The Exterior Green Function of the Mandelbrot Set: Conformal Construction and Quantitative Escape-Rate Approximation ()
1. Introduction
The quadratic family
introduced formally in Definition 3.1, occupies a central position in one-dimensional holomorphic dynamics. For a fixed parameter
, its dynamical-plane structure is encoded by the filled Julia set
, the Julia set
, and the basin of infinity
. Its parameter-space organization is governed by the Mandelbrot set
(1)
The formal definition is given in Definition 3.3. The critical orbit
therefore determines whether the parameter belongs to
or to its complement.
In the classical theory developed by Douady and Hubbard, the exterior
admits a normalized conformal uniformization
(2)
Under the uniformization (2), the associated parameter Green function is represented by
(3)
The representation (3), together with the classical properties of
, yields the harmonicity and strict positivity of
on
, its continuous extension by zero on
, and its normalized logarithmic growth
(4)
The boundary condition and the growth condition (4) enter the classical uniqueness characterization of
as the normalized exterior Green function with pole at infinity. The same conformal coordinate determines the classical parameter equipotentials and external rays. These facts are standard consequences of classical exterior uniformization and logarithmic potential theory. They are recalled here to establish the analytic framework and normalization required for the subsequent quantitative analysis; see [1]-[5]. The relationship between the dynamical-plane and parameter-plane normalizations is likewise classical. Let
denote the dynamical Green function of
. Its functional equation is
(5)
Applying (5) at
, together with
, gives
(6)
Combining (3) and (6) gives the complete normalization identity
(7)
The classical identity (7) provides the bridge between critical orbit escape and the parameter Böttcher potential. The representation of
by the parameter Böttcher map, its standard potential-theoretic properties, its uniqueness characterization, and the preceding dynamical–parameter identity are not claimed as new results. They are included to provide a self-contained structural setting and to establish the precise normalization used throughout the paper.
For the critical orbit
(8)
consider the finite escape-rate approximants
(9)
The quantitative escape-rate estimate governing the approximants in (9) was established in the author’s earlier work [6]. Accordingly, the estimate considered in isolation is not claimed as a new result of the present paper.
For completeness, the present manuscript gives a self-contained telescoping derivation directly from the critical orbit recurrence in (8). More importantly, the present manuscript identifies the parameter-plane conformal meaning of the estimate through the classical normalization identity (7). Through the identification (7), the normalized finite critical orbit quantities
(10)
become quantitative approximations to the parameter Böttcher potential. Once the critical orbit has entered a prescribed escape region, Theorem 8.1 gives an explicit estimate of the form
(11)
In (11), the constant
is independent of
. Thus, through the conformal interpretation developed here, the previously established escape-rate estimate becomes an explicit approximation result for the exterior Green function of the Mandelbrot set. The pointwise estimate (11) admits a uniform compact-subset consequence. The present paper also obtains uniform exponential convergence on every compact subset of
. More precisely, if
is compact, then Corollary 8.4 provides common constants
and
such that
(12)
The compact-uniform estimate (12) clarifies why a common finite iteration depth can approximate
reliably on parameter regions lying a positive distance from
. It also identifies the boundary as the region in which no global common escape time should be expected.
The numerical methodology is formulated to preserve the distinction between fixed-index approximation and parameter-dependent escape detection. For a prescribed index
, the fixed-index field is
(13)
This quantity uses the same iteration index for every parameter. By contrast, the variable-time first-escape estimator is
(14)
where
is the first index, not exceeding the iteration budget
, at which the critical orbit crosses the chosen escape radius. The estimators in (13) and (14) coincide only when
. They are therefore kept notationally and computationally distinct. For every parameter whose escape is detected, the first-escape estimator is accompanied by the explicit pointwise certificate
(15)
The certificate (15) applies only when escape is detected and the stated admissibility condition on the escape radius is satisfied. If escape is not detected within the prescribed iteration budget, the parameter is placed in a finite-time unresolved mask. This numerical outcome records only the failure to detect escape and does not certify membership in
. The corresponding dark regions in the figures must therefore not be interpreted as rigorous numerical representations of the Mandelbrot set.
The convergence visualization similarly distinguishes the exact Green function from a certified numerical reference. If
is a first-escape reference computed using a large reference radius and
(16)
then the triangle inequality gives
(17)
Here
is the bound supplied by Theorem 8.1. The right-hand side of (17) is the certified comparison bound represented by the dotted curves in the convergence Figure 5.
The exterior conformal representation also gives the identity for every positive equipotential
(18)
The present paper proves that the family of equipotentials varies continuously in the Hausdorff metric over every compact positive level range. More precisely, Theorem 9.1 shows that if
,
, and
, then
(19)
The convergence in (19) concerns the exact equipotentials of
. The numerical level curves displayed later are finite-resolution illustrations of the theorem and are not used in its proof.
The computed exterior-geometry figure also uses a truncated approximation to the Böttcher logarithm in order to visualize numerical external-angle fields and parameter-ray segments. These objects are included only as finite-resolution approximations. No global branch-certified error estimate for
is claimed, and the extracted numerical ray components are not identified with exact external rays.
The contributions developed in the present paper may therefore be summarized as follows:
(i) A self-contained telescoping derivation of the previously established quantitative escape-rate estimate;
(ii) An explicit interpretation of that estimate as an approximation to the parameter Böttcher potential
;
(iii) Uniform exponential convergence of the normalized finite critical orbit approximants on compact subsets of
;
(iv) A precise distinction between fixed-index approximation and variable-time first-escape estimation, including a pointwise error certificate for detected escaping parameters;
(v) A certified comparison bound for the discrepancy between fixed-index approximants and the numerical first-escape reference;
(vi) Hausdorff continuity of the exact equipotentials over compact positive level ranges;
(vii) Finite-resolution numerical procedures whose notation and normalization are consistent with the analytic quantities being approximated.
The emphasis of the present article therefore differs from that of the author’s earlier work [6]. The earlier paper developed the effective quantitative behaviour of regularized critical orbit escape. The present paper places that estimate within the classical exterior conformal geometry of the Mandelbrot set, supplies the telescoping derivation for self-containment, derives the compact-uniform consequence, formulates the certified first-escape comparison, and establishes the positive-level equipotential-stability result. Accordingly, the contributions of the present article lie in the quantitative–conformal interpretation, its compact-uniform consequence, the certified formulation of the numerical approximations, and the Hausdorff stability analysis. The classical construction of the parameter Green function, its standard potential-theoretic properties, its uniqueness characterization, the dynamical–parameter normalization, and the escape-rate estimate considered independently are not claimed as new results.
The paper is organized as follows. Section 2 reviews the relevant literature and places the present work in its mathematical context. Section 3 introduces the definitions and normalizations used throughout the paper. Section 4 recalls the classical dynamical Böttcher coordinate, its holomorphic dependence near infinity, and the Douady–Hubbard parameter uniformization, summarized schematically in Figure 1. Section 5 records the classical exterior conformal representation of the parameter Green function and derives its standard potential-theoretic properties. Section 6 gives, for completeness, a direct maximum-principle proof of the classical uniqueness characterization. Section 7 recalls the exact conformal description of equipotentials and external rays. Section 8 gives the self-contained telescoping derivation, establishes the quantitative–conformal interpretation, derives uniform exponential convergence on compact exterior parameter sets, and introduces the numerical procedures used in Figures 2-5. Section 9 proves Hausdorff continuity of equipotentials over compact positive level ranges, illustrated in Figure 6. Section 10 explains the relation between the present conformal interpretation and the author’s earlier quantitative study. Section 11 records the limitations of the present analysis, and Section 12 formulates the proposed directions for future research. The paper concludes in Section 13.
2. Literature Review and Mathematical Context
The modern study of quadratic complex dynamics is rooted in the work of Douady and Hubbard, who developed the foundational theory of polynomial-like mappings, external uniformization, and the parameter-space description of the Mandelbrot set [2] [3]. In their framework, the Mandelbrot set appears as the connectedness locus for the quadratic family, while its complement is naturally described by a Green function with pole at infinity. Earlier potential-theoretic foundations of polynomial iteration, including invariant sets and capacity, go back to Brolin’s work [7].
A standard and geometrically transparent account of these ideas is given by Milnor [5], who emphasizes the role of critical orbits, Julia sets, Böttcher coordinates, and external rays in one-dimensional holomorphic dynamics. Closely related presentations appear in Carleson and Gamelin [1] and in Beardon’s classical treatment of iteration theory [8]. For broader analytic and geometric background, including Teichmüller-theoretic aspects and the global organization of parameter space, one may also consult Hubbard [4].
From the standpoint of analysis, the Green function of
belongs to classical logarithmic potential theory. Its basic properties—harmonicity on the complement, vanishing on the compact set, and logarithmic growth at infinity—fit naturally into the theory of harmonic and subharmonic functions, planar Green functions, Dirichlet problems, and conformal mapping. Useful background for these topics may be found in Ransford [9] and in Axler, Bourdon, and Ramey [10]. In parameter spaces of rational maps, potential-theoretic and Green-function ideas also underlie bifurcation currents and Lyapunov-exponent methods, as developed for example by DeMarco [11] and Dujardin–Favre [12]. For Green functions in varying polynomial families, see also Favre–Gauthier [13].
Recent developments show that the geometry of the Mandelbrot set and of related parameter spaces continues to evolve in several active directions. These include renormalization and local-connectivity phenomena associated with the Mandelbrot set and the MLC programme [14], self-similarity near Siegel parameters and pacman renormalization [15], positive-area phenomena for quadratic Julia sets [16], continuity and limiting behaviour for Julia sets and invariant external rays [17], richer parameter-space structures in cubic and parabolic settings [18], and Mandelbrot-type analogues in broader polynomial and transcendental families [19] [20]. In this broader context, the present paper remains within the classical quadratic setting, but its emphasis lies at the intersection of exterior conformal uniformization, logarithmic potential theory, and the structural interpretation of escape-rate regularization.
The present article should be read together with [6]. In that work, the principal object was the regularized critical orbit escape-rate function
(20)
The function in (20) was studied as a quantitatively tractable observable of escape. The present article is a geometric companion: the earlier paper studies the effective quantitative behaviour of regularized escape, whereas the present paper identifies the structural analytic object underlying that theory and proves a bridge theorem between the two viewpoints.
3. Preliminaries and Normalizations
Definition 3.1 (Quadratic Family). For
, define
(21)
Its
-fold iterate is denoted by
.
Definition 3.2 (Filled Julia set, Julia set, and Basin of Infinity [1], Chapter VI and [5] Chapter 8). For fixed
, the filled Julia set of
is
(22)
the Julia set is
(23)
and the basin of infinity is
(24)
Definition 3.3 (Mandelbrot Set, [2] [3] and [5], Chapter 14). The Mandelbrot set is
(25)
Equivalently,
if and only if the critical orbit of
is bounded.
Definition 3.4 (Positive Logarithm). For
, define
(26)
For
, the definition is equivalently written as
(27)
Definition 3.5 (Dynamical Green Function) ([1] Chapter VI and [5] Chapter 8). For each
, the dynamical Green function of
is
(28)
Here
is defined in (26). It is a classical theorem that the limit in (28) exists for every
.
Definition 3.6 (Finite Critical Orbit Escape Rate Approximants). For
, let
(29)
For
, define
(30)
The quantities defined in (30) are the finite critical orbit regularizations used later in Theorem 8.1 and in the numerical schemes of Section 8.1. The recurrence (29) is used in the telescoping argument of Theorem 8.1.
By the defining limit (28), evaluated at
, and the definition in (30), one has
(31)
Remark 3.7 (Classical Properties of gc). It is classical that for every
, the function
defined in (28) exists on all of
, vanishes precisely on
, is harmonic on
, and satisfies the functional equation
(32)
See [1], Chapter VI, or [5], Chapter 8.
Definition 3.8 (Logarithmic Pole at Infinity). Let
be an unbounded domain whose complement is compact. A real-valued function
on
has a logarithmic pole at infinity with the normalization used in this paper if
(33)
Equivalently,
as
. This is the normalization used for the Green function of
.
Definition 3.9 (Parameter Green Function, Dynamical Normalization). For
, define initially
(34)
The dynamical normalization (34) will be identified in Proposition 5.3 with the exterior conformal formula introduced in Definition 5.1.
Remark 3.10 (Normalization Bridge). The normalization in Definition 3.9 is naturally compatible with the parameter-plane Böttcher map introduced in Notation 3.11. It differs by a factor 2 from the critical-point normalization
used in [6]. Since
, the functional Equation (32) gives
(35)
The identity (35) shows that the two normalizations encode the same escape geometry, but they are adapted to different viewpoints:
is suited to critical orbit regularization, whereas
is suited to parameter-plane exterior uniformization.
Notation 3.11 (Parameter Böttcher Map). Throughout the paper,
denotes the conformal map
normalized by
(36)
This map is recalled more formally in Theorem 4.8.
Definition 3.12 (Hausdorff Distance). Let
be nonempty compact sets. Their Hausdorff distance is
(37)
The metric (37) is used in Theorem 9.1 to measure stability of equipotentials.
Notation 3.13 (Exterior Circles and Compact Annuli). For
, write
(38)
For
, write
(39)
Remark 3.14 (Compact Subsets of the Exterior). If
is a nonempty compact set, then
lies at a positive Euclidean distance from
. Equivalently,
(40)
This positive separation does not by itself provide a common escape time for all parameters in
. In the proof of Corollary 8.4, continuity of the critical orbit polynomials from Notation 4.4, together with a finite-subcover argument, is used to construct the common entry index
defined in (129).
4. Classical Exterior Uniformization and the Parameter Böttcher Map
We recall the classical Böttcher coordinate near infinity and the corresponding parameter-space uniformization. These results provide the conformal input used in Definition 5.1 and Proposition 5.3.
Theorem 4.1 (Böttcher Coordinate near Infinity) Fix
. There exist a neighbourhood
of infinity, a number
, and a unique conformal map
such that
(41)
whenever
, and
as
. Moreover,
(42)
Proof. This is the classical Böttcher theorem applied to the super-attracting fixed point at infinity of
; see [8], Chapter 3, [1], Chapter VI, and [5], Chapter 8. For
sufficiently large,
(43)
The factorization (43) shows that the correction term
is small near infinity. The standard Böttcher iteration construction produces a holomorphic function
, defined in an exterior neighbourhood of infinity, satisfying (41) and
as (
). The stronger normalization
determines
uniquely.
For completeness, the construction can be written locally in the form
(44)
In the representation (44), the neighbourhood of infinity is chosen so that
(45)
Here,
denotes the branch satisfying
. Condition (45) ensures that the logarithmic terms are evaluated in a common neighbourhood of 1. The series in (44) converges locally uniformly near infinity and therefore defines a holomorphic function there. Finally, by the defining limit (28), the dynamical Green function is obtained from the normalized asymptotic growth of
. For
, the orbit tends to infinity, and the Böttcher functional equation gives
(46)
Taking absolute values and logarithms in (46) gives
(47)
Since
as (
), the difference between
and
tends to zero. Combining the defining limit (28) with (47) therefore proves the identity (42). □
The next result explains why the critical value
is the correct parameter-plane point at which to evaluate the dynamical Böttcher coordinate.
Proposition 4.2. If
, then both 0 and
belong to the basin of infinity
from Definition 3.2. Moreover, the critical orbit eventually enters every sufficiently small neighbourhood of infinity. In particular, there exists an integer
such that
, where
is the exterior neighbourhood on which the local Böttcher coordinate in Theorem 4.1 is defined.
Proof. Assume that
. By Definition 3.3, the critical orbit
is unbounded.
For a polynomial, an unbounded forward orbit necessarily tends to infinity. Indeed, the reverse triangle inequality gives
(48)
The estimate (48) shows that, once an orbit enters a sufficiently large exterior region, its modulus continues to increase. Consequently,
as
. It follows that the critical point 0 does not belong to the filled Julia set
. Hence
(49)
Since
, the forward orbit of
is the tail of the critical orbit:
(50)
Therefore,
(51)
The limit (51) proves that the critical value
also belongs to
. Finally, because
, the critical orbit eventually enters the exterior neighbourhood
supplied by Theorem 4.1. Hence there exists
such that
. □
Remark 4.3. Proposition 4.2 shows that the critical value
belongs to the basin of infinity and that its forward orbit eventually enters the exterior neighbourhood
. It does not, however, imply that the critical value
itself lies in the particular neighbourhood
on which the local coordinate of Theorem 4.1 is initially defined. Moreover, Theorem 4.1 is a fixed-parameter statement and does not by itself establish holomorphic dependence of the Böttcher coordinate on
. These two issues are addressed by the family construction near infinity and by the classical Douady–Hubbard parameter uniformization stated below.
Notation 4.4 (Critical orbit Polynomials). For
, define
(52)
Equivalently, the recurrence (52) gives
(53)
For every
, the function
is a polynomial in
. In particular,
(54)
If
, then
as
by Proposition 4.2.
Definition 4.5 (Local Parameter Böttcher Branch). Let
be a simply connected parameter domain. Suppose that
and
are such that
for
, where
.
Let
be the jointly holomorphic Böttcher coordinate supplied by Proposition 4.7. A local parameter Böttcher branch on
is a holomorphic function
, satisfying
(55)
Equation (55) is understood with the root branch selected compatibly with the normalization (36).
Notation 4.6 (Normalized Critical orbit Root Approximants). On a simply connected parameter domain
where compatible holomorphic roots have been selected, write
(56)
The root expressions in (56) are understood locally through compatible holomorphic branches. This notation is local until the global parameter Böttcher map has been established by Theorem 4.8.
The following standard family version of the local Böttcher construction is included with proof in the notation required below; compare [1], Chapter VI and [5], Chapter 8.
Proposition 4.7 (Joint Holomorphic Dependence near Infinity). Let
be a relatively compact parameter domain. Then there exists
and a jointly holomorphic function
such that, for every
, the map
is the normalized Böttcher coordinate of
on
. In particular,
whenever
, and
as
, locally uniformly with respect to
.
Proof. Since
is relatively compact, its closure
is compact. Hence there exists
such that
for every
, and therefore for every
. Choose
sufficiently large that
and
. Then, for
and
,
(57)
Estimate (57) shows that the common exterior region
is forward invariant under
for every
. Consequently, for
and
, define
. By (57),
(58)
For
and
, define
(59)
where
denotes the branch of the logarithm defined near 1 and normalized by
.
Since
, the orbit estimate (58) and the choice
give
(60)
Condition (60) ensures that every logarithmic term in (59) is evaluated in a common neighbourhood of 1. Moreover, the forward-invariance estimate (57) implies rapid growth of the iterates in the common exterior region. Consequently, the series in (59) converges locally uniformly on
. Each summand is jointly holomorphic in
, and therefore
is jointly holomorphic.
Define
(61)
Since
is jointly holomorphic, the definition (61) shows that
is jointly holomorphic.
Separating the first term of the series (59) and using the recurrence
gives
(62)
By (61),
. Since the series (59) tends locally uniformly to zero as
, one obtains
(63)
locally uniformly with respect to
.
For each fixed
, the functional Equation (62) and the normalization (63), together with uniqueness in Theorem 4.1, show that
is the normalized local Böttcher coordinate of
. □
Theorem 4.8 (Douady--Hubbard Parameter Uniformization; classical, see [2] [3], [4] Chapter 13, and [5] Chapter 14). There exists a unique conformal isomorphism
satisfying the normalization
as
. Let
. Then there exist a simply connected neighbourhood
of
, an integer
, and a number
such that
,
where
is the critical orbit polynomial defined in Notation 4.4. Moreover, if
is the jointly holomorphic exterior Böttcher coordinate supplied by Proposition 4.7, then
(64)
The relation (64) identifies the restriction
with the local parameter Böttcher branch of Definition 4.5 that is compatible with the normalization at infinity. In particular,
is holomorphic and nonvanishing on
, and
(65)
Proof. The existence of the conformal isomorphism
, with the normalization (36), is the classical Douady–Hubbard external uniformization theorem for the quadratic connectedness locus.
We verify the stated local representation in the notation used in this paper. Fix
. By Proposition 4.2, and the critical orbit representation (53),
(66)
Choose a relatively compact parameter neighbourhood
of
. By Proposition 4.7, there exist
and a jointly holomorphic function
such that, for each
, the function
is the normalized dynamical Böttcher coordinate of
on the common exterior region
. By Proposition 4.7, the map
satisfies the functional Equation (62) and the normalization (63). Since
, there exists
such that
. By Notation 4.4,
is a polynomial in
, and hence is holomorphic and continuous. After shrinking
to a sufficiently small simply connected neighbourhood
of
, we therefore have
(67)
Define
(68)
By (67), the composition in (68) is holomorphic on
. Moreover, because each
is a Böttcher coordinate with values in
, the function
is nonvanishing on
.
Because the function
defined in (68) is nonvanishing on the simply connected domain
, it admits a holomorphic logarithm and, consequently, a holomorphic
-st root. By Definition 4.5, the root branch compatible with the normalization at infinity defines
and satisfies (55).
The definition is independent of the chosen entry time. Indeed, if
, then
(69)
Repeated application of the functional Equation (62) along the orbit identity (69) gives
(70)
Therefore, for the compatible local root branches,
(71)
Identity (71) proves that the normalized pullback is unchanged when a later entry time is used.
The classical Douady–Hubbard theorem guarantees that the normalized local branches obtained in this manner are compatible on overlaps and patch together to form a single-valued holomorphic map on
. This global map is precisely
. Consequently, the globally defined parameter Böttcher map satisfies the local representation (64) on
.
The same classical theorem establishes that
is one-to-one and maps
onto
. Therefore
is a conformal isomorphism. Since
maps
onto
, the modulus estimate (65) follows.
It remains to prove uniqueness under the stated normalization. Suppose that
is another conformal isomorphism satisfying the normalization
as
, analogous to (36). Then
is an automorphism of
that fixes infinity. Every such automorphism is a rotation,
. The normalization at infinity gives
. Hence
is the identity map, and therefore
. □
Corollary 4.9 (Critical Orbit Representation). Let
be a simply connected parameter neighbourhood on which the compatible holomorphic root branches are chosen according to Definition 4.5. Then
(72)
locally uniformly for
. Equivalently,
(73)
where the roots denote the local holomorphic branches compatible with the normalization (36).
Proof. Let
and
be as in Theorem 4.8. For
, the orbit point
lies in the common exterior Böttcher region. Since
(74)
locally uniformly with respect to
, applying (74) along the escaping critical orbit gives
(75)
locally uniformly on
. By the functional equation and Theorem 4.8,
(76)
Consequently,
(77)
By (75), the second factor in (77) converges locally uniformly to
. Hence the convergence asserted in (72) follows. □
Remark 4.10. The root-limit formula in Corollary 4.9 is not used as a branch-free global definition of
. For arbitrary root choices, the expressions
are multivalued and do not by themselves establish either single-valuedness or holomorphic dependence on
. The global single-valued holomorphic map
is supplied by the classical Douady–Hubbard uniformization theorem. The corollary expresses this already-established map locally through the uniquely compatible holomorphic root branches determined by its normalization at infinity.
Remark 4.11. The notation
is commonly used as shorthand for the classical identification between the parameter Böttcher map and the normalized dynamical exterior coordinate evaluated along the escaping critical orbit. It must not be interpreted as a direct evaluation of the local map supplied by Theorem 4.1, because the critical value
need not belong to the particular neighbourhood
on which that local coordinate is initially defined. More precisely, if
is chosen so that
lies in the exterior Böttcher region, then
(78)
with the root selected by the normalization at infinity. Consequently,
(79)
Taking absolute values and logarithms in (78) gives (79). By the local Green-function identity (42), evaluated at
,
(80)
Combining (79), (80), and the dynamical functional Equation (32) gives
(81)
The geometric content of Theorem 4.8 is summarized in Figure 1. The exterior coordinate sends equipotentials to concentric circles and parameter external rays to radial half-lines.
Figure 1. Schematic representation of the classical Douady–Hubbard exterior uniformization. By Theorem 4.8, the parameter Böttcher map
conformally identifies
with
. Under this map, the equipotential
, defined using Definition 5.1, corresponds to the circle
, as stated in Proposition 7.2. The parameter external ray of angle
, introduced in Definition 7.1, corresponds to the radial half-line
,
. The parameter-plane ray is schematic and is included to illustrate the conformal correspondence rather than to represent a numerically computed inverse Böttcher ray.
5. Explicit Construction of the Green Function
We now construct the Green function of
explicitly from the parameter Böttcher map of Notation 3.11 and Theorem 4.8. The results of this section are classical consequences of the Douady-Hubbard parameter uniformization and standard logarithmic potential theory; see [1], Chapter VI, [2] [3], [5], Chapter 14, and [9]. They are included with proofs to fix the precise normalization used in the quantitative analysis.
Definition 5.1 (Exterior Green function). Let
be the normalized parameter Böttcher map from Theorem 4.8. Define
(82)
Equation (82) is the exact conformal definition used throughout the remainder of the paper.
Remark 5.2. Definition 5.1 is the classical conformal representation of the exterior Green function:
(83)
The composition formula (83) shows that
is defined exactly on
, rather than only through its asymptotic behaviour at infinity.
We next identify this parameter-plane function with the dynamical Green function evaluated at the critical value.
Proposition 5.3. For every
,
Proof. Fix
, and write
. Choose
so that
belongs to an exterior neighbourhood on which the dynamical Böttcher coordinate
is defined. By Theorem 4.8, the local representation (64),
(84)
Taking absolute values and logarithms in (84) gives
(85)
By Theorem 4.1, and the local identity (42),
(86)
Since the critical value is
, one has
(87)
Repeated application of the functional Equation (32) along (87) gives
(88)
Combining (85), (86), and (88) yields
(89)
Using Definition 5.1 and (82), we obtain
. □
Corollary 5.4. For every
,
. Consequently,
(90)
Proof. Since
, the functional Equation (32) from Remark 3.7 gives
(91)
Using Proposition 5.3, we conclude that
. The limit formula (90) then follows from Definition 3.5 and (28), evaluated at
. □
Remark 5.5. Corollary 5.4 is the precise normalization bridge between the present paper and [6]. The earlier quantitative paper studied the critical-point regularization
, whereas the present paper is organized around the parameter-plane Green function
. The factor 2 reflects the single-step passage from the critical point 0 to the critical value
.
Proposition 5.6. The function
is harmonic on
.
Proof. By Theorem 4.8, the map
is holomorphic and maps
into
. In particular,
is nowhere zero on
. Hence, near every point of
, one may choose a holomorphic branch of
. On such a neighbourhood,
(92)
Identity (92) shows that
is harmonic locally. Since harmonicity is a local property and
by Definition 5.1 and (82),
is harmonic on
. □
Proposition 5.7. For every
, one has
Proof. If
, then Theorem 4.8 gives
. The modulus estimate (65) gives
. Taking logarithms and using Definition 5.1 together with (82) gives
. □
Theorem 5.8 (Logarithmic growth at infinity). As
,
(93)
Proof. By Theorem 4.8 and the normalization (36),
as
. Taking moduli gives
(94)
Since the real logarithm is continuous at 1, it follows that
(95)
Using (82) in (95) gives (93). □
Corollary 5.9. The function
has a logarithmic pole at infinity in the sense of Definition 3.8.
Proof. By Theorem 5.8 and (93),
as
, which is exactly the normalization in Definition 3.8 and (33). □
Proposition 5.10. The function
extends continuously to
by setting
for all
. In particular,
on
.
Proof. By Corollary 5.4,
for all
. The escape-rate function
is continuous for the quadratic family; see, for example, [1], Chapter VI, or [5], Chapter 8. In particular, the function
is continuous on
. Moreover,
(96)
Let
and suppose that
. By continuity,
(97)
The final equality in (97) follows from (96), since
. Define
(98)
The convergence (97) shows that the extension (98) is continuous on all of
. In particular,
on
. □
Theorem 5.11 (Structural Characterization of
). The function
constructed in Definition 5.1 has the following properties:
(i)
is harmonic on
;
(ii)
for every
;
(iii)
extends continuously to
and vanishes on
;
(iv)
as
.
Proof. Part (i) is Proposition 5.6. Part (ii) is Proposition 5.7. Part (iii) is Proposition 5.10. Part (iv) is Theorem 5.8, equivalently the logarithmic-pole normalization of Definition 3.8. □
6. Uniqueness of the Exterior Green Function
We now prove the classical uniqueness characterization of
as the Green function of
with pole at infinity in the normalization of Definition 3.8; compare [9] and [10]. The proof is included for completeness.
Theorem 6.1 (Uniqueness of the Normalized Exterior Green Function) Let
be a function satisfying:
(a)
is harmonic on
;
(b)
extends continuously to
and
on
;
(c)
has a logarithmic pole at infinity with the normalization of Definition 3.8, namely the condition (33).
Then
for every
Proof. Define
(99)
By the harmonicity of
and Proposition 5.6, the function
defined in (99) is harmonic on
.
By the boundary condition on
and Proposition 5.10, the function
extends continuously to
and satisfies
on
. Furthermore, by the growth assumption on
, Theorem 5.8, and (93),
(100)
Fix
. Since
is compact, choose
such that
. For
with
, set
(101)
The function
is harmonic on
, continuous up to the boundary pieces
and
, and the boundary of
is contained in
(102)
Set
(103)
By (100),
as
. The maximum principle applied to both
and
on
gives
(104)
Applying (104) at
gives
. Letting
and using
, which follows from (100), gives
. Since
was arbitrary, it follows that
on
. Therefore,
on
. □
Corollary 6.2. The function
is the normalized Green function of
with pole at infinity. Moreover, it is unique among functions satisfying the hypotheses of Theorem 6.1.
Proof. By Theorem 5.8 and (93), the function
has the normalization required by Definition 3.8 and (33). Thus
satisfies the existence properties required of the normalized Green function on
.
If
is any other function with the same normalization at infinity and satisfying the hypotheses of Theorem 6.1, then Theorem 6.1 gives
on
This proves uniqueness. □
Remark 6.3. The proof of Theorem 6.1 is an unbounded-domain uniqueness argument. The difference of two admissible Green functions is harmonic, vanishes on the inner boundary, tends to zero on the outer boundary at infinity, and is therefore forced to vanish identically by an exhaustion of the domain and the maximum principle.
7. Equipotentials and External Geometry
The conformal representation (82) from Definition 5.1 makes the geometry of the Mandelbrot exterior transparent. The following standard equipotential and external-ray conventions are induced by the parameter Böttcher coordinate; see [2] [3], [4] Chapter 13, and [5] Chapter 14.
Definition 7.1 (Equipotentials and External Rays). For
, the equipotential of level
is
(105)
For
, the parameter external ray of angle
, measured in turns, is
(106)
Proposition 7.2. For every
,
, where
is the exterior circle defined in (38) and Notation 3.13.
Proof. Let
, and let
. By Definition 7.1, Definition 5.1, and Notation 3.13, together with (105), (82), and (38), one has
(107)
The equivalence chain (107) proves
. □
Remark 7.3. Proposition 7.2 shows that the equipotentials of the Mandelbrot set are obtained by pulling back Euclidean circles under the exterior conformal map
. Thus the level sets of
are the geometric traces of the uniformization
Remark 7.4. The equipotentials
and the external rays
, introduced in Definition 7.1, are the two basic foliations induced by the exterior conformal coordinate. In the
-plane, the sets
and
are orthogonal. Their pullbacks through
encode the external geometry of the Mandelbrot set in a conformally natural way.
Observation 7.5. The positivity of
on
, proved in Proposition 5.7, together with the identity
on
, proved in Proposition 5.10, shows that
is the zero-level set of the Green function. In this sense, the Mandelbrot set is the natural equipotential boundary of its own exterior domain.
8. Quantitative Approximation of the Parameter Böttcher Potential
In the author’s earlier work [6], the finite critical orbit escape rate approximants of Definition 3.6 were studied quantitatively, with explicit convergence estimates in the escaping regime. In the present paper, the structurally natural parameter-space Green function is identified by Proposition 5.3 and the conformal–dynamical identity (89) as
. The quantitative estimate in the following theorem was established in the author’s earlier work [6]. The present formulation provides a self-contained telescoping derivation and identifies the estimate with approximation of the parameter Böttcher potential through the conformal-dynamical normalization (81).
Theorem 8.1 (Quantitative--Conformal Bridge Theorem). Let
, and let
be the finite critical orbit escape rate approximants from Definition 3.6. Assume that, for some
, there exists an escape radius
such that
. Then, for every
,
(108)
In particular,
(109)
with explicit exponential error control of order
.
Proof. Set
where
. Since
, the critical orbit of
escapes to infinity by Definition 3.3. By Definitions 3.5 and 3.6, together with (31), one has
. By Corollary 5.4, and the identity (81)
. By hypothesis,
, where
. In particular,
. We first show that the orbit remains in the escape region after time
. Suppose that
for some
. Then
(110)
Since
and
, one has
. Combining this with (110) gives
(111)
By induction from (111),
(112)
For every
, the critical orbit recurrence (29) may be written in the factorized form
(113)
Since (112) gives
, the positive logarithm agrees with the ordinary logarithm. Using (30) and (113), one obtains
(114)
Let
. Summing (114) from
to
gives
(115)
Letting
in (115) and using (31), one obtains
(116)
For
, the orbit bound (112) gives
(117)
For every
satisfying
,
(118)
Consequently,
(119)
The modulus bounds (118) imply the logarithmic estimate (119). Applying (119) with
, and then using (112), gives
(120)
Combining (116) and (120) yields
(121)
Finally, multiplying (121) by 2 and using Corollary 5.4 together with (81) gives the claimed bound (108). The factor
is finite and independent of
. Therefore, the right-hand side of (108) tends to zero at the rate
, proving (109). □
Remark 8.2 (Interpretation of the Quantitative Estimate). Theorem 8.1 separates the approximation error into the geometric decay factor
and an escape-region constant. Define
(122)
With the constant in (122), the bound (108) may be written as
. For fixed
and
, the constant
is independent of
. Thus, once the critical orbit has entered the escape region
, the remaining approximation error decreases geometrically at the rate
. The condition
has two roles. First, the inequality
ensures that
, so the logarithmic correction terms are uniformly controlled. Second, the inequality
, together with the forward-invariance estimate (111), ensures that the critical orbit remains in the escape region after its first entry. Consequently, the estimate (108) applies for every
. The telescoping argument is included to make the proof self-contained. Although the underlying escape-rate estimate was established in [6], the present theorem identifies its parameter-plane conformal meaning through the classical identity (81).
Corollary 8.3. For every escaping parameter
, the finite escape-rate approximants
provide an explicit quantitative approximation to the parameter Böttcher potential
.
Proof. Let
. Since
is escaping, the critical orbit eventually enters an escape region. Thus, there exist
and
such that
(123)
Applying Theorem 8.1 under the entry condition (123), one obtains the estimate (108) for every
. The constant
defined in (122) is finite and independent of
. Hence the right-hand side tends to 0 as
. Consequently, the convergence (109) holds. Moreover, (108) provides an explicit error bound at every finite step
, so the approximation is quantitative. □
The pointwise estimate has the following compact-uniform consequence, developed in the present manuscript.
Corollary 8.4 (Uniform Quantitative Approximation on Compacta). Let
be a nonempty compact set. Then there exist an integer
and a constant
such that
(124)
Equivalently,
locally uniformly on
, with exponential rate on every compact subset.
Proof. Since
is nonempty and compact, define
(125)
The number
is finite. Choose
such that
(126)
Since
for every
, (126) implies that
for every
. Thus,
satisfies the escape-radius condition in Theorem 8.1 uniformly over
. For each
, the critical orbit defined in Notation 4.4 escapes because
. Hence there exists an integer
such that
(127)
By Notation 4.4, the map
is a polynomial and is therefore continuous. Consequently, the strict inequality in (127) persists on a sufficiently small open neighbourhood
of
. Thus,
(128)
The family
is an open cover of
. By compactness, there exist
such that
. Define
(129)
Let
. Choose
such that
. By (128),
. The forward-invariance estimate (111), proved in Theorem 8.1, shows that once the critical orbit enters the region
, it remains in that region. Since
, it follows that
(130)
Define
(131)
By (126),
. Therefore, the logarithm in (131) is well defined, and
is finite and positive. By (130), the hypotheses of Theorem 8.1 hold for every
and every
, with the common radius
. Using the conformal representation (82), the estimate (108) becomes an estimate for
. Moreover, the function
is increasing on
. Since
, we therefore obtain
(132)
Taking the supremum over
in (132) gives (124).
□
Remark 8.5. Corollary 8.4 strengthens the pointwise convergence in Theorem 8.1 to locally uniform convergence on
. The compactness assumption is essential for obtaining a common escape radius, entry index, and error constant. No corresponding global uniform estimate is asserted near
.
8.1. Numerical Approximation Schemes and Visualization Methodology
The numerical visualizations in this paper are finite-resolution illustrations of the analytic objects constructed above. They are not used as substitutes for the proofs. Their purpose is to display, in finite-iteration form, the conformal and potential-theoretic structures described by Theorem 4.8, Definition 5.1, Proposition 7.2, and Theorem 8.1.
Corollary 8.4, together with the compact-uniform estimate (124), shows that the fixed-index approximants converge uniformly and exponentially on compact subsets of the Mandelbrot exterior. This provides the analytic justification for using common finite iteration depths on compact positive-potential regions.
The computations use two related numerical regimes. The first is based on finite critical orbit approximants, as introduced in Definition 3.6. This regime is used for the parameter-plane Green-function heat map, the convergence plot, and the equipotential-stability visualization. The second regime approximates the parameter Böttcher coordinate itself and is used for the exterior-geometry visualization containing numerical parameter rays.
8.1.1. Fixed-Index and First-Escape Approximations
For a parameter
, let
be the critical orbit polynomial defined by (52). Equivalently, (53) gives
.The finite critical orbit escape rate approximants introduced in Definition 3.6 are the quantities
defined in (30). By Corollary 5.4, the parameter Green function satisfies
. Consequently, for a fixed index
, define the fixed-index parameter Green-function approximation by
(133)
The index
in (133) is fixed and is the same for every parameter
. This is the fixed-index approximation appearing in Theorem 8.1.
The grid-based numerical procedure used for visualization employs a different convention. Instead of evaluating every orbit at one common fixed index, it stops each orbit when that orbit first crosses a prescribed escape radius. The resulting quantity is therefore a variable-time estimator and must be distinguished from
.
Let
be a maximum iteration count and let
be an escape radius. For a parameter
, define the truncated first-escape time by
(134)
provided that the set in (134) is nonempty. If
is defined, the variable-time first-escape estimator is
(135)
The iteration index in (135) depends on
. Thus, the first-escape estimator is distinct from the fixed-index approximation (133). To apply Theorem 8.1 uniformly on a finite parameter grid
, set
and choose
. Then, for every
,
. If escape is detected at time
, then Theorem 8.1 applies with
, and gives
(136)
where
(137)
If the orbit does not cross
by iteration
, the finite computation does not prove that
. It shows only that escape was not detected within the prescribed iteration budget. We therefore define the unresolved set
(138)
The set in (138) is a finite-time numerical mask and need not coincide with
.
Algorithm 1 is a variable-time numerical procedure. It does not compute a single fixed-index field
with one common value of
. For every parameter whose escape is detected, Algorithm 1 computes the first-escape estimator defined in (135) and the error field defined in (137). Proposition 8.6 proves the certificate (136) under the stated escape-radius condition. The zero-filled field is used only for visualization. In particular, the dark region in the corresponding figures represents parameters for which escape was not detected within
iterations. It should not be interpreted as a rigorous numerical certification of membership in
.
The preceding definitions and Theorem 8.1 give the following certified numerical consequence.
Proposition 8.6 (Error Certificate for the First-escape Estimator). Let
, and let
. Then . Moreover, the error certificate (136) holds.
Proof. Since
, Algorithm 1 detects escape at the finite index
. Therefore,
. By the admissibility condition on
,
. Hence the hypotheses of Theorem 8.1 hold with
. By the definition used in Algorithm 1,
(139)
Since
, one has
. Therefore, (139) and (30) give
(140)
Applying (108) at
gives
(141)
□
Remark 8.7 (Fixed-index versus variable-time approximation). The fixed-index approximation (133) uses the same prescribed iteration index
for every parameter. By contrast, Algorithm 1 computes the variable-time estimator (135), whose stopping time depends on
. The two quantities agree only when
. Accordingly, the first-escape estimator must not be denoted by
, since such notation suggests a common fixed iteration index.
For visualization, it is convenient to assign a dark zero value to parameters in the unresolved set. We therefore define the display field
(142)
The value zero in (142) is a visualization convention only. It does not assert that every parameter in
belongs to
, nor that
has been certified for those parameters by the finite computation.
Figure 2 displays the zero-filled visualization of the variable-time estimator . Its contours are numerical level curves of the estimator, not exact equipotentials of
, and the unresolved mask does not certify membership in
.
Figure 2. Variable-time first-escape approximation of the parameter Green function. The contours are level curves of . The black region is the finite-time unresolved mask, not a certified subset of
. Proposition 8.6 provides the pointwise error bound.
8.1.2. Finite Dynamical-Plane Approximation
The dynamical-plane and parameter-plane computations use related but distinct normalizations. In the dynamical plane, the parameter
is fixed and the initial point
varies. In the parameter plane, the initial point is the critical point 0, while the parameter
varies. Figure 3 illustrates this distinction using the variable-time estimators and .
For each initial point
, define the truncated dynamical first-escape time by
(143)
provided that the set on the right-hand side is nonempty. Whenever
is defined, the dynamical-plane first-escape estimator is
(144)
No factor 2 is applied in the dynamical plane.
Algorithm 2 computes the variable-time dynamical first-escape estimator (144). Figure 3 compares the variable-time dynamical estimator for a fixed parameter
with the parameter-plane display field . The two panels illustrate the different dynamical and parameter normalizations, rather than exact pointwise evaluations of
and
.
Figure 3. Dynamical-plane and parameter-plane first-escape visualizations for
. Left: the variable-time approximation for a fixed escaping parameter
. Right: the zero-filled display field , constructed from . The dark regions are finite-time unresolved masks and do not certify membership in the corresponding filled Julia set or in
.
8.1.3. Numerical Approximation of the Parameter Böttcher Coordinate
The exterior-geometry visualization in Figure 4 requires more than the modulus of
. To draw parameter external rays, one also needs the argument of
. We therefore introduce the logarithmic coordinate
(145)
understood through compatible logarithmic branches on the exterior domain under consideration.
For
, the parameter Böttcher map is related to the dynamical exterior coordinate through the normalized pullback relation (78). The conventional notation
is understood only in this normalized pullback sense, as explained in Theorem 4.8 and Remark 4.11. For the numerical construction, define the forward orbit of the critical value by
(146)
Since
, the orbit in (146) satisfies
. The recurrence (146) admits the factorization
(147)
On a parameter domain where compatible logarithmic branches have been selected, taking logarithms in (147) gives
(148)
Iterating (148) and selecting the branches compatibly with the normalization (36) yields the formal Böttcher-logarithm expansion
(149)
The logarithms in (149) are understood through branches selected compatibly by analytic continuation from the normalization at infinity. Accordingly, (149) is used here as a local branch-compatible representation rather than as an independent branch-free global definition of
. For a truncation depth
, define
(150)
The real part of the truncated logarithmic coordinate defines the numerical potential field
(151)
Since
, the field in (151) is intended to approximate the exact parameter Green function
defined in (82). It is used to produce the numerical potential background and the approximate equipotential curves in Figure 4. The imaginary part of the truncated logarithmic coordinate defines the numerical external-angle field
(152)
The division by
expresses the argument in turns, consistently with the angular convention in Definition 7.1. Thus, (152) is intended to approximate the external argument
. The field is used in the numerical extraction of parameter-ray segments described in Algorithm 4. Because the computation depends on compatible logarithmic branches, no global branch-certified error estimate for
is asserted. Taken together, the numerical potential and external-angle fields defined in (151) and (152), respectively, are obtained from the real and imaginary parts of the truncated logarithmic coordinate (150).
![]()
In the numerical implementation of Algorithm 3, small negative values of
are replaced by zero through the assignment
. This clipping is an implementation safeguard, used to suppress small negative values caused by truncation and floating-point roundoff. It is an implementation and visualization convention and is not part of the mathematical definition (151). Algorithm 3 is used in Figure 4. The white curves are level curves of
, while the coloured curves are extracted from the numerical angle field
. These provide finite-resolution approximations to the exact equipotentials and parameter external rays of Definition 7.1; they are not identified with the exact conformal objects.
8.1.4. Numerical Extraction of Parameter External Rays
For an external angle
, the exact parameter external ray is defined by Definition 7.1 and (106). Numerically, Θ is replaced by
. Direct contouring of
is inconvenient because
is defined modulo 1. To remove this discontinuity, define
(153)
The equation
contains both
and
. The desired branch is selected by imposing
(154)
In addition, the computation is restricted to points satisfying
, where
is a small numerical cutoff. This avoids extracting rays from points too close to the unresolved boundary level
. Condition (154) selects the branch corresponding to angle
.
The component-selection rule in Algorithm 4 is a numerical post-processing step. It is not part of the theoretical definition of
. The theoretical definition remains the conformal one given in Definition 7.1.
8.1.5. Display Field and Contrast Enhancement
The colour background in Figure 4 does not display the raw Green function directly. Instead, for visual contrast, it uses the monotone transformation
(155)
The transformed field defined in (155) is used only to enhance visual contrast. The white curves in Figure 4 are level curves of the untransformed numerical potential
, while the exact equipotentials are defined in (105). Thus, the figure is a finite-resolution illustration of the exact conformal identity established in Proposition 7.2 and (107), rather than an exact numerical reconstruction of the exterior geometry. Since
is strictly increasing for
, this transformation preserves the order of potential values. It is used only to improve the visibility of small potential variations near
. The actual equipotential curves in Figure 4 are contours of the untransformed quantity
, not contours of the colourbar variable. The finite-time unresolved region is displayed in a dark indigo colour. This is a visualization convention only. Analytically, the exact zero-potential set is
, but the finite-time unresolved mask need not coincide exactly with
. No exterior Green-function value is certified for parameters in the unresolved mask.
8.1.6. Complete Exterior-Geometry Visualization
The final exterior-geometry visualization combines four numerical objects: the finite-time unresolved mask, the transformed display field
, the level curves of
, and the numerical parameter external rays extracted from
.
Algorithm 5 supports Figure 4. The figure should be read as a finite-resolution numerical illustration of the exact equipotential identity established in Proposition 7.2 and (107), together with the exact parameter-ray definition in Definition 7.1 and (106).
The display transformation affects only the visual contrast and does not alter the numerical level curves used in the figure. All equipotential and ray components shown in Figure 4 should therefore be interpreted as finite-resolution numerical approximations.
Figure 4. Numerical exterior geometry obtained from a truncated Böttcher coordinate. The transformed background
is used for visual contrast, the white curves are level curves of
, and the coloured curves approximate parameter external rays. The computation uses a 1700 × 1300 grid,
,
,
, and
. The dark region is the finite-time unresolved mask.
8.1.7. Numerical Convergence and Certified Comparison Bounds
For representative escaping parameters, we consider the fixed-index approximants
defined in (133). For each such parameter, the numerical reference value
is computed by a variable-time first-escape calculation using a sufficiently large admissible reference radius
. The associated error certificate satisfies
(156)
Thus, the certificate (156) controls the discrepancy between the numerical reference value and the exact Green function. For an admissible theorem radius
, define
(157)
Suppose that the critical orbit has entered the corresponding escape region by an index
. Then Theorem 8.1, together with the error estimate (108), the fixed-index definition (133), and the conformal identity (82), gives, for every
,
(158)
Combining the fixed-index error bound (158) with the numerical-reference certificate (156), the triangle inequality gives
(159)
For convenience, define the plotted certified comparison bound by
(160)
With the notation (160), the comparison estimate (159) becomes
for every
.
![]()
Algorithm 6 produces the numerical visualization shown in Figure 5. Its mathematical justification is provided by Theorem 8.1 and the fixed-index error estimate (158). The figure illustrates the convergence of the fixed-index approximants
, defined in (133), for representative escaping parameters. The displayed discrepancies are computed relative to the certified numerical reference
, whose error is controlled by (156). The dotted curves represent the plotted certified comparison bound
defined in (160). By (159), these curves provide upper bounds for the discrepancies
at every index
for which the corresponding critical orbit has entered the prescribed escape region. The semilogarithmic decay shown in Figure 5 is consistent with the exponential estimate (108) proved in Theorem 8.1. The figure is a finite-resolution numerical illustration and is not used to establish the convergence or the certified bounds.
![]()
Figure 5. Convergence of the fixed-index approximants
, defined in (133), for two representative escaping parameters. The dashed lines are the first-escape references
, computed using
. The right panel compares the discrepancies
with the certified bounds
defined by (160), with the admissible theorem radius
.
8.1.8. First-Escape Level-Curve Visualization
Figure 6 is generated from the variable-time first-escape estimator defined in (135) and computed by Algorithm 1. The highlighted curves are numerical level curves of at the levels
,
, and
, with
and
. Thus, the displayed numerical levels are 0.136, 0.160, and 0.184. These curves provide a finite-resolution illustration of the Hausdorff-continuity result proved later in Theorem 9.1. They are numerical level curves of the estimator , not the exact equipotentials
defined in (105). Furthermore, the unresolved region is the finite-time mask defined in (138) and does not certify membership in
.
Algorithm 7 generates the numerical level curves shown in Figure 6. The figure is a finite-resolution illustration of Theorem 9.1; it is not used in the proof.
8.1.9. Schematic Uniformization Figure
Figure 1 is schematic rather than a direct numerical inversion of the parameter Böttcher map. It illustrates the conformal correspondence supplied by Theorem 4.8. Under this correspondence, the exact equipotentials are the inverse images of the circles
, as established in Proposition 7.2 and (107), while the exact parameter external rays are defined by Definition 7.1 and (106). The schematic parameter external ray is included only to explain the geometry of the uniformization and is not presented as a numerically computed inverse Böttcher ray. The computed numerical ray segments appear instead in Figure 4, where they are extracted from the external-angle field
defined in (152), itself obtained from the truncated logarithmic coordinate (150).
8.1.10. Implementation and Numerical Limitations
The numerical methods use array-based complex iteration on finite grids and standard contour extraction for scalar fields. The computations were implemented using NumPy for array operations and Matplotlib for plotting and contour visualization; see [21] [22]. Several safeguards are used in the implementation:
(i) The Böttcher-logarithm computation is restricted to parameters for which exterior escape has been detected by the finite escape test;
(ii) Orbit updates are stopped before floating-point overflow;
(iii) Non–finite values are rejected;
(iv) In the implementation of Algorithm 3, small negative values of
, caused by truncation or floating-point roundoff, are replaced by 0, as explained after (151);
(v) Ray extraction is restricted to points satisfying
, where
is defined in (151); this restriction avoids the numerically unresolved boundary region;
(vi) Among admissible ray components, preference is given to components reaching the plotting boundary.
Near
, both escape detection and Böttcher-coordinate approximation converge more slowly. Consequently, all plotted equipotentials and rays near the boundary should be interpreted as finite-resolution numerical approximations.
Remark 8.8. The truncated Böttcher-logarithm approximation
, defined in (150), is introduced only for numerical visualization of equipotentials and parameter external rays. It is not used as an additional hypothesis in any of the analytic proofs of the paper.
Remark 8.9. All numerical figures in this paper are finite-resolution visualizations of the analytic theory. The exact conformal construction is Definition 5.1, the exact parameter-space uniformization is Theorem 4.8, the exact equipotential identity is Proposition 7.2, and the convergence mechanism for finite critical orbit approximants is Theorem 8.1. The numerical plots are therefore illustrations of these results, not additional hypotheses or substitutes for the proofs.
9. Stability of Equipotentials Away from the Boundary
We now strengthen the geometric interpretation of the level sets of
by proving a stability statement for equipotentials lying a positive distance away from the boundary of the Mandelbrot set.
Theorem 9.1 (Hausdorff Continuity of Equipotentials on Compact Level Ranges). Let
. For each
, let
be the equipotential defined in Definition 7.1 and (105). Then the family
depends continuously on
in the Hausdorff topology of Definition 3.12. More precisely, if
in
, then
(161)
Proof. By Proposition 7.2 and (107),
, where
is the exterior circle defined in Notation 3.13 and (38). Since
is nonempty and compact and
is continuous on
, the equipotential
is nonempty and compact.
Let
be the compact annulus introduced in Notation 3.13. Since
, one has
. By Theorem 4.8, the inverse map
is continuous on
, and hence is uniformly continuous on the compact set
. If
, then
and
lie in
. Moreover, their Hausdorff distance is
(162)
Let
be a modulus of uniform continuity for
on
. Then
(163)
Using Proposition 7.2 again, (163) gives (161). □
Remark 9.2. For
, define the positive-potential band
(164)
By the conformal representation (82) and the definition of the compact annulus
in Notation 3.13, one has
(165)
Since
is compact and
is continuous, (165) shows that
is compact. Consequently, Corollary 8.4 gives constants
and
such that
(166)
Thus, the fixed-index approximants converge uniformly and exponentially on every compact positive-potential band.
Figure 6 displays three nearby positive level curves of the variable-time first-escape estimator , defined in (135). These curves are finite-resolution numerical illustrations and are not identified with the exact equipotentials
defined in (105). The displayed levels lie in a compact subinterval of
, so their ordered variation is consistent with Theorem 9.1 and the exact conformal description established in Proposition 7.2 and (107). The figure is not used in the proof of Hausdorff continuity. Combining Theorem 9.1 with the exact pullback identity gives the following structural consequence.
Figure 6. Finite-resolution level curves of the first-escape estimator , defined in (135), computed with
and
at the levels 0.136, 0.160, and 0.184. The dark region is the finite-time unresolved mask defined in (138). The curves provide a finite-resolution illustration consistent with the Hausdorff continuity established in Theorem 9.1.
Corollary 9.3 (Continuous Family of Compact Equipotentials). For every compact interval
, the equipotentials
form a pairwise disjoint, Hausdorff-continuous family of compact sets whose union is the positive-potential band
defined in (164).
Proof. By Definition 7.1 and (105),
is the level set of
at height
. Let
. By (164),
. Setting
, one has
and
. Therefore,
.
Conversely, if
for some
, then
, and hence
. Consequently,
(167)
The equipotentials are pairwise disjoint. Indeed, if
, then
and
, so
. Thus, every point of
lies on exactly one equipotential. By Proposition 7.2 and (107), one has
. Since
is compact and
is continuous on
, each
is compact. Finally, Theorem 9.1 and (161) show that
is continuous on
in the Hausdorff topology of Definition 3.12. Therefore,
forms a pairwise disjoint, Hausdorff-continuous family of compact equipotentials covering
.
□
Remark 9.4. Theorem 9.1 makes precise the geometric idea that, away from the boundary
, the equipotentials of the Mandelbrot set vary in a controlled and conformally natural manner. This strengthens the descriptive role of Section 7 by replacing interpretation with a theorem on the geometry of level sets.
10. Relation with Quantitative Escape-Rate Theory
We now make explicit the relation between the present paper and [6]. This section records the conceptual consequence of Corollary 5.4 and Theorem 8.1 in the notation of the earlier quantitative paper.
Proposition 10.1. For
, let
. Then
. Let
denote the finite critical orbit approximant used in [6], then, under the identification
with the notation of Definition 3.6, one has
(168)
Proof. The identity
is Corollary 5.4. Moreover, by Definition 3.5 and (31),
. Multiplying this convergence by 2 and using Corollary 5.4 gives (168). □
Remark 10.2. Proposition 10.1 should not be read as a repetition of the quantitative theory of [6]. Rather, it provides the conceptual translation between the two frameworks. The earlier paper studies the convergence and effective computation of the critical-point escape-rate
, whereas the present one identifies the structurally natural parameter-plane Green function
and characterizes it by conformal and potential-theoretic means.
Remark 10.3. From the viewpoint of mathematical exposition, the two papers play complementary roles. The quantitative paper answers the question: how can one approximate the regularized escape-rate effectively and with error control? The present paper answers the different question: what is the precise analytic and geometric object being approximated? The answer is the unique Green function of
with pole at infinity, represented by the conformal identity (82).
11. Limitations of the Present Study
The results of this paper establish a quantitative connection between finite critical orbit escape rates and the classical exterior Green function of the Mandelbrot set. The following limitations identify questions that remain outside the scope of the present analysis.
(i) The theoretical analysis is restricted to the quadratic family
, introduced in Definition 3.1. No corresponding quantitative–conformal estimate is derived here for higher-degree unicritical polynomials, multiparameter polynomial families, rational maps, or transcendental maps.
(ii) The conformal construction of the parameter Green function in Definition 5.1 and (82) describes only the exterior domain
. The present paper does not investigate the internal geometry of hyperbolic components, multiplier coordinates, parabolic bifurcations, or renormalization phenomena inside
.
(iii) The quantitative estimate in Theorem 8.1 and (108) applies only after the critical orbit has entered a prescribed admissible escape region. It does not provide a parameter-dependent complexity estimate for the corresponding entry time, particularly as
approaches
.
(iv) The unresolved set
, defined in (138) and computed by Algorithm 1, records only that escape was not detected within
iterations. Membership in
does not certify membership in
.
(v) The pointwise certificate , defined in (137), controls the potential-value error through (136). This scalar certificate does not, by itself, provide a certified Hausdorff bound for level curves extracted from a finite parameter grid.
(vi) The truncated Böttcher-logarithm approximation
, defined in (150), is used only for numerical visualization. No global branch-certified error estimate is proved for the numerical external-angle field
defined in (152). Consequently, no convergence theorem or certified geometric error bound is established for the numerical external-ray components extracted by Algorithm 4.
(vii) The equipotential-stability result in Theorem 9.1 applies only to compact positive level ranges
. Equivalently, the theorem concerns equipotentials contained in the compact positive-potential bands defined in (164). The present manuscript does not establish an analogous uniform Hausdorff-stability result as
, where the equipotentials approach the boundary regime associated with
.
(viii) The numerical figures depend on finite grid resolution, escape radii, iteration budgets, truncation depths, contour-interpolation and component-selection rules, and floating-point arithmetic. They are finite-resolution illustrations of the analytic theory and are not computer-assisted proofs of boundary membership, parameter-ray landing, or local connectivity.
These limitations do not affect the analytic results proved in the paper. Rather, they identify the points at which additional theoretical estimates, branch control, geometric stability arguments, or computer-assisted methods would be required.
12. Proposed Future Research Directions
The present results suggest a future programme centred on the conversion of pointwise escape-rate certificates into certified geometric information. The main objective is to pass from the certified scalar approximation supplied by Proposition 8.6 and (136) to certified approximations of the exact equipotentials and parameter external rays introduced in Definition 7.1. The statements below are proposed research targets. Except where a proof is supplied, they are not asserted as results of the present paper.
12.1. Primary Research Problem
Problem 12.1 (Certified Reconstruction of Exterior Geometry). Develop a finite algorithm that, for prescribed numbers
and
, produces numerical approximations to the exact equipotentials
, defined in (105), for every
, together with a computable certificate guaranteeing that the Hausdorff error, measured using Definition 3.12, is at most
. The certificate should depend explicitly on:
(a) The first-escape error field defined in (137);
(b) The parameter-grid mesh size;
(c) A lower bound for
on the relevant positive level region;
(d) The contour-interpolation error;
(e) The unresolved finite-time mask
defined in (138).
Remark 12.2. Proposition 8.6 certifies the scalar approximation through the pointwise estimate (136). The unresolved step is to convert this scalar certificate, together with grid and interpolation information, into a Hausdorff certificate for an extracted level curve.
12.2. Proposed Geometric Stability Principle
The following conjecture is a proposed intermediate result. A uniform scalar error bound alone does not control the topology of an approximating level set, since additional oscillatory or disconnected components may occur. The conjecture therefore includes a regularity and component-selection hypothesis intended to exclude such spurious components. It should be promoted to a theorem only after a complete proof and a precise formulation of this additional hypothesis have been supplied.
Conjecture 12.3 (Certified Level-Set Displacement Bound). Let
, and let
be the compact positive-potential band defined in (164). Suppose that
is continuously differentiable and satisfies
(169)
Define
(170)
Assume that
(171)
For
, define the approximate level set
(172)
Assume, in addition, that
satisfies a specified regularity and component-selection condition that excludes spurious level-set components and selects the component corresponding to the exact equipotential
. Then there should exist a function
, independent of
, such that
(173)
for every
, where
(174)
Remark 12.4. The gradient condition (171) is natural in view of the conformal representation (82). Indeed,
, while Theorem 4.8 shows that
is conformal and nonvanishing on
. These facts motivate the expectation that the exact potential has no critical points on compact positive-potential bands. A complete proof of the corresponding nonvanishing-gradient statement, together with the existence of a positive lower bound for
on
, may be included as a preliminary lemma in a future treatment of Conjecture 12.3.
Remark 12.5. A proof of Conjecture 12.3, together with a precise regularity and component-selection condition, would provide the analytic mechanism needed to convert the pointwise first-escape certificate (136) into a certified geometric error bound of the form (173) for positive equipotentials.
12.3. Target Theorem for Certified Equipotentials
Problem 12.6 (Certified Convergence of Computed Equipotentials). Fix
. For each
, let
be the parameter-grid mesh size;
be the maximum iteration count;
be an admissible escape radius;
be the corresponding certified first-escape field;
be the numerical contour extracted at level
.
Assume that
,
, and that the certified scalar errors satisfy
(175)
Under an explicit contour-regularity condition, the computed curves should satisfy
(176)
Moreover, the proof should yield a computable estimate of the form
(177)
where
is calculated from the scalar certificate, the grid resolution, the contour-interpolation error, and a lower bound for
on the relevant positive-potential band.
Remark 12.7. The target result (176) is stronger than numerical convergence observed in a plot. It requires an a posteriori certificate of the form (177) for every computed positive equipotential.
12.4. Adaptive Certified Computation
Problem 12.8 (Certified Adaptive Refinement Criterion). Let
be a parameter-grid cell. Associate with
: [label=()]
(i) An upper bound
for the first-escape approximation error on the detected vertices of
;
(ii) The oscillation of the computed field over
;
(iii) The mesh diameter
;
(iv) An unresolved-cell indicator
.
There should exist an explicit refinement functional
(178)
with the following properties:
1. If
, then
may be accepted without further refinement;
2. If
, then subdividing
or increasing its iteration budget decreases the certified uncertainty;
3. Repeated refinement terminates on compact positive level ranges.
Remark 12.9. The proposed refinement functional (178) would replace uniform-grid computation by an error-driven method that concentrates numerical effort near the requested equipotential and near cells with unresolved escape behaviour.
12.5. Escape-Time Complexity near the Boundary
Conjecture 12.10 (Escape-Time Growth on Controlled Positive-Potential Layers). Fix an admissible escape radius
. For
, define
(179)
Let
be a prescribed class of escaping parameters satisfying a uniform dynamical control hypothesis. Such a hypothesis may, for example, take the form of a uniform non-recurrence condition, a uniform distortion estimate along the critical orbit, or a restriction to a controlled family of external angles. Then there should exist constants
, depending only on
and
, such that
(180)
Equivalently, on a parameter class satisfying the stated uniform dynamical control, the computational effort required for certified first-escape detection should grow at most logarithmically in the inverse Green-function level.
Remark 12.11. The parameter-class hypothesis in Conjecture 12.10 is essential. A global version of (180) may fail because parameters near renormalizable or parabolic regimes can exhibit long transient behaviour. A future treatment should therefore formulate and verify an explicit uniform non-recurrence, distortion, or external-angle condition on
under which the constants
and
can be computed or bounded.
12.6. Certified External-Ray Approximation
Conjecture 12.12 (Certified Convergence of Compact Numerical Ray Segments). Fix
and
. Define the compact positive-potential segment of the parameter external ray by
(181)
where
is the exact parameter external ray introduced in Definition 7.1 and (106). Under the parameter Böttcher coordinate, the set
is the inverse image of the compact radial segment
. Since
is continuous on
, the set
is compact. Moreover, by (165), it is contained in the compact positive-potential band
. Suppose that
, defined in (150), is evaluated using compatible logarithmic branches on a neighbourhood of
, and let
be the corresponding numerical ray segment extracted from a grid of mesh size
. Then there should exist a computable function
such that
(182)
as
and
.
Remark 12.13. The restriction
places the ray segment in the compact positive-potential band
defined in (164). It therefore separates the problem from ray landing, boundary local connectivity, and the unbounded part of the ray near infinity. The proposed certificate (182) concerns only compact ray segments lying a positive-potential distance from
.
12.7. Scope of the Proposed Programme
The proposed programme focuses on a single unresolved transition: moving from certified scalar approximation of the Green function to certified approximation of exterior geometric objects. In particular, the programme seeks to convert the scalar certificate (136) into geometric estimates such as (177) and (182). The intended outcomes are:
(i) A rigorous conversion of potential error into Hausdorff level-curve error;
(ii) A posteriori certificates for computed positive equipotentials;
(iii) Adaptive refinement criteria with provable termination away from
;
(iv) Quantitative estimates for the cost of first-escape detection;
(v) Branch-certified approximation of compact parameter-ray segments.
The target statements and conjectures in this section are not used in the present paper. They define a proposed research programme building on Theorem 8.1, Proposition 8.6, and Theorem 9.1.
13. Conclusion
This paper places finite critical orbit approximation within the classical conformal and potential-theoretic description of the Mandelbrot exterior. Starting from the normalized Douady–Hubbard parameter Böttcher map of Theorem 4.8, the exterior Green function is constructed through the conformal identity (82). Its harmonicity, positivity, continuous extension by zero, and normalized logarithmic growth are established in Propositions 5.6–5.10 and Theorem 5.8, while Theorem 6.1 characterizes it as the unique normalized exterior Green function of
with pole at infinity. The central connection is the conformal–dynamical normalization proved in Proposition 5.3, Corollary 5.4, and (81). It identifies the parameter Green function, the parameter Böttcher potential, and twice the critical-point escape rate. Consequently, the finite critical orbit approximants defined in (30) approximate the exact parameter-plane potential. Theorem 8.1 makes this identification quantitative through the explicit exponential error bound (108). Its self-contained telescoping proof explains the decay rate
after the critical orbit enters an admissible escape region. Corollary 8.4 strengthens this pointwise estimate to locally uniform exponential convergence through (124). Thus, every compact subset of
admits a common entry index and a common error constant, although no analogous global uniform estimate is asserted near
. The numerical methodology distinguishes the fixed-index field (133) from the variable-time first-escape estimator (135). For every parameter whose escape is detected, Proposition 8.6 provides the pointwise certificate (136). By contrast, the unresolved set (138) records only failure to detect escape within the prescribed iteration budget and does not certify membership in
. The convergence visualization compares fixed-index approximants with a certified numerical reference. The reference error is controlled by (156), and the combined comparison estimate is given by (159). The plotted bound (160), implemented by Algorithm 6, therefore remains consistent with the exact analytic normalization. The exact exterior geometry is described by the equipotentials and parameter external rays introduced in Definition 7.1. The conformal pullback identity proved in Proposition 7.2 identifies positive equipotentials with inverse images of Euclidean circles. Using this identity, Theorem 9.1 proves the Hausdorff continuity (161) over compact positive level ranges. The compact positive-potential bands defined in (164) also support the uniform approximation estimate (166). For finite-resolution visualization, the truncated Böttcher logarithm (150) provides numerical potential and external-angle fields through (151) and (152). These fields illustrate the exact conformal geometry but are not used in the analytic proofs. In particular, no global branch-certified error estimate is asserted for the numerical angle field or for the parameter-ray components extracted by Algorithm 4. Taken together, these results clarify the relationship among the dynamical Green function, the parameter Böttcher potential, and finite critical orbit regularization. Classical exterior uniformization supplies the exact analytic object, while the quantitative estimates and certified numerical procedures explain how that object may be approximated from finite orbit data. Viewed alongside [6], the present work provides a conformal and geometric companion to the earlier quantitative study. The limitations in Section 11 and the programme proposed in Section 12 identify the next step: converting certified scalar approximations of
into certified geometric approximations of positive equipotentials and compact parameter-ray segments.
Code and Algorithm Availability
The Python programs, numerical experiments, and supporting computational procedures used in this article are available in the author’s GitHub notebook:
Exterior_Green_Function_of_the_Mandelbrot_Set.ipynb.
The notebook contains the computational implementations used to generate the numerical and schematic visualizations appearing in the manuscript, namely:
(i) Dynamical-plane and parameter-plane first-escape visualizations, shown in Figure 3;
(ii) Schematic exterior uniformization of the Mandelbrot set, shown in Figure 1;
(iii) Variable-time first-escape visualization of the parameter Green function, shown in Figure 2;
(iv) Numerical exterior geometry of the Mandelbrot set, including Green-function equipotentials and numerical parameter external rays, shown in Figure 4;
(v) Convergence of the normalized escape-rate approximants
, shown in Figure 5;
(vi) Nearby positive level curves of the first-escape estimator, shown in Figure 6.
These codes document the implementation of the finite critical orbit approximation, the truncated Böttcher-logarithm approximation, the numerical contour-extraction procedures, and the plotting algorithms described in Section 8.1. The notebook is provided to support reproducibility of the numerical visualizations and to make the computational procedures underlying Figures 3-6 available to readers.