In vectorial Analysis, the vectorial Laplacian is a differential Opérateur for the vector fields.

Expressions

The Laplacian of a vector field \ vec A is a vector field defined by:
\ vec \ Delta \ vec has = \ overrightarrow \ operatorname {grad} \ left (\ operatorname {div} \ vec has \ right) - \ overrightarrow \ operatorname {belch} \ left (\ overrightarrow \ operatorname {belch} \ vec has \ right) = \ vec \ nabla^2 \ vec A
In Coordinated Cartesian, it corresponds to the scalar Laplacian of each component of the vector field:
\ vec \ Delta \ vec has = \ begin {bmatrix} \ Delta A_x \ \ \ Delta A_y \ \ \ Delta A_z \ end {bmatrix} =
\ begin {bmatrix} \ frac {\ partial^2 partial A_x} {\ x^2} + \ frac {\ partial^2 partial A_x} {\ y^2} + \ frac {\ partial^2 partial A_x} {\ z^2} \ \ \ frac {\ partial^2 partial A_y} {\ x^2} + \ frac {\ partial^2 partial A_y} {\ y^2} + \ frac {\ partial^2 partial A_y} {\ z^2} \ \ \ frac {\ partial^2 partial A_z} {\ x^2} + \ frac {\ partial^2 partial A_z} {\ y^2} + \ frac {\ partial^2 A_z} {\partial z^2} \ end {bmatrix} In Coordinated cylindrical, it gives:
\ vec \ Delta \ vec has = \ begin {bmatrix} \ frac {\ partial^2 partial A_r} {\ r^2} + \ frac {1} {r^2} \ frac {\ partial^2 partial A_r} {\ \ theta^2} + \ frac {\ partial^2 partial A_r} {\ z^2} + \ frac {1} {R} \ frac {\ partial A_r} {\ partial R} - \ frac {2} {r^2} \ frac {\ partial A_ \ partial theta} {\ \ theta} - \ frac {A_r} {r^2} \ \ \frac {\ partial^2 A_ \ partial theta} {\ r^2} + \ frac {1} {r^2} \ frac {\ partial^2 A_ \ partial theta} {\ \ theta^2} + \ frac {\ partial^2 A_ \ partial theta} {\ z^2} + \ frac {1} {R} \ frac {\ partial A_ \ theta} {\ partial R} + \ frac {2} {r^2} \ frac {\ partial partial A_r} {\ \ theta} - \ frac {A_ \ theta} {r^2} \ \ \ frac {\ partial^2 partial A_z} {\ r^2} + \ frac {1} {r^2} \ frac {\ partial^2 partial A_z} {\ \ theta^2} + \ frac {\ partial^2 partial A_z} {\ z^2} + \ frac {1} {R} \ frac {\ partial A_z} {\ partial R} \ end {bmatrix}
And to finish, in Coordinated spherical, he is written:
\ vec \ Delta \ vec has = \ begin {bmatrix}
\ frac {1} {R} \ frac {\ partial^2 (R \ cdot A_r)}{\ partial r^2} + \ frac {1} {r^2} \ frac {\ partial^2 partial A_r} {\ \ theta^2} + \ frac {1} {r^2 \ cdot \ sin^2 \ theta} \ frac {\ partial^2 partial A_r} {\ \ phi^2} + \ frac {\ cot \ theta} {r^2} \ frac {\ partial partial A_r} {\ \ theta} - \ frac {2} {r^2} \ frac {\ partial A_ \ partial theta} {\ \ theta} - \ frac {2} {r^2 \ cdot \ sin \ theta} \frac {\ partial A_ \ partial phi} {\ \ phi} - \ frac {2A_r} {r^2} - \ frac {2 \ cot \ theta} {r^2} A_ \ theta \ \ \ frac {1} {R} \ frac {\ partial^2 (R \ cdot A_ \ theta)}{\ partial r^2} + \ frac {1} {r^2} \ frac {\ partial^2 A_ \ partial theta} {\ \ theta^2} + \ frac {1} {r^2 \ cdot \ sin^2 \ theta} \ frac {\ partial^2 A_ \ partial theta} {\ \ phi^2} + \ frac {\ cot \ theta} {r^2} \ frac {\ partial A_ \ partial theta} {\ \ theta} - \ frac {2} {r^2} \ frac {\ cot \ theta} {\ sin \ theta} \ frac {\ partial A_ \ phi} {\partial \ phi} + \ frac {2} {r^2} \ frac {\ partial partial A_r} {\ \ theta} - \ frac {A_ \ theta} {r^2 \ cdot \ sin^2 \ theta} \ \ \ frac {1} {R} \ frac {\ partial^2 (R \ cdot A_ \ phi)}{\ partial r^2} + \ frac {1} {r^2} \ frac {\ partial^2 A_ \ partial phi} {\ \ theta^2} + \ frac {1} {r^2 \ cdot \ sin^2 \ theta} \ frac {\ partial^2 A_ \ partial phi} {\ \ phi^2} + \ frac {\ cot \ theta} {r^2} \ frac {\ partial A_ \ partial phi} {\ \ theta} + \ frac {2} {r^2 \ cdot \ sin \ theta} \ frac {\ partial partial A_r} {\ \ phi} + \ frac {2}{r^2} \ frac {\ cot \ theta} {\ sin \ theta} \ frac {\ partial A_ \ partial theta} {\ \ phi} - \ frac {A_ \ phi} {r^2 \ cdot \ sin^2 \ theta} \end{bmatrix}

Applications

The vectorial Laplacian is present:

See too

Random links:Maurice Koechlin | 1913 in literature | Minamoto No Tameyoshi | Albertini shelves | Veniaminof mount

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