Minkowski Inequality

The Minkowski Inequality is a fundamental inequality in mathematical analysis and probability theory that establishes an upper bound on the norm of the sum of two random variables in terms of the sums of their individual norms, generalizing the triangle inequality to Lp spaces for p ≥ 1.

285

Publications

14.2K

Citations

415

Authors

264

Institutions

Publications per year

2017–2026

77

Variants

Minkowski's Inequality

Authors

415

  1. AC
    Andrea Colesanti

    University of Florence, Italy

    9 publications · 478 citations

    9

    h-index

  2. GL
    Gangsong Leng

    Shanghai University, China

    7 publications · 333 citations

    7

    h-index

  3. EL
    Erwin Lutwak

    SUNY Polytechnic Institute, United States

    7 publications · 990 citations

    7

    h-index

  4. EM
    Emanuel Milman

    Technion – Israel Institute of Technology, Israel

    6 publications · 192 citations

    6

    h-index

  5. RJ
    Richard J. Gardner

    Western Washington University, United States

    6 publications · 1.2K citations

    6

    h-index

1–5 of 415

Venues

  1. Advances in Mathematics

    18 publications · 1K citations

    16

    h-index

  2. Transactions of the American Mathematical Society

    TRAN · 13 publications · 627 citations

    12

    h-index

  3. Geometriae Dedicata

    9 publications · 258 citations

    10

    h-index

  4. arXiv (Cornell University)

    Repository · 10 publications · 280 citations

    10

    h-index

  5. Journal of Inequalities and Applications

    9 publications · 301 citations

    9

    h-index

1–5