§ 3. Integration of Differential Forms
205
invertible matrices and, contrary to some shorter ones, requiring little integral
calculations.
Set E = R
n and let L(E) be the set of continuous functions with compact
support in E. We will not differentiate between a matrix g ∈ G and the linear
map x → g(x) corresponding to it on E and for which g is the matrix with
respect to the canonical basis (e i ) : the formulas
g (e i ) = g
j
i e j , g(x)
i = g
i
j x
j ,
(10.5)
where the g(x)
i are the canonical coordinates of the vector g(x), in conformity
with tensor conventions, then follow. The Jacobian of y = g(x) with respect
to x is then equal to det(g), so that it suffices to prove that for all f ∈ L(E),
f [g(x)] dx = | det(g)|
−1
f (x)dx ,
(10.6)
where integration is over all of E.
Lemma a. Let μ be a Radon measure on R
n . Assume μ to be invariant
under translations. Then μ is proportional to the Lebesgue measure m.
Note first that, for any f, g ∈ L(E),the function (x, y) → f (x)g(y − x)
has compact support in E × E, since if f and g are zero outside the compact
sets M and N , then it can be = 0 only if (x, y) belongs to the compact
set M × (M + N ). The most elementary Lebesgue-Fubini theorem can then
be applied to this functions, and in the following, formal calculations are
possible. Having said this,
m(f )μ(g) =
f (x)g(y)dm(x)dμ(y) =
f (x)g(y − x)dm(x)dμ(y)
by the change of variable y
→ y − x in the integration with respect to μ ; the
change of variable x → x + y in the integration with respect to m then gives
m(f )μ(g) =
f (x + y)g(−x)dm(x)dμ(y) =
=
g(−x)dm(x)
f (x + y)dμ(y) =
= μ(f )
g(−x)dm(x) .
linear form, this category contains “ exceptional ” groups whose construction is
far less obvious.
For a more elementary but far less instructive proof, see for example Rudin,
Real and Complex Analysis, end of Chapter 8, where a proof of the complete result analogous to ours can also be found, as well as more subtle results from the
theory of integration. Dieudonn´ e, El´ ements d’analyse (vol. 3, XVI.22) uses the
fact that, locally, all diffeomorphisms decompose into simpler maps (changing
one variable at a time) for which the formula is more or less obvious, thereby
avoiding all approximation calculations presented in parts (ii) and (iii) below.
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