Gunderson | Handbook of Mathematical Induction | Buch | 978-1-138-19901-9 | sack.de

Buch, Englisch, 922 Seiten, Format (B × H): 180 mm x 259 mm, Gewicht: 1628 g

Reihe: Discrete Mathematics and Its Applications

Gunderson

Handbook of Mathematical Induction

Theory and Applications

Buch, Englisch, 922 Seiten, Format (B × H): 180 mm x 259 mm, Gewicht: 1628 g

Reihe: Discrete Mathematics and Its Applications

ISBN: 978-1-138-19901-9
Verlag: CRC Press


Handbook of Mathematical Induction: Theory and Applications shows how to find and write proofs via mathematical induction. This comprehensive book covers the theory, the structure of the written proof, all standard exercises, and hundreds of application examples from nearly every area of mathematics.

In the first part of the book, the author discusses different inductive techniques, including well-ordered sets, basic mathematical induction, strong induction, double induction, infinite descent, downward induction, and several variants. He then introduces ordinals and cardinals, transfinite induction, the axiom of choice, Zorn’s lemma, empirical induction, and fallacies and induction. He also explains how to write inductive proofs.

The next part contains more than 750 exercises that highlight the levels of difficulty of an inductive proof, the variety of inductive techniques available, and the scope of results provable by mathematical induction. Each self-contained chapter in this section includes the necessary definitions, theory, and notation and covers a range of theorems and problems, from fundamental to very specialized.

The final part presents either solutions or hints to the exercises. Slightly longer than what is found in most texts, these solutions provide complete details for every step of the problem-solving process.
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THEORY: What Is Mathematical Induction?. Foundations. Variants of Finite Mathematical Induction. Inductive Techniques Applied to the Infinite. Paradoxes and Sophisms from Induction. Empirical Induction. How to Prove by Induction. The Written MI Proof. APPLICATIONS AND EXERCISES: Identities. Inequalities. Number Theory. Sequences. Sets. Logic and Language. Graphs. Recursion and Algorithms. Games and Recreations. Relations and Functions. Linear and Abstract Algebra. Geometry. Ramsey Theory. Probability and Statistics. SOLUTIONS AND HINTS TO EXERCISES. APPENDICES. References. Index.


David S. Gunderson is a professor and chair of the Department of Mathematics at the University of Manitoba in Winnipeg, Canada. He earned his Ph.D. in pure mathematics from Emory University. His research interests include Ramsey theory, extremal graph theory, combinatorial geometry, combinatorial number theory, and lattice theory.


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