We are interested in modeling some two-level population dynamics, resulting from the interplay of ecological interactions and phenotypic variation of individuals (or hosts) and the evolution of cells (or parasites) of two types living in these individuals. The ecological parameters of the individual dynamics depend on the number of cells of each type contained by the individual and the cell dynamics depends on the trait of the invaded individual. Our models are rooted in the microscopic description of a random (discrete) population of individuals characterized by one or several adaptive traits and cells characterized by their type. The population is modeled as a stochastic point process whose generator captures the probabilistic dynamics over continuous time of birth, mutation and death for individuals and birth and death for cells. The interaction between individuals (resp. between cells) is described by a competition between individual traits (resp. between cell types). We look for tractable large population approximations. By combining various scalings on population size, birth and death rates and mutation step, the single microscopic model is shown to lead to contrasting nonlinear macroscopic limits of different nature: deterministic approximations, in the form of ordinary, integro- or partial differential equations, or probabilistic ones, like stochastic partial differential equations or superprocesses. The study of the long time behavior of these processes seems very hard and we only develop some simple cases enlightening the difficulties involved.

Cette thèse porte sur divers aspects de lois et de processus non-gaussiens qui partagent des propriétés de changement d'échelle où intervient l'exposant 2/3. Les deux principaux objets probabilistes que nous allons présenter sont : 1) La loi de Tracy-Widom : C'est la loi limite de la plus grande valeur propre de matrices aléatoires appartenant aux beta-ensembles lorsque leur dimension tend vers l'infini. Dans un travail en commun avec Balint Virag, nous avons établi le comportement asymptotique de la queue droite de cette loi pour tout beta strictement positif, en utilisant des outils d'analyse de diffusions du type Girsanov. 2) Le ''vrai'' processus auto-répulsif (''true self repelling motion'') TSRM : C'est un processus auto-interagissant qui a été introduit par Balint Toth et Wendelin Werner. Nous nous sommes intéressés à des propriétés de cet objet liées à ses trajectoires (grandes déviations, lois du logarithme itéré) et à des calculs explicites de lois marginales (travail en collaboration avec Balint Toth). Cette étude nous a aussi amenés à aborder des questions liées à la théorie des jeux. / This thesis focuses on various aspects of non-Gaussian distributions and processes sharing scaling properties where the exponent 2/3 appears. The two probabilistic objects that we will introduce are: 1) Tracy-Widom distribution: This is the large dimensional limit of the top eigenvalue of random matrices in beta-ensembles. In a joint work with Balint Virag, we studied the asymptotic behavior of its right tail for all positive beta, using tools coming from diffusion analysis, such as the Girsanov formula. 2) The “true self repelling motion” (TSRM): This is a self-interacting process which was introduced by Balint Toth and Wendelin Werner. We have been interested in properties related to trajectories of this motion (large deviations, law of the iterated logarithm) and explicit distribution computations (joint work with Balint Toth). During this study, we have also dealt with questions related to game theory.