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Note: This page uses common physics notation for spherical coordinates, in which \theta is the angle between the ''z'' axis and the radius vector connecting the origin to the point in question, while \phi is the angle between the projection of the radius vector onto the ''x-y'' plane and the ''x'' axis. Several other definitions are in use, and so care must be taken in comparing different sources.
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Cylindrical coordinate system


Vector fields

Vectors are defined in
cylindrical coordinates A cylindrical coordinate system is a three-dimensional coordinate system that specifies point positions by the distance from a chosen reference axis ''(axis L in the image opposite)'', the direction from the axis relative to a chosen reference d ...
by (''ρ'', ''φ'', ''z''), where * ''ρ'' is the length of the vector projected onto the ''xy''-plane, * ''φ'' is the angle between the projection of the vector onto the ''xy''-plane (i.e. ''ρ'') and the positive ''x''-axis (0 ≤ ''φ'' < 2''π''), * ''z'' is the regular ''z''-coordinate. (''ρ'', ''φ'', ''z'') is given in
Cartesian coordinates A Cartesian coordinate system (, ) in a plane is a coordinate system that specifies each point uniquely by a pair of numerical coordinates, which are the signed distances to the point from two fixed perpendicular oriented lines, measured in ...
by: \begin \rho \\ \phi \\ z \end = \begin \sqrt \\ \operatorname(y / x) \\ z \end,\ \ \ 0 \le \phi < 2\pi, or inversely by: \begin x \\ y \\ z \end = \begin \rho\cos\phi \\ \rho\sin\phi \\ z \end. Any vector field can be written in terms of the unit vectors as: \mathbf A = A_x \mathbf + A_y \mathbf + A_z \mathbf = A_\rho \mathbf + A_\phi \boldsymbol + A_z \mathbf The cylindrical unit vectors are related to the Cartesian unit vectors by: \begin\mathbf \\ \boldsymbol \\ \mathbf\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 In linear algebra, an orthogonal matrix, or orthonormal matrix, is a real square matrix whose columns and rows are orthonormal vectors. One way to express this is Q^\mathrm Q = Q Q^\mathrm = I, where is the transpose of and is the identity m ...
, that is, its
inverse Inverse or invert may refer to: Science and mathematics * Inverse (logic), a type of conditional sentence which is an immediate inference made from another conditional sentence * Additive inverse (negation), the inverse of a number that, when a ...
is simply its
transpose In linear algebra, the transpose of a matrix is an operator which flips a matrix over its diagonal; that is, it switches the row and column indices of the matrix by producing another matrix, often denoted by (among other notations). The tr ...
.


Time derivative of a vector field

To find out how the vector field A changes in time, the time derivatives should be calculated. For this purpose Newton's notation will be used for the time derivative (\dot). In Cartesian coordinates this is simply: \dot = \dot_x \hat + \dot_y \hat + \dot_z \hat However, in cylindrical coordinates this becomes: \dot = \dot_\rho \hat + A_\rho \dot + \dot_\phi \hat + A_\phi \dot + \dot_z \hat + A_z \dot The time derivatives of the unit vectors are needed. They are given by: \begin \dot & = \dot \hat \\ \dot & = - \dot\phi \hat \\ \dot & = 0 \end So the time derivative simplifies to: \dot = \hat \left(\dot_\rho - A_\phi \dot\right) + \hat \left(\dot_\phi + A_\rho \dot\right) + \hat \dot_z


Second time derivative of a vector field

The second time derivative is of interest in
physics Physics is the natural science that studies matter, its fundamental constituents, its motion and behavior through space and time, and the related entities of energy and force. "Physical science is that department of knowledge which ...
, as it is found in
equations of motion In physics, equations of motion are equations that describe the behavior of a physical system in terms of its motion as a function of time.''Encyclopaedia of Physics'' (second Edition), R.G. Lerner, G.L. Trigg, VHC Publishers, 1991, ISBN (V ...
for classical mechanical systems. The second time derivative of a vector field in cylindrical coordinates is given by: \mathbf = \mathbf \left(\ddot A_\rho - A_\phi \ddot\phi - 2 \dot A_\phi \dot\phi - A_\rho \dot\phi^2\right) + \boldsymbol \left(\ddot A_\phi + A_\rho \ddot\phi + 2 \dot A_\rho \dot\phi - A_\phi \dot\phi^2\right) + \mathbf \ddot A_z To understand this expression, A is substituted for P, where P is the vector (''ρ'', ''φ'', ''z''). This means that \mathbf = \mathbf = \rho \mathbf + z \mathbf. After substituting, the result is given: \ddot\mathbf = \mathbf \left(\ddot \rho - \rho \dot\phi^2\right) + \boldsymbol \left(\rho \ddot\phi + 2 \dot \rho \dot\phi\right) + \mathbf \ddot z In mechanics, the terms of this expression are called: \begin \ddot \rho \mathbf &= \text \\ -\rho \dot\phi^2 \mathbf &= \text \\ \rho \ddot\phi \boldsymbol &= \text \\ 2 \dot \rho \dot\phi \boldsymbol &= \text \\ \ddot z \mathbf &= \text \end


Spherical coordinate system


Vector fields

Vectors are defined in
spherical coordinates In mathematics, a spherical coordinate system is a coordinate system for three-dimensional space where the position of a point is specified by three numbers: the ''radial distance'' of that point from a fixed origin, its ''polar angle'' meas ...
by (''r'', ''θ'', ''φ''), where * ''r'' is the length of the vector, * ''θ'' is the angle between the positive Z-axis and the vector in question (0 ≤ ''θ'' ≤ ''π''), and * ''φ'' is the angle between the projection of the vector onto the ''xy''-plane and the positive X-axis (0 ≤ ''φ'' < 2''π''). (''r'', ''θ'', ''φ'') is given in
Cartesian coordinates A Cartesian coordinate system (, ) in a plane is a coordinate system that specifies each point uniquely by a pair of numerical coordinates, which are the signed distances to the point from two fixed perpendicular oriented lines, measured in ...
by: \beginr \\ \theta \\ \phi \end = \begin \sqrt \\ \arccos(z / \sqrt) \\ \arctan(y / x) \end,\ \ \ 0 \le \theta \le \pi,\ \ \ 0 \le \phi < 2\pi, or inversely by: \begin x \\ y \\ z \end = \begin r\sin\theta\cos\phi \\ r\sin\theta\sin\phi \\ r\cos\theta\end. Any vector field can be written in terms of the unit vectors as: \mathbf A = A_x\mathbf + A_y\mathbf + A_z\mathbf = A_r\boldsymbol + A_\theta\boldsymbol + A_\phi\boldsymbol The spherical unit vectors are related to the Cartesian unit vectors by: \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 In linear algebra, an orthogonal matrix, or orthonormal matrix, is a real square matrix whose columns and rows are orthonormal vectors. One way to express this is Q^\mathrm Q = Q Q^\mathrm = I, where is the transpose of and is the identity m ...
, that is, its inverse is simply its
transpose In linear algebra, the transpose of a matrix is an operator which flips a matrix over its diagonal; that is, it switches the row and column indices of the matrix by producing another matrix, often denoted by (among other notations). The tr ...
. The Cartesian unit vectors are thus related to the spherical unit vectors by: \begin\mathbf \\ \mathbf \\ \mathbf \end = \begin \sin\theta\cos\phi & \cos\theta\cos\phi & -\sin\phi \\ \sin\theta\sin\phi & \cos\theta\sin\phi & \cos\phi \\ \cos\theta & -\sin\theta & 0 \end \begin \boldsymbol \\ \boldsymbol \\ \boldsymbol \end


Time derivative of a vector field

To find out how the vector field A changes in time, the time derivatives should be calculated. In Cartesian coordinates this is simply: \mathbf = \dot A_x \mathbf + \dot A_y \mathbf + \dot A_z \mathbf However, in spherical coordinates this becomes: \mathbf = \dot A_r \boldsymbol + A_r \boldsymbol + \dot A_\theta \boldsymbol + A_\theta \boldsymbol + \dot A_\phi \boldsymbol + A_\phi \boldsymbol The time derivatives of the unit vectors are needed. They are given by: \begin \boldsymbol &= \dot\theta \boldsymbol + \dot\phi\sin\theta \boldsymbol \\ \boldsymbol &= - \dot\theta \boldsymbol + \dot\phi\cos\theta \boldsymbol \\ \boldsymbol &= - \dot\phi\sin\theta \boldsymbol - \dot\phi\cos\theta \boldsymbol \end Thus the time derivative becomes: \mathbf = \boldsymbol \left(\dot A_r - A_\theta \dot\theta - A_\phi \dot\phi \sin\theta \right) + \boldsymbol \left(\dot A_\theta + A_r \dot\theta - A_\phi \dot\phi \cos\theta\right) + \boldsymbol \left(\dot A_\phi + A_r \dot\phi \sin\theta + A_\theta \dot\phi \cos\theta\right)


See also

*
Del in cylindrical and spherical coordinates This is a list of some vector calculus formulae for working with common curvilinear coordinate systems. Notes * This article uses the standard notation ISO 80000-2, which supersedes ISO 31-11, for spherical coordinates (other sources may reve ...
for the specification of
gradient In vector calculus, the gradient of a scalar-valued differentiable function of several variables is the vector field (or vector-valued function) \nabla f whose value at a point p is the "direction and rate of fastest increase". If the gr ...
,
divergence In vector calculus, divergence is a vector operator that operates on a vector field, producing a scalar field giving the quantity of the vector field's source at each point. More technically, the divergence represents the volume density of ...
,
curl cURL (pronounced like "curl", UK: , US: ) is a computer software project providing a library (libcurl) and command-line tool (curl) for transferring data using various network protocols. The name stands for "Client URL". History cURL was ...
, and
Laplacian In mathematics, the Laplace operator or Laplacian is a differential operator given by the divergence of the gradient of a scalar function on Euclidean space. It is usually denoted by the symbols \nabla\cdot\nabla, \nabla^2 (where \nabla is the ...
in various coordinate systems.


References

{{DEFAULTSORT:Vector Fields In Cylindrical And Spherical Coordinates Vector calculus Coordinate systems