Core Model Induction

Core Model Induction is a method in set theory that systematically constructs canonical inner models of large cardinal axioms by iteratively analyzing the structure of definable sets and their condensation properties to determine the existence and fine structure of core models below and at the level of a given large cardinal.

23

Publications

1.1K

Citations

51

Authors

23

Institutions

Publications per year

2017–2026

3

Authors

51

  1. JR
    John R. Steel

    University of California, Los Angeles, United States

    3 publications · 66 citations

    3

    h-index

  2. RS
    Ralf Schindler

    University of Münster, Germany

    2 publications · 41 citations

    2

    h-index

  3. GS
    Grigor Sargsyan

    Rutgers, The State University of New Jersey, United States

    2 publications · 26 citations

    2

    h-index

  4. YK
    Yoshiei Kato

    Okayama University, Japan

    1 publications · 41 citations

    1

    h-index

  5. ÖY
    Özlem Yılmaz

    Eskişehir City Hospital, Türkiye

    1 publications · 22 citations

    1

    h-index

1–5 of 51

Venues

  1. Journal of Symbolic Logic

    3 publications · 69 citations

    3

    h-index

  2. Annals of Pure and Applied Logic

    3 publications · 135 citations

    3

    h-index

  3. Journal of Mathematical Logic

    1 publications · 15 citations

    1

    h-index

  4. IEEE Transactions on Power Delivery

    1 publications · 41 citations

    1

    h-index

  5. Formal Methods in System Design

    1 publications · 27 citations

    1

    h-index

1–5