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3 - Derivatives

Published online by Cambridge University Press:  30 August 2023

Alex Gezerlis
Affiliation:
University of Guelph, Ontario
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Summary

Chapter 3 starts out with a physics motivation, as well as a mathematical statement of the problem that will be tackled in later sections. After a brief discussion of analytical differentiation, the bulk of the chapter is devoted to increasingly better finite-difference approximations, like the forward difference and the central difference. These are explicitly derived using Taylor expansions, and also applied to second derivatives and to points on a grid. A section introduces the useful tool of Richardson extrapolation, which reappears in later chapters. The chapter also includes an original discussion of automatic differentiation, which is built up from the concept of dual numbers. The chapter is rounded out by a physics project, which studies the kinetic energy in single-particle quantum mechanics, and a problem set. The physics project involves different wave functions and provides the groundwork for the project in the integrals chapter.

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Publisher: Cambridge University Press
Print publication year: 2023

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  • Derivatives
  • Alex Gezerlis, University of Guelph, Ontario
  • Book: Numerical Methods in Physics with Python
  • Online publication: 30 August 2023
  • Chapter DOI: https://doi.org/10.1017/9781009303897.004
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  • Derivatives
  • Alex Gezerlis, University of Guelph, Ontario
  • Book: Numerical Methods in Physics with Python
  • Online publication: 30 August 2023
  • Chapter DOI: https://doi.org/10.1017/9781009303897.004
Available formats
×

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.

  • Derivatives
  • Alex Gezerlis, University of Guelph, Ontario
  • Book: Numerical Methods in Physics with Python
  • Online publication: 30 August 2023
  • Chapter DOI: https://doi.org/10.1017/9781009303897.004
Available formats
×