Antiderivative: Difference between revisions

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[[File:Slope Field.png|thumb|The [[slope field]] of <math>F(x) = \frac{x^3}{3} - \frac{x^2}{2} - x + C</math>, showing three of the infinitely many solutions that can be produced by varying the [[Constant of integration|arbitrary constant]] {{mvar|C}}.]]
[[File:Slope Field.png|thumb|The [[slope field]] of <math>F(x) = \frac{x^3}{3} - \frac{x^2}{2} - x + C</math>, showing three of the infinitely many solutions that can be produced by varying the [[Constant of integration|arbitrary constant]] {{mvar|C}}.]]


In [[calculus]], an '''antiderivative''', '''inverse derivative''', '''primitive function''', '''primitive integral''' or '''indefinite integral'''{{#tag:ref|Antiderivatives are also called '''general integrals''', and sometimes '''integrals'''. The latter term is generic, and refers not only to indefinite integrals (antiderivatives), but also to [[definite integral]]s. When the word ''integral'' is used without additional specification, the reader is supposed to deduce from the context whether it refers to a definite or indefinite integral. Some authors define the indefinite integral of a function as the set of its infinitely many possible antiderivatives. Others define it as an arbitrarily selected element of that set. This article adopts the latter approach. In English A-Level Mathematics textbooks one can find the term '''complete primitive''' - L. Bostock and S. Chandler (1978) ''Pure Mathematics 1''; ''The solution of a differential equation including the arbitrary constant is called the general solution (or sometimes the complete primitive)''. |group=Note}} of a [[continuous function]] {{math|''f''}} is a [[differentiable function]] {{math|''F''}} whose [[derivative]] is equal to the original function {{math|''f''}}. This can be stated symbolically as {{math|1=''F' '' = ''f''}}.<ref>{{cite book | last=Stewart | first=James | author-link=James Stewart (mathematician) | title=Calculus: Early Transcendentals | publisher=[[Brooks/Cole]] | edition=6th | year=2008 | isbn=978-0-495-01166-8 | url-access=registration | url=https://archive.org/details/calculusearlytra00stew_1 }}</ref><ref>{{cite book | last1=Larson | first1=Ron | author-link=Ron Larson (mathematician)| last2=Edwards | first2=Bruce H. | title=Calculus | publisher=[[Brooks/Cole]] | edition=9th | year=2009 | isbn=978-0-547-16702-2}}</ref> The process of solving for antiderivatives is called '''antidifferentiation''' (or '''indefinite integration'''), and its opposite operation is called ''differentiation'', which is the process of finding a derivative. Antiderivatives are often denoted by capital [[Roman letters]] such as {{mvar|F}} and {{mvar|G}}.
In [[calculus]], an '''antiderivative''', '''inverse derivative''', '''primitive function''', '''primitive integral''' or '''indefinite integral'''{{#tag:ref|Antiderivatives are also called '''general integrals''', and sometimes '''integrals'''. The latter term is generic, and refers not only to indefinite integrals (antiderivatives), but also to [[definite integral]]s. When the word ''integral'' is used without additional specification, the reader is supposed to deduce from the context whether it refers to a definite or indefinite integral. Some authors define the indefinite integral of a function as the set of its infinitely many possible antiderivatives. Others define it as an arbitrarily selected element of that set. This article adopts the latter approach. In English A-Level Mathematics textbooks one can find the term '''complete primitive''' - L. Bostock and S. Chandler (1978) ''Pure Mathematics 1''; ''The solution of a differential equation including the arbitrary constant is called the general solution (or sometimes the complete primitive)''. |group=Note}} of a [[function (mathematics)|function]] {{math|''f''}} is a [[differentiable function]] {{math|''F''}} whose [[derivative]] is equal to the original function {{math|''f''}}. This can be stated symbolically as {{math|1=''F' '' = ''f''}}.<ref>{{cite book | last=Stewart | first=James | author-link=James Stewart (mathematician) | title=Calculus: Early Transcendentals | publisher=[[Brooks/Cole]] | edition=6th | year=2008 | isbn=978-0-495-01166-8 | url-access=registration | url=https://archive.org/details/calculusearlytra00stew_1 }}</ref><ref>{{cite book | last1=Larson | first1=Ron | author-link=Ron Larson (mathematician)| last2=Edwards | first2=Bruce H. | title=Calculus | publisher=[[Brooks/Cole]] | edition=9th | year=2009 | isbn=978-0-547-16702-2}}</ref> The process of solving for antiderivatives is called '''antidifferentiation''' (or '''indefinite integration'''), and its opposite operation is called ''differentiation'', which is the process of finding a derivative. Antiderivatives are often denoted by capital [[Roman letters]] such as {{mvar|F}} and {{mvar|G}}.


Antiderivatives are related to [[integral|definite integral]]s through the [[fundamental theorem of calculus|second fundamental theorem of calculus]]: the definite integral of a function over a [[interval (mathematics)|closed interval]] where the function is Riemann integrable is equal to the difference between the values of an antiderivative evaluated at the endpoints of the interval.
Antiderivatives are related to [[integral|definite integral]]s through the [[fundamental theorem of calculus|second fundamental theorem of calculus]]: the definite integral of a function over a [[interval (mathematics)|closed interval]] where the function is Riemann integrable is equal to the difference between the values of an antiderivative evaluated at the endpoints of the interval.
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In [[physics]], the integration of [[acceleration]] yields [[velocity]] plus a constant. The constant is the initial velocity term that would be lost upon taking the derivative of velocity, because the derivative of a constant term is zero. This same pattern applies to further integrations and derivatives of motion (position, velocity, acceleration, and so on).<ref name=":1" /> Thus, integration produces the relations of acceleration, velocity and [[Displacement (geometry)|displacement]]:
In [[physics]], the integration of [[acceleration]] yields [[velocity]] plus a constant. The constant is the initial velocity term that would be lost upon taking the derivative of velocity, because the derivative of a constant term is zero. This same pattern applies to further integrations and derivatives of motion (position, velocity, acceleration, and so on).<ref name=":1" /> Thus, integration produces the relations of acceleration, velocity and [[Displacement (geometry)|displacement]]:
<math display="block">\begin{align}
<math display="block">\begin{align}
\int a \, \mathrm{d}t &= v + C \\
\int a \, dt &= v + v_0 \\
\int v \, \mathrm{d}t &= s + C
\int v \, dt &= s + s_0
\end{align}</math>
\end{align}</math>


==Uses and properties==
==Uses and properties==
Antiderivatives can be used to [[integral#Calculating integrals|compute definite integrals]], using the [[fundamental theorem of calculus]]: if {{math|''F''}} is an antiderivative of the [[continuous function]] {{math|''f''}} over the interval <math>[a,b]</math>, then:
Antiderivatives can be used to [[integral#Calculating integrals|compute definite integrals]], using the [[fundamental theorem of calculus]]: if {{math|''F''}} is an antiderivative of the [[continuous function]] {{math|''f''}} over the interval <math>[a,b]</math>, then:
<math display="block">\int_a^b f(x)\,\mathrm{d}x = F(b) - F(a).</math>
<math display="block">\int_a^b f(x)\,dx = F(b) - F(a).</math>


Because of this, each of the infinitely many antiderivatives of a given function {{math|''f''}} may be called the "indefinite integral" of ''f'' and written using the integral symbol with no bounds:
Because of this, each of the infinitely many antiderivatives of a given function {{math|''f''}} may be called the "indefinite integral" of ''f'' and written using the integral symbol with no bounds:
<math display="block">\int f(x)\,\mathrm{d}x.</math>
<math display="block">\int f(x)\,dx.</math>


If {{math|''F''}} is an antiderivative of {{math|''f''}}, and the function {{math|''f''}} is defined on some interval, then every other antiderivative {{math|''G''}} of {{math|''f''}} differs from {{math|''F''}} by a constant: there exists a number {{math|''c''}} such that <math>G(x) = F(x)+c</math> for all {{math|''x''}}. {{math|''c''}} is called the [[constant of integration]]. If the domain of {{math|''F''}} is a [[disjoint union]] of two or more (open) intervals, then a different constant of integration may be chosen for each of the intervals. For instance
If {{math|''F''}} is an antiderivative of {{math|''f''}}, and the function {{math|''f''}} is defined on some interval, then every other antiderivative {{math|''G''}} of {{math|''f''}} differs from {{math|''F''}} by a constant: there exists a number {{math|''c''}} such that <math>G(x) = F(x)+c</math> for all {{math|''x''}}. {{math|''c''}} is called the [[constant of integration]]. If the domain of {{math|''F''}} is a [[disjoint union]] of two or more (open) intervals, then a different constant of integration may be chosen for each of the intervals. For instance
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Every [[continuous function]] {{math|''f''}} has an antiderivative, and one antiderivative {{math|''F''}} is given by the definite integral of {{math|''f''}} with variable upper boundary:
Every [[continuous function]] {{math|''f''}} has an antiderivative, and one antiderivative {{math|''F''}} is given by the definite integral of {{math|''f''}} with variable upper boundary:
<math display="block">F(x) = \int_a^x f(t)\,\mathrm{d}t ~,</math>
<math display="block">F(x) = \int_a^x f(t)\,dt ~,</math>
for any {{math|''a''}} in the domain of {{math|''f''}}. Varying the lower boundary produces other antiderivatives, but not necessarily all possible antiderivatives. This is another formulation of the [[fundamental theorem of calculus]].
for any {{math|''a''}} in the domain of {{math|''f''}}. Varying the lower boundary produces other antiderivatives, but not necessarily all possible antiderivatives. This is another formulation of the [[fundamental theorem of calculus]].


There are many [[elementary function]]s whose antiderivatives, even though they exist, cannot be expressed in terms of elementary functions. Elementary functions are [[polynomial]]s, [[exponential function]]s, [[logarithm]]s, [[trigonometric functions]], [[inverse trigonometric functions]] and their combinations under composition and [[linear combination]]. Examples of these [[nonelementary integral]]s are
There are many [[elementary function]]s whose antiderivatives, even though they exist, cannot be expressed in terms of elementary functions. Elementary functions are [[polynomial]]s, [[exponential function]]s, [[logarithm]]s, [[trigonometric functions]], [[inverse trigonometric functions]] and their combinations under composition and [[linear combination]]. Examples of these [[nonelementary integral]]s are
{{div col}}
{{div col}}
* the [[error function]] <math display="block">\int e^{-x^2}\,\mathrm{d}x,</math>
* the [[error function]] <math display="block">\int e^{-x^2}\,dx,</math>
* the [[Fresnel function]] <math display="block">\int \sin x^2\,\mathrm{d}x,</math>
* the [[Fresnel function]] <math display="block">\int \sin x^2\,dx,</math>
* the [[sine integral]] <math display="block">\int \frac{\sin x}{x}\,\mathrm{d}x,</math>
* the [[sine integral]] <math display="block">\int \frac{\sin x}{x}\,dx,</math>
* the [[logarithmic integral function]] <math display="block">\int\frac{1}{\log x}\,\mathrm{d}x,</math> and
* the [[logarithmic integral function]] <math display="block">\int\frac{1}{\log x}\,dx,</math> and
* [[sophomore's dream]] <math display="block">\int x^{x}\,\mathrm{d}x.</math>
* [[sophomore's dream]] <math display="block">\int x^{x}\,dx.</math>
{{div col end}}
{{div col end}}
For a more detailed discussion, see also [[Differential Galois theory]].
For a more detailed discussion, see also [[Differential Galois theory]].
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* [[Numerical integration]] (a technique for approximating a definite integral when no elementary antiderivative exists, as in the case of {{math|exp(−''x''<sup>2</sup>)}})
* [[Numerical integration]] (a technique for approximating a definite integral when no elementary antiderivative exists, as in the case of {{math|exp(−''x''<sup>2</sup>)}})
* Algebraic manipulation of integrand (so that other integration techniques, such as integration by substitution, may be used)
* Algebraic manipulation of integrand (so that other integration techniques, such as integration by substitution, may be used)
*[[Cauchy formula for repeated integration]] (to calculate the {{math|''n''}}-times antiderivative of a function) <math display="block"> \int_{x_0}^x \int_{x_0}^{x_1} \cdots \int_{x_0}^{x_{n-1}} f(x_n) \,\mathrm{d}x_n \cdots \, \mathrm{d}x_2\, \mathrm{d}x_1 = \int_{x_0}^x f(t) \frac{(x-t)^{n-1}}{(n-1)!}\,\mathrm{d}t.</math>
*[[Cauchy formula for repeated integration]] (to calculate the {{math|''n''}}-times antiderivative of a function) <math display="block"> \int_{x_0}^x \int_{x_0}^{x_1} \cdots \int_{x_0}^{x_{n-1}} f(x_n) \,dx_n \cdots \, dx_2\, dx_1 = \int_{x_0}^x f(t) \frac{(x-t)^{n-1}}{(n-1)!}\,dt.</math>


[[Computer algebra system]]s can be used to automate some or all of the work involved in the symbolic techniques above, which is particularly useful when the algebraic manipulations involved are very complex or lengthy. Integrals which have already been derived can be looked up in a [[table of integrals]].
[[Computer algebra system]]s can be used to automate some or all of the work involved in the symbolic techniques above, which is particularly useful when the algebraic manipulations involved are very complex or lengthy. Integrals which have already been derived can be looked up in a [[table of integrals]].
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===Some examples===
===Some examples===
{{ordered list
{{ordered list
|1= The function
| 1 = The function
<math display="block">f(x)=2x\sin\left(\frac{1}{x}\right)-\cos\left(\frac{1}{x}\right)</math>
<math display="block">f(x)=2x\sin\left(\frac{1}{x}\right)-\cos\left(\frac{1}{x}\right)</math>
with <math>f(0)=0</math> is not continuous at <math>x=0</math> but has the antiderivative
with <math>f(0)=0</math> is not continuous at <math>x=0</math> but has the antiderivative
<math display="block">F(x)=x^2\sin\left(\frac{1}{x}\right)</math>
<math display="block">F(x)=x^2\sin\left(\frac{1}{x}\right)</math>
with <math>F(0)=0</math>. Since {{math|''f''}} is bounded on closed finite intervals and is only discontinuous at 0, the antiderivative {{math|''F''}} may be obtained by integration: <math>F(x)=\int_0^x f(t)\,\mathrm{d}t</math>.
with <math>F(0)=0</math>. Since {{math|''f''}} is bounded on closed finite intervals and is only discontinuous at 0, the antiderivative {{math|''F''}} may be obtained by integration: <math>F(x)=\int_0^x f(t)\,dt</math>.
|2= The function
| 2 = The function
<math display="block">f(x)=2x\sin\left(\frac{1}{x^2}\right)-\frac{2}{x}\cos\left(\frac{1}{x^2}\right)</math>
<math display="block">f(x)=2x\sin\left(\frac{1}{x^2}\right)-\frac{2}{x}\cos\left(\frac{1}{x^2}\right)</math>
with <math>f(0)=0</math> is not continuous at <math>x=0</math> but has the antiderivative
with <math>f(0)=0</math> is not continuous at <math>x=0</math> but has the antiderivative
<math display="block">F(x)=x^2\sin\left(\frac{1}{x^2}\right)</math>
<math display="block">F(x)=x^2\sin\left(\frac{1}{x^2}\right)</math>
with <math>F(0)=0</math>. Unlike Example 1, {{math|''f''(''x'')}} is unbounded in any interval containing 0, so the Riemann integral is undefined.
with <math>F(0)=0</math>. Unlike Example 1, {{math|''f''(''x'')}} is unbounded in any interval containing 0, so the Riemann integral is undefined.
 
| 3 = If {{math|''f''(''x'')}} is the function in Example 1 and {{math|''F''}} is its antiderivative, and <math>\{x_n\}_{n\ge1}</math> is a [[dense set|dense]] [[countable]] [[subset]] of the open interval <math>(-1,1),</math> then the function
|3= If {{math|''f''(''x'')}} is the function in Example 1 and {{math|''F''}} is its antiderivative, and <math>\{x_n\}_{n\ge1}</math> is a [[dense set|dense]] [[countable]] [[subset]] of the open interval <math>(-1,1),</math> then the function
<math display="block">g(x)=\sum_{n=1}^\infty \frac{f(x-x_n)}{2^n}</math>
<math display="block">g(x)=\sum_{n=1}^\infty \frac{f(x-x_n)}{2^n}</math>
has an antiderivative
has an antiderivative
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The set of discontinuities of {{math|''g''}} is precisely the set <math>\{x_n\}_{n \ge 1}</math>. Since {{math|''g''}} is bounded on closed finite intervals and the set of discontinuities has measure 0, the antiderivative {{math|''G''}} may be found by integration.
The set of discontinuities of {{math|''g''}} is precisely the set <math>\{x_n\}_{n \ge 1}</math>. Since {{math|''g''}} is bounded on closed finite intervals and the set of discontinuities has measure 0, the antiderivative {{math|''G''}} may be found by integration.
 
| 4 = Let <math>\{x_n\}_{n\ge1}</math> be a [[dense set|dense]] [[countable]] subset of the open interval <math>(-1,1).</math> Consider the everywhere continuous strictly increasing function
|4= Let <math>\{x_n\}_{n\ge1}</math> be a [[dense set|dense]] [[countable]] subset of the open interval <math>(-1,1).</math> Consider the everywhere continuous strictly increasing function
<math display="block">F(x)=\sum_{n=1}^\infty\frac{1}{2^n}(x-x_n)^{1/3}.</math>
<math display="block">F(x)=\sum_{n=1}^\infty\frac{1}{2^n}(x-x_n)^{1/3}.</math>


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for all {{math|''x''}} in the set <math>\{F(x_n)\}_{n\ge1}</math> which is dense in the interval <math>[F(-1),F(1)].</math> Thus {{math|''g''}} has an antiderivative {{math|''G''}}. On the other hand, it can not be true that
for all {{math|''x''}} in the set <math>\{F(x_n)\}_{n\ge1}</math> which is dense in the interval <math>[F(-1),F(1)].</math> Thus {{math|''g''}} has an antiderivative {{math|''G''}}. On the other hand, it can not be true that
<math display="block">\int_{F(-1)}^{F(1)}g(x)\,\mathrm{d}x=GF(1)-GF(-1)=2,</math>
<math display="block">\int_{F(-1)}^{F(1)}g(x)\,dx=GF(1)-GF(-1)=2,</math>
since for any partition of <math>[F(-1),F(1)]</math>, one can choose sample points for the Riemann sum from the set <math>\{F(x_n)\}_{n\ge1}</math>, giving a value of 0 for the sum. It follows that {{math|''g''}} has a set of discontinuities of positive Lebesgue measure. Figure 1 on the right shows an approximation to the graph of {{math|''g''(''x'')}} where <math>\{x_n=\cos(n)\}_{n\ge1}</math> and the series is truncated to 8 terms. Figure 2 shows the graph of an approximation to the antiderivative {{math|''G''(''x'')}}, also truncated to 8 terms. On the other hand if the Riemann integral is replaced by the [[Lebesgue integral]], then [[Fatou's lemma]] or the [[dominated convergence theorem]] shows that {{math|''g''}} does satisfy the fundamental theorem of calculus in that context.
since for any partition of <math>[F(-1),F(1)]</math>, one can choose sample points for the Riemann sum from the set <math>\{F(x_n)\}_{n\ge1}</math>, giving a value of 0 for the sum. It follows that {{math|''g''}} has a set of discontinuities of positive Lebesgue measure. Figure 1 on the right shows an approximation to the graph of {{math|''g''(''x'')}} where <math>\{x_n=\cos(n)\}_{n\ge1}</math> and the series is truncated to 8 terms. Figure 2 shows the graph of an approximation to the antiderivative {{math|''G''(''x'')}}, also truncated to 8 terms. On the other hand if the Riemann integral is replaced by the [[Lebesgue integral]], then [[Fatou's lemma]] or the [[dominated convergence theorem]] shows that {{math|''g''}} does satisfy the fundamental theorem of calculus in that context.
 
| 5 = In Examples 3 and 4, the sets of discontinuities of the functions {{math|''g''}} are dense only in a finite open interval <math>(a,b).</math> However, these examples can be easily modified so as to have sets of discontinuities which are dense on the entire real line <math>(-\infty,\infty)</math>. Let
|5= In Examples 3 and 4, the sets of discontinuities of the functions {{math|''g''}} are dense only in a finite open interval <math>(a,b).</math> However, these examples can be easily modified so as to have sets of discontinuities which are dense on the entire real line <math>(-\infty,\infty)</math>. Let
<math display="block">\lambda(x) = \frac{a+b}{2} + \frac{b-a}{\pi}\tan^{-1} x.</math>
<math display="block">\lambda(x) = \frac{a+b}{2} + \frac{b-a}{\pi}\tan^{-1} x.</math>


Then <math>g(\lambda(x))\lambda'(x)</math> has a dense set of discontinuities on <math>(-\infty,\infty)</math> and has antiderivative <math>G\cdot\lambda.</math>
Then <math>g(\lambda(x))\lambda'(x)</math> has a dense set of discontinuities on <math>(-\infty,\infty)</math> and has antiderivative <math>G\cdot\lambda.</math>
 
| 6 = Using a similar method as in Example 5, one can modify {{math|''g''}} in Example 4 so as to vanish at all [[rational numbers]]. If one uses a naive version of the [[Riemann integral]] defined as the limit of left-hand or right-hand Riemann sums over regular partitions, one will obtain that the integral of such a function {{math|''g''}} over an interval <math>[a,b]</math> is 0 whenever {{math|''a''}} and {{math|''b''}} are both rational, instead of <math>G(b) - G(a)</math>. Thus the fundamental theorem of calculus will fail spectacularly.
|6= Using a similar method as in Example 5, one can modify {{math|''g''}} in Example 4 so as to vanish at all [[rational numbers]]. If one uses a naive version of the [[Riemann integral]] defined as the limit of left-hand or right-hand Riemann sums over regular partitions, one will obtain that the integral of such a function {{math|''g''}} over an interval <math>[a,b]</math> is 0 whenever {{math|''a''}} and {{math|''b''}} are both rational, instead of <math>G(b) - G(a)</math>. Thus the fundamental theorem of calculus will fail spectacularly.
| 7 = A function which has an antiderivative may still fail to be Riemann integrable.  The derivative of [[Volterra's function]] is an example.
 
|7= A function which has an antiderivative may still fail to be Riemann integrable.  The derivative of [[Volterra's function]] is an example.
}}
}}


== Basic formulae ==
== Basic formulae ==


* If <math>{\mathrm{d} \over \mathrm{d}x} f(x) = g(x)</math>, then <math>\int g(x) \mathrm{d}x = f(x) + C</math>.
* If <math>{\frac{d}{dx}} f(x) = g(x)</math>, then <math>\int g(x) dx = f(x) + C</math>.
* <math>\int 1\ \mathrm{d}x = x + C</math>
* <math>\int 1dx = x + C</math>
* <math>\int a\ \mathrm{d}x = ax + C</math>
* <math>\int a\ dx = ax + C</math>
* <math>\int x^n \mathrm{d}x = \frac{x^{n+1}}{n+1} + C;\ n \neq -1</math>
* <math>\int x^n\ dx = \frac{x^{n+1}}{n+1} + C;\ n \neq -1</math>
* <math>\int \sin{x}\ \mathrm{d}x = -\cos{x} + C</math>
* <math>\int \sin{x}\ dx = -\cos{x} + C</math>
* <math>\int \cos{x}\ \mathrm{d}x = \sin{x} + C</math>
* <math>\int \cos{x}\ dx = \sin{x} + C</math>
* <math>\int \sec^2{x}\ \mathrm{d}x = \tan{x} + C</math>
* <math>\int \sec^2{x}\ dx = \tan{x} + C</math>
* <math>\int \csc^2{x}\ \mathrm{d}x = -\cot{x} + C</math>
* <math>\int \csc^2{x}\ dx = -\cot{x} + C</math>
* <math>\int \sec{x}\tan{x}\ \mathrm{d}x = \sec{x} + C</math>
* <math>\int \sec{x}\tan{x}\ dx = \sec{x} + C</math>
* <math>\int \csc{x}\cot{x}\ \mathrm{d}x = -\csc{x} + C</math>
* <math>\int \csc{x}\cot{x}\ dx = -\csc{x} + C</math>
* <math>\int \frac{1}{x}\ \mathrm{d}x = \ln|x| + C</math>
* <math>\int \frac{dx}{x} = \ln|x| + C</math>
* <math>\int \mathrm{e}^{x} \mathrm{d}x = \mathrm{e}^{x} + C</math>
* <math>\int e^{x}\ dx = e^{x} + C</math>
* <math>\int a^{x} \mathrm{d}x = \frac{a^{x}}{\ln a} + C;\ a > 0,\ a \neq 1</math>
* <math>\int a^{x}\ dx = \frac{a^{x}}{\ln a} + C;\ a > 0,\ a \neq 1</math>
* <math>\int \frac{1}\sqrt{a^2 - x^2}\ \mathrm{d}x = \arcsin\left(\frac{x}{a}\right) + C</math>
* <math>\int \frac{1}\sqrt{a^2 - x^2}\ dx = \arcsin\left(\frac{x}{a}\right) + C</math>
* <math>\int \frac{1}{a^2 + x^2}\ \mathrm{d}x = \frac{1}{a}\arctan\left(\frac{x}{a}\right) + C</math>
* <math>\int \frac{1}{a^2 + x^2}\ dx = \frac{1}{a}\arctan\left(\frac{x}{a}\right) + C</math>


==See also==
==See also==

Latest revision as of 15:49, 5 November 2025

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File:Slope Field.png
The slope field of F(x)=x33x22x+C, showing three of the infinitely many solutions that can be produced by varying the arbitrary constant Template:Mvar.

In calculus, an antiderivative, inverse derivative, primitive function, primitive integral or indefinite integral[Note 1] of a function Template:Math is a differentiable function Template:Math whose derivative is equal to the original function Template:Math. This can be stated symbolically as Template:Math.[1][2] The process of solving for antiderivatives is called antidifferentiation (or indefinite integration), and its opposite operation is called differentiation, which is the process of finding a derivative. Antiderivatives are often denoted by capital Roman letters such as Template:Mvar and Template:Mvar.

Antiderivatives are related to definite integrals through the second fundamental theorem of calculus: the definite integral of a function over a closed interval where the function is Riemann integrable is equal to the difference between the values of an antiderivative evaluated at the endpoints of the interval.

In physics, antiderivatives arise in the context of rectilinear motion (e.g., in explaining the relationship between position, velocity and acceleration).[3] The discrete equivalent of the notion of antiderivative is antidifference.

Examples

The function F(x)=x33 is an antiderivative of f(x)=x2, since the derivative of x33 is x2. Since the derivative of a constant is zero, x2 will have an infinite number of antiderivatives, such as x33,x33+1,x332, etc. Thus, all the antiderivatives of x2 can be obtained by changing the value of Template:Math in F(x)=x33+C, where Template:Math is an arbitrary constant known as the constant of integration. The graphs of antiderivatives of a given function are vertical translations of each other, with each graph's vertical location depending upon the value Template:Math.

More generally, the power function f(x)=xn has antiderivative F(x)=xn+1n+1+C if Template:Math, and F(x)=ln|x|+C if Template:Math.

In physics, the integration of acceleration yields velocity plus a constant. The constant is the initial velocity term that would be lost upon taking the derivative of velocity, because the derivative of a constant term is zero. This same pattern applies to further integrations and derivatives of motion (position, velocity, acceleration, and so on).[3] Thus, integration produces the relations of acceleration, velocity and displacement: adt=v+v0vdt=s+s0

Uses and properties

Antiderivatives can be used to compute definite integrals, using the fundamental theorem of calculus: if Template:Math is an antiderivative of the continuous function Template:Math over the interval [a,b], then: abf(x)dx=F(b)F(a).

Because of this, each of the infinitely many antiderivatives of a given function Template:Math may be called the "indefinite integral" of f and written using the integral symbol with no bounds: f(x)dx.

If Template:Math is an antiderivative of Template:Math, and the function Template:Math is defined on some interval, then every other antiderivative Template:Math of Template:Math differs from Template:Math by a constant: there exists a number Template:Math such that G(x)=F(x)+c for all Template:Math. Template:Math is called the constant of integration. If the domain of Template:Math is a disjoint union of two or more (open) intervals, then a different constant of integration may be chosen for each of the intervals. For instance F(x)={1x+c1x<01x+c2x>0

is the most general antiderivative of f(x)=1/x2 on its natural domain (,0)(0,).

Every continuous function Template:Math has an antiderivative, and one antiderivative Template:Math is given by the definite integral of Template:Math with variable upper boundary: F(x)=axf(t)dt, for any Template:Math in the domain of Template:Math. Varying the lower boundary produces other antiderivatives, but not necessarily all possible antiderivatives. This is another formulation of the fundamental theorem of calculus.

There are many elementary functions whose antiderivatives, even though they exist, cannot be expressed in terms of elementary functions. Elementary functions are polynomials, exponential functions, logarithms, trigonometric functions, inverse trigonometric functions and their combinations under composition and linear combination. Examples of these nonelementary integrals are Template:Div col

Template:Div col end For a more detailed discussion, see also Differential Galois theory.

Techniques of integration

Finding antiderivatives of elementary functions is often considerably harder than finding their derivatives (indeed, there is no pre-defined method for computing indefinite integrals).[4] For some elementary functions, it is impossible to find an antiderivative in terms of other elementary functions. To learn more, see elementary functions and nonelementary integral.

There exist many properties and techniques for finding antiderivatives. These include, among others:

Computer algebra systems can be used to automate some or all of the work involved in the symbolic techniques above, which is particularly useful when the algebraic manipulations involved are very complex or lengthy. Integrals which have already been derived can be looked up in a table of integrals.

Of non-continuous functions

Non-continuous functions can have antiderivatives. While there are still open questions in this area, it is known that:

  • Some highly pathological functions with large sets of discontinuities may nevertheless have antiderivatives.
  • In some cases, the antiderivatives of such pathological functions may be found by Riemann integration, while in other cases these functions are not Riemann integrable.

Assuming that the domains of the functions are open intervals:

Some examples

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Basic formulae

  • If ddxf(x)=g(x), then g(x)dx=f(x)+C.
  • 1dx=x+C
  • a dx=ax+C
  • xn dx=xn+1n+1+C; n1
  • sinx dx=cosx+C
  • cosx dx=sinx+C
  • sec2x dx=tanx+C
  • csc2x dx=cotx+C
  • secxtanx dx=secx+C
  • cscxcotx dx=cscx+C
  • dxx=ln|x|+C
  • ex dx=ex+C
  • ax dx=axlna+C; a>0, a1
  • 1a2x2 dx=arcsin(xa)+C
  • 1a2+x2 dx=1aarctan(xa)+C

See also

Notes

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References

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Further reading

External links

Template:Calculus topics Template:Authority control


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