Symmetry set

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A ellipse (red), its evolute (blue), and its symmetry set (green and yellow). the medial axis is just the green portion of the symmetry set. One bi-tangent circle is shown.
A ellipse (red), its evolute (blue), and its symmetry set (green and yellow). the medial axis is just the green portion of the symmetry set. One bi-tangent circle is shown.

The symmetry set is a method for representing the local symmetries of a curve, and can be used as a method for a method for representing the shape of objects by finding the topological skeleton. The medial axis, a subset of the symmetry set is a set of curves which roughly run along the middle of an object.

[edit] The Symmetry Set in 2 dimensions

Let I \subseteq \mathbb{R} be an open interval, and \gamma : I \to \mathbb{R}^2 be a parametrisation of a smooth plane curve.

The symmetry set of \gamma (I) \subset \mathbb{R}^2 is defined to be the closure of the set of centres of circles tangent to the curve at at least distinct two points (bi-tangent circles).

The symmetry set will have endpoints corresponding to vertices of the curve. Such points will lie at cusp of the evolute. At such points the curve will have 4-point contact with the circle.

[edit] The Symmetry set in n dimensions

For a smooth manifold of dimension m in \mathbb{R}^n (clearly we need m < n). The symmetry set of the manifold is the closure of the centres of hyperspheres tangent to the manifold in at least two distinct places.

[edit] The Symmetry Set as a Bifurcation Set

Let U \subseteq \mathbb{R}^m be an open simply connected domian and (u_1\ldots,u_m) := \underline{u} \in U. Let \underline{X} : U \to \R^n be a parametrisation of a smooth piece of manifold. We may define a n parameter faily of functions on the curve, namely

F : \mathbb{R}^n \times U \to \mathbb{R} \ , \quad \mbox{where} \quad F(\underline{x},\underline{u}) = (\underline{x} - \underline{X}) \cdot (\underline{x} - \underline{X}) \ .

This family is called the family of distance squared functions. This is because for a fixed \underline{x}_0 \in \mathbb{R}^n the value of F(\underline{x}_0,\underline{u}) is the square of the distance from \underline{x}_0 to \underline{X} at \underline{X}(u_1\ldots,u_m).

The symmetry set is then the bifurcation set of the family of distance squared functions. I.e. it is the set of \underline{x} \in \R^n such that F(\underline{x},-) has a repeated singularity for some \underline{u} \in U.

By a repeated singularity, we mean that the jacobian matrix is singular. Since we have a family of functions, this is equivalent to \mathcal{r} F = \underline{0}.

The symmetry set is then the set of \underline{x} \in \mathbb{R}^n such that there exist (\underline{u}_1, \underline{u}_2) \in U \times U with \underline{u}_1 \neq \underline{u}_2, and

\mathcal{r} F(\underline{x},\underline{u}_1) = \mathcal{r} F(\underline{x},\underline{u}_2) = \underline{0}

together with the limiting points of this set.