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Integral
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{{aboutthe concept of definite integrals in calculusthe indefinite integralantiderivativethe set of numbersintegerother usesIntegral (disambiguation)}}{{RedirectArea under the curvethe pharmacology integralArea under the curve (pharmacokinetics)}}(File:Integral example.svgthumb300pxA definite integral of a function can be represented as the signed area of the region bounded by its graph.alt=Definite integral example){{CalculusIntegral}}In mathematics, an integral assigns numbers to functions in a way that can describe displacement, area, volume, and other concepts that arise by combining infinitesimal data. Integration is one of the two main operations of calculus, with its inverse operation, differentiation, being the other. Given a function {{mvarf}} of a real variable {{mvarx}} and an interval {{math[a, b]}} of the real line, the definite integral
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int_a^b f(x),dx
is defined informally as the signed area of the region in the {{mvarxy}}plane that is bounded by the graph of {{mvarf}}, the {{mvarx}}axis and the vertical lines {{mathx {{=}} a}} and {{mathx {{=}} b}}. The area above the {{mvarx}}axis adds to the total and that below the {{mvarx}}axis subtracts from the total.The operation of integration, up to an additive constant, is the inverse of the operation of differentiation. For this reason, the term integral may also refer to the related notion of the antiderivative, a function {{mvarF}} whose derivative is the given function {{mvarf}}. In this case, it is called an indefinite integral and is written:
F(x) = int f(x),dx.
The integrals discussed in this article are those termed definite integrals. It is the fundamental theorem of calculus that connects differentiation with the definite integral: if {{mvarf}} is a continuous realvalued function defined on a closed interval {{math[a, b]}}, then, once an antiderivative {{mvarF}} of {{mvarf}} is known, the definite integral of {{mvarf}} over that interval is given by
int_a^b , f(x) dx = left[ F(x) right]_{a}^{b} = F(b)  F(a) , .
The principles of integration were formulated independently by Isaac Newton and Gottfried Wilhelm Leibniz in the late 17th century, who thought of the integral as an infinite sum of rectangles of infinitesimal width. Bernhard Riemann gave a rigorous mathematical definition of integrals. It is based on a limiting procedure that approximates the area of a curvilinear region by breaking the region into thin vertical slabs. Beginning in the 19th century, more sophisticated notions of integrals began to appear, where the type of the function as well as the domain over which the integration is performed has been generalised. A line integral is defined for functions of two or more variables, and the interval of integration {{math[a, b]}} is replaced by a curve connecting the two endpoints. In a surface integral, the curve is replaced by a piece of a surface in threedimensional space.History
{{See alsoHistory of calculus}}Precalculus integration
The first documented systematic technique capable of determining integrals is the method of exhaustion of the ancient Greek astronomer Eudoxus (ca. 370 BC), which sought to find areas and volumes by breaking them up into an infinite number of divisions for which the area or volume was known. This method was further developed and employed by Archimedes in the 3rd century BC and used to calculate areas for parabolas and an approximation to the area of a circle.A similar method was independently developed in China around the 3rd century AD by Liu Hui, who used it to find the area of the circle. This method was later used in the 5th century by Chinese fatherandson mathematicians Zu Chongzhi and Zu Geng to find the volume of a sphere ({{harvnbShea  2007}}; {{harvnbKatz2004pp=125â€“126}}).In the Middle East, Hasan Ibn alHaytham, Latinized as Alhazen ({{c.lk=no9651040}} {{scce}}) derived a formula for the sum of fourth powers. He used the results to carry out what would now be called an integration of this function, where the formulae for the sums of integral squares and fourth powers allowed him to calculate the volume of a paraboloid.Katz, V.J. 1995. "Ideas of Calculus in Islam and India." Mathematics Magazine (Mathematical Association of America), 68(3):163â€“174.The next significant advances in integral calculus did not begin to appear until the 17th century. At this time, the work of Cavalieri with his method of Indivisibles, and work by Fermat, began to lay the foundations of modern calculus, with Cavalieri computing the integrals of {{mathxn}} up to degree {{mathn {{=}} 9}} in Cavalieri's quadrature formula. Further steps were made in the early 17th century by Barrow and Torricelli, who provided the first hints of a connection between integration and differentiation. Barrow provided the first proof of the fundamental theorem of calculus. Wallis generalized Cavalieri's method, computing integrals of {{mvarx}} to a general power, including negative powers and fractional powers.Newton and Leibniz
The major advance in integration came in the 17th century with the independent discovery of the fundamental theorem of calculus by Newton and Leibniz. The theorem demonstrates a connection between integration and differentiation. This connection, combined with the comparative ease of differentiation, can be exploited to calculate integrals. In particular, the fundamental theorem of calculus allows one to solve a much broader class of problems. Equal in importance is the comprehensive mathematical framework that both Newton and Leibniz developed. Given the name infinitesimal calculus, it allowed for precise analysis of functions within continuous domains. This framework eventually became modern calculus, whose notation for integrals is drawn directly from the work of Leibniz.Formalization
While Newton and Leibniz provided a systematic approach to integration, their work lacked a degree of rigour. Bishop Berkeley memorably attacked the vanishing increments used by Newton, calling them "ghosts of departed quantities". Calculus acquired a firmer footing with the development of limits. Integration was first rigorously formalized, using limits, by Riemann. Although all bounded piecewise continuous functions are Riemannintegrable on a bounded interval, subsequently more general functions were consideredâ€”particularly in the context of Fourier analysisâ€”to which Riemann's definition does not apply, and Lebesgue formulated a different definition of integral, founded in measure theory (a subfield of real analysis). Other definitions of integral, extending Riemann's and Lebesgue's approaches, were proposed. These approaches based on the real number system are the ones most common today, but alternative approaches exist, such as a definition of integral as the standard part of an infinite Riemann sum, based on the hyperreal number system.Historical notation
Isaac Newton used a small vertical bar above a variable to indicate integration, or placed the variable inside a box. The vertical bar was easily confused with {{math{{overset.x}}}} or {{mathxâ€²}}, which are used to indicate differentiation, and the box notation was difficult for printers to reproduce, so these notations were not widely adopted.The modern notation for the indefinite integral was introduced by Gottfried Wilhelm Leibniz in 1675 ({{HarvnbBurton1988loc=p. 359}}; {{HarvnbLeibniz1899loc=p. 154}}). He adapted the integral symbol, âˆ«, from the letter Å¿ (long s), standing for summa (written as Å¿umma; Latin for "sum" or "total"). The modern notation for the definite integral, with limits above and below the integral sign, was first used by Joseph Fourier in MÃ©moires of the French Academy around 1819â€“20, reprinted in his book of 1822 ({{HarvnbCajori1929loc=pp. 249â€“250}}; {{HarvnbFourier1822loc=Â§231}}).Applications
Integrals are used extensively in many areas of mathematics as well as in many other areas that rely on mathematics.For example, in probability theory, integrals are used to determine the probability of some random variable falling within a certain range. Moreover, the integral under an entire probability density function must equal 1, which provides a test of whether a function with no negative values could be a density function or not.Integrals can be used for computing the area of a twodimensional region that has a curved boundary, as well as computing the volume of a threedimensional object that has a curved boundary. The area of a twodimensional region can be calculated using the aforementioned definite integral.The volume of a threedimensional object such as a disc or washer, as outlined in Disc integration can be computed using the equation for the volume of a cylinder, pi r^2 h , where r is the radius, which in this case would be the distance from the curve of a function to the line about which it is being rotated. For a simple disc, the radius will be the equation of the function minus the given xvalue or yvalue of the line. For instance, the radius of a disc created by rotating a quadratic y = x^2 + 4 around the line y = 1 would be given by the expression x^2 + 4 (1)or x^2 + 5. In order to find the volume for this same shape, an integral with bounds a and b such that a and b are intersections of the line y = x^2 + 4 and y = 1 would be used as follows:pi int_{a}^{b} (x^2 + 5)^2 dxThe components of the above integral represent the variables in the equation for the volume of a cylinder, pi r^2 h . The constant pi is factored out, while the radius, x^2 + 5, is squared within the integral. The height, represented in the volume formula by h, is given in this integral by the infinitesimally small (in order to approximate the volume with the greatest possible accuracy) term dx.Integrals are also used in physics, in areas like kinematics to find quantities like displacement, time, and velocity. For example, in rectilinear motion, the displacement of an object over the time interval [a,b] is given by:
x(b)x(a) = int_a^b v(t) ,dt,
where v(t) is the velocity expressed as a function of time. The work done by a force F(x) (given as a function of position) from an initial position A to a final position B is:
W_{Arightarrow B} = int_A^B F(x),dx.
Integrals are also used in thermodynamics, where thermodynamic integration is used to calculate the difference in free energy between two given states.Terminology and notation
Standard
The integral with respect to {{mvarx}} of a realvalued function {{mathf(x)}} of a real variable {{mvarx}} on the interval {{math[a, b]}} is written as
displaystyle int_a^b f(x),dx.
The integral sign {{mathâˆ«}} represents integration. The symbol {{mvardx}}, called the differential of the variable {{mvarx}}, indicates that the variable of integration is {{mvarx}}. The function {{mathf(x)}} to be integrated is called the integrand. The symbol {{mvardx}} is separated from the integrand by a space (as shown). If a function has an integral, it is said to be integrable. The points {{mvara}} and {{mvarb}} are called the limits of the integral. An integral where the limits are specified is called a definite integral. The integral is said to be over the interval {{math[a, b]}}.If the integral goes from a finite value a to the upper limit infinity, the integral expresses the limit of the integral from a to a value b as b goes to infinity. If the value of the integral gets closer and closer to a finite value, the integral is said to converge to that value. If not, the integral is said to diverge.When the limits are omitted, as in
int f(x) ,dx,
the integral is called an indefinite integral, which represents a class of functions (the antiderivative) whose derivative is the integrand. The fundamental theorem of calculus relates the evaluation of definite integrals to indefinite integrals. Occasionally, limits of integration are omitted for definite integrals when the same limits occur repeatedly in a particular context. Usually, the author will make this convention clear at the beginning of the relevant text.There are several extensions of the notation for integrals to encompass integration on unbounded domains and/or in multiple dimensions (see later sections of this article).Meaning of the symbol dx
Historically, the symbol dx was taken to represent an infinitesimally "small piece" of the independent variable x to be multiplied by the integrand and summed up in an infinite sense. While this notion is still heuristically useful, later mathematicians have deemed infinitesimal quantities to be untenable from the standpoint of the real number system.In the 20th century, nonstandard analysis was developed as a new approach to calculus that incorporates a rigorous concept of infinitesimals by using an expanded number system called the hyperreal numbers. Though placed on a sound axiomatic footing and of interest in its own right as a new area of investigation, nonstandard analysis remains somewhat controversial from a pedagogical standpoint, with proponents pointing out the intuitive nature of infinitesimals for beginning students of calculus and opponents criticizing the logical complexity of the system as a whole. In introductory calculus, the expression dx is therefore not assigned an independent meaning; instead, it is viewed as part of the symbol for integration and serves as its delimiter on the right side of the expression being integrated.In more sophisticated contexts, dx can have its own significance, the meaning of which depending on the particular area of mathematics being discussed. When used in one of these ways, the original Leibnitz notation is coopted to apply to a generalization of the original definition of the integral. Some common interpretations of dx include: an integrator function in RiemannStieltjes integration (indicated by dÎ±(x) in general), a measure in Lebesgue theory (indicated by dÎ¼ in general), or a differential form in exterior calculus (indicated by dx^{i_1}wedgecdotswedge dx^{i_k} in general). In the last case, even the letter d has an independent meaning â€” as the exterior derivative operator on differential forms.Conversely, in advanced settings, it is not uncommon to leave out dx when only the simple Riemann integral is being used, or the exact type of integral is immaterial. For instance, one might write int_a^b (c_1f+c_2g) = c_1int_a^b f + c_2int_a^b g to express the linearity of the integral, a property shared by the Riemann integral and all generalizations thereof.Variants
In modern Arabic mathematical notation, a reflected integral symbol (File:ArabicIntegralSign.svg16px) is used instead of the symbol {{mathâˆ«}}, since the Arabic script and mathematical expressions go right to left.{{HarvW3C2006}}.Some authors, particularly of European origin, use an upright "d" to indicate the variable of integration (i.e., {{mathdx}} instead of {{mathdx}}), since properly speaking, "d" is not a variable.The symbol {{mvardx}} is not always placed after {{mathf(x)}}, as for instance in
intlimits_0^1 frac{3 dx}{x^2+1}quad or quadint_{0}^{1} dx int_{0}^{1} dy e^{(x^2+y^2)} .
In the first expression, the differential is treated as an infinitesimal "multiplicative" factor, formally following a "commutative property" when "multiplied" by the expression 3/(x2+1). In the second expression, showing the differentials first highlights and clarifies the variables that are being integrated with respect to, a practice particularly popular with physicists.Interpretations of the integral
Integrals appear in many practical situations. If a swimming pool is rectangular with a flat bottom, then from its length, width, and depth we can easily determine the volume of water it can contain (to fill it), the area of its surface (to cover it), and the length of its edge (to rope it). But if it is oval with a rounded bottom, all of these quantities call for integrals. Practical approximations may suffice for such trivial examples, but precision engineering (of any discipline) requires exact and rigorous values for these elements.(File:Integral approximations.svgthumbrightApproximations to integral of {{radic{{mvarx}}}} from 0 to 1, with 5 â– (yellow) right endpoint partitions and 12 â– (green) left endpoint partitionsalt=Integral approximation example)To start off, consider the curve {{mathy {{=}} f(x)}} between {{mathx {{=}} 0}} and {{mathx {{=}} 1}} with {{mathf(x) {{=}} {{sqrtx}}}} (see figure). We ask:
What is the area under the function {{mvarf}}, in the interval from 0 to 1?
and call this (yet unknown) area the (definite) integral of {{mvarf}}. The notation for this integral will be
int_0^1 sqrt{x} dx.
As a first approximation, look at the unit square given by the sides {{mathx {{=}} 0}} to {{mathx {{=}} 1}} and {{mathy {{=}} f(0) {{=}} 0}} and {{mathy {{=}} f(1) {{=}} 1}}. Its area is exactly 1. Actually, the true value of the integral must be somewhat less than 1. Decreasing the width of the approximation rectangles and increasing the number of rectangles gives a better result; so cross the interval in five steps, using the approximation points 0, 1/5, 2/5, and so on to 1. Fit a box for each step using the right end height of each curve piece, thus {{math{{sqrt1/5}}}}, {{math{{sqrt2/5}}}}, and so on to {{math{{sqrt1}} {{=}} 1}}. Summing the areas of these rectangles, we get a better approximation for the sought integral, namely
textstyle sqrt{frac{1}{5}}left(frac{1}{5}0right)+sqrt{frac{2}{5}}left(frac{2}{5}frac{1}{5}right)+cdots+sqrt{frac{5}{5}}left(frac{5}{5}frac{4}{5}right)approx 0.7497.
We are taking a sum of finitely many function values of {{mvarf}}, multiplied with the differences of two subsequent approximation points. We can easily see that the approximation is still too large. Using more steps produces a closer approximation, but will always be too high and will never be exact. Alternatively, replacing these subintervals by ones with the left end height of each piece, we will get an approximation that is too low: for example, with twelve such subintervals we will get an approximate value for the area of 0.6203.The key idea is the transition from adding finitely many differences of approximation points multiplied by their respective function values to using infinitely many fine, or infinitesimal steps. When this transition is completed in the above example, it turns out that the area under the curve within the stated bounds is 2/3.The notation
int f(x) dx
conceives the integral as a weighted sum, denoted by the elongated {{mvars}}, of function values, {{mathf(x)}}, multiplied by infinitesimal step widths, the socalled differentials, denoted by {{mvardx}}.Historically, after the failure of early efforts to rigorously interpret infinitesimals, Riemann formally defined integrals as a limit of weighted sums, so that the {{mvardx}} suggested the limit of a difference (namely, the interval width). Shortcomings of Riemann's dependence on intervals and continuity motivated newer definitions, especially the Lebesgue integral, which is founded on an ability to extend the idea of "measure" in much more flexible ways. Thus the notation
int_A f(x) dmu
refers to a weighted sum in which the function values are partitioned, with {{mvarÎ¼}} measuring the weight to be assigned to each value. Here {{mvarA}} denotes the region of integration.{{multiple image align = center direction = horizontal width = 300 header = Darboux sums header_align = center header_background = footer = footer_align = footer_background = background color =image1=Riemann Integration and Darboux Upper Sums.gifwidth1=300< varepsilon.When the chosen tags give the maximum (respectively, minimum) value of each interval, the Riemann sum becomes an upper (respectively, lower) Darboux sum, suggesting the close connection between the Riemann integral and the Darboux integral.Lebesgue integral
thumb250pxRiemannâ€“Darboux's integration (top) and Lebesgue integration (bottom)alt=Comparison of Riemann and Lebesgue integralsIt is often of interest, both in theory and applications, to be able to pass to the limit under the integral. For instance, a sequence of functions can frequently be constructed that approximate, in a suitable sense, the solution to a problem. Then the integral of the solution function should be the limit of the integrals of the approximations. However, many functions that can be obtained as limits are not Riemannintegrable, and so such limit theorems do not hold with the Riemann integral. Therefore, it is of great importance to have a definition of the integral that allows a wider class of functions to be integrated {{HarvRudin1987}}.Such an integral is the Lebesgue integral, that exploits the following fact to enlarge the class of integrable functions: if the values of a function are rearranged over the domain, the integral of a function should remain the same. Thus Henri Lebesgue introduced the integral bearing his name, explaining this integral thus in a letter to Paul Montel:}}As {{HarvtxtFolland1984loc=p. 56}} puts it, "To compute the Riemann integral of {{mvarf}}, one partitions the domain {{math[a, b]}} into subintervals", while in the Lebesgue integral, "one is in effect partitioning the range of {{mvarf}} ". The definition of the Lebesgue integral thus begins with a measure, Î¼. In the simplest case, the Lebesgue measure {{mathÎ¼(A)}} of an interval {{mathA {{=}} [a, b]}} is its width, {{mathb âˆ’ a}}, so that the Lebesgue integral agrees with the (proper) Riemann integral when both exist. In more complicated cases, the sets being measured can be highly fragmented, with no continuity and no resemblance to intervals.Using the "partitioning the range of {{mvarf}} " philosophy, the integral of a nonnegative function {{mathf : R â†’ R}} should be the sum over {{mvart}} of the areas between a thin horizontal strip between {{math1=y = t}} and {{math1=y = t + dt}}. This area is just {{mathÎ¼{ x : f(x) > t}â€‰dt}}. Let {{math1=fâˆ—(t) = Î¼{ x : f(x) > t}}}. The Lebesgue integral of {{mvarf}} is then defined by {{harvLiebLoss2001}}
int f = int_0^infty f^*(t),dt
where the integral on the right is an ordinary improper Riemann integral ({{mathfâˆ—}} is a strictly decreasing positive function, and therefore has a welldefined improper Riemann integral). For a suitable class of functions (the measurable functions) this defines the Lebesgue integral.A general measurable function {{mvarf}} is Lebesgueintegrable if the sum of the absolute values of the areas of the regions between the graph of {{mvarf}} and the {{mvarx}}axis is finite:
int_E f,dmu < + infty.
In that case, the integral is, as in the Riemannian case, the difference between the area above the {{mvarx}}axis and the area below the {{mvarx}}axis:
int_E f ,dmu = int_E f^+ ,dmu  int_E f^ ,dmu
where
begin{alignat}{3}
& f^+(x) &&{}={} max {f(x),0} &&{}={} begin{cases}
f(x), & text{if } f(x) > 0,
0, & text{otherwise,}
end{cases}
& f^(x) &&{}={} max {f(x),0} &&{}={} begin{cases}
f(x), & text{if } f(x) < 0,
0, & text{otherwise.}
end{cases}
end{alignat}f(x), & text{if } f(x) > 0,
0, & text{otherwise,}
end{cases}
& f^(x) &&{}={} max {f(x),0} &&{}={} begin{cases}
f(x), & text{if } f(x) < 0,
0, & text{otherwise.}
end{cases}
Other integrals
Although the Riemann and Lebesgue integrals are the most widely used definitions of the integral, a number of others exist, including: The Darboux integral, which is constructed using Darboux sums and is equivalent to a Riemann integral, meaning that a function is Darbouxintegrable if and only if it is Riemannintegrable. Darboux integrals have the advantage of being simpler to define than Riemann integrals.
 The Riemannâ€“Stieltjes integral, an extension of the Riemann integral.
 The Lebesgueâ€“Stieltjes integral, further developed by Johann Radon, which generalizes the Riemannâ€“Stieltjes and Lebesgue integrals.
 The Daniell integral, which subsumes the Lebesgue integral and Lebesgueâ€“Stieltjes integral without the dependence on measures.
 The Haar integral, used for integration on locally compact topological groups, introduced by AlfrÃ©d Haar in 1933.
 The Henstockâ€“Kurzweil integral, variously defined by Arnaud Denjoy, Oskar Perron, and (most elegantly, as the gauge integral) Jaroslav Kurzweil, and developed by Ralph Henstock.
 The ItÃ´ integral and Stratonovich integral, which define integration with respect to semimartingales such as Brownian motion.
 The Young integral, which is a kind of Riemannâ€“Stieltjes integral with respect to certain functions of unbounded variation.
 The rough path integral, which is defined for functions equipped with some additional "rough path" structure and generalizes stochastic integration against both semimartingales and processes such as the fractional Brownian motion.
Properties
Linearity
The collection of Riemannintegrable functions on a closed interval {{math[a, b]}} forms a vector space under the operations of pointwise addition and multiplication by a scalar, and the operation of integration
f mapsto int_a^b f(x) ; dx
is a linear functional on this vector space. Thus, firstly, the collection of integrable functions is closed under taking linear combinations; and, secondly, the integral of a linear combination is the linear combination of the integrals,
int_a^b (alpha f + beta g)(x) , dx = alpha int_a^b f(x) ,dx + beta int_a^b g(x) , dx. ,
Similarly, the set of realvalued Lebesgueintegrable functions on a given measure space {{mvarE}} with measure {{mvarÎ¼}} is closed under taking linear combinations and hence form a vector space, and the Lebesgue integral
fmapsto int_E f , dmu
is a linear functional on this vector space, so that
int_E (alpha f + beta g) , dmu = alpha int_E f , dmu + beta int_E g , dmu.
More generally, consider the vector space of all measurable functions on a measure space {{math(E,Î¼)}}, taking values in a locally compactcompletetopological vector space {{mvarV}} over a locally compact topological field {{mathK, f : E â†’ V}}. Then one may define an abstract integration map assigning to each function {{mvarf}} an element of {{mvarV}} or the symbol {{mathâˆž}},
fmapstoint_E f ,dmu, ,
that is compatible with linear combinations. In this situation, the linearity holds for the subspace of functions whose integral is an element of {{mvarV}} (i.e. "finite"). The most important special cases arise when {{mvarK}} is {{mathR}}, {{mathC}}, or a finite extension of the field {{mathQp}} of padic numbers, and {{mvarV}} is a finitedimensional vector space over {{mvarK}}, and when {{mathK {{=}} C}} and {{mvarV}} is a complex Hilbert space.Linearity, together with some natural continuity properties and normalisation for a certain class of "simple" functions, may be used to give an alternative definition of the integral. This is the approach of Daniell for the case of realvalued functions on a set {{mvarX}}, generalized by Nicolas Bourbaki to functions with values in a locally compact topological vector space. See {{HarvHildebrandt1953}} for an axiomatic characterisation of the integral.Inequalities
A number of general inequalities hold for Riemannintegrable functions defined on a closed and boundedinterval {{math[a, b]}} and can be generalized to other notions of integral (Lebesgue and Daniell). Upper and lower bounds. An integrable function {{mvarf}} on {{math[a, b]}}, is necessarily bounded on that interval. Thus there are real numbers {{mvarm}} and {{mvarM}} so that {{mathm â‰¤ fâ€‰(x) â‰¤ M}} for all {{mvarx}} in {{math[a, b]}}. Since the lower and upper sums of {{mvarf}} over {{math[a, b]}} are therefore bounded by, respectively, {{mathm(b âˆ’ a)}} and {{mathM(b âˆ’ a)}}, it follows that
m(b  a) leq int_a^b f(x) , dx leq M(b  a).
 Inequalities between functions. If {{mathf(x) â‰¤ g(x)}} for each {{mvarx}} in {{math[a, b]}} then each of the upper and lower sums of {{mvarf}} is bounded above by the upper and lower sums, respectively, of {{mvarg}}. Thus
int_a^b f(x) , dx leq int_a^b g(x) , dx.
This is a generalization of the above inequalities, as {{mathM(b âˆ’ a)}} is the integral of the constant function with value {{mvarM}} over {{math[a, b]}}.
In addition, if the inequality between functions is strict, then the inequality between integrals is also strict. That is, if {{mathf(x) < g(x)}} for each {{mvarx}} in {{math[a, b]}}, then
int_a^b f(x) , dx < int_a^b g(x) , dx.
 Subintervals. If {{math[c, d]}} is a subinterval of {{math[a, b]}} and {{mathf(x)}} is nonnegative for all {{mvarx}}, then
int_c^d f(x) , dx leq int_a^b f(x) , dx.
 Products and absolute values of functions. If {{mvarf}} and {{mvarg}} are two functions, then we may consider their pointwise products and powers, and absolute values:
(fg)(x)= f(x) g(x), ; f^2 (x) = (f(x))^2, ; f (x) = f(x).,
If {{mvarf}} is Riemannintegrable on {{math[a, b]}} then the same is true for {{math{{absf}}}}, and
left int_a^b f(x) , dx right leq int_a^b  f(x)  , dx.
Moreover, if {{mvarf}} and {{mvarg}} are both Riemannintegrable then {{mathfg}} is also Riemannintegrable, and
left( int_a^b (fg)(x) , dx right)^2 leq left( int_a^b f(x)^2 , dx right) left( int_a^b g(x)^2 , dx right).
This inequality, known as the Cauchyâ€“Schwarz inequality, plays a prominent role in Hilbert space theory, where the left hand side is interpreted as the inner product of two squareintegrable functions {{mvarf}} and {{mvarg}} on the interval {{math[a, b]}}.
 HÃ¶lder's inequality. Suppose that {{mvarp}} and {{mvarq}} are two real numbers, {{math1 â‰¤ p, q â‰¤ âˆž}} with {{math{{sfrac1p}} + {{sfrac1q}} {{=}} 1}}, and {{mvarf}} and {{mvarg}} are two Riemannintegrable functions. Then the functions {{math{{absf}}p}} and {{math{{absg}}q}} are also integrable and the following HÃ¶lder's inequality holds:
leftint f(x)g(x),dxright leq
For {{mvarp}} = {{mvarq}} = 2, HÃ¶lder's inequality becomes the Cauchyâ€“Schwarz inequality.
 Minkowski inequality. Suppose that {{mathp â‰¥ 1}} is a real number and {{mvarf}} and {{mvarg}} are Riemannintegrable functions. Then {{math{{abs f }}p, {{abs g }}p}} and {{math{{abs f + g }}p}} are also Riemannintegrable and the following Minkowski inequality holds:
left(int leftf(x)+g(x)right^p,dx right)^{1/p} leq
An analogue of this inequality for Lebesgue integral is used in construction of Lp spaces.
Conventions
In this section, {{mvarf}} is a realvalued Riemannintegrable function. The integral
int_a^b f(x) , dx
over an interval {{math[a, b]}} is defined if {{matha < b}}. This means that the upper and lower sums of the function {{mvarf}} are evaluated on a partition {{matha {{=}} x0 â‰¤ x1 â‰¤ . . . â‰¤ x'n {{=}} b}} whose values {{mathx'i}} are increasing. Geometrically, this signifies that integration takes place "left to right", evaluating {{mvarf}} within intervals {{math[xâ€‰iâ€‰, xâ€‰iâ€‰+1]}} where an interval with a higher index lies to the right of one with a lower index. The values {{mvara}} and {{mvarb}}, the endpoints of the interval, are called the limits of integration of {{mvarf}}. Integrals can also be defined if {{matha > b}}:  Reversing limits of integration. If {{matha > b}} then define
int_a^b f(x) , dx =  int_b^a f(x) , dx.
 Integrals over intervals of length zero. If {{mvara}} is a real number then
int_a^a f(x) , dx = 0.
 Additivity of integration on intervals. If {{mvarc}} is any element of {{math[a, b]}}, then
int_a^b f(x) , dx = int_a^c f(x) , dx + int_c^b f(x) , dx.
begin{align}
int_a^c f(x) , dx &{}= int_a^b f(x) , dx  int_c^b f(x) , dx
&{} = int_a^b f(x) , dx + int_b^c f(x) , dx
end{align}is then welldefined for any cyclic permutation of {{mvara}}, {{mvarb}}, and {{mvarc}}.&{} = int_a^b f(x) , dx + int_b^c f(x) , dx
Fundamental theorem of calculus
The fundamental theorem of calculus is the statement that differentiation and integration are inverse operations: if a continuous function is first integrated and then differentiated, the original function is retrieved. An important consequence, sometimes called the second fundamental theorem of calculus, allows one to compute integrals by using an antiderivative of the function to be integrated.Statements of theorems
Fundamental theorem of calculus
Let {{mvarf}} be a continuous realvalued function defined on a closed interval {{math[a, b]}}. Let {{mvarF}} be the function defined, for all {{mvarx}} in {{math[a, b]}}, by
F(x) = int_a^x f(t), dt.
Then, {{mvarF}} is continuous on {{math[a, b]}}, differentiable on the open interval {{math(a, b)}}, and
F'(x) = f(x)
for all {{mvarx}} in {{math(a, b)}}.Second fundamental theorem of calculus
Let {{mvarf}} be a realvalued function defined on a closed interval [{{matha, b}}] that admits an antiderivative {{mvarF}} on {{math[a, b]}}. That is, {{mvarf}} and {{mvarF}} are functions such that for all {{mvarx}} in {{math[a, b]}},
f(x) = F'(x).
If {{mvarf}} is integrable on {{math[a, b]}} then
int_a^b f(x),dx = F(b)  F(a).
Calculating integrals
The second fundamental theorem allows many integrals to be calculated explicitly. For example, to calculate the integral
int_0^1x^{1/2},dx,
of the square root function {{mathf(x) {{=}} x1/2}} between 0 and 1, it is sufficient to find an antiderivative, that is, a function {{mathF(x)}} whose derivative equals {{mathf(x)}}:
F'(x)=f(x).
One such function is {{mathF(x) {{=}} {{sfrac23}}x3/2}}. Then the value of the integral in question is
int_0^1x^{1/2},dx = F(1)  F(0) = frac{2}{3} (1)^{3/2}  frac{2}{3} (0)^{3/2}=frac{2}{3}.
This is a case of a general rule, that for {{mathf(x) {{=}} x'q}}, with {{mathq â‰ âˆ’1}}, the related function, the socalled antiderivative is {{mathF(x) {{=}} x'q + 1/(q + 1).}} Tables of this and similar antiderivatives can be used to calculate integrals explicitly, in much the same way that tables of derivatives can be used.Extensions
Improper integrals
File:Improper integral.svgrightthumbThe improper integralimproper integralA "proper" Riemann integral assumes the integrand is defined and finite on a closed and bounded interval, bracketed by the limits of integration. An improper integral occurs when one or more of these conditions is not satisfied. In some cases such integrals may be defined by considering the limit of a sequence of proper Riemann integrals on progressively larger intervals.If the interval is unbounded, for instance at its upper end, then the improper integral is the limit as that endpoint goes to infinity.
int_{a}^{infty} f(x),dx = lim_{b to infty} int_{a}^{b} f(x),dx
If the integrand is only defined or finite on a halfopen interval, for instance {{math(a, b]}}, then again a limit may provide a finite result.
int_{a}^{b} f(x),dx = lim_{epsilon to 0} int_{a+epsilon}^{b} f(x),dx
That is, the improper integral is the limit of proper integrals as one endpoint of the interval of integration approaches either a specified real number, or {{mathâˆž}}, or {{mathâˆ’âˆž}}. In more complicated cases, limits are required at both endpoints, or at interior points.Multiple integration
(File:Volume under surface.pngrightthumbDouble integral as volume under a surface)Just as the definite integral of a positive function of one variable represents the area of the region between the graph of the function and the xaxis, the double integral of a positive function of two variables represents the volume of the region between the surface defined by the function and the plane that contains its domain. For example, a function in two dimensions depends on two real variables, x and y, and the integral of a function f over the rectangle R given as the Cartesian product of two intervals R=[a,b]times [c,d] can be written
int_R f(x,y),dA
where the differential {{mathdA}} indicates that integration is taken with respect to area. This double integral can be defined using Riemann sums, and represents the (signed) volume under the graph of {{mathz {{=}} f(x,y)}} over the domain R. Under suitable conditions (e.g., if f is continuous), then Fubini's theorem guarantees that this integral can be expressed as an equivalent iterated integral
int_a^bleft[int_c^d f(x,y),dyright],dx.
This reduces the problem of computing a double integral to computing onedimensional integrals. Because of this, another notation for the integral over R uses a double integral sign:
iint_R f(x,y) dA.
Integration over more general domains is possible. The integral of a function f, with respect to volume, over a subset D of â„n is denoted by notation such as
int_D f(mathbf x)d^nmathbf x,quad int_D f,dV
or similar. See volume integral.Line integrals
(File:LineIntegral.gifrightthumbA line integral sums together elements along a curve.)The concept of an integral can be extended to more general domains of integration, such as curved lines and surfaces. Such integrals are known as line integrals and surface integrals respectively. These have important applications in physics, as when dealing with vector fields.A line integral (sometimes called a path integral) is an integral where the function to be integrated is evaluated along a curve. Various different line integrals are in use. In the case of a closed curve it is also called a contour integral.The function to be integrated may be a scalar field or a vector field. The value of the line integral is the sum of values of the field at all points on the curve, weighted by some scalar function on the curve (commonly arc length or, for a vector field, the scalar product of the vector field with a differential vector in the curve). This weighting distinguishes the line integral from simpler integrals defined on intervals. Many simple formulas in physics have natural continuous analogs in terms of line integrals; for example, the fact that work is equal to force, {{mathF}}, multiplied by displacement, {{maths}}, may be expressed (in terms of vector quantities) as:
W=mathbf Fcdotmathbf s.
For an object moving along a path {{mvarC}} in a vector field {{mathF}} such as an electric field or gravitational field, the total work done by the field on the object is obtained by summing up the differential work done in moving from {{maths}} to {{maths + ds}}. This gives the line integral
W=int_C mathbf Fcdot dmathbf s.
Surface integrals
(File:Surface integral illustration.svgrightthumbThe definition of surface integral relies on splitting the surface into small surface elements.)A surface integral is a definite integral taken over a surface (which may be a curved set in space); it can be thought of as the double integral analog of the line integral. The function to be integrated may be a scalar field or a vector field. The value of the surface integral is the sum of the field at all points on the surface. This can be achieved by splitting the surface into surface elements, which provide the partitioning for Riemann sums.For an example of applications of surface integrals, consider a vector field {{mathv}} on a surface {{mathS}}; that is, for each point {{mathx}} in {{mathS}}, {{mathv(x)}} is a vector. Imagine that we have a fluid flowing through {{mathS}}, such that {{mathv(x)}} determines the velocity of the fluid at {{mvarx}}. The flux is defined as the quantity of fluid flowing through {{mathS}} in unit amount of time. To find the flux, we need to take the dot product of {{mathv}} with the unit surface normal to {{mathS}} at each point, which will give us a scalar field, which we integrate over the surface:
int_S {mathbf v}cdot ,d{mathbf {S}}.
The fluid flux in this example may be from a physical fluid such as water or air, or from electrical or magnetic flux. Thus surface integrals have applications in physics, particularly with the classical theory of electromagnetism.Contour integrals
In complex analysis, the integrand is a complexvalued function of a complex variable {{mvarz}} instead of a real function of a real variable {{mvarx}}. When a complex function is integrated along a curve gamma in the complex plane, the integral is denoted as follows
int_{gamma} f(z),dz.
This is known as a contour integral.Integrals of differential forms
A differential form is a mathematical concept in the fields of multivariable calculus, differential topology, and tensors. Differential forms are organized by degree. For example, a oneform is a weighted sum of the differentials of the coordinates, such as:
E(x,y,z),dx + F(x,y,z),dy + G(x,y,z), dz
where E, F, G are functions in three dimensions. A differential oneform can be integrated over an oriented path, and the resulting integral is just another way of writing a line integral. Here the basic differentials dx, dy, dz measure infinitesimal oriented lengths parallel to the three coordinate axes.A differential twoform is a sum of the form
G(x,y,z)dxwedge dy + E(x,y,z)dywedge dz + F(x,y,z)dzwedge dx.
Here the basic twoforms dxwedge dy, dzwedge dx, dywedge dz measure oriented areas parallel to the coordinate twoplanes. The symbol wedge denotes the wedge product, which is similar to the cross product in the sense that the wedge product of two forms representing oriented lengths represents an oriented area. A twoform can be integrated over an oriented surface, and the resulting integral is equivalent to the surface integral giving the flux of Emathbf i+Fmathbf j+Gmathbf k.Unlike the cross product, and the threedimensional vector calculus, the wedge product and the calculus of differential forms makes sense in arbitrary dimension and on more general manifolds (curves, surfaces, and their higherdimensional analogs). The exterior derivative plays the role of the gradient and curl of vector calculus, and Stokes' theorem simultaneously generalizes the three theorems of vector calculus: the divergence theorem, Green's theorem, and the KelvinStokes theorem.Summations
The discrete equivalent of integration is summation. Summations and integrals can be put on the same foundations using the theory of Lebesgue integrals or time scale calculus.Computation
Analytical
The most basic technique for computing definite integrals of one real variable is based on the fundamental theorem of calculus. Let {{mathf(x)}} be the function of {{mvarx}} to be integrated over a given interval {{math[a, b]}}. Then, find an antiderivative of {{mvarf}}; that is, a function {{mvarF}} such that {{mathFâ€² {{=}} f}} on the interval. Provided the integrand and integral have no singularities on the path of integration, by the fundamental theorem of calculus,
int_a^b f(x),dx=F(b)F(a).
The integral is not actually the antiderivative, but the fundamental theorem provides a way to use antiderivatives to evaluate definite integrals.The most difficult step is usually to find the antiderivative of {{mvarf}}. It is rarely possible to glance at a function and write down its antiderivative. More often, it is necessary to use one of the many techniques that have been developed to evaluate integrals. Most of these techniques rewrite one integral as a different one which is hopefully more tractable. Techniques include:  Integration by substitution
 Integration by parts
 Inverse function integration
 Changing the order of integration
 Integration by trigonometric substitution
 Tangent halfangle substitution
 Integration by partial fractions
 Integration by reduction formulae
 Integration using parametric derivatives
 Integration using Euler's formula
 Euler substitution
 Differentiation under the integral sign
 Contour integration
Symbolic
Many problems in mathematics, physics, and engineering involve integration where an explicit formula for the integral is desired. Extensive tables of integrals have been compiled and published over the years for this purpose. With the spread of computers, many professionals, educators, and students have turned to computer algebra systems that are specifically designed to perform difficult or tedious tasks, including integration. Symbolic integration has been one of the motivations for the development of the first such systems, like Macsyma.A major mathematical difficulty in symbolic integration is that in many cases, a closed formula for the antiderivative of a rather simplelooking function does not exist. For instance, it is known that the antiderivatives of the functions {{mathexp(x2), xx}} and {{math(sin x)/x}} cannot be expressed in the closed form involving only rational and exponential functions, logarithm, trigonometric functions and inverse trigonometric functions, and the operations of multiplication and composition; in other words, none of the three given functions is integrable in elementary functions, which are the functions which may be built from rational functions, roots of a polynomial, logarithm, and exponential functions. The Risch algorithm provides a general criterion to determine whether the antiderivative of an elementary function is elementary, and, if it is, to compute it. Unfortunately, it turns out that functions with closed expressions of antiderivatives are the exception rather than the rule. Consequently, computerized algebra systems have no hope of being able to find an antiderivative for a randomly constructed elementary function. On the positive side, if the 'building blocks' for antiderivatives are fixed in advance, it may be still be possible to decide whether the antiderivative of a given function can be expressed using these blocks and operations of multiplication and composition, and to find the symbolic answer whenever it exists. The Risch algorithm, implemented in Mathematica and other computer algebra systems, does just that for functions and antiderivatives built from rational functions, radicals, logarithm, and exponential functions.Some special integrands occur often enough to warrant special study. In particular, it may be useful to have, in the set of antiderivatives, the special functions (like the Legendre functions, the hypergeometric function, the gamma function, the incomplete gamma function and so on â€” see Symbolic integration for more details). Extending the Risch's algorithm to include such functions is possible but challenging and has been an active research subject.More recently a new approach has emerged, using Dfinite functions, which are the solutions of linear differential equations with polynomial coefficients. Most of the elementary and special functions are Dfinite, and the integral of a Dfinite function is also a Dfinite function. This provides an algorithm to express the antiderivative of a Dfinite function as the solution of a differential equation.This theory also allows one to compute the definite integral of a Dfunction as the sum of a series given by the first coefficients, and provides an algorithm to compute any coefficient.FrÃ©dÃ©ric Chyzak's Mgfun Project: Introduction to the Package Mgfun and Related PackagesNumerical
Some integrals found in real applications can be computed by closedform antiderivatives. Others are not so accommodating. Some antiderivatives do not have closed forms, some closed forms require special functions that themselves are a challenge to compute, and others are so complex that finding the exact answer is too slow. This motivates the study and application of numerical approximations of integrals. This subject, called numerical integration or numerical quadrature, arose early in the study of integration for the purpose of making hand calculations. The development of generalpurpose computers made numerical integration more practical and drove a desire for improvements. The goals of numerical integration are accuracy, reliability, efficiency, and generality, and sophisticated modern methods can vastly outperform a naive method by all four measures ({{HarvnbDahlquistBjÃ¶rck2008}}; {{HarvnbKahanerMolerNash1989}}; {{HarvnbStoerBulirsch2002}}).Consider, for example, the integral
int_{2}^{2} tfrac{1}{5} left( tfrac{1}{100}(322 + 3 x (98 + x (37 + x)))  24 frac{x}{1+x^2} right) dx
which has the exact answer {{nowrap94/25 {{=}} 3.76}}. (In ordinary practice, the answer is not known in advance, so an important task â€” not explored here â€” is to decide when an approximation is good enough.) A â€œcalculus bookâ€ approach divides the integration range into, say, 16 equal pieces, and computes function values.
{ cellpadding="0" cellspacing="0" class="wikitable" style="textalign:center;backgroundcolor:white"+ Spaced function values
! x style="fontsize:80%"! style="fontsize:125%"  f(x)! x style="fontsize:80%"! style="fontsize:125%"  f(x) style="backgroundcolor:#aaa"y {{=}} x2}}alt1=Upper Darboux sum exampleimage2=Riemann Integration and Darboux Lower Sums.gifwidth2=300  y {{=}} x2}}alt2=Lower Darboux sum example}}Formal definitions{{multiple image align = right direction = vertical width = 200 image = Integral Riemann sum.png alt1 = Riemann integral approximation example caption1 = Integral example with irregular partitions (largest marked in red) image2 = Riemann sum convergence.png alt2 = Riemann sum convergence caption2 = Riemann sums converging}}There are many ways of formally defining an integral, not all of which are equivalent. The differences exist mostly to deal with differing special cases which may not be integrable under other definitions, but also occasionally for pedagogical reasons. The most commonly used definitions of integral are Riemann integrals and Lebesgue integrals.Riemann integralThe Riemann integral is defined in terms of Riemann sums of functions with respect to tagged partitions of an interval.{{MathWorld title=Riemann Sum id=RiemannSum}} Let {{math[a, b]}} be a closed interval of the real line; then a tagged partition of {{math[a, b]}} is a finite sequence
a = x_0 le t_1 le x_1 le t_2 le x_2 le cdots le x_{n1} le t_n le x_n = b . ,!
This partitions the interval {{math[a, b]}} into {{mvarn}} subintervals {{math[x'iâˆ’1, x'i]}} indexed by {{mvari}}, each of which is "tagged" with a distinguished point {{matht'i âˆˆ [x'iâˆ’1, xi]}}. A Riemann sum of a function {{mvarf}} with respect to such a tagged partition is defined as
sum_{i=1}^{n} f(t_i) Delta_i ;
thus each term of the sum is the area of a rectangle with height equal to the function value at the distinguished point of the given subinterval, and width the same as the subinterval width. Let {{mathÎ”i {{=}} x'iâˆ’x'iâˆ’1}} be the width of subinterval {{mvari}}; then the mesh of such a tagged partition is the width of the largest subinterval formed by the partition, {{mathmaxi{{=}}1...n Î”i}}. The Riemann integral of a function {{mvarf}} over the interval {{math[a, b]}} is equal to {{mvarS}} if:
For all {{mathÎµ > 0}} there exists {{mathÎ´ > 0}} such that, for any tagged partition {{math[a, b]}} with mesh less than {{mvarÎ´}}, we have
left S  sum_{i=1}^{n} f(t_i)Delta_i right


âˆ’2.00  colspan="2"  âˆ’1.00  colspan="2"  0.00  colspan="2"  1.00  colspan="2"  2.00  
2.22800  colspan="2"  2.67200  colspan="2"  0.64400  colspan="2"  âˆ’0.94000  colspan="2"  0.83600  
âˆ’1.75  colspan="2"  âˆ’0.75  colspan="2"  0.25  colspan="2"  1.25  colspan="2"    
2.33041  colspan="2"  2.62934  colspan="2"  âˆ’0.32444  colspan="2"  âˆ’0.60387  colspan="2"    
 
Mechanical
The area of an arbitrary twodimensional shape can be determined using a measuring instrument called planimeter. The volume of irregular objects can be measured with precision by the fluid displaced as the object is submerged.Geometrical
Area can sometimes be found via geometrical compassandstraightedge constructions of an equivalent square.See also
References
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External links
 {{springertitle=Integralid=p/i051340}}
 Online Integral Calculator, Wolfram Alpha.
 Online Integral Calculator, by MathsTools.
Online books
 Keisler, H. Jerome, Elementary Calculus: An Approach Using Infinitesimals, University of Wisconsin
 Stroyan, K. D., weblink" title="web.archive.org/web/20050911104158weblink">A Brief Introduction to Infinitesimal Calculus, University of Iowa
 Mauch, Sean, weblink" title="web.archive.org/web/20060415161115weblink">Sean's Applied Math Book, CIT, an online textbook that includes a complete introduction to calculus
 Crowell, Benjamin, Calculus, Fullerton College, an online textbook
 Garrett, Paul, Notes on FirstYear Calculus
 Hussain, Faraz, Understanding Calculus, an online textbook
 Johnson, William Woolsey (1909) Elementary Treatise on Integral Calculus, link from HathiTrust.
 Kowalk, W. P., Integration Theory, University of Oldenburg. A new concept to an old problem. Online textbook
 Sloughter, Dan, Difference Equations to Differential Equations, an introduction to calculus
 Numerical Methods of Integration at Holistic Numerical Methods Institute
 P. S. Wang, Evaluation of Definite Integrals by Symbolic Manipulation (1972) â€” a cookbook of definite integral techniques
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