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{{short description|Branch of mathematics}}File:Attracteur Ã©trange de Lorenz.png|thumb|upright=1.2|A strange attractor arising from a differential equation. Differential equations are an important area of mathematical analysis with many applications to science and engineeringengineeringMathematical analysis is the branch of mathematics dealing with limitsand related theories, such as differentiation, integration, measure, infinite series, and analytic functions.Edwin Hewitt and Karl Stromberg, "Real and Abstract Analysis", Springer-Verlag, 1965ENCYCLOPEDIA, analysis {{!, mathematics|url =weblink|accessdate = 2015-07-31|encyclopedia = EncyclopÃ¦dia Britannica|last = Stillwell|first = John Colin}}These theories are usually studied in the context of real and complex numbers and functions. Analysis evolved from calculus, which involves the elementary concepts and techniques of analysis.Analysis may be distinguished from geometry; however, it can be applied to any space of mathematical objects that has a definition of nearness (a topological space) or specific distances between objects (a metric space).

## History

, On an untapped source of medieval Keralese Mathematics
, C.T.
, Rajagopal
, M.S.
, Rangachari
, Archive for History of Exact Sciences
, 18, 2
, June 1978
, 89â€“102, 10.1007/BF00348142, 2019-08-18
, Alongside his development of the Taylor series of the trigonometric functions, he also estimated the magnitude of the error terms created by truncating these series and gave a rational approximation of an infinite series. His followers at the Kerala School of Astronomy and Mathematics further expanded his works, up to the 16th century.
The modern foundations of mathematical analysis were established in 17th century Europe. Descartes and Fermat independently developed analytic geometry, and a few decades later Newton and Leibniz independently developed infinitesimal calculus, which grew, with the stimulus of applied work that continued through the 18th century, into analysis topics such as the calculus of variations, ordinary and partial differential equations, Fourier analysis, and generating functions. During this period, calculus techniques were applied to approximate discrete problems by continuous ones.In the 18th century, Euler introduced the notion of mathematical function.BOOK, Dunham, William, Euler: The Master of Us All, 1999, The Mathematical Association of America, 17, Real analysis began to emerge as an independent subject when Bernard Bolzano introduced the modern definition of continuity in 1816,*BOOK, Roger, Cooke, Roger Cooke, The History of Mathematics: A Brief Course, Wiley-Interscience, 1997, 978-0-471-18082-1, 379, Beyond the Calculus, Real analysis began its growth as an independent subject with the introduction of the modern definition of continuity in 1816 by the Czech mathematician Bernard Bolzano (1781â€“1848),weblink but Bolzano's work did not become widely known until the 1870s. In 1821, Cauchy began to put calculus on a firm logical foundation by rejecting the principle of the generality of algebra widely used in earlier work, particularly by Euler. Instead, Cauchy formulated calculus in terms of geometric ideas and infinitesimals. Thus, his definition of continuity required an infinitesimal change in x to correspond to an infinitesimal change in y. He also introduced the concept of the Cauchy sequence, and started the formal theory of complex analysis. Poisson, Liouville, Fourier and others studied partial differential equations and harmonic analysis. The contributions of these mathematicians and others, such as Weierstrass, developed the (Îµ, Î´)-definition of limit approach, thus founding the modern field of mathematical analysis.In the middle of the 19th century Riemann introduced his theory of integration. The last third of the century saw the arithmetization of analysis by Weierstrass, who thought that geometric reasoning was inherently misleading, and introduced the "epsilon-delta" definition of limit.Then, mathematicians started worrying that they were assuming the existence of a continuum of real numbers without proof. Dedekind then constructed the real numbers by Dedekind cuts, in which irrational numbers are formally defined, which serve to fill the "gaps" between rational numbers, thereby creating a complete set: the continuum of real numbers, which had already been developed by Simon Stevin in terms of decimal expansions. Around that time, the attempts to refine the theorems of Riemann integration led to the study of the "size" of the set of discontinuities of real functions.Also, "monsters" (nowhere continuous functions, continuous but nowhere differentiable functions, space-filling curves) began to be investigated. In this context, Jordan developed his theory of measure, Cantor developed what is now called naive set theory, and Baire proved the Baire category theorem. In the early 20th century, calculus was formalized using an axiomatic set theory. Lebesgue solved the problem of measure, and Hilbert introduced Hilbert spaces to solve integral equations. The idea of normed vector space was in the air, and in the 1920s Banach created functional analysis.

## Important concepts

### Metric spaces

In mathematics, a metric space is a set where a notion of distance (called a metric) between elements of the set is defined.Much of analysis happens in some metric space; the most commonly used are the real line, the complex plane, Euclidean space, other vector spaces, and the integers. Examples of analysis without a metric include measure theory (which describes size rather than distance) and functional analysis (which studies topological vector spaces that need not have any sense of distance).Formally, a metric space is an ordered pair (M,d) where M is a set and d is a metric on M, i.e., a function
d colon M times M rightarrow mathbb{R}
such that for any x, y, z in M, the following holds:
1. d(x,y) = 0 if and only if x = y    (identity of indiscernibles),
2. d(x,y) = d(y,x)    (symmetry), and
3. d(x,z) le d(x,y) + d(y,z)    (triangle inequality).
By taking the third property and letting z=x, it can be shown that d(x,y) ge 0     (non-negative).

### Sequences and limits

A sequence is an ordered list. Like a set, it contains members (also called elements, or terms). Unlike a set, order matters, and exactly the same elements can appear multiple times at different positions in the sequence. Most precisely, a sequence can be defined as a function whose domain is a countable totally ordered set, such as the natural numbers.One of the most important properties of a sequence is convergence. Informally, a sequence converges if it has a limit. Continuing informally, a (singly-infinite) sequence has a limit if it approaches some point x, called the limit, as n becomes very large. That is, for an abstract sequence (a'n) (with n running from 1 to infinity understood) the distance between a'n and x approaches 0 as n â†’ âˆž, denoted
lim_{ntoinfty} a_n = x.

## Main branches

### Real analysis

Real analysis (traditionally, the theory of functions of a real variable) is a branch of mathematical analysis dealing with the real numbers and real-valued functions of a real variable.BOOK, Rudin, Walter, Walter Rudin, Principles of Mathematical Analysis, Walter Rudin Student Series in Advanced Mathematics, 3rd, McGrawâ€“Hill, 978-0-07-054235-8, BOOK, Abbott, Stephen, Understanding Analysis, Undergraduate Texts in Mathematics, 978-0-387-95060-0, 2001, New York, Springer-Verlag, In particular, it deals with the analytic properties of real functions and sequences, including convergence and limits of sequences of real numbers, the calculus of the real numbers, and continuity, smoothness and related properties of real-valued functions.

### Complex analysis

Complex analysis, traditionally known as the theory of functions of a complex variable, is the branch of mathematical analysis that investigates functions of complex numbers.BOOK, Ahlfors, L., Lars Ahlfors, Complex Analysis, New York, McGraw-Hill, 3rd, 1979, 978-0-07-000657-7,weblink It is useful in many branches of mathematics, including algebraic geometry, number theory, applied mathematics; as well as in physics, including hydrodynamics, thermodynamics, mechanical engineering, electrical engineering, and particularly, quantum field theory.Complex analysis is particularly concerned with the analytic functions of complex variables (or, more generally, meromorphic functions). Because the separate real and imaginary parts of any analytic function must satisfy Laplace's equation, complex analysis is widely applicable to two-dimensional problems in physics.

### Functional analysis

Functional analysis is a branch of mathematical analysis, the core of which is formed by the study of vector spaces endowed with some kind of limit-related structure (e.g. inner product, norm, topology, etc.) and the linear operators acting upon these spaces and respecting these structures in a suitable sense.BOOK, Rudin, Walter, Walter Rudin, Functional Analysis, McGraw-Hill Science, 1991, 978-0-07-054236-5,weblink BOOK, Conway, J. B., John B. Conway, A Course in Functional Analysis, 2nd, Springer-Verlag, 1994, 978-0-387-97245-9,weblink The historical roots of functional analysis lie in the study of spaces of functions and the formulation of properties of transformations of functions such as the Fourier transform as transformations defining continuous, unitary etc. operators between function spaces. This point of view turned out to be particularly useful for the study of differential and integral equations.

### Differential equations

A differential equation is a mathematical equation for an unknown function of one or several variables that relates the values of the function itself and its derivatives of various orders.BOOK, Edward L., Ince, Ordinary Differential Equations, Dover Publications, 1956, 978-0-486-60349-0,weblink Witold Hurewicz, Lectures on Ordinary Differential Equations, Dover Publications, {{isbn|0-486-49510-8}}{{Citation |authorlink=Lawrence C. Evans |first=L.C. |last=Evans |title=Partial Differential Equations |publisher=American Mathematical Society |location=Providence |year=1998 |isbn=978-0-8218-0772-9 }} Differential equations play a prominent role in engineering, physics, economics, biology, and other disciplines.Differential equations arise in many areas of science and technology, specifically whenever a deterministic relation involving some continuously varying quantities (modeled by functions) and their rates of change in space or time (expressed as derivatives) is known or postulated. This is illustrated in classical mechanics, where the motion of a body is described by its position and velocity as the time value varies. Newton's laws allow one (given the position, velocity, acceleration and various forces acting on the body) to express these variables dynamically as a differential equation for the unknown position of the body as a function of time. In some cases, this differential equation (called an equation of motion) may be solved explicitly.

### Measure theory

A measure on a set is a systematic way to assign a number to each suitable subset of that set, intuitively interpreted as its size.BOOK, Terence Tao, Terence, Tao, 2011, An Introduction to Measure Theory, American Mathematical Society, 978-0-8218-6919-2,weblink In this sense, a measure is a generalization of the concepts of length, area, and volume. A particularly important example is the Lebesgue measure on a Euclidean space, which assigns the conventional length, area, and volume of Euclidean geometry to suitable subsets of the n-dimensional Euclidean space mathbb{R}^n. For instance, the Lebesgue measure of the interval left[0, 1right] in the real numbers is its length in the everyday sense of the wordâ€‰â€“â€‰specifically, 1.Technically, a measure is a function that assigns a non-negative real number or +âˆž to (certain) subsets of a set X. It must assign 0 to the empty set and be (countably) additive: the measure of a 'large' subset that can be decomposed into a finite (or countable) number of 'smaller' disjoint subsets, is the sum of the measures of the "smaller" subsets. In general, if one wants to associate a consistent size to each subset of a given set while satisfying the other axioms of a measure, one only finds trivial examples like the counting measure. This problem was resolved by defining measure only on a sub-collection of all subsets; the so-called measurable subsets, which are required to form a sigma-algebra. This means that countable unions, countable intersections and complements of measurable subsets are measurable. Non-measurable sets in a Euclidean space, on which the Lebesgue measure cannot be defined consistently, are necessarily complicated in the sense of being badly mixed up with their complement. Indeed, their existence is a non-trivial consequence of the axiom of choice.

### Numerical analysis

Numerical analysis is the study of algorithms that use numerical approximation (as opposed to general symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics).BOOK, Hildebrand, F.B., Francis B. Hildebrand, Introduction to Numerical Analysis, 2nd, 1974, McGraw-Hill, 978-0-07-028761-7, Modern numerical analysis does not seek exact answers, because exact answers are often impossible to obtain in practice. Instead, much of numerical analysis is concerned with obtaining approximate solutions while maintaining reasonable bounds on errors.Numerical analysis naturally finds applications in all fields of engineering and the physical sciences, but in the 21st century, the life sciences and even the arts have adopted elements of scientific computations. Ordinary differential equations appear in celestial mechanics (planets, stars and galaxies); numerical linear algebra is important for data analysis; stochastic differential equations and Markov chains are essential in simulating living cells for medicine and biology.

## Applications

Techniques from analysis are also found in other areas such as:

### Physical sciences

The vast majority of classical mechanics, relativity, and quantum mechanics is based on applied analysis, and differential equations in particular. Examples of important differential equations include Newton's second law, the SchrÃ¶dinger equation, and the Einstein field equations.Functional analysis is also a major factor in quantum mechanics.

### Signal processing

When processing signals, such as audio, radio waves, light waves, seismic waves, and even images, Fourier analysis can isolate individual components of a compound waveform, concentrating them for easier detection or removal. A large family of signal processing techniques consist of Fourier-transforming a signal, manipulating the Fourier-transformed data in a simple way, and reversing the transformation.BOOK, Theory and Application of Digital Signal Processing, Rabiner, L.R., Gold, B., Englewood Cliffs, NJ, Prentice-Hall, 1975, 978-0-13-914101-0,weblink

### Other areas of mathematics

Techniques from analysis are used in many areas of mathematics, including:

{{reflist}}

## References

• BOOK, Aleksandrov, A.D., Kolmogorov, A.N., Lavrent'ev, M.A., 1984, Mathematics, its Content, Methods, and Meaning, 2nd, S.H., Gould, K.A., Hirsch, T., Bartha, Translation edited by S.H. Gould, MIT Press; published in cooperation with the American Mathematical Society,
• BOOK, Apostol, Tom M., 1974, Mathematical Analysis, 2nd, Addisonâ€“Wesley, 978-0-201-00288-1,
• BOOK, Binmore, K.G., 1980â€“1981, The foundations of analysis: a straightforward introduction, Cambridge University Press,
• BOOK, Johnsonbaugh, Richard, Richard Johnsonbaugh, W.E., Pfaffenberger, 1981, Foundations of mathematical analysis, New York, M. Dekker,
• BOOK, Nicola Fusco, Paolo Marcellini, Carlo Sbordone, 1996, Analisi Matematica Due, Italian, Liguori Editore, 978-88-207-2675-1,
• BOOK,weblink Principles of Mathematical Analysis, Rudin, Walter, McGraw-Hill, 1976, 978-0-07-054235-8, 3rd, New York,
• BOOK,weblink Real and Complex Analysis, Rudin, Walter, McGraw-Hill, 1987, 978-0-07-054234-1, 3rd, New York,
• BOOK, Smith, David E., 1958, History of Mathematics, Dover Publications, 978-0-486-20430-7, harv,
• BOOK, E. T. Whittaker, Whittaker, E.T., G. N. Watson, Watson
year=1927edition=4thisbn=978-0-521-58807-2, Whittaker and Watson,
• WEB,weblink Real Analysis - Course Notes,

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