On evaluations and asymptotic approximations of first-passage-time probabilities

The series expansion for the solution of the integral equation for the first-passage-time probability density function, obtained by resorting to the fixed point theorem, is used to achieve approximate evaluations for which error bounds are indicated. A different use of the fixed point theorem is then made to odetermine lower and upper bounds for asymptotic approximations, and to examine their range of validity.