Applied Conformal &
Quasiconformal Geometry

Pranav Haridas
Kerala School of Mathematics

Part II: Quasiconformal Mappings
Mathematical Foundations of Contemporary Scientific Research
July 27, 2026

The Grötzsch Problem

Introduction

Consider two rectangles in the complex plane:

$$R_{1} = [0, a] \times [0, b], \qquad R_{2} = [0, a'] \times [0, b']$$

Question: Does there exist a conformal map $f \colon R_{1} \to R_{2}$ that maps the four vertices of $R_{1}$ to the corresponding four vertices of $R_{2}$?

Grotzsch Rectangles Mapping

Weakening the Condition

Introduction

Before demanding strict conformality, let us weaken the condition and ask if there exists a diffeomorphism satisfying the identical boundary conditions.

Observe that the simple linear transformation

$$f(x, y) = \left( \frac{a'}{a} x, \; \frac{b'}{b} y \right)$$

is trivially a valid diffeomorphism from $R_{1}$ to $R_{2}$ mapping the vertices to the corresponding vertices.

Complex Coordinates

Introduction

Using complex coordinates $z = x + iy$, we can express this affine stretch mapping as:

$$f(z) = \frac{1}{2}\left( \frac{a'}{a} + \frac{b'}{b} \right) z + \frac{1}{2}\left( \frac{a'}{a} - \frac{b'}{b} \right) \bar{z}$$

The map $f$ is conformal if and only if the coefficient of $\bar{z}$ entirely vanishes. This holds if and only if $a'/a = b'/b$.

Conformal Impossibility

Analysis

We next ask if there exists any conformal mapping from $R_{1}$ to $R_{2}$ satisfying the boundary conditions.

Suppose such a conformal map $f$ exists. By the Schwarz reflection principle, $f$ extends across the boundaries of $R_{1}$ via repeated reflections to a conformal automorphism of the entire complex plane $\mathbf{C}$.

Applying Boundary Conditions

Analysis

Every conformal automorphism of $\mathbf{C}$ possesses the exact linear form $f(z) = \alpha z + \beta$ for complex constants $\alpha, \beta$ with $\alpha \neq 0$.

Assuming without loss of generality that $f(0) = 0$, we have $f(z) = \alpha z$. Since $f$ maps the vertices of $R_{1}$ to the corresponding vertices of $R_{2}$, it must satisfy $f(a) = a'$ and $f(ib) = ib'$.

The Aspect Ratio Constraint

Analysis

Evaluating the boundary maps yields $\alpha a = a'$ and $\alpha i b = i b'$, which implies:

$$\alpha = \frac{a'}{a} = \frac{b'}{b}$$

Thus, a conformal map mapping the vertices exists if and only if the aspect ratios match.

Formulating the Problem

Analysis

When $a'/a \neq b'/b$, a conformal mapping satisfying these boundary conditions absolutely does not exist.

Grötzsch's Extremal Problem

Identify the specific diffeomorphism satisfying these boundary conditions that minimizes the deviation from conformality.

Application: Shape Registration

Computer Vision

The impossibility of conformal mapping outside of strict conditions (like aspect ratio matching) directly impacts real-world fields.

Consider non-rigid shape registration in Computer Vision. The goal is to map complex geometries, such as a source human face to a target human face, to analyze expressions or track deformations.

Non-rigid Shape Registration

The Challenge of Landmarks

Computer Vision

For accurate facial tracking, we must ensure exact mapping correspondence at numerous landmark points (e.g., boundaries of the eyes, tip of the nose, and corners of the mouth).

Typically, we have $N \gg 3$ such landmarks. We want a mapping $f$ such that $f(z_k) = w_k$ for $k = 1, \dots, N$.

Conformal Failure at Scale

Computer Vision

If we require exact mapping correspondence at $N \gg 3$ landmark points, purely conformal mappings are vastly too rigid.

By the 3-point rigidity theorem of Möbius transformations, a conformal mapping between simply connected domains generally cannot satisfy more than 3 prescribed boundary point constraints simultaneously.

Relaxing Conformality

Computer Vision

To successfully force alignment across all $N$ landmarks, we must relax the strict conformality condition and seek a quasiconformal mapping.

The objective becomes finding a mapping that satisfies all landmark constraints while minimizing geometric distortion. This is the modern analog of solving Grötzsch's extremal problem for discrete complex structures!

Beltrami Shape Signatures

Computer Vision

The resulting optimal mapping yields a scalar field of geometric distortion (the Beltrami coefficient).

Regions of severe geometric shearing (e.g., around the mouth and eyes) provide precise 2D shape descriptors—valuable for machine learning algorithms classifying dynamic facial expressions.

Beltrami Registration

The Total Differential

Differential Geometry

Let $D \subseteq \mathbf{C}$ be a domain and $f \colon D \to \mathbf{C}$ a $C^{1}$-diffeomorphism. The total differential of $f$ in complex coordinates is expressed as:

$$df = f_{z} \, dz + f_{\bar{z}} \, d\bar{z}$$

where the Wirtinger derivatives are $f_{z} = \frac{1}{2}(\partial_{x}f - i \partial_{y}f)$ and $f_{\bar{z}} = \frac{1}{2}(\partial_{x}f + i \partial_{y}f)$.

Jacobian Determinant

Differential Geometry

A direct algebraic computation shows that the Jacobian determinant of the mapping $f$ is given by:

$$J_{f} = |f_{z}|^{2} - |f_{\bar{z}}|^{2}$$

We assume $f$ is strictly orientation-preserving. This means $J_{f} > 0$ everywhere, implying $|f_{z}| > |f_{\bar{z}}|$ at every point in $D$.

Images of Circles

Differential Geometry

One could always ask: what is the image of a circle under a general real-linear transformation?

Consider $T(z) = a z + b \bar{z}$. Evaluating on the unit circle $z = e^{i\theta}$:

$$T(e^{i\theta}) = a e^{i\theta} + b e^{-i\theta}$$

By factoring out a phase and applying Euler's formula, we can rewrite this image curve.

Mapping to Ellipses

Differential Geometry

The parametrization reduces to:

$$T(e^{i\theta}) = e^{i \frac{\alpha + \beta}{2}} \left( (|a| + |b|) \cos \phi + i (|a| - |b|) \sin \phi \right)$$

This describes an ellipse with major axis $|a| + |b|$ and minor axis $|a| - |b|$.

Infinitesimal Distortion

Differential Geometry

Because the derivative map (the total differential $df$) is a real-linear transformation at every point, we conclude that at an infinitesimal level, the derivative map takes circles to ellipses.

A conformal mapping preserves these circles (mapping circles to circles). However, as we saw with the Grötzsch problem and Computer Vision, requiring conformality is often far too restrictive.

Tangent space distortion from circle to ellipse

Bounding the Distortion

Differential Geometry

Therefore, it is highly desirable to not necessarily preserve circles, but rather ensure we do not distort them beyond a specific point.

We measure this distortion as the ratio of the major axis to the minor axis (the eccentricity). For the total differential $df$ at $z_{0}$, this is:

$$K_{f}(z_{0}) = \frac{|f_{z}(z_{0})| + |f_{\bar{z}}(z_{0})|}{|f_{z}(z_{0})| - |f_{\bar{z}}(z_{0})|}$$
Ellipse showing major and minor axis eccentricity

Analytic Quasiconformality

Definitions

By demanding that this geometric distortion is bounded everywhere, we obtain the analytic definition.

Definition

An orientation-preserving $C^{1}$-diffeomorphism $f \colon D \to \mathbf{C}$ is defined to be $K$-quasiconformal if $K_{f}(z) \le K$ for all $z \in D$.

The infimum over all such bounds $K$ is the precise quasiconformal constant $K_f$. A mapping is strictly $1$-quasiconformal if and only if it is conformal.

The Beltrami Coefficient

Definitions

Definition

The Beltrami coefficient (or complex dilatation) of $f$ is defined as $\mu_{f}(z) = \frac{f_{\bar{z}}(z)}{f_{z}(z)}$.

The geometric distortion $K_f(z)$ is related by $K_{f}(z) = \frac{1 + |\mu_{f}(z)|}{1 - |\mu_{f}(z)|}$. Geometrically, $f$ transforms infinitesimal circles into ellipses with eccentricity determined by the magnitude $|\mu_{f}|$.

Quadrilaterals

Geometric Definition

To understand quasiconformality globally, we analyze its effect on the module of quadrilaterals.

A quadrilateral $Q$ is a Jordan domain with four distinguished boundary points. By the Riemann Mapping Theorem, every quadrilateral can be conformally mapped to a unique rectangle $R = [0, a] \times [0, b]$.

We define the module of the quadrilateral as the ratio $M(Q) = a/b$.

Geometric Definition of QC

Geometric Definition

Conformal mappings preserve the module of any quadrilateral. Quasiconformal mappings, by contrast, distort this module, but by a bounded amount.

Geometric Definition

An orientation-preserving homeomorphism $f$ is $K$-quasiconformal if for every quadrilateral $Q$ in the domain, $M(f(Q)) \leq K \cdot M(Q)$.

This aligns with our analytic definition!

Concrete Example: Radial Stretch

Examples

Let us examine a concrete, non-trivial quasiconformal mapping: the radial stretch map.

$$f(z) = z |z|^{\alpha - 1}$$

where $\alpha > 0$ and $\alpha \neq 1$. This map preserves the origin and scales points radially depending on their distance from the origin. Is this mapping quasiconformal?

Computing Derivatives

Examples

We utilize the identity $|z| = (z \bar{z})^{1/2}$. Consequently, $f(z) = z (z \bar{z})^{(\alpha - 1)/2}$. Computing the Wirtinger derivatives using the product and chain rules yields:

$$f_{z} = \frac{\alpha + 1}{2} |z|^{\alpha - 1}, \qquad f_{\bar{z}} = \frac{\alpha - 1}{2} \frac{z}{\bar{z}} |z|^{\alpha - 1}$$

Computing the Beltrami Coefficient

Examples

The Beltrami coefficient $\mu_f(z)$ is the direct ratio of these derivatives:

$$\mu_{f}(z) = \frac{f_{\bar{z}}}{f_{z}} = \frac{\alpha - 1}{\alpha + 1} \frac{z}{\bar{z}}$$

Taking the magnitude, we find $|\mu_f(z)| = \left| \frac{\alpha - 1}{\alpha + 1} \right|$.

The Quasiconformal Constant

Examples

Because $|\mu_f(z)|$ is bounded by a constant less than 1, the mapping is quasiconformal!

Using the formula $K = \frac{1+|\mu|}{1-|\mu|}$, the maximal distortion is :

$$K = \max\left(\alpha, \frac{1}{\alpha}\right)$$

This illustrates how a non-conformal distortion manifests mathematically.

Solving Grötzsch's Problem

Extremal Proof

Armed with the theory of quasiconformal mappings, we can now make precise mathematical sense of Grötzsch's problem: we seek the extremal quasiconformal mapping $f \colon R_{1} \to R_{2}$ that minimizes the maximal distortion $K_{f}$. Assume without loss of generality that $a/b \leq a'/b'$.

Any such mapping must map the left and right vertical edges of $R_1$ to the corresponding edges of $R_2$. Consequently, the length of the image of any horizontal segment $[0, a] \times \{y\}$ must be at least $a'$.

Integrating the Differential

Extremal Proof

We can formalize this geometric fact by directly integrating the total differential along a horizontal line:

$$a' \leq \int_{0}^{a} |df(x + iy)| \leq \int_{0}^{a} (|f_{z}| + |f_{\bar{z}}|) \, dx$$

Integration Over the Domain

Extremal Proof

Next, we integrate this inequality with respect to the vertical coordinate $y$ from $0$ to $b$:

$$a' b \leq \iint_{R_{1}} (|f_{z}| + |f_{\bar{z}}|) \, dx \, dy$$

This provides a strict lower bound for the integral of the maximal stretch factor over the entire rectangle.

Applying Cauchy-Schwarz

Extremal Proof

To proceed, we apply the continuous Cauchy-Schwarz inequality for integrals. By carefully separating the integrand into two factors:

$$(a' b)^{2} \leq \left( \iint_{R_{1}} \frac{|f_{z}| + |f_{\bar{z}}|}{|f_{z}| - |f_{\bar{z}}|} \, dx \, dy \right) \left( \iint_{R_{1}} (|f_{z}|^{2} - |f_{\bar{z}}|^{2}) \, dx \, dy \right)$$

Analyzing the Factors

Extremal Proof

The second integral is the Jacobian determinant $J_f$. Integrating the Jacobian over $R_1$ yields the area of the image rectangle $R_2$, which is $a'b'$.

The integrand of the first factor is precisely the local geometric distortion $K_f(z)$. Because we assumed $f$ is a $K$-quasiconformal mapping, $K_f(z) \leq K$ everywhere.

The Extremal Bound

Extremal Proof

Replacing the integrals with these rigorous bounds reduces the inequality to $(a' b)^{2} \leq (K \cdot ab)(a' b')$. Rearranging gives:

$$\frac{a'}{b'} \leq \frac{a}{b} K$$

Defining the modules $m = a/b$ and $m' = a'/b'$, we get $m'/m \leq K$. This lower bound is attained by the affine transformation introduced earlier, proving it minimizes the maximal distortion!

The Beltrami Equation

Teichmüller Theory

We have established that every quasiconformal mapping possesses a bounded Beltrami coefficient $\mu_f$. The converse question asks: given a valid coefficient $\mu$, does there exist a quasiconformal mapping $f$ producing it?

This requires solving the Beltrami Equation:

$$f_{\bar{z}} = \mu(z) f_{z}$$

Measurable Riemann Mapping

Teichmüller Theory

This PDE is definitively solved by the Measurable Riemann Mapping Theorem.

Theorem

For any measurable function $\mu \colon \mathbf{C} \to \mathbf{C}$ satisfying $||\mu||_{\infty} < 1$, there exists a unique quasiconformal homeomorphism $f \colon \mathbf{C} \to \mathbf{C}$ solving the Beltrami equation and normalizing $f(0)=0, f(1)=1, f(\infty)=\infty$.

Teichmüller Spaces

Teichmüller Theory

The Measurable Riemann Mapping Theorem guarantees that Beltrami coefficients $\mu$ (the unit ball in $L^{\infty}$) parameterize all quasiconformal deformations of complex structures.

For a given topological surface $S$, the Teichmüller space $\mathcal{T}(S)$ parameterizes all possible complex structures on $S$ up to isotopy, constructed by taking this infinite-dimensional space of Beltrami coefficients modulo the action of diffeomorphisms isotopic to the identity.

Teichmüller's Theorem

Teichmüller Theory

Generalizing the Grötzsch problem for rectangles to arbitrary Riemann surfaces, Teichmüller's Theorem provides a powerful existence and uniqueness result.

Theorem

In every equivalence class determining a point in $\mathcal{T}(S)$, there exists a unique extremal quasiconformal mapping minimizing the maximal distortion $K$.

Application: 3D Shape Registration

Computer Vision

A central problem in computer vision and graphics is mapping one complex 3D surface to another—for example, registering a 3D scan of a specific human face onto a standardized character model.

Because these two surfaces possess fundamentally different complex structures, a strictly conformal (distortion-free) mapping between them is mathematically impossible. The geometry must be stretched.

Surface Discretization

Discrete Geometry

Unlike volumetric data (e.g., MRI scans) which require 3D voxel grids, a human face is a 2D manifold embedded in $\mathbb{R}^3$.

Consequently, we do not discretize it using voxels. Instead, we represent the surface as a triangular mesh $\mathcal{M} = (V, E, F)$, composed of vertices $V$, edges $E$, and triangular faces $F$.

Discrete Complex Structures

Discrete Geometry

To apply complex analysis to $\mathcal{M}$, we must define a discrete complex structure.

Every Euclidean triangle in $F$ can be mapped isometrically to the complex plane. This induces a piecewise-linear complex coordinate chart across the mesh, allowing us to evaluate angles and Beltrami coefficients at the discrete level.

The Discrete Beltrami Equation

Numerical Analysis

On a triangular mesh, we assume the mapping $f$ is piecewise linear, implying its derivatives $f_z$ and $f_{\bar{z}}$ are constant on each face $T \in F$.

Thus, the Beltrami coefficient $\mu(z)$ becomes a discrete constant $\mu_T$ per triangle. Finding the map $f$ given a target $\mu$ reduces to solving a sparse linear system via Finite Element Methods (FEM).

Teichmüller Space in Facial Analysis

Computer Vision

Every unique discrete facial topology corresponds to a distinct point in the finite-dimensional Teichmüller space $\mathcal{T}(S)$.

When an algorithm registers one face to another, it is computing a mapping between two points in this parameter space. Since there are infinitely many ways to stretch a surface, a rigorous numerical criterion is required.

The Extremal Quasiconformal Map

Computer Vision

Teichmüller's theorem guarantees the existence of exactly one extremal quasiconformal mapping that minimizes the maximum geometric distortion.

This theorem provides numerical registration algorithms with a strictly convergent mathematical target, ensuring the resulting facial mapping is uniquely defined and as distortion-free as theoretically possible.

Optimal Registration

Computer Vision
3D Facial Registration using Quasiconformal Maps

Concluding Remarks

While strictly conformal mappings provide a powerful framework for distortion-free geometry, their rigidity renders them insufficient for many practical engineering problems.

Quasiconformal geometry elegantly relaxes this rigidity. By quantifying bounded distortion through the Beltrami coefficient, we bridge the gap between classical complex analysis and the complex, discrete topologies encountered in the real world.

Ultimately, deep theoretical results like Teichmüller's theorem provide the strict mathematical guarantees necessary for robust numerical algorithms in modern applications.

Thank You

Questions and discussions are welcome.