pith:UCL4CFON
Metric mean dimension of factor maps
Factor maps with infinite weighted topological entropy are characterized using three types of weighted metric mean dimensions that relate to those of the factor and extension systems.
arxiv:2605.17473 v1 · 2026-05-17 · math.DS
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Claims
We introduce three types of weighted metric mean dimensions to characterize factor maps with infinite weighted topological entropy, and compare them with the metric mean dimensions of the factor system and the extension system. Furthermore, we establish variational principles for weighted metric mean dimension. We introduce relative conditional metric mean dimension for factor maps with infinite relative topological conditional entropy, and prove that it coincides with relative metric mean dimension. In the context of random dynamical systems, we introduce random average metric mean dimension and use it to establish a topological Abramov-Rokhlin formula.
The underlying dynamical systems possess infinite weighted topological entropy or infinite relative topological conditional entropy, allowing the new weighted and relative dimensions to be meaningfully defined and compared without reducing to standard finite-entropy cases.
Introduces weighted metric mean dimensions and relative conditional metric mean dimension for factor maps with infinite entropy, proves variational principles and a topological Abramov-Rokhlin formula for random systems.
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Receipt and verification
| First computed | 2026-05-20T00:04:40.832806Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a097c115cdb3fbb2c0acce755cadb19fe3eaa19ace2f56441e532921857f1c85
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/UCL4CFONWP53FQFMZZ2VZLNRT7 \
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Canonical record JSON
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