Our goal for this Chapter is clear. Having discovered that the derivative of a tensor is not a
tensor in its own right, we must look for a way to bring differentiation back within the fold of
the tensor paradigm. The solution will come in the form of a new differential operator, known as
the covariant derivative, whose defining characteristic is its tensor property, i.e.
the fact that it produces tensor outputs for tensor inputs. In the end, we will come to see the
loss of the tensor property under differentiation not as a setback but as a welcome opportunity to
broaden our analytical network.
15.1A preliminary exploration
As we discovered at the end of the last Chapter, if is a
contravariant tensor, i.e.
then the variant
is not a tensor in its own right
since it transforms according to the identity
As a result, we do not easily see
how the variant
can be used in an expression that would produce the same value in all coordinate systems and would
therefore be considered an invariant. In other words, our analysis has lost its grasp on the
geometric meaning.
In order to restore the lost geometric meaning, we must reconnect our analysis to tangible
geometric objects. Let us imagine that is
not some abstract tensor but is, in fact, the components of an invariant vector , and that the whole purpose of differentiating with
respect to the coordinates
is to capture the rate of change of the vector . In fact, let us switch from the letter to the letter which we have commonly used to denote
geometric vectors in a Euclidean space. Once our present exploration suggests to us a way of
retaining the geometric meaning in the course of our analysis, we will switch back from to and extend our analytical insight to
abstract tensors.
Consider an invariant vector field with components , i.e.
Recall, that both and
are
tensors. Furthermore, the collection of partial derivatives
being the result of differentiating
an invariant, is a tensor in its own right (with vector elements). Since
we should expect that analyzing the
expression
should present us with the insights
we need for preserving the geometric meaning. (Note that we are differentiating with respect to
rather than
because we would like to save the index for our upcoming analysis of
second-order tensors.)
By the product rule, we have
Recall that, by the very definition
of the Christoffel symbol,
Therefore,
Importantly, neither term on the
right is a tensor -- but their sum is! Thus, we know to keep the two terms together.
Both terms represent linear combinations with respect to one and the same basis. We should,
therefore, be able to combine them in a component-by-component manner. To do so while staying in
the tensor notation, re-index the second term so that the basis appears with the index . This can be accomplished by switching the roles of
indices and ,
which is valid since both indices
are dummy. As a result, we are able to factor out , i.e.
Since the Christoffel symbol is
symmetric in its subscripts, i.e.
we arrive at the identity
This identity brings us right to the
main point: the combination
being the components of a tensor,
is a tensor in its own right. This alone should signal to us that this combination ought to
take the place of the partial derivative
as the differential operator for
measuring spatial variability. Besides being a tensor, the combination
is decidedly preferable over
alone since it actually represents the components of the derivatives of the vector field . And it is able to do so by referencing only those objects
that are available in the coordinate space. This is possible thanks to the term containing the
Christoffel symbol which can be said to account for the variability of the accompanying basis.
Let us now explore the same analytical argument for the covariant component of
. Differentiate the identity
with respect to ,
i.e.
By the product rule, we have
Since
we find that
Renaming the indices and rearranging
the terms as before yields
Thus, we conclude that the
combination
is a tensor in its own right and
therefore ought to replace the partial derivative as the primary differential operator. In the next
Section, we will use the combinations
and
as the inspiration for the
definition of the covariant derivative for first-order variants.
15.2A formal definition for first-order variants
Since we are turning our attention to general tensors which may not be the components of a vector
field, let us switch from the letter back to . For a first-order contravariant
tensor and
for a first-order covariant tensor ,
the definitions of the covariant derivative read
The cornerstone property of the covariant derivative, which we will discuss last, is that it
produces tensor outputs for tensor inputs.
It is a signature characteristic of the covariant derivative that the different flavors of tensors
receive different treatments. At first sight, the fact that there are two different definitions for
the two different types of tensors may create a certain sense of inelegance and perhaps of
excessive complexity. However, we should point out that the strong indicial structure of these
definitions makes it easy to correctly arrange the indices in the Christoffel term. Indeed, note
that the indicial signature of
while that of
Thus,
where in the last Christoffel
symbol, the order of the subscripts does not matter due to symmetry. Since two of the three indices
have "placed themselves", it leaves only one possibility for the remaining index , i.e.
Thus, the only aspect of the
definition of the covariant derivative that needs to be memorized is the sign: plus
for a contravariant tensor and minus for a covariant tensor.
Note another interesting characteristic of the covariant derivative: it cannot be applied to the
elements of the input vector individually. For example,
cannot be evaluated without referring to all of the remaining elements of since
those appear in the term with the Christoffel symbol. This is unlike the partial derivative where
can be evaluated individually, without a reference to the other elements of .
The definitions presented above are valid only for first-order tensors. Before we give the general
definition of the covariant derivative applicable to tensors of arbitrary order, we will explore
one crucial property, known as the metrinilic property, of the first-order definitions
presented so far.
15.3The metrinilic property with respect to and
The definitions of the covariant derivative -- as applied to first-order tensors -- that we have
just formulated in the previous Section can be applied to the covariant basis as
well as the contravariant basis . In
both cases, the result is as surprising as it is important.
Let us begin with the covariant basis . By
the definition
of the covariant derivative for a
covariant tensor, is
given by
However, by the very definition of
the Christoffel symbol,
and therefore the two terms on the
right of the preceding equation cancel each other. Thus, we conclude that
i.e. the covariant derivative of the
covariant basis vanishes.
The very same conclusion awaits us for the contravariant basis . By
the definition
of the covariant derivative for a
contravariant tensor,
is given by
and, since
we can conclude that
i.e. the covariant derivative of the
contravariant basis vanishes.
This characteristic of the covariant derivative is referred to as the metrinilic property --
metrinilic being the combination of the words metric and nil. We will soon
discover that the metrinilic property extends to the metric tensors, as well as to the
soon-to-be-introduced Levi-Civita symbols
and
also considered parts of the metrics family.
The metrinilic property of the covariant derivative has far reaching implications. Recall that the
partial derivative
produces zero when applied to the coordinate basis vectors , , and in affine coordinates, i.e.
This property is the key to our
ability to differentiate vector fields by differentiating their affine components. Indeed, for a
vector field with components , , and , i.e.
we have, by the product rule,
Since the partial derivatives of the
basis vectors vanish, we are left with
Thus, the components of the
derivative
are
i.e. the derivatives of the
corresponding components. In informal words, can be differentiated by differentiating its components.
Thanks to the metrinilic property, the same principle applies to the covariant derivative. If
or, omitting the independent
variables,
then, by an application of the
product rule (to be demonstrated later), we have
By the metrinilic property, we have
So, analogously to the partial
derivative, the covariant derivative can be applied in component-wise fashion.
Finally, let us express the same calculation in indicial form. If
then, by taking the covariant
derivatives of both sides of this equation, i.e.
we find, by the product rule, that
By the metrinilic property, the
second term vanishes and we are left with
On an intuitive level, the effect of the metrinilic property may be described by saying that the
covariant derivative sees the basis as a constant and thus lets it pass through, similar to the way
the ordinary derivative allows constants to pass through, e.g.
Similarly,
15.4The covariant derivative for second-order variants
Rather than outright stating the definition of the covariant derivative for variants of arbitrary
order, we will show how it inevitably arises from the combination of the metrinilic property and
the product rule. To this end, consider a second-order tensor .
The definitions of the covariant derivative
available to us so far apply only to variants of order one and therefore do not apply to .
However, if we contract
with ,
the resulting tensor
is of order one and is therefore
subject to the definition
According to this definition, we
have
Substituting
for and
for and
applying the ordinary product rule to the partial derivative, we find
Since
we have
Finally, switching the roles of
and in the second term, we find
This completes our analysis of the
first-order tensor under
the already-established covariant derivative for first-order variants.
Now let us turn our attention to the yet-to-be-defined covariant derivative
applicable to second- and higher-order tensors that could therefore be applied to the equivalent
combination .
If we desire that it satisfies the product rule and the metrinilic property, then its application
to the identity
will yield
Comparing the two expressions for
we
conclude that the only viable definition for is
This identity will indeed serve as a
blueprint for the general definition of the covariant derivative. The structure of the expression
on the right can be summarized in words as follows: there is a Christoffel term for each index in
the indicial signature of the variant. In each term, the relevant index participates in the
indicial pattern that was established for first-order variants, while the remaining indices remain
where they are.
15.5The general definition of the covariant derivative
The number of terms in the definition of the covariant derivative depends on the order of the
variant. Therefore, we will, as we typically do, capture the general definition by presenting an
expression for a variant
with a representative collection of indices. The definition reads
It is to be understood in the sense
that to each index in the indicial signature of the variant under the derivative, there corresponds
an appropriate additive term involving the Christoffel symbol, where the relevant index
participates in the kind of indicial pattern that was established for first-order variants, while
the remaining indices remain where they are.
For example, when applied to the contravariant tensor , the
formula reads
For a covariant tensor , we
have
Finally, for a tensor , we
have
We are, once again, obliged to state the most crucial property, known as the tensor
property, of the covariant derivative -- namely, that it produces tensor outputs for tensor
inputs. More specifically, the resulting tensor is of one covariant order greater than the input
tensor.
The newly created index can, of course, be raised by contraction with the contravariant metric
tensor. The resulting operator, represented by the combination
is aptly denoted by the symbol ,
i.e.
and can be referred to as the
contravariant derivative, although this term is not frequently used.
Finally, note that the covariant derivative can be applied to variants that are not tensors. For
example,
In this case, it is likely that the
output variant is also not a tensor.
15.6Application to variants of order zero
A tensor of order zero is an invariant. As we pointed out in the previous Chapter, the fact that
the general definition of a tensor applies to variants of order zero is not a minor edge case but
is, in fact, the heart of the matter.
Similarly, the general definition of the covariant derivative applies to variants of order zero.
Since a variant of order zero has no indices, the
covariant derivative reduces to the ordinary partial derivative, i.e.
Note that this fact justifies our
earlier use of the symbol to
denote partial derivatives of variants of order zero.
15.7The covariant derivative in affine coordinates
Recall that the Christoffel symbol vanishes in affine coordinates, i.e.
As a result, the covariant
derivative coincides with the partial derivative, i.e.
in affine coordinates.
This seemingly simple fact actually finds frequent and important applications. For instance, assume
for a moment that the tensor property of the covariant derivative has already been demonstrated.
Then, from our discussion in Section 14.2 it follows if
the partial derivatives of a tensor vanish in an affine coordinate system, then its
derivative vanishes in all coordinates. In particular, the metrinilic property
follows from the fact that the
partial derivatives of the coordinate basis vectors , , and vanish in affine coordinates.
Furthermore, from the fact that partial derivatives commute it will follow that covariant
derivatives commute as well. This important insight will be discussed later in this Chapter.
15.8The product rule
Crucially, the covariant derivative satisfies the familiar product rule. For example,
Let us demonstrate this particular
identity and, as always, it will be apparent that the rule holds generally for variants with
arbitrary indicial signatures.
By definition, the covariant derivative of is
given by
An application of the ordinary
product rule to the partial derivative on the right yields
Now, group the terms on the right in
the following way:
Since
we arrive at the desired result
We encourage the reader to repeat
the calculation for variants with more complicated indicial signatures, such as and
make sure that the expected product rule is valid.
Admittedly, the above demonstration of the product rule proved to be rather straightforward and not
entirely unexpected. On the other hand, at the time when the definition of the covariant derivative
first occurred to its inventors, the question of whether the product rule held was not at all
obvious. We can only imagine their sense of satisfaction at discovering that it does indeed hold,
allowing the idea to move forward.
15.9The metrinilic property with respect to the metric tensors
Earlier, we established that the covariant and contravariant bases vanish under the covariant
derivative, i.e.
The product rule, which is valid for dot products, allows us to easily extend this result to the
metric tensors. Since the covariant metric tensor is
given by the dot product
an application of the product rule
yields
and since each term on the right
vanishes, we can conclude that
Similarly, the identity
yields the analogous result for the
contravariant metric tensor
Finally, since the Kronecker delta
is
given by
we are able to conclude that it,
too, vanishes under the covariant derivative, i.e.
In Applications of Tensor
Analysis, J.J. McConnell refers to the identities and as Ricci's lemma.
Thanks to the metrinilic property, the metrics freely pass through the covariant derivative.
We have already observed this for the covariant and contravariant bases in Section 15.3. For example,
as can be seen by applying the
product rule on the right and subsequently appealing to the metrinilic property. Similarly, the
metric tensor also seamlessly passes through the covariant derivative, e.g.
This important observation finds
numerous applications. In particular, it makes index juggling safe, as we will demonstrate in the
next Section.
Finally, we should point out that the above proof of the metrinilic property, by virtue of its
reliance on the covariant basis and the geometric dot product, is essentially Euclidean. However,
in a Euclidean space, we could give another justification for the metrinilic property. Note that
the identities
are obviously true in Cartesian coordinates -- or any affine coordinates, for that matter. Indeed,
in such coordinates, the bases, the metric tensors, and, of course, the Kronecker delta have
constant elements while the covariant derivative coincides with the partial derivative. Thus, the
result is zero. Meanwhile, by the flagship tensor property of the covariant derivative, which will
be demonstrated below, the variants , ,
,
,
and
are tensors. As such, if they vanish in one coordinate system, they vanish in all coordinate
systems, which completes the argument.
This argument is also restricted Euclidean since it relies on the availability of an affine
coordinate system. However, it is important to know that the metrinilic property with respect to
the metric tensors and the Kronecker delta continues to hold in the more general Riemannian spaces.
A more general way to demonstrate the metrinilic property that holds up in a Riemannian space
involves a direct application of the definition of the covariant derivative. This approach can be
found in one of the exercises at the end of the Chapter.
15.10Index juggling across the covariant derivative
There are two operations related to index juggling to which we have become accustomed. The first
is juggling a free index on both sides of an identity. For example, if
then lowering on both sides of the identity yields
The second is allowing two dummy
indices in a contraction to exchange flavors. For example, if
then exchanging the flavors of the
index between the two variants on the right
yields
Do these operations remain valid in the presence of a covariant derivative? For example, consider
the identity
First, let us ask whether the index
can be lowered on both sides to produce
In order to answer this question, we
must recall the underlying mechanics of index juggling. The lowering of the index in the identity
is achieved by contracting both
sides with the covariant metric tensor , i.e.
Since, as we pointed out in the
previous Section, the metric tensor moves
freely across the covariant derivative , we
have
Therefore,
and, after renaming into , we have
In summary, the initial identity
implies
In other words, thanks to the
metrinilic property, a free index can indeed be raised or lowered on both sides of an identity even
if one or more variants are found under the covariant derivative.
Similarly, it can be shown that a dummy index can be juggled across the covariant derivative, i.e.
The demonstration of this fact is
left as an exercise.
15.11Commutativity with contraction
Consider the expression
and note that it can be interpreted
in two ways with respect to the order in which the covariant derivative and contraction are
applied. On the one hand, it can be interpreted as the covariant derivative applied to the
first-order variant .
In this interpretation, the expanded expression for the covariant derivative will have a single
Christoffel term. On the other hand, it can be seen as the covariant derivative applied to the
third-order variant
with the result subsequently contracted on and . In this interpretation, the
expression for the covariant derivative will have three Christoffel terms. Fortunately, as we are
about to show, both interpretations lead to the same result.
Let us first interpret as
the covariant derivative applied to the variant of
order one. We have
In the alternative interpretation,
let us apply the covariant derivative to the third-order variant
and subsequently perform the contraction. By the definition of the covariant derivative, we have
Now, contract and :
Note that the first two Christoffel
terms, i.e. those that correspond to the indices and , cancel each other out. This can be
seen by exchanging the names of the indices and in, say, the first term. Thus,
which is consistent with the first
interpretation.
15.12The tensor property
We now turn to the most crucial property of the covariant derivative, i.e. its tensor
property. It states that the result of applying the covariant derivative to a tensor is a tensor of
one additional covariant order.
Our proof of this property will be based on an elegant inductive argument. For tensors of order
zero, i.e. invariants, the tensor property of follows from the fact
that the covariant derivative coincides with the
partial derivative ,
for which the tensor property was demonstrated in the previous Chapter. We will now turn our
attention to first-order tensors and then show how to extend the proof to second- and higher-order
tensors.
15.12.1Proof for a first-order covariant tensor
Consider a covariant tensor . Our
goal is to demonstrate the tensor property of . Of
course, we could do this by considering the invariant vector field and
then repeating the argument given at the beginning of this Chapter based on the tensor property of
. However, that argument has a few shortcomings. For example,
it is not applicable to a tensor with
vector elements, since there is no such thing as .
However, even for tensors with scalar components, it is important to have a proof that utilizes
only those objects that are available in the component space. Such a proof would remain valid in
the context of Riemannian spaces which we will soon describe. Thus, we will choose to give a direct
proof based on demonstrating that and
are
related by the proper transformation rule. Importantly, the analytical logistics of this approach
also work for tensors with
vector elements. Furthermore, this proof will show the precise manner in which the non-tensor
contributions to the transformation rules cancel each other out to produce a tensor.
In the primed coordinates, the variant is
given by
We will now relate each of the
elements on the right to their unprimed counterparts.
Let us start with ,
for which the transformation rule was given in the previous Chapter, but never derived. Since is a
tensor, we have
As we have done previously on a
number of occasions, treat this equation as an identity in the primed coordinates, i.e.
and differentiate both sides with
respect to .
By the product rule, we find
Since
we have
Thus, we have the transformation
rule for the first term on the right in equation
Moving on to the second term, recall that
or
Thus, since , we
have
Putting the two terms together, we find
The two terms containing the
second-order Jacobians -- i.e. the two non-tensor terms! -- cancel each other and we are left with
or, factoring out the Jacobians,
Finally, since the quantity in
parentheses corresponds to , we
have
precisely as we set out to show.
15.12.2Proof for a first-order contravariant tensor
Naturally, the tensor property of for a
contravariant tensor can
be demonstrated in the exact same manner as we just used for a covariant tensor .
Pursuing this approach is left as an exercise. Instead, we will now use a different approach based
on the use of the quotient theorem. The beauty of this approach is that it can also be used in the
inductive step of the overall proof.
Consider a contravariant tensor and,
for any other tensor , form
the invariant
Apply the contravariant derivative
to both sides of the above identity:
By the product rule, we have
The variant ,
whose tensor property we are trying to demonstrate, is found in the term on the
right. Solving for that term, we find:
The combination is
clearly a tensor since each term on the right is a tensor according to the properties proven
earlier. Thanks to the arbitrariness of , the
quotient theorem tells us that is a
tensor in its own right, as we set out to prove.
15.12.3The inductive step
For higher-order tensors, the tensor property of the covariant derivative can be shown by
increasing the order by one unit at a time. For a tensor order two, say ,
construct a first-order tensor by
contracting
with an arbitrary tensor :
As before, take the covariant
derivative of both sides
By the product rule,
As before, solve for the term
containing :
Once again, all terms on the right
are tensors which leads to the conclusion that
is a tensor by the quotient theorem.
It is clear that continuing in this fashion, we can demonstrate the tensor property of the
covariant derivative with respect to tensors of any order and any indicial signature. This
completes the proof of this linchpin property.
15.13Invariant differential operators
The tensor property guarantees the geometric meaningfulness of the covariant derivative and opens
the floodgates for producing differential invariants. For example, for a tensor , the
variant
is a tensor in its own right. Therefore, the combination
is an invariant. In fact, it is the
celebrated divergence operator. We may not immediately know its precise geometric meaning
but we can be confident that this quantity is worthy of analysis. Similarly, for an invariant , the combination , which can also be
expressed in the more compact form
is an invariant. Of course, you may
recognize it as the Laplace operator or the Laplacian of . Note that both, the divergence and
the Laplacian, have elegant geometric interpretations that will discussed in Chapter 18.
15.14The commutative property
The covariant derivatives commute, i.e.
when applied to tensors of arbitrary
order. To prove this statement, let be
a tensor with a representative collection of indices. Consider the combination
known as a commutator, that
is often denoted by
By the tensor property of the
covariant derivative, we know that the commutator is a tensor. Furthermore, in affine coordinates,
where the covariant derivative coincides with the partial derivative, we have
Since partial derivatives commute,
we conclude that -- in affine coordinates -- the commutator vanishes, i.e.
Recall that a tensor that vanishes
in one coordinate system vanishes in all coordinate systems. Therefore, the identity
holds in all coordinate systems, as
we set out to prove.
The commutative property of the covariant derivative appears quite simple and, perhaps, it is. But
it is also a fact of utmost profundity. Our proof of it relied not only on the tensor property of
the covariant derivative, but also on the availability of affine coordinates, which is a
signature characteristic of Euclidean spaces. Therefore, our proof was inextricably linked to the
Euclidean nature of space. In fact, in other kinds of spaces -- in particular, Riemannian spaces --
where all other facts that went into the proof remain intact but affine coordinates are not
available, commutativity no longer holds. Thus, we must interpret the commutative property of the
covariant derivative as a profound analytical characteristic of Euclidean spaces. This insight is
captured beautifully by the Riemann-Christoffel tensor which we will now introduce.
15.15An initial introduction to the Riemann-Christoffel tensor
Until now, we tended to use indices and for the covariant derivatives and
and for the variants. Let us now switch
to the more common choice used in the context of the Riemann-Christoffel tensor, where and are typically used for the covariant
derivative.
Consider the commutator
which, as we know, vanishes for all
.
Of course, that should not prevent us from expanding the covariant derivatives in terms of the
underlying partial derivatives and Christoffel symbols. It is left as an exercise to show that
As expected, the second-order
derivatives of ,
cancelled each other. What is
somewhat surprising -- and, at the same time, critical to the entire analysis -- is that the
first-order derivatives of
also cancelled each other.
Since the commutator
is a tensor and, therefore,
is a tensor for all , we
know from the quotient theorem that the parenthesized expression is a tensor in its own right. It
is known as the Riemann-Christoffel tensor and is denoted by :
With the help of ,
the commutator
is captured concisely by the identity
Since, in a Euclidean space, the commutator
vanishes, i.e.
for all tensors , we
can conclude that all elements of the Riemann-Christoffel tensor are zero, i.e.
Once again, we should point out that although this identity was obtained with relative ease, it is
highly nontrivial and is of great depth. It states that for any coordinate system, the
identity
holds at all points. This is a
profound analytical characterization of a Euclidean space and is a direct consequence of the fact
that a Euclidean space admits affine coordinates.
15.16Exercises
Exercise 15.1Use the inductive approach described in Section 15.4 to show that a reasonable definition for when applied to a tensor is
Exercise 15.2Use the inductive approach described in Section 15.4 to show that a reasonable definition for when applied to a tensor is
Exercise 15.3Suppose that in polar coordinates, the contravariant tensor field is given by
Show that is given by
Explain why it is not surprising that the covariant derivative of a tensor field with constant elements is not zero.
Exercise 15.4Suppose that in polar coordinates, the contravariant tensor is given by
Show that
Explain why this answer makes sense.
Exercise 15.5Denote the (rarely considered) components of the position vector by . Show that
Exercise 15.6Confirm the above relationship in polar, cylindrical, and spherical coordinates.
Exercise 15.7Explain why in Cartesian coordinates the covariant derivative coincides with the partial derivative.
Exercise 15.8Show by a direct application of the definition of the covariant derivative that it is metrinilic with respect to the metric tensors and the Kronecker delta, i.e.
Exercise 15.9Show (or, rather, note) that the product rule applies to the dot product of vector-valued variants.
Exercise 15.10Show that dummy indices in a contraction can exchange their placements "across" the covariant derivative, e.g.
Exercise 15.11Use the approach outlined in Section 15.12.1 to demonstrate the tensor property of , i.e.
Exercise 15.12Use the approach outlined in Section 15.12.1 to demonstrate the tensor property of , i.e.
This should prove to be a very time-consuming, yet worthwhile, exercise.
Exercise 15.13Show that in Cartesian coordinates, the Laplacian is given by
in two dimensions and by
in three dimensions. Are these formulas valid in affine coordinates?
Exercise 15.14Use the fact that the covariant derivatives commute, i.e.
to show that the contravariant derivatives commute, i.e.
and that so do the covariant and the contravariant derivatives, i.e.
Thus, in a Laplacian , the order of the derivatives does not matter, i.e.
Exercise 15.15Show that
Exercise 15.16Confirm the Riemann-Christoffel identity
in polar coordinates. This is a time-consuming exercise aimed at building experience with literal calculations represented by compact indicial equations.
Exercise 15.17Show that the covariant derivatives commute, i.e.
when applied not only to tensors, but to arbitrary variants.
Problem 15.1For a field , formulate an appropriate definition for the second-order directional derivative
along the ray and show that
where are the components of the unit vector that points in the direction of the ray . This problem can be solved relatively easily by introducing affine coordinates. However, it will be more fulfilling and will serve to greatly increase your understanding of covariant differentiation if you solve it in general curvilinear coordinates by leveraging the -derivative, introduced in Section 12.7.5, along the ray .