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Section 1.14
1.14 Tensor Calculus I: Tensor Fields
In this section, the concepts from the calculus of vectors are generalised to the calculus of
higher-order tensors.
1.14.1 Tensor-valued Functions
Tensor-valued functions of a scalar
The most basic type of calculus is that of tensor-valued functions of a scalar, for example
the time-dependent stress at a point, S S(t). If a tensor T depends on a scalar t, then
the derivative is defined in the usual way,
dT lim T(t t) T(t) ,
dt t0 t
which turns out to be
dT dT
ij e e (1.14.1)
dt dt i j
The derivative is also a tensor and the usual rules of differentiation apply,
d dT dB
dt TB dt dt
d dT d
dt (t)T dt dt T
d da dT
dt Ta T dt dt a
d dB dT
dt TB T dt dt B
d dTT
T
T
dt dt
For example, consider the time derivative of QQT , where Q is orthogonal. By the
product rule, using QQT I,
d dQ dQT dQ dQT
T T T
dt QQ dt Q Q dt dt Q Q dt 0
Thus, using Eqn. 1.10.3e
T T T T
QQ QQ QQ (1.14.2)
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Section 1.14
which shows that T is a skew-symmetric tensor.
QQ
1.14.2 Vector Fields
The gradient of a scalar field and the divergence and curl of vector fields have been seen
in §1.6. Other important quantities are the gradient of vectors and higher order tensors
and the divergence of higher order tensors. First, the gradient of a vector field is
introduced.
The Gradient of a Vector Field
The gradient of a vector field is defined to be the second-order tensor
grada a e ai e e Gradient of a Vector Field (1.14.3)
x j x i j
j j
In matrix notation,
a a a
1 1 1
x x x
1 2 3
grada a2 a2 a2 (1.14.4)
x x x
1 2 3
a3 a3 a3
x x x
1 2 3
One then has
ai
gradadx ei ej dxkek
xj
ai dx e (1.14.5)
x j i
j
da
a(x x)a( x)
d d
which is analogous to Eqn 1.6.10 for the gradient of a scalar field. As with the gradient
of a scalar field, if one writes dx as dxe , where e is a unit vector, then
gradae da (1.14.6)
dx
in e direction
Thus the gradient of a vector field a is a second-order tensor which transforms a unit
vector into a vector describing the gradient of a in that direction.
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Section 1.14
As an example, consider a space curve parameterised by s, with unit tangent vector
(see §1.6.2); one has
τ ddx / s
dx
d
aa a a
j .
τeeτgradaτ
jj
ds x ds x x
jjj
Although for a scalar field grad is equivalent to , note that the gradient defined in
1.14.3 is not the same as a. In fact,
T
(1.14.7)
a grada
since
ae a e aj e e (1.14.8)
i x j j x i j
i i
These two different definitions of the gradient of a vector, ai /xjei ej and
aj /xiei ej, are both commonly used. In what follows, they will be distinguished by
labeling the former as grada (which will be called the gradient of a) and the latter as
a.
Note the following:
in much of the literature, a is written in the contracted form a, but the more
explicit version is used here.
some authors define the operation of on a vector or tensor not as in 1.14.8, but
aagrad ax/ ee
through /x e so that .
ij
ii ij
Example (The Displacement Gradient)
Consider a particle p0 of a deforming body at position X (a vector) and a neighbouring
point q0 at position dX relative to p0, Fig. 1.14.1. As the material deforms, these two
particles undergo displacements of, respectively, u(X) and u(X dX). The final
positions of the particles are pf and qf . Then
dx dXu(XdX)u(X)
dXdu(X)
dXgradudX
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Section 1.14
initial q
0
dX u(XdX)
p q
0 f
u(X) dx
X pf final
Figure 1.14.1: displacement of material particles
Thus the gradient of the displacement field u encompasses the mapping of (infinitesimal)
line elements in the undeformed body into line elements in the deformed body. For
example, suppose that u kX 2, u u 0. Then
1 2 2 3
u 0 2kX2 0
gradu i 0 0 0 2kX e e
X 2 1 2
j 0 0 0
A line element dX dXiei at X Xiei maps onto
dx dX 2kX2e1 e2 dX1e1 dX2e2 dX3e3
dX2kX2dX2e1
The deformation of a box is as shown in Fig. 1.14.2. For example, the vector dX de2
(defining the left-hand side of the box) maps onto dx 2k de1 e2 .
X2
final
X1
Figure 1.14.2: deformation of a box
Note that the map dX dx does not specify where in space the line element moves to.
It translates too according to x X u .
■
The Divergence and Curl of a Vector Field
The divergence and curl of vectors have been defined in §1.6.6, §1.6.8. Now that the
gradient of a vector has been introduced, one can re-define the divergence of a vector
independent of any coordinate system: it is the scalar field given by the trace of the
gradient {▲Problem 4},
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