A Summary of Inquiry-Based Approach to Abstract Algebra by Dana C. Ernst

An Inquiry-Based Approach to Abstract Algebra

General Information

  • Authored by Dana C. Ernst, PhD, Northern Arizona University, Fall 2021.
  • The material is designed as a task sequence for an undergraduate abstract algebra course using an inquiry-based learning (IBL) approach.
  • The latest version is available on GitHub: http://dcernst.github.io/IBL-AbstractAlgebra/
  • The work is licensed under the Creative Commons Attribution-Share Alike 4.0 United States License.
  • Attribution: Dana C. Ernst, Mathematics Faculty at Northern Arizona University, dana.ernst@nau.edu.
  • License details: https://creativecommons.org/licenses/by-sa/4.0/

Contents Overview

  • Preface: Focuses on ideas over calculations, mathematical discovery, rigorous thinking, beauty, elegance, and aesthetic value in mathematics. Stresses producing rather than consuming knowledge and developing independent, inquisitive, and persistent problem solvers.
  • Acknowledgements: Lists contributors who provided feedback or content.
  • Chapter 1: Introduction
    • 1.1 What is Abstract Algebra?: Defines abstract algebra as the study of algebraic structures like groups, rings, fields, modules, vector spaces, and algebras, with a focus on group theory.
    • 1.2 What Should You Expect?: Highlights the shift from using formulas to mathematical experimentation, conjecture, definition writing, and theorem proving. Emphasizes producing and discovering mathematics through wrestling with mathematical ideas.
    • 1.3 An Inquiry-Based Approach: Describes inquiry-based learning (IBL) as a student-centered method engaging students in sense-making activities and creating or discovering mathematics.
      • IBL involves solving problems, conjecturing, experimenting, exploring, creating, and communicating.
      • Four Pillars of IBL:
        • Deep engagement with meaningful tasks.
        • Collaborative processing of mathematical ideas.
        • Instructor inquiry into student thinking.
        • Promotion of equity in design and facilitation.
    • 1.4 Structure of the Textbook: Explains the use of definitions, examples, problems, theorems, and corollaries to promote active engagement and discovery.
    • 1.5 Some Minimal Guidance: Provides guidelines for writing mathematical proofs, including stating assumptions clearly, writing in complete sentences, referencing definitions, and indicating the beginning and end of proofs.
  • Chapter 2: An Introduction to Groups
    • 2.1 A First Example: Introduces group theory using the game Spinpossible™ on a 3x3 board.
      • sijs_{ij} denotes the spin that rotates the subrectangle with position ii in the upper-left corner and position jj in the lower-right corner.
      • The primary observations about Spin3×3Spin_{3 \times 3}:
        • The set of spins generates Spin3×3Spin_{3 \times 3}.
        • The composition of any two net actions from Spin<em>3×3Spin<em>{3 \times 3} results in a net action from Spin</em>3×3Spin</em>{3 \times 3}.
        • The composition of net actions from Spin3×3Spin_{3 \times 3} is associative.
        • There is an identity in Spin3×3Spin_{3 \times 3} whose corresponding net action is “do nothing.”
        • Every net action from Spin<em>3×3Spin<em>{3 \times 3} has an inverse net action in Spin</em>3×3Spin</em>{3 \times 3}. Composing a net action and its inverse results in the identity.
        • The composition of two net actions from Spin3×3Spin_{3 \times 3} may or may not commute.
    • 2.2 Binary Operations: Defines a binary operation on a set AA as a function from A×AA \times A into AA.
    • 2.3 Groups: Definition of a group (G,)(G,*), axioms, and key properties.
      • Axioms include:
        • Closure under \ast.
        • Associativity of \ast.
        • Existence of an identity element ee.
        • Existence of inverses for all elements.
      • The order of GG, denoted G|G|, is the cardinality of the set GG.
      • If \ast is commutative, then GG is abelian.
      • Theorem 2.37: If GG is a group, then there is a unique identity element in GG.
      • Theorem 2.39 (Cancellation Law): Let GG be a group and let g,x,yGg, x,y \in G. Then gx=gygx = gy if and only if x=yx = y
      • Theorem 2.41: If GG is a group, then each gGg \in G has a unique inverse.
      • Theorem 2.44: If GG is a group, then (gh)1=h1g1(gh)^{-1} = h^{-1}g^{-1} for all g,hGg, h \in G.
      • Definition 2.45: introduces multiplicative notation for integer powers of a group element gg including negative powers and g0=eg^0=e.
      • Theorem 2.47: If GG is a group and gGg \in G, then for all n,mZn,m \in \mathbb{Z}, we have:
        • gngm=gn+mg^ng^m = g^{n+m},
        • (gn)1=gn(g^n)^{-1} = g^{-n},
        • (gn)m=gnm(g^n)^m = g^{nm}.
    • 2.4 Generating Sets: Introduces generating sets and cyclic groups. If GG is a group and SGS \subseteq G, then S\langle S \rangle is a subgroup of GG, called the subgroup generated by SS.
      • If S=G\langle S \rangle = G, then SS is called a generating set of GG.
      • A generating set SS for GG is a minimal generating set if SxS \setminus {x} is no longer a generating set for GG for all xSx \in S.
    • 2.5 Group Tables: Discusses representing finite groups using group tables.
      • Theorem 2.65: If (G,)(G,*) is a finite group, then each element of GG appears exactly once in each row and each column, respectively, in any group table for GG.
    • 2.6 Cayley Diagrams: Explains visual encoding of a group's structure using a specified generating set.
      • Definition 2.70: Suppose GG is a group and SS is a generating set of GG. The Cayley diagram for GG with generating set SS is a colored directed graph constructed as follows:
        • The vertices correspond to elements of GG.
        • Each generator sSs \in S is assigned a color, say csc_s.
        • For gGg \in G and sSs \in S, there is a directed edge from gg to sgsg with color csc_s.
      • Theorem 2.76: If GG is a group with generating set SS, then for every gGg \in G and sSs \in S, there is exactly one arrow with color c<em>sc<em>s pointing from s1gs^{-1}g to gg and exactly one arrow with color c</em>sc</em>s pointing from gg to sgsg.
      • Theorem 2.77: If GG is a group with generating set SS, then the Cayley diagram for GG with generating set SS is connected.
  • Chapter 3: Subgroups and Isomorphisms
    • 3.1 Subgroups: Defines subgroups and provides the Two-Step Subgroup Test (Theorem 3.6), which states that a nonempty subset H of a group G is a subgroup if and only if it is closed under inverses and under the binary operation of G.
      • Theorem 3.7: If GG is a group, then eG{e} \le G.
      • Theorem 3.9: If GG is a group, then GGG \le G.
      • Theorem 3.10: If GG is a group and SGS \subseteq G, then SG\langle S \rangle \le G.
      • Theorem 3.19: If GG is an abelian group such that HGH \le G, then HH is an abelian subgroup.
      • Definition 3.20: If GG is a group, then we define the center of GG to be
        Z(G):=zGzg=gz for all gGZ(G) := {z \in G \mid zg = gz \text{ for all } g \in G }.
      • Theorem 3.21: If GG is a group, then Z(G)Z(G) is an abelian subgroup of GG.
    • 3.2 Subgroup Lattices: Introduces subgroup lattices and related concepts.
      • Theorem 3.23: Let GG be a group and let g<em>1,g</em>2,,g<em>nGg<em>1,g</em>2,…,g<em>n \in G. If xg</em>1,g<em>2,,g</em>nx \in \langle g</em>1,g<em>2,…,g</em>n \rangle, then g<em>1,g</em>2,,g<em>n=g</em>1,g<em>2,,g</em>n,x\langle g<em>1,g</em>2,…,g<em>n \rangle = \langle g</em>1,g<em>2,…,g</em>n, x \rangle.
      • Theorem 3.24: If GG is a group such that H,KGH,K \le G, then HKGH \cap K \le G. Moreover, HKH \cap K is the largest subgroup contained in both HH and KK.
      • Theorem 3.26: If GG is a group such that H,KGH,K \le G, then HKG\langle H \cup K \rangle \le G. Moreover, HKG\langle H \cup K \rangle \le G is the smallest subgroup containing both HH and KK.
    • 3.3 Isomorphisms: Formalizes the notion of when two groups have the same structure.
      • Theorem 3.34: If there is a matching between G<em>1G<em>1 and G</em>2G</em>2 using the generating sets T<em>1T<em>1 and T</em>2T</em>2, respectively, then G<em>1=G</em>2|G<em>1| = |G</em>2| and T<em>1T<em>1 and T</em>2T</em>2 have the same cardinality.
      • Theorem 3.45: If G<em>1G<em>1 and G</em>2G</em>2 are two finite groups, then there is a matching between G<em>1G<em>1 and G</em>2G</em>2 if and only if G<em>1G<em>1 and G</em>2G</em>2 have an identical table coloring.