Sampling and interpolation of cumulative distribution functions of Cantor sets in [0, 1]
Cantor sets are constructed from iteratively removing sections of intervals. This process yields a cumulative distribution function (CDF), constructed from the invariant Borel probability measure associated with their iterated function systems. Under appropriate assumptions, we identify sampling sch...
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De Gruyter
2021
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oai:doaj.org-article:2d8a80e751ca4e9283022a78bbeb291b2021-12-05T14:10:45ZSampling and interpolation of cumulative distribution functions of Cantor sets in [0, 1]2391-466110.1515/dema-2021-0010https://doaj.org/article/2d8a80e751ca4e9283022a78bbeb291b2021-05-01T00:00:00Zhttps://doi.org/10.1515/dema-2021-0010https://doaj.org/toc/2391-4661Cantor sets are constructed from iteratively removing sections of intervals. This process yields a cumulative distribution function (CDF), constructed from the invariant Borel probability measure associated with their iterated function systems. Under appropriate assumptions, we identify sampling schemes of such CDFs, meaning that the underlying Cantor set can be reconstructed from sufficiently many samples of its CDF. To this end, we prove that two Cantor sets have almost-nowhere intersection with respect to their corresponding invariant measures.Byars AllisonCamrud EvanHarding Steven N.McCarty SarahSullivan KeithWeber Eric S.De Gruyterarticlefractalcantor setsamplinginterpolationnormal numbers94a2028a8026a3011k1611k55MathematicsQA1-939ENDemonstratio Mathematica, Vol 54, Iss 1, Pp 85-109 (2021) |
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fractal cantor set sampling interpolation normal numbers 94a20 28a80 26a30 11k16 11k55 Mathematics QA1-939 |
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fractal cantor set sampling interpolation normal numbers 94a20 28a80 26a30 11k16 11k55 Mathematics QA1-939 Byars Allison Camrud Evan Harding Steven N. McCarty Sarah Sullivan Keith Weber Eric S. Sampling and interpolation of cumulative distribution functions of Cantor sets in [0, 1] |
description |
Cantor sets are constructed from iteratively removing sections of intervals. This process yields a cumulative distribution function (CDF), constructed from the invariant Borel probability measure associated with their iterated function systems. Under appropriate assumptions, we identify sampling schemes of such CDFs, meaning that the underlying Cantor set can be reconstructed from sufficiently many samples of its CDF. To this end, we prove that two Cantor sets have almost-nowhere intersection with respect to their corresponding invariant measures. |
format |
article |
author |
Byars Allison Camrud Evan Harding Steven N. McCarty Sarah Sullivan Keith Weber Eric S. |
author_facet |
Byars Allison Camrud Evan Harding Steven N. McCarty Sarah Sullivan Keith Weber Eric S. |
author_sort |
Byars Allison |
title |
Sampling and interpolation of cumulative distribution functions of Cantor sets in [0, 1] |
title_short |
Sampling and interpolation of cumulative distribution functions of Cantor sets in [0, 1] |
title_full |
Sampling and interpolation of cumulative distribution functions of Cantor sets in [0, 1] |
title_fullStr |
Sampling and interpolation of cumulative distribution functions of Cantor sets in [0, 1] |
title_full_unstemmed |
Sampling and interpolation of cumulative distribution functions of Cantor sets in [0, 1] |
title_sort |
sampling and interpolation of cumulative distribution functions of cantor sets in [0, 1] |
publisher |
De Gruyter |
publishDate |
2021 |
url |
https://doaj.org/article/2d8a80e751ca4e9283022a78bbeb291b |
work_keys_str_mv |
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