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Integration by substitution

In calculus, integration by substitution, also known as u-substitution, reverse chain rule or change of variables,[1] is a method for evaluating integrals and antiderivatives. It is the counterpart to the chain rule for differentiation, and can loosely be thought of as using the chain rule "backwards."

Substitution for a single variable edit

Introduction (indefinite integrals) edit

Before stating the result rigorously, consider a simple case using indefinite integrals.

Compute  [2]

Set   This means   or in differential form,   Now:

 

where   is an arbitrary constant of integration.

This procedure is frequently used, but not all integrals are of a form that permits its use. In any event, the result should be verified by differentiating and comparing to the original integrand.

 

For definite integrals, the limits of integration must also be adjusted, but the procedure is mostly the same.

Statement for definite integrals edit

Let   be a differentiable function with a continuous derivative, where   is an interval. Suppose that   is a continuous function. Then:[3]

 

In Leibniz notation, the substitution   yields:

 
Working heuristically with infinitesimals yields the equation
 
which suggests the substitution formula above. (This equation may be put on a rigorous foundation by interpreting it as a statement about differential forms.) One may view the method of integration by substitution as a partial justification of Leibniz's notation for integrals and derivatives.

The formula is used to transform one integral into another integral that is easier to compute. Thus, the formula can be read from left to right or from right to left in order to simplify a given integral. When used in the former manner, it is sometimes known as u-substitution or w-substitution in which a new variable is defined to be a function of the original variable found inside the composite function multiplied by the derivative of the inner function. The latter manner is commonly used in trigonometric substitution, replacing the original variable with a trigonometric function of a new variable and the original differential with the differential of the trigonometric function.

Proof edit

Integration by substitution can be derived from the fundamental theorem of calculus as follows. Let   and   be two functions satisfying the above hypothesis that   is continuous on   and   is integrable on the closed interval  . Then the function   is also integrable on  . Hence the integrals

 

and

 

in fact exist, and it remains to show that they are equal.

Since   is continuous, it has an antiderivative  . The composite function   is then defined. Since   is differentiable, combining the chain rule and the definition of an antiderivative gives:

 

Applying the fundamental theorem of calculus twice gives:

 

which is the substitution rule.

Examples: Definite integrals edit

Example 1 edit

Consider the integral:

 

Make the substitution   to obtain   meaning   Therefore:

 

Since the lower limit   was replaced with   and the upper limit   with   a transformation back into terms of   was unnecessary.

Alternatively, one may fully evaluate the indefinite integral (see below) first then apply the boundary conditions. This becomes especially handy when multiple substitutions are used.

Example 2 edit

For the integral

 
a variation of the above procedure is needed. The substitution   implying   is useful because   We thus have:
 

The resulting integral can be computed using integration by parts or a double angle formula,   followed by one more substitution. One can also note that the function being integrated is the upper right quarter of a circle with a radius of one, and hence integrating the upper right quarter from zero to one is the geometric equivalent to the area of one quarter of the unit circle, or  

Examples: Antiderivatives edit

Substitution can be used to determine antiderivatives. One chooses a relation between   and   determines the corresponding relation between   and   by differentiating, and performs the substitutions. An antiderivative for the substituted function can hopefully be determined; the original substitution between   and   is then undone.

Similar to example 1 above, the following antiderivative can be obtained with this method:

 

where   is an arbitrary constant of integration.

There were no integral boundaries to transform, but in the last step reverting the original substitution   was necessary. When evaluating definite integrals by substitution, one may calculate the antiderivative fully first, then apply the boundary conditions. In that case, there is no need to transform the boundary terms.

Trigonometric functions edit

The tangent function can be integrated using substitution by expressing it in terms of the sine and cosine:  .

Using the substitution   gives   and

 

The cotangent function can be integrated similarly by expressing it as   and using the substitution  :

 

Substitution for multiple variables edit

One may also use substitution when integrating functions of several variables.

Here, the substitution function (v1,...,vn) = φ(u1, ..., un) needs to be injective and continuously differentiable, and the differentials transform as:

 

where det()(u1, ..., un) denotes the determinant of the Jacobian matrix of partial derivatives of φ at the point (u1, ..., un). This formula expresses the fact that the absolute value of the determinant of a matrix equals the volume of the parallelotope spanned by its columns or rows.

More precisely, the change of variables formula is stated in the next theorem:

Theorem. Let U be an open set in Rn and φ : URn an injective differentiable function with continuous partial derivatives, the Jacobian of which is nonzero for every x in U. Then for any real-valued, compactly supported, continuous function f, with support contained in φ(U):

 

The conditions on the theorem can be weakened in various ways. First, the requirement that φ be continuously differentiable can be replaced by the weaker assumption that φ be merely differentiable and have a continuous inverse.[4] This is guaranteed to hold if φ is continuously differentiable by the inverse function theorem. Alternatively, the requirement that det() ≠ 0 can be eliminated by applying Sard's theorem.[5]

For Lebesgue measurable functions, the theorem can be stated in the following form:[6]

Theorem. Let U be a measurable subset of Rn and φ : URn an injective function, and suppose for every x in U there exists φ′(x) in Rn,n such that φ(y) = φ(x) + φ′(x)(yx) + o(||yx||) as yx (here o is little-o notation). Then φ(U) is measurable, and for any real-valued function f defined on φ(U):

 
in the sense that if either integral exists (including the possibility of being properly infinite), then so does the other one, and they have the same value.

Another very general version in measure theory is the following:[7]

Theorem. Let X be a locally compact Hausdorff space equipped with a finite Radon measure μ, and let Y be a σ-compact Hausdorff space with a σ-finite Radon measure ρ. Let φ : XY be an absolutely continuous function (where the latter means that ρ(φ(E)) = 0 whenever μ(E) = 0). Then there exists a real-valued Borel measurable function w on X such that for every Lebesgue integrable function f : YR, the function (fφ) ⋅ w is Lebesgue integrable on X, and

 
Furthermore, it is possible to write
 
for some Borel measurable function g on Y.

In geometric measure theory, integration by substitution is used with Lipschitz functions. A bi-Lipschitz function is a Lipschitz function φ : URn which is injective and whose inverse function φ−1 : φ(U) → U is also Lipschitz. By Rademacher's theorem, a bi-Lipschitz mapping is differentiable almost everywhere. In particular, the Jacobian determinant of a bi-Lipschitz mapping det is well-defined almost everywhere. The following result then holds:

Theorem. Let U be an open subset of Rn and φ : URn be a bi-Lipschitz mapping. Let f : φ(U) → R be measurable. Then

 
in the sense that if either integral exists (or is properly infinite), then so does the other one, and they have the same value.

The above theorem was first proposed by Euler when he developed the notion of double integrals in 1769. Although generalized to triple integrals by Lagrange in 1773, and used by Legendre, Laplace, and Gauss, and first generalized to n variables by Mikhail Ostrogradsky in 1836, it resisted a fully rigorous formal proof for a surprisingly long time, and was first satisfactorily resolved 125 years later, by Élie Cartan in a series of papers beginning in the mid-1890s.[8][9]

Application in probability edit

Substitution can be used to answer the following important question in probability: given a random variable X with probability density pX and another random variable Y such that Y= ϕ(X) for injective (one-to-one) ϕ, what is the probability density for Y?

It is easiest to answer this question by first answering a slightly different question: what is the probability that Y takes a value in some particular subset S? Denote this probability P(YS). Of course, if Y has probability density pY, then the answer is:

 

but this is not really useful because we do not know pY; it is what we are trying to find. We can make progress by considering the problem in the variable X. Y takes a value in S whenever X takes a value in   so:

 

Changing from variable x to y gives:

 

Combining this with our first equation gives:

 

so:

 

In the case where X and Y depend on several uncorrelated variables (i.e.,   and  ),  can be found by substitution in several variables discussed above. The result is:

 

See also edit

Notes edit

  1. ^ Swokowski 1983, p. 257
  2. ^ Swokowski 1983, p. 258
  3. ^ Briggs & Cochran 2011, pg.361
  4. ^ Rudin 1987, Theorem 7.26
  5. ^ Spivak 1965, p. 72
  6. ^ Fremlin 2010, Theorem 263D
  7. ^ Hewitt & Stromberg 1965, Theorem 20.3
  8. ^ Katz 1982
  9. ^ Ferzola 1994

References edit

  • Briggs, William; Cochran, Lyle (2011), Calculus /Early Transcendentals (Single Variable ed.), Addison-Wesley, ISBN 978-0-321-66414-3
  • Ferzola, Anthony P. (1994), "Euler and differentials", The College Mathematics Journal, 25 (2): 102–111, doi:10.2307/2687130, JSTOR 2687130
  • Fremlin, D.H. (2010), Measure Theory, Volume 2, Torres Fremlin, ISBN 978-0-9538129-7-4.
  • Hewitt, Edwin; Stromberg, Karl (1965), Real and Abstract Analysis, Springer-Verlag, ISBN 978-0-387-04559-7.
  • Katz, V. (1982), "Change of variables in multiple integrals: Euler to Cartan", Mathematics Magazine, 55 (1): 3–11, doi:10.2307/2689856, JSTOR 2689856
  • Rudin, Walter (1987), Real and Complex Analysis, McGraw-Hill, ISBN 978-0-07-054234-1.
  • Swokowski, Earl W. (1983), Calculus with analytic geometry (alternate ed.), Prindle, Weber & Schmidt, ISBN 0-87150-341-7
  • Spivak, Michael (1965), Calculus on Manifolds, Westview Press, ISBN 978-0-8053-9021-6.

External links edit

integration, substitution, calculus, integration, substitution, also, known, substitution, reverse, chain, rule, change, variables, method, evaluating, integrals, antiderivatives, counterpart, chain, rule, differentiation, loosely, thought, using, chain, rule,. In calculus integration by substitution also known as u substitution reverse chain rule or change of variables 1 is a method for evaluating integrals and antiderivatives It is the counterpart to the chain rule for differentiation and can loosely be thought of as using the chain rule backwards Contents 1 Substitution for a single variable 1 1 Introduction indefinite integrals 1 2 Statement for definite integrals 1 3 Proof 1 4 Examples Definite integrals 1 4 1 Example 1 1 4 2 Example 2 1 5 Examples Antiderivatives 1 5 1 Trigonometric functions 2 Substitution for multiple variables 3 Application in probability 4 See also 5 Notes 6 References 7 External linksSubstitution for a single variable editIntroduction indefinite integrals edit Before stating the result rigorously consider a simple case using indefinite integrals Compute 2 x 3 1 7 x 2 d x textstyle int 2x 3 1 7 x 2 dx nbsp 2 Set u 2 x 3 1 displaystyle u 2x 3 1 nbsp This means d u d x 6 x 2 textstyle frac du dx 6x 2 nbsp or in differential form d u 6 x 2 d x textstyle du 6x 2 dx nbsp Now 2 x 3 1 7 x 2 d x 1 6 2 x 3 1 7 u 7 6 x 2 d x d u 1 6 u 7 d u 1 6 1 8 u 8 C 1 48 2 x 3 1 8 C displaystyle begin aligned int 2x 3 1 7 x 2 dx amp frac 1 6 int underbrace 2x 3 1 7 u 7 underbrace 6x 2 dx du amp frac 1 6 int u 7 du amp frac 1 6 left frac 1 8 u 8 right C amp frac 1 48 2x 3 1 8 C end aligned nbsp where C displaystyle C nbsp is an arbitrary constant of integration This procedure is frequently used but not all integrals are of a form that permits its use In any event the result should be verified by differentiating and comparing to the original integrand d d x 1 48 2 x 3 1 8 C 1 6 2 x 3 1 7 6 x 2 2 x 3 1 7 x 2 displaystyle frac d dx left frac 1 48 2x 3 1 8 C right frac 1 6 2x 3 1 7 6x 2 2x 3 1 7 x 2 nbsp For definite integrals the limits of integration must also be adjusted but the procedure is mostly the same Statement for definite integrals edit Let g a b I displaystyle g a b rightarrow I nbsp be a differentiable function with a continuous derivative where I R displaystyle I subset mathbb R nbsp is an interval Suppose that f I R displaystyle f I rightarrow mathbb R nbsp is a continuous function Then 3 a b f g x g x d x g a g b f u d u displaystyle int a b f g x cdot g x dx int g a g b f u du nbsp In Leibniz notation the substitution u g x displaystyle u g x nbsp yields d u d x g x displaystyle frac du dx g x nbsp Working heuristically with infinitesimals yields the equation d u g x d x displaystyle du g x dx nbsp which suggests the substitution formula above This equation may be put on a rigorous foundation by interpreting it as a statement about differential forms One may view the method of integration by substitution as a partial justification of Leibniz s notation for integrals and derivatives The formula is used to transform one integral into another integral that is easier to compute Thus the formula can be read from left to right or from right to left in order to simplify a given integral When used in the former manner it is sometimes known as u substitution or w substitution in which a new variable is defined to be a function of the original variable found inside the composite function multiplied by the derivative of the inner function The latter manner is commonly used in trigonometric substitution replacing the original variable with a trigonometric function of a new variable and the original differential with the differential of the trigonometric function Proof edit Integration by substitution can be derived from the fundamental theorem of calculus as follows Let f displaystyle f nbsp and g displaystyle g nbsp be two functions satisfying the above hypothesis that f displaystyle f nbsp is continuous on I displaystyle I nbsp and g displaystyle g nbsp is integrable on the closed interval a b displaystyle a b nbsp Then the function f g x g x displaystyle f g x cdot g x nbsp is also integrable on a b displaystyle a b nbsp Hence the integrals a b f g x g x d x displaystyle int a b f g x cdot g x dx nbsp and g a g b f u d u displaystyle int g a g b f u du nbsp in fact exist and it remains to show that they are equal Since f displaystyle f nbsp is continuous it has an antiderivative F displaystyle F nbsp The composite function F g displaystyle F circ g nbsp is then defined Since g displaystyle g nbsp is differentiable combining the chain rule and the definition of an antiderivative gives F g x F g x g x f g x g x displaystyle F circ g x F g x cdot g x f g x cdot g x nbsp Applying the fundamental theorem of calculus twice gives a b f g x g x d x a b F g x d x F g b F g a F g b F g a g a g b f u d u displaystyle begin aligned int a b f g x cdot g x dx amp int a b F circ g x dx amp F circ g b F circ g a amp F g b F g a amp int g a g b f u du end aligned nbsp which is the substitution rule Examples Definite integrals edit Example 1 edit Consider the integral 0 2 x cos x 2 1 d x displaystyle int 0 2 x cos x 2 1 dx nbsp Make the substitution u x 2 1 textstyle u x 2 1 nbsp to obtain d u 2 x d x displaystyle du 2x dx nbsp meaning x d x 1 2 d u textstyle x dx frac 1 2 du nbsp Therefore x 0 x 2 x cos x 2 1 d x 1 2 u 1 u 5 cos u d u 1 2 sin 5 sin 1 displaystyle begin aligned int x 0 x 2 x cos x 2 1 dx amp frac 1 2 int u 1 u 5 cos u du 6pt amp frac 1 2 sin 5 sin 1 end aligned nbsp Since the lower limit x 0 displaystyle x 0 nbsp was replaced with u 1 displaystyle u 1 nbsp and the upper limit x 2 displaystyle x 2 nbsp with 2 2 1 5 displaystyle 2 2 1 5 nbsp a transformation back into terms of x displaystyle x nbsp was unnecessary Alternatively one may fully evaluate the indefinite integral see below first then apply the boundary conditions This becomes especially handy when multiple substitutions are used Example 2 edit For the integral 0 1 1 x 2 d x displaystyle int 0 1 sqrt 1 x 2 dx nbsp a variation of the above procedure is needed The substitution x sin u displaystyle x sin u nbsp implying d x cos u d u displaystyle dx cos u du nbsp is useful because 1 sin 2 u cos u textstyle sqrt 1 sin 2 u cos u nbsp We thus have 0 1 1 x 2 d x 0 p 2 1 sin 2 u cos u d u 0 p 2 cos 2 u d u u 2 sin 2 u 4 0 p 2 p 4 0 p 4 displaystyle begin aligned int 0 1 sqrt 1 x 2 dx amp int 0 pi 2 sqrt 1 sin 2 u cos u du 6pt amp int 0 pi 2 cos 2 u du 6pt amp left frac u 2 frac sin 2u 4 right 0 pi 2 6pt amp frac pi 4 0 amp frac pi 4 end aligned nbsp The resulting integral can be computed using integration by parts or a double angle formula 2 cos 2 u 1 cos 2 u textstyle 2 cos 2 u 1 cos 2u nbsp followed by one more substitution One can also note that the function being integrated is the upper right quarter of a circle with a radius of one and hence integrating the upper right quarter from zero to one is the geometric equivalent to the area of one quarter of the unit circle or p 4 displaystyle frac pi 4 nbsp Examples Antiderivatives edit Substitution can be used to determine antiderivatives One chooses a relation between x displaystyle x nbsp and u displaystyle u nbsp determines the corresponding relation between d x displaystyle dx nbsp and d u displaystyle du nbsp by differentiating and performs the substitutions An antiderivative for the substituted function can hopefully be determined the original substitution between x displaystyle x nbsp and u displaystyle u nbsp is then undone Similar to example 1 above the following antiderivative can be obtained with this method x cos x 2 1 d x 1 2 2 x cos x 2 1 d x 1 2 cos u d u 1 2 sin u C 1 2 sin x 2 1 C displaystyle begin aligned int x cos x 2 1 dx amp frac 1 2 int 2x cos x 2 1 dx 6pt amp frac 1 2 int cos u du 6pt amp frac 1 2 sin u C amp frac 1 2 sin x 2 1 C end aligned nbsp where C displaystyle C nbsp is an arbitrary constant of integration There were no integral boundaries to transform but in the last step reverting the original substitution u x 2 1 displaystyle u x 2 1 nbsp was necessary When evaluating definite integrals by substitution one may calculate the antiderivative fully first then apply the boundary conditions In that case there is no need to transform the boundary terms Trigonometric functions edit The tangent function can be integrated using substitution by expressing it in terms of the sine and cosine tan x sin x cos x displaystyle tan x frac sin x cos x nbsp Using the substitution u cos x displaystyle u cos x nbsp gives d u sin x d x displaystyle du sin x dx nbsp and tan x d x sin x cos x d x d u u ln u C ln cos x C ln cos x 1 C ln sec x C displaystyle begin aligned int tan x dx amp int frac sin x cos x dx amp int frac du u amp ln u C amp ln cos x C amp ln cos x 1 C amp ln sec x C end aligned nbsp The cotangent function can be integrated similarly by expressing it as cot x cos x sin x displaystyle cot x frac cos x sin x nbsp and using the substitution u sin x d u cos x d x displaystyle u sin x du cos x dx nbsp cot x d x cos x sin x d x d u u ln u C ln sin x C displaystyle begin aligned int cot x dx amp int frac cos x sin x dx amp int frac du u amp ln u C amp ln sin x C end aligned nbsp Substitution for multiple variables editOne may also use substitution when integrating functions of several variables Here the substitution function v1 vn f u1 un needs to be injective and continuously differentiable and the differentials transform as d v 1 d v n det D f u 1 u n d u 1 d u n displaystyle dv 1 cdots dv n left det D varphi u 1 ldots u n right du 1 cdots du n nbsp where det Df u1 un denotes the determinant of the Jacobian matrix of partial derivatives of f at the point u1 un This formula expresses the fact that the absolute value of the determinant of a matrix equals the volume of the parallelotope spanned by its columns or rows More precisely the change of variables formula is stated in the next theorem Theorem Let U be an open set in Rn and f U Rn an injective differentiable function with continuous partial derivatives the Jacobian of which is nonzero for every x in U Then for any real valued compactly supported continuous function f with support contained in f U f U f v d v U f f u det D f u d u displaystyle int varphi U f mathbf v d mathbf v int U f varphi mathbf u left det D varphi mathbf u right d mathbf u nbsp The conditions on the theorem can be weakened in various ways First the requirement that f be continuously differentiable can be replaced by the weaker assumption that f be merely differentiable and have a continuous inverse 4 This is guaranteed to hold if f is continuously differentiable by the inverse function theorem Alternatively the requirement that det Df 0 can be eliminated by applying Sard s theorem 5 For Lebesgue measurable functions the theorem can be stated in the following form 6 Theorem Let U be a measurable subset of Rn and f U Rn an injective function and suppose for every x in U there exists f x in Rn n such that f y f x f x y x o y x as y x here o is little o notation Then f U is measurable and for any real valued function f defined on f U f U f v d v U f f u det f u d u displaystyle int varphi U f v dv int U f varphi u left det varphi u right du nbsp in the sense that if either integral exists including the possibility of being properly infinite then so does the other one and they have the same value Another very general version in measure theory is the following 7 Theorem Let X be a locally compact Hausdorff space equipped with a finite Radon measure m and let Y be a s compact Hausdorff space with a s finite Radon measure r Let f X Y be an absolutely continuous function where the latter means that r f E 0 whenever m E 0 Then there exists a real valued Borel measurable function w on X such that for every Lebesgue integrable function f Y R the function f f w is Lebesgue integrable on X and Y f y d r y X f f x w x d m x displaystyle int Y f y d rho y int X f circ varphi x w x d mu x nbsp Furthermore it is possible to write w x g f x displaystyle w x g circ varphi x nbsp for some Borel measurable function g on Y In geometric measure theory integration by substitution is used with Lipschitz functions A bi Lipschitz function is a Lipschitz function f U Rn which is injective and whose inverse function f 1 f U U is also Lipschitz By Rademacher s theorem a bi Lipschitz mapping is differentiable almost everywhere In particular the Jacobian determinant of a bi Lipschitz mapping det Df is well defined almost everywhere The following result then holds Theorem Let U be an open subset of Rn and f U Rn be a bi Lipschitz mapping Let f f U R be measurable Then U f f x det D f x d x f U f x d x displaystyle int U f circ varphi x det D varphi x dx int varphi U f x dx nbsp in the sense that if either integral exists or is properly infinite then so does the other one and they have the same value The above theorem was first proposed by Euler when he developed the notion of double integrals in 1769 Although generalized to triple integrals by Lagrange in 1773 and used by Legendre Laplace and Gauss and first generalized to n variables by Mikhail Ostrogradsky in 1836 it resisted a fully rigorous formal proof for a surprisingly long time and was first satisfactorily resolved 125 years later by Elie Cartan in a series of papers beginning in the mid 1890s 8 9 Application in probability editSubstitution can be used to answer the following important question in probability given a random variable X with probability density pX and another random variable Y such that Y ϕ X for injective one to one ϕ what is the probability density for Y It is easiest to answer this question by first answering a slightly different question what is the probability that Y takes a value in some particular subset S Denote this probability P Y S Of course if Y has probability density pY then the answer is P Y S S p Y y d y displaystyle P Y in S int S p Y y dy nbsp but this is not really useful because we do not know pY it is what we are trying to find We can make progress by considering the problem in the variable X Y takes a value in S whenever X takes a value in ϕ 1 S textstyle phi 1 S nbsp so P Y S P X ϕ 1 S ϕ 1 S p X x d x displaystyle P Y in S P X in phi 1 S int phi 1 S p X x dx nbsp Changing from variable x to y gives P Y S ϕ 1 S p X x d x S p X ϕ 1 y d ϕ 1 d y d y displaystyle P Y in S int phi 1 S p X x dx int S p X phi 1 y left frac d phi 1 dy right dy nbsp Combining this with our first equation gives S p Y y d y S p X ϕ 1 y d ϕ 1 d y d y displaystyle int S p Y y dy int S p X phi 1 y left frac d phi 1 dy right dy nbsp so p Y y p X ϕ 1 y d ϕ 1 d y displaystyle p Y y p X phi 1 y left frac d phi 1 dy right nbsp In the case where X and Y depend on several uncorrelated variables i e p X p X x 1 x n textstyle p X p X x 1 ldots x n nbsp and y ϕ x displaystyle y phi x nbsp p Y displaystyle p Y nbsp can be found by substitution in several variables discussed above The result is p Y y p X ϕ 1 y det D ϕ 1 y displaystyle p Y y p X phi 1 y left det D phi 1 y right nbsp See also edit nbsp Mathematics portalProbability density function Substitution of variables Trigonometric substitution Weierstrass substitution Euler substitution Glasser s master theorem Pushforward measureNotes edit Swokowski 1983 p 257 Swokowski 1983 p 258 Briggs amp Cochran 2011 pg 361 Rudin 1987 Theorem 7 26 Spivak 1965 p 72 Fremlin 2010 Theorem 263D Hewitt amp Stromberg 1965 Theorem 20 3 Katz 1982 Ferzola 1994References editBriggs William Cochran Lyle 2011 Calculus Early Transcendentals Single Variable ed Addison Wesley ISBN 978 0 321 66414 3 Ferzola Anthony P 1994 Euler and differentials The College Mathematics Journal 25 2 102 111 doi 10 2307 2687130 JSTOR 2687130 Fremlin D H 2010 Measure Theory Volume 2 Torres Fremlin ISBN 978 0 9538129 7 4 Hewitt Edwin Stromberg Karl 1965 Real and Abstract Analysis Springer Verlag ISBN 978 0 387 04559 7 Katz V 1982 Change of variables in multiple integrals Euler to Cartan Mathematics Magazine 55 1 3 11 doi 10 2307 2689856 JSTOR 2689856 Rudin Walter 1987 Real and Complex Analysis McGraw Hill ISBN 978 0 07 054234 1 Swokowski Earl W 1983 Calculus with analytic geometry alternate ed Prindle Weber amp Schmidt ISBN 0 87150 341 7 Spivak Michael 1965 Calculus on Manifolds Westview Press ISBN 978 0 8053 9021 6 External links edit nbsp The Wikibook Calculus has a page on the topic of The Substitution Rule nbsp Wikiversity has learning resources about Integration by Substitution Integration by substitution at Encyclopedia of Mathematics Area formula at Encyclopedia of Mathematics Retrieved from https en wikipedia org w index php title Integration by substitution amp oldid 1180000724, wikipedia, wiki, book, books, library,

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