    • Year and Date
      2016-12-16
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research / Invited
  • [Remarks] Website of Masayuki Kawakita

    • URL

      http://www.kurims.kyoto-u.ac.jp/~masayuki/

    • Related Report
      2018 Annual Research Report 2017 Research-status Report 2016 Research-status Report

URL: 

Published: 2016-04-21   Modified: 2020-03-30  

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