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9 - Conclusion

Published online by Cambridge University Press:  23 November 2009

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Summary

In conclusion, we see that proving whether particular exponential diophantine equations have finitely or infinitely many solutions, is absolutely intractable (Theorem D). Such questions escape the power of mathematical reasoning. This is a region in which mathematical truth has no discernible structure or pattern and appears to be completely random. These questions are completely beyond the power of human reasoning. Mathematics cannot deal with them.

Nonlinear dynamics [FORD (1983) and JENSEN (1987)] and quantum mechanics have shown that there is randomness in nature. I believe that we have demonstrated in this book that randomness is already present in pure mathematics, in fact, even in rather elementary branches of number theory. This doesn't mean that the universe and mathematics are lawless, it means that sometimes laws of a different kind apply: statistical laws.

More generally, this tends to support what TYMOCZKO (1986) has called a “quasi-empirical” approach to the foundations of mathematics. To quote from CHAITIN (1982b), where I have argued this case at length, “Perhaps number theory should be pursued more openly in the spirit of experimental science!” To prove more, one must sometimes assume more.

I would like to end with a few speculations on the deep problem of the origin of biological complexity, the question of why living organisms are so complicated, and in what sense we can understand them. I.e., how do biological “laws” compare with the laws of physics?

We have seen that Ω is about as random, patternless, unpredictable and incomprehensible as possible; the pattern of its bit sequence defies understanding.

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Publisher: Cambridge University Press
Print publication year: 1987

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  • Conclusion
  • Gregory. J. Chaitin
  • Book: Algorithmic Information Theory
  • Online publication: 23 November 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511608858.013
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  • Conclusion
  • Gregory. J. Chaitin
  • Book: Algorithmic Information Theory
  • Online publication: 23 November 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511608858.013
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Conclusion
  • Gregory. J. Chaitin
  • Book: Algorithmic Information Theory
  • Online publication: 23 November 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511608858.013
Available formats
×