Complexity of deep computations via topology of function spaces

Fuente: arXiv
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Main Authors: Dueñez, Eduardo, Iovino, José, Matos-Wiederhold, Tonatiuh, Salvetti, Luciano, Tall, Franklin D.
Format: Preprint
Published: 2026
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_version_ 1866910025322070016
author Dueñez, Eduardo
Iovino, José
Matos-Wiederhold, Tonatiuh
Salvetti, Luciano
Tall, Franklin D.
author_facet Dueñez, Eduardo
Iovino, José
Matos-Wiederhold, Tonatiuh
Salvetti, Luciano
Tall, Franklin D.
contents We use topological methods to study complexity of deep computations and limit computations. We use topology of function spaces, specifically, the classification Rosenthal compacta, to identify new complexity classes. We use the language of model theory, specifically, the concept of \emph{independence} from Shelah's classification theory, to translate between topology and computation. We use the theory of Rosenthal compacta to characterize approximablility of deep computations, both deterministically and probabilistically.
format Preprint
id arxiv_https___arxiv_org_abs_2601_00528
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Complexity of deep computations via topology of function spaces
Dueñez, Eduardo
Iovino, José
Matos-Wiederhold, Tonatiuh
Salvetti, Luciano
Tall, Franklin D.
Logic
General Topology
54H30, 68T27, 68T07, 03C98, 03D15, 05D10
We use topological methods to study complexity of deep computations and limit computations. We use topology of function spaces, specifically, the classification Rosenthal compacta, to identify new complexity classes. We use the language of model theory, specifically, the concept of \emph{independence} from Shelah's classification theory, to translate between topology and computation. We use the theory of Rosenthal compacta to characterize approximablility of deep computations, both deterministically and probabilistically.
title Complexity of deep computations via topology of function spaces
topic Logic
General Topology
54H30, 68T27, 68T07, 03C98, 03D15, 05D10
url https://arxiv.org/abs/2601.00528