Physics · Glossary

What is Gradient, divergence, curl, Laplacian?

Definition 11.1 University Physics — Year 2 · Chapter 11 — Maxwell’s Equations

For a scalar field ff and a vector field A\vect A, in Cartesian coordinates with the symbolic vector =(x,y,z)\vect\nabla = (\partial_x, \partial_y, \partial_z):

gradf=f=(xf, yf, zf),divA=A=xAx+yAy+zAz,curlA=A=(yAzzAy, zAxxAz, xAyyAx),Δf=divgradf=x2f+y2f+z2f,\begin{align*} \operatorname{\vect{grad}}f &= \vect\nabla f = (\partial_xf,\ \partial_yf,\ \partial_zf) ,\\ \operatorname{div}\vect A &= \vect\nabla\cdot\vect A = \partial_xA_x + \partial_yA_y + \partial_zA_z ,\\ \operatorname{\vect{curl}}\vect A &= \vect\nabla\wedge\vect A = (\partial_yA_z - \partial_zA_y,\ \partial_zA_x - \partial_xA_z,\ \partial_xA_y - \partial_yA_x) ,\\ \Delta f &= \operatorname{div}\operatorname{\vect{grad}}f = \partial_x^2f + \partial_y^2f + \partial_z^2f , \end{align*}

and ΔA\Delta\vect A is the Laplacian taken on each Cartesian component. Their meaning is independent of coordinates: gradf ⁣dl= ⁣df\operatorname{\vect{grad}}f \cdot\dd\vect l = \dd f is the change of ff along  ⁣dl\dd\vect l; divA\operatorname{div} \vect A is the outgoing flux of A\vect A through the surface of a small volume, per unit volume; curlAn\operatorname{\vect{curl}}\vect A\cdot\vect n is the circulation of A\vect A around a small loop of normal n\vect n, per unit area.

The two operators of the Maxwell equations, read geometrically: the divergence measures how much a field flows out of a small volume, the curl how much it circulates around a small loop.
The two operators of the Maxwell equations, read geometrically: the divergence measures how much a field flows out of a small volume, the curl how much it circulates around a small loop.
Read in context →