Generic Generators
Grigor Sargsyan
TL;DR
The paper introduces a novel framework to tackle Hod Pair Capturing (HPC) by defining generic generators for hod pair (and pure extender) constructions and by formulating two principles, ${\sf{Direct\ Limit\ Independence\ Hypothesis}}$ ($\text{DLIH}$) and ${\sf{Bounded\ Direct\ Limits}}$ (${\sf{BDL}}$), to control how powersets behave across generic iterations. It develops the machinery of fully backgrounded $K^c$-constructions, amenable linear iterations, and derived-model techniques to produce and analyze generic generators, aiming to transfer set-theoretic complexity between frameworks while preserving determinacy structures. Key contributions include formalizing $pe$- and $hp$-generic generators, establishing comparison principles for amenable iterations, and outlining a program to obtain Woodin cardinals that are limits of Woodin cardinals, and eventually superstrong cardinals, via $L[\vec{E}]$- and backgrounded constructions. The work sketches conjectural routes (e.g., LEC, CWLD) to deduce HPC from inner-model inductions and supports its program with detailed structural analyses of powerset computation in the generic-generator regime. Overall, it integrates core model induction with hod-mouse techniques to propose a concrete path toward resolving HPC under robust large-cardinal hypotheses.
Abstract
The goal of this paper is to present an approach to Hod Pair Capturing (HPC). $HPC$ is the most outstanding open problem of descriptive inner model theory. More specifically, we introduce two principles, the Direct Limit Independence and the Bounded Direct Limits, and show that they together imply HPC.
