A tree-free approach to regularity structures: The regular case for quasi-linear equations

We give a motivation and gentle introduction into the regularity structure and model introduced by Otto, Sauer, Smith and Weber, which fall into the framework of Hairer, but have a greedier index set than the one given by trees. We do this here for a simple quasi-linear parabolic equation and assume that the driving noise is so regular that no renormalization is needed. We introduce the abstract model space $\mathsf{T}$ and its grading, the pre-model $\mathbf{\Pi }$, the centered model ${\mathrm{\Pi }}_x$, the structure group $\mathsf{G}$, and the re-centering transformations ${\mathrm{\Gamma }}_{xy}$. Using integration and reconstruction, we establish the desired estimates on ${\mathrm{\Pi }}_x$ and ${\mathrm{\Gamma }}_{xy}$, which here are deterministic since we deal with the regular case.