Composition operators between Toeplitz kernels
Yuxia Liang, Jonathan R. Partington
TL;DR
This work determines the minimal Toeplitz kernel that contains the image of a Toeplitz kernel under a composition operator with an inner symbol, proving it is $\ker T_{(F\circ\psi)\psi/z}$ and describing how maximal vectors transform under composition. It then extends the analysis to weighted composition operators, establishing explicit minimal kernels for images like $C_\psi(u\ker T_F)$ and $uC_\psi(\ker T_F)$ with symbols $\psi(F\circ\psi)\overline{u}/(z u_o)$, and provides criteria when such images coincide with the minimal kernel. The results also connect to model spaces, giving a concise proof of known containment theorems and showing how maximal vectors are transferred through composition, inner/outer factorizations, and multipliers. Finally, the paper characterizes maximal vectors for kernels with symbols formed via composition, offering explicit constructions for model spaces and highlighting that sums of Toeplitz kernels can fail to be nearly $S^*$-invariant. These contributions deepen the understanding of Toeplitz kernels under composition and weighted composition operators, with implications for near-invariance and model-space theory.
Abstract
Recently, it was shown that the image of a Toeplitz kernel of dimension greater than $1$ under composition by an inner function is nearly $S^*$-invariant if and only if the inner function is an automorphism. Building on this, we determine the minimal Toeplitz kernel containing the image of a Toeplitz kernel under a composition operator with a general inner symbol, and extend this to weighted composition operators. Specifically, the corresponding cases for minimal model spaces are also given, thereby extending known work on the action of composition operators on model spaces. Finally, we use the equivalences between Toeplitz kernels to derive the explicit maximal vectors for several Toeplitz kernels, with symbols expressed in terms of composition operators and inner functions.
