SearcharxivSearch

arXiv · 1012.2212

Guessing models and generalized Laver diamond

Abstract

We analyze the notion of guessing model, a way to assign combinatorial properties to arbitrary regular cardinals. Guessing models can be used, in combination with inaccessibility, to characterize various large cardinals axioms, ranging from supercompactness to rank-to-rank embeddings. The majority of these large cardinals properties can be defined in terms of suitable elementary embeddings j\colon V_\gamma \to V_\lambda. One key observation is that such embeddings are uniquely determined by the image structures j [ V_\gamma ]\prec V_\lambda. These structures will be the prototypes guessing models. We shall show, using guessing models M, how to prove for the ordinal \kappa_M=j_M (\crit(j_M)) (where \pi_M is the transitive collapse of M and j_M is its inverse) many of the combinatorial properties that we can prove for the cardinal j(\crit(j)) using the structure j[V_\gamma]\prec V_{j(\gamma)}. \kappa_M will always be a regular cardinal, but consistently can be a successor. Guessing models M with \kappa_M=\aleph_2 exist assuming the proper forcing axiom PFA. By means of these models we shall introduce a new structural property of models of PFA: the existence of a "Laver function" f : \aleph_2 \to H_{\aleph_2} sharing the same features of the usual Laver functions f :\kappa\to H_\kappa provided by a supercompact cardinal \kappa. Further applications of our analysis will be proofs of the singular cardinal hypothesis and of the failure of the square principle assuming the existence of guessing models. In particular the failure of square shows that the existence of guessing models is a very strong assumption in terms of large cardinal strength.

Explore related subjects

Keep this discovery

BibTeXRIS

Matteo Viale. 2010-12-10. Guessing models and generalized Laver diamond. https://arxiv.org/abs/1012.2212

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

There is no maximal $K$-degree

The Kolmogorov complexity of a string characterize how complex it is to describe the string. If every prefix of a real $x$ is more complex to describe than every prefix (of the same length) of real $y$, then it is seen as $x$ is more complex to describe than $y$. It is wondered if there is a real $x$ so that no other reals are strictly more complex (to describe) than $x$. The behavior of Kolmogorov complexity functions generated by reals (namely $n\mapsto$ the minimal description length of the real) is quite chaos. Therefore, it is widely believed that there are many reals that are maximally complex to describe. For instance, it is conjectured that all random enough reals have maximal $K$-degree. In this paper, it is shown that there is no real with maximal $K$-degree. Actually, for almost all real $x$, we can uniformly computably find another real whose $K$-degree is strictly above $x$.

math.LO

Quadruples and cubes

We prove, in $\mathsf{ZFC}$, that the $\lambda$-terraced cube relation fails whenever $\lambda$ is an uncountable cardinal. The corresponding terraced relation for quadruples fails for every $\lambda$. If $\lambda$ is $\aleph_0$ then the pretinent terraced relation has consistency strength of at least one Woodin cardinal. We prove positive polarized relations at a successor and a double successor from wondrous ideals. We show, however, that there are no such ideals over two consecutive cardinals simultaneously.

math.LO

Possibilistic Logic over a Logic of Formal Inconsistency

In this article, we have introduced a new possibilistic logic on a logic of formal inconsistency with the aim of developing a possibility theoretic framework to deal with uncertainty and inconsistency meaningfully without leading to a system collapse. We have discussed the syntax and semantics for this logic and have proved the soundness and completeness theorems. A set of new measures of consistency, contradictoriness, and triviality of a set of formulas have been defined. These have then been put to use in an example to show that this framework can provide better means of machine reasoning.

math.LO