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Change of Variables in Multiple Integrals
Determine the image of a region under a given transformation of variables.
Planar Transformations
A planar transformation \(T\) is a function that transforms a region \(G\) in one plane into a region \(R\) in another plane by a change of variables. Both \(G\) and \(R\) are subsets of \({ℝ}^{2}.\) For example, shows a region \(G\) in the \(uv\text{-plane}\) transformed into a region \(R\) in the \(xy\text{-plane}\) by the change of variables \(x=g(u,v)\) and \(y=h(u,v),\) or sometimes we write \(x=x(u,v)\) and \(y=y(u,v).\) We shall typically assume that each of these functions has continuous first partial derivatives, which means \({g}_{u},{g}_{v},{h}_{u},\) and \({h}_{v}\) exist and are also continuous. The need for this requirement will become clear soon.
To show that \(T\) is a one-to-one transformation, we assume \(T({u}_{1},{v}_{1})=T({u}_{2},{v}_{2})\) and show that as a consequence we obtain \(({u}_{1},{v}_{1})=({u}_{2},{v}_{2}).\) If the transformation \(T\) is one-to-one in the domain \(G,\) then the inverse \({T}^{-1}\) exists with the domain \(R\) such that \({T}^{-1}∘T\) and \(T∘{T}^{-1}\) are identity functions.
shows the mapping \(T(u,v)=(x,y)\) where \(x\) and \(y\) are related to \(u\) and \(v\) by the equations \(x=g(u,v)\) and \(y=h(u,v).\) The region \(G\) is the domain of \(T\) and the region \(R\) is the range of \(T,\) also known as the image of \(G\) under the transformation \(T.\)
Example
Try it.
Let the transformation \(T\) be defined by \(T(u,v)=(x,y)\) where \(x={u}^{2}-{v}^{2}\) and \(y=uv.\) Find the image of the triangle in the \(uv\text{-plane}\) with vertices \((0,0),(0,1),\) and \((1,1).\)
Solution
The triangle and its image are To understand how the sides of the triangle transform, call the side that joins \((0,0)\) and \((0,1)\) side \(A,\) the side that joins \((0,0)\) and \((1,1)\) side \(B,\) and the side that joins \((1,1)\) and \((0,1)\) side \(C.\)
For the side \(A\text{:}\ u=0,0\le v\le 1\) transforms to \(x=\text{-}{v}^{2},y=0\) so this is the side \(A'\) that joins \((-1,0)\) and \((0,0).\)
For the side \(B\text{:}\ u=v,0\le u\le 1\) transforms to \(x=0,y={u}^{2}\) so this is the side \({B}^{'}\) that joins \((0,0)\) and \((0,1).\)
For the side \(C\text{:}\ 0\le u\le 1,v=1\) transforms to \(x={u}^{2}-1,y=u\) (hence \(x={y}^{2}-1)\) so this is the side \({C}^{'}\) that makes the upper half of the parabolic arc joining \((-1,0)\) and \((0,1).\)
All the points in the entire region of the triangle in the \(uv\text{-plane}\) are mapped inside the parabolic region in the \(xy\text{-plane}\text{.}\)
Condensed: the full section is in OpenStax Calculus Volume 3.
Jacobians
Recall that we mentioned near the beginning of this section that each of the component functions must have continuous first partial derivatives, which means that \({g}_{u},{g}_{v},{h}_{u},\) and \({h}_{v}\) exist and are also continuous. A transformation that has this property is called a \({C}^{1}\) transformation (here \(C\) denotes continuous). Let \(T(u,v)=(g(u,v),h(u,v)),\) where \(x=g(u,v)\) and \(y=h(u,v),\) be a one-to-one \({C}^{1}\) transformation. We want to see how it transforms a small rectangular region \(S,\) \(\Delta u\) units by \(\Delta v\) units, in the \(uv\text{-plane}\) (see the following figure).
Since \(x=g(u,v)\) and \(y=h(u,v),\) we have the position vector \(r(u,v)=g(u,v)i+h(u,v)j\) of the image of the point \((u,v).\) Suppose that \(({u}_{0},{v}_{0})\) is the coordinate of the point at the lower left corner that mapped to \(({x}_{0},{y}_{0})=T({u}_{0},{v}_{0}).\) The line \(v={v}_{0}\) maps to the image curve with vector function \(\text{r}(u,{v}_{0}),\) and the tangent vector at \(({x}_{0},{y}_{0})\) to the image curve is
\[{r}_{u}={g}_{u}({u}_{0},{v}_{0})i+{h}_{u}({u}_{0},{v}_{0})j=\frac{∂x}{∂u}i+\frac{∂y}{∂u}j.\]Similarly, the line \(u={u}_{0}\) maps to the image curve with vector function \(r({u}_{0},v),\) and the tangent vector at \(({x}_{0},{y}_{0})\) to the image curve is
\[{r}_{v}={g}_{v}({u}_{0},{v}_{0})i+{h}_{v}({u}_{0},{v}_{0})j=\frac{∂x}{∂v}i+\frac{∂y}{∂v}j.\]Now, note that
\[{r}_{u}=\underset{\Delta u\to 0}{\text{lim}}\frac{r({u}_{0}+\Delta u,{v}_{0})-r({u}_{0},{v}_{0})}{\Delta u}\ \text{so}\ r({u}_{0}+\Delta u,{v}_{0})-r({u}_{0},{v}_{0})\approx \Delta u{r}_{u}.\]Similarly,
\[{r}_{v}=\underset{\Delta v\to 0}{\text{lim}}\frac{r({u}_{0},{v}_{0}+\Delta v)-r({u}_{0},{v}_{0})}{\Delta v}\ \text{so}\ r({u}_{0},{v}_{0}+\Delta v)-r({u}_{0},{v}_{0})\approx \Delta v{r}_{v}.\]This allows us to estimate the area \(\Delta A\) of the image \(R\) by finding the area of the parallelogram formed by the sides \(\Delta v{r}_{v}\) and \(\Delta u{r}_{u}.\) By using the cross product of these two vectors by adding the k component as \(0,\) the area \(\Delta A\) of the image \(R\) (refer to The Cross Product) is approximately \(||\Delta {\text{ur}}_{u}\ \times \ \Delta {\text{vr}}_{v}||=||{r}_{u}\ \times \ {r}_{v}||\Delta u\Delta v.\) In determinant form, the cross product is
Since \(||k||=1,\) we have \(\Delta A\approx ||{r}_{u}\ \times \ {r}_{v}||\Delta u\Delta v=(\frac{∂x}{∂u}\ \frac{∂y}{∂v}-\frac{∂x}{∂v}\ \frac{∂y}{∂u})\Delta u\Delta v.\)
\[J(u,v)=\frac{∂(x,y)}{∂(u,v)}.\]Condensed: the full section is in OpenStax Calculus Volume 3.
Change of Variables for Double Integrals
We have already seen that, under the change of variables \(T(u,v)=(x,y)\) where \(x=g(u,v)\) and \(y=h(u,v),\) a small region \(\Delta A\) in the \(xy\text{-plane}\) is related to the area formed by the product \(\Delta u\Delta v\) in the \(uv\text{-plane}\) by the approximation
\[\Delta A\approx J(u,v)\Delta u,\Delta v.\]Now let’s go back to the definition of double integral for a minute:
\[\underset{R}{∬}f(x,y)dA=\underset{m,n\to \infty }{\text{lim}}\sum _{i=1}^{m}\sum _{j=1}^{n}f({x}_{ij},{y}_{ij})\Delta A.\]Referring to , observe that we divided the region \(S\) in the \(uv\text{-plane}\) into small subrectangles \({S}_{ij}\) and we let the subrectangles \({R}_{ij}\) in the \(xy\text{-plane}\) be the images of \({S}_{ij}\) under the transformation \(T(u,v)=(x,y).\)
Then the double integral becomes
\[\underset{R}{∬}f(x,y)dA=\underset{m,n\to \infty }{\text{lim}}\sum _{i=1}^{m}\sum _{j=1}^{n}f({x}_{ij},{y}_{ij})\Delta A=\underset{m,n\to \infty }{\text{lim}}\sum _{i=1}^{m}\sum _{j=1}^{n}f(g({u}_{ij},{v}_{ij}),h({u}_{ij},{v}_{ij}))|J({u}_{ij},{v}_{ij})|\Delta u\Delta v.\]Notice this is exactly the double Riemann sum for the integral
\[\underset{S}{∬}f(g(u,v),h(u,v))|\frac{∂(x,y)}{∂(u,v)}|du\ dv.\]With this theorem for double integrals, we can change the variables from \((x,y)\) to \((u,v)\) in a double integral simply by replacing
\[dA=dx\ dy=|\frac{∂(x,y)}{∂(u,v)}|du\ dv\]when we use the substitutions \(x=g(u,v)\) and \(y=h(u,v)\) and then change the limits of integration accordingly. This change of variables often makes any computations much simpler.
Condensed: the full section is in OpenStax Calculus Volume 3.
Change of Variables for Triple Integrals
Changing variables in triple integrals works in exactly the same way. Cylindrical and spherical coordinate substitutions are special cases of this method, which we demonstrate here.
Suppose that \(G\) is a region in \(uvw\text{-space}\) and is mapped to \(D\) in \(xyz\text{-space}\) () by a one-to-one \({C}^{1}\) transformation \(T(u,v,w)=(x,y,z)\) where \(x=g(u,v,w),\) \(y=h(u,v,w),\) and \(z=k(u,v,w).\)
Then any function \(F(x,y,z)\) defined on \(D\) can be thought of as another function \(H(u,v,w)\) that is defined on \(G\text{:}\)
\[F(x,y,z)=F(g(u,v,w),h(u,v,w),k(u,v,w))=H(u,v,w).\]Now we need to define the Jacobian for three variables.
With the transformations and the Jacobian for three variables, we are ready to establish the theorem that describes change of variables for triple integrals.
Let us now see how changes in triple integrals for cylindrical and spherical coordinates are affected by this theorem. We expect to obtain the same formulas as in Triple Integrals in Cylindrical and Spherical Coordinates.
Let’s try another example with a different substitution.
Condensed: the full section is in OpenStax Calculus Volume 3.
Key Concepts
- A transformation \(T\) is a function that transforms a region \(G\) in one plane (space) into a region \(R\) in another plane (space) by a change of variables.
- A transformation \(T:G\to R\) defined as \(T(u,v)=(x,y)\) \((\text{or}\ T(u,v,w)=(x,y,z))\) is said to be a one-to-one transformation if no two points map to the same image point.
- If \(f\) is continuous on \(R,\) then \(\underset{R}{∬}f(x,y)dA=\underset{S}{∬}f(g(u,v),h(u,v))|\frac{∂(x,y)}{∂(u,v)}|du\ dv.\)
- If \(F\) is continuous on \(R,\) then
\[\begin{array}{ll}\underset{R}{∭}F(x,y,z)dV & =\underset{G}{∭}F(g(u,v,w),h(u,v,w),k(u,v,w))|\frac{∂(x,y,z)}{∂(u,v,w)}|du\ dv\ dw \\ & =\underset{G}{∭}H(u,v,w)|J(u,v,w)|du\ dv\ dw.\end{array}\]
Change of Variables in Multiple Integrals
In the following exercises, the function \(T:S\to R,T(u,v)=(x,y)\) on the region \(S=\{(u,v)|0\le u\le 1,0\le v\le 1\}\) bounded by the unit square is given, where \(R⊂{ℝ}^{2}\) is the image of \(S\) under \(T.\)
- Justify that the function \(T\) is a \({C}^{1}\) transformation.
- Find the images of the vertices of the unit square \(S\) through the function \(T.\)
- Determine the image \(R\) of the unit square \(S\) and graph it.
In the following exercises, determine whether the transformations \(T:S\to R\) are one-to-one or not.
In the following exercises, the transformations \(T:S\to R\) are one-to-one. Find their related inverse transformations \({T}^{-1}:R\to S.\)
In the following exercises, the transformation \(T:S\to R,T(u,v)=(x,y)\) and the region \(R⊂{ℝ}^{2}\) are given. Find the region \(S⊂{ℝ}^{2}.\)
In the following exercises, find the Jacobian \(J\) of the transformation.
In the following exercises, use the transformation \(u=y-x,v=y,\) to evaluate the integrals on the parallelogram \(R\) of vertices \((0,0),(1,0),(2,1),\text{and}\ (1,1)\) shown in the following figure.
In the following exercises, use the transformation \(y-x=u,x+y=v\) to evaluate the integrals on the square \(R\) determined by the lines \(y=x,y=\text{-}x+2,y=x+2,\) and \(y=\text{-}x\) shown in the following figure.
Condensed: the full section is in OpenStax Calculus Volume 3.
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Suppose a transformation \(T\) is defined as \(T(r,\theta )=(x,y)\) where \(x=r\ \text{cos}\ \theta ,y=r\ \text{sin}\ \theta .\) Find the image of the polar rectangle G=\{(r,\theta )|0
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Since \(r\) varies from 0 to 1 in the \(r\theta \text{-plane},\) we have a circular disc of radius 0 to 1 in the \(xy\text{-plane}\text{.}\) Because \(\theta\) varies from 0 to \(\pi \text{/2}\) in the \(r\theta \text{-plane},\) we end up getting a quarter circle of radius \(1\) in the first quadrant of the \(xy\text{-plane}\) (). Hence \(R\) is a quarter circle bounded by \({x}^{2}+{y}^{2}=1\) in the first quadrant.
In order to show that \(T\) is a one-to-one transformation, assume \(T({r}_{1},{\theta }_{1})=T({r}_{2},{\theta }_{2})\) and show as a consequence that \(({r}_{1},{\theta }_{1})=({r}_{2},{\theta }_{2}).\) In this case, we have
\[\begin{array}{lll}T({r}_{1},{\theta }_{1}) & = & T({r}_{2},{\theta }_{2}), \\ ({x}_{1},{y}_{1}) & = & ({x}_{2},{y}_{2}), \\ ({r}_{1}\text{cos}\ {\theta }_{1},{r}_{1}\text{sin}\ {\theta }_{1}) & = & ({r}_{2}\text{cos}\ {\theta }_{2},{r}_{2}\text{sin}\ {\theta }_{2}), \\ {r}_{1}\text{cos}\ {\theta }_{1} & = & {r}_{2}\text{cos}\ {\theta }_{2} \\ {r}_{1}\text{sin}\ {\theta }_{1} & = & {r}_{2}\text{sin}\ {\theta }_{2}\end{array}\]Dividing, we obtain
\[\begin{array}{lll}\frac{{r}_{1}\text{cos}\ {\theta }_{1}}{{r}_{1}\text{sin}\ {\theta }_{1}} & = & \frac{{r}_{2}\text{cos}\ {\theta }_{2}}{{r}_{2}\text{sin}\ {\theta }_{2}} \\ \frac{\text{cos}\ {\theta }_{1}}{\text{sin}\ {\theta }_{1}} & = & \frac{\text{cos}\ {\theta }_{2}}{\text{sin}\ {\theta }_{2}} \\ \text{cot}\ {\theta }_{1} & = & \text{cot}\ {\theta }_{2} \\ {\theta }_{1} & = & {\theta }_{2}\end{array}\]since the cotangent function is one-one function in the interval \(0\le \theta \le \pi \text{/}2.\) Also, since 0
To find \({T}^{-1}(x,y)\) solve for \(r,\theta\) in terms of \(x,y.\) We already know that \({r}^{2}={x}^{2}+{y}^{2}\) and \(\text{tan}\ \theta =\frac{y}{x}.\) Thus \({T}^{-1}(x,y)=(r,\theta )\) is defined as \(r=\sqrt{{x}^{2}+{y}^{2}}\) and \(\theta ={\text{tan}}^{-1}(\frac{y}{x}).\)
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Let the transformation \(T\) be defined by \(T(u,v)=(x,y)\) where \(x={u}^{2}-{v}^{2}\) and \(y=uv.\) Find the image of the triangle in the \(uv\text{-plane}\) with vertices \((0,0),(0,1),\) and \((1,1).\)
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The triangle and its image are To understand how the sides of the triangle transform, call the side that joins \((0,0)\) and \((0,1)\) side \(A,\) the side that joins \((0,0)\) and \((1,1)\) side \(B,\) and the side that joins \((1,1)\) and \((0,1)\) side \(C.\)
For the side \(A\text{:}\ u=0,0\le v\le 1\) transforms to \(x=\text{-}{v}^{2},y=0\) so this is the side \(A'\) that joins \((-1,0)\) and \((0,0).\)
For the side \(B\text{:}\ u=v,0\le u\le 1\) transforms to \(x=0,y={u}^{2}\) so this is the side \({B}^{'}\) that joins \((0,0)\) and \((0,1).\)
For the side \(C\text{:}\ 0\le u\le 1,v=1\) transforms to \(x={u}^{2}-1,y=u\) (hence \(x={y}^{2}-1)\) so this is the side \({C}^{'}\) that makes the upper half of the parabolic arc joining \((-1,0)\) and \((0,1).\)
All the points in the entire region of the triangle in the \(uv\text{-plane}\) are mapped inside the parabolic region in the \(xy\text{-plane}\text{.}\)
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Let a transformation \(T\) be defined as \(T(u,v)=(x,y)\) where \(x=u+v,y=3v.\) Find the image of the rectangle \(G=\{(u,v)\text{:}\ 0\le u\le 1,0\le v\le 2\}\) from the \(uv\text{-plane}\) after the transformation into a region \(R\) in the \(xy\text{-plane}\text{.}\) Show that \(T\) is a one-to-one transformation and find \({T}^{-1}(x,y).\)
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\({T}^{-1}(x,y)=(u,v)\) where \(u=\frac{3x-y}{3}\) and \(v=\frac{y}{3}\)
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Find the Jacobian of the transformation
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The transformation in the example is \(T(r,\theta )=(r\ \text{cos}\ \theta ,r\ \text{sin}\ \theta )\) where \(x=r\ \text{cos}\ \theta\) and \(y=r\ \text{sin}\ \theta .\) Thus the Jacobian is
\[\begin{array}{llllllllll}J(r,\theta ) & =\frac{∂(x,y)}{∂(r,\theta )}=|\begin{array}{lll}\frac{∂x}{∂r} & & \frac{∂x}{∂\theta } \\ \frac{∂y}{∂r} & & \frac{∂y}{∂\theta }\end{array}|=|\begin{array}{lll}\text{cos}\ \theta & & -r\ \text{sin}\ \theta \\ \text{sin}\ \theta & & r\ \text{cos}\ \theta \end{array}| \\ & =r\ {\text{cos}}^{2}\theta +r\ {\text{sin}}^{2}\theta =r({\text{cos}}^{2}\theta +{\text{sin}}^{2}\theta )=r.\end{array}\] -
Find the Jacobian of the transformation
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The transformation in the example is \(T(u,v)=({u}^{2}-{v}^{2},uv)\) where \(x={u}^{2}-{v}^{2}\) and \(y=uv.\) Thus the Jacobian is
\[J(u,v)=\frac{∂(x,y)}{∂(u,v)}=|\begin{array}{lll}\frac{∂x}{∂u} & & \frac{∂x}{∂v} \\ \frac{∂y}{∂u} & & \frac{∂y}{∂v}\end{array}|=|\begin{array}{lll}2u & & v \\ -2v & & u\end{array}|=2{u}^{2}+2{v}^{2}.\] -
Find the Jacobian of the transformation: \(T(u,v)=(u+v,2v).\)
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\(J(u,v)=\frac{∂(x,y)}{∂(u,v)}=|\begin{array}{lll}\frac{∂x}{∂u} & & \frac{∂x}{∂v} \\ \frac{∂y}{∂u} & & \frac{∂y}{∂v}\end{array}|=|\begin{array}{lll}1 & & 1 \\ 0 & & 2\end{array}|=2\)
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Consider the integral
\[\int _{0}^{2}\ \int _{0}^{\sqrt{2x-{x}^{2}}}\sqrt{{x}^{2}+{y}^{2}}\ dy\ dx.\]Use the change of variables \(x=r\ \text{cos}\ \theta\) and \(y=r\ \text{sin}\ \theta ,\) and find the resulting integral.
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First we need to find the region of integration. This region is bounded below by \(y=0\) and above by \(y=\sqrt{2x-{x}^{2}}\) (see the following figure).
Squaring and collecting terms, we find that the region is the upper half of the circle \({x}^{2}+{y}^{2}-2x=0,\) that is, \({y}^{2}+{(x-1)}^{2}=1.\) In polar coordinates, the circle is \(r=2\ \text{cos}\ \theta\) so the region of integration in polar coordinates is bounded by \(0\le r\le 2\text{cos}\ \theta\) and \(0\le \theta \le \frac{\pi }{2}.\)
The Jacobian is \(J(r,\theta )=r,\) Since \(r\ge 0,\) we have \(|J(r,\theta )|=r.\)
The integrand \(\sqrt{{x}^{2}+{y}^{2}}\) changes to \(r\) in polar coordinates, so the double iterated integral is
\[\int _{0}^{2}\ \int _{0}^{\sqrt{2x-{x}^{2}}}\sqrt{{x}^{2}+{y}^{2}}dy\ dx=\int _{0}^{\pi \text{/}2}\ \int _{0}^{2\ \text{cos}\ \theta }r|J(r,\theta )|dr\ d\theta =\int _{0}^{\pi \text{/}2}\ \int _{0}^{2\ \text{cos}\ \theta }{r}^{2}dr\ d\theta .\] -
Considering the integral \(\int _{0}^{1}\ \int _{0}^{\sqrt{1-{x}^{2}}}({x}^{2}+{y}^{2})dy\ dx,\) use the change of variables \(x=r\ \text{cos}\ \theta\) and \(y=r\ \text{sin}\ \theta ,\) and find the resulting integral.
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\(\int _{0}^{\pi \text{/}2}\ \int _{0}^{1}{r}^{3}dr\ d\theta\)
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Consider the integral \(\underset{R}{∬}(x-y)dy\ dx,\) where \(R\) is the parallelogram joining the points \((1,2),\) \((3,4),(4,3),\) and \((6,5)\) (). Make appropriate changes of variables, and write the resulting integral.
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First, we need to understand the region over which we are to integrate. The sides of the parallelogram are \(x-y+1=0,x-y-1=0,\) \(x-3y+5=0,\text{and}\ x-3y+9=0\) (). Another way to look at them is \(x-y=-1,x-y=1,\) \(x-3y=-5,\) and \(x-3y=-9.\)
Clearly the parallelogram is bounded by the lines \(y=x+1,y=x-1,y=\frac{1}{3}(x+5),\) and \(y=\frac{1}{3}(x+9).\)
Notice that if we were to make \(u=x-y\) and \(v=x-3y,\) then the limits on the integral would be \(-1\le u\le 1\) and \(-9\le v\le -5.\)
To solve for \(x\) and \(y,\) we multiply the first equation by \(3\) and subtract the second equation, \(3u-v=(3x-3y)-(x-3y)=2x.\) Then we have \(x=\frac{3u-v}{2}.\) Moreover, if we simply subtract the second equation from the first, we get \(u-v=(x-y)-(x-3y)=2y\) and \(y=\frac{u-v}{2}.\)
Thus, we can choose the transformation
\[T(u,v)=(\frac{3u-v}{2},\frac{u-v}{2})\]and compute the Jacobian \(J(u,v).\) We have
\[J(u,v)=\frac{∂(x,y)}{∂(u,v)}=|\begin{array}{lll}\frac{∂x}{∂u} & & \frac{∂x}{∂v} \\ \frac{∂y}{∂u} & & \frac{∂y}{∂v}\end{array}|=|\begin{array}{lll}3\text{/}2 & & -1\text{/}2 \\ 1\text{/}2 & & -1\text{/}2\end{array}|=-\frac{3}{4}+\frac{1}{4}=-\frac{1}{2}.\]Therefore, \(|J(u,v)|=\frac{1}{2}.\) Also, the original integrand becomes
\[x-y=\frac{1}{2}[3u-v-u+v]=\frac{1}{2}[3u-u]=\frac{1}{2}[2u]=u.\]Therefore, by the use of the transformation \(T,\) the integral changes to
\[\underset{R}{∬}(x-y)dy\ dx=\int _{-9}^{-5}\ \int _{-1}^{1}J(u,v)u\ du\ dv=\int _{-9}^{-5}\ \int _{-1}^{1}(\frac{1}{2})u\ du\ dv,\]which is much simpler to compute. In fact, it is easily found to be zero. And this is just one example of why we transform integrals like this.
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Make appropriate changes of variables in the integral \(\underset{R}{∬}\frac{4}{{(x-y)}^{2}}dy\ dx,\) where \(R\) is the trapezoid bounded by the lines \(x-y=2,x-y=4,x=0,\text{and}\ y=0.\) Write the resulting integral.
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\(x=\frac{1}{2}(v+u)\) and \(y=\frac{1}{2}(v-u)\) and \(\int _{2}^{4}\ \int _{-u}^{u}\frac{4}{{u}^{2}}(\frac{1}{2})dv\ du.\)
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Using the change of variables \(u=x-y\) and \(v=x+y,\) evaluate the integral
\[\underset{R}{∬}(x-y){e}^{{x}^{2}-{y}^{2}}dA,\]where \(R\) is the region bounded by the lines \(x+y=1\) and \(x+y=3\) and the curves \({x}^{2}-{y}^{2}=-1\) and \({x}^{2}-{y}^{2}=1\) (see the first region in ).
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As before, first find the region \(R\) and picture the transformation so it becomes easier to obtain the limits of integration after the transformations are made ().
Given \(u=x-y\) and \(v=x+y,\) we have \(x=\frac{u+v}{2}\) and \(y=\frac{v-u}{2}\) and hence the transformation to use is \(T(u,v)=(\frac{u+v}{2},\frac{v-u}{2}).\) The lines \(x+y=1\) and \(x+y=3\) become \(v=1\) and \(v=3,\) respectively. The curves \({x}^{2}-{y}^{2}=1\) and \({x}^{2}-{y}^{2}=-1\) become \(uv=1\) and \(uv=-1,\) respectively.
Thus we can describe the region \(S\) (see the second region ) as
\[S=\{(u,v)|1\le v\le 3,\frac{-1}{v}\le u\le \frac{1}{v}\}.\]The Jacobian for this transformation is
\[J(u,v)=\frac{∂(x,y)}{∂(u,v)}=|\begin{array}{lll}\frac{∂x}{∂u} & & \frac{∂x}{∂v} \\ \frac{∂y}{∂u} & & \frac{∂y}{∂v}\end{array}|=|\begin{array}{lll}1\text{/}2 & & -1\text{/}2 \\ 1\text{/}2 & & 1\text{/}2\end{array}|=\frac{1}{2}.\]Therefore, by using the transformation \(T,\) the integral changes to
\[\underset{R}{∬}(x-y){e}^{{x}^{2}-{y}^{2}}dA=\frac{1}{2}\int _{1}^{3}\ \int _{-1\text{/}v}^{1\text{/}v}u{e}^{uv}du\ dv.\]Doing the evaluation, we have
\[\frac{1}{2}\int _{1}^{3}\ \int _{-1\text{/}v}^{1\text{/}v}u{e}^{uv}du\ dv=\frac{2}{3e}\approx 0.245.\] -
Using the substitutions \(x=v\) and \(y=\sqrt{u+v},\) evaluate the integral \(\underset{R}{∬}y\ \text{sin}({y}^{2}-x)dA\) where \(R\) is the region bounded by the lines \(y=\sqrt{x},x=2,\text{and}\ y=0.\)
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\(\frac{1}{2}(\text{sin}\ 2-2)\)
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Derive the formula in triple integrals for
- cylindrical and
- spherical coordinates.
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- For cylindrical coordinates, the transformation is \(T(r,\theta ,z)=(x,y,z)\) from the Cartesian \(r\theta z\text{-plane}\) to the Cartesian \(xyz\text{-plane}\) (). Here \(x=r\ \text{cos}\ \theta ,\) \(y=r\ \text{sin}\ \theta ,\) and \(z=z.\) The Jacobian for the transformation is
\[\begin{array}{llllllllllllll}J(r,\theta ,z) & =\frac{∂(x,y,z)}{∂(r,\theta ,z)}=|\begin{array}{lllll}\frac{∂x}{∂r} & & \frac{∂x}{∂\theta } & & \frac{∂x}{∂z} \\ \frac{∂y}{∂r} & & \frac{∂y}{∂\theta } & & \frac{∂y}{∂z} \\ \frac{∂z}{∂r} & & \frac{∂z}{∂\theta } & & \frac{∂z}{∂z}\end{array}| \\ & =|\begin{array}{lllll}\text{cos}\ \theta & & -r\ \text{sin}\ \theta & & 0 \\ \text{sin}\ \theta & & r\ \text{cos}\ \theta & & 0 \\ 0 & & 0 & & 1\end{array}|=r\ {\text{cos}}^{2}\theta +r\ {\text{sin}}^{2}\theta =r({\text{cos}}^{2}\theta +{\text{sin}}^{2}\theta )=r.\end{array}\]
We know that \(r\ge 0,\) so \(|J(r,\theta ,z)|=r.\) Then the triple integral is
\[\underset{D}{∭}f(x,y,z)dV=\underset{G}{∭}f(r\ \text{cos}\ \theta ,r\ \text{sin}\ \theta ,z)r\ dr\ d\theta \ dz.\] - For spherical coordinates, the transformation is \(T(\rho ,\theta ,\phi )=(x,y,z)\) from the Cartesian \(p\theta \phi \text{-plane}\) to the Cartesian \(xyz\text{-plane}\) (). Here \(x=\rho \ \text{sin}\ \phi \ \text{cos}\ \theta ,\) \(y=\rho \ \text{sin}\ \phi \ \text{sin}\ \theta ,\) and \(z=\rho \ \text{cos}\ \phi .\) The Jacobian for the transformation is
\[J(\rho ,\theta ,\phi )=\frac{∂(x,y,z)}{∂(\rho ,\theta ,\phi )}=|\begin{array}{lllll}\frac{∂x}{∂\rho } & & \frac{∂x}{∂\theta } & & \frac{∂x}{∂\phi } \\ \frac{∂y}{∂\rho } & & \frac{∂y}{∂\theta } & & \frac{∂y}{∂\phi } \\ \frac{∂z}{∂\rho } & & \frac{∂z}{∂\theta } & & \frac{∂z}{∂\phi }\end{array}|=|\begin{array}{lllll}\text{sin}\ \phi \ \text{cos}\ \theta & & \rho \ \text{sin}\ \phi \ \text{sin}\ \theta & & \rho \ \text{cos}\ \phi \ \text{cos}\ \theta \\ \text{sin}\ \phi \ \text{sin}\ \theta & & \rho \ \text{sin}\ \phi \ \text{cos}\ \theta & & \rho \ \text{cos}\ \phi \ \text{sin}\ \theta \\ \text{cos}\ ϕ & & 0 & & -\rho \ \text{sin}\ \phi \end{array}|.\]
Expanding the determinant with respect to the third row:
\[\begin{array}{lllllllll} \\ \\ =\text{cos}\ \phi |\begin{array}{lll}-\rho \ \text{sin}\ \phi \ \text{sin}\ \theta & & \rho \ \text{cos}\ \phi \ \text{cos}\ \theta \\ \rho \ \text{sin}\ \phi \ \text{sin}\ \theta & & \rho \ \text{cos}\ \phi \ \text{sin}\ \theta \end{array}|-\rho \ \text{sin}\ \phi |\begin{array}{lll}\text{sin}\ \phi \ \text{cos}\ \theta & & -\rho \ \text{sin}\ \phi \ \text{sin}\ \theta \\ \text{sin}\ \phi \ \text{sin}\ \theta & & \rho \ \text{sin}\ \phi \ \text{cos}\ \theta \end{array}| \\ =\text{cos}\ \phi (\text{-}{\rho }^{2}\text{sin}\ \phi \ \text{cos}\ \phi \ {\text{sin}}^{2}\theta -{\rho }^{2}\text{sin}\ \phi \ \text{cos}\ \phi \ {\text{cos}}^{2}\theta ) \\ -\rho \ \text{sin}\ \phi (\rho \ {\text{sin}}^{2}\phi \ {\text{cos}}^{2}\theta +\rho \ {\text{sin}}^{2}\phi \ {\text{sin}}^{2}\theta ) \\ =\text{-}{\rho }^{2}\text{sin}\ \phi \ {\text{cos}}^{2}\phi ({\text{sin}}^{2}\theta +{\text{cos}}^{2}\theta )-{\rho }^{2}\text{sin}\ \phi \ {\text{sin}}^{2}\phi ({\text{sin}}^{2}\theta +{\text{cos}}^{2}\theta ) \\ =\text{-}{\rho }^{2}\text{sin}\ \phi \ {\text{cos}}^{2}\phi -{\rho }^{2}\text{sin}\ \phi \ {\text{sin}}^{2}\phi \\ =\text{-}{\rho }^{2}\text{sin}\ \phi ({\text{cos}}^{2}\phi +{\text{sin}}^{2}\phi )=\text{-}{\rho }^{2}\text{sin}\ \phi .\end{array}\]
Since \(0\le \phi \le \pi ,\) we must have \(\text{sin}\ \phi \ge 0.\) Thus \(|J(\rho ,\theta ,\phi )|=|\text{-}{\rho }^{2}\text{sin}\ \phi |={\rho }^{2}\text{sin}\ \phi .\)
Then the triple integral becomes
\[\underset{D}{∭}f(x,y,z)dV=\underset{G}{∭}f(\rho \ \text{sin}\ \phi \ \text{cos}\ \theta ,\rho \ \text{sin}\ \phi \ \text{sin}\ \theta ,\rho \ \text{cos}\ \phi ){\rho }^{2}\text{sin}\ \phi \ d\rho \ d\phi \ d\theta .\]
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Evaluate the triple integral
\[\int _{0}^{3}\ \int _{0}^{4}\ \int _{y\text{/}2}^{(y\text{/}2)+1}(x+\frac{z}{3})dx\ dy\ dz\]in \(xyz\text{-space}\) by using the transformation
\[u=(2x-y)\text{/}2,v=y\text{/}2,\text{and}\ w=z\text{/}3.\]Then integrate over an appropriate region in \(uvw\text{-space}\text{.}\)
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As before, some kind of sketch of the region \(G\) in \(xyz\text{-space}\) over which we have to perform the integration can help identify the region \(D\) in \(uvw\text{-space}\) (). Clearly \(G\) in \(xyz\text{-space}\) is bounded by the planes \(x=y\text{/}2,x=(y\text{/}2)+1,y=0,\) \(y=4,\) \(z=0,\text{and}\ z=4.\) We also know that we have to use \(u=(2x-y)\text{/}2,v=y\text{/}2,\text{and}\ w=z\text{/}3\) for the transformations. We need to solve for \(x,y,\text{and}\ z.\) Here we find that \(x=u+v,\) \(y=2v,\) and \(z=3w.\)
Using elementary algebra, we can find the corresponding surfaces for the region \(G\) and the limits of integration in \(uvw\text{-space}\text{.}\) It is convenient to list these equations in a table.
Equations in \(xyz\) for the region \(D\) Corresponding equations in \(uvw\) for the region \(G\) Limits for the integration in \(uvw\) \(x=y\text{/}2\) \(u+v=2v\text{/}2=v\) \(u=0\) \(x=y\text{/}2\) \(u+v=(2v\text{/}2)+1=v+1\) \(u=1\) \(y=0\) \(2v=0\) \(v=0\) \(y=4\) \(2v=4\) \(v=2\) \(z=0\) \(3w=0\) \(w=0\) \(z=3\) \(3w=3\) \(w=1\) Now we can calculate the Jacobian for the transformation:
\[J(u,v,w)=|\begin{array}{lllll}\frac{∂x}{∂u} & & \frac{∂x}{∂v} & & \frac{∂x}{∂w} \\ \frac{∂y}{∂u} & & \frac{∂y}{∂v} & & \frac{∂y}{∂w} \\ \frac{∂z}{∂u} & & \frac{∂z}{∂v} & & \frac{∂z}{∂w}\end{array}|=|\begin{array}{lllll}1 & & 1 & & 0 \\ 0 & & 2 & & 0 \\ 0 & & 0 & & 3\end{array}|=6.\]The function to be integrated becomes
\[f(x,y,z)=x+\frac{z}{3}=u+v+\frac{3w}{3}=u+v+w.\]We are now ready to put everything together and complete the problem.
\[\begin{array}{l} \\ \\ \\ \\ \int _{0}^{3}\ \int _{0}^{4}\ \int _{y\text{/}2}^{(y\text{/}2)+1}(x+\frac{z}{3})dx\ dy\ dz \\ \\ =\int _{0}^{1}\ \int _{0}^{2}\ \int _{0}^{1}(u+v+w)|J(u,v,w)|du\ dv\ dw=\int _{0}^{1}\ \int _{0}^{2}\ \int _{0}^{1}(u+v+w)|6|du\ dv\ dw \\ =6\int _{0}^{1}\ \int _{0}^{2}\ \int _{0}^{1}(u+v+w)du\ dv\ dw=6{\int _{0}^{1}\ \int _{0}^{2}[\frac{{u}^{2}}{2}+vu+wu]}_{0}^{1}dv\ dw \\ =6\int _{0}^{1}\ \int _{0}^{2}(\frac{1}{2}+v+w)dv\ dw=6{\int _{0}^{1}[\frac{1}{2}v+\frac{{v}^{2}}{2}+wv]}_{0}^{2}dw \\ =6\int _{0}^{1}(3+2w)dw=6{[3w+{w}^{2}]}_{0}^{1}=24.\end{array}\] -
Let \(D\) be the region in \(xyz\text{-space}\) defined by \(1\le x\le 2,0\le xy\le 2,\text{and}\ 0\le z\le 1.\)
Evaluate \(\underset{D}{∭}({x}^{2}y+3xyz)dx\ dy\ dz\) by using the transformation \(u=x,v=xy,\) and \(w=3z.\)
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\(\int _{0}^{3}\ \int _{0}^{2}\ \int _{1}^{2}(\frac{v}{3}+\frac{vw}{3u})du\ dv\ dw=2+\text{ln}\ 8\)
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\(x=2u,y=3v\)
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\(x=\frac{u}{2},y=\frac{v}{3}\)
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a. \(T(u,v)=(g(u,v),h(u,v)),x=g(u,v)=\frac{u}{2}\) and \(y=h(u,v)=\frac{v}{3}.\) The functions \(g\) and \(h\) are continuous and differentiable, and the partial derivatives \({g}_{u}(u,v)=\frac{1}{2},\) \({g}_{v}(u,v)=0,{h}_{u}(u,v)=0\ \text{and}\ {h}_{v}(u,v)=\frac{1}{3}\) are continuous on \(S;\) b. \(T(0,0)=(0,0),\) \(T(1,0)=(\frac{1}{2},0),T(0,1)=(0,\frac{1}{3}),\) and \(T(1,1)=(\frac{1}{2},\frac{1}{3});\) c. \(R\) is the rectangle of vertices \((0,0),(\frac{1}{2},0),(\frac{1}{2},\frac{1}{3}),\text{and}\ (0,\frac{1}{3})\) in the \(xy\text{-plane;}\) the following figure.
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\(x=u-v,y=u+v\)
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\(x=2u-v,y=u+2v\)
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a. \(T(u,v)=(g(u,v),h(u,v)),x=g(u,v)=2u-v,\) and \(y=h(u,v)=u+2v.\) The functions \(g\) and \(h\) are continuous and differentiable, and the partial derivatives \({g}_{u}(u,v)=2,\) \({g}_{v}(u,v)=-1,\) \({h}_{u}(u,v)=1,\) and \({h}_{v}(u,v)=2\) are continuous on \(S;\) b. \(T(0,0)=(0,0),\) \(T(1,0)=(2,1),\) \(T(0,1)=(-1,2),\) and \(T(1,1)=(1,3);\) c. \(R\) is the sqaure of vertices \((0,0),(2,1),(1,3),\text{and}\ (-1,2)\) in the \(xy\text{-plane;}\) see the following figure.
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\(x={u}^{2},y={v}^{2}\)
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\(x={u}^{3},y={v}^{3}\)
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a. \(T(u,v)=(g(u,v),h(u,v)),x=g(u,v)={u}^{3},\) and \(y=h(u,v)={v}^{3}.\) The functions \(g\) and \(h\) are continuous and differentiable, and the partial derivatives \({g}_{u}(u,v)=3{u}^{2},\) \({g}_{v}(u,v)=0,\) \({h}_{u}(u,v)=0,\) and \({h}_{v}(u,v)=3{v}^{2}\) are continuous on \(S;\) b. \(T(0,0)=(0,0),\) \(T(1,0)=(1,0),\) \(T(0,1)=(0,1),\) and \(T(1,1)=(1,1);\) c. \(R\) is the unit square in the \(xy\text{-plane;}\) see the following figure.
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\(x={u}^{2},y={v}^{2},\text{where}\ S\) is the rectangle of vertices \((-1,0),(1,0),(1,1),\text{and}\ (-1,1).\)
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\(x={u}^{4},y={u}^{2}+v,\text{where}\ S\) is the triangle of vertices \((-2,0),(2,0),\text{and}\ (0,2).\)
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\(T\) is not one-to-one: two points of \(S\) have the same image. Indeed, \(T(-2,0)=T(2,0)=(16,4).\)
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\(x=2u,y=3v,\text{where}\ S\) is the square of vertices \((-1,1),(-1,-1),(1,-1),\text{and}\ (1,1).\)
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\(T(u,v)=(2u-v,u),\) where \(S\) is the triangle of vertices \((-1,1),(-1,-1),\text{and}\ (1,-1).\)
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\(T\) is one-to-one: We argue by contradiction. \(T({u}_{1},{v}_{1})=T({u}_{2},{v}_{2})\) implies \(2{u}_{1}-{v}_{1}=2{u}_{2}-{v}_{2}\) and \({u}_{1}={u}_{2}.\) Thus, \({u}_{1}={u}_{2}\) and \({v}_{1}={v}_{2}.\)
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\(x=u+v+w,y=u+v,z=w,\) where \(S=R={ℝ}^{3}.\)
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\(x={u}^{2}+v+w,y={u}^{2}+v,z=w,\) where \(S=R={ℝ}^{3}.\)
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\(T\) is not one-to-one: \(T(1,v,w)=(-1,v,w)\)
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\(x=4u,y=5v,\) where \(S=R={ℝ}^{2}.\)
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\(x=u+2v,y=\text{-}u+v,\) where \(S=R={ℝ}^{2}.\)
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\(u=\frac{x-2y}{3},v=\frac{x+y}{3}\)
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\(x={e}^{2u+v},y={e}^{u-v},\) where \(S={ℝ}^{2}\) and \(R=\{(x,y)|x>0,y>0\}\)
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\(x=\text{ln}\ u,y=\text{ln}(uv),\) where \(S=\{(u,v)|u>0,v>0\}\) and \(R={ℝ}^{2}.\)
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\(u={e}^{x},v={e}^{\text{-}x+y}\)
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\(x=u+v+w,y=3v,z=2w,\) where \(S=R={ℝ}^{3}.\)
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\(x=u+v,y=v+w,z=u+w,\) where \(S=R={ℝ}^{3}.\)
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\(u=\frac{x-y+z}{2},v=\frac{x+y-z}{2},w=\frac{\text{-}x+y+z}{2}\)
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\(x=au,y=bv,R=\{(x,y)|{x}^{2}+{y}^{2}\le {a}^{2}{b}^{2}\},\) where \(a,b>0\)
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\(x=au,y=bv,R=\{(x,y)|\frac{{x}^{2}}{{a}^{2}}+\frac{{y}^{2}}{{b}^{2}}\le 1\},\) where \(a,b>0\)
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\(S=\{(u,v)|{u}^{2}+{v}^{2}\le 1\}\)
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\(x=\frac{u}{a},y=\frac{v}{b},z=\frac{w}{c},\) \(R=\{(x,y)|{x}^{2}+{y}^{2}+{z}^{2}\le 1\},\) where \(a,b,c>0\)
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\(x=au,y=bv,z=cw,R=\{(x,y)|\frac{{x}^{2}}{{a}^{2}}-\frac{{y}^{2}}{{b}^{2}}-\frac{{z}^{2}}{{c}^{2}}\le 1,z>0\},\) where \(a,b,c>0\)
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\(R=\{(u,v,w)|{u}^{2}-{v}^{2}-{w}^{2}\le 1,w>0\}\)
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\(x=u+2v,y=\text{-}u+v\)
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\(x=\frac{{u}^{3}}{2},y=\frac{v}{{u}^{2}}\)
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\(\frac{3}{2}\)
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\(x={e}^{2u-v},y={e}^{u+v}\)
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Daftar MasukSimbol yang digunakan di sini
Sentuh simbol apapun untuk definisi lengkap, gambar, dan apa setiap huruf di dalamnya berarti.
Bagaimana: Change of Variables in Multiple Integrals
- Determine the image of a region under a given transformation of variables.
- Compute the Jacobian of a given transformation.
- Evaluate a double integral using a change of variables.
- Evaluate a triple integral using a change of variables.
- Sketch the region given by the problem in the
- Depending on the region or the integrand, choose the transformations
- Determine the new limits of integration in the
- Find the Jacobian
Pertanyaan yang sering diajukan
What is a partial derivative?
The ordinary derivative with respect to one variable while every other variable is frozen: the slope of the surface in one coordinate direction.
What does the gradient point at?
Uphill: the direction of steepest increase, with length equal to that steepest slope. It is perpendicular to the level curves.
Bagian dari halaman ini diadaptasi dari OpenStax Calculus Volume 3 (CC BY-NC-SA 4.0). Diringkas dan dijelaskan ulang di sini; kesalahan adalah tanggung jawab kami. Karena sumbernya dilisensikan untuk penggunaan non-komersial, pelajaran ini gratis, menjual apa-apa, dan dibagi di bawah lisensi yang sama.
Lainnya di Multivariable Calculus
Functions of several variablesPartial derivatives and the gradientOptimisation in several variablesDouble and triple integralsVector fields, line integrals and the big theorems