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Mathematics (from Greek: ) includes the study of such topics as numbers (arithmetic and number theory), formulas and related structures (algebra), shapes and spaces in which they are contained (geometry), and quantities and their changes (calculus and mathematical analysis, analysis). There is no general consensus about its exact scope or epistemology, epistemological status. Most of mathematical activity consists of discovering and proving (by pure reasoning) properties of mathematical object, abstract objects. These objects are either abstractions from nature (such as natural numbers or "a line (mathematics), line"), or (in modern mathematics) abstract entities that are defined by their basic properties, called axioms. A proof (mathematics), proof consists of a succession of applications of some inference rule, deductive rules to already known results, including previously proved theorems, axioms and (in case of abstraction from nature) some basic properties that are considered as true starting points of the theory under consideration. The result of a proof is called a ''theorem''. Contrary to physical laws, the validity of a theorem (its truth) does not rely on any experimentation but on the correctness of its reasoning (though experimentation is often useful for discovering new theorems of interest). Mathematics is widely used in science for Mathematical model, modeling phenomena. This enables the extraction of quantitative predictions from experimental laws. For example, the movement of planets can be predicted with high accuracy using Newton's law of gravitation combined with mathematical computation. The independence of mathematical truth from any experimentation implies that the accuracy of such predictions depends only on the adequacy of the model for describing the reality. So when some inaccurate predictions arise, it means that the model must be improved or changed, not that the mathematics is wrong. For example, the perihelion precession of Mercury cannot be explained by Newton's law of gravitation, but is accurately explained by Einstein's general relativity. This experimental validation of Einstein's theory shows that Newton's law of gravitation is only an approximation (which still is very accurate in everyday life). Mathematics is essential in many fields, including natural sciences, engineering, medicine, finance, computer science and social sciences. Some areas of mathematics, such as statistics and game theory, are developed in direct correlation with their applications, and are often grouped under the name of applied mathematics. Other mathematical areas are developed independently from any application (and are therefore called pure mathematics), but practical applications are often discovered later. A fitting example is the problem of integer factorization which goes back to Euclid but had no practical application before its use in the RSA cryptosystem (for the security of computer networks). Mathematics has been a human activity from as far back as History of Mathematics, written records exist. However, the concept of a "proof" and its associated "mathematical rigour" first appeared in Greek mathematics, most notably in Euclid's ''Euclid's Elements, Elements''. Mathematics developed at a relatively slow pace until the Renaissance, when algebra and infinitesimal calculus were added to arithmetic and geometry as main areas of mathematics. Since then the interaction between mathematical innovations and timeline of scientific discoveries, scientific discoveries have led to a rapid increase in the rate of mathematical discoveries. At the end of the 19th century, the foundational crisis of mathematics led to the systematization of the axiomatic method. This, in turn, gave rise to a dramatic increase in the number of mathematics areas and their fields of applications; a witness of this is the Mathematics Subject Classification, which lists more than sixty first-level areas of mathematics.

# Areas of mathematics

Before the Renaissance, mathematics was divided into two main areas, arithmetic, devoted to the manipulation of numbers, and geometry, devoted to the study of shapes. There was also some pseudo-science, such as numerology and astrology that were not clearly distinguished from mathematics. Around the Renaissance, two new main areas appeared. The introduction of mathematical notation led to algebra, which, roughly speaking, consists of the study and the manipulation of formulas. Calculus, a shorthand of ''infinitesimal calculus'' and ''integral calculus'', is the study of continuous functions, which model the change of, and the relationship between varying quantities (variable (mathematics), variables). This division into four main areas remained valid until the end of the 19th century, although some areas, such as celestial mechanics and solid mechanics, which were often considered as mathematics, are now considered as belonging to physics. Also, some subjects developed during this period predate mathematics (being divided into different) areas, such as probability theory and combinatorics, which only later became regarded as autonomous areas of their own. At the end of the 19th century, the foundational crisis in mathematics and the resulting systematization of the axiomatic method led to an explosion in the amount of areas of mathematics. The Mathematics Subject Classification contains more than 60 first-level areas. Some of these areas correspond to the older division in four main areas. This is the case of 11:number theory (the modern name for higher arithmetic) and 51:Geometry. However, there are several other first-level areas that have "geometry" in their name or are commonly considered as belonging to geometry. Algebra and calculus do not appear as first-level areas, but are each split into several first-level areas. Other first-level areas did not exist at all before the 20th century (for example 18:Category theory; homological algebra, and 68:computer science) or were not considered before as mathematics, such as 03:Mathematical logic and foundations of mathematics, foundations (including model theory, computability theory, set theory, proof theory, and algebraic logic).

## Number theory

Number theory started with the manipulation of numbers, that is, natural numbers $\left(\mathbb\right),$ later expanded to integers $\left(\Z\right)$ and rational numbers $\left(\Q\right).$ Number theory was formerly called arithmetic, but nowadays this term is mostly used for the methods of calculation with numbers. A specificity of number theory is that many problems that can be stated very elementarily are very difficult, and, when solved, have a solution that require very sophisticated methods coming from various parts of mathematics. A notable example is Fermat's Last theorem that was stated in 1637 by Pierre de Fermat and Wiles's proof of Fermat's Last Theorem, proved only in 1994 by Andrew Wiles, using, among other tools, algebraic geometry (more specifically scheme theory), category theory and homological algebra. Another example is Goldbach's conjecture, that asserts that every even integer greater than 2 is the sum of two prime numbers. Stated in 1742 by Christian Goldbach it remains unproven despite considerable effort. In view of the diversity of the studied problems and the solving methods, number theory is presently split in several subareas, which include analytic number theory, algebraic number theory, geometry of numbers (method oriented), Diophantine equations and transcendence theory (problem oriented).

## Geometry

Geometry is, with arithmetic, one of the oldest branches of mathematics. It started with empirical recipes concerning shapes, such as line (geometry), lines, angles and circles, which were developed mainly for the need of surveying and architecture. A fundamental innovation was the elaboration of mathematical proof, proofs by Greek mathematics, ancient Greeks: it is not sufficient to verify by measurement that, say, two lengths are equal. Such a property must be ''proved'' by abstract reasoning from previously proven results (theorems) and basic properties (which are considered as self-evident because they are too basic for being the subject of a proof (postulates)). This principle, which is foundational for all mathematics, was elaborated for the sake of geometry, and was systematized by Euclid around 300 BC in his book ''Euclid's Elements, Elements''. The resulting Euclidean geometry is the study of shapes and their arrangements straightedge and compass construction, constructed from line (geometry), lines, plane (geometry), planes and circles in the Euclidean plane (plane geometry) and the (three-dimensional) Euclidean space. Euclidean geometry was developed without a change of methods or scope until the 17th century, when René Descartes introduced what is now called Cartesian coordinates. This was a major change of paradigm, since instead of defining real numbers as lengths of line segments (see number line), it allowed the representation of points using numbers (their coordinates), and for the use of algebra and later, calculus for solving geometrical problems. This split geometry in two parts that differ only by their methods, synthetic geometry, which uses purely geometrical methods, and analytic geometry, which uses coordinates systemically. Analytic geometry allows the study of new shapes, in particular curves that are not related to circles and lines; these curves are defined either as graph of a function, graph of functions (whose study led to differential geometry), or by implicit equations, often polynomial equations (which spawned algebraic geometry). Analytic geometry makes it possible to consider Euclidean space, spaces dimensions higher than three (it suffices to consider more than three coordinates), which are no longer a model of the physical space. Geometry expanded quickly during the 19th century. A major event was the discovery (in the second half of the 19th century) of non-Euclidean geometries, which are geometries where the parallel postulate is abandoned. This is, besides Russel's paradox, one of the starting points of the foundational crisis of mathematics, by taking into question the ''truth'' of the aforementioned postulate. This aspect of the crisis was solved by systematizing the axiomatic method, and adopting that the truth of the chosen axioms is not a mathematical problem. In turn, the axiomatic method allows for the study of various geometries obtained either by changing the axioms or by considering properties that are invariant under specific transformations of the space (mathematics), space. This results in a number of subareas and generalizations of geometry that include: *Projective geometry, introduced in the 16th century by Girard Desargues, it extends Euclidean geometry by adding points at infinity at which parallel lines intersect. This simplifies many aspects of classical geometry by avoiding to have a different treatment for intersecting and parallel lines. *Affine geometry, the study of properties relative to parallel (geometry), parallelism and independent from the concept of length. *Differential geometry, the study of curves, surfaces, and their generalizations, which are defined using differentiable functions *Manifold theory, the study of shapes that are not necessarily embedded in a larger space *Riemannian geometry, the study of distance properties in curved spaces *Algebraic geometry, the study of curves, surfaces ,and their generalizations, which are defined using polynomials *Topology, the study of properties that are kept under continuous deformations **Algebraic topology, the use in topology of algebraic methods, mainly homological algebra *Discrete geometry, the study of finite configurations in geometry *Convex geometry, the study of convex sets, which takes its importance from its applications in convex optimization, optimization *Complex geometry, the geometry obtained by replacing real numbers with complex numbers

## Algebra

Algebra may be viewed as the art of manipulating equations and formulas. Diophantus (3d century) and Al-Khowarazmi (9th century) were two main precursors of algebra. The first one solved some relations between unknown natural numbers (that is, equations) by deducing new relations until getting the solution. The second one introduced systematic methods for transforming equations (such as moving a term from a side of an equation into the other side). The term ''algebra'' is derived from the Arabic word that he used for naming one of these methods in the title of The Compendious Book on Calculation by Completion and Balancing, his main treatise. Algebra began to be a specific area only with François Viète (1540–1603), who introduced the use of letters (variable (mathematics), variables) for representing unknown or unspecified numbers. This allows describing consisely the Arithmetic operation, operations that have to be done on the numbers represented by the variables. Until the 19th century, algebra consisted mainly of the study of linear equations that is called presently linear algebra, and polynomial equations in a single unknown (algebra), unknown, which were called ''algebraic equations'' (a term that is still in use, although it may be ambiguous). During the 19th century, variables began to represent other things than numbers (such as matrix (mathematics), matrices, modular arithmetic, modular integers, and geometric transformations), on which some operation (mathematics), operations can operate, which are often generalizations of arithmetic operations. For dealing with this, the concept of algebraic structure was introduced, which consist of a set (mathematics), set whose elements are unspecified, of operations acting on the elements of the set, and rules that these operations must follow. So, the scope of algebra evolved for becoming essentially the study of algebraic structures. This object of algebra was called ''modern algebra'' or abstract algebra, the latter term being still used, mainly in an educational context, in opposition with elementary algebra which is concerned with the older way of manipulating formulas. Some types of algebraic structures have properties that are useful, and often fundamental, in many areas of mathematics. Their study are nowadays autonomous parts of algebra, which include: *group theory; *field (mathematics), field theory; *vector spaces, whose study is essentially the same as linear algebra; *ring theory; *commutative algebra, which is the study of commutative rings, includes the study of polynomials, and is a foundational part of algebraic geometry; *homological algebra *Lie algebra and Lie group theory; *Boolean algebra, which is widely used for the study of the logical structure of computers. The study of types algebraic structures as mathematical objects is the object of universal algebra and category theory. The latter applies to every mathematical structure (not only the algebraic ones). At its origin, it was introduced, together with homological algebra for allowing the algebraic study of non-algebraic objects such as topological spaces; this particular area of application is called algebraic topology.

## Calculus and analysis

Calculus, formerly called infinitesimal calculus, was introduced in the 17th century by Isaac Newton, Newton and Leibniz, independently and simultaneously. It is fundamentally the study of the relationship of two changing quantities, called ''variable (mathematics), variables'', such that one depends on the other. Calculus was largely expanded in the 18th century by Euler, with the introduction of the concept of a function (mathematics), function, and many other results. Presently "calculus" refers mainly to the elementary part of this theory, and "analysis" is commonly used for advanced parts. Analysis is further subdivided into real analysis, where variables represent real numbers and complex analysis where variables represent complex numbers. Presently there are many subareas of analysis, some being shared with other areas of mathematics; they include: * Multivariable calculus * Functional analysis, where variables represent varying functions; * Integration (mathematics), Integration, measure theory and potential theory, all strongly related with Probability theory; * Ordinary differential equations; * Partial differential equations; * Numerical analysis, mainly devoted to the computation on computers of solutions of ordinary and partial differential equations that arise in many applications of mathematics.

## Mathematical logic and set theory

These subjects belong to mathematics since the end of the 19th century. Before this period, sets were not considered as mathematical objects, and logic, although used for mathematical proofs, belonged to philosophy, and was not specifically studied by mathematicians. Before the study of infinite sets by Georg Cantor, mathematicians were reluctant to consider collections that are actual infinite, actually infinite, and considered infinity as the result of an endless enumeration. Cantor's work offended many mathematicians not only by considering actually infinite sets, but also by showing that this implies different sizes of infinity (see Cantor's diagonal argument) and the existence of mathematical objects that cannot be computed, and not even be explicitly described (for example, Hamel bases of the real numbers over the rational numbers). This led to the controversy over Cantor's theory, controversy over Cantor's set theory. In the same period, it appeared in various areas of mathematics that the former intuitive definitions of the basic mathematical objects were insufficient for insuring mathematical rigour. Examples of such intuitive definitions are "a set is a collection of objects", "natural number is what is used for counting", "a point is a shape with a zero length in every direction", "a curve is a trace left by a moving point", etc. This is the origin of the foundational crisis of mathematics. It has been eventually solved in the mainstream of mathematics by systematize the axiomatic method inside a Zermelo–Fraenkel set theory, formalized set theory. Roughly speaking, each mathematical object is defined by the set of all similar objects and the properties that these objects must have. For example, in Peano arithmetic, the natural numbers are defined by "zero is a number", "each number as a unique successor", "each number but zero has a unique predecessor", and some rules of reasoning. The "nature" of the objects defined this way is a philosophical problem that mathematicians leave to philosophers, even as many mathematicians have opinions on this nature, and use their opinion—sometimes called "intuition"—to guide their study and finding proofs. This approach allows considering "logics" (that is, sets of allowed deducing rules), theorems, proofs, etc.) as mathematical objects, and to prove theorems about them. For example, Gödel's incompleteness theorems assert, roughly speaking that, in every theory that contains the natural numbers, there are theorems that are true (that is provable in a larger theory), but not provable inside the theory. This approach of the foundations of the mathematics was challenged during the first half of the 20th century by mathematicians leaded by L. E. J. Brouwer who promoted an intuitionistic logic that excludes the law of excluded middle. These problems and debates led to a wide expansion of mathematical logic, with subareas such as model theory (modeling some logical theories inside other theory), proof theory, type theory, computability theory and computational complexity theory. Although these aspects of mathematical logic were introduced before the rise of computers, their use in compiler design, computer program, program certification, proof assistants and other aspects of computer science, contributed in turn to the expansion of these logical theories.

## Applied mathematics

Applied mathematics concerns itself with mathematical methods that are typically used in science, engineering, business, and Industry (manufacturing), industry. Thus, "applied mathematics" is a mathematical science with specialized knowledge. The term ''applied mathematics'' also describes the professional specialty in which mathematicians work on practical problems; as a profession focused on practical problems, ''applied mathematics'' focuses on the "formulation, study, and use of mathematical models" in science, engineering, and other areas of mathematical practice. In the past, practical applications have motivated the development of mathematical theories, which then became the subject of study in pure mathematics, where mathematics is developed primarily for its own sake. Thus, the activity of applied mathematics is vitally connected with research in pure mathematics.

## Statistics and other decision sciences

Applied mathematics has significant overlap with the discipline of statistics, whose theory is formulated mathematically, especially with probability theory. Statisticians (working as part of a research project) "create data that makes sense" with random sampling and with randomized design of experiments, experiments; the design of a statistical sample or experiment specifies the analysis of the data (before the data becomes available). When reconsidering data from experiments and samples or when analyzing data from observational study, observational studies, statisticians "make sense of the data" using the art of statistical model, modelling and the theory of statistical inference, inference—with model selection and estimation theory, estimation; the estimated models and consequential Scientific method#Predictions from the hypothesis, predictions should be statistical hypothesis testing, tested on Scientific method#Evaluation and improvement, new data. Statistical theory studies statistical decision theory, decision problems such as minimizing the risk (expected loss) of a statistical action, such as using a statistical method, procedure in, for example, parameter estimation, hypothesis testing, and selection algorithm, selecting the best. In these traditional areas of mathematical statistics, a statistical-decision problem is formulated by minimizing an objective function, like expected loss or cost, under specific constraints: For example, designing a survey often involves minimizing the cost of estimating a population mean with a given level of confidence. Because of its use of mathematical optimization, optimization, the mathematical theory of statistics shares concerns with other decision sciences, such as operations research, control theory, and mathematical economics.:

## Computational mathematics

Computational mathematics proposes and studies methods for solving mathematical problems that are typically too large for human numerical capacity. Numerical analysis studies methods for problems in analysis (mathematics), analysis using functional analysis and approximation theory; numerical analysis broadly includes the study of approximation and discretization, discretisation with special focus on rounding errors. Numerical analysis and, more broadly, scientific computing also study non-analytic topics of mathematical science, especially algorithmic-numerical linear algebra, matrix-and-graph theory. Other areas of computational mathematics include computer algebra and symbolic computation.

# History

## Etymology

The word ''mathematics'' comes from Ancient Greek ''máthēma'' ('), meaning "that which is learnt," "what one gets to know," hence also "study" and "science". The word for "mathematics" came to have the narrower and more technical meaning "mathematical study" even in Classical times. Its adjective is ''mathēmatikós'' (), meaning "related to learning" or "studious," which likewise further came to mean "mathematical." In particular, ''mathēmatikḗ tékhnē'' (; la, ars mathematica) meant "the mathematical art." Similarly, one of the two main schools of thought in Pythagoreanism was known as the ''mathēmatikoi'' (μαθηματικοί)—which at the time meant "learners" rather than "mathematicians" in the modern sense. In Latin, and in English until around 1700, the term ''mathematics'' more commonly meant "astrology" (or sometimes "astronomy") rather than "mathematics"; the meaning gradually changed to its present one from about 1500 to 1800. This has resulted in several mistranslations. For example, Saint Augustine's warning that Christians should beware of ''mathematici'', meaning astrologers, is sometimes mistranslated as a condemnation of mathematicians. The apparent plural form in English, like the French plural form (and the less commonly used singular Morphological derivation, derivative ), goes back to the Latin Neuter (grammar), neuter plural (Cicero), based on the Greek plural ''ta mathēmatiká'' (), used by Aristotle (384–322 BC), and meaning roughly "all things mathematical", although it is plausible that English borrowed only the adjective ''mathematic(al)'' and formed the noun ''mathematics'' anew, after the pattern of ''physics'' and ''metaphysics'', which were inherited from Greek. In English, the noun ''mathematics'' takes a singular verb. It is often shortened to ''maths'' or, in North America, ''math''."maths, ''n.''"
an
"math, ''n.3''"
. ''Oxford English Dictionary,'' on-line version (2012).

# Philosophy of mathematics

There is no general consensus about the exact definition or epistemology, epistemological status of mathematics. Aristotle defined mathematics as "the science of quantity" and this definition prevailed until the 18th century. However, Aristotle also noted a focus on quantity alone may not distinguish mathematics from sciences like physics; in his view, abstraction and studying quantity as a property "separable in thought" from real instances set mathematics apart. In the 19th century, when the study of mathematics increased in rigor and began to address abstract topics such as group theory and projective geometry, which have no clear-cut relation to quantity and measurement, mathematicians and philosophers began to propose a variety of new definitions. A great many professional mathematicians take no interest in a definition of mathematics, or consider it undefinable. There is not even consensus on whether mathematics is an art or a science. Some just say, "Mathematics is what mathematicians do."

Three leading types of definition of mathematics today are called logicist, intuitionist, and Formalism (mathematics), formalist, each reflecting a different philosophical school of thought. All have severe flaws, none has widespread acceptance, and no reconciliation seems possible.

### Logicist definitions

An early definition of mathematics in terms of logic was that of Benjamin Peirce (1870): "the science that draws necessary conclusions." In the ''Principia Mathematica'', Bertrand Russell and Alfred North Whitehead advanced the philosophical program known as logicism, and attempted to prove that all mathematical concepts, statements, and principles can be defined and proved entirely in terms of symbolic logic. An example of a logicist definition of mathematics is Russell's (1903) "All Mathematics is Symbolic Logic."

### Intuitionist definitions

Intuitionist definitions, developing from the philosophy of mathematician L. E. J. Brouwer, identify mathematics with certain mental phenomena. An example of an intuitionist definition is "Mathematics is the mental activity which consists in carrying out constructs one after the other." A peculiarity of intuitionism is that it rejects some mathematical ideas considered valid according to other definitions. In particular, while other philosophies of mathematics allow objects that can be proved to exist even though they cannot be constructed, intuitionism allows only mathematical objects that one can actually construct. Intuitionists also reject the law of excluded middle (i.e., $P \vee \neg P$). While this stance does force them to reject one common version of proof by contradiction as a viable proof method, namely the inference of $P$ from $\neg P \to \bot$, they are still able to infer $\neg P$ from $P \to \bot$. For them, $\neg \left(\neg P\right)$ is a strictly weaker statement than $P$.

### Formalist definitions

Formalism (mathematics), Formalist definitions identify mathematics with its symbols and the rules for operating on them. Haskell Curry defined mathematics simply as "the science of formal systems". A formal system is a set of symbols, or ''tokens'', and some ''rules'' on how the tokens are to be combined into ''formulas''. In formal systems, the word ''axiom'' has a special meaning different from the ordinary meaning of "a self-evident truth", and is used to refer to a combination of tokens that is included in a given formal system without needing to be derived using the rules of the system.

## Mathematics as science

The German mathematician Carl Friedrich Gauss referred to mathematics as "the Queen of the Sciences". More recently, Marcus du Sautoy has called mathematics "the Queen of Science ... the main driving force behind scientific discovery". The philosopher Karl Popper observed that "most mathematical theories are, like those of physics and biology, hypothesis, hypothetico-deductive: pure mathematics therefore turns out to be much closer to the natural sciences whose hypotheses are conjectures, than it seemed even recently." Popper also noted that "I shall certainly admit a system as empirical or scientific only if it is capable of being tested by experience." Mathematics shares much in common with many fields in the physical sciences, notably the deductive reasoning, exploration of the logical consequences of assumptions. Intuition (knowledge), Intuition and experimentation also play a role in the formulation of conjectures in both mathematics and the (other) sciences. Experimental mathematics continues to grow in importance within mathematics, and computation and simulation are playing an increasing role in both the sciences and mathematics. Several authors consider that mathematics is not a science because it does not rely on empirical evidence. The opinions of mathematicians on this matter are varied. Many mathematicians feel that to call their area a science is to downplay the importance of its aesthetic side, and its history in the traditional seven liberal arts; others feel that to ignore its connection to the sciences is to turn a blind eye to the fact that the interface between mathematics and its applications in science and engineering has driven much development in mathematics. One way this difference of viewpoint plays out is in the philosophical debate as to whether mathematics is ''created'' (as in art) or ''discovered'' (as in science). In practice, mathematicians are typically grouped with scientists at the gross level but separated at finer levels. This is one of many issues considered in philosophy of mathematics.

# Inspiration, pure and applied mathematics, and aesthetics

Mathematics arises from many different kinds of problems. At first these were found in commerce, land measurement, architecture and later astronomy; today, all sciences pose problems studied by mathematicians, and many problems arise within mathematics itself. For example, the physicist Richard Feynman invented the path integral formulation of quantum mechanics using a combination of mathematical reasoning and physical insight, and today's string theory, a still-developing scientific theory which attempts to unify the four Fundamental interaction, fundamental forces of nature, continues to inspire new mathematics. Some mathematics is relevant only in the area that inspired it, and is applied to solve further problems in that area. But often mathematics inspired by one area proves useful in many areas, and joins the general stock of mathematical concepts. A distinction is often made between pure mathematics and applied mathematics. However pure mathematics topics often turn out to have applications, e.g. number theory in cryptography. This remarkable fact, that even the "purest" mathematics often turns out to have practical applications, is what the physicist Eugene Wigner has named "The Unreasonable Effectiveness of Mathematics in the Natural Sciences, the unreasonable effectiveness of mathematics". The philosopher of mathematics Mark Steiner has written extensively on this matter and acknowledges that the applicability of mathematics constitutes “a challenge to naturalism.” For the philosopher of mathematics Mary Leng, the fact that the physical world acts in accordance with the dictates of non-causal mathematical entities existing beyond the universe is "a happy coincidence". On the other hand, for some anti-realism, anti-realists, connections, which are acquired among mathematical things, just mirror the connections acquiring among objects in the universe, so there is no "happy coincidence". As in most areas of study, the explosion of knowledge in the scientific age has led to specialization: there are now hundreds of specialized areas in mathematics and the latest Mathematics Subject Classification runs to 46 pages. Several areas of applied mathematics have merged with related traditions outside of mathematics and become disciplines in their own right, including statistics, operations research, and computer science. For those who are mathematically inclined, there is often a definite aesthetic aspect to much of mathematics. Many mathematicians talk about the ''elegance'' of mathematics, its intrinsic aesthetics and inner beauty. Simplicity and generality are valued. There is beauty in a simple and elegant proof (mathematics), proof, such as Euclid's proof that there are infinitely many prime numbers, and in an elegant numerical method that speeds up calculation, such as the fast Fourier transform. G. H. Hardy in ''A Mathematician's Apology'' expressed the belief that these aesthetic considerations are, in themselves, sufficient to justify the study of pure mathematics. He identified criteria such as significance, unexpectedness, inevitability, and economy as factors that contribute to a mathematical aesthetic. Mathematical research often seeks critical features of a mathematical object. A theorem expressed as a characterization (mathematics), characterization of an object by these features is the prize. Examples of particularly succinct and revelatory mathematical arguments have been published in ''Proofs from THE BOOK''. The popularity of recreational mathematics is another sign of the pleasure many find in solving mathematical questions. At the other social extreme, philosophers continue to find problems in philosophy of mathematics, such as the nature of mathematical proof.

# Notation, language, and rigor

Most of the mathematical notation in use today was not invented until the 16th century. Before that, mathematics was written out in words, limiting mathematical discovery. Leonhard Euler, Euler (1707–1783) was responsible for many of the notations in use today. Modern notation makes mathematics much easier for the professional, but beginners often find it daunting. According to Barbara Oakley, this can be attributed to the fact that mathematical ideas are both more ''abstract'' and more ''encrypted'' than those of natural language. Unlike natural language, where people can often equate a word (such as ''cow'') with the physical object it corresponds to, mathematical symbols are abstract, lacking any physical analog. Mathematical symbols are also more highly encrypted than regular words, meaning a single symbol can encode a number of different operations or ideas. Language of mathematics, Mathematical language can be difficult to understand for beginners because even common terms, such as ''or'' and ''only'', have a more precise meaning than they have in everyday speech, and other terms such as ''open set, open'' and ''Field (mathematics), field'' refer to specific mathematical ideas, not covered by their laymen's meanings. Mathematical language also includes many technical terms such as ''homeomorphism'' and ''Integral, integrable'' that have no meaning outside of mathematics. Additionally, shorthand phrases such as ''iff'' for "if and only if" belong to mathematical jargon. There is a reason for special notation and technical vocabulary: mathematics requires more precision than everyday speech. Mathematicians refer to this precision of language and logic as "rigor". Mathematical proof is fundamentally a matter of rigor. Mathematicians want their theorems to follow from axioms by means of systematic reasoning. This is to avoid mistaken "theorems", based on fallible intuitions, of which many instances have occurred in the history of the subject. The level of rigor expected in mathematics has varied over time: the Greeks expected detailed arguments, but at the time of Isaac Newton the methods employed were less rigorous. Problems inherent in the definitions used by Newton would lead to a resurgence of careful analysis and formal proof in the 19th century. Misunderstanding the rigor is a notable cause for some of the common misconceptions of mathematics. Today, mathematicians continue to argue among themselves about computer-assisted proofs. Since large computations are hard to verify, such proofs may be erroneous if the used computer program is erroneous. On the other hand, proof assistants allow for the verification of all details that cannot be given in a hand-written proof, and provide certainty of the correctness of long proofs such as that of the Feit–Thompson theorem. Axioms in traditional thought were "self-evident truths", but that conception is problematic. At a formal level, an axiom is just a string of symbols, which has an intrinsic meaning only in the context of all derivable formulas of an axiomatic system. It was the goal of Hilbert's program to put all of mathematics on a firm axiomatic basis, but according to Gödel's incompleteness theorem every (sufficiently powerful) axiomatic system has independence (mathematical logic), undecidable formulas; and so a final axiomatization of mathematics is impossible. Nonetheless, mathematics is often imagined to be (as far as its formal content) nothing but set theory in some axiomatization, in the sense that every mathematical statement or proof could be cast into formulas within set theory.Patrick Suppes, ''Axiomatic Set Theory'', Dover, 1972, . p. 1, "Among the many branches of modern mathematics set theory occupies a unique place: with a few rare exceptions the entities which are studied and analyzed in mathematics may be regarded as certain particular sets or classes of objects."

# Mathematical awards

Arguably the most prestigious award in mathematics is the Fields Medal, established in 1936 and awarded every four years (except around World War II) to as many as four individuals. The Fields Medal is often considered a mathematical equivalent to the Nobel Prize. The Wolf Prize in Mathematics, instituted in 1978, recognizes lifetime achievement, and another major international award, the Abel Prize, was instituted in 2003. The Chern Medal was introduced in 2010 to recognize lifetime achievement. These accolades are awarded in recognition of a particular body of work, which may be innovational, or provide a solution to an outstanding problem in an established field. A famous list of 23 open problems, called "Hilbert's problems", was compiled in 1900 by German mathematician David Hilbert. This list achieved great celebrity among mathematicians, and at least nine of the problems have now been solved. A new list of seven important problems, titled the "Millennium Prize Problems", was published in 2000. Only one of them, the Riemann hypothesis, duplicates one of Hilbert's problems. A solution to any of these problems carries a 1 million dollar reward. Currently, only one of these problems, the Poincaré conjecture, has been solved.

* International Mathematical Olympiad * List of mathematical jargon * Outline of mathematics * Lists of mathematics topics * Mathematical sciences * Mathematics and art * Mathematics education * National Museum of Mathematics * Philosophy of mathematics * Relationship between mathematics and physics * Science, technology, engineering, and mathematics

# Bibliography

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