A squared Bessel process of dimension is a nonnegative continuous solution of the displayed stochastic differential equation. It extends the squared radial part of integer-dimensional Brownian motion to arbitrary nonnegative dimensions. Before hitting zero its square root solves . At dimension zero, a process started at zero remains there. The coefficients are not Lipschitz at zero, so positivity or uniqueness must not be justified by a global Lipschitz theorem.
For independently driven nonnegative squared Bessel processes , put . Where , use Brownian weights and . Where , fill the weights with . Their squared norm is always one and their cross-variation is zero, so their stochastic integral is Brownian motion by the Lévy characterization of Brownian motion. Multiplying by recovers the sum's martingale part even at zero, and the drifts add to .
Articles by others on the same topic
There are currently no matching articles.