Tensor Product Spaces

Tensor Product Spaces is a mathematical construction in functional analysis that extends the notion of Cartesian products of vector spaces to enable the systematic combination of Hilbert spaces, preserving their inner product structure through a bilinear mapping uniquely characterized by the universal property of tensor products.

1.9K

Publications

88.7K

Citations

2.6K

Authors

1.1K

Institutions

Publications per year

2017–2026

211

Authors

2.6K

  1. YH
    Yi-Zhi Huang

    Rutgers, The State University of New Jersey, United States

    15 publications · 970 citations

    14

    h-index

  2. JL
    James Lepowsky

    Rutgers, The State University of New Jersey, United States

    12 publications · 942 citations

    11

    h-index

  3. AV
    Alexander Varchenko

    University of North Carolina at Chapel Hill, United States

    13 publications · 609 citations

    11

    h-index

  4. PB
    Péter Bárányi

    Hungarian Academy of Sciences, Hungary

    11 publications · 469 citations

    10

    h-index

  5. WH
    Wolfgang Hackbusch

    Max Planck Institute for Mathematics in the Sciences, Germany

    9 publications · 890 citations

    9

    h-index

1–5 of 2.6K

Venues

  1. Pacific Journal of Mathematics

    59 publications · 2.6K citations

    31

    h-index

  2. Journal of Functional Analysis

    52 publications · 3K citations

    29

    h-index

  3. Transactions of the American Mathematical Society

    TRAN · 59 publications · 2.4K citations

    28

    h-index

  4. Journal of Mathematical Physics

    64 publications · 2.8K citations

    27

    h-index

  5. Linear Algebra and its Applications

    39 publications · 2.1K citations

    24

    h-index

1–5