The infinite-order scaled kernel with finite range has an
interesting property of its own, namely that there is a certain similarity
between the kernel and its derivatives. Every finite-order derivative of
the infinite-order scaled kernel function is made out of a certain number
of rescaled copies of the kernel itself, concatenated together. This is a
consequence of the fact that there is a certain relation between the first
derivative of the order-
scaled kernel and the order-
scaled
kernel. After this relation is established it can be iterated, resulting
in similar relations for the higher-order derivatives. This property
allows one to establish the existence of the
limits of all
the finite-order derivatives, and thus to prove that the infinite-order
scaled kernel is differentiable to all orders.
One can derive the relation between the first derivative of the order-
scaled kernel and the order-
scaled kernel as follows. If we start
with the Fourier expansion of the order-
scaled kernel, written in the
form
we may differentiate once term-by-term and thus obtain
noting that for sufficiently large all the series involved are
absolutely and uniformly convergent. By means of simple trigonometric
identities the product of two sines within brackets can now be written as
so that we have for the derivative of the kernel
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If we now define
, we may write
where we made , which implies
. We see therefore that in
this way we recover in the right-hand side the expression of the scaled
kernel of order
with range
, so that we have, writing
back in terms of
,
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Since we already know that the limit of the right-hand side
exists, this establishes that the
limit of the left-hand
exists as well. Taking the
limit we end up with the
infinite-order scaled kernel on both sides, so that we have the relation
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It follows therefore, as expected, that the infinite-order scaled kernel
function is differentiable. Note that, since the kernels on the right-hand
side have range , and their points of application are distant
from each other by exactly
, each one is just outside the
support of the other. Therefore, the derivative is given by the
concatenation of two graphs just like the kernel itself, but with the
support scaled down from
to
, with the amplitude
scaled up by the factor
, and with the sign of one of them
inverted. This is shown in Figure 15, containing a superposition
of the kernel and its rescaled first derivative.
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One may now take one more derivative of the expression for the derivative
of the order- scaled kernel, thus obtaining an expression for the
corresponding second derivative. After that one may use again the relation
for the first derivative, thus iterating that relation, in order to obtain
Once more the known existence of the limit of the right-hand
side establishes the existence of the
limit of the left-hand
side, and therefore that the infinite-order scaled kernel is twice
differentiable. Taking the limit on both sides we get
We now have four copies of the graph of the kernel, with range scaled down
to and amplitude scaled up by
, each one
outside the supports of the others, distributed in a regular way within
the interval of length
around
. This is shown in
Figure 16, containing a superposition of the rescaled first and
second derivatives of the kernel. As one can see in the subsequent
Figures 17 and 18, the same type of relationship is also
true for all the higher-order derivatives. This is so because we can
iterate this relation indefinitely, so that any finite-order derivative of
can be written as a finite linear
combination of
itself, with a
rescaled
and a rescaled amplitude. Observe that this
constitutes independent proof that the infinite-order scaled kernel is a
function.