Textbook
Number Theory: A Lively Introduction with Proofs, Applications, and Stories, 1st EditionFebruary 2010, ©2010

Readable discussions motivate new concepts and theorems before their formal definitions and statements are presented. Many theorems are preceded by Numerical Proof Previews, which are numerical examples that will help give students a concrete understanding of both the statements of the theorems and the ideas behind their proofs, before the statement and proof are formalized in more abstract terms. In addition, many applications of number theory are explained in detail throughout the text, including some that have rarely (if ever) appeared in textbooks.
A unique feature of the book is that every chapter includes a math myth, a fictional story that introduces an important number theory topic in a friendly, inviting manner. Many of the exercise sets include indepth Explorations, in which a series of exercises develop a topic that is related to the material in the section.
To the Student.
To the Instructor.
Acknowledgements.
0. Prologue.
1. Numbers, Rational and Irrational.
(Historical figures: Pythagoras and Hypatia).
1.1 Numbers and the Greeks.
1.2 Numbers you know.
1.3 A First Look at Proofs.
1.4 Irrationality of he square root of 2.
1.5 Using Quantifiers.
2. Mathematical Induction.
(Historical figure: Noether).
2.1.The Principle of Mathematical Induction.
2.2 Strong Induction and the Well Ordering Principle.
2.3 The Fibonacci Sequence and the Golden Ratio.
2.4 The Legend of the Golden Ratio.
3. Divisibility and Primes.
(Historical figure: Eratosthenes).
3.1 Basic Properties of Divisibility.
3.2 Prime and Composite Numbers.
3.3 Patterns in the Primes.
3.4 Common Divisors and Common Multiples.
3.5 The Division Theorem.
3.6 Applications of gcd and lcm.
4.The Euclidean Algorithm.
(Historical figure: Euclid).
4.1 The Euclidean Algorithm.
4.2 Finding the Greatest Common Divisor.
4.3 A Greeker Argument that the square root of 2 is Irrational.
5. Linear Diophantine Equations.
(Historical figure: Diophantus).
5.1 The Equation aX + bY = 1.
5.2 Using the Euclidean Algorithm to Find a Solution.
5.3 The Diophantine Equation aX + bY = n.
5.4 Finding All Solutions to a Linear Diophantine Equation.
6. The Fundamental Theorem of Arithmetic.
(Historical figure: Mersenne).
6.1 The Fundamental Theorem.
6.2 Consequences of the Fundamental Theorem.
7. Modular Arithmetic.
(Historical figure: Gauss).
7.1 Congruence modulo n.
7.2 Arithmetic with Congruences.
7.3 Check Digit Schemes.
7.4 The Chinese Remainder Theorem.
7.5 The Gregorian Calendar.
7.6 The Mayan Calendar.
8. Modular Number Systems.
(Historical figure: Turing).
8.1 The Number System Z_{n}: an Informal View.
8.2 The Number System Z_{n}: Definition and Basic Properties.
8.3 Multiplicative Inverses in Z_{n}.
8.4 Elementary Cryptography.
8.5 Encryption Using Modular Multiplication.
9. Exponents Modulo n.
(Historical figure: Fermat).
9.1 Fermat's Little Theorem.
9.2 Reduced Residues and the Euler \phifunction.
9.3 Euler's Theorem.
9.4 Exponentiation Ciphers with a Prime modulus.
9.5 The RSA Encryption Algorithm.
10. Primitive Roots.
(Historical figure: Lagrange).
10.1 Z_{n}.
10.2 Solving Polynomial Equations in Z_{n}.
10.3 Primitive Roots.
10.4 Applications of Primitive Roots.
11. Quadratic Residues.
(Historical figure: Eisenstein)
11.1 Squares Modulo n
11.2 Euler's Identity and the Quadratic Character of 1
11.3 The Law of Quadratic Reciprocity
11.4 Gauss's Lemma
11.5 Quadratic Residues and Lattice Points.
11.6 The Proof of Quadratic Reciprocity.
12. Primality Testing.
(Historical figure: Erdös).
12.1 Primality testing.
12.2 Continued Consideration of Charmichael Numbers.
12.3 The MillerRabin Primality test.
12.4 Two Special Polynomial Equations in Z_{p}.
12.5 Proof that MillarRabin is Effective.
12.6 Prime Certificates.
12.7 The AKS Deterministic Primality Test.
13. Gaussian Integers.
(Historical figure: Euler).
13.1 Definition of Gaussian Integers
13.2 Divisibility and Primes in Z[i].
13.3 The Division Theorem for the Gaussian Integers.
13.4 Unique Factorization in Z[i].
13.5 Gaussian Primes.
13.6 Fermat's Two Squares Theorem.
14. Continued Fractions.
(Historical figure: Ramanujan).
14.1 Expressing Rational Numbers as Continued Fractions.
14.2 Expressing Irrational Numbers as Continued Fractions.
14.3 Approximating Irrational Numbers Using Continued Fractions.
14.4 Proving that Convergents are Fantastic Approximations.
15. Some Nonlinear Diophantine Equations.
(Historical figure: Germain).
15.1 Pell's Equation
15.2 Fermat's Last Theorem
15.3 Proof of Fermat's Last Theorem for n = 4.
15.4 Germain's Contributions to Fermat's Last Theorem
15.5 A Geometric look at the Equation x^{4} + y^{4} = z^{2}.
Appendix: Axioms of Number Theory.
A.1 What is a Number System?
A.2 Order Properties of the Integers.
A.3 Building Results From Our Axioms.
A.4 The Principle of Mathematical Induction.
Tim Marks is a Research Scientist at Mitsubishi Electric Research Laboratories in Cambridge, Massachusetts. Previously, he taught high school mathematics and physics for three years, and he worked for three years as a mathematics textbook editor at McDougal Littell/ Houghton Mifflin. Marks and Pommersheim have taught number theory at the Johns Hopkins University's Center for Talented Youth (CTY) summer program for 19 years. Marks earned his A.B. degree from Harvard University. He completed his Ph.D. and postdoctoral research at the University of California, San Diego.
Erica Flapan joined the mathematics department at Pomona College in 1986. She held postdoctoral positions at Rice University and the University of California, Santa Barbara. Flapan has taught a wide range of mathematics courses and has numerous publications in topology and its applications to chemistry, including her book When Topology Meets Chemistry. She developed a course entitled "Problem Solving in the Sciences,” which aims to teach students the mathematics they need in order to succeed in science and economics. Flapan obtained her Ph.D. in knot theory from the University of Wisconsin and is the Lingurn H. Burkhead Professor of Mathematics at Pomona College.
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