IDEAS home Printed from https://ideas.repec.org/a/rsk/journ0/7934361.html
   My bibliography  Save this article

Stability and convergence of Galerkin schemes for parabolic equations with application to Kolmogorov pricing equations in time-inhomogeneous Lévy models

Author

Listed:
  • Maximillian Gaß
  • Kathrin Glau

Abstract

Two essential quantities for the analysis of approximation schemes of evolution equations are stability and convergence. We derive stability and convergence of fully discrete approximation schemes of solutions to linear parabolic evolution equations governed by time-dependent coercive operators. We consider abstract Galerkin approximations in space combined with θ-schemes in time. The level of generality of our analysis comprises both a large class of time-dependent operators and a large choice of approximating Galerkin spaces. In particular, the results apply to partial integrodifferential equations for option pricing in time-inhomogeneous Lévy models and allow for a large variety of option types and models. The derivation builds on the strong foundation laid out in a 2003 paper by von Petersdorff and Schwab, which provides the respective results for the time-homogeneous case. We discuss the assumptions in the context of option pricing.

Suggested Citation

Handle: RePEc:rsk:journ0:7934361
as

Download full text from publisher

File URL: https://www.risk.net/system/files/digital_asset/2022-03/Stability_and_convergence_of_Galerkin_schemes_final.pdf
Download Restriction: no
---><---

More about this item

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rsk:journ0:7934361. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thomas Paine (email available below). General contact details of provider: https://www.risk.net/journal-of-computational-finance .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.