Put , the detail space of the multiresolution analysis. The Meyer-Mallat theorem gives a function whose integer translates form an orthonormal basis of . Dilations then give an orthonormal basis of each , and the density and trivial-intersection axioms imply
For an explicit filter construction, write the scaling refinement equation . With a quadrature mirror filter one may take and . A harmless constant sign or integer translation gives an equivalent orthonormal wavelet.
The density axiom and continuity of the Fourier transform at zero imply . Here is a proof that avoids assuming a normalization of the integral. Choose a nonzero whose Fourier transform has bounded support. The MRA projection Fourier identity, with no aliasing once is sufficiently large, is
Since , its Fourier transform is continuous and bounded, so this tends to . Density and nesting give in . Thus , in particular it is nonzero. Evaluating the scaling refinement equation in frequency at zero now gives
which is stronger than the requested absolute-value equality. Multiplying the scaling function by a constant of modulus one normalizes its integral to one without changing .
Use the Fourier transform convention . Nesting and the orthonormal basis of give the scaling refinement equation
Here . Compact support makes these inner products zero for all but finitely many , so is a trigonometric polynomial. Expanding the orthogonality of the integer translates of in the orthonormal basis of yields
Consequently
This holds everywhere because is continuous. The invoked properties are nesting, dyadic dilation, orthonormal integer translates, and compact support; mere finite-energy refinement would not imply the quadrature mirror filter identity.
At zero, the partial products are . Their assumed convergence and force and . Uniform convergence on compact sets makes continuous. The identity with gives with squared norm . Define by the inverse Fourier transform in . The Plancherel theorem and the other given integral identities give
Define as the closed span of . These functions form an orthonormal basis of , and dyadic dilation gives the scale axiom. Shifting the infinite product gives
so the finite Fourier series of gives a scaling refinement equation and . The coarse-scale projection argument of part 1(b) proves the trivial-intersection axiom.
For density, take a function with bounded Fourier support. The MRA projection Fourier identity gives, for large ,
Uniform convergence of to one on that support proves the limit. Since is an orthogonal projection, . Such functions are dense in , giving
Thus all the multiresolution analysis axioms hold. Under the strong convergence and orthogonality assumptions supplied here, the additional nonvanishing condition is not needed in this last verification; it is useful when establishing those assumptions from a filter.
Normalize , as in the displayed product convention. Iterating the scaling refinement equation gives . The finite-product identity
has the value one at zero by continuity. Therefore
Write . Since , we have . For , take . The first factors are bounded by . For the remaining factors, the trigonometric polynomial satisfies on , hence
Using gives
The strict hypothesis permits with . The given Fourier-decay criterion proves uniform Hölder regularity of exponent . For the ordinary increment definition of Hölder continuity, take : Fourier inversion and directly give the required bound. If , “Lipschitz-” must mean higher-order Hölder space regularity; an ordinary increment bound of exponent greater than one forces a function to be constant. An unnormalized scaling function contributes its constant phase to the product formula.