In view of Definition 7.1 both formulae in the above
statement are equivalent and so it is enough to prove the second one.
In case , we have and
formula (7.4) holds because
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We prove (7.4) by induction on the dimension
. In case , we have and so the verification reduces to the above one.
Hence, we assume
and .
For short, we write .
Choose any vector of norm and such that . Performing
an orientation-preserving orthonormal change of variables, we may assume . We have
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With Stokes’ theorem, we obtain
| (7.5) |
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where the sum is over the facets of , and we equip each
facet with the induced orientation.
For each facet of , we let
be the differential form of order
obtained by contracting with the vector .
The form is invariant under
translations and its restriction
to the linear hyperplane coincides with .
Therefore,
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Let denote the Lebesgue measure on .
We can verify that coincides with the measure
induced by integration of along .
Let be the function defined as
. Then for all . Hence,
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Applying the inductive hypothesis to and the function
we obtain
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Each aggregate is contained in a unique
and it coincides with .
Therefore, we can transform the right-hand side of the last equality in
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where, for simplicity, we have set
whenever .
Plugging the resulting expression into (7.5) and exchanging the
summations on and ,
we obtain that is equal to
| (7.6) |
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Specialising this identity to , we readily derive
formula (7.4) from Definition 7.1 of the
coefficients .
For the last statement,
observe that the values can be
arbitrarily chosen.
Hence, the coefficients
are uniquely determined from the linear system
obtained from the identity (7.4)
for enough functions .
∎