It has been shown (see (Staiger, 2008)), that there are strongly \textsc{Martin-L\"of}-$\varepsilon$-random $\omega$-words that behave in terms of complexity like random $\omega$-words. That is, in particular, the \emph{a priori} complexity of these $\varepsilon$-random $\omega$-words is bounded from below and above by linear functions with the same slope $\varepsilon$. In this paper we will study the set of these $\omega$-words in terms of \textsc{Hausdorff} measure and dimension. Additionally we find upper bounds on \emph{a priori} complexity, monotone and simple complexity for a certain class of $\omega$-power languages.
@InProceedings{mielke_et_al:OASIcs.CCA.2009.2269, author = {Mielke, J\"{o}ran and Staiger, Ludwig}, title = {{On Oscillation-free epsilon-random Sequences II}}, booktitle = {6th International Conference on Computability and Complexity in Analysis (CCA'09)}, pages = {173--184}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-939897-12-5}, ISSN = {2190-6807}, year = {2009}, volume = {11}, editor = {Bauer, Andrej and Hertling, Peter and Ko, Ker-I}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CCA.2009.2269}, URN = {urn:nbn:de:0030-drops-22698}, doi = {10.4230/OASIcs.CCA.2009.2269}, annote = {Keywords: Omega-words, partial randomness, a priori complexity, monotone complexity} }
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