**Combinatorics** is an area of mathematics primarily concerned with counting, both as a means and an end in obtaining results, and certain properties of finite structures. It is closely related to many other areas of mathematics and has many applications ranging from logic to statistical physics, from evolutionary biology to computer science, etc.

- History
- Approaches and subfields of combinatorics
- Enumerative combinatorics
- Analytic combinatorics
- Partition theory
- Graph theory
- Design theory
- Finite geometry
- Order theory
- Matroid theory
- Extremal combinatorics
- Probabilistic combinatorics
- Algebraic combinatorics
- Combinatorics on words
- Geometric combinatorics
- Topological combinatorics
- Arithmetic combinatorics
- Infinitary combinatorics
- Related fields
- Combinatorial optimization
- Coding theory
- Discrete and computational geometry
- Combinatorics and dynamical systems
- Combinatorics and physics
- See also
- Notes
- References
- External links

The full scope of combinatorics is not universally agreed upon.^{ [1] } According to H.J. Ryser, a definition of the subject is difficult because it crosses so many mathematical subdivisions.^{ [2] } Insofar as an area can be described by the types of problems it addresses, combinatorics is involved with:

- the
*enumeration*(counting) of specified structures, sometimes referred to as arrangements or configurations in a very general sense, associated with finite systems, - the
*existence*of such structures that satisfy certain given criteria, - the
*construction*of these structures, perhaps in many ways, and *optimization*: finding the "best" structure or solution among several possibilities, be it the "largest", "smallest" or satisfying some other*optimality criterion*.

Leon Mirsky has said: "combinatorics is a range of linked studies which have something in common and yet diverge widely in their objectives, their methods, and the degree of coherence they have attained."^{ [3] } One way to define combinatorics is, perhaps, to describe its subdivisions with their problems and techniques. This is the approach that is used below. However, there are also purely historical reasons for including or not including some topics under the combinatorics umbrella.^{ [4] } Although primarily concerned with finite systems, some combinatorial questions and techniques can be extended to an infinite (specifically, countable) but discrete setting.

Combinatorics is well known for the breadth of the problems it tackles. Combinatorial problems arise in many areas of pure mathematics, notably in algebra, probability theory, topology, and geometry,^{ [5] } as well as in its many application areas. Many combinatorial questions have historically been considered in isolation, giving an *ad hoc* solution to a problem arising in some mathematical context. In the later twentieth century, however, powerful and general theoretical methods were developed, making combinatorics into an independent branch of mathematics in its own right.^{ [6] } One of the oldest and most accessible parts of combinatorics is graph theory, which by itself has numerous natural connections to other areas. Combinatorics is used frequently in computer science to obtain formulas and estimates in the analysis of algorithms.

A mathematician who studies combinatorics is called a *combinatorialist*.

Basic combinatorial concepts and enumerative results appeared throughout the ancient world. In the 6th century BCE, ancient Indian physician Sushruta asserts in Sushruta Samhita that 63 combinations can be made out of 6 different tastes, taken one at a time, two at a time, etc., thus computing all 2^{6} − 1 possibilities. Greek historian Plutarch discusses an argument between Chrysippus (3rd century BCE) and Hipparchus (2nd century BCE) of a rather delicate enumerative problem, which was later shown to be related to Schröder–Hipparchus numbers.^{ [7] }^{ [8] }^{ [9] } Earlier, in the * Ostomachion *, Archimedes (3rd century BCE) may have considered the number of configurations of a tiling puzzle,^{ [10] } while combinatorial interests possibly were present in lost works by Apollonius.^{ [11] }^{ [12] }

In the Middle Ages, combinatorics continued to be studied, largely outside of the European civilization. The Indian mathematician Mahāvīra (c. 850) provided formulae for the number of permutations and combinations,^{ [13] }^{ [14] } and these formulas may have been familiar to Indian mathematicians as early as the 6th century CE.^{ [15] } The philosopher and astronomer Rabbi Abraham ibn Ezra (c. 1140) established the symmetry of binomial coefficients, while a closed formula was obtained later by the talmudist and mathematician Levi ben Gerson (better known as Gersonides), in 1321.^{ [16] } The arithmetical triangle—a graphical diagram showing relationships among the binomial coefficients—was presented by mathematicians in treatises dating as far back as the 10th century, and would eventually become known as Pascal's triangle. Later, in Medieval England, campanology provided examples of what is now known as Hamiltonian cycles in certain Cayley graphs on permutations.^{ [17] }^{ [18] }

During the Renaissance, together with the rest of mathematics and the sciences, combinatorics enjoyed a rebirth. Works of Pascal, Newton, Jacob Bernoulli and Euler became foundational in the emerging field. In modern times, the works of J.J. Sylvester (late 19th century) and Percy MacMahon (early 20th century) helped lay the foundation for enumerative and algebraic combinatorics. Graph theory also enjoyed an explosion of interest at the same time, especially in connection with the four color problem.

In the second half of the 20th century, combinatorics enjoyed a rapid growth, which led to establishment of dozens of new journals and conferences in the subject.^{ [19] } In part, the growth was spurred by new connections and applications to other fields, ranging from algebra to probability, from functional analysis to number theory, etc. These connections shed the boundaries between combinatorics and parts of mathematics and theoretical computer science, but at the same time led to a partial fragmentation of the field.

Enumerative combinatorics is the most classical area of combinatorics and concentrates on counting the number of certain combinatorial objects. Although counting the number of elements in a set is a rather broad mathematical problem, many of the problems that arise in applications have a relatively simple combinatorial description. Fibonacci numbers is the basic example of a problem in enumerative combinatorics. The twelvefold way provides a unified framework for counting permutations, combinations and partitions.

Analytic combinatorics concerns the enumeration of combinatorial structures using tools from complex analysis and probability theory. In contrast with enumerative combinatorics, which uses explicit combinatorial formulae and generating functions to describe the results, analytic combinatorics aims at obtaining asymptotic formulae.

Partition theory studies various enumeration and asymptotic problems related to integer partitions, and is closely related to q-series, special functions and orthogonal polynomials. Originally a part of number theory and analysis, it is now considered a part of combinatorics or an independent field. It incorporates the bijective approach and various tools in analysis and analytic number theory and has connections with statistical mechanics.

Graphs are fundamental objects in combinatorics. Considerations of graph theory range from enumeration (e.g., the number of graphs on *n* vertices with *k* edges) to existing structures (e.g., Hamiltonian cycles) to algebraic representations (e.g., given a graph *G* and two numbers *x* and *y*, does the Tutte polynomial *T*_{G}(*x*,*y*) have a combinatorial interpretation?). Although there are very strong connections between graph theory and combinatorics, they are sometimes thought of as separate subjects.^{ [20] } While combinatorial methods apply to many graph theory problems, the two disciplines are generally used to seek solutions to different types of problems.

Design theory is a study of combinatorial designs, which are collections of subsets with certain intersection properties. Block designs are combinatorial designs of a special type. This area is one of the oldest parts of combinatorics, such as in Kirkman's schoolgirl problem proposed in 1850. The solution of the problem is a special case of a Steiner system, which systems play an important role in the classification of finite simple groups. The area has further connections to coding theory and geometric combinatorics.

Finite geometry is the study of geometric systems having only a finite number of points. Structures analogous to those found in continuous geometries (Euclidean plane, real projective space, etc.) but defined combinatorially are the main items studied. This area provides a rich source of examples for design theory. It should not be confused with discrete geometry (combinatorial geometry).

Order theory is the study of partially ordered sets, both finite and infinite. Various examples of partial orders appear in algebra, geometry, number theory and throughout combinatorics and graph theory. Notable classes and examples of partial orders include lattices and Boolean algebras.

Matroid theory abstracts part of geometry. It studies the properties of sets (usually, finite sets) of vectors in a vector space that do not depend on the particular coefficients in a linear dependence relation. Not only the structure but also enumerative properties belong to matroid theory. Matroid theory was introduced by Hassler Whitney and studied as a part of order theory. It is now an independent field of study with a number of connections with other parts of combinatorics.

Extremal combinatorics studies extremal questions on set systems. The types of questions addressed in this case are about the largest possible graph which satisfies certain properties. For example, the largest triangle-free graph on *2n* vertices is a complete bipartite graph *K _{n,n}*. Often it is too hard even to find the extremal answer

Ramsey theory is another part of extremal combinatorics. It states that any sufficiently large configuration will contain some sort of order. It is an advanced generalization of the pigeonhole principle.

In probabilistic combinatorics, the questions are of the following type: what is the probability of a certain property for a random discrete object, such as a random graph? For instance, what is the average number of triangles in a random graph? Probabilistic methods are also used to determine the existence of combinatorial objects with certain prescribed properties (for which explicit examples might be difficult to find), simply by observing that the probability of randomly selecting an object with those properties is greater than 0. This approach (often referred to as *the* probabilistic method) proved highly effective in applications to extremal combinatorics and graph theory. A closely related area is the study of finite Markov chains, especially on combinatorial objects. Here again probabilistic tools are used to estimate the mixing time.

Often associated with Paul Erdős, who did the pioneering work on the subject, probabilistic combinatorics was traditionally viewed as a set of tools to study problems in other parts of combinatorics. However, with the growth of applications to analyze algorithms in computer science, as well as classical probability, additive number theory, and probabilistic number theory, the area recently grew to become an independent field of combinatorics.

Algebraic combinatorics is an area of mathematics that employs methods of abstract algebra, notably group theory and representation theory, in various combinatorial contexts and, conversely, applies combinatorial techniques to problems in algebra. Algebraic combinatorics is continuously expanding its scope, in both topics and techniques, and can be seen as the area of mathematics where the interaction of combinatorial and algebraic methods is particularly strong and significant.

Combinatorics on words deals with formal languages. It arose independently within several branches of mathematics, including number theory, group theory and probability. It has applications to enumerative combinatorics, fractal analysis, theoretical computer science, automata theory, and linguistics. While many applications are new, the classical Chomsky–Schützenberger hierarchy of classes of formal grammars is perhaps the best-known result in the field.

Geometric combinatorics is related to convex and discrete geometry, in particular polyhedral combinatorics. It asks, for example, how many faces of each dimension a convex polytope can have. Metric properties of polytopes play an important role as well, e.g. the Cauchy theorem on the rigidity of convex polytopes. Special polytopes are also considered, such as permutohedra, associahedra and Birkhoff polytopes. Combinatorial geometry is an old fashioned name for discrete geometry.

Combinatorial analogs of concepts and methods in topology are used to study graph coloring, fair division, partitions, partially ordered sets, decision trees, necklace problems and discrete Morse theory. It should not be confused with combinatorial topology which is an older name for algebraic topology.

Arithmetic combinatorics arose out of the interplay between number theory, combinatorics, ergodic theory, and harmonic analysis. It is about combinatorial estimates associated with arithmetic operations (addition, subtraction, multiplication, and division). Additive number theory (sometimes also called additive combinatorics) refers to the special case when only the operations of addition and subtraction are involved. One important technique in arithmetic combinatorics is the ergodic theory of dynamical systems.

Infinitary combinatorics, or combinatorial set theory, is an extension of ideas in combinatorics to infinite sets. It is a part of set theory, an area of mathematical logic, but uses tools and ideas from both set theory and extremal combinatorics.

Gian-Carlo Rota used the name *continuous combinatorics*^{ [21] } to describe geometric probability, since there are many analogies between *counting* and *measure*.

Combinatorial optimization is the study of optimization on discrete and combinatorial objects. It started as a part of combinatorics and graph theory, but is now viewed as a branch of applied mathematics and computer science, related to operations research, algorithm theory and computational complexity theory.

Coding theory started as a part of design theory with early combinatorial constructions of error-correcting codes. The main idea of the subject is to design efficient and reliable methods of data transmission. It is now a large field of study, part of information theory.

Discrete geometry (also called combinatorial geometry) also began as a part of combinatorics, with early results on convex polytopes and kissing numbers. With the emergence of applications of discrete geometry to computational geometry, these two fields partially merged and became a separate field of study. There remain many connections with geometric and topological combinatorics, which themselves can be viewed as outgrowths of the early discrete geometry.

Combinatorial aspects of dynamical systems is another emerging field. Here dynamical systems can be defined on combinatorial objects. See for example graph dynamical system.

There are increasing interactions between combinatorics and physics, particularly statistical physics. Examples include an exact solution of the Ising model, and a connection between the Potts model on one hand, and the chromatic and Tutte polynomials on the other hand.

- ↑ Pak, Igor. "What is Combinatorics?" . Retrieved 1 November 2017.
- ↑ Ryser 1963 , p. 2
- ↑ Mirsky, Leon (1979), "Book Review" (PDF),
*Bulletin of the American Mathematical Society*, New Series,**1**: 380–388, doi: 10.1090/S0273-0979-1979-14606-8 - ↑ Rota, Gian Carlo (1969).
*Discrete Thoughts*. Birkhaüser. p. 50.... combinatorial theory has been the mother of several of the more active branches of today's mathematics, which have become independent ... . The typical ... case of this is algebraic topology (formerly known as combinatorial topology)

- ↑ Björner and Stanley, p. 2
- ↑ Lovász, László (1979).
*Combinatorial Problems and Exercises*. North-Holland. ISBN 9780821842621.In my opinion, combinatorics is now growing out of this early stage.

- ↑ Acerbi, F. (2003). "On the shoulders of Hipparchus".
*Archive for the History of Exact Sciences*.**57**(6): 465–502. doi:10.1007/s00407-003-0067-0. S2CID 122758966. - ↑ Stanley, Richard P.; "Hipparchus, Plutarch, Schröder, and Hough",
*American Mathematical Monthly***104**(1997), no. 4, 344–350. - ↑ Habsieger, Laurent; Kazarian, Maxim; Lando, Sergei (1998). "On the Second Number of Plutarch".
*The American Mathematical Monthly*.**105**(5): 446. doi:10.1080/00029890.1998.12004906. - ↑ Netz, R.; Acerbi, F.; Wilson, N. "Towards a reconstruction of Archimedes' Stomachion".
*Sciamvs*.**5**: 67–99. - ↑ Hogendijk, Jan P. (1986). "Arabic Traces of Lost Works of Apollonius".
*Archive for History of Exact Sciences*.**35**(3): 187–253. doi:10.1007/BF00357307. ISSN 0003-9519. JSTOR 41133783. S2CID 121613986. - ↑ Huxley, G. (1967). "Okytokion".
*Greek, Roman, and Byzantine Studies*.**8**(3): 203. - ↑ O'Connor, John J.; Robertson, Edmund F., "Combinatorics",
*MacTutor History of Mathematics archive*, University of St Andrews - ↑ Puttaswamy, Tumkur K. (2000). "The Mathematical Accomplishments of Ancient Indian Mathematicians". In Selin, Helaine (ed.).
*Mathematics Across Cultures: The History of Non-Western Mathematics*. Netherlands: Kluwer Academic Publishers. p. 417. ISBN 978-1-4020-0260-1. - ↑ Biggs, Norman L. (1979). "The Roots of Combinatorics".
*Historia Mathematica*.**6**(2): 109–136. doi:10.1016/0315-0860(79)90074-0. - ↑ Maistrov, L.E. (1974),
*Probability Theory: A Historical Sketch*, Academic Press, p. 35, ISBN 978-1-4832-1863-2 . (Translation from 1967 Russian ed.) - ↑ White, Arthur T. (1987). "Ringing the Cosets".
*The American Mathematical Monthly*.**94**(8): 721–746. doi:10.1080/00029890.1987.12000711. - ↑ White, Arthur T. (1996). "Fabian Stedman: The First Group Theorist?".
*The American Mathematical Monthly*.**103**(9): 771–778. doi:10.1080/00029890.1996.12004816. - ↑ See Journals in Combinatorics and Graph Theory
- ↑ Sanders, Daniel P.;
*2-Digit MSC Comparison*Archived 2008-12-31 at the Wayback Machine - ↑
*Continuous and profinite combinatorics*

**Discrete mathematics** is the study of mathematical structures that are fundamentally discrete rather than continuous. In contrast to real numbers that have the property of varying "smoothly", the objects studied in discrete mathematics – such as integers, graphs, and statements in logic – do not vary smoothly in this way, but have distinct, separated values. Discrete mathematics therefore excludes topics in "continuous mathematics" such as calculus or Euclidean geometry. Discrete objects can often be enumerated by integers. More formally, discrete mathematics has been characterized as the branch of mathematics dealing with countable sets. However, there is no exact definition of the term "discrete mathematics." Indeed, discrete mathematics is described less by what is included than by what is excluded: continuously varying quantities and related notions.

**Combinatorics** is a branch of mathematics concerning the study of finite or countable discrete structures.

**Discrete mathematics** is the study of mathematical structures that are fundamentally discrete rather than continuous. In contrast to real numbers that have the property of varying "smoothly", the objects studied in discrete mathematics – such as integers, graphs, and statements in logic – do not vary smoothly in this way, but have distinct, separated values. Discrete mathematics therefore excludes topics in "continuous mathematics" such as calculus and analysis.

**Discrete geometry** and **combinatorial geometry** are branches of geometry that study combinatorial properties and constructive methods of discrete geometric objects. Most questions in discrete geometry involve finite or discrete sets of basic geometric objects, such as points, lines, planes, circles, spheres, polygons, and so forth. The subject focuses on the combinatorial properties of these objects, such as how they intersect one another, or how they may be arranged to cover a larger object.

**Lists of mathematics topics** cover a variety of topics related to mathematics. Some of these lists link to hundreds of articles; some link only to a few. The template to the right includes links to alphabetical lists of all mathematical articles. This article brings together the same content organized in a manner better suited for browsing. Lists cover aspects of basic and advanced mathematics, methodology, mathematical statements, integrals, general concepts, mathematical objects and reference tables. They also cover equations named after people, societies, mathematicians, journals and meta-lists.

**Béla Bollobás** FRS is a Hungarian-born British mathematician who has worked in various areas of mathematics, including functional analysis, combinatorics, graph theory, and percolation. He was strongly influenced by Paul Erdős since the age of 14.

**Geometric group theory** is an area in mathematics devoted to the study of finitely generated groups via exploring the connections between algebraic properties of such groups and topological and geometric properties of spaces on which these groups act.

Mathematics encompasses a growing variety and depth of subjects over its history, and comprehension of it requires a system to categorize and organize these various subjects into a more general **areas of mathematics**. A number of different classification schemes have arisen, and though they share some similarities, there are differences due in part to the different purposes they serve.

A **convex polytope** is a special case of a polytope, having the additional property that it is also a convex set contained in the -dimensional Euclidean space . Most texts use the term "polytope" for a bounded convex polytope, and the word "polyhedron" for the more general, possibly unbounded object. Others allow polytopes to be unbounded. The terms "bounded/unbounded convex polytope" will be used below whenever the boundedness is critical to the discussed issue. Yet other texts identify a convex polytope with its boundary.

**Graduate Texts in Mathematics** (**GTM**) is a series of graduate-level textbooks in mathematics published by Springer-Verlag. The books in this series, like the other Springer-Verlag mathematics series, are yellow books of a standard size. The GTM series is easily identified by a white band at the top of the book.

**Václav (Vašek) Chvátal** (Czech: [ˈvaːtslaf ˈxvaːtal] is a Professor Emeritus in the Department of Computer Science and Software Engineering at Concordia University in Montreal, Quebec, Canada. He has published extensively on topics in graph theory, combinatorics, and combinatorial optimization.

**Algebraic combinatorics** is an area of mathematics that employs methods of abstract algebra, notably group theory and representation theory, in various combinatorial contexts and, conversely, applies combinatorial techniques to problems in algebra.

The mathematical discipline of **topological combinatorics** is the application of topological and algebro-topological methods to solving problems in combinatorics.

The mathematical field of combinatorics was studied to varying degrees in numerous ancient societies. Its study in Europe dates to the work of Leonardo Fibonacci in the 13th century AD, which introduced Arabian and Indian ideas to the continent. It has continued to be studied in the modern era.

**Polymake** is software for the algorithmic treatment of convex polyhedra.

**Norman Linstead Biggs** is a leading British mathematician focusing on discrete mathematics and in particular algebraic combinatorics.

The following outline is provided as an overview of and topical guide to formal science:

- Björner, Anders; and Stanley, Richard P.; (2010);
*A Combinatorial Miscellany* - Bóna, Miklós; (2011);
*A Walk Through Combinatorics (3rd Edition)*. ISBN 978-981-4335-23-2 , 978-981-4460-00-2 - Graham, Ronald L.; Groetschel, Martin; and Lovász, László; eds. (1996);
*Handbook of Combinatorics*, Volumes 1 and 2. Amsterdam, NL, and Cambridge, MA: Elsevier (North-Holland) and MIT Press. ISBN 0-262-07169-X - Lindner, Charles C.; and Rodger, Christopher A.; eds. (1997);
*Design Theory*, CRC-Press; 1st. edition (1997). ISBN 0-8493-3986-3. - Riordan, John (2002) [1958],
*An Introduction to Combinatorial Analysis*, Dover, ISBN 978-0-486-42536-8 - Ryser, Herbert John (1963),
*Combinatorial Mathematics*, The Carus Mathematical Monographs(#14), The Mathematical Association of America - Stanley, Richard P. (1997, 1999);
*Enumerative Combinatorics*, Volumes 1 and 2, Cambridge University Press. ISBN 0-521-55309-1 , 0-521-56069-1 - van Lint, Jacobus H.; and Wilson, Richard M.; (2001);
*A Course in Combinatorics*, 2nd Edition, Cambridge University Press. ISBN 0-521-80340-3

- "Combinatorial analysis",
*Encyclopedia of Mathematics*, EMS Press, 2001 [1994] - Combinatorial Analysis – an article in Encyclopædia Britannica Eleventh Edition
- Combinatorics, a MathWorld article with many references.
- Combinatorics, from a
*MathPages.com*portal. - The Hyperbook of Combinatorics, a collection of math articles links.
- The Two Cultures of Mathematics by W.T. Gowers, article on problem solving vs theory building.
- "Glossary of Terms in Combinatorics"
- List of Combinatorics Software and Databases

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