Gradient

The term "gradient" has several meanings in mathematics. The simplest is as a synonym for slope.

The more general gradient, called simply "the" gradient in vector analysis, is a vector operator denoted del and sometimes also called del or nabla. It is most often applied to a real function of three variables f(u_1,u_2,u_3), and may be denoted

 del f=grad(f).
(1)

For general curvilinear coordinates, the gradient is given by

 del phi=1/(h_1)(partialphi)/(partialu_1)u_1^^+1/(h_2)(partialphi)/(partialu_2)u_2^^+1/(h_3)(partialphi)/(partialu_3)u_3^^,
(2)

which simplifies to

 del phi(x,y,z)=(partialphi)/(partialx)x^^+(partialphi)/(partialy)y^^+(partialphi)/(partialz)z^^
(3)

in Cartesian coordinates.

The direction of del f is the orientation in which the directional derivative has the largest value and |del f| is the value of that directional derivative. Furthermore, if del f!=0, then the gradient is perpendicular to the level curve through (x_0,y_0) if z=f(x,y) and perpendicular to the level surface through (x_0,y_0,z_0) if F(x,y,z)=0.

In tensor notation, let

 ds^2=g_mudx_mu^2
(4)

be the line element in principal form. Then

 del _(e^->_alpha)e^->_beta=del _alphae^->_beta=1/(sqrt(g_alpha))partial/(partialx_alpha)e^->_beta.
(5)

For a matrix A,

 del |Ax|=((Ax)^(T)A)/(|Ax|).
(6)

For expressions giving the gradient in particular coordinate systems, see curvilinear coordinates.

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