Skip to main content

Abstract

A novel method of approximating functions of two or more variables given a finite number of coefficients of their power series expansions is explained. The method — partial differential approximation — is effective in representing the characteristic singularities to be expected in functions of two or more variables (typically those arising in multicritical thermodynamic behavior). Consequently, it should prove useful in a range of scientific and engineering contexts. Various questions arising in the systematic theoretical study and practical testing and application of the method are posed. The results of initial theoretical and numerical studies indicate the promise of the approach.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Bibliography

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1977 Plenum Press, New York

About this chapter

Cite this chapter

Fisher, M.E. (1977). Series Expansion Approximants for Singular Functions of Many Variables. In: Landman, U. (eds) Statistical Mechanics and Statistical Methods in Theory and Application. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-4166-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-4166-6_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-4168-0

  • Online ISBN: 978-1-4613-4166-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics