The Power-Set of Ω 1 and the Continuum Problem
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Calibrating Determinacy Strength in Levels of the Borel Hierarchy
CALIBRATING DETERMINACY STRENGTH IN LEVELS OF THE BOREL HIERARCHY SHERWOOD J. HACHTMAN Abstract. We analyze the set-theoretic strength of determinacy for levels of the Borel 0 hierarchy of the form Σ1+α+3, for α < !1. Well-known results of H. Friedman and D.A. Martin have shown this determinacy to require α+1 iterations of the Power Set Axiom, but we ask what additional ambient set theory is strictly necessary. To this end, we isolate a family of Π1-reflection principles, Π1-RAPα, whose consistency strength corresponds 0 CK exactly to that of Σ1+α+3-Determinacy, for α < !1 . This yields a characterization of the levels of L by or at which winning strategies in these games must be constructed. When α = 0, we have the following concise result: the least θ so that all winning strategies 0 in Σ4 games belong to Lθ+1 is the least so that Lθ j= \P(!) exists + all wellfounded trees are ranked". x1. Introduction. Given a set A ⊆ !! of sequences of natural numbers, consider a game, G(A), where two players, I and II, take turns picking elements of a sequence hx0; x1; x2;::: i of naturals. Player I wins the game if the sequence obtained belongs to A; otherwise, II wins. For a collection Γ of subsets of !!, Γ determinacy, which we abbreviate Γ-DET, is the statement that for every A 2 Γ, one of the players has a winning strategy in G(A). It is a much-studied phenomenon that Γ -DET has mathematical strength: the bigger the pointclass Γ, the stronger the theory required to prove Γ -DET. -
A Proof of Cantor's Theorem
Cantor’s Theorem Joe Roussos 1 Preliminary ideas Two sets have the same number of elements (are equinumerous, or have the same cardinality) iff there is a bijection between the two sets. Mappings: A mapping, or function, is a rule that associates elements of one set with elements of another set. We write this f : X ! Y , f is called the function/mapping, the set X is called the domain, and Y is called the codomain. We specify what the rule is by writing f(x) = y or f : x 7! y. e.g. X = f1; 2; 3g;Y = f2; 4; 6g, the map f(x) = 2x associates each element x 2 X with the element in Y that is double it. A bijection is a mapping that is injective and surjective.1 • Injective (one-to-one): A function is injective if it takes each element of the do- main onto at most one element of the codomain. It never maps more than one element in the domain onto the same element in the codomain. Formally, if f is a function between set X and set Y , then f is injective iff 8a; b 2 X; f(a) = f(b) ! a = b • Surjective (onto): A function is surjective if it maps something onto every element of the codomain. It can map more than one thing onto the same element in the codomain, but it needs to hit everything in the codomain. Formally, if f is a function between set X and set Y , then f is surjective iff 8y 2 Y; 9x 2 X; f(x) = y Figure 1: Injective map. -
1 Elementary Set Theory
1 Elementary Set Theory Notation: fg enclose a set. f1; 2; 3g = f3; 2; 2; 1; 3g because a set is not defined by order or multiplicity. f0; 2; 4;:::g = fxjx is an even natural numberg because two ways of writing a set are equivalent. ; is the empty set. x 2 A denotes x is an element of A. N = f0; 1; 2;:::g are the natural numbers. Z = f:::; −2; −1; 0; 1; 2;:::g are the integers. m Q = f n jm; n 2 Z and n 6= 0g are the rational numbers. R are the real numbers. Axiom 1.1. Axiom of Extensionality Let A; B be sets. If (8x)x 2 A iff x 2 B then A = B. Definition 1.1 (Subset). Let A; B be sets. Then A is a subset of B, written A ⊆ B iff (8x) if x 2 A then x 2 B. Theorem 1.1. If A ⊆ B and B ⊆ A then A = B. Proof. Let x be arbitrary. Because A ⊆ B if x 2 A then x 2 B Because B ⊆ A if x 2 B then x 2 A Hence, x 2 A iff x 2 B, thus A = B. Definition 1.2 (Union). Let A; B be sets. The Union A [ B of A and B is defined by x 2 A [ B if x 2 A or x 2 B. Theorem 1.2. A [ (B [ C) = (A [ B) [ C Proof. Let x be arbitrary. x 2 A [ (B [ C) iff x 2 A or x 2 B [ C iff x 2 A or (x 2 B or x 2 C) iff x 2 A or x 2 B or x 2 C iff (x 2 A or x 2 B) or x 2 C iff x 2 A [ B or x 2 C iff x 2 (A [ B) [ C Definition 1.3 (Intersection). -
The Matroid Theorem We First Review Our Definitions: a Subset System Is A
CMPSCI611: The Matroid Theorem Lecture 5 We first review our definitions: A subset system is a set E together with a set of subsets of E, called I, such that I is closed under inclusion. This means that if X ⊆ Y and Y ∈ I, then X ∈ I. The optimization problem for a subset system (E, I) has as input a positive weight for each element of E. Its output is a set X ∈ I such that X has at least as much total weight as any other set in I. A subset system is a matroid if it satisfies the exchange property: If i and i0 are sets in I and i has fewer elements than i0, then there exists an element e ∈ i0 \ i such that i ∪ {e} ∈ I. 1 The Generic Greedy Algorithm Given any finite subset system (E, I), we find a set in I as follows: • Set X to ∅. • Sort the elements of E by weight, heaviest first. • For each element of E in this order, add it to X iff the result is in I. • Return X. Today we prove: Theorem: For any subset system (E, I), the greedy al- gorithm solves the optimization problem for (E, I) if and only if (E, I) is a matroid. 2 Theorem: For any subset system (E, I), the greedy al- gorithm solves the optimization problem for (E, I) if and only if (E, I) is a matroid. Proof: We will show first that if (E, I) is a matroid, then the greedy algorithm is correct. Assume that (E, I) satisfies the exchange property. -
Forcing Axioms and Stationary Sets
ADVANCES IN MATHEMATICS 94, 256284 (1992) Forcing Axioms and Stationary Sets BOBAN VELICKOVI~ Department of Mathematics, University of California, Evans Hall, Berkeley, California 94720 INTRODUCTION Recall that a partial ordering 9 is called semi-proper iff for every suf- ficiently large regular cardinal 0 and every countable elementary submodel N of H,, where G9 is the canonical name for a Y-generic filter. The above q is called (9, N)-semi-generic. The Semi-Proper Forcing Axiom (SPFA) is the following statement: For every semi-proper 9 and every family 9 of Et, dense subsets of 9 there exists a filter G in 9 such that for every DE 9, GnD#@. SPFA+ states that if in addition a Y-name 3 for a stationary subset of wi is given, then a filter G can be found such that val,(S)= {c(<wi: 3p~Gp I~-EE$) is stationary. In general, if X is any class of posets, the forcing axioms XFA and XFA + are obtained by replacing “semi-proper LY” by “9 E X” in the above definitions. Sometimes we denote these axioms by FA(X) and FA+(.X). Thus, for example, FA(ccc) is the familiar Martin’s Axiom, MAN,. The notion of semi-proper, as an extension of a previous notion of proper, was defined and extensively studied by Shelah in [Shl J. These forcing notions generalize ccc and countably closed forcing and can be iterated without collapsing N, . SPFA is implicit in [Shl] as an obvious strengthening of the Proper Forcing Axiom (PFA), previously formulated and proved consistent by Baumgartner (see [Bal, Del]). -
Certain Ideals Related to the Strong Measure Zero Ideal
数理解析研究所講究録 第 1595 巻 2008 年 37-46 37 Certain ideals related to the strong measure zero ideal 大阪府立大学理学系研究科 大須賀昇 (Noboru Osuga) Graduate school of Science, Osaka Prefecture University 1 Motivation and Basic Definition In 1919, Borel[l] introduced the new class of Lebesgue measure zero sets called strong measure zero sets today. The family of all strong measure zero sets become $\sigma$-ideal and is called the strong measure zero ideal. The four cardinal invariants (the additivity, covering number, uniformity and cofinal- ity) related to the strong measure zero ideal have been studied. In 2002, Yorioka[2] obtained the results about the cofinality of the strong measure zero ideal. In the process, he introduced the ideal $\mathcal{I}_{f}$ for each strictly increas- ing function $f$ on $\omega$ . The ideal $\mathcal{I}_{f}$ relates to the structure of the real line. We are interested in how the cardinal invariants of the ideal $\mathcal{I}_{f}$ behave. $Ma\dot{i}$ly, we te interested in the cardinal invariants of the ideals $\mathcal{I}_{f}$ . In this paper, we deal the consistency problems about the relationship between the cardi- nal invariants of the ideals $\mathcal{I}_{f}$ and the minimam and supremum of cardinal invariants of the ideals $\mathcal{I}_{g}$ for all $g$ . We explain some notation which we use in this paper. Our notation is quite standard. And we refer the reader to [3] and [4] for undefined notation. For sets X and $Y$, we denote by $xY$ the set of all functions $homX$ to Y. -
On Disjoint Stationary Sets in Topological Spaces
International Journal of Scientific and Innovative Mathematical Research (IJSIMR) Volume 7, Issue 9, 2019, PP 1-2 ISSN No. (Online) 2454-9444 DOI: http://dx.doi.org/10.20431/2347-3142.0709001 www.arcjournals.org On Disjoint Stationary Sets in Topological Spaces Pralahad Mahagaonkar* Department of Mathematics, Ballari Institute of Technology and Management, Ballari *Corresponding Author: Pralahad Mahagaonkar, Department of Mathematics, Ballari Institute of Technology and Management, Ballari Abstract : In this paper we study some new techniques from set theory to general topology and its applications , here we study some the partition relations ,cardinal functions and its principals and some more theorems . Further we develop the combinatory of stationary sets we have aimed at person with some knowledge of topology and a little knowledge of set theory. Keywords: Stationary sets ,homeomorphic, topologicalspaces, Bairespaces. 1. INTRODUCTION Here we will discuss some interesting subsets of ω1 – sets, Borel subsets, stationary and bi-stationary subsets of ω1 – and some theorems . In addition, we will mention some topological applications of stationary sets . Let us know that ω1 is an uncountable well-ordered set with the special property that if α < ω1, then the initial segment [0, α) of ω1 is countable, and that the countable union of countable sets is countable. Like any linearly ordered set, ω1 has an open interval topology. Le us consider that α is a limit point of the space ω1. 2. MAIN RESULTS Theorem 1.1 : A Borel subset of B(k) which is not in LW( k) is a homeomrphic to B(k). Definition : B(k) is the Baire zero dimensional space of weight k, is a function from k with the given d( f , g) 2n ,where n is the least of f / n g / n. -
Useful Relations in Permutations and Combination 1. Useful Relations
Useful Relations in Permutations and Combination 1. Useful Relations - Factorial n! = n.(n-1)! 2. n퐶푟= n푃푟/r! n n-1 3. Pr = n( Pr-1) 4. Useful Relations - Combinations n n 1. Cr = C(n - r) Example 8 8 C6 = C2 = 8×72×1 = 28 n 2. Cn = 1 n 3. C0 = 1 n n n n n 4. C0 + C1 + C2 + ... + Cn = 2 Example 4 4 4 4 4 4 C0 + C1 + C2 + C3+ C4 = (1 + 4 + 6 + 4 + 1) = 16 = 2 n n (n+1) Cr-1 + Cr = Cr (Pascal's Law) n퐶푟 =n/퐶푟−1=n-r+1/r n n If Cx = Cy then either x = y or (n-x) = y. 5. Selection from identical objects: Some Basic Facts The number of selections of r objects out of n identical objects is 1. Total number of selections of zero or more objects from n identical objects is n+1. 6. Permutations of Objects when All Objects are Not Distinct The number of ways in which n things can be arranged taking them all at a time, when st nd 푃1 of the things are exactly alike of 1 type, 푃2 of them are exactly alike of a 2 type, and th 푃푟of them are exactly alike of r type and the rest of all are distinct is n!/ 푃1! 푃2! ... 푃푟! 1 Example: how many ways can you arrange the letters in the word THESE? 5!/2!=120/2=60 Example: how many ways can you arrange the letters in the word REFERENCE? 9!/2!.4!=362880/2*24=7560 7.Circular Permutations: Case 1: when clockwise and anticlockwise arrangements are different Number of circular permutations (arrangements) of n different things is (n-1)! 1. -
COVERING PROPERTIES of IDEALS 1. Introduction We Will Discuss The
COVERING PROPERTIES OF IDEALS MAREK BALCERZAK, BARNABAS´ FARKAS, AND SZYMON GLA¸B Abstract. M. Elekes proved that any infinite-fold cover of a σ-finite measure space by a sequence of measurable sets has a subsequence with the same property such that the set of indices of this subsequence has density zero. Applying this theorem he gave a new proof for the random-indestructibility of the density zero ideal. He asked about other variants of this theorem concerning I-almost everywhere infinite-fold covers of Polish spaces where I is a σ-ideal on the space and the set of indices of the required subsequence should be in a fixed ideal J on !. We introduce the notion of the J-covering property of a pair (A;I) where A is a σ- algebra on a set X and I ⊆ P(X) is an ideal. We present some counterexamples, discuss the category case and the Fubini product of the null ideal N and the meager ideal M. We investigate connections between this property and forcing-indestructibility of ideals. We show that the family of all Borel ideals J on ! such that M has the J- covering property consists exactly of non weak Q-ideals. We also study the existence of smallest elements, with respect to Katˇetov-Blass order, in the family of those ideals J on ! such that N or M has the J-covering property. Furthermore, we prove a general result about the cases when the covering property \strongly" fails. 1. Introduction We will discuss the following result due to Elekes [8]. -
Surviving Set Theory: a Pedagogical Game and Cooperative Learning Approach to Undergraduate Post-Tonal Music Theory
Surviving Set Theory: A Pedagogical Game and Cooperative Learning Approach to Undergraduate Post-Tonal Music Theory DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Angela N. Ripley, M.M. Graduate Program in Music The Ohio State University 2015 Dissertation Committee: David Clampitt, Advisor Anna Gawboy Johanna Devaney Copyright by Angela N. Ripley 2015 Abstract Undergraduate music students often experience a high learning curve when they first encounter pitch-class set theory, an analytical system very different from those they have studied previously. Students sometimes find the abstractions of integer notation and the mathematical orientation of set theory foreign or even frightening (Kleppinger 2010), and the dissonance of the atonal repertoire studied often engenders their resistance (Root 2010). Pedagogical games can help mitigate student resistance and trepidation. Table games like Bingo (Gillespie 2000) and Poker (Gingerich 1991) have been adapted to suit college-level classes in music theory. Familiar television shows provide another source of pedagogical games; for example, Berry (2008; 2015) adapts the show Survivor to frame a unit on theory fundamentals. However, none of these pedagogical games engage pitch- class set theory during a multi-week unit of study. In my dissertation, I adapt the show Survivor to frame a four-week unit on pitch- class set theory (introducing topics ranging from pitch-class sets to twelve-tone rows) during a sophomore-level theory course. As on the show, students of different achievement levels work together in small groups, or “tribes,” to complete worksheets called “challenges”; however, in an important modification to the structure of the show, no students are voted out of their tribes. -
Power Sets Math 12, Veritas Prep
Power Sets Math 12, Veritas Prep. The power set P (X) of a set X is the set of all subsets of X. Defined formally, P (X) = fK j K ⊆ Xg (i.e., the set of all K such that K is a subset of X). Let me give an example. Suppose it's Thursday night, and I want to go to a movie. And suppose that I know that each of the upper-campus Latin teachers|Sullivan, Joyner, and Pagani|are free that night. So I consider asking one of them if they want to join me. Conceivably, then: • I could go to the movie by myself (i.e., I could bring along none of the Latin faculty) • I could go to the movie with Sullivan • I could go to the movie with Joyner • I could go to the movie with Pagani • I could go to the movie with Sullivan and Joyner • I could go to the movie with Sullivan and Pagani • I could go to the movie with Pagani and Joyner • or I could go to the movie with all three of them Put differently, my choices for whom to go to the movie with make up the following set: fg; fSullivang; fJoynerg; fPaganig; fSullivan, Joynerg; fSullivan, Paganig; fPagani, Joynerg; fSullivan, Joyner, Paganig Or if I use my notation for the empty set: ;; fSullivang; fJoynerg; fPaganig; fSullivan, Joynerg; fSullivan, Paganig; fPagani, Joynerg; fSullivan, Joyner, Paganig This set|the set of whom I might bring to the movie|is the power set of the set of Latin faculty. It is the set of all the possible subsets of the set of Latin faculty. -
Product Specifications and Ordering Information CMS 2019 R2 Condition Monitoring Software
Product specifications and ordering information CMS 2019 R2 Condition Monitoring Software Overview SETPOINT® CMS Condition Monitoring Software provides a powerful, flexible, and comprehensive solution for collection, storage, and visualization of vibration and condition data from VIBROCONTROL 8000 (VC-8000) Machinery Protection System (MPS) racks, allowing trending, diagnostics, and predictive maintenance of monitored machinery. The software can be implemented in three different configurations: 1. CMSPI (PI System) This implementation streams data continuously from all VC-8000 racks into a connected PI Server infrastructure. It consumes on average 12-15 PI tags per connected vibration transducer (refer to 3. manual S1176125). Customers can use their CMSHD/SD (Hard Drive) This implementation is used existing PI ecosystem, or for those without PI, a when a network is not available stand-alone PI server can be deployed as a self- between VC-8000 racks and a contained condition monitoring solution. server, and the embedded flight It provides the most functionality (see Tables 1 recorder in each VC-8000 rack and 2) of the three possible configurations by will be used instead. The flight recorder is a offering full integration with process data, solid-state hard drive local to each VC-8000 rack integrated aero/thermal performance monitoring, that can store anywhere from 1 – 12 months of integrated decision support functionality, nested data*. The data is identical to that which would machine train diagrams and nearly unlimited be streamed to an external server, but remains in visualization capabilities via PI Vision or PI the VC-8000 rack until manually retrieved via ProcessBook, and all of the power of the OSIsoft removable SDHC card media, or by connecting a PI System and its ecosystem of complementary laptop to the rack’s Ethernet CMS port and technologies.