Elementary Algebra
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Mathematics (MATH) 1
Mathematics (MATH) 1 MATH 021 Precalculus Algebra 4 Units MATHEMATICS (MATH) Students will study topics which include basic algebraic concepts, complex numbers, equations and inequalities, graphs of functions, linear MATH 013 Intermediate Algebra 5 Units and quadratic functions, polynomial functions of higher degree, rational, This course continues the Algebra sequence and is a prerequisite to exponential, absolute value, and logarithmic functions, sequences and transfer level math courses. Students will review elementary algebra series, and conic sections. This course is designed to prepare students topics and further their skills in solving absolute value in equations for the level of algebra required in calculus. Students may not take a and inequalities, quadratic functions and complex numbers, radicals combination of MATH 021 and MATH 025. (C-ID MATH 151) and rational exponents, exponential and logarithmic functions, inverse Lecture Hours: 4 Lab Hours: None Repeatable: No Grading: L functions, and sequences and series. Prerequisite: MATH 013 with C or better Lecture Hours: 5 Lab Hours: None Repeatable: No Grading: O Advisory Level: Read: 3 Write: 3 Math: None Prerequisite: MATH 111 with P grade or equivalent Transfer Status: CSU/UC Degree Applicable: AA/AS Advisory Level: Read: 3 Write: 3 Math: None CSU GE: B4 IGETC: 2A District GE: B4 Transfer Status: None Degree Applicable: AS Credit by Exam: Yes CSU GE: None IGETC: None District GE: None MATH 021X Just-In-Time Support for Precalculus Algebra 2 Units MATH 014 Geometry 3 Units Students will receive "just-in-time" review of the core prerequisite Students will study logical proofs, simple constructions, and numerical skills, competencies, and concepts needed in Precalculus. -
LINEAR ALGEBRA METHODS in COMBINATORICS László Babai
LINEAR ALGEBRA METHODS IN COMBINATORICS L´aszl´oBabai and P´eterFrankl Version 2.1∗ March 2020 ||||| ∗ Slight update of Version 2, 1992. ||||||||||||||||||||||| 1 c L´aszl´oBabai and P´eterFrankl. 1988, 1992, 2020. Preface Due perhaps to a recognition of the wide applicability of their elementary concepts and techniques, both combinatorics and linear algebra have gained increased representation in college mathematics curricula in recent decades. The combinatorial nature of the determinant expansion (and the related difficulty in teaching it) may hint at the plausibility of some link between the two areas. A more profound connection, the use of determinants in combinatorial enumeration goes back at least to the work of Kirchhoff in the middle of the 19th century on counting spanning trees in an electrical network. It is much less known, however, that quite apart from the theory of determinants, the elements of the theory of linear spaces has found striking applications to the theory of families of finite sets. With a mere knowledge of the concept of linear independence, unexpected connections can be made between algebra and combinatorics, thus greatly enhancing the impact of each subject on the student's perception of beauty and sense of coherence in mathematics. If these adjectives seem inflated, the reader is kindly invited to open the first chapter of the book, read the first page to the point where the first result is stated (\No more than 32 clubs can be formed in Oddtown"), and try to prove it before reading on. (The effect would, of course, be magnified if the title of this volume did not give away where to look for clues.) What we have said so far may suggest that the best place to present this material is a mathematics enhancement program for motivated high school students. -
Number Theory
“mcs-ftl” — 2010/9/8 — 0:40 — page 81 — #87 4 Number Theory Number theory is the study of the integers. Why anyone would want to study the integers is not immediately obvious. First of all, what’s to know? There’s 0, there’s 1, 2, 3, and so on, and, oh yeah, -1, -2, . Which one don’t you understand? Sec- ond, what practical value is there in it? The mathematician G. H. Hardy expressed pleasure in its impracticality when he wrote: [Number theorists] may be justified in rejoicing that there is one sci- ence, at any rate, and that their own, whose very remoteness from or- dinary human activities should keep it gentle and clean. Hardy was specially concerned that number theory not be used in warfare; he was a pacifist. You may applaud his sentiments, but he got it wrong: Number Theory underlies modern cryptography, which is what makes secure online communication possible. Secure communication is of course crucial in war—which may leave poor Hardy spinning in his grave. It’s also central to online commerce. Every time you buy a book from Amazon, check your grades on WebSIS, or use a PayPal account, you are relying on number theoretic algorithms. Number theory also provides an excellent environment for us to practice and apply the proof techniques that we developed in Chapters 2 and 3. Since we’ll be focusing on properties of the integers, we’ll adopt the default convention in this chapter that variables range over the set of integers, Z. 4.1 Divisibility The nature of number theory emerges as soon as we consider the divides relation a divides b iff ak b for some k: D The notation, a b, is an abbreviation for “a divides b.” If a b, then we also j j say that b is a multiple of a. -
Arxiv:2008.02889V1 [Math.QA]
NONCOMMUTATIVE NETWORKS ON A CYLINDER S. ARTHAMONOV, N. OVENHOUSE, AND M. SHAPIRO Abstract. In this paper a double quasi Poisson bracket in the sense of Van den Bergh is constructed on the space of noncommutative weights of arcs of a directed graph embedded in a disk or cylinder Σ, which gives rise to the quasi Poisson bracket of G.Massuyeau and V.Turaev on the group algebra kπ1(Σ,p) of the fundamental group of a surface based at p ∈ ∂Σ. This bracket also induces a noncommutative Goldman Poisson bracket on the cyclic space C♮, which is a k-linear space of unbased loops. We show that the induced double quasi Poisson bracket between boundary measurements can be described via noncommutative r-matrix formalism. This gives a more conceptual proof of the result of [Ove20] that traces of powers of Lax operator form an infinite collection of noncommutative Hamiltonians in involution with respect to noncommutative Goldman bracket on C♮. 1. Introduction The current manuscript is obtained as a continuation of papers [Ove20, FK09, DF15, BR11] where the authors develop noncommutative generalizations of discrete completely integrable dynamical systems and [BR18] where a large class of noncommutative cluster algebras was constructed. Cluster algebras were introduced in [FZ02] by S.Fomin and A.Zelevisnky in an effort to describe the (dual) canonical basis of universal enveloping algebra U(b), where b is a Borel subalgebra of a simple complex Lie algebra g. Cluster algebras are commutative rings of a special type, equipped with a distinguished set of generators (cluster variables) subdivided into overlapping subsets (clusters) of the same cardinality subject to certain polynomial relations (cluster transformations). -
Using March Madness in the First Linear Algebra Course
Using March Madness in the first Linear Algebra course Steve Hilbert Ithaca College [email protected] Background • National meetings • Tim Chartier • 1 hr talk and special session on rankings • Try something new Why use this application? • This is an example that many students are aware of and some are interested in. • Interests a different subgroup of the class than usual applications • Interests other students (the class can talk about this with their non math friends) • A problem that students have “intuition” about that can be translated into Mathematical ideas • Outside grading system and enforcer of deadlines (Brackets “lock” at set time.) How it fits into Linear Algebra • Lots of “examples” of ranking in linear algebra texts but not many are realistic to students. • This was a good way to introduce and work with matrix algebra. • Using matrix algebra you can easily scale up to work with relatively large systems. Filling out your bracket • You have to pick a winner for each game • You can do this any way you want • Some people use their “ knowledge” • I know Duke is better than Florida, or Syracuse lost a lot of games at the end of the season so they will probably lose early in the tournament • Some people pick their favorite schools, others like the mascots, the uniforms, the team tattoos… Why rank teams? • If two teams are going to play a game ,the team with the higher rank (#1 is higher than #2) should win. • If there are a limited number of openings in a tournament, teams with higher rankings should be chosen over teams with lower rankings. -
Schaum's Outline of Linear Algebra (4Th Edition)
SCHAUM’S SCHAUM’S outlines outlines Linear Algebra Fourth Edition Seymour Lipschutz, Ph.D. Temple University Marc Lars Lipson, Ph.D. University of Virginia Schaum’s Outline Series New York Chicago San Francisco Lisbon London Madrid Mexico City Milan New Delhi San Juan Seoul Singapore Sydney Toronto Copyright © 2009, 2001, 1991, 1968 by The McGraw-Hill Companies, Inc. All rights reserved. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior writ- ten permission of the publisher. ISBN: 978-0-07-154353-8 MHID: 0-07-154353-8 The material in this eBook also appears in the print version of this title: ISBN: 978-0-07-154352-1, MHID: 0-07-154352-X. All trademarks are trademarks of their respective owners. Rather than put a trademark symbol after every occurrence of a trademarked name, we use names in an editorial fashion only, and to the benefit of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been printed with initial caps. McGraw-Hill eBooks are available at special quantity discounts to use as premiums and sales promotions, or for use in corporate training programs. To contact a representative please e-mail us at [email protected]. TERMS OF USE This is a copyrighted work and The McGraw-Hill Companies, Inc. (“McGraw-Hill”) and its licensors reserve all rights in and to the work. -
FROM HARMONIC ANALYSIS to ARITHMETIC COMBINATORICS: a BRIEF SURVEY the Purpose of This Note Is to Showcase a Certain Line Of
FROM HARMONIC ANALYSIS TO ARITHMETIC COMBINATORICS: A BRIEF SURVEY IZABELLA ÃLABA The purpose of this note is to showcase a certain line of research that connects harmonic analysis, speci¯cally restriction theory, to other areas of mathematics such as PDE, geometric measure theory, combinatorics, and number theory. There are many excellent in-depth presentations of the vari- ous areas of research that we will discuss; see e.g., the references below. The emphasis here will be on highlighting the connections between these areas. Our starting point will be restriction theory in harmonic analysis on Eu- clidean spaces. The main theme of restriction theory, in this context, is the connection between the decay at in¯nity of the Fourier transforms of singu- lar measures and the geometric properties of their support, including (but not necessarily limited to) curvature and dimensionality. For example, the Fourier transform of a measure supported on a hypersurface in Rd need not, in general, belong to any Lp with p < 1, but there are positive results if the hypersurface in question is curved. A classic example is the restriction theory for the sphere, where a conjecture due to E. M. Stein asserts that the Fourier transform maps L1(Sd¡1) to Lq(Rd) for all q > 2d=(d¡1). This has been proved in dimension 2 (Fe®erman-Stein, 1970), but remains open oth- erwise, despite the impressive and often groundbreaking work of Bourgain, Wol®, Tao, Christ, and others. We recommend [8] for a thorough survey of restriction theory for the sphere and other curved hypersurfaces. Restriction-type estimates have been immensely useful in PDE theory; in fact, much of the interest in the subject stems from PDE applications. -
ACT Info for Parent Night Handouts
The following pages contain tips, information, how to buy test back, etc. From ACT.org Carefully read the instructions on the cover of the test booklet. Read the directions for each test carefully. Read each question carefully. Pace yourself—don't spend too much time on a single passage or question. Pay attention to the announcement of five minutes remaining on each test. Use a soft lead No. 2 pencil with a good eraser. Do not use a mechanical pencil or ink pen; if you do, your answer document cannot be scored accurately. Answer the easy questions first, then go back and answer the more difficult ones if you have time remaining on that test. On difficult questions, eliminate as many incorrect answers as you can, then make an educated guess among those remaining. Answer every question. Your scores on the multiple-choice tests are based on the number of questions you answer correctly. There is no penalty for guessing. If you complete a test before time is called, recheck your work on that test. Mark your answers properly. Erase any mark completely and cleanly without smudging. Do not mark or alter any ovals on a test or continue writing the essay after time has been called. If you do, you will be dismissed and your answer document will not be scored. If you are taking the ACT Plus Writing, see these Writing Test tips. Four Parts: English (45 minutes) Math (60 minutes) Reading (35 minutes) Science Reasoning (35 minutes) Content Covered by the ACT Mathematics Test In the Mathematics Test, three subscores are based on six content areas: pre-algebra, elementary algebra, intermediate algebra, coordinate geometry, plane geometry, and trigonometry. -
Problems in Abstract Algebra
STUDENT MATHEMATICAL LIBRARY Volume 82 Problems in Abstract Algebra A. R. Wadsworth 10.1090/stml/082 STUDENT MATHEMATICAL LIBRARY Volume 82 Problems in Abstract Algebra A. R. Wadsworth American Mathematical Society Providence, Rhode Island Editorial Board Satyan L. Devadoss John Stillwell (Chair) Erica Flapan Serge Tabachnikov 2010 Mathematics Subject Classification. Primary 00A07, 12-01, 13-01, 15-01, 20-01. For additional information and updates on this book, visit www.ams.org/bookpages/stml-82 Library of Congress Cataloging-in-Publication Data Names: Wadsworth, Adrian R., 1947– Title: Problems in abstract algebra / A. R. Wadsworth. Description: Providence, Rhode Island: American Mathematical Society, [2017] | Series: Student mathematical library; volume 82 | Includes bibliographical references and index. Identifiers: LCCN 2016057500 | ISBN 9781470435837 (alk. paper) Subjects: LCSH: Algebra, Abstract – Textbooks. | AMS: General – General and miscellaneous specific topics – Problem books. msc | Field theory and polyno- mials – Instructional exposition (textbooks, tutorial papers, etc.). msc | Com- mutative algebra – Instructional exposition (textbooks, tutorial papers, etc.). msc | Linear and multilinear algebra; matrix theory – Instructional exposition (textbooks, tutorial papers, etc.). msc | Group theory and generalizations – Instructional exposition (textbooks, tutorial papers, etc.). msc Classification: LCC QA162 .W33 2017 | DDC 512/.02–dc23 LC record available at https://lccn.loc.gov/2016057500 Copying and reprinting. Individual readers of this publication, and nonprofit libraries acting for them, are permitted to make fair use of the material, such as to copy select pages for use in teaching or research. Permission is granted to quote brief passages from this publication in reviews, provided the customary acknowledgment of the source is given. Republication, systematic copying, or multiple reproduction of any material in this publication is permitted only under license from the American Mathematical Society. -
Pure Mathematics
Why Study Mathematics? Mathematics reveals hidden patterns that help us understand the world around us. Now much more than arithmetic and geometry, mathematics today is a diverse discipline that deals with data, measurements, and observations from science; with inference, deduction, and proof; and with mathematical models of natural phenomena, of human behavior, and social systems. The process of "doing" mathematics is far more than just calculation or deduction; it involves observation of patterns, testing of conjectures, and estimation of results. As a practical matter, mathematics is a science of pattern and order. Its domain is not molecules or cells, but numbers, chance, form, algorithms, and change. As a science of abstract objects, mathematics relies on logic rather than on observation as its standard of truth, yet employs observation, simulation, and even experimentation as means of discovering truth. The special role of mathematics in education is a consequence of its universal applicability. The results of mathematics--theorems and theories--are both significant and useful; the best results are also elegant and deep. Through its theorems, mathematics offers science both a foundation of truth and a standard of certainty. In addition to theorems and theories, mathematics offers distinctive modes of thought which are both versatile and powerful, including modeling, abstraction, optimization, logical analysis, inference from data, and use of symbols. Mathematics, as a major intellectual tradition, is a subject appreciated as much for its beauty as for its power. The enduring qualities of such abstract concepts as symmetry, proof, and change have been developed through 3,000 years of intellectual effort. Like language, religion, and music, mathematics is a universal part of human culture. -
From Arithmetic to Algebra
From arithmetic to algebra Slightly edited version of a presentation at the University of Oregon, Eugene, OR February 20, 2009 H. Wu Why can’t our students achieve introductory algebra? This presentation specifically addresses only introductory alge- bra, which refers roughly to what is called Algebra I in the usual curriculum. Its main focus is on all students’ access to the truly basic part of algebra that an average citizen needs in the high- tech age. The content of the traditional Algebra II course is on the whole more technical and is designed for future STEM students. In place of Algebra II, future non-STEM would benefit more from a mathematics-culture course devoted, for example, to an understanding of probability and data, recently solved famous problems in mathematics, and history of mathematics. At least three reasons for students’ failure: (A) Arithmetic is about computation of specific numbers. Algebra is about what is true in general for all numbers, all whole numbers, all integers, etc. Going from the specific to the general is a giant conceptual leap. Students are not prepared by our curriculum for this leap. (B) They don’t get the foundational skills needed for algebra. (C) They are taught incorrect mathematics in algebra classes. Garbage in, garbage out. These are not independent statements. They are inter-related. Consider (A) and (B): The K–3 school math curriculum is mainly exploratory, and will be ignored in this presentation for simplicity. Grades 5–7 directly prepare students for algebra. Will focus on these grades. Here, abstract mathematics appears in the form of fractions, geometry, and especially negative fractions. -
SE 015 465 AUTHOR TITLE the Content of Arithmetic Included in A
DOCUMENT' RESUME ED 070 656 24 SE 015 465 AUTHOR Harvey, John G. TITLE The Content of Arithmetic Included in a Modern Elementary Mathematics Program. INSTITUTION Wisconsin Univ., Madison. Research and Development Center for Cognitive Learning, SPONS AGENCY National Center for Educational Research and Development (DHEW/OE), Washington, D.C. BUREAU NO BR-5-0216 PUB DATE Oct 71 CONTRACT OEC-5-10-154 NOTE 45p.; Working Paper No. 79 EDRS PRICE MF-$0.65 HC-$3.29 DESCRIPTORS *Arithmetic; *Curriculum Development; *Elementary School Mathematics; Geometric Concepts; *Instruction; *Mathematics Education; Number Concepts; Program Descriptions IDENTIFIERS Number Operations ABSTRACT --- Details of arithmetic topics proposed for inclusion in a modern elementary mathematics program and a rationale for the selection of these topics are given. The sequencing of the topics is discussed. (Author/DT) sJ Working Paper No. 19 The Content of 'Arithmetic Included in a Modern Elementary Mathematics Program U.S DEPARTMENT OF HEALTH, EDUCATION & WELFARE OFFICE OF EDUCATION THIS DOCUMENT HAS SEEN REPRO Report from the Project on Individually Guided OUCED EXACTLY AS RECEIVED FROM THE PERSON OR ORGANIZATION ORIG INATING IT POINTS OF VIEW OR OPIN Elementary Mathematics, Phase 2: Analysis IONS STATED 00 NOT NECESSARILY REPRESENT OFFICIAL OFFICE Of LOU Of Mathematics Instruction CATION POSITION OR POLICY V lb. Wisconsin Research and Development CENTER FOR COGNITIVE LEARNING DIE UNIVERSITY Of WISCONSIN Madison, Wisconsin U.S. Office of Education Corder No. C03 Contract OE 5-10-154 Published by the Wisconsin Research and Development Center for Cognitive Learning, supported in part as a research and development center by funds from the United States Office of Education, Department of Health, Educa- tion, and Welfare.