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This appendix contains outline proofs and derivations for the theorems and formulas given in early part of Chapter: The Scaling Function and Scaling Coefficients, Wavelet and Wavelet Coefficients . They are not intended to be completeor formal, but they should be sufficient to understand the ideas behind why a result is true and to give some insight into its interpretation aswell as to indicate assumptions and restrictions.
Proof 1 The conditions given by [link] and [link] can be derived by integrating both sides of
and making the change of variables
and noting the integral is independent of translation which gives
With no further requirements other than to allow the sum and integral interchange and , this gives [link] as
and for gives [link] . Note this does not assume orthogonality nor any specific normalization of and does not even assume is an integer.
This is the most basic necessary condition for the existence of and it has the fewest assumptions or restrictions.
Proof 2 The conditions in [link] and [link] are a down-sampled orthogonality of translates by of the coefficients which results from the orthogonality of translates of the scaling function given by
in [link] . The basic scaling equation [link] is substituted for both functions in [link] giving
which, after reordering and a change of variable , gives
Using the orthogonality in [link] gives our result
in [link] and [link] . This result requires the orthogonality condition [link] , must be an integer, and any non-zero normalization may be used.
Proof 3 (Corollary 2) The result that
in [link] or, more generally
is obtained by breaking [link] for into the sum of the even and odd coefficients.
Next we use [link] and sum over to give
which we then split into even and odd sums and reorder to give:
Solving [link] and [link] simultaneously gives and our result [link] or [link] for .
If the same approach is taken with [link] and [link] for , we have
which, in terms of the partial sums , is
Using the orthogonality condition [link] as was done in [link] and [link] gives
Equation [link] and [link] are simultaneously true if and only if . This process is valid for any integer and any non-zero normalization.
Proof 3 If the support of is , from the basic recursion equation with support of assumed as we have
where the support of the right hand side of [link] is . Since the support of both sides of [link] must be the same, the limits on the sum, or, the limits on the indices of the non zero are such that and , therefore, the support of is .
Proof 4 First define the autocorrelation function
and the power spectrum
which after changing variables, , and reordering operations gives
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