Distribution-Dependent Stochastic Differential Delay Equations in finite and infinite dimensions

Abstract: We prove that distribution dependent (also called McKean--Vlasov) stochastic delay equations of the form \begin{equation*} \mathrm{d}X(t)= b(t,X_t,\mathcal{L}{X_t})\mathrm{d}t+ \sigma(t,X_t,\mathcal{L}{X_t})\mathrm{d}W(t) \end{equation*} have unique (strong) solutions in finite as well as infinite dimensional state spaces if the coefficients fulfill certain monotonicity assumptions.