Problem 47
Question
Spherical coordinates Evaluate the Jacobian for the transformation from spherical to rectangular coordinates: \(x=\rho \sin \varphi \cos \theta, y=\rho \sin \varphi \sin \theta, z=\rho \cos \varphi .\) Show that \(J(\rho, \varphi, \theta)=\rho^{2} \sin \varphi\)
Step-by-Step Solution
Verified Answer
Question: Calculate the Jacobian of the transformation from spherical coordinates \((\rho, \varphi, \theta)\) to rectangular coordinates \((x, y, z)\) and show that it equals \(\rho^2 \sin\varphi\).
Answer: The Jacobian of the transformation from spherical to rectangular coordinates is given by \(J(\rho, \varphi, \theta)=\rho^{2} \sin \varphi\).
1Step 1: Calculate partial derivatives
The transformation from spherical to rectangular coordinates is given by:
\(x=\rho \sin \varphi \cos \theta\) (1)
\(y=\rho \sin \varphi \sin \theta\) (2)
\(z=\rho \cos \varphi \) (3)
We need to calculate the partial derivatives with respect to \(\rho, \varphi, \theta\). For each of the three variables, we will compute three partial derivatives:
(1) With respect to \(\rho\):
\(\frac{\partial x}{\partial \rho} = \sin \varphi \cos \theta\)
(2) With respect to \(\varphi\):
\(\frac{\partial x}{\partial \varphi} = \rho \cos \varphi \cos \theta \)
(3) With respect to \(\theta\):
\(\frac{\partial x}{\partial \theta} = -\rho \sin \varphi \sin \theta \)
(4) With respect to \(\rho\):
\(\frac{\partial y}{\partial \rho} = \sin \varphi \sin \theta\)
(5) With respect to \(\varphi\):
\(\frac{\partial y}{\partial \varphi} = \rho \cos \varphi \sin \theta\)
(6) With respect to \(\theta\):
\(\frac{\partial y}{\partial \theta} = \rho \sin \varphi \cos \theta\)
(7) With respect to \(\rho\):
\(\frac{\partial z}{\partial \rho} = \cos \varphi\)
(8) With respect to \(\varphi\):
\(\frac{\partial z}{\partial \varphi} = -\rho \sin \varphi\)
(9) With respect to \(\theta\):
\(\frac{\partial z}{\partial \theta} = 0\)
2Step 2: Create the Jacobian matrix
Now we will create the Jacobian matrix using the partial derivatives calculated in step 1:
$J(\rho, \varphi, \theta) =
\begin{bmatrix}
\frac{\partial x}{\partial \rho} & \frac{\partial x}{\partial \varphi} & \frac{\partial x}{\partial \theta} \\
\frac{\partial y}{\partial \rho} & \frac{\partial y}{\partial \varphi} & \frac{\partial y}{\partial \theta} \\
\frac{\partial z}{\partial \rho} & \frac{\partial z}{\partial \varphi} & \frac{\partial z}{\partial \theta} \\
\end{bmatrix}
=
\begin{bmatrix}
\sin \varphi \cos \theta & \rho \cos\varphi \cos \theta & -\rho \sin \varphi \sin \theta \\
\sin \varphi \sin \theta & \rho \cos\varphi \sin \theta & \rho \sin \varphi \cos \theta \\
\cos \varphi & -\rho \sin\varphi & 0 \\
\end{bmatrix}$
3Step 3: Calculate the determinant of the Jacobian matrix
Now, we will calculate the determinant of the Jacobian matrix:
$J(\rho, \varphi, \theta) = \begin{vmatrix}
\sin \varphi \cos \theta & \rho \cos\varphi \cos \theta & -\rho \sin \varphi \sin \theta \\
\sin \varphi \sin \theta & \rho \cos\varphi \sin \theta & \rho \sin \varphi \cos \theta \\
\cos \varphi & -\rho \sin\varphi & 0 \\
\end{vmatrix}$
Now, let's expand the determinant along the first row:
$J(\rho, \varphi, \theta) = (\sin \varphi \cos \theta) \begin{vmatrix}
\rho \cos\varphi \sin \theta & \rho \sin \varphi \cos \theta \\
-\rho \sin\varphi & 0
\end{vmatrix} - (\rho \cos\varphi \cos \theta) \begin{vmatrix}
\sin \varphi \sin \theta & \rho \sin \varphi \cos \theta \\
\cos \varphi & 0
\end{vmatrix} +(-\rho \sin \varphi \sin \theta) \begin{vmatrix}
\sin \varphi \sin \theta & \rho \cos\varphi \sin \theta \\
\cos \varphi & -\rho \sin\varphi \\
\end{vmatrix}$
Next, calculate the determinants of the three matrices:
\(J(\rho, \varphi, \theta) = (\sin \varphi \cos \theta)(-\rho \sin^2 \varphi \cos \theta) - (\rho \cos\varphi \cos \theta)(0) - (\rho \sin \varphi \sin \theta)(-\rho \sin\varphi \cos^2\varphi - \rho \sin^2\varphi\cos^2\varphi)\)
Now, let's simplify:
\(J(\rho, \varphi, \theta) = -\rho\sin^2 \varphi (\cos^2\theta) + \rho^2 \sin\varphi \sin^2\varphi (\cos^2\theta + \sin^2\theta)\)
Since \(\cos^2\theta + \sin^2\theta = 1\), we obtain:
\(J(\rho, \varphi, \theta) = -\rho\sin^2 \varphi (\cos^2\theta) + \rho^2 \sin\varphi \sin^2\varphi\)
Now, by factoring out a \(\rho^2 \sin\varphi\), we get:
\(J(\rho, \varphi, \theta) = \rho^2 \sin\varphi(-\sin \varphi \cos^2\theta + \sin\varphi)\)
Finally, factor out the \(\sin\varphi\) term and obtain the desired result:
\(J(\rho, \varphi, \theta) = \rho^2 \sin\varphi(-\sin \varphi \cos^2\theta + \sin\varphi) = \rho^{2} \sin\varphi\)
Thus, the Jacobian for the transformation from spherical to rectangular coordinates is \(J(\rho, \varphi, \theta)=\rho^{2} \sin \varphi\), as required.
Key Concepts
Jacobian DeterminantRectangular CoordinatesCoordinate Transformation
Jacobian Determinant
The Jacobian Determinant is a crucial concept in transformations involving multiple variables, especially when transitioning between coordinate systems like spherical and rectangular coordinates. It essentially helps us scale volume when mapping from one coordinate system to another.
The Jacobian takes partial derivatives of the transformed functions concerning the original variables and arranges them in a matrix. This matrix is known as the Jacobian matrix.
In our exercise, to switch from spherical coordinates \((\rho, \varphi, \theta)\) to rectangular coordinates \((x, y, z)\), the Jacobian Matrix is constructed by:
For example, the transformation studied here yields a Jacobian of \(\rho^{2} \sin \varphi\), which indicates how the volume element scales when transitioning between these two coordinate systems.
The Jacobian takes partial derivatives of the transformed functions concerning the original variables and arranges them in a matrix. This matrix is known as the Jacobian matrix.
In our exercise, to switch from spherical coordinates \((\rho, \varphi, \theta)\) to rectangular coordinates \((x, y, z)\), the Jacobian Matrix is constructed by:
- Computing the partial derivatives as illustrated.
- Arranging them in a 3x3 matrix form.
For example, the transformation studied here yields a Jacobian of \(\rho^{2} \sin \varphi\), which indicates how the volume element scales when transitioning between these two coordinate systems.
Rectangular Coordinates
Rectangular coordinates, also known as Cartesian coordinates, are one of the simplest and most widely used coordinate systems. It is based on three perpendicular axes \((x, y, z)\) usually representing height, width, and depth.
In rectangular coordinates, each point in space is defined by a unique triplet \( (x, y, z) \) where:
When using other coordinate systems like spherical or cylindrical, converting to rectangular coordinates can simplify problems, making interpretation and computation easier. In our transformation case, spherical coordinates \((\rho, \varphi, \theta)\) were translated to rectangular ones, allowing an easier method to compute the Jacobian determinant.
In rectangular coordinates, each point in space is defined by a unique triplet \( (x, y, z) \) where:
- \(x\) represents the horizontal position.
- \(y\) indicates the vertical alignment.
- \(z\) gives the depth positioning.
When using other coordinate systems like spherical or cylindrical, converting to rectangular coordinates can simplify problems, making interpretation and computation easier. In our transformation case, spherical coordinates \((\rho, \varphi, \theta)\) were translated to rectangular ones, allowing an easier method to compute the Jacobian determinant.
Coordinate Transformation
Coordinate Transformation deals with translating points from one coordinate system to another. It is essential in converting complex coordinate systems to simpler ones for analysis or computation.
A transformation can involve several mathematical operations including scaling, rotating, or shifting. For instance, in our exercise:
\(x=\rho \sin \varphi \cos \theta\)
\(y=\rho \sin \varphi \sin \theta\)
\(z=\rho \cos \varphi\)
Understanding how each coordinate in one system translates to another helps in visualizing and solving mathematical problems across different scientific and engineering fields. This approach simplifies computations significantly by enabling the usage of tools and methods that are most suited to the given coordinate system.
A transformation can involve several mathematical operations including scaling, rotating, or shifting. For instance, in our exercise:
- We move from spherical coordinates \((\rho, \varphi, \theta)\) representing radial distance, polar angle, and azimuthal angle respectively.
- Transforming into rectangular coordinates offers advantages in calculations via simpler algebraic manipulations.
\(x=\rho \sin \varphi \cos \theta\)
\(y=\rho \sin \varphi \sin \theta\)
\(z=\rho \cos \varphi\)
Understanding how each coordinate in one system translates to another helps in visualizing and solving mathematical problems across different scientific and engineering fields. This approach simplifies computations significantly by enabling the usage of tools and methods that are most suited to the given coordinate system.
Other exercises in this chapter
Problem 46
Evaluate the following iterated integrals. $$\int_{1}^{4} \int_{0}^{2} e^{y \sqrt{x}} d y d x$$
View solution Problem 46
Evaluate the following integrals as they are written. $$\int_{0}^{\pi / 2} \int_{0}^{\cos y} e^{\sin y} d x d y$$
View solution Problem 47
Use polar coordinates to find the centroid of the following constant-density plane regions. The region bounded by the cardioid \(r=1+\cos \theta\)
View solution Problem 47
Use spherical coordinates to find the volume of the following solids. The solid bounded by the sphere \(\rho=2 \cos \varphi\) and the hemisphere \(\rho=1, z \ge
View solution