Skip to main content

The viscosity solutions approach to stochastic control problems

  • Chapter
  • First Online:
Continuous-time Stochastic Control and Optimization with Financial Applications

Part of the book series: Stochastic Modelling and Applied Probability ((SMAP,volume 61))

Abstract

As outlined in the previous chapter, the dynamic programming method is a powerful tool to study stochastic control problems by means of the Hamilton-Jacobi-Bellman equation. However, in the classical approach, the method is used only when it is assumed a priori that the value function is smooth enough. This is not necessarily true even in very simple cases.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 79.99
Price excludes VAT (USA)
  • Durable hardcover 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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Huyên Pham .

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Pham, H. (2009). The viscosity solutions approach to stochastic control problems. In: Continuous-time Stochastic Control and Optimization with Financial Applications. Stochastic Modelling and Applied Probability, vol 61. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89500-8_4

Download citation

Publish with us

Policies and ethics