A Chaining Approach to Canonical Processes with Log-Concave Tails

We prove a decomposition theorem for canonical processes generated by independent symmetric random variables with log-concave tails, without the ${\mathrm{\Delta }}_2$ condition. The proof uses the classical chaining method, based on admissible partitions and chopping maps. The argument also recovers the majorizing-measure characterization.