Stochastic integral representation of martingales has been undergoing a ren
aissance due to questions motivated by stochastic finance theory. In the Br
ownian case one usually has formulas (of differing degrees of exactness) fo
r the predictable integrands. We extend some of these to Markov cases where
one does not necessarily have stochastic integral representation of all ma
rtingales. Moreover we study various convergence questions that arise natur
ally from (for example) approximations of "price processes" via Euler schem
es for solutions of stochastic differential equations. We obtain general re
sults of the following type: let U, U-n be random variables with decomposit
ions
U = alpha + integral (infinity)(0) xi (s) dX(s) +N-infinity,
U-n = alpha (n) + integral (infinity)(0) xi (n)(s) dX(s)(n) + N-infinity(n)
,
where X, N, X-n, N-n are martingales. If X-n --> X and U-n --> U, when and
how does xi (n) --> xi?