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Generalized Solovay Measures, the HOD Analysis, and the Core Model Induction

Abstract

This thesis belongs to the field of descriptive inner model theory. Chapter 1 provides a

proper context for this thesis and gives a brief introduction to the theory of AD+, the theory

of hod mice, and a definition of KJ (R). In Chapter 2, we explore the theory of generalized

Solovay measures. We prove structure theorems concerning canonical models of the theory

AD+ + there is a generalized Solovay measure" and compute the exact consistency strength

of this theory. We also give some applications relating generalized Solovay measures to the

determinacy of a class of long games. In Chapter 3, we give a HOD analysis of AD+ + V =

L(P(R)) models below ADR + Theta is regular." This is an application of the theory of hod

mice developed in G. Sargsyan's thesis. We also analyze HOD of AD+-models of the form V = L(R; mu)

where mu is a generalized Solovay measure. In Chapter 4, we develop techniques for the core

model induction. We use this to prove a characterization of AD+ in models of the form

V = L(R;mu), where mu is a generalized Solovay measure. Using this framework, we also can

construct models of ADR + Theta is regular" from the theory ZF + DC + Theta is regular + omega1 is

P(R)-supercompact". In fact, we succeed in going further, namely we can construct a model

of ADR + Theta is measurable" and show that this is in fact, an equiconsistency.

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