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ed solutions which led to conjecture of the existence of an unknown particle and the search for these particles in both cases these particles were discovered a few years later by specific experiments 141 142 143 specific sciences physics main article relationship between mathematics and physics diagram of a pendulum mathematics and physics have influenced each other over their modern history modern physics uses mathematics abundantly 144 and is also considered to be the motivation of major mathematical developments 145 computing further information theoretical computer science and computational mathematics computing is closely related to mathematics in several ways 146 theoretical computer science is considered to be mathematical in nature 147 communication technologies apply branches of mathematics that may be very old e g arithmetic especially with respect to transmission security in cryptography and coding theory discrete mathematics is useful in many areas of computer science such as complexity theory information theory and graph theory 148 in 1998 the kepler conjecture on sphere packing seemed to also be partially proven by computer 149 statistics and other decision sciences main articles statistics and probability theory whatever the form of a random population distribution μ the sampling mean x̄ tends to a gaussian distribution and its variance σ is given by the central limit theorem of probability theory 150 the field of statistics is a mathematical application that is employed for the collection and processing of data samples using procedures based on mathematical methods such as and especially probability theory statisticians generate data with random sampling or randomized experiments 151 statistical theory studies decision problems such as minimizing the risk expected loss of a statistical action such as using a procedure in for example parameter estimation hypothesis testing and 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 152 because of its use of optimization the mathematical theory of statistics overlaps with other decision sciences such as operations research control theory and mathematical economics 153 biology and chemistry main articles mathematical and theoretical biology and mathematical chemistry the skin of this giant pufferfish exhibits a turing pattern which can be modeled by reaction diffusion systems biology uses probability extensively in fields such as ecology or neurobiology 154 most discussion of probability centers on the concept of evolutionary fitness 154 ecology heavily uses modeling to simulate population dynamics 154 155 study ecosystems such as the predator prey model measure pollution diffusion 156 or to assess climate change 157 the dynamics of a population can be modeled by coupled differential equations such as the lotka volterra equations 158 statistical hypothesis testing is run on data from clinical trials to determine whether a new treatment works 159 since the start of the 20th century chemistry has used computing to model molecules in three dimensions 160 earth sciences main article geomathematics structural geology and climatology use probabilistic models to predict the risk of natural catastrophes 161 similarly meteorology oceanography and planetology also use mathematics due to their heavy use of models 162 163 164 social sciences further information mathematical economics and historical dynamics areas of mathematics used in the social sciences include probability statistics and differential equations these are used in linguistics economics sociology 165 and psychology 166 supply and demand curves like this one are a staple of mathematical economics often the fundamental postulate of mathematical economics is that of the rational individual actor homo economicus lit economic man 167 in this model the individual seeks to maximize their self interest 167 and always makes optimal choices using perfect information 168 this atomistic view of economics allows it to relatively easily mathematize its thinking because individual calculations are transposed into mathematical calculations such mathematical modeling allows one to probe economic mechanisms some reject or criticize the concept of homo economicus economists note that real people have limited information make poor choices and care about fairness and altruism not just personal gain 169 without mathematical modeling it is hard to go beyond statistical observations or untestable speculation mathematical modeling allows economists to create structured frameworks to test hypotheses and analyze complex interactions models provide clarity and precision enabling the translation of theoretical concepts into quantifiable predictions that can be tested against real world data 170 at the start of the 20th century there was a development to express historical movements in formulas in 1922 nikolai kondratiev discerned the 50 year long kondratiev cycle which explains phases of economic growth or crisis 171 towards the end of the 19th century mathematicians extended their analysis into geopolitics 172 peter turchin developed cliodynamics in the 1990s 173 mathematization of the social sciences is not without risk in the controversial book fashionable nonsense 1997 sokal and bricmont denounced the unfounded or abusive use of scientific terminology particularly from mathematics or physics in the social sciences 174 the study of complex systems evolution of unemployment business capital demographic evolution of a population etc uses mathematical knowledge however the choice of counting criteria particularly for unemployment or of models can be subject to controversy 175 176 philosophy main article philosophy of mathematics reality the connection between mathematics and material reality has led to philosophical debates since at least the time of pythagoras the ancient philosopher plato argued that abstractions that reflect material reality have themselves a reality that exists outside space and time as a result the philosophical view that mathematical objects somehow exist on their own in abstraction is often referred to as platonism independently of their possible philosophical opinions modern mathematicians may be generally considered as platonists since they think of and talk of their objects of study as real objects 177 armand borel summarized this view of mathematics reality as follows and provided quotations of g h hardy charles hermite henri poincaré and albert einstein that support his views 141 something becomes objective as opposed to subjective as soon as we are convinced that it exists in the minds of others in the same form as it does in ours and that we can think about it and discuss it together 178 because the language of mathematics is so precise it is ideally suited to defining concepts for which such a consensus exists in my opinion that is sufficient to provide us with a feeling of an objective existence of a reality of mathematics nevertheless platonism and the concurrent views on abstraction do not explain the unreasonable effectiveness of mathematics as platonism assumes mathematics exists independently but does not explain why it matches reality 179 proposed definitions main article definitions of mathematics there is no general consensus about the definition of mathematics or its epistemological status that is its place inside knowledge 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 180 181 a common approach is to define mathematics by its object of study 182 183 184 185 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 186 in the 19th century when mathematicians began to address topics such as infinite sets which have no clear cut relation to physical reality a variety of new definitions were given 187 with the large number of new areas of mathematics that have appeared since the beginning of the 20th century defining mathematics by its object of study has become increasingly difficult 188 for example in lieu of a definition saunders mac lane in mathematics form and function summarizes the basics of several areas of mathematics emphasizing their inter connectedness and observes 189 the development of mathematics provides a tightly connected network of formal rules concepts and systems nodes of this network are closely bound to procedures useful in human activities and to questions arising in science the transition from activities to the formal mathematical systems is guided by a variety of general insights and ideas another approach for defining mathematics is to use its methods for example an area of study is often qualified as mathematics as soon as one can prove theorems assertions whose validity relies on a proof that is a purely logical deduction d 190 failed verification rigor see also logic mathematical reasoning requires rigor this means that the definitions must be absolutely unambiguous and the proofs must be reducible to a succession of applications of inference rules e without any use of empirical evidence and intuition f 191 rigorous reasoning is not specific to mathematics but in mathematics the standard of rigor is much higher than elsewhere despite mathematics concision rigorous proofs can require hundreds of pages to express such as the 255 page feit thompson theorem g the emergence of computer assisted proofs has allowed proof lengths to further expand h 192 the result of this trend is a philosophy of the quasi empiricist proof that can not be considered infallible but has a probability attached to it 8 the concept of rigor in mathematics dates back to ancient greece where their society encouraged logical deductive reasoning however this rigorous approach would tend to discourage exploration of new approaches such as irrational numbers and concepts of infinity the method of demonstrating rigorous proof was enhanced in the sixteenth century through the use of symbolic notation in the 18th century social transition led to mathematicians earning their keep through teaching which led to more careful thinking about the underlying concepts of mathematics this produced more rigorous approaches while transitioning from geometric methods to algebraic and then arithmetic proofs 8 at the end of the 19th century it appeared that the definitions of the basic concepts of mathematics were not accurate enough for avoiding paradoxes non euclidean geometries and weierstrass function and contradictions russell s paradox this was solved by the inclusion of axioms with the apodictic inference rules of mathematical theories the re introduction of axiomatic method pioneered by the ancient greeks 8 it results that rigor is no more a relevant concept in mathematics as a proof is either correct or erroneous and a rigorous proof is simply a pleonasm where a special concept of rigor comes into play is in the socialized aspects of a proof wherein it may be demonstrably refuted by other mathematicians after a proof has been accepted for many years or even decades it can then be considered as reliable 193 nevertheless the concept of rigor may remain useful for teaching to beginners what is a mathematical proof 194 training and practice see also computer based mathematics education education main article mathematics education mathematics has a remarkable ability to cross cultural boundaries and time periods as a human activity the practice of mathematics has a social side which includes education careers recognition popularization and so on in education mathematics is a core part of the curriculum and forms an important element of the stem academic disciplines prominent careers for professional mathematicians include mathematics teacher or professor statistician actuary financial analyst economist accountant commodity trader or computer consultant 195 archaeological evidence shows that instruction in mathematics occurred as early as the second millennium bce in ancient babylonia 196 comparable evidence has been unearthed for scribal mathematics training in the ancient near east and then for the greco roman world starting around 300 bce 197 the oldest known mathematics textbook is the rhind papyrus dated from c 1650 bce in egypt 198 due to a scarcity of books mathematical teachings in ancient india were communicated using memorized oral tradition since the vedic period c 1500 c 500 bce 199 in imperial china during the tang dynasty 618 907 ce a mathematics curriculum was adopted for the civil service exam to join the state bureaucracy 200 following the dark ages mathematics education in europe was provided by religious schools as part of the quadrivium the oldest journal addressing instruction in mathematics was l enseignement mathématique which began publication in 1899 201 the western advancements in science and technology led to the establishment of centralized education systems in many nation states with mathematics as a core component initially for its military applications 202 while the content of courses varies in the present day nearly all countries teach mathematics to students for significant amounts of time 203 during school mathematical capabilities and positive expectations have a strong association with career interest in the field extrinsic factors such as feedback motivation by teachers parents and peer groups can influence the level of interest in mathematics 204 some students studying mathematics may develop an apprehension or fear about their performance in the subject this is known as mathematical anxiety and is considered the most prominent of the disorders impacting academic performance mathematical anxiety can develop due to various factors such as parental and teacher attitudes social stereotypes and personal traits help to counteract the anxiety can come from changes in instructional approaches by interactions with parents and teachers and by tailored treatments for the individual 205 psychology aesthetic creativity and intuition the validity of a mathematical theorem relies only on the rigor of its proof which could theoretically be done automatically by a computer program this does not mean that there is no place for creativity in a mathematical work on the contrary many important mathematical results theorems are solutions...
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