Skip to main content

Complex Iterative Maps

  • Chapter
  • First Online:
Dynamical Systems with Applications using Python
  • 8178 Accesses

Abstract

  • To introduce simple complex iterative maps.

  • To introduce Julia sets, the Mandelbrot set, and Newton fractals.

  • To carry out some analysis on these sets.

On completion of this chapter, the reader should be able to

  • carry out simple complex iterations;

  • plot Julia sets, the Mandelbrot set, and Newton fractals using simple Python programs;

  • determine boundaries of points with low periods;

  • find basins of attraction (or domains of stability).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Bibliography

  1. R.L. Devaney and L. Keen (eds.), Complex Dynamics: Twenty-five Years After the Appearance of the Mandelbrot Set (Contemporary Mathematics), American Mathematical Society, Providence, RI, 2005.

    Google Scholar 

  2. R.L. Devaney Complex Dynamical Systems: The Mathematics Behind the Mandelbrot and Julia Sets (Proceedings of Symposia in Applied Mathematics), American Mathematical Society, 1995.

    Google Scholar 

  3. P.W. Jones, B. Mandelbrot, C.J.G. Evertsz and M.C. Gutzwiller, Fractals and Chaos: The Mandelbrot Set and Beyond, Springer, 2004.

    Google Scholar 

  4. A. Katunin, A Concise Introduction to Hypercomplex Fractals, CRC Press, Florida, 2017.

    Book  Google Scholar 

  5. A. Kharab and R.B. Guenther, An Introduction to Numerical Methods: A MATLAB Approach, 3rd Ed., CRC Press, Florida, 2011.

    Book  Google Scholar 

  6. B.B. Mandelbrot and R.L. Hudson, The (Mis)Behavior of the Markets: A Fractal View of Risk, Ruin and Reward, Perseus Books Group, New York, 2006.

    MATH  Google Scholar 

  7. H-O. Peitgen (ed.), E.M. Maletsky, H. JĂĽrgens, T. Perciante, D. Saupe, and L. Yunker, Fractals for the Classroom: Strategic Activities Volume 2, Springer-Verlag, New York, 1994.

    Google Scholar 

  8. H-O. Peitgen, H. JĂĽrgens, D. Saupe, and C. Zahlten, Fractals: An Animated Discussion, SpektrumAkademischer Verlag, Heidelberg, 1989; W.H. Freeman, New York, 1990.

    Google Scholar 

  9. T. Rashid, Make Your Own Mandelbrot: A gentle journey through the mathematics of the of the Mandelbrot and Julia fractals, and making your own using the Python computer language, CreateSpace Independent Publishing Platform, 2014.

    Google Scholar 

  10. Root-Finding Fractals, Softology’s Blog, (Jan 20, 2011), web pages last accessed 16th May 2016. https://softologyblog.wordpress.com/2011/01/20/root-finding-fractals.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Lynch, S. (2018). Complex Iterative Maps. In: Dynamical Systems with Applications using Python. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-78145-7_15

Download citation

Publish with us

Policies and ethics