Skip to main content
Log in

Using Chebyshev Polynomials to Approximate Partial Differential Equations: A Reply

  • Published:
Computational Economics Aims and scope Submit manuscript

Abstract

Caporale and Cerrato (Comput Econ 35(3):235–244, 2010) propose a simple method based on Chebyshev approximation and Chebyshev nodes to approximate partial differential equations (PDEs). However, they suggest not to use Chebyshev nodes when dealing with optimal stopping problems. Here, we use the same optimal stopping example to show that Chebyshev polynomials and Chebyshev nodes can still be successfully used together if we solve the model in a matrix environment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Caporale G. M., Cerrato M. (2010) Using Chebyshev polynomials to approximate partial differential equations. Computational Economics 35(3): 235–244

    Article  Google Scholar 

  • Dangl T., Wirl F. (2004) Investment under uncertainty: Calculating the value function when the Bellman equation cannot be solved analytically. Journal of Economic Dynamics and Control 28(7): 1437–1460

    Article  Google Scholar 

  • Deuflhard P., Bornemann F. (2002) Scientific computing with ordinary differential equations. Springer, Heidelberg

    Google Scholar 

  • Dixit A., Pindyck R. S. (1994) Investment under uncertainty. Princeton University Press, Princeton

    Google Scholar 

  • He H., Pindyck R. S. (1992) Investments in flexible production capacity. Journal of Economic Dynamics and Control, Elsevier 16(3–4): 575–599

    Article  Google Scholar 

  • Judd K. L. (1992) Projection methods for solving aggregate growth models. Journal of Economic Theory 58: 410–452

    Article  Google Scholar 

  • Judd K. L. (1998) Numerical methods in economics. Massachusetts Institute of Technology Press, Amherst

    Google Scholar 

  • Majd S., Pindyck R. S. (1987) Time to build, option value, and investment decisions. Journal of Financial Economics, Elsevier 18(1): 7–27

    Article  Google Scholar 

  • Sezer M., Kaynak M. (1996) Chebyshev polynomial solutions of linear differential equations. International Journal of Mathematical Education in Science and Technology 27(4): 607–618

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alejandro Mosiño.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mosiño, A. Using Chebyshev Polynomials to Approximate Partial Differential Equations: A Reply. Comput Econ 39, 13–27 (2012). https://doi.org/10.1007/s10614-010-9222-2

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10614-010-9222-2

Keywords

JEL Classification

Navigation