math lessons - Vector fields in cylindrical and spherical coordinates

Contents

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.

(ρ,φ,z) is given in cartesian coordinates by:

$\left[\begin{matrix} \rho & = & \sqrt{x^2 + y^2} \\ \phi & = & \operatorname{atan2}(y, x) \\ z & = & z \end{matrix}\right.$

or inversely by:

$\left[\begin{matrix} x & = & \rho\cos\phi \\ y & = & \rho\sin\phi \\ z & = & z \end{matrix}\right.$

Any vector field can be written in terms of the unit vectors as:

$\mathbf A = A_x\mathbf{\hat x} + A_y\mathbf{\hat y} + A_z\mathbf{\hat z} = A_\rho\boldsymbol{\hat \rho} + A_\phi\boldsymbol{\hat \phi} + A_z\boldsymbol{\hat z}$

The cylindrical unit vectors are related to the cartesian unit vectors by:

$\begin{bmatrix}\boldsymbol\hat\rho \\ \boldsymbol\hat\phi \\ \boldsymbol\hat z\end{bmatrix} = \begin{bmatrix} \cos\phi & \sin\phi & 0 \\ -\sin\phi & \cos\phi & 0 \\ 0 & 0 & 1 \end{bmatrix} \begin{bmatrix} \mathbf\hat x \\ \mathbf\hat y \\ \mathbf\hat z \end{bmatrix}$

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:

$\mathbf\dot A = \dot A_x \mathbf\hat x + \dot A_y \mathbf\hat y + \dot A_z \mathbf\hat z$

However, in cylindrical coordinates this becomes:

$\mathbf\dot A = \dot A_\rho \boldsymbol\hat\rho + A_\rho \boldsymbol\dot\hat\rho + \dot A_\phi \boldsymbol\hat\phi + A_\phi \boldsymbol\dot\hat\phi + \dot A_z \boldsymbol\hat z + A_z \boldsymbol\dot\hat z$

We need the time derivatives of the unit vectors. They are given by:

$\left[\begin{matrix} \boldsymbol\dot\hat\rho & = & \dot\phi \boldsymbol\hat\phi \\ \boldsymbol\dot\hat\phi & = & - \dot\phi \boldsymbol\hat\rho \\ \boldsymbol\dot\hat z & = & 0 \end{matrix}\right.$

So the time derivative simplifies to:

$\mathbf\dot A = \boldsymbol\hat\rho (\dot A_\rho - A_\phi \dot\phi) + \boldsymbol\hat\phi (\dot A_\phi + A_\rho \dot\phi) + \boldsymbol\hat z \dot A_z$

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).

(r,θ,φ) is given in cartesian coordinates by:

$\left[\begin{matrix} r & = & \sqrt{x^2 + y^2 + z^2} \\ \theta & = & \arccos(z / r) \\ \phi & = & \operatorname{atan2}(y, x) \end{matrix}\right.$

or inversely by:

$\left[\begin{matrix} x & = & r\sin\theta\cos\phi \\ y & = & r\sin\theta\sin\phi \\ z & = & r\cos\theta \end{matrix}\right.$

Any vector field can be written in terms of the unit vectors as:

$\mathbf A = A_x\mathbf{\hat x} + A_y\mathbf{\hat y} + A_z\mathbf{\hat z} = A_r\boldsymbol{\hat r} + A_\theta\boldsymbol{\hat \theta} + A_\phi\boldsymbol{\hat \phi}$

The spherical unit vectors are related to the cartesian unit vectors by:

$\begin{bmatrix}\boldsymbol\hat r \\ \boldsymbol\hat\theta \\ \boldsymbol\hat\phi \end{bmatrix} = \begin{bmatrix} \sin\theta\cos\phi & \sin\theta\sin\phi & \cos\theta \\ \cos\theta\cos\phi & \cos\theta\sin\phi & -\sin\theta \\ -\sin\phi & \cos\phi & 0 \end{bmatrix} \begin{bmatrix} \mathbf\hat x \\ \mathbf\hat y \\ \mathbf\hat z \end{bmatrix}$

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:

$\mathbf\dot A = \dot A_x \mathbf\hat x + \dot A_y \mathbf\hat y + \dot A_z \mathbf\hat z$

However, in spherical coordinates this becomes:

$\mathbf\dot A = \dot A_r \boldsymbol\hat r + A_r \boldsymbol\dot\hat r + \dot A_\theta \boldsymbol\hat\theta + A_\theta \boldsymbol\dot\hat\theta + \dot A_\phi \boldsymbol\hat\phi + A_\phi \boldsymbol\dot\hat\phi$

We need the time derivatives of the unit vectors. They are given by:

$\begin{bmatrix}\boldsymbol\dot\hat r \\ \boldsymbol\dot\hat\theta \\ \boldsymbol\dot\hat\phi \end{bmatrix} = \begin{bmatrix} 0 & \dot\theta & \dot\phi \sin\theta \\ -\dot\theta & 0 & \dot\phi \cos\theta \\ -\dot\phi \sin\theta & -\dot\phi \cos\theta & 0 \end{bmatrix} \begin{bmatrix} \boldsymbol\hat r \\ \boldsymbol\hat\theta \\ \boldsymbol\hat\phi \end{bmatrix}$

So the time derivative becomes:

$\mathbf\dot A = \boldsymbol\hat r (\dot A_r - A_\theta \dot\theta - A_\phi \dot\phi \sin\theta) + \boldsymbol\hat\theta (\dot A_\theta + A_r \dot\theta - A_\phi \dot\phi \cos\theta) + \boldsymbol\hat\phi (\dot A_\phi + A_r \dot\phi \sin\theta + A_\phi \dot\phi \cos\theta)$

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.

Categories: Multivariate calculus

Mathematics Encyclopedia and Lessons

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Vector fields in cylindrical and spherical coordinates

Vector fields in cylindrical coordinates

Time derivative of a vector field in cylindrical coordinates

Gradient, divergence, curl, and laplacian in cylindrical coordinates

Vector fields in spherical coordinates

Time derivative of a vector field in spherical coordinates

Gradient, divergence, curl, and laplacian in spherical coordinates

Mathematics Encyclopedia and Lessons

Lessons

Popular Subjects

References

Vector fields in cylindrical and spherical coordinates

Vector fields in cylindrical coordinates

Time derivative of a vector field in cylindrical coordinates

Gradient, divergence, curl, and laplacian in cylindrical coordinates

Vector fields in spherical coordinates

Time derivative of a vector field in spherical coordinates

Gradient, divergence, curl, and laplacian in spherical coordinates

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