“The Distributive Property: the Core of Multiplication” Appendix (Page 1 of 5)
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An Elementary Approach to Boolean Algebra
Eastern Illinois University The Keep Plan B Papers Student Theses & Publications 6-1-1961 An Elementary Approach to Boolean Algebra Ruth Queary Follow this and additional works at: https://thekeep.eiu.edu/plan_b Recommended Citation Queary, Ruth, "An Elementary Approach to Boolean Algebra" (1961). Plan B Papers. 142. https://thekeep.eiu.edu/plan_b/142 This Dissertation/Thesis is brought to you for free and open access by the Student Theses & Publications at The Keep. It has been accepted for inclusion in Plan B Papers by an authorized administrator of The Keep. For more information, please contact [email protected]. r AN ELEr.:ENTARY APPRCACH TC BCCLF.AN ALGEBRA RUTH QUEAHY L _J AN ELE1~1ENTARY APPRCACH TC BC CLEAN ALGEBRA Submitted to the I<:athematics Department of EASTERN ILLINCIS UNIVERSITY as partial fulfillment for the degree of !•:ASTER CF SCIENCE IN EJUCATION. Date :---"'f~~-----/_,_ffo--..i.-/ _ RUTH QUEARY JUNE 1961 PURPOSE AND PLAN The purpose of this paper is to provide an elementary approach to Boolean algebra. It is designed to give an idea of what is meant by a Boclean algebra and to supply the necessary background material. The only prerequisite for this unit is one year of high school algebra and an open mind so that new concepts will be considered reason able even though they nay conflict with preconceived ideas. A mathematical science when put in final form consists of a set of undefined terms and unproved propositions called postulates, in terrrs of which all other concepts are defined, and from which all other propositions are proved. -
On the Relation Between Hyperrings and Fuzzy Rings
ON THE RELATION BETWEEN HYPERRINGS AND FUZZY RINGS JEFFREY GIANSIRACUSA, JAIUNG JUN, AND OLIVER LORSCHEID ABSTRACT. We construct a full embedding of the category of hyperfields into Dress’s category of fuzzy rings and explicitly characterize the essential image — it fails to be essentially surjective in a very minor way. This embedding provides an identification of Baker’s theory of matroids over hyperfields with Dress’s theory of matroids over fuzzy rings (provided one restricts to those fuzzy rings in the essential image). The embedding functor extends from hyperfields to hyperrings, and we study this extension in detail. We also analyze the relation between hyperfields and Baker’s partial demifields. 1. Introduction The important and pervasive combinatorial notion of matroids has spawned a number of variants over the years. In [Dre86] and [DW91], Dress and Wenzel developed a unified framework for these variants by introducing a generalization of rings called fuzzy rings and defining matroids with coefficients in a fuzzy ring. Various flavors of matroids, including ordinary matroids, oriented matroids, and the valuated matroids introduced in [DW92], correspond to different choices of the coefficient fuzzy ring. Roughly speaking, a fuzzy ring is a set S with single-valued unital addition and multiplication operations that satisfy a list of conditions analogous to those of a ring, such as distributivity, but only up to a tolerance prescribed by a distinguished ideal-like subset S0. Beyond the work of Dress and Wenzel, fuzzy rings have not yet received significant attention in the literature. A somewhat different generalization of rings, known as hyperrings, has been around for many decades and has been studied very broadly in the literature. -
Exploring the Distributive Property; Patterns, Functions, and Algebra; 5.19
Mathematics Enhanced Scope and Sequence – Grade 5 Exploring the Distributive Property Reporting Category Patterns, Functions, and Algebra Topic Investigating and recognizing the distributive property Primary SOL 5.19 The student will investigate and recognize the distributive property of multiplication over addition. Related SOL 5.7 Materials Base-10 blocks Exploring the Distributive Property Recording Sheet (attached) Colored pencils or markers Drawing paper Vocabulary distributive property Student/Teacher Actions (what students and teachers should be doing to facilitate learning) 1. Begin the lesson by asking students to compute 4 × 53 mentally. Ask volunteers to share different methods of mental computation for this problem, and write their suggested methods on the board. Spotlight any method that uses the distributive property: 4 × 53 = 4 × 50 + 4 × 3 = 200 + 12 = 212 Point out how the number 53 was broken into 50 + 3, making it easier to multiply and add mentally. Thus, this problem could be written as follows: 4 × (50 + 3) = (4 × 50) + (4 × 3) = 200 + 12 = 212 2. Have students use base-10 blocks to model 4 × 53 by showing 4 groups of 53. Guide student to see that if = 10 units and = 1 unit, they can make 4 groups of 50 and 4 groups of 3, as shown below: Using the base-10 blocks, students can see that the 4 groups of 50 = 200 (skip count the rods by 10), and the 4 groups of 3 = 12. Therefore, 200 + 12 = 212. Have students record their drawings and solution in symbols on their recording sheets. 3. Present students with another problem, 6 × 24, and ask them to model this problem with base-10 pieces. -
DISTRIBUTIVE PROPERTY What Is the Distributive Property?
DISTRIBUTIVE PROPERTY What Is the Distributive Property? • The distributive property offers a choice in multiplication of two ways to treat the addends in the equation. We are multiplying a sum by a factor which results in the same product as multiplying each addend by the factor and then adding the products. 4 x (5 + 6) = 4 x 11 = 44 4 x (5 + 6) = 20 + 24 = 44 • When applying the distributive property, you can add the numbers inside the parentheses first and then multiply, for instance: 8 x (2 + 7) = 8 x 9 = 72 • When applying the distributive property, you can multiply each of the numbers inside the parentheses by the same factor and then add the products, for instance:www.newpathlearning.com 8 x (2 + 7) = 16 +56 = 72 • Whichever method you choose to apply the distributive property, the result (answer) will be the same. Distributing the multiplication factor over each addend or over the sum of the addends is your choice. Sometimes the two numbers to be added are easy to solve: 15 + 25 or 17 + 20. This is when it is more efficient to add first. When the factor belongs to a familiar set, multiply first. This would be true if the factor was 2, 3, 4, 5, 10, 20, 100, etc. © Copyright NewPath Learning. All Rights Reserved. Permission is granted for the purchaser to print copies for non-commercial educational purposes only. Visit us at www.NewPathLearning.com. Examples: Here are a variety of examples in which the distributive law has been applied correctly: 7 x (6 + 7) = 42 +49 = 91 10 x (3+ 17) = 30 +170 = 200 8 x (6 + 5) = 8 x 11 = 88 12 x (2 + 7) = 12 x 9 = 108 Note: The distributive law can not be applied to subtraction or division. -
Commutative Property
Properties of Addition & Multiplication for Ms. Davis’s 5th-Grade Math Classes © Deanne Davis, 2012 Before We Begin… • What do these symbols mean? ( ) = multiply: 6(2) or group: (6 + 2) * = multiply = multiply ÷ = divide / = divide Before We Begin… • The numbers in number sentences have names. • ADDITION: 3 + 4 = 7 addend addend sum Before We Begin… • The numbers in number sentences have names. • MULTIPLICATION: 3 x 4 = 12 factor factor product (multiplier) (multiplicand) Before We Begin… • So, FACTORS are numbers that are multiplied together. • Factors of 12 are: 1, 2, 3, 4, 6, & 12 1 x 12 = 12 2 x 6 = 12 3 x 4 = 12 • To find factors of a number, just think of all the different numbers we can multiply together to get that number as a product. Before We Begin… • MULTIPLES are products of given whole numbers. • Multiples of 5 are: 5, 10, 15, 20, 25, 30… 5x1 5x2 5x3 5x4 5x5 5x6 • To find a multiple of a number, just take that number, and multiply it by any other whole number. Commutative Property • To COMMUTATE is to reverse the direction of something. • The COMMUTATIVE property says that the order of numbers in a number sentence can be reversed. • Addition & multiplication have COMMUTATIVE properties. Commutative Property Examples: 7 + 5 = 5 + 7 9 x 3 = 3 x 9 Note: subtraction & division DO NOT have commutative properties! Commutative Property Practice: Show the commutative property of each number sentence. 1. 13 + 18 = 2. 42 x 77 = 3. 5 + 4 = 4. 7(3) = 5. 137 48 = Commutative Property ANSWERS: Show the commutative property of each number sentence. -
Commutative, Associative & Distributive
READING MATERIAL Read About Multiplication Properties (Commutative, Associative & Distributive) WHAT ARE MULTIPLICATION PROPERTIES: COMMUTATIVE, ASSOCIATIVE, AND DISTRIBUTIVE? Properties of multiplication are special facts about multiplication that you can use to find products. These properties can help you break down seemingly difficult multiplication problems into simpler ones. To better understand multiplication properties… LET’S BREAK IT DOWN! Basketball April and Marcos are playing basketball. April scored two 3-point shots and Marcos scored three 2-point shots. Who scored more points? April’s score can be expressed as 2 × 3, which equals 6. Marcos’ score can be expressed as 3 × 2, which also equals 6. Their scores are the same, and we have discovered the commutative property of multiplication: The order in which we multiply two factors does not change the product. Try this one yourself: You have 3 boxes that each contain 5 cookies and your friend has 5 boxes that each contain 3 cookies. Show that you and your friend have the same number of cookies. Page 1 Postcards Adesina, April, and Marcos have postcards arranged in a 12 by 6 grid. How many postcards do they have? The distributive property will help to solve this multiplication problem more easily than multiplying 12 by 6. is the grid can be divided into two smaller rectangles, so that one rectangle measures 10 by 6 postcards and the other measures 2 by 6. These calculations are easier than the original multiplication, and once we have the products, we can add them together to find the total number of postcards. This expression can be written as 10 × 6 + 2 × 6, and we can use parentheses to make the expression easier to read: (10 × 6) + (2 × 6) = 60 + 12 = 72. -
De Morgan's Laws Revisited: to Be AND/OR NOT to Be
Paper PO25 De Morgan’s Laws Revisited: To Be AND/OR NOT To Be Raoul A. Bernal, Amgen, Inc., Thousand Oaks, CA ABSTRACT De Morgan's Laws, named for the nineteenth century British mathematician and logician Augustus De Morgan (1806- 1871), are powerful rules of Boolean algebra and set theory that relate the three basic set operations (union, intersection and complement) to each other. If A and B are subsets of a universal set U, de Morgan’s laws state that (A ∪ B) ' = A' ∩ B' (A ∩ B) ' = A' ∪ B' where ∪ denotes the union (OR), ∩ denotes the intersection (AND) and A' denotes the set complement (NOT) of A in U, i.e., A' = U\A. The first law simply states that an element not in A ∪ B is not in A' and not in B'. Conversely, it also states that an element not in A' and not in B' is not in A ∪ B. The second law simply states that an element not in A ∩ B is not in A' or not in B'. Conversely, it also states that an element not in A' or not in B' is not in A ∩ B. This paper will demonstrate how the de Morgan’s Laws can be used to simplify complicated Boolean IF and WHERE expressions in SAS code. Using a specific example, the correctness of the simplified SAS code is verified using direct proof and tautology table. An actual SAS example with simple clinical data will be executed to show the equivalence and correctness of the results. INTRODUCTION In general, for any collection of subsets, de Morgan’s Laws are as follows: Theorem. -
Intermediate Algebra This Course Covers the Topics Shown Below
Intermediate Algebra This course covers the topics shown below. Students navigate learning paths based on their level of readiness. Institutional users may customize the scope and sequence to meet curricular needs. Curriculum (495 topics + 307 additional topics) Real Numbers (54 topics) Plotting and Ordering (5 topics) Plotting integers on a number line Ordering integers Square root of a perfect square Using a calculator to approximate a square root Absolute value of a number Operations with Rational Numbers (24 topics) Integer addition: Problem type 1 Integer addition: Problem type 2 Integer subtraction: Problem type 1 Integer subtraction: Problem type 2 Integer subtraction: Problem type 3 Addition and subtraction with 3 integers Addition and subtraction with 4 or 5 integers Word problem with addition or subtraction of integers Integer multiplication and division Multiplication of 3 or 4 integers Division involving zero Identifying numbers as integers or non-integers Identifying numbers as rational or irrational Least common multiple of 2 numbers Signed fraction addition or subtraction: Basic Signed fraction subtraction involving double negation Signed fraction addition or subtraction: Advanced Addition and subtraction of 3 fractions involving signs Signed fraction multiplication: Basic Signed fraction multiplication: Advanced Signed fraction division Signed decimal addition and subtraction Signed decimal addition and subtraction with 3 numbers Operations with absolute value: Problem type 2 Exponents and Order of Operations (5 topics) -
2.2 Set Operations 127
P1: 1 CH02-7T Rosen-2311T MHIA017-Rosen-v5.cls May 13, 2011 10:24 2.2 Set Operations 127 2.2 Set Operations Introduction Two, or more, sets can be combined in many different ways. For instance, starting with the set of mathematics majors at your school and the set of computer science majors at your school, we can form the set of students who are mathematics majors or computer science majors, the set of students who are joint majors in mathematics and computer science, the set of all students not majoring in mathematics, and so on. DEFINITION 1 Let A and B be sets. The union of the sets A and B, denoted by A ∪ B, is the set that contains those elements that are either in A or in B, or in both. An element x belongs to the union of the sets A and B if and only if x belongs to A or x belongs to B. This tells us that A ∪ B ={x | x ∈ A ∨ x ∈ B}. The Venn diagram shown in Figure 1 represents the union of two sets A and B. The area that represents A ∪ B is the shaded area within either the circle representing A or the circle representing B. We will give some examples of the union of sets. EXAMPLE 1 The union of the sets {1, 3, 5} and {1, 2, 3} is the set {1, 2, 3, 5}; that is, {1, 3, 5}∪{1, 2, 3}={1, 2, 3, 5}. ▲ EXAMPLE 2 The union of the set of all computer science majors at your school and the set of all mathe- matics majors at your school is the set of students at your school who are majoring either in mathematics or in computer science (or in both). -
Thermodynamic Semirings
J. Noncommut. Geom. 8 (2014), 337–392 Journal of Noncommutative Geometry DOI 10.4171/JNCG/159 © European Mathematical Society Thermodynamic semirings Matilde Marcolli and Ryan Thorngren Abstract. The Witt construction describes a functor from the category of Rings to the category of characteristic 0 rings. It is uniquely determined by a few associativity constraints which do not depend on the types of the variables considered, in other words, by integer polynomials. This universality allowed Alain Connes and Caterina Consani to devise an analogue of the Witt ring for characteristic one, an attractive endeavour since we know very little about the arithmetic in this exotic characteristic and its corresponding field with one element. Interestingly, they found that in characteristic one, theWitt construction depends critically on the Shannon entropy. In the current work, we examine this surprising occurrence, defining a Witt operad for an arbitrary information measure and a corresponding algebra we call a thermodynamic semiring. This object exhibits algebraically many of the familiar properties of information measures, and we examine in particular the Tsallis and Renyi entropy functions and applications to non- extensive thermodynamics and multifractals. We find that the arithmetic of the thermodynamic semiring is exactly that of a certain guessing game played using the given information measure. Mathematics Subject Classification (2010). 94A17, 13F35, 28D20. Keywords. Entropy (Shannon, Renyi, Tsallis, Kullback–Leibler divergence), semiring, Witt construction, multifractals, operads, binary guessing games, entropy algebras. Contents 1 Introduction ...................................... 338 2 Preliminary notions .................................. 340 3 Axioms for entropy functions ............................. 345 4 Thermodynamic semirings .............................. 348 5 Statistical mechanics ................................. 351 6 The Rényi entropy ................................... 353 7 The Tsallis entropy ................................. -
Properties Multiplicative Property of Zero Associative Property
Properties Multiplicative Property of Zero What do you multiply a number by Statements that are true to get zero? for any number of variables. a • 0 = 0 (If you multiply by 0, the answer is 0.) Commutative Property Associative Property Commutative means that the order does not Associative means that the grouping does not make any difference. make any difference. a + b = b + a a • b = b • a (a + b) + c = a + (b + c) (ab) c = a (bc) Examples Examples 4 + 5 = 5 + 4 (1 + 2) + 3 = 1 + (2 + 3) 2 • 3 = 3 • 2 (2 • 3) • 4 = 2 • (3 • 4) The associative property does not work for The commutative property does not work for subtraction or division. subtraction or division. 1 Identity Properties 1) Additive Identity What do you add to a number to get Distributive the same number? Property a + 0 = a 2) Multiplicative Identity What do you multiply a number by to get the same number? a • 1 = a Name the property Inverse Properties 1) 5a + (6 + 2a) = 5a + (2a + 6) 1) Additive Inverse (Opposite) commutative (switching order) a + (-a) = 0 2) 5a + (2a + 6) = (5a + 2a) + 6 2) Multiplicative Inverse associative (switching groups) (Reciprocal) 1 3) 2(3 + a) = 6 + 2a a 1 a distributive 2 1. 4. 0 12 = 0 Multiplicative Prop. Of Zero 5. 6 + (-6) = 0 Additive Inverse 6. 1 m = m Multiplicative Identity (2 + 1) + 4 = 2 + (1 + 4) 7. x + 0 = x Additive Identity Associative Property 1 8. 11 1 Multiplicative Inverse 11 of Addition 2. 3. 3 + 7 = 7 + 3 8 + 0 = 8 Commutative Identity Property of Property of Addition Addition 3 5. -
Elementary Boolean Algebra
ELEI'ENTARY BOOLEAN ALGEBRA hy RICHARD E.\RL SH-^S E. S., Kansas State University, I963 A MASTER'S REPORT submitted in partial fulfillment of the requirements for the degree MASTER OF SCIENCE Department of 1-Iathematics KANSAS STATE UNIVERSITY 1-knhattan, Kansas 1965 Approved by: OyU^^^. (y3^>^4a:f I-lajor Professor ii ^7 _ TABLE OF CONTENTS a- X INIRODUCTION 1 DEFINITION OF A BOOLEAN ALGEBRA k ORDERED SETS AND LATTICES 9 ^ APPLICATION 20 TABLE OF REFERENCES 3? ACIffiOV.LSDGSffiNT 38 , INTRODUCTION In the last twenty-five years, Boolean algebra has developed from what was often regarded as just an interesting curiosity into an exten- sive and nature branch of mathematics (5, ix) . Boolean algebra is named after the English mathematician, George Boole, He developed this algebra after the realization that an algebra is an abstract system. This gave Boole the opportimity he needed, and he separated the symbols of mathe- matical operations from the things upon which they operate and proceeded to investigate these operations in their abstract setting. Ke produced many notable mathematical works, but his main effort was in x-n:iting his book, "The Laws of Thought," As the name Boolean algebra suggests, it is part of that branch of mathematics knox-m as modern or abstract algebra. It is an algebra usually studied in a basic course of modern algebra, and it has "readily available applications to illustrate the theory. One phase of its development has been inspired by the applications of Boolean algebra to the design of switching circuits for telephone and control systems, and to design of logic circuits for corputers.