Character Polynomials

Size: px
Start display at page:

Download "Character Polynomials"

Transcription

1 Character Polynomials

2 Problem From Stanley s Positivity Problems in Algebraic Combinatorics Problem : Give a combinatorial interpretation of the row sums of the character table for S n (combinatorial proof of non-negativity)

3 Symmetric Group S n = permutations of n things Contains n! elements S 3 =permutations of {,,3} (3, 3, 3, 3, 3, 3) Permutations can be represented with n n matrices Character: trace of a matrix representation Character Table: table of all irreducible characters of a group

4 Representations of S 3 vertices of an equilateral triangle

5 Representations of S 3 vertices of an equilateral triangle pick a permutation:

6 Representations of S 3 vertices of an equilateral triangle pick a permutation:

7 Representations of S is 0 CW rotation 3 3 Character = Trace =

8 Character Table for S 3,,, 3 3, 0 -,, -

9 Character Table for S 4 4, 3,

10 Character Polynomials compute characters without matrices depend only on small parts of the cycle type connections to Murnaghan-Nakayama rule, Schur functions

11 Character Table for S 4 4, 3, Sum

12 Character Polynomials Partition Polynomial n n-, a n-, n-, n-3,3 n-3,, n-3, 3 n-4, 4

13 Character Table for S 4 4, 3,

14 Character Polynomials Partition Polynomial n n-, a n-, n-, n-3,3 n-3,, n-3, 3 n-4, 4 a a a (a ) a a a (a )

15 Character Polynomials Partition Polynomial n n-, a n-, n-, n-3,3 n-3,, n-3, 3 n-4, 4 a a a (a ) a a a (a ) a 3 a a a a (a ) a (a )(a ) 6 a 3 a (a ) a (a )(a ) a 3 a 3 a a a a (a ) a (a )(a ) 6 a

16 Character Polynomials Partition Polynomial n n-, a n-, n-, n-3,3 n-3,, n-3, 3 n-4, 4 a a a (a ) a a a (a ) a 3 a a a a (a ) a (a )(a ) 6 a 3 a (a ) a (a )(a ) a 3 a 3 a a a a (a ) a (a )(a ) 6 a a( a ) a( a ) a4 aa3 a a3 aa a ( a )( a )( a 3) a ( a )( a ) a ( a ) a 4 6

17 Generating Functions and Row Sums n0 p(n)x n i x i x (+x+x +x3 +x4 + )(+x +x4 + )(+x3 +x6 + )(+x4 +x8 + )+ i i Can get x 4 from:. x 4,,,. x x 3 3, 3. x 4, 4. x x,, 5. x 4 4 p(4)=5

18 Example: n-, Character Polynomial: a 3 3 ux u x u x ux u ux 3 0 x ux 3u x u 0 xx 3x ux u 3 counts number of s!

19 Example: n-, u ( ux) x( ux) u ( ux) u x ( x) n0 p(n)x n i x i x u ux x x x i i u i i

20 Example: n-, x x x x x n 0 i i 3 p( n) x n ( x x x ) p( n) x n x n a n0 n x p( n ) p( n ) p( n 3) Row Sum= p( n ) p( n ) p( n 3) p( n)

21 Row n p(n) Row Sum Rows Sums n-, p( n ) p( n ) p( n 3) p( n 4) p( n 5) p( n) n-, p( n ) p( n 3) 3 p( n 4) 3 p( n 5) 5 p( n 6) p( n ) n-, p( n) p( n ) p( n 3) p( n 4) 3 p( n 5) 3 p( n 6) p( n ) n-3,3 n-3,, p( n 3) 4 p( n 5) 7 p( n 6) p( n 7) p( n ) p( n ) p( n 4) 5 p( n 5) 0 p( n 6) p( n ) p( n 3) n-3, 3 p( n ) p( n ) p( n 4) p( n 5) 6 p( n 6) p( n)

22 Growth of p(n) p(n-) p(n) p(n-)+p(n-)

23 Row n pn ( ) Row Sum Positivity Rows Sums n-, p( n ) p( n ) p( n 3) p( n 4) p( n 5) p( n) n-, p( n ) p( n 3) 3 p( n 4) 3 p( n 5) 5 p( n 6) p( n ) n-, p( n) p( n ) p( n 3) p( n 4) 3 p( n 5) 3 p( n 6) p( n ) n-3,3 n-3,, p( n 3) 4 p( n 5) 7 p( n 6) p( n 7) p( n ) p( n ) p( n 4) 5 p( n 5) 0 p( n 6) p( n ) p( n 3) n-3, 3 p( n ) p( n ) p( n 4) p( n 5) 6 p( n 6) p( n)

24 Growth of p(n) p(n-) p(n) p(n-)+p(n-) super-polynomial, sub-exponential n0 Q( x) p( n) x n asymptotics good enough to show that finitely many subtracted terms guaranteed to cancel out for n sufficiently large

25 From the bottom up The sum of the last row is the number of self-conjugate partitions of n, call this s(n). Conjugate row obtained by multiplying by bottom row

26 Character Table for S 4 4, 3,

27 From the bottom up The sum of the last row is the number of self-conjugate partitions of n, call this s(n). Conjugate row obtained by multiplying by bottom row n n s( n) x Q( x) s( nx ) 0 ( ) i i n i x n0 For every row sum formula in terms of p(n), the conjugate row has the same formula in terms of s(n). s(n-) s(n) s(n-)+s(n-) for n >

28 Words of Wisdom The worst thing you can do to a problem is to solve it completely because then you have to find something else to work on. Dan Kleitman

Partitions, permutations and posets Péter Csikvári

Partitions, permutations and posets Péter Csikvári Partitions, permutations and posets Péter Csivári In this note I only collect those things which are not discussed in R Stanley s Algebraic Combinatorics boo Partitions For the definition of (number) partition,

More information

Linear Algebra Section 2.6 : LU Decomposition Section 2.7 : Permutations and transposes Wednesday, February 13th Math 301 Week #4

Linear Algebra Section 2.6 : LU Decomposition Section 2.7 : Permutations and transposes Wednesday, February 13th Math 301 Week #4 Linear Algebra Section. : LU Decomposition Section. : Permutations and transposes Wednesday, February 1th Math 01 Week # 1 The LU Decomposition We learned last time that we can factor a invertible matrix

More information

KRONECKER POWERS CHARACTER POLYNOMIALS. A. Goupil, with C. Chauve and A. Garsia,

KRONECKER POWERS CHARACTER POLYNOMIALS. A. Goupil, with C. Chauve and A. Garsia, KRONECKER POWERS AND CHARACTER POLYNOMIALS A. Goupil, with C. Chauve and A. Garsia, Menu Introduction : Kronecker products Tensor powers Character Polynomials Perspective : Duality with product of conjugacy

More information

COMPUTING CHARACTER TABLES OF FINITE GROUPS. Jay Taylor (Università degli Studi di Padova)

COMPUTING CHARACTER TABLES OF FINITE GROUPS. Jay Taylor (Università degli Studi di Padova) COMPUTING CHARACTER TABLES OF FINITE GROUPS Jay Taylor (Università degli Studi di Padova) Symmetry Chemistry Symmetry Symmetry Chemistry Biology Symmetry Chemistry Biology Physics Groups Symmetry Chemistry

More information

Linear Systems of n equations for n unknowns

Linear Systems of n equations for n unknowns Linear Systems of n equations for n unknowns In many application problems we want to find n unknowns, and we have n linear equations Example: Find x,x,x such that the following three equations hold: x

More information

3.4. ZEROS OF POLYNOMIAL FUNCTIONS

3.4. ZEROS OF POLYNOMIAL FUNCTIONS 3.4. ZEROS OF POLYNOMIAL FUNCTIONS What You Should Learn Use the Fundamental Theorem of Algebra to determine the number of zeros of polynomial functions. Find rational zeros of polynomial functions. Find

More information

Generating Functions

Generating Functions Semester 1, 2004 Generating functions Another means of organising enumeration. Two examples we have seen already. Example 1. Binomial coefficients. Let X = {1, 2,..., n} c k = # k-element subsets of X

More information

Section 3.6 Complex Zeros

Section 3.6 Complex Zeros 04 Chapter Section 6 Complex Zeros When finding the zeros of polynomials, at some point you're faced with the problem x = While there are clearly no real numbers that are solutions to this equation, leaving

More information

Chapter Six. Polynomials. Properties of Exponents Algebraic Expressions Addition, Subtraction, and Multiplication Factoring Solving by Factoring

Chapter Six. Polynomials. Properties of Exponents Algebraic Expressions Addition, Subtraction, and Multiplication Factoring Solving by Factoring Chapter Six Polynomials Properties of Exponents Algebraic Expressions Addition, Subtraction, and Multiplication Factoring Solving by Factoring Properties of Exponents The properties below form the basis

More information

Spiral Review Probability, Enter Your Grade Online Quiz - Probability Pascal's Triangle, Enter Your Grade

Spiral Review Probability, Enter Your Grade Online Quiz - Probability Pascal's Triangle, Enter Your Grade Course Description This course includes an in-depth analysis of algebraic problem solving preparing for College Level Algebra. Topics include: Equations and Inequalities, Linear Relations and Functions,

More information

Chapter 5: Integer Compositions and Partitions and Set Partitions

Chapter 5: Integer Compositions and Partitions and Set Partitions Chapter 5: Integer Compositions and Partitions and Set Partitions Prof. Tesler Math 184A Winter 2017 Prof. Tesler Ch. 5: Compositions and Partitions Math 184A / Winter 2017 1 / 32 5.1. Compositions A strict

More information

CS2800 Fall 2013 October 23, 2013

CS2800 Fall 2013 October 23, 2013 Discrete Structures Stirling Numbers CS2800 Fall 203 October 23, 203 The text mentions Stirling numbers briefly but does not go into them in any depth. However, they are fascinating numbers with a lot

More information

How do we analyze, evaluate, solve, and graph quadratic functions?

How do we analyze, evaluate, solve, and graph quadratic functions? Topic: 4. Quadratic Functions and Factoring Days: 18 Key Learning: Students will be able to analyze, evaluate, solve and graph quadratic functions. Unit Essential Question(s): How do we analyze, evaluate,

More information

Chapter 5: Integer Compositions and Partitions and Set Partitions

Chapter 5: Integer Compositions and Partitions and Set Partitions Chapter 5: Integer Compositions and Partitions and Set Partitions Prof. Tesler Math 184A Fall 2017 Prof. Tesler Ch. 5: Compositions and Partitions Math 184A / Fall 2017 1 / 46 5.1. Compositions A strict

More information

Chapter 9 Notes SN AA U2C9

Chapter 9 Notes SN AA U2C9 Chapter 9 Notes SN AA U2C9 Name Period Section 2-3: Direct Variation Section 9-1: Inverse Variation Two variables x and y show direct variation if y = kx for some nonzero constant k. Another kind of variation

More information

Polynomial analogues of Ramanujan congruences for Han s hooklength formula

Polynomial analogues of Ramanujan congruences for Han s hooklength formula Polynomial analogues of Ramanujan congruences for Han s hooklength formula William J. Keith CELC, University of Lisbon Email: william.keith@gmail.com Detailed arxiv preprint: 1109.1236 Context Partition

More information

- 1 - Items related to expected use of technology appear in bold italics.

- 1 - Items related to expected use of technology appear in bold italics. - 1 - Items related to expected use of technology appear in bold italics. Operating with Geometric and Cartesian Vectors Determining Intersections of Lines and Planes in Three- Space Similar content as

More information

Determinants. Copyright c 2012 Dan Nettleton (Iowa State University) Statistics / 25

Determinants. Copyright c 2012 Dan Nettleton (Iowa State University) Statistics / 25 Determinants opyright c 2012 Dan Nettleton (Iowa State University) Statistics 611 1 / 25 Notation The determinant of a square matrix n n A is denoted det(a) or A. opyright c 2012 Dan Nettleton (Iowa State

More information

Ron Paul Curriculum Mathematics 8 Lesson List

Ron Paul Curriculum Mathematics 8 Lesson List Ron Paul Curriculum Mathematics 8 Lesson List 1 Introduction 2 Algebraic Addition 3 Algebraic Subtraction 4 Algebraic Multiplication 5 Week 1 Review 6 Algebraic Division 7 Powers and Exponents 8 Order

More information

Chapter 2 Notes, Linear Algebra 5e Lay

Chapter 2 Notes, Linear Algebra 5e Lay Contents.1 Operations with Matrices..................................1.1 Addition and Subtraction.............................1. Multiplication by a scalar............................ 3.1.3 Multiplication

More information

Chapter 6: Rational Expr., Eq., and Functions Lecture notes Math 1010

Chapter 6: Rational Expr., Eq., and Functions Lecture notes Math 1010 Section 6.1: Rational Expressions and Functions Definition of a rational expression Let u and v be polynomials. The algebraic expression u v is a rational expression. The domain of this rational expression

More information

SPECIAL POINTS AND LINES OF ALGEBRAIC SURFACES

SPECIAL POINTS AND LINES OF ALGEBRAIC SURFACES SPECIAL POINTS AND LINES OF ALGEBRAIC SURFACES 1. Introduction As we have seen many times in this class we can encode combinatorial information about points and lines in terms of algebraic surfaces. Looking

More information

Outline. The Distance Spectra of Cayley Graphs of Coxeter Groups. Finite Reflection Group. Root Systems. Reflection/Coxeter Groups.

Outline. The Distance Spectra of Cayley Graphs of Coxeter Groups. Finite Reflection Group. Root Systems. Reflection/Coxeter Groups. The Distance Spectra of of Coxeter Groups Paul Renteln 1 Department of Physics California State University San Bernardino 2 Department of Mathematics California Institute of Technology ECNU, Shanghai June

More information

Scope and Sequence Mathematics Algebra 2 400

Scope and Sequence Mathematics Algebra 2 400 Scope and Sequence Mathematics Algebra 2 400 Description : Students will study real numbers, complex numbers, functions, exponents, logarithms, graphs, variation, systems of equations and inequalities,

More information

Conceptual Questions for Review

Conceptual Questions for Review Conceptual Questions for Review Chapter 1 1.1 Which vectors are linear combinations of v = (3, 1) and w = (4, 3)? 1.2 Compare the dot product of v = (3, 1) and w = (4, 3) to the product of their lengths.

More information

A Conjectured Combinatorial Interpretation of the Normalized Irreducible Character Values of the Symmetric Group

A Conjectured Combinatorial Interpretation of the Normalized Irreducible Character Values of the Symmetric Group A Conjectured Combinatorial Interpretation of the Normalized Irreducible Character Values of the Symmetric Group Richard P. Stanley Department of Mathematics, Massachusetts Institute of Technology Cambridge,

More information

Algebra II. A2.1.1 Recognize and graph various types of functions, including polynomial, rational, and algebraic functions.

Algebra II. A2.1.1 Recognize and graph various types of functions, including polynomial, rational, and algebraic functions. Standard 1: Relations and Functions Students graph relations and functions and find zeros. They use function notation and combine functions by composition. They interpret functions in given situations.

More information

and Other Combinatorial Reciprocity Instances

and Other Combinatorial Reciprocity Instances and Other Combinatorial Reciprocity Instances Matthias Beck San Francisco State University math.sfsu.edu/beck [Courtney Gibbons] Act 1: Binomial Coefficients Not everything that can be counted counts,

More information

Supplemental Worksheet Problems To Accompany: The Pre-Algebra Tutor: Volume 2 Section 16 Solving Single Step Equations

Supplemental Worksheet Problems To Accompany: The Pre-Algebra Tutor: Volume 2 Section 16 Solving Single Step Equations Supplemental Worksheet Problems To Accompany: The Pre-Algebra Tutor: Volume 2 Please watch Section 16 of this DVD before working these problems. The DVD is located at: http://www.mathtutordvd.com/products/item67.cfm

More information

Matrix decompositions

Matrix decompositions Matrix decompositions How can we solve Ax = b? 1 Linear algebra Typical linear system of equations : x 1 x +x = x 1 +x +9x = 0 x 1 +x x = The variables x 1, x, and x only appear as linear terms (no powers

More information

A Generalized Algorithm for Computing Matching Polynomials using Determinants. Asa Scherer

A Generalized Algorithm for Computing Matching Polynomials using Determinants. Asa Scherer A Generalized Algorithm for Computing Matching Polynomials using Determinants Asa Scherer April 17, 2007 Abstract We discuss the connection between determinants of modified matching matrices and the matching

More information

How to write polynomials in standard form How to add, subtract, and multiply polynomials How to use special products to multiply polynomials

How to write polynomials in standard form How to add, subtract, and multiply polynomials How to use special products to multiply polynomials PRC Ch P_3.notebook How to write polynomials in standard form How to add, subtract, and multiply polynomials How to use special products to multiply polynomials How to remove common factors from polynomials

More information

A196837: Ordinary Generating Functions for Sums of Powers of the First n Positive Integers

A196837: Ordinary Generating Functions for Sums of Powers of the First n Positive Integers Karlsruhe October 14, 2011 November 1, 2011 A196837: Ordinary Generating Functions for Sums of Powers of the First n Positive Integers Wolfdieter L a n g 1 The sum of the k th power of the first n positive

More information

Algebra 2 Matrices. Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Find.

Algebra 2 Matrices. Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Find. Algebra 2 Matrices Review Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Find. Evaluate the determinant of the matrix. 2. 3. A matrix contains 48 elements.

More information

Mathematics Online Instructional Materials Correlation to the 2009 Algebra II Standards of Learning and Curriculum Framework

Mathematics Online Instructional Materials Correlation to the 2009 Algebra II Standards of Learning and Curriculum Framework and Curriculum Framework Provider York County School Division Course Title Algebra II AB Last Updated 2010-11 Course Syllabus URL http://yorkcountyschools.org/virtuallearning/coursecatalog.aspx AII.1 The

More information

2x + 5 = x = x = 4

2x + 5 = x = x = 4 98 CHAPTER 3 Algebra Textbook Reference Section 5.1 3.3 LINEAR EQUATIONS AND INEQUALITIES Student CD Section.5 CLAST OBJECTIVES Solve linear equations and inequalities Solve a system of two linear equations

More information

Galois fields/1. (M3) There is an element 1 (not equal to 0) such that a 1 = a for all a.

Galois fields/1. (M3) There is an element 1 (not equal to 0) such that a 1 = a for all a. Galois fields 1 Fields A field is an algebraic structure in which the operations of addition, subtraction, multiplication, and division (except by zero) can be performed, and satisfy the usual rules. More

More information

Instructional Units Plan Algebra II

Instructional Units Plan Algebra II Instructional Units Plan Algebra II This set of plans presents the topics and selected for ACT s rigorous Algebra II course. The topics and standards are arranged in ten units by suggested instructional

More information

Generating Functions

Generating Functions 8.30 lecture notes March, 0 Generating Functions Lecturer: Michel Goemans We are going to discuss enumeration problems, and how to solve them using a powerful tool: generating functions. What is an enumeration

More information

3.3 Dividing Polynomials. Copyright Cengage Learning. All rights reserved.

3.3 Dividing Polynomials. Copyright Cengage Learning. All rights reserved. 3.3 Dividing Polynomials Copyright Cengage Learning. All rights reserved. Objectives Long Division of Polynomials Synthetic Division The Remainder and Factor Theorems 2 Dividing Polynomials In this section

More information

Figure 1. Symmetries of an equilateral triangle

Figure 1. Symmetries of an equilateral triangle 1. Groups Suppose that we take an equilateral triangle and look at its symmetry group. There are two obvious sets of symmetries. First one can rotate the triangle through 120. Suppose that we choose clockwise

More information

Quantile Textbook Report

Quantile Textbook Report Quantile Textbook Report Algebra 2 Author Charles, Randall I., et al StateEdition West Virginia Grade Algebra 2 1 Expressions, Equations, and Inequalities 1.1 Patterns and Expressions 930Q 1.2 Properties

More information

Definition (The carefully thought-out calculus version based on limits).

Definition (The carefully thought-out calculus version based on limits). 4.1. Continuity and Graphs Definition 4.1.1 (Intuitive idea used in algebra based on graphing). A function, f, is continuous on the interval (a, b) if the graph of y = f(x) can be drawn over the interval

More information

Generating Function Notes , Fall 2005, Prof. Peter Shor

Generating Function Notes , Fall 2005, Prof. Peter Shor Counting Change Generating Function Notes 80, Fall 00, Prof Peter Shor In this lecture, I m going to talk about generating functions We ve already seen an example of generating functions Recall when we

More information

Dividing Polynomials: Remainder and Factor Theorems

Dividing Polynomials: Remainder and Factor Theorems Dividing Polynomials: Remainder and Factor Theorems When we divide one polynomial by another, we obtain a quotient and a remainder. If the remainder is zero, then the divisor is a factor of the dividend.

More information

More about partitions

More about partitions Partitions 2.4, 3.4, 4.4 02 More about partitions 3 + +, + 3 +, and + + 3 are all the same partition, so we will write the numbers in non-increasing order. We use greek letters to denote partitions, often

More information

d. What are the steps for finding the y intercepts algebraically?(hint: what is equal to 0?)

d. What are the steps for finding the y intercepts algebraically?(hint: what is equal to 0?) st Semester Pre Calculus Exam Review You will not receive hints on your exam. Make certain you know how to answer each of the following questions. This is a test grade. Your WORK and EXPLANATIONS are graded

More information

Chapter 6. Polynomials

Chapter 6. Polynomials Chapter 6 Polynomials How to Play the Stock Market 6.1 Monomials: Multiplication and Division 6.2 Polynomials 6.3 Addition and Subtraction of Polynomials 6.4 Multiplication of Polynomials Chapter Review

More information

This image cannot currently be displayed. Course Catalog. Algebra II Glynlyon, Inc.

This image cannot currently be displayed. Course Catalog. Algebra II Glynlyon, Inc. This image cannot currently be displayed. Course Catalog Algebra II 2016 Glynlyon, Inc. Table of Contents COURSE OVERVIEW... 1 UNIT 1: SET, STRUCTURE, AND FUNCTION... 1 UNIT 2: NUMBERS, SENTENCES, AND

More information

The Research- Driven Solution to Raise the Quality of High School Core Courses. Algebra I I. Instructional Units Plan

The Research- Driven Solution to Raise the Quality of High School Core Courses. Algebra I I. Instructional Units Plan The Research- Driven Solution to Raise the Quality of High School Core Courses Algebra I I Instructional Units Plan Instructional Units Plan Algebra II This set of plans presents the topics and selected

More information

Contents. CHAPTER P Prerequisites 1. CHAPTER 1 Functions and Graphs 69. P.1 Real Numbers 1. P.2 Cartesian Coordinate System 14

Contents. CHAPTER P Prerequisites 1. CHAPTER 1 Functions and Graphs 69. P.1 Real Numbers 1. P.2 Cartesian Coordinate System 14 CHAPTER P Prerequisites 1 P.1 Real Numbers 1 Representing Real Numbers ~ Order and Interval Notation ~ Basic Properties of Algebra ~ Integer Exponents ~ Scientific Notation P.2 Cartesian Coordinate System

More information

KMHS Mathematics Department. Algebra 2

KMHS Mathematics Department. Algebra 2 KMHS Mathematics Department Algebra 2 Chapter 1 Polynomials Section 1 Adding and Subtracting with Polynomials 2 Section 2 Multiplying with Polynomials 3 Section 3 Simplifying Algebraic Expressions Follow

More information

[Disclaimer: This is not a complete list of everything you need to know, just some of the topics that gave people difficulty.]

[Disclaimer: This is not a complete list of everything you need to know, just some of the topics that gave people difficulty.] Math 43 Review Notes [Disclaimer: This is not a complete list of everything you need to know, just some of the topics that gave people difficulty Dot Product If v (v, v, v 3 and w (w, w, w 3, then the

More information

Curriculum Catalog

Curriculum Catalog 2017-2018 Curriculum Catalog 2017 Glynlyon, Inc. Table of Contents ALGEBRA II FUNDAMENTALS COURSE OVERVIEW... 1 UNIT 1: SET, STRUCTURE, AND FUNCTION... 1 UNIT 2: NUMBERS, SENTENCES, AND PROBLEMS... 1 UNIT

More information

Counting the number of isosceles triangles in rectangular regular grids

Counting the number of isosceles triangles in rectangular regular grids Counting the number of isosceles triangles in rectangular regular grids arxiv:1605.00180v5 [math.co] 6 Feb 017 Chai Wah Wu IBM T. J. Watson Research Center P. O. Box 18, Yorktown Heights, New York 10598,

More information

Instructional Unit Conic Sections Pre Calculus #312 Unit Content Objective Performance Performance Task State Standards

Instructional Unit Conic Sections Pre Calculus #312 Unit Content Objective Performance Performance Task State Standards Instructional Unit Conic Sections Conic Sections The student will be -Define conic sections -Homework 2.8.11E -Ellipses able to create conic as conic slices and -Classwork -Hyperbolas sections based on

More information

Curriculum Guide Algebra 2 Advanced

Curriculum Guide Algebra 2 Advanced Unit 1: Equations and Inequalities Biblical Worldview Essential Questions: Is your life balanced as a believer? Are you a real Christian? 13 Lessons A2#1, A2#2 1. Use a number line to graph and order real

More information

Learning Module 1 - Basic Algebra Review (Appendix A)

Learning Module 1 - Basic Algebra Review (Appendix A) Learning Module 1 - Basic Algebra Review (Appendix A) Element 1 Real Numbers and Operations on Polynomials (A.1, A.2) Use the properties of real numbers and work with subsets of the real numbers Determine

More information

Appendix to: Generalized Stability of Kronecker Coefficients. John R. Stembridge. 14 August 2014

Appendix to: Generalized Stability of Kronecker Coefficients. John R. Stembridge. 14 August 2014 Appendix to: Generalized Stability of Kronecker Coefficients John R. Stembridge 14 August 2014 Contents A. Line reduction B. Complementation C. On rectangles D. Kronecker coefficients and Gaussian coefficients

More information

Matrix decompositions

Matrix decompositions Matrix decompositions How can we solve Ax = b? 1 Linear algebra Typical linear system of equations : x 1 x +x = x 1 +x +9x = 0 x 1 +x x = The variables x 1, x, and x only appear as linear terms (no powers

More information

Chapter 2 Formulas and Definitions:

Chapter 2 Formulas and Definitions: Chapter 2 Formulas and Definitions: (from 2.1) Definition of Polynomial Function: Let n be a nonnegative integer and let a n,a n 1,...,a 2,a 1,a 0 be real numbers with a n 0. The function given by f (x)

More information

Application of the Representation Theory of Symmetric Groups for the Computation of Chromatic Polynomials of Graphs

Application of the Representation Theory of Symmetric Groups for the Computation of Chromatic Polynomials of Graphs Application of the Representation Theory of Symmetric Groups for the Computation of Chromatic Polynomials of Graphs Mikhail Klin Christian Pech 1 Department of Mathematics Ben Gurion University of the

More information

Generating Functions (Revised Edition)

Generating Functions (Revised Edition) Math 700 Fall 06 Notes Generating Functions (Revised Edition What is a generating function? An ordinary generating function for a sequence (a n n 0 is the power series A(x = a nx n. The exponential generating

More information

A MARKOV CHAIN ON THE SYMMETRIC GROUP WHICH IS SCHUBERT POSITIVE?

A MARKOV CHAIN ON THE SYMMETRIC GROUP WHICH IS SCHUBERT POSITIVE? A MARKOV CHAIN ON THE SYMMETRIC GROUP WHICH IS SCHUBERT POSITIVE? THOMAS LAM AND LAUREN WILLIAMS Abstract. We study a multivariate Markov chain on the symmetric group with remarkable enumerative properties.

More information

Chapter 1.6. Perform Operations with Complex Numbers

Chapter 1.6. Perform Operations with Complex Numbers Chapter 1.6 Perform Operations with Complex Numbers EXAMPLE Warm-Up 1 Exercises Solve a quadratic equation Solve 2x 2 + 11 = 37. 2x 2 + 11 = 37 2x 2 = 48 Write original equation. Subtract 11 from each

More information

Prentice Hall: Algebra 2 with Trigonometry 2006 Correlated to: California Mathematics Content Standards for Algebra II (Grades 9-12)

Prentice Hall: Algebra 2 with Trigonometry 2006 Correlated to: California Mathematics Content Standards for Algebra II (Grades 9-12) California Mathematics Content Standards for Algebra II (Grades 9-12) This discipline complements and expands the mathematical content and concepts of algebra I and geometry. Students who master algebra

More information

) = nlog b ( m) ( m) log b ( ) ( ) = log a b ( ) Algebra 2 (1) Semester 2. Exponents and Logarithmic Functions

) = nlog b ( m) ( m) log b ( ) ( ) = log a b ( ) Algebra 2 (1) Semester 2. Exponents and Logarithmic Functions Exponents and Logarithmic Functions Algebra 2 (1) Semester 2! a. Graph exponential growth functions!!!!!! [7.1]!! - y = ab x for b > 0!! - y = ab x h + k for b > 0!! - exponential growth models:! y = a(

More information

MATH 320, WEEK 11: Eigenvalues and Eigenvectors

MATH 320, WEEK 11: Eigenvalues and Eigenvectors MATH 30, WEEK : Eigenvalues and Eigenvectors Eigenvalues and Eigenvectors We have learned about several vector spaces which naturally arise from matrix operations In particular, we have learned about the

More information

arxiv: v1 [math.co] 23 Feb 2012

arxiv: v1 [math.co] 23 Feb 2012 HOW TO WRITE A PERMUTATION AS A PRODUCT OF INVOLUTIONS (AND WHY YOU MIGHT CARE) T. KYLE PETERSEN AND BRIDGET EILEEN TENNER arxiv:0.9v [math.co] Feb 0 Abstract. It is well-known that any permutation can

More information

Lecture 2: Mutually Orthogonal Latin Squares and Finite Fields

Lecture 2: Mutually Orthogonal Latin Squares and Finite Fields Latin Squares Instructor: Padraic Bartlett Lecture 2: Mutually Orthogonal Latin Squares and Finite Fields Week 2 Mathcamp 2012 Before we start this lecture, try solving the following problem: Question

More information

Linear Algebra Linear Algebra : Matrix decompositions Monday, February 11th Math 365 Week #4

Linear Algebra Linear Algebra : Matrix decompositions Monday, February 11th Math 365 Week #4 Linear Algebra Linear Algebra : Matrix decompositions Monday, February 11th Math Week # 1 Saturday, February 1, 1 Linear algebra Typical linear system of equations : x 1 x +x = x 1 +x +9x = 0 x 1 +x x

More information

Prentice Hall Mathematics, Algebra Correlated to: Achieve American Diploma Project Algebra II End-of-Course Exam Content Standards

Prentice Hall Mathematics, Algebra Correlated to: Achieve American Diploma Project Algebra II End-of-Course Exam Content Standards Core: Operations on Numbers and Expressions Priority: 15% Successful students will be able to perform operations with rational, real, and complex numbers, using both numeric and algebraic expressions,

More information

NORTHWESTERN UNIVERSITY Thrusday, Oct 6th, 2011 ANSWERS FALL 2011 NU PUTNAM SELECTION TEST

NORTHWESTERN UNIVERSITY Thrusday, Oct 6th, 2011 ANSWERS FALL 2011 NU PUTNAM SELECTION TEST Problem A1. Let a 1, a 2,..., a n be n not necessarily distinct integers. exist a subset of these numbers whose sum is divisible by n. Prove that there - Answer: Consider the numbers s 1 = a 1, s 2 = a

More information

THE PYTHAGOREAN THEOREM

THE PYTHAGOREAN THEOREM THE STORY SO FAR THE PYTHAGOREAN THEOREM USES OF THE PYTHAGOREAN THEOREM USES OF THE PYTHAGOREAN THEOREM SOLVE RIGHT TRIANGLE APPLICATIONS USES OF THE PYTHAGOREAN THEOREM SOLVE RIGHT TRIANGLE APPLICATIONS

More information

Announcements Wednesday, November 7

Announcements Wednesday, November 7 Announcements Wednesday, November 7 The third midterm is on Friday, November 16 That is one week from this Friday The exam covers 45, 51, 52 53, 61, 62, 64, 65 (through today s material) WeBWorK 61, 62

More information

(x + 1)(x 2) = 4. x

(x + 1)(x 2) = 4. x dvanced Integration Techniques: Partial Fractions The method of partial fractions can occasionally make it possible to find the integral of a quotient of rational functions. Partial fractions gives us

More information

This section is an introduction to the basic themes of the course.

This section is an introduction to the basic themes of the course. Chapter 1 Matrices and Graphs 1.1 The Adjacency Matrix This section is an introduction to the basic themes of the course. Definition 1.1.1. A simple undirected graph G = (V, E) consists of a non-empty

More information

Pre-Calculus Chapter 0. Solving Equations and Inequalities 0.1 Solving Equations with Absolute Value 0.2 Solving Quadratic Equations

Pre-Calculus Chapter 0. Solving Equations and Inequalities 0.1 Solving Equations with Absolute Value 0.2 Solving Quadratic Equations Pre-Calculus Chapter 0. Solving Equations and Inequalities 0.1 Solving Equations with Absolute Value 0.1.1 Solve Simple Equations Involving Absolute Value 0.2 Solving Quadratic Equations 0.2.1 Use the

More information

HOMEWORK PROBLEMS FROM STRANG S LINEAR ALGEBRA AND ITS APPLICATIONS (4TH EDITION)

HOMEWORK PROBLEMS FROM STRANG S LINEAR ALGEBRA AND ITS APPLICATIONS (4TH EDITION) HOMEWORK PROBLEMS FROM STRANG S LINEAR ALGEBRA AND ITS APPLICATIONS (4TH EDITION) PROFESSOR STEVEN MILLER: BROWN UNIVERSITY: SPRING 2007 1. CHAPTER 1: MATRICES AND GAUSSIAN ELIMINATION Page 9, # 3: Describe

More information

Solutions to Example Sheet 1

Solutions to Example Sheet 1 Solutions to Example Sheet 1 1 The symmetric group S 3 acts on R 2, by permuting the vertices of an equilateral triangle centered at 0 Choose a basis of R 2, and for each g S 3, write the matrix of g in

More information

NAME MATH 304 Examination 2 Page 1

NAME MATH 304 Examination 2 Page 1 NAME MATH 4 Examination 2 Page. [8 points (a) Find the following determinant. However, use only properties of determinants, without calculating directly (that is without expanding along a column or row

More information

correlated to the Washington D.C. Public Schools Learning Standards Algebra II

correlated to the Washington D.C. Public Schools Learning Standards Algebra II correlated to the Washington D.C. Public Schools Learning Standards Algebra II McDougal Littell Algebra 2 2007 correlated to the Washington DC Public Schools Learning Standards Algebra II NUMBER SENSE

More information

Algebra II Scope and Sequence

Algebra II Scope and Sequence 1 st Grading Period (8 weeks) Linear Equations Algebra I Review (A.3A,A.4B) Properties of real numbers Simplifying expressions Simplifying Radicals New -Transforming functions (A.7C) Moving the Monster

More information

2005 Palm Harbor February Invitational Algebra II Answer Key

2005 Palm Harbor February Invitational Algebra II Answer Key 005 Palm Harbor February Invitational Algebra II Answer Key Individual. D. C. B 4. A 5. E 6. B 7. E 8. B 9. D 0. A. B. D. C 4. C 5. A 6. C 7. B 8. C 9. E 0. D. A. B. B 4. C 5. E 6. B 7. A 8. D 9. A 0.

More information

3.5 Solving Equations Involving Integers II

3.5 Solving Equations Involving Integers II 208 CHAPTER 3. THE FUNDAMENTALS OF ALGEBRA 3.5 Solving Equations Involving Integers II We return to solving equations involving integers, only this time the equations will be a bit more advanced, requiring

More information

Secondary Honors Algebra II Objectives

Secondary Honors Algebra II Objectives Secondary Honors Algebra II Objectives Chapter 1 Equations and Inequalities Students will learn to evaluate and simplify numerical and algebraic expressions, to solve linear and absolute value equations

More information

Young s Natural Representations of S 4

Young s Natural Representations of S 4 Young s Natural Representations of S Quinton Westrich arxiv:111.0687v1 [math.rt] Dec 011 December 008 Abstract We calculate all inequivalent irreducible representations of S by specifying the matrices

More information

MODEL ANSWERS TO THE THIRD HOMEWORK

MODEL ANSWERS TO THE THIRD HOMEWORK MODEL ANSWERS TO THE THIRD HOMEWORK 1 (i) We apply Gaussian elimination to A First note that the second row is a multiple of the first row So we need to swap the second and third rows 1 3 2 1 2 6 5 7 3

More information

Functions: Polynomial, Rational, Exponential

Functions: Polynomial, Rational, Exponential Functions: Polynomial, Rational, Exponential MATH 151 Calculus for Management J. Robert Buchanan Department of Mathematics Spring 2014 Objectives In this lesson we will learn to: identify polynomial expressions,

More information

Practice Calculus Test without Trig

Practice Calculus Test without Trig Practice Calculus Test without Trig The problems here are similar to those on the practice test Slight changes have been made 1 What is the domain of the function f (x) = 3x 1? Express the answer in interval

More information

Algebraic Number Theory and Representation Theory

Algebraic Number Theory and Representation Theory Algebraic Number Theory and Representation Theory MIT PRIMES Reading Group Jeremy Chen and Tom Zhang (mentor Robin Elliott) December 2017 Jeremy Chen and Tom Zhang (mentor Robin Algebraic Elliott) Number

More information

Harbor Creek School District. Algebra II Advanced. Concepts Timeframe Skills Assessment Standards Linear Equations Inequalities

Harbor Creek School District. Algebra II Advanced. Concepts Timeframe Skills Assessment Standards Linear Equations Inequalities Algebra II Advanced and Graphing and Solving Linear Linear Absolute Value Relation vs. Standard Forms of Linear Slope Parallel & Perpendicular Lines Scatterplot & Linear Regression Graphing linear Absolute

More information

Assignment 3. A tutorial on the applications of discrete groups.

Assignment 3. A tutorial on the applications of discrete groups. Assignment 3 Given January 16, Due January 3, 015. A tutorial on the applications of discrete groups. Consider the group C 3v which is the cyclic group with three elements, C 3, augmented by a reflection

More information

ALGEBRA AND TRIGONOMETRY

ALGEBRA AND TRIGONOMETRY ALGEBRA AND TRIGONOMETRY correlated to the Alabama Course of Study for Algebra 2 with Trigonometry CC2 6/2003 2004 Algebra and Trigonometry 2004 correlated to the Number and Operations Students will: 1.

More information

Determinantal Identities for Modular Schur Symmetric Functions

Determinantal Identities for Modular Schur Symmetric Functions Determinantal Identities for Modular Schur Symmetric Functions by A.M. Hamel Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand No. 129 July, 1995 MR Classification

More information

1. Introduction to commutative rings and fields

1. Introduction to commutative rings and fields 1. Introduction to commutative rings and fields Very informally speaking, a commutative ring is a set in which we can add, subtract and multiply elements so that the usual laws hold. A field is a commutative

More information

Combinatorics for algebraic geometers

Combinatorics for algebraic geometers Combinatorics for algebraic geometers Calculations in enumerative geometry Maria Monks March 17, 214 Motivation Enumerative geometry In the late 18 s, Hermann Schubert investigated problems in what is

More information

Algebra I. CORE TOPICS (Key Concepts & Real World Context) UNIT TITLE

Algebra I. CORE TOPICS (Key Concepts & Real World Context) UNIT TITLE CHAPTER 1 Using variables Exponents and Order of Operations Exploring real numbers Adding real numbers Subtracting real numbers Multiplying and dividing real numbers The Distributive Property Properties

More information

Spectral Graph Theory Lecture 3. Fundamental Graphs. Daniel A. Spielman September 5, 2018

Spectral Graph Theory Lecture 3. Fundamental Graphs. Daniel A. Spielman September 5, 2018 Spectral Graph Theory Lecture 3 Fundamental Graphs Daniel A. Spielman September 5, 2018 3.1 Overview We will bound and derive the eigenvalues of the Laplacian matrices of some fundamental graphs, including

More information

Eigenvalues and Eigenvectors: An Introduction

Eigenvalues and Eigenvectors: An Introduction Eigenvalues and Eigenvectors: An Introduction The eigenvalue problem is a problem of considerable theoretical interest and wide-ranging application. For example, this problem is crucial in solving systems

More information