“…This was one of the motivations for the nonsmooth K L-inequalities developed in [8,9]. Due to its considerable impact on several fields of applied mathematics: minimization and algorithms [1,5,8,39], asymptotic theory of differential inclusions [48], neural networks [28], complexity theory [47] (see [47,Definition 3], where functions satisfying a K L-type inequality are called gradient dominated functions), and partial differential equations [51,35,30,31], we hereby tackle the problem of characterizing such inequalities in a nonsmooth infinite-dimensional setting and provide further clarifications for several application aspects. Our framework is rather broad (infinite dimensions, nonsmooth functions); nevertheless, to the best of our knowledge, most of the present results are also new in a smooth finite-dimensional framework: readers who feel unfamiliar with notions of nonsmooth and variational analysis may, as a first stage, consider that all functions involved are differentiable, replace subdifferentials by usual derivatives and subgradient systems by smooth ones.…”