What Is Combinatorics Anyway?
Broadly speaking, combinatorics is the branch of mathematics dealing
with different ways of selecting objects from a set or arranging objects. It
tries to answer two major kinds of questions, namely, counting questions: how many ways can a selection or arrangement be chosen with a particular set of properties; and structural
questions: does there exist a selection or arrangement of objects with a
particular set of properties?
The authors have presented a text for students at all levels of preparation.
For some, this will be the first course where the students see several real proofs.
Others will have a good background in linear algebra, will have completed the calculus
stream, and will have started abstract algebra.
The text starts by briefly discussing several examples of typical combinatorial problems
to give the reader a better idea of what the subject covers. The next
chapters explore enumerative ideas and also probability. It then moves on to
enumerative functions and the relations between them, and generating functions and recurrences.,
Important families of functions, or numbers and then theorems are presented.
Brief introductions to computer algebra and group theory come next. Structures of particular
interest in combinatorics: posets, graphs, codes, Latin squares, and experimental designs follow. The
authors conclude with further discussion of the interaction between linear algebra
and combinatorics.
Features
- Two new chapters on probability and posets.
- Numerous new illustrations, exercises, and problems.
- More examples on current technology use
- A thorough focus on accuracy
- Three appendices: sets, induction and proof techniques, vectors and matrices, and biographies with historical notes,
- Flexible use of MapleTM and MathematicaTM
Autorentext
W.D. Wallis is Professor Emeritus of Southern Illiniois University. John C George is Asscoiate Professor at Gordon State College.
Klappentext
What Is Combinatorics Anyway?
Broadly speaking, combinatorics is the branch of mathematics dealing
with different ways of selecting objects from a set or arranging objects. It
tries to answer two major kinds of questions, namely, counting questions: how many ways can a selection or arrangement be chosen with a particular set of properties; and structural
questions: does there exist a selection or arrangement of objects with a
particular set of properties?
The authors have presented a text for students at all levels of preparation.
For some, this will be the first course where the students see several real proofs.
Others will have a good background in linear algebra, will have completed the calculus
stream, and will have started abstract algebra.
The text starts by briefly discussing several examples of typical combinatorial problems
to give the reader a better idea of what the subject covers. The next
chapters explore enumerative ideas and also probability. It then moves on to
enumerative functions and the relations between them, and generating functions and recurrences.,
Important families of functions, or numbers and then theorems are presented.
Brief introductions to computer algebra and group theory come next. Structures of particular
interest in combinatorics: posets, graphs, codes, Latin squares, and experimental designs follow. The
authors conclude with further discussion of the interaction between linear algebra
and combinatorics.
Features
- Two new chapters on probability and posets.
- Numerous new illustrations, exercises, and problems.
- More examples on current technology use
- A thorough focus on accuracy
- Three appendices: sets, induction and proof techniques, vectors and matrices, and biographies with historical notes,
- Flexible use of MapleTM and MathematicaTM
Zusammenfassung
What Is Combinatorics Anyway?Broadly speaking, combinatorics is the branch of mathematics dealingwith different ways of selecting objects from a set or arranging objects. Ittries to answer two major kinds of questions, namely, counting questions: how many ways can a selection or arrangement be chosen with a particular set of properties; and structural questions: does there exist a selection or arrangement of objects with a particular set of properties?The authors have presented a text for students at all levels of preparation.For some, this will be the first course where the students see several real proofs. Others will have a good background in linear algebra, will have completed the calculus stream, and will have started abstract algebra. The text starts by briefly discussing several examples of typical combinatorial problemsto give the reader a better idea of what the subject covers. The nextchapters explore enumerative ideas and also probability. It then moves on toenumerative functions and the relations between them, and generating functions and recurrences.,Important families of functions, or numbers and then theorems are presented. Brief introductions to computer algebra and group theory come next. Structures of particular interest in combinatorics: posets, graphs, codes, Latin squares, and experimental designs follow. Theauthors conclude with further discussion of the interaction between linear algebraand combinatorics.FeaturesTwo new chapters on probability and posets. Numerous new illustrations, exercises, and problems.More examples on current technology use A thorough focus on accuracyThree appendices: sets, induction and proof techniques, vectors and matrices, and biographies with historical notes, Flexible use of MapleTM and MathematicaTM
Inhalt
Introduction
Some Combinatorial Examples
Sets, Relations and Proof Techniques
Two Principles of Enumeration
Graphs
Systems of Distinct Representatives
Fundamentals of Enumeration
Permutations and Combinations
Applications of P(n, k) and (n k)
Permutations and Combinations of Multisets
Applications and Subtle Errors
Algorithms
Probability
Introduction
Some Definitions and Easy Examples
Events and Probabilities
Three Interesting Examples
Probability Models
Bernoulli Trials
The Probabilities in Poker
The Wild Card Poker Paradox
The Pigeonhole Principle and Ramsey's Theorem
The Pigeonhole Principle
Applications of the Pigeonhole Principle
Ramsey's Theorem - the Graphical Case
Ramsey Multiplicity
Sum-Free Sets
Bounds on Ramsey Numbers
The General Form of Ramsey's Theorem
The Principle of Inclusion and Exclusion
Unions of Events
The Principle
Combinations with Limited Repetitions
Derangements
Generating Functions and Recurrence Relations
Generating Functions
Recurrence Relations
From Generating Function to Recurrence
Exponential Generating Functions
Catalan, Bell and Stirling Numbers
Introduction
Catalan Numbers
Stirling Numbers of the Second Kind
Bell Numbers
Stirling Numbers of the First Kind
Computer Algebra and Other Electronic Systems
Symmetries and the P olya-Redfield Method
Introduction
Basics of Groups
Permutations and Colorings
An…