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 .
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