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Lectures on Fractal Geometry and Dynamics
Lectures on fractal geometry and dynamics Michael Hochman∗ March 25, 2012 Contents 1 Introduction 2 2 Preliminaries 3 3 Dimension 3 3.1 A family of examples: Middle-α Cantor sets . 3 3.2 Minkowski dimension . 4 3.3 Hausdorff dimension . 9 4 Using measures to compute dimension 13 4.1 The mass distribution principle . 13 4.2 Billingsley's lemma . 15 4.3 Frostman's lemma . 18 4.4 Product sets . 22 5 Iterated function systems 24 5.1 The Hausdorff metric . 24 5.2 Iterated function systems . 26 5.3 Self-similar sets . 31 5.4 Self-affine sets . 36 6 Geometry of measures 39 6.1 The Besicovitch covering theorem . 39 6.2 Density and differentiation theorems . 45 6.3 Dimension of a measure at a point . 48 6.4 Upper and lower dimension of measures . 50 ∗Send comments to [email protected] 1 6.5 Hausdorff measures and their densities . 52 1 Introduction Fractal geometry and its sibling, geometric measure theory, are branches of analysis which study the structure of \irregular" sets and measures in metric spaces, primarily d R . The distinction between regular and irregular sets is not a precise one but informally, k regular sets might be understood as smooth sub-manifolds of R , or perhaps Lipschitz graphs, or countable unions of the above; whereas irregular sets include just about 1 everything else, from the middle- 3 Cantor set (still highly structured) to arbitrary d Cantor sets (irregular, but topologically the same) to truly arbitrary subsets of R . d For concreteness, let us compare smooth sub-manifolds and Cantor subsets of R . -
Reasoning About Equations Using Equality
Mathematics Instructional Plan – Grade 4 Reasoning About Equations Using Equality Strand: Patterns, Functions, Algebra Topic: Using reasoning to assess the equality in closed and open arithmetic equations Primary SOL: 4.16 The student will recognize and demonstrate the meaning of equality in an equation. Related SOL: 4.4a Materials: Partners Explore Equality and Equations activity sheet (attached) Vocabulary equal symbol (=), equality, equation, expression, not equal symbol (≠), number sentence, open number sentence, reasoning Student/Teacher Actions: What should students be doing? What should teachers be doing? 1. Activate students’ prior knowledge about the equal sign. Formally assess what students already know and what misconceptions they have. Ask students to open their notebooks to a clean sheet of paper and draw lines to divide the sheet into thirds as shown below. Create a poster of the same graphic organizer for the room. This activity should take no more than 10 minutes; it is not a teaching opportunity but simply a data- collection activity. Equality and the Equal Sign (=) I know that- I wonder if- I learned that- 1 1 1 a. Let students know they will be creating a graphic organizer about equality and the equal sign; that is, what it means and how it is used. The organizer is to help them keep track of what they know, what they wonder, and what they learn. The “I know that” column is where they can write things they are pretty sure are correct. The “I wonder if” column is where they can write things they have questions about and also where they can put things they think may be true but they are not sure. -
Algebraic Structure of Genetic Inheritance 109
BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 34, Number 2, April 1997, Pages 107{130 S 0273-0979(97)00712-X ALGEBRAIC STRUCTURE OF GENETIC INHERITANCE MARY LYNN REED Abstract. In this paper we will explore the nonassociative algebraic struc- ture that naturally occurs as genetic information gets passed down through the generations. While modern understanding of genetic inheritance initiated with the theories of Charles Darwin, it was the Augustinian monk Gregor Mendel who began to uncover the mathematical nature of the subject. In fact, the symbolism Mendel used to describe his first results (e.g., see his 1866 pa- per Experiments in Plant-Hybridization [30]) is quite algebraically suggestive. Seventy four years later, I.M.H. Etherington introduced the formal language of abstract algebra to the study of genetics in his series of seminal papers [9], [10], [11]. In this paper we will discuss the concepts of genetics that suggest the underlying algebraic structure of inheritance, and we will give a brief overview of the algebras which arise in genetics and some of their basic properties and relationships. With the popularity of biologically motivated mathematics continuing to rise, we offer this survey article as another example of the breadth of mathematics that has biological significance. The most com- prehensive reference for the mathematical research done in this area (through 1980) is W¨orz-Busekros [36]. 1. Genetic motivation Before we discuss the mathematics of genetics, we need to acquaint ourselves with the necessary language from biology. A vague, but nevertheless informative, definition of a gene is simply a unit of hereditary information. -
VENN DIAGRAM Is a Graphic Organizer That Compares and Contrasts Two (Or More) Ideas
InformationVenn Technology Diagram Solutions ABOUT THE STRATEGY A VENN DIAGRAM is a graphic organizer that compares and contrasts two (or more) ideas. Overlapping circles represent how ideas are similar (the inner circle) and different (the outer circles). It is used after reading a text(s) where two (or more) ideas are being compared and contrasted. This strategy helps students identify Wisconsin similarities and differences between ideas. State Standards Reading:INTERNET SECURITYLiterature IMPLEMENTATION OF THE STRATEGY •Sit Integration amet, consec tetuer of Establish the purpose of the Venn Diagram. adipiscingKnowledge elit, sed diam and Discuss two (or more) ideas / texts, brainstorming characteristics of each of the nonummy nibh euismod tincidunt Ideas ideas / texts. ut laoreet dolore magna aliquam. Provide students with a Venn diagram and model how to use it, using two (or more) ideas / class texts and a think aloud to illustrate your thinking; scaffold as NETWORKGrade PROTECTION Level needed. Ut wisi enim adK- minim5 veniam, After students have examined two (or more) ideas or read two (or more) texts, quis nostrud exerci tation have them complete the Venn diagram. Ask students leading questions for each ullamcorper.Et iusto odio idea: What two (or more) ideas are we comparing and contrasting? How are the dignissimPurpose qui blandit ideas similar? How are the ideas different? Usepraeseptatum with studentszzril delenit Have students synthesize their analysis of the two (or more) ideas / texts, toaugue support duis dolore te feugait summarizing the differences and similarities. comprehension:nulla adipiscing elit, sed diam identifynonummy nibh. similarities MEASURING PROGRESS and differences Teacher observation betweenPERSONAL ideas FIREWALLS Conferring Tincidunt ut laoreet dolore Student journaling magnaWhen aliquam toerat volutUse pat. -
MGF 1106 Learning Objectives
Learning Objectives L01 Set Concepts and Subsets (2.1, 2.2) 1. Indicate sets by the description method, roster method, and by using set builder notation. 2. Determine if a set is well defined. 3. Determine if a set is finite or infinite. 4. Determine if sets are equal, equivalent, or neither. 5. Find the cardinal number of a set. 6. Determine if a set is equal to the empty set. 7. Use the proper notation for the empty set. 8. Give an example of a universal set and list all of its subsets and all of its proper subsets. 9. Properly use notation for element, subset, and proper subset. 10. Determine if a number represents a cardinal number or an ordinal number. 11. Be able to determine the number of subsets and proper subsets that can be formed from a universal set without listing them. L02 Venn Diagrams and Set Operations (2.3, 2.4) 1. Determine if sets are disjoint. 2. Find the complement of a set 3. Find the intersection of two sets. 4. Find the union of two sets. 5. Find the difference of two sets. 6. Apply several set operations involved in a statement. 7. Determine sets from a Venn diagram. 8. Use the formula that yields the cardinal number of a union. 9. Construct a Venn diagram given two sets. 10. Construct a Venn diagram given three sets. L03 Equality of Sets; Applications of Sets (2.4, 2.5) 1. Determine if set statements are equal by using Venn diagrams or DeMorgan's laws. -
The Probability Set-Up.Pdf
CHAPTER 2 The probability set-up 2.1. Basic theory of probability We will have a sample space, denoted by S (sometimes Ω) that consists of all possible outcomes. For example, if we roll two dice, the sample space would be all possible pairs made up of the numbers one through six. An event is a subset of S. Another example is to toss a coin 2 times, and let S = fHH;HT;TH;TT g; or to let S be the possible orders in which 5 horses nish in a horse race; or S the possible prices of some stock at closing time today; or S = [0; 1); the age at which someone dies; or S the points in a circle, the possible places a dart can hit. We should also keep in mind that the same setting can be described using dierent sample set. For example, in two solutions in Example 1.30 we used two dierent sample sets. 2.1.1. Sets. We start by describing elementary operations on sets. By a set we mean a collection of distinct objects called elements of the set, and we consider a set as an object in its own right. Set operations Suppose S is a set. We say that A ⊂ S, that is, A is a subset of S if every element in A is contained in S; A [ B is the union of sets A ⊂ S and B ⊂ S and denotes the points of S that are in A or B or both; A \ B is the intersection of sets A ⊂ S and B ⊂ S and is the set of points that are in both A and B; ; denotes the empty set; Ac is the complement of A, that is, the points in S that are not in A. -
Instructional Guide for Basic Mathematics 1, Grades 10 To
REPORT RESUMES ED 016623 SE 003 950 INSTRUCTIONAL GUIDE FOR BASIC MATHEMATICS 1,GRADES 10 TO 12. BY- RICHMOND, RUTH KUSSMANN LOS ANGELES CITY SCHOOLS, CALIF. REPORT NUMBER X58 PUB DATE 66 EDRS PRICE MF -$0.25 HC-61.44 34P. DESCRIPTORS- *CURRICULUM DEVELOPMENT,*MATHEMATICS, *SECONDARY SCHOOL MATHEMATICS, *TEACHING GUIDES,ARITHMETIC, COURSE CONTENT, GRADE 10, GRADE 11, GRADE 12,GEOMETRY, LOW ABILITY STUDENTS, SLOW LEARNERS, STUDENTCHARACTERISTICS, LOS ANGELES, CALIFORNIA, THIS INSTRUCTIONAL GUIDE FORMATHEMATICS 1 OUTLINES CONTENT AND PROVIDES TEACHINGSUGGESTIONS FOR A FOUNDATION COURSE FOR THE SLOW LEARNER IN THESENIOR HIGH SCHOOL. CONSIDERATION HAS BEEN GIVEN IN THEPREPARATION OF THIS DOCUMENT TO THE STUDENT'S INTERESTLEVELS AND HIS ABILITY TO LEARN. THE GUIDE'S PURPOSE IS TOENABLE THE STUDENTS TO UNDERSTAND AND APPLY THE FUNDAMENTALMATHEMATICAL ALGORITHMS AND TO ACHIEVE SUCCESS ANDENJOYMENT IN WORKING WITH MATHEMATICS. THE CONTENT OF EACH UNITINCLUDES (1) DEVELOPMENT OF THE UNIT, (2)SUGGESTED TEACHING PROCEDURES, AND (3) STUDENT EVALUATION.THE MAJOR PORTION OF THE MATERIAL IS DEVOTED TO THE FUNDAMENTALOPERATIONS WITH WHOLE NUMBERS. IDENTIFYING AND CLASSIFYING ELEMENTARYGEOMETRIC FIGURES ARE ALSO INCLUDED. (RP) WELFARE U.S. DEPARTMENT OFHEALTH, EDUCATION & OFFICE OF EDUCATION RECEIVED FROM THE THIS DOCUMENT HAS BEENREPRODUCED EXACTLY AS POINTS OF VIEW OROPINIONS PERSON OR ORGANIZATIONORIGINATING IT. OF EDUCATION STATED DO NOT NECESSARILYREPRESENT OFFICIAL OFFICE POSITION OR POLICY. INSTRUCTIONAL GUIDE BASICMATHEMATICS I GRADES 10 to 12 LOS ANGELES CITY SCHOOLS Division of Instructional Services Curriculum Branch Publication No. X-58 1966 FOREWORD This Instructional Guide for Basic Mathematics 1 outlines content and provides teaching suggestions for a foundation course for the slow learner in the senior high school. -
Basic Structures: Sets, Functions, Sequences, and Sums 2-2
CHAPTER Basic Structures: Sets, Functions, 2 Sequences, and Sums 2.1 Sets uch of discrete mathematics is devoted to the study of discrete structures, used to represent discrete objects. Many important discrete structures are built using sets, which 2.2 Set Operations M are collections of objects. Among the discrete structures built from sets are combinations, 2.3 Functions unordered collections of objects used extensively in counting; relations, sets of ordered pairs that represent relationships between objects; graphs, sets of vertices and edges that connect 2.4 Sequences and vertices; and finite state machines, used to model computing machines. These are some of the Summations topics we will study in later chapters. The concept of a function is extremely important in discrete mathematics. A function assigns to each element of a set exactly one element of a set. Functions play important roles throughout discrete mathematics. They are used to represent the computational complexity of algorithms, to study the size of sets, to count objects, and in a myriad of other ways. Useful structures such as sequences and strings are special types of functions. In this chapter, we will introduce the notion of a sequence, which represents ordered lists of elements. We will introduce some important types of sequences, and we will address the problem of identifying a pattern for the terms of a sequence from its first few terms. Using the notion of a sequence, we will define what it means for a set to be countable, namely, that we can list all the elements of the set in a sequence. -
A Diagrammatic Inference System with Euler Circles ∗
A Diagrammatic Inference System with Euler Circles ∗ Koji Mineshima, Mitsuhiro Okada, and Ryo Takemura Department of Philosophy, Keio University, Japan. fminesima,mitsu,[email protected] Abstract Proof-theory has traditionally been developed based on linguistic (symbolic) represen- tations of logical proofs. Recently, however, logical reasoning based on diagrammatic or graphical representations has been investigated by logicians. Euler diagrams were intro- duced in the 18th century by Euler [1768]. But it is quite recent (more precisely, in the 1990s) that logicians started to study them from a formal logical viewpoint. We propose a novel approach to the formalization of Euler diagrammatic reasoning, in which diagrams are defined not in terms of regions as in the standard approach, but in terms of topo- logical relations between diagrammatic objects. We formalize the unification rule, which plays a central role in Euler diagrammatic reasoning, in a style of natural deduction. We prove the soundness and completeness theorems with respect to a formal set-theoretical semantics. We also investigate structure of diagrammatic proofs and prove a normal form theorem. 1 Introduction Euler diagrams were introduced by Euler [3] to illustrate syllogistic reasoning. In Euler dia- grams, logical relations among the terms of a syllogism are simply represented by topological relations among circles. For example, the universal categorical statements of the forms All A are B and No A are B are represented by the inclusion and the exclusion relations between circles, respectively, as seen in Fig. 1. Given two Euler diagrams which represent the premises of a syllogism, the syllogistic inference can be naturally replaced by the task of manipulating the diagrams, in particular of unifying the diagrams and extracting information from them. -
Sets, Functions
Sets 1 Sets Informally: A set is a collection of (mathematical) objects, with the collection treated as a single mathematical object. Examples: • real numbers, • complex numbers, C • integers, • All students in our class Defining Sets Sets can be defined directly: e.g. {1,2,4,8,16,32,…}, {CSC1130,CSC2110,…} Order, number of occurence are not important. e.g. {A,B,C} = {C,B,A} = {A,A,B,C,B} A set can be an element of another set. {1,{2},{3,{4}}} Defining Sets by Predicates The set of elements, x, in A such that P(x) is true. {}x APx| ( ) The set of prime numbers: Commonly Used Sets • N = {0, 1, 2, 3, …}, the set of natural numbers • Z = {…, -2, -1, 0, 1, 2, …}, the set of integers • Z+ = {1, 2, 3, …}, the set of positive integers • Q = {p/q | p Z, q Z, and q ≠ 0}, the set of rational numbers • R, the set of real numbers Special Sets • Empty Set (null set): a set that has no elements, denoted by ф or {}. • Example: The set of all positive integers that are greater than their squares is an empty set. • Singleton set: a set with one element • Compare: ф and {ф} – Ф: an empty set. Think of this as an empty folder – {ф}: a set with one element. The element is an empty set. Think of this as an folder with an empty folder in it. Venn Diagrams • Represent sets graphically • The universal set U, which contains all the objects under consideration, is represented by a rectangle. -
The Universal Finite Set 3
THE UNIVERSAL FINITE SET JOEL DAVID HAMKINS AND W. HUGH WOODIN Abstract. We define a certain finite set in set theory { x | ϕ(x) } and prove that it exhibits a universal extension property: it can be any desired particular finite set in the right set-theoretic universe and it can become successively any desired larger finite set in top-extensions of that universe. Specifically, ZFC proves the set is finite; the definition ϕ has complexity Σ2, so that any affirmative instance of it ϕ(x) is verified in any sufficiently large rank-initial segment of the universe Vθ ; the set is empty in any transitive model and others; and if ϕ defines the set y in some countable model M of ZFC and y ⊆ z for some finite set z in M, then there is a top-extension of M to a model N in which ϕ defines the new set z. Thus, the set shows that no model of set theory can realize a maximal Σ2 theory with its natural number parameters, although this is possible without parameters. Using the universal finite set, we prove that the validities of top-extensional set-theoretic potentialism, the modal principles valid in the Kripke model of all countable models of set theory, each accessing its top-extensions, are precisely the assertions of S4. Furthermore, if ZFC is consistent, then there are models of ZFC realizing the top-extensional maximality principle. 1. Introduction The second author [Woo11] established the universal algorithm phenomenon, showing that there is a Turing machine program with a certain universal top- extension property in models of arithmetic. -
Chapter I Set Theory
Chapter I Set Theory There is surely a piece of divinity in us, something that was before the elements, and owes no homage unto the sun. Sir Thomas Browne One of the benefits of mathematics comes from its ability to express a lot of information in very few symbols. Take a moment to consider the expression d sin( θ). dθ It encapsulates a large amount of information. The notation sin( θ) represents, for a right triangle with angle θ, the ratio of the opposite side to the hypotenuse. The differential operator d/dθ represents a limit, corresponding to a tangent line, and so forth. Similarly, sets are a convenient way to express a large amount of information. They give us a language we will find convenient in which to do mathematics. This is no accident, as much of modern mathematics can be expressed in terms of sets. 1 2 CHAPTER I. SET THEORY 1 Sets, subsets, and set operations 1.A What is a set? A set is simply a collection of objects. The objects in the set are called the elements . We often write down a set by listing its elements. For instance, the set S = 1, 2, 3 has three elements. Those elements are 1, 2, and 3. There is a special symbol,{ }, that we use to express the idea that an element belongs to a set. For instance, we∈ write 1 S to mean that “1 is an element of S.” For∈ the set S = 1, 2, 3 , we have 1 S, 2 S, and 3 S.