Weighted Faber Polynomials
- Weighted Faber Polynomials are extensions of classical Faber polynomials that incorporate auxiliary weights to modify conformal-power expansions for domains with corners, cusps, or geometric singularities.
- They enable the construction of asymptotically minimal trial functions in Chebyshev polynomial approximations by damping boundary peaks while preserving leading coefficients.
- These frameworks also bridge to modular forms, quadrature domains, and basis theory in weighted function spaces, revealing deep ties with random-walk recurrences and arithmetic weights.
Searching arXiv for recent and relevant papers on weighted Faber polynomials and closely related Faber-polynomial frameworks. Weighted Faber polynomials are extensions of classical Faber polynomials in which the polynomial part of a conformal-power expansion is modified by an auxiliary weight, or, in modular and weighted-function-space settings, by weight-dependent prefactors, recurrences, or norms. In current usage the term does not denote a single universal construction. Rather, it covers several related frameworks: analytic weights inserted into on Jordan curves, generalized modular polynomials attached to and modular weight data, Faber-transform reconstructions for power-weighted and log-weighted quadrature domains, random-walk-induced recurrences, and generalized -Faber systems in weighted Smirnov spaces (Miña-Díaz et al., 26 Sep 2025, Nakaya, 2023, Graven et al., 4 Sep 2025, Cowal et al., 28 Oct 2025, Bilalov et al., 2019).
1. Classical background and the range of the term
For a Jordan curve with unbounded complement , the classical exterior conformal map
is normalized by and as . The th Faber polynomial 0 is the polynomial part of the Laurent expansion of 1 at infinity; equivalently,
2
where 3 and 4 (Miña-Díaz et al., 26 Sep 2025).
Within this classical framework, a weighted Faber polynomial is obtained by replacing 5 by 6, where 7 is analytic in 8 and satisfies 9. If 0, with 1 analytic in 2 and 3, then the weighted polynomial 4 is the polynomial part of 5. This is the construction developed for Jordan curves with corners and cusps, where unweighted Faber polynomials cease to be asymptotically minimal (Miña-Díaz et al., 26 Sep 2025).
A distinct but related use occurs in the Faber transform literature. For simply connected domains, the exterior Faber transform 6 sends analytic functions on the disk or its complement to analytic functions on the complementary domain, and the corresponding Faber polynomials are 7. In that setting, weighted constructions are often realized not by introducing a new polynomial family, but by applying the standard Faber transform and inverse Faber polynomials to weighted geometric objects such as 8 or 9 (Graven et al., 4 Sep 2025).
This suggests that the unifying feature is not a single formula but a recurrent mechanism: classical Faber expansions are modified so that geometric singularities, modular weights, weighted area forms, or operator-theoretic constraints are absorbed into the polynomial model.
2. Weighted construction on Jordan curves with corners and cusps
The construction used for piecewise Dini-smooth Jordan curves begins from the observation that corners and cusps amplify the boundary values of 0. To suppress these peaks, one fixes 1, chooses 2 analytic in 3 with 4, and defines 5 as the polynomial part of 6. It has degree 7, leading coefficient 8, and integral representation
9
with 0 as above (Miña-Díaz et al., 26 Sep 2025).
The explicit weight is built from the images 1 of the corner points 2. For 3,
4
with branches chosen so that 5. Truncating the Laurent series
6
yields
7
where 8 is chosen so that 9 on 0, and near each corner point 1 one has 2 (Miña-Díaz et al., 26 Sep 2025).
Algebraically,
3
The weighting is therefore a finite linear combination of nearby Faber polynomials. This finite-band structure is crucial: it permits local damping near singular boundary points without changing the leading coefficient or degree (Miña-Díaz et al., 26 Sep 2025).
The analytic control comes from Pommerenke’s Fourier representation. If 4 has bounded secant variation, then for 5,
6
where
7
The weighted polynomials satisfy
8
The factor 9 is small near the corner images 0, exactly where the singular point masses in 1 would otherwise force large boundary values (Miña-Díaz et al., 26 Sep 2025).
3. Asymptotic minimality, Chebyshev polynomials, and corner geometry
The main application of the weighted construction is to the 2th Chebyshev polynomial 3 of a compact set, defined as the unique monic polynomial of degree 4 minimizing the supremum norm. For a piecewise Dini-smooth Jordan curve 5,
6
This extends the smooth-curve result to curves with corners and cusps (Miña-Díaz et al., 26 Sep 2025).
The proof uses the weighted polynomials 7 as trial polynomials. Since 8 has degree 9 and leading coefficient 0, extremality gives
1
The weighted Fourier analysis yields
2
Letting 3 and then 4, and combining this with Szegő’s lower bound
5
produces the limit 6 (Miña-Díaz et al., 26 Sep 2025).
A central misconception addressed by this result is that ordinary Faber polynomials already provide asymptotically minimal trial functions on all sufficiently regular curves. They do so for smooth Dini-smooth curves, where 7, but not in general when corners or cusps are present. At a corner 8 with exterior angle 9, the singular part of 0 contributes a persistent term, and
1
whereas away from the corners,
2
Thus corner singularities obstruct uniform convergence to 3 on 4 (Miña-Díaz et al., 26 Sep 2025).
The same analysis gives new asymptotic norm bounds for unweighted Faber polynomials. If 5 are the corners and
6
then
7
This bound is sharp in several regimes, including convex cases and cases where the maximal 8 is realized by an exterior angle 9. When the maximum is instead governed by 0, as for certain inward corners, the exact value of 1 remains unknown (Miña-Díaz et al., 26 Sep 2025).
4. Modular and arithmetic formulations
In the modular-forms literature, weighted Faber polynomials usually mean weight-dependent polynomials in the Hauptmodul 2, together with explicit modular prefactors. One standard construction writes the canonical basis elements of 3 as
4
where 5, 6 is monic of degree 7, and
8
Here the adjective “weighted” refers to the dependence on the modular weight 9 through the prefactor 00 (Nakaya, 2023).
Nakaya proves that these generalized Faber polynomials admit orthogonal expansions in the Atkin-like polynomial families 01, with coefficients recovered from the Atkin inner product
02
and encoded by normalized extremal quasimodular forms 03. The resulting generating series identify the expansion coefficients with Fourier coefficients of 04 multiplied by explicit powers of 05, 06, and 07 (Nakaya, 2023).
A related but different classification of weakly holomorphic modular forms writes
08
for 09, where 10 and 11 is determined by the weight class modulo 12. In this setting, Kane uses harmonic weak Maass forms and Maass–Poincaré series to derive asymptotics for the coefficients of the shifted Faber polynomials 13, including explicit coefficient asymptotics in terms of the constants 14 and 15 (Kane, 2010).
Further modular reinterpretations emphasize weighting by parameters rather than prefactors. For the Miller basis 16, the zeros of the associated Faber polynomials 17 satisfy linear moment identities
18
so that the modular weight 19 and the Miller index 20 act as linear weights on the zero distribution. After normalization, the moments depend asymptotically only on the ratio 21 (Zilka, 7 Oct 2025).
Another arithmetic use of weighting is renormalization. For cusp forms of large weight 22 with 23, the associated Faber polynomial 24 is rescaled as
25
This renormalized polynomial satisfies
26
coefficientwise, where 27. Consequently the zeros of 28 satisfy 29, which forces the zeros of the underlying modular form to cluster near 30 vertical lines at height approximately 31 (Rudnick, 2023).
5. Faber transforms, weighted quadrature domains, and random-walk recurrences
In the theory of quadrature domains, the weighted setting is formulated through weighted area measures rather than through a separately defined polynomial family. For power weights
32
and the log-weighted case 33, reconstruction proceeds by the classical Faber transform and inverse Faber polynomials. The decisive objects are 34 in the power-weighted case and 35 in the log-weighted case. The paper explicitly states that it does not introduce a separate family of weighted Faber polynomials; instead, the standard Faber transform is applied to these weighted geometric quantities (Graven et al., 4 Sep 2025).
For simply connected power-weighted quadrature domains, one obtains characterizations such as
36
in the unbounded case, where 37 is the inverse Faber polynomial and 38 is recovered by an inverse Faber transform. More generally, 39 if and only if 40 extends to a rational function. For log-weighted quadrature domains, the corresponding criterion is rationality of 41, leading to explicit representations
42
according to whether the domain is bounded or unbounded (Graven et al., 4 Sep 2025).
A different notion of weighting appears in the random-walk construction of polynomial recurrences. Here one fixes a probability vector 43 with 44, 45, and mean-zero condition
46
The associated polynomial family 47 satisfies
48
equivalently
49
The same coefficients define the rational exterior map
50
and the paper shows that the corresponding Faber polynomials satisfy the same recurrence. In this sense the weights 51 are built into both the geometry of the domain and the Faber family itself (Cowal et al., 28 Oct 2025).
This random-walk weighting has sharp analytic consequences. If 52 is the enclosed radially convex domain and
53
then
54
Moreover 55 can be approximated on 56 by a polynomial of degree 57, and these filters lead to arbitrary-order dynamic momentum power iteration methods for certain non-symmetric matrices (Cowal et al., 28 Oct 2025).
6. Weighted Smirnov spaces and basis theory
A further development treats generalized Faber polynomials as bases in weighted analytic function spaces on regular curves. Let 58 be a rectifiable Jordan curve, 59 its bounded interior, and 60 its exterior. If 61 is the exterior conformal map, the generalized 62-Faber polynomials 63 are defined as the principal polynomial part of
64
If 65 is the interior conformal map normalized by 66, the interior generalized 67-Faber polynomials 68 arise from the principal part of
69
These constructions recover the usual monomials on the unit circle (Bilalov et al., 2019).
The function-space setting is the weighted Smirnov spaces 70 and 71, where the boundary norm is taken in 72. The decisive hypothesis is the Muckenhoupt condition 73, together with corresponding pullback conditions on the unit circle. Under these assumptions, conformal transplantation operators 74 map weighted Hardy bases on the circle to the generalized Faber systems on 75 (Bilalov et al., 2019).
The main basis theorem states that if 76 is regular, 77, 78, and
79
then 80 is a basis of 81 and 82 is a basis of 83. The same paper establishes basis properties for a double system
84
with complex-valued coefficients 85, 86, in weighted Lebesgue spaces 87, using a Riemann–Hilbert analysis and boundedness of the Cauchy singular integral operator on 88 (Bilalov et al., 2019).
This branch of the theory makes the role of weighting especially explicit. The weights are neither auxiliary damping factors nor modular prefactors, but structural hypotheses on the ambient Banach space. The generalized Faber systems are shown to be Schauder bases, not orthogonal or Riesz bases, and the hypotheses 89, regularity of 90, and Muckenhoupt-type conditions are essential (Bilalov et al., 2019).