Skip to main content

Counting Sieve

  • Chapter
Extremal Combinatorics

Part of the book series: Texts in Theoretical Computer Science. An EATCS Series ((TTCS))

  • 371 Accesses

Abstract

The probabilistic method is most striking when it is applied to prove theorems whose statement does not seem to suggest the need for probability at all. It is therefore surprising what results may be obtained from such simple principles like the counting sieve:

The probability of a disjunction of events is at most the sum of the probabilities of the events, Prob (∪ A i ) ⩽ Σ Prob (A i ).

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 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Jukna, S. (2001). Counting Sieve. In: Extremal Combinatorics. Texts in Theoretical Computer Science. An EATCS Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04650-0_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-04650-0_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-08559-8

  • Online ISBN: 978-3-662-04650-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics