Abstract
This note gives some information about the magical number Ω and why it is of interest. Our purpose is to explain the significance of recent work by Calude and Dinneen attempting to compute Ω. Furthermore, we propose measuring human intellectual progress (not scientific progress) via the number of bits of Ω that can be determined at any given moment in time using the current mathematical theories.
This paper has originally appeared in International Journal of Bifurcation and Chaos 17(6), 1933–1935 (©2007, WSPC). It is reprinted with kind permission of World Scientific Publishing Company.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Calude, C.S., Dinneen, M.J.: Exact approximations of omega numbers. Int. Journal of Bifurcation & Chaos 17(6), 1937–1954 (2007)
Calude, C.S., Calude, E., Dinneen, M.J.: A new measure of the difficulty of problems. Journal of Multiple-Valued Logic and Soft Computing 12, 285–307 (2006)
Chaitin, G.: The limits of reason. Scientific American 294(3), 74–81 (2006)
Chaitin, G.: Meta Math! Pantheon, New York (2005); Meta Maths. Atlantic Books, London (2006)
Chaitin, G.: The halting probability Ω: Irreducible complexity in pure mathematics. Milan Journal of Mathematics 75, 291–304 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Chaitin, G. (2012). How Much Information Can There Be in a Real Number?. In: Dinneen, M.J., Khoussainov, B., Nies, A. (eds) Computation, Physics and Beyond. WTCS 2012. Lecture Notes in Computer Science, vol 7160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27654-5_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-27654-5_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27653-8
Online ISBN: 978-3-642-27654-5
eBook Packages: Computer ScienceComputer Science (R0)