Backward stochastic differential equations under super linear G-expectation and associated Hamilton-Jacobi-Bellman equations

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

21 pages

Scientific paper

This paper first studies super linear G-expectation. Uniqueness and existence theorem for backward stochastic differential equations (BSDEs) under super linear expectation is established to provide probabilistic interpretation for the viscosity solution of a class of Hamilton-Jacobi-Bellman equations, including the well known Black-Scholes-Barrenblett equation, arising in the uncertainty volatility model in mathematical finance. We also show that BSDEs under super linear expectation could characterize a class of stochastic control problems. A direct connection between recursive super (sub) strategies with mutually singular probability measures and classical stochastic control problems is provided. By this result we give representation for solutions of Black-Scholes-Barrenblett equations and G-heat equations.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Backward stochastic differential equations under super linear G-expectation and associated Hamilton-Jacobi-Bellman equations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Backward stochastic differential equations under super linear G-expectation and associated Hamilton-Jacobi-Bellman equations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Backward stochastic differential equations under super linear G-expectation and associated Hamilton-Jacobi-Bellman equations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-298035

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.