Combinatorics and probability

In summary, there are many excellent textbooks on elementary combinatorics and combinatorial probability. Some highly recommended options include "Applied Combinatorics" by Alan Tucker, "A Course in Combinatorics" by J.H. van Lint and R.M. Wilson, "Combinatorics: Topics, Techniques, Algorithms" by Peter J. Cameron, "Modern Graph Theory" by Bela Bollobas, "Graph Theory" by Reinhard Diestel, "Generatingfunctionology" by Herbert S. Wilf, and "Permutation Groups" by Peter S. Cameron. The standard reference for enumerative combinatorics is the multivolume work by Richard P. Stanley, and for algorithms it is the
  • #1
Werg22
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What would be a good text on elementary combinatorics and combinatorial probability (I don't know if I'm using the right term here)? I'm looking for a classic and elegant text, nothing too modern or fancy.
 
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  • #2
Some good books on combinatorics

Wow, no-one answered this?

Anyway, you have many excellent choices. There is widespread agreement on coverage of certain basic topics, but in such a huge subject, each textbook seems to have something uniquely valuable to offer. Some I'd recommend, roughly in order of sophistication:

Alan Tucker, Applied Combinatorics, Second Ed., Wiley, 1984.

J. H. van Lint and R. M. Wilson, A Course in Combinatorics, Cambridge University Press, 1992.

Peter J. Cameron, Combinatorics: Topics, Techniques, Algorithms. Cambridge University Press, 1996.

As you know, combinatorics overlaps with graph theory. Two wonderful textbooks with similar coverage but distinct approaches:

Bela Bollobas, Modern Graph Theory, Springer, 1998. One of the best math books ever published.

Reinhard Diestel, Graph Theory, Second Ed., Springer, 2000. Compare for example the treatments of the Szemeredi regularity lemma, which is increasingly recognized as one of the most important theorems in mathematics, the foundation for what has been called "ergodic Ramsey theory".

I happen to be a huge fan of "enumerative combinatorics". Here a basic skill is the use of generating functions to count the number of n-vertex trees (say), and to study the asymptotics of such counts:

Herbert S. Wilf, Generatingfunctionology, Academic Press, 1990. Opens with one of the most inspired "mathematical riffs" in the English langage, well worth reading for that alone. Wilf's centerpiece is a theorem which unfortunately he states in a way which obscures it's close connection with Polya enumeration, which is very unfortunate. I have rewritten but not formatted much of the content of this book from the viewpoint of structors, aka "combinatorial species", a beautiful theory due to Andre Joyal which perfectly captures the basic notions of Wilf's book in terms of category theory. I haven't read the WP article, but a glance at the history shows contribs from at least some known "good editors" whom I wouldn't expect to make serious factual errors: http://en.wikipedia.org/wiki/Combinatorial_species

Peter S. Cameron, Permutation Groups, University of Cambridge Press,1999. Provides a partial corrective.

The standard reference on enumerative combinatorics is by a multivolume work by the redoubtable Richard P. Stanley http://en.wikipedia.org/wiki/Richard_P._Stanley Another closely related subject is algorithms for finite data structures. The standard reference on algorithms is of course the multivolume work by Donald E. Knuth http://en.wikipedia.org/wiki/Donald_Knuth
 
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  • #3


One classic and elegant text on elementary combinatorics and combinatorial probability is "A First Course in Combinatorial Mathematics" by Ian Anderson. This book covers the basics of combinatorics, including permutations, combinations, and the binomial theorem, as well as combinatorial probability and its applications. It is written in a clear and concise manner, making it accessible for readers with little background in the subject. Other recommended texts include "Concrete Mathematics" by Ronald L. Graham, Donald E. Knuth, and Oren Patashnik, and "Combinatorics: Topics, Techniques, Algorithms" by Peter J. Cameron. These books also provide a solid foundation in combinatorics and combinatorial probability, with a focus on problem-solving and real-world applications.
 

1. What is combinatorics?

Combinatorics is a branch of mathematics that deals with the study of counting, arrangements, and combinations of objects or events. It involves analyzing and solving problems that involve making choices and organizing objects in a systematic way.

2. How are combinatorics and probability related?

Combinatorics and probability are closely related as they both deal with counting and analyzing outcomes. Probability is the likelihood of a specific outcome occurring, while combinatorics helps determine the number of possible outcomes. Combinatorics also provides a framework for understanding and calculating probabilities in various situations.

3. What are the basic principles of combinatorics?

The basic principles of combinatorics include the fundamental principle of counting, permutations, combinations, and the inclusion-exclusion principle. The fundamental principle of counting states that if there are m ways to do one task and n ways to do another, then there are m x n ways to do both tasks. Permutations deal with the arrangement of objects, while combinations involve selecting objects without considering their order. The inclusion-exclusion principle is used to solve problems involving overlapping or mutually exclusive events.

4. How is combinatorics used in real life?

Combinatorics has various applications in real life, including in fields such as computer science, economics, and genetics. It is used to analyze and solve problems related to probability, counting, and optimization. For example, combinatorics is used in cryptography to create secure codes, in genetics to study gene combinations, and in economics to determine optimal resource allocation.

5. What are some common misconceptions about combinatorics and probability?

One common misconception is that combinatorics and probability are only useful for solving theoretical problems. In reality, they have numerous real-life applications and are used in various industries. Another misconception is that they are only relevant in advanced mathematics. However, basic principles of combinatorics and probability are used in everyday situations, such as calculating the odds of winning a game or selecting items from a menu.

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