VECTOR CALCULUS
mathematical point of view, as we do below. In the following chapter, however, we
will discuss their geometrical definitions, which rely on the concept of integrating
vector quantities along lines and over surfaces.
Central to all these differential operations is the vector operator∇,whichis
calleddel(or sometimesnabla) and in Cartesian coordinates is defined by
∇≡i
∂
∂x
+j
∂
∂y
+k
∂
∂z
. (10.25)
The form of this operator in non-Cartesian coordinate systems is discussed in
sections 10.9 and 10.10.
10.7.1 Gradient of a scalar field
Thegradientof a scalar fieldφ(x, y, z) is defined by
gradφ=∇φ=i
∂φ
∂x
+j
∂φ
∂y
+k
∂φ
∂z
. (10.26)
Clearly,∇φis a vector field whosex-,y-andz- components are the first partial
derivatives ofφ(x, y, z) with respect tox,yandzrespectively. Also note that the
vector field∇φshould not be confused with the vector operatorφ∇, which has
components (φ ∂/∂x, φ ∂/∂y, φ ∂/∂z).
Find the gradient of the scalar fieldφ=xy^2 z^3.
From (10.26) the gradient ofφis given by
∇φ=y^2 z^3 i+2xy z^3 j+3xy^2 z^2 k.
The gradient of a scalar fieldφhas some interesting geometrical properties.
Let us first consider the problem ofcalculating the rate of change ofφin some
particular direction. For an infinitesimal vector displacementdr, forming its scalar
product with∇φwe obtain
∇φ·dr=
(
i
∂φ
∂x
+j
∂φ
∂y
+k
∂φ
∂z
)
·(idx+jdy+kdx),
=
∂φ
∂x
dx+
∂φ
∂y
dy+
∂φ
∂z
dz,
=dφ, (10.27)
which is the infinitesimal change inφin going from positionrtor+dr.In
particular, ifrdepends on some parameterusuch thatr(u) defines a space curve