Interpolation Inequalities

Interpolation Inequalities is a type of mathematical inequality in probability theory that characterizes the bounding of intermediate functional norms or moments between two distinct spaces or distributions by a weighted combination of corresponding bounds in those spaces, distinguished by its use of interpolation techniques to derive probabilistic or analytic estimates under varying regularity or integrability conditions.

316

Publications

17.3K

Citations

446

Authors

294

Institutions

Publications per year

2017–2026

41

Authors

446

  1. JD
    Jean Dolbeault

    Université Paris Dauphine-PSL, France

    14 publications · 385 citations

    13

    h-index

  2. MJ
    Maria J. Esteban

    Université Paris Dauphine-PSL, France

    6 publications · 177 citations

    6

    h-index

  3. LB
    Len Bos

    University of Calgary, Canada

    5 publications · 237 citations

    5

    h-index

  4. SD
    Stefano De Marchı

    University of Padua, Italy

    5 publications · 181 citations

    5

    h-index

  5. ML
    Michael Loss

    Georgia Institute of Technology, United States

    5 publications · 142 citations

    5

    h-index

1–5 of 446

Venues

  1. Journal of Approximation Theory

    19 publications · 456 citations

    13

    h-index

  2. Proceedings of the American Mathematical Society

    PROC · 13 publications · 982 citations

    11

    h-index

  3. Journal of Functional Analysis

    12 publications · 327 citations

    11

    h-index

  4. Transactions of the American Mathematical Society

    TRAN · 9 publications · 741 citations

    9

    h-index

  5. Pacific Journal of Mathematics

    8 publications · 487 citations

    8

    h-index

1–5