Computability of Julia Sets
Among all computer-generated mathematical images, Julia sets of rational maps occupy one of the most prominent positions. Their beauty and complexity can be fascinating. They also hold a deep mathematical content. Computational hardness of Julia sets is the main subject of this book. By definition,...
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oai:112.137.131.14:VNU_123-301962020-06-29T03:07:38Z Computability of Julia Sets Braverman, Mark Yampolsky, Michael Mathematics Statistics 514.7420285 Among all computer-generated mathematical images, Julia sets of rational maps occupy one of the most prominent positions. Their beauty and complexity can be fascinating. They also hold a deep mathematical content. Computational hardness of Julia sets is the main subject of this book. By definition, a computable set in the plane can be visualized on a computer screen with an arbitrarily high magnification. There are countless programs to draw Julia sets. Yet, as the authors have discovered, it is possible to constructively produce examples of quadratic polynomials, whose Julia sets are not computable. This result is striking - it says that while a dynamical system can be described numerically with an arbitrary precision, the picture of the dynamics cannot be visualized. The book summarizes the present knowledge about the computational properties of Julia sets in a self-contained way. It is accessible to experts and students with interest in theoretical computer science or dynamical systems. 2017-04-18T01:04:09Z 2017-04-18T01:04:09Z 2009 Book 978-3-540-68546-3 http://repository.vnu.edu.vn/handle/VNU_123/30196 en 158 p. application/pdf Springer |
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Mathematics Statistics 514.7420285 |
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Mathematics Statistics 514.7420285 Braverman, Mark Yampolsky, Michael Computability of Julia Sets |
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Among all computer-generated mathematical images, Julia sets of rational maps occupy one of the most prominent positions. Their beauty and complexity can be fascinating. They also hold a deep mathematical content.
Computational hardness of Julia sets is the main subject of this book. By definition, a computable set in the plane can be visualized on a computer screen with an arbitrarily high magnification. There are countless programs to draw Julia sets. Yet, as the authors have discovered, it is possible to constructively produce examples of quadratic polynomials, whose Julia sets are not computable. This result is striking - it says that while a dynamical system can be described numerically with an arbitrary precision, the picture of the dynamics cannot be visualized.
The book summarizes the present knowledge about the computational properties of Julia sets in a self-contained way. It is accessible to experts and students with interest in theoretical computer science or dynamical systems. |
format |
Book |
author |
Braverman, Mark Yampolsky, Michael |
author_facet |
Braverman, Mark Yampolsky, Michael |
author_sort |
Braverman, Mark |
title |
Computability of Julia Sets |
title_short |
Computability of Julia Sets |
title_full |
Computability of Julia Sets |
title_fullStr |
Computability of Julia Sets |
title_full_unstemmed |
Computability of Julia Sets |
title_sort |
computability of julia sets |
publisher |
Springer |
publishDate |
2017 |
url |
http://repository.vnu.edu.vn/handle/VNU_123/30196 |
_version_ |
1680965316417421312 |