The attainable almost sure large dimensions
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arXiv
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| Natura: | Preprint |
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2026
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| author | Hare, Kathryn E. Mendivil, Franklin |
| author_facet | Hare, Kathryn E. Mendivil, Franklin |
| contents | In this paper we study the range of possible almost sure dimensions of random measures arising from a natural model of random Moran measures. Specifically, we consider the Assouad-like ``large'' $Φ$-dimensions of these measures. These dimensions can be tuned to consider a specific range of depths in scale and so provide refined local geometric information. The quasi-Assouad dimension is a well-known and important example of a ``large'' $Φ$-dimension.
We determine the range of possible almost sure $Φ$-dimensions for random measures generated by the model and supported on any given random Moran set. We do this for both the case when the probability weights depend on the scaling factors and the case when they do not. In the later situation, we show that usually there is a ``gap'' between the dimension of the set and that of the smallest attainable upper dimension and largest attainable lower dimension. As a consequence of our results, we also determine the a.s. dimensions of the underlying random Moran set. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_09899 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The attainable almost sure large dimensions Hare, Kathryn E. Mendivil, Franklin Classical Analysis and ODEs Probability Primary: 28A80, Secondary 28C15, 60G57 In this paper we study the range of possible almost sure dimensions of random measures arising from a natural model of random Moran measures. Specifically, we consider the Assouad-like ``large'' $Φ$-dimensions of these measures. These dimensions can be tuned to consider a specific range of depths in scale and so provide refined local geometric information. The quasi-Assouad dimension is a well-known and important example of a ``large'' $Φ$-dimension. We determine the range of possible almost sure $Φ$-dimensions for random measures generated by the model and supported on any given random Moran set. We do this for both the case when the probability weights depend on the scaling factors and the case when they do not. In the later situation, we show that usually there is a ``gap'' between the dimension of the set and that of the smallest attainable upper dimension and largest attainable lower dimension. As a consequence of our results, we also determine the a.s. dimensions of the underlying random Moran set. |
| title | The attainable almost sure large dimensions |
| topic | Classical Analysis and ODEs Probability Primary: 28A80, Secondary 28C15, 60G57 |
| url | https://arxiv.org/abs/2604.09899 |