Vector fields in cylindrical and spherical coordinates
Encyclopedia : V : VE : VEC : Vector fields in cylindrical and spherical coordinates
- 1 Vector fields in cylindrical coordinates
- 2 Time derivative of a vector field in cylindrical coordinates
- 3 Gradient, divergence, curl, and laplacian in cylindrical coordinates
- 4 Vector fields in spherical coordinates
- 5 Time derivative of a vector field in spherical coordinates
- 6 Gradient, divergence, curl, and laplacian in spherical coordinates
Vector fields in cylindrical coordinates
Vectors are defined in cylindrical coordinates by (ρ,φ,z), where
- ρ is the length of the vector projected onto the X-Y-plane,
- φ is the angle of the projected vector with the positive X-axis (0 ≤ φ < 2π),
- z is the regular z-coordinate.
- [\left[\begin \rho & = & \sqrt \\ \phi & = & \operatorname(y / x), & 0 \le \phi < 2\pi \\ z & = & z \end\right.]
- [\left[\begin x & = & \rho\cos\phi \\ y & = & \rho\sin\phi \\ z & = & z \end\right.]
- [\mathbf A = A_x \mathbf + A_y \mathbf + A_z \mathbf = A_\rho \boldsymbol + A_\phi \boldsymbol + A_z \boldsymbol]
- [\begin\boldsymbol \\ \boldsymbol \\ \boldsymbol\end = \begin \cos\phi & \sin\phi & 0 \\ -\sin\phi & \cos\phi & 0 \\ 0 & 0 & 1 \end \begin \mathbf \\ \mathbf \\ \mathbf \end]
- Note: the matrix is an orthogonal matrix, that is, its inverse is simply its transpose.
Time derivative of a vector field in cylindrical coordinates
To find out how the vector field A changes in time we calculate the time derivatives. In cartesian coordinates this is simply:
- [\mathbf = \dot A_x \mathbf + \dot A_y \mathbf + \dot A_z \mathbf]
- [\mathbf = \dot A_\rho \boldsymbol + A_\rho \boldsymbol} + \dot A_\phi \boldsymbol + A_\phi \boldsymbol} + \dot A_z \boldsymbol + A_z \boldsymbol}]
- [\left[\begin \boldsymbol} & = & \dot\phi \boldsymbol \\ \boldsymbol} & = & - \dot\phi \boldsymbol \\ \boldsymbol} & = & 0 \end\right.]
- [\mathbf = \boldsymbol (\dot A_\rho - A_\phi \dot\phi) + \boldsymbol (\dot A_\phi + A_\rho \dot\phi) + \boldsymbol \dot A_z]
Gradient, divergence, curl, and laplacian in cylindrical coordinates
The specification of gradient, divergence, curl, and laplacian in cylindrical coordinates can be found in the article Nabla in cylindrical and spherical coordinates.
Vector fields in spherical coordinates
Vectors are defined in spherical coordinates by (r,θ,φ), where
- r is the length of the vector,
- θ is the angle with the positive Z-axis (0 <= θ <= π),
- φ is the angle with the X-Z-plane (0 <= φ < 2π).
- [\left[\begin r & = & \sqrt \\ \theta & = & \arccos\left( z / r\right), & 0 \le \theta \le \pi \\ \phi & = & \operatorname(y / x), & 0 \le \phi < 2\pi \end\right.]
- [\left[\begin x & = & r\sin\theta\cos\phi \\ y & = & r\sin\theta\sin\phi \\ z & = & r\cos\theta \end\right.]
- [\mathbf A = A_x\mathbf + A_y\mathbf + A_z\mathbf = A_r\boldsymbol + A_\theta\boldsymbol + A_\phi\boldsymbol]
- [\begin\boldsymbol \\ \boldsymbol \\ \boldsymbol \end = \begin \sin\theta\cos\phi & \sin\theta\sin\phi & \cos\theta \\ \cos\theta\cos\phi & \cos\theta\sin\phi & -\sin\theta \\ -\sin\phi & \cos\phi & 0 \end \begin \mathbf \\ \mathbf \\ \mathbf \end]
- Note: the matrix is an orthogonal matrix, that is, its inverse is simply its transpose.
Time derivative of a vector field in spherical coordinates
To find out how the vector field A changes in time we calculate the time derivatives. In cartesian coordinates this is simply:
- [\mathbf = \dot A_x \mathbf + \dot A_y \mathbf + \dot A_z \mathbf]
- [\mathbf = \dot A_r \boldsymbol + A_r \boldsymbol} + \dot A_\theta \boldsymbol + A_\theta \boldsymbol} + \dot A_\phi \boldsymbol + A_\phi \boldsymbol}]
- [\begin\boldsymbol} \\ \boldsymbol} \\ \boldsymbol} \end = \begin 0 & \dot\theta & \dot\phi \sin\theta \\ -\dot\theta & 0 & \dot\phi \cos\theta \\ -\dot\phi \sin\theta & -\dot\phi \cos\theta & 0 \end \begin \boldsymbol \\ \boldsymbol \\ \boldsymbol \end]
- [\mathbf = \boldsymbol (\dot A_r - A_\theta \dot\theta - A_\phi \dot\phi \sin\theta) + \boldsymbol (\dot A_\theta + A_r \dot\theta - A_\phi \dot\phi \cos\theta) + \boldsymbol (\dot A_\phi + A_r \dot\phi \sin\theta + A_\phi \dot\phi \cos\theta)]
Gradient, divergence, curl, and laplacian in spherical coordinates
The specification of gradient, divergence, curl, and laplacian in spherical coordinates can be found in the article Nabla in cylindrical and spherical coordinates.
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