The Constructible Universe and the Relative Consistency of the Axiom of Choice
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Set-Theoretic Geology, the Ultimate Inner Model, and New Axioms
Set-theoretic Geology, the Ultimate Inner Model, and New Axioms Justin William Henry Cavitt (860) 949-5686 [email protected] Advisor: W. Hugh Woodin Harvard University March 20, 2017 Submitted in partial fulfillment of the requirements for the degree of Bachelor of Arts in Mathematics and Philosophy Contents 1 Introduction 2 1.1 Author’s Note . .4 1.2 Acknowledgements . .4 2 The Independence Problem 5 2.1 Gödelian Independence and Consistency Strength . .5 2.2 Forcing and Natural Independence . .7 2.2.1 Basics of Forcing . .8 2.2.2 Forcing Facts . 11 2.2.3 The Space of All Forcing Extensions: The Generic Multiverse 15 2.3 Recap . 16 3 Approaches to New Axioms 17 3.1 Large Cardinals . 17 3.2 Inner Model Theory . 25 3.2.1 Basic Facts . 26 3.2.2 The Constructible Universe . 30 3.2.3 Other Inner Models . 35 3.2.4 Relative Constructibility . 38 3.3 Recap . 39 4 Ultimate L 40 4.1 The Axiom V = Ultimate L ..................... 41 4.2 Central Features of Ultimate L .................... 42 4.3 Further Philosophical Considerations . 47 4.4 Recap . 51 1 5 Set-theoretic Geology 52 5.1 Preliminaries . 52 5.2 The Downward Directed Grounds Hypothesis . 54 5.2.1 Bukovský’s Theorem . 54 5.2.2 The Main Argument . 61 5.3 Main Results . 65 5.4 Recap . 74 6 Conclusion 74 7 Appendix 75 7.1 Notation . 75 7.2 The ZFC Axioms . 76 7.3 The Ordinals . 77 7.4 The Universe of Sets . 77 7.5 Transitive Models and Absoluteness . -
UNIVERSALLY BAIRE SETS and GENERIC ABSOLUTENESS TREVOR M. WILSON Introduction Generic Absoluteness Principles Assert That Certai
UNIVERSALLY BAIRE SETS AND GENERIC ABSOLUTENESS TREVOR M. WILSON Abstract. We prove several equivalences and relative consistency re- 2 uBλ sults involving notions of generic absoluteness beyond Woodin's (Σ1) generic absoluteness for a limit of Woodin cardinals λ. In particular,e we R 2 uBλ prove that two-step 9 (Π1) generic absoluteness below a measur- able cardinal that is a limite of Woodin cardinals has high consistency 2 uBλ strength, and that it is equivalent with the existence of trees for (Π1) formulas. The construction of these trees uses a general method for building an absolute complement for a given tree T assuming many \failures of covering" for the models L(T;Vα) below a measurable car- dinal. Introduction Generic absoluteness principles assert that certain properties of the set- theoretic universe cannot be changed by the method of forcing. Some pro- perties, such as the truth or falsity of the Continuum Hypothesis, can always be changed by forcing. Accordingly, one approach to formulating generic ab- soluteness principles is to consider properties of a limited complexity such 1 1 as those corresponding to pointclasses in descriptive set theory: Σ2, Σ3, projective, and so on. (Another approach is to limit the class ofe allowede forcing notions. For a survey of results in this area, see [1].) Shoenfield’s 1 absoluteness theorem implies that Σ2 statements are always generically ab- solute. Generic absoluteness principlese for larger pointclasses tend to be equiconsistent with strong axioms of infinity, and they may also relate to the extent of the universally Baire sets. 1 For example, one-step Σ3 generic absoluteness is shown in [3] to be equiconsistent with the existencee of a Σ2-reflecting cardinal and to be equiv- 1 alent with the statement that every ∆2 set of reals is universally Baire. -
Objective Assessment of Cerebellar Ataxia: a Comprehensive and Refned Approach Bipasha Kashyap1 ✉ , Dung Phan1, Pubudu N
www.nature.com/scientificreports OPEN Objective Assessment of Cerebellar Ataxia: A Comprehensive and Refned Approach Bipasha Kashyap1 ✉ , Dung Phan1, Pubudu N. Pathirana1, Malcolm Horne2, Laura Power3 & David Szmulewicz2,3,4 Parametric analysis of Cerebellar Ataxia (CA) could be of immense value compared to its subjective clinical assessments. This study focuses on a comprehensive scheme for objective assessment of CA through the instrumented versions of 9 commonly used neurological tests in 5 domains- speech, upper limb, lower limb, gait and balance. Twenty-three individuals diagnosed with CA to varying degrees and eleven age-matched healthy controls were recruited. Wearable inertial sensors and Kinect camera were utilised for data acquisition. Binary and multilabel discrimination power and intra-domain relationships of the features extracted from the sensor measures and the clinical scores were compared using Graph Theory, Centrality Measures, Random Forest binary and multilabel classifcation approaches. An optimal subset of 13 most important Principal Component (PC) features were selected for CA- control classifcation. This classifcation model resulted in an impressive performance accuracy of 97% (F1 score = 95.2%) with Holmesian dimensions distributed as 47.7% Stability, 6.3% Timing, 38.75% Accuracy and 7.24% Rhythmicity. Another optimal subset of 11 PC features demonstrated an F1 score of 84.2% in mapping the total 27 PC across 5 domains during CA multilabel discrimination. In both cases, the balance (Romberg) test contributed the most (31.1% and 42% respectively), followed by the peripheral tests whereas gait (Walking) test contributed the least. These fndings paved the way for a better understanding of the feasibility of an instrumented system to assist informed clinical decision- making. -
The Fourth Paradigm
ABOUT THE FOURTH PARADIGM This book presents the first broad look at the rapidly emerging field of data- THE FOUR intensive science, with the goal of influencing the worldwide scientific and com- puting research communities and inspiring the next generation of scientists. Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. The speed at which any given scientific discipline advances will depend on how well its researchers collaborate with one another, and with technologists, in areas of eScience such as databases, workflow management, visualization, and cloud- computing technologies. This collection of essays expands on the vision of pio- T neering computer scientist Jim Gray for a new, fourth paradigm of discovery based H PARADIGM on data-intensive science and offers insights into how it can be fully realized. “The impact of Jim Gray’s thinking is continuing to get people to think in a new way about how data and software are redefining what it means to do science.” —Bill GaTES “I often tell people working in eScience that they aren’t in this field because they are visionaries or super-intelligent—it’s because they care about science The and they are alive now. It is about technology changing the world, and science taking advantage of it, to do more and do better.” —RhyS FRANCIS, AUSTRALIAN eRESEARCH INFRASTRUCTURE COUNCIL F OURTH “One of the greatest challenges for 21st-century science is how we respond to this new era of data-intensive -
Abstract Counterexample-Based Refinement for Powerset
Abstract Counterexample-based Refinement for Powerset Domains R. Manevich1,†, J. Field2 , T. A. Henzinger3,§, G. Ramalingam4,¶, and M. Sagiv1 1 Tel Aviv University, {rumster,msagiv}@tau.ac.il 2 IBM T.J. Watson Research Center, [email protected] 3 EPFL, [email protected] 4 Microsoft Research India, [email protected] Abstract. Counterexample-guided abstraction refinement (CEGAR) is a powerful technique to scale automatic program analysis techniques to large programs. However, so far it has been used primarily for model checking in the context of predicate abstraction. We formalize CEGAR for general powerset domains. If a spurious abstract counterexample needs to be removed through abstraction refinement, there are often several choices, such as which program location(s) to refine, which ab- stract domain(s) to use at different locations, and which abstract values to compute. We define several plausible preference orderings on abstrac- tion refinements, such as refining as “late” as possible and as “coarse” as possible. We present generic algorithms for finding refinements that are optimal with respect to the different preference orderings. We also compare the different orderings with respect to desirable properties, in- cluding the property if locally optimal refinements compose to a global optimum. Finally, we point out some difficulties with CEGAR for non- powerset domains. 1 Introduction The CEGAR (Counterexample-guided Abstraction Refinement) paradigm [1, 3] has been the subject of a significant body of work in the automatic verification community. The basic idea is as follows. First, we statically analyze a program using a given abstraction. When an error is discovered, the analyzer generates an abstract counterexample, and checks whether the error occurs in the corre- sponding concrete execution path. -
E-RECURSIVE INTUITIONS in Memoriam Professor Joseph R. Shoenfield Contents 1. Initial Intuitions 1 2. E-Recursively Enumerable V
E-RECURSIVE INTUITIONS GERALD E. SACKS In Memoriam Professor Joseph R. Shoenfield Abstract. An informal sketch (with intermittent details) of parts of E-Recursion theory, mostly old, some new, that stresses intu- ition. The lack of effective unbounded search is balanced by the availability of divergence witnesses. A set is E-closed iff it is tran- sitive and closed under the application of partial E-recursive func- tions. Some finite injury, forcing, and model theoretic construc- tions can be adapted to E-closed sets that are not 1 admissible. Reflection plays a central role. Contents 1. Initial Intuitions 1 2. E-Recursively Enumerable Versus 1 4 3. E-Recursion Versus -Recursion 6 4. Selection and Reflection 8 5. Finite Injury Arguments and Post’sProblem 12 6. Forcing: C.C.C. Versus Countably Closed 13 7. Model-Theoretic Completeness and Compactness 14 References 16 1. Initial Intuitions One of the central intuitions of classical recursion theory is the effec- tiveness of unbounded search. Let A be a nonempty recursively enu- merable set of nonnegative integers. A member of A can be selected by simply enumerating A until some member appears. This procedure, known as unbounded search, consists of following instructions until a termination point is reached. What eventually appears is not merely Date: December 10, 2010. My thanks to the organizers of "Effective Mathematics of the Uncountable," CUNY Graduate Center, August 2009, for their kind invitation. 1 E-RECURSIVEINTUITIONS 2 some number n A but a computation that reveals n A. Unbounded search in its full2 glory consists of enumerating all computations2 until a suitable computation, if it exists, is found. -
Microhoo: Lessons from a Takeover Attempt Nihat Aktas, Eric De Bodt
MicroHoo: Lessons from a takeover attempt Nihat Aktas, Eric de Bodt, and Richard Roll This draft: July 14, 2010 ABSTRACT On February 1, 2008, Microsoft offered $43.7 billion for Yahoo. This was a milestone in the Microsoft versus Google battle to control the internet search industry and the related online advertising market. We provide an in-depth analysis of this failed takeover attempt. We attempt to identify the sources of overbidding (signaling, hubris-overconfidence, rational overpayment) and we show that the corporate control market has a disciplinary dimension but of an incidental and latent nature. Our results highlight the existence of takeover anticipation premiums in the stock prices of the potential targets. JEL classification: G34 Keywords: Overbidding; Competitive advantage; Rational overpayment; Latent competition Aktas de Bodt Roll Univ. Lille Nord de EMLYON Business UCLA Anderson France School 110 Westwood Plaza ECCCS Address 23 av. Guy de Collongue Los Angeles, CA 90095- 1 place Déliot - BP381 69130 Ecully 1481 59020 Lille Cédex France USA France Voice +33-4-7833-7847 +33-3-2090-7477 +1-310-825-6118 Fax +33-4-7833-7928 +33-3-2090-7629 +1-310-206-8404 E-mail [email protected] eric.debodt@univ- [email protected] lille2.fr 1 MicroHoo: Lessons from a takeover attempt 1. Introduction Fast Internet access, software as a service, cloud computing, netbooks, mobile platforms, one-line application stores,…, the first decade of the twenty-first century brought all the ingredients of a new technological revolution. These new technologies share one common denominator: the Internet. Two large competitors are face to face. -
Abstract Domain of Boxes
BOXES: Abstract Domain of Boxes Arie Gurfinkel and Sagar Chaki Software Engineering Institute Carnegie Mellon University January 28, 2011 © 2011 Carnegie Mellon University NO WARRANTY THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN “AS-IS" BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. Use of any trademarks in this presentation is not intended in any way to infringe on the rights of the trademark holder. This Presentation may be reproduced in its entirety, without modification, and freely distributed in written or electronic form without requesting formal permission. Permission is required for any other use. Requests for permission should be directed to the Software Engineering Institute at [email protected]. This work was created in the performance of Federal Government Contract Number FA8721-05-C-0003 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center. The Government of the United States has a royalty-free government-purpose license to use, duplicate, or disclose the work, in whole or in part and in any manner, and to have or permit others to do so, for -
An Overview of Hadoop
Hadoop Jon Dehdari Introduction Hadoop Project Distributed Filesystem MapReduce Jobs Hadoop Ecosystem Current Status An Overview of Hadoop Jon Dehdari The Ohio State University Department of Linguistics 1 / 26 Hadoop What is Hadoop? Jon Dehdari Introduction Hadoop is a software framework for scalable distributed Hadoop Project computing Distributed Filesystem MapReduce Jobs Hadoop Ecosystem Current Status 2 / 26 Hadoop MapReduce Jon Dehdari Introduction Hadoop Project Distributed Follows Google's MapReduce framework for distributed Filesystem computing MapReduce Jobs Hadoop Ecosystem Scalable - from one computer to thousands Current Status Fault-tolerant - assumes computers will die Cheap - uses commodity PCs, no special hardware needed More active role in distributed computing than Grid Engine, Torque, PBS, Maui, Moab, etc., which are just schedulers 3 / 26 Hadoop Map & Reduce Jon Dehdari Introduction Based on the functional programming concepts of Hadoop Project higher-order functions: Distributed Filesystem Map MapReduce Jobs FunProg: apply a function to every element in a list, Hadoop Ecosystem return new list Current Status MapRed: apply a function to every row in a file block, return new file block Reduce (Fold) FunProg: recursively apply a function to list, return scalar value MapRed: recursively apply a function to file block, return less-composite value than before 4 / 26 Hadoop Map & Reduce Jon Dehdari Introduction Based on the functional programming concepts of Hadoop Project higher-order functions: Distributed Filesystem Map -
Strong Logics of First and Second Order∗
Strong Logics of First and Second Order∗ Peter Koellner Abstract In this paper we investigate strong logics of first and second order that have certain absoluteness properties. We begin with an investigation of first order logic and the strong logics ω-logic and β-logic, isolating two facets of absoluteness, namely, generic invariance and faithfulness. It turns out that absoluteness is relative in the sense that stronger background assumptions secure greater degrees of absoluteness. Our aim is to investigate the hierarchies of strong logics of first and second order that are generically invariant and faithful against the backdrop of the strongest large cardinal hypotheses. We show that there is a close correspondence between the two hierarchies and we characterize the strongest logic in each hierarchy. On the first-order side, this leads to a new presentation of Woodin’s Ω-logic. On the second-order side, we compare the strongest logic with full second-order logic and argue that the comparison lends support to Quine’s claim that second-order logic is really set theory in sheep’s clothing. This paper is concerned with strong logics of first and second order. At the most abstract level, a strong logic of first-order has the following general form: Let L be a first-order language and let Φ(x) be a formula that defines a class of L-structures. Then, for a recursively enumerable set T of sentences of L, and for a sentence ϕ of L set T |=Φ(x) ϕ iff for all L-structures M such that Φ(M), if M |= T then M |= ϕ. -
Angle Measurement Performance]
SURVEYING INSTRUMENTS SOKKIA SET1000•SET2000 SET3000•SET4000 POWERSET SERIES TOTAL STATIONS Introducing the Version 4.2 POWERSET Series Enjoy the benefits of all the latest technology with standardized SDR software you can upgrade with ease With the integration of corrective hardware sensors, self-collimating soft- ware and the most powerful, easy-to-use field application programming ever, SOKKIA introduces a new era in CAS (Computer Aided Surveying). The POWERSET Series sets a new standard for surveying efficiency: 1 ) an extensive range of surveying software; 2) a large internal memory for high-speed data processing; 3) reliable memory cards for storage of survey data. • Entirely new design features a miniaturized telescope unit that makes sighting as easy as using a theodolite. Thanks to the POWERSET Series' advanced optics, you can use reflective sheet targets and standard glass prisms for greater flexibility in the field. • The dual-axis compensator and collimation program ensure consistently accurate measurements. • The POWERSET Series is designed for maximum ease of use. Large screens on each side of the instrument are easy to read in any field conditions, and the keyboards on both faces feature full alphanumeric keys. • All these advanced functions are packed into an incredibly compact instrument weighing a mere 5.6kg (12.4 lbs.) SET1000/SET2000 Dist. meas. with reflecting prism Range: 3,500m (11,400ft.)* Accuracy: ±(2+2ppmxD)mm** Dist. meas. with reflective sheet target Range: 120m (390ft.)*** Accuracy: ±(4+3ppmxD)mm** Angle measurement Display resolution: 0.5"/0.1 mgon or 1"/0.2mgon Accuracy: SET1000 1"(0.3mgon) SET2000 2"(0.6mgon) SET3000 Dist. -
Forcing? Thomas Jech
WHAT IS... ? Forcing? Thomas Jech What is forcing? Forcing is a remarkably powerful case that there exists no proof of the conjecture technique for the construction of models of set and no proof of its negation. theory. It was invented in 1963 by Paul Cohen1, To make this vague discussion more precise we who used it to prove the independence of the will first elaborate on the concepts of theorem and Continuum Hypothesis. He constructed a model proof. of set theory in which the Continuum Hypothesis What are theorems and proofs? It is a use- (CH) fails, thus showing that CH is not provable ful fact that every mathematical statement can from the axioms of set theory. be expressed in the language of set theory. All What is the Continuum Hypothesis? In 1873 mathematical objects can be regarded as sets, and Georg Cantor proved that the continuum is un- relations between them can be reduced to expres- countable: that there exists no mapping of the set sions that use only the relation ∈. It is not essential N of all integers onto the set R of all real numbers. how it is done, but it can be done: For instance, Since R contains N, we have 2ℵ0 > ℵ , where 2ℵ0 0 integers are certain finite sets, rational numbers and ℵ are the cardinalities of R and N, respec- 0 are pairs of integers, real numbers are identified tively. A question arises whether 2ℵ0 is equal to with Dedekind cuts in the rationals, functions the cardinal ℵ1, the immediate successor of ℵ0.