The talk will begin by providing a brief review of entropy,
preimage entropy, and metric mean dimension from both the
measure-theoretic and topological perspectives. Then, we will
introduce the preimage metric mean dimension, which is introduced for
studying systems with infinite preimage entropy. Specifically, we will
prove a partial variational principle and compute the preimage mean
metric dimension for a series of examples. Based on joint work with
Fagner B. Rodrigues.

Possible to be listened to on-site at IM PAN, lecture room 06,
ground floor

Meeting ID: 852 4277 3200
Passcode: 103121