2 research outputs found
Anticipative backward stochastic differential equations driven by fractional Brownian motion
We study the anticipative backward stochastic differential equations (BSDEs,
for short) driven by fractional Brownian motion with Hurst parameter H greater
than 1/2. The stochastic integral used throughout the paper is the divergence
operator type integral. We obtain the existence and uniqueness of solutions to
these equations. A comparison theorem for this type of anticipative BSDEs is
also established.Comment: 13 pages, Statistics and Probability Letters (2016
Forward integration, convergence and nonadapted pointwise multipliers
In this paper we study the forward integral of operator-valued processes with
respect to a cylindrical Brownian motion. In particular, we provide conditions
under which the approximating sequence of processes of the forward integral,
converges to the stochastic integral process with respect to Sobolev norms of
smoothness alpha < 1/2. This result will be used to derive a new integration by
parts formula for the forward integral.Comment: Minor revision. Accepted for publication in Infin. Dimens. Anal.
Quantum Probab. Relat. To