Differentiation Under the Integral Sign
Another question about “partial integrals” is when we can interchange integral and differential operations. Just like we found for continuity of partial integrals, this involves interchanging two limit processes.
Specifically, let’s again assume that is a function on the rectangle
, and that
is of bounded variation on
and that the integral
exists for every . Further, assume that the partial derivative
exists and is continuous throughout
. Then the derivative of
exists and is given by
Similar results hold where and
are vector values, and where derivatives in terms of
are replaced outside the integral by partial derivatives in terms of its components.
So, if and
we can calculate the difference quotient:
where is some number between
and
that exists by the differential mean value theorem. Now to find the derivative, we take the limit of the difference quotient
as we take to approach
, the number
gets squeezed towards
as well. Since we assumed
to be continuous, the limit in the integrand will equal
, as asserted.

Doesn’t the differential MVT only imply that for each x there is a \xi(x) between y and y_0 such that…? It looks here that you’re applying the MVT to F(y) if we already know what F’(y) is, but I may be missing something.
Nick, I’m using the mean value theorem here for
, not for
. Remember that the partial derivative
is just like a regular derivative if we hold
fixed, and so the differential mean value theorem applies.
Yes, but for each
the value
between
and
may be different. Right?
Oh, yes.
depends on
, but when we take the limit it gets squeezed against
at every point.
As somebody trained in an engineering school, the temptation is to consider this obvious and skip right to the end without justification. It was enjoyable to see how the mean value theorem could be used to avoid such a handwaving argument.
Continuity of f(x,y) when y is varied appears to be required. I am guessing this is a requirement of the mean value theorem? Is there also a continuity requirement for x variation of f?
To extend this argument to the case where the boundaries are functions of y (
, and
), I suppose you’d decompose the integral into sums. How to procede from there is not entirely clear to me.
Continuity with respect to
is required in order to define
in the first place. As for continuity in
, I’ll put it to you as a question: can you derive it from the assumption that
is continuous?
Thanks. I think I see what you are saying. Continuity in a neighbourhood is required for the
, which will mean that
also exists.
Oh,
may well fail to exist even if
is continuous.
Even when
exists? You require more than continuity for that (like the example function in equation (1))
http://books.google.ca/books?id=jlQnThDV41UC&lpg=PP1&dq=functional%20analysis%20nagy&pg=PA4#v=onepage&q=&f=false
That function was continuous but nowhere differentiable here (graphing that function was about as far as I could ever get in that book;)
Just go back to the definition of continuity and go from there.
As for Riesz/Nagy.. I taught myself French math reading that one in both languages. Good times. Not the most readable treatment, though.
[...] Partial Integrals A neat little variation on differentiating an integral from last time combines it with the fundamental theorem of calculus. It’s especially [...]
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John – I have a rather technical issue with your proof. You assume that
is a function of x. It is not known to be a continuous function of x, and the mean value theorem only tells you that it exists, without giving you any properties of the function. Therefore, the integral
isn’t even well defined by this argument (although, I’ve no doubt that
will indeed be measurable).
I think you only need to show that $\latex (f(x,y)-f(x,y_0))/(y-y_0)\to D_2 (f(x,y_0)$ uniformly, which the MVT does prove, and this limit can be taken inside the integral.
Actually, maybe I spoke too soon. You already know that
is continuous, because it is equal to the finite difference
. We don’t really care what
is, and could be unmeasurable for all it matters.