Stochastic Recursive Zero-Sum Differential Game and Mixed Zero-Sum Differential Game Problem

Joint Authors

Wei, Lifeng
Wu, Zhen

Source

Mathematical Problems in Engineering

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-12-25

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Civil Engineering

Abstract EN

Under the notable Issacs's condition on the Hamiltonian, the existence results of a saddle point are obtained for the stochastic recursive zero-sum differential game and mixed differential game problem, that is, the agents can also decide the optimal stopping time.

The main tools are backward stochastic differential equations (BSDEs) and double-barrier reflected BSDEs.

As the motivation and application background, when loan interest rate is higher than the deposit one, the American game option pricing problem can be formulated to stochastic recursive mixed zero-sum differential game problem.

One example with explicit optimal solution of the saddle point is also given to illustrate the theoretical results.

American Psychological Association (APA)

Wei, Lifeng& Wu, Zhen. 2012. Stochastic Recursive Zero-Sum Differential Game and Mixed Zero-Sum Differential Game Problem. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-1001860

Modern Language Association (MLA)

Wei, Lifeng& Wu, Zhen. Stochastic Recursive Zero-Sum Differential Game and Mixed Zero-Sum Differential Game Problem. Mathematical Problems in Engineering No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-1001860

American Medical Association (AMA)

Wei, Lifeng& Wu, Zhen. Stochastic Recursive Zero-Sum Differential Game and Mixed Zero-Sum Differential Game Problem. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-1001860

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1001860