Generalized Transportation Cost Spaces

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Abstract

The paper is devoted to the geometry of transportation cost spaces and their generalizations introduced by Melleray et al. (Fundam Math 199(2):177-194, 2008). Transportation cost spaces are also known as Arens-Eells, Lipschitz-free, or Wasserstein 1 spaces. In this work, the existence of metric spaces with the following properties is proved: (1) uniformly discrete metric spaces such that transportation cost spaces on them do not contain isometric copies of l(1), this result answers a question raised by Cuth and Johanis (Proc Am Math Soc 145(8):3409-3421, 2017); (2) locally finite metric spaces which admit isometric embeddings only into Banach spaces containing isometric copies of l(1); (3) metric spaces for which the double-point norm is not a norm. In addition, it is proved that the double-point norm spaces corresponding to trees are close to l(infinity)(d) of the corresponding dimension, and that for all finite metric spaces M, except a very special class, the infimum of all seminorms for which the embedding of M into the corresponding seminormed space is isometric, is not a seminorm.

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Keywords

Arens-Eells space, Banach space, distortion of a bilipschitz embedding, Earth mover distance, Kantorovich-Rubinstein distance, Lipschitz-free space, locally finite metric space, transportation cost, Wasserstein distance, Kantorovich–Rubinstein Distance, Arens–Eells Space, Mathematics - Functional Analysis, Mathematics - Metric Geometry, FOS: Mathematics, Metric Geometry (math.MG), Functional Analysis (math.FA), 46B03, 46B04, 46B20, 46B85, 91B32, Banach space, Earth mover distance, locally finite metric space, Lipschitz-free space, Embeddings of discrete metric spaces into Banach spaces; applications in topology and computer science, Kantorovich-Rubinstein distance, distortion of a bilipschitz embedding, Metric spaces, metrizability, Isometric theory of Banach spaces, Arens-Eells space, Wasserstein distance, transportation cost

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0101 mathematics, 01 natural sciences

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9

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16

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6

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14

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15

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