Fractal Dimension versus Process Complexity
We look at small Turing machines (TMs) that work with just two colors (alphabet symbols) and either two or three states. For any particular such machine and any particular input , we consider what we call the space-time diagram which is basically the collection of consecutive tape configurations of...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universidad de Barcelona |
| Repositorio: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/106693 |
| Acceso en línea: | https://hdl.handle.net/2445/106693 |
| Access Level: | acceso abierto |
| Palabra clave: | Lògica matemàtica Filosofia de la matemàtica Fractals Mathematical logic Philosophy of mathematics Turing, Alan Mathison, 1912-1954 |
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Fractal Dimension versus Process ComplexityJoosten, Joost J.Soler-Toscano, FernandoZenil, HectorLògica matemàticaFilosofia de la matemàticaFractalsMathematical logicPhilosophy of mathematicsFractalsTuring, Alan Mathison, 1912-1954We look at small Turing machines (TMs) that work with just two colors (alphabet symbols) and either two or three states. For any particular such machine and any particular input , we consider what we call the space-time diagram which is basically the collection of consecutive tape configurations of the computation . In our setting, it makes sense to define a fractal dimension for a Turing machine as the limiting fractal dimension for the corresponding space-time diagrams. It turns out that there is a very strong relation between the fractal dimension of a Turing machine of the above-specified type and its runtime complexity. In particular, a TM with three states and two colors runs in at most linear time, if and only if its dimension is 2, and its dimension is 1, if and only if it runs in superpolynomial time and it uses polynomial space. If a TM runs in time , we have empirically verified that the corresponding dimension is , a result that we can only partially prove. We find the results presented here remarkable because they relate two completely different complexity measures: the geometrical fractal dimension on one side versus the time complexity of a computation on the other side.Hindawi2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/106693Articles publicats en revistes (Filosofia)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1155/2016/5030593Advances in Mathematical Physics, 2016, p. 1-21https://doi.org/10.1155/2016/5030593cc-by (c) Joosten, Joost J. et al., 2016http://creativecommons.org/licenses/by/3.0/esinfo:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1066932026-05-27T06:46:51Z |
| dc.title.none.fl_str_mv |
Fractal Dimension versus Process Complexity |
| title |
Fractal Dimension versus Process Complexity |
| spellingShingle |
Fractal Dimension versus Process Complexity Joosten, Joost J. Lògica matemàtica Filosofia de la matemàtica Fractals Mathematical logic Philosophy of mathematics Fractals Turing, Alan Mathison, 1912-1954 |
| title_short |
Fractal Dimension versus Process Complexity |
| title_full |
Fractal Dimension versus Process Complexity |
| title_fullStr |
Fractal Dimension versus Process Complexity |
| title_full_unstemmed |
Fractal Dimension versus Process Complexity |
| title_sort |
Fractal Dimension versus Process Complexity |
| dc.creator.none.fl_str_mv |
Joosten, Joost J. Soler-Toscano, Fernando Zenil, Hector |
| author |
Joosten, Joost J. |
| author_facet |
Joosten, Joost J. Soler-Toscano, Fernando Zenil, Hector |
| author_role |
author |
| author2 |
Soler-Toscano, Fernando Zenil, Hector |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Lògica matemàtica Filosofia de la matemàtica Fractals Mathematical logic Philosophy of mathematics Fractals Turing, Alan Mathison, 1912-1954 |
| topic |
Lògica matemàtica Filosofia de la matemàtica Fractals Mathematical logic Philosophy of mathematics Fractals Turing, Alan Mathison, 1912-1954 |
| description |
We look at small Turing machines (TMs) that work with just two colors (alphabet symbols) and either two or three states. For any particular such machine and any particular input , we consider what we call the space-time diagram which is basically the collection of consecutive tape configurations of the computation . In our setting, it makes sense to define a fractal dimension for a Turing machine as the limiting fractal dimension for the corresponding space-time diagrams. It turns out that there is a very strong relation between the fractal dimension of a Turing machine of the above-specified type and its runtime complexity. In particular, a TM with three states and two colors runs in at most linear time, if and only if its dimension is 2, and its dimension is 1, if and only if it runs in superpolynomial time and it uses polynomial space. If a TM runs in time , we have empirically verified that the corresponding dimension is , a result that we can only partially prove. We find the results presented here remarkable because they relate two completely different complexity measures: the geometrical fractal dimension on one side versus the time complexity of a computation on the other side. |
| publishDate |
2016 |
| dc.date.none.fl_str_mv |
2016 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://hdl.handle.net/2445/106693 |
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https://hdl.handle.net/2445/106693 |
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Inglés |
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Inglés |
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Reproducció del document publicat a: https://doi.org/10.1155/2016/5030593 Advances in Mathematical Physics, 2016, p. 1-21 https://doi.org/10.1155/2016/5030593 |
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cc-by (c) Joosten, Joost J. et al., 2016 http://creativecommons.org/licenses/by/3.0/es info:eu-repo/semantics/openAccess |
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cc-by (c) Joosten, Joost J. et al., 2016 http://creativecommons.org/licenses/by/3.0/es |
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openAccess |
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application/pdf |
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Hindawi |
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Hindawi |
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Articles publicats en revistes (Filosofia) reponame:Dipòsit Digital de la UB instname:Universidad de Barcelona |
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Universidad de Barcelona |
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Dipòsit Digital de la UB |
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Dipòsit Digital de la UB |
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