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Let T be a measurable transformation of a probability space $(E,\mathcal {E},\pi)$, preserving the measure {\pi}. Let X be a random variable with law \pi. Call K(\cdot, \cdot) a regular version of the conditional law of X given T(X). Fix . We first prove that if B is reachable from \pi-almost every point for a Markov chain of kernel K, then the T-orbit of \pi-almost every point X visits B. We then apply this result to the L'evy transform, which transforms the Brownian motion W into the Brownian motion |W|

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