A note on Reeb spaces of some explicit real analytic functions

This paper presents the Reeb spaces of explicit real analytic functions that are not finite graphs, extending previous studies on smooth functions by incorporating topological considerations of level sets and real algebraic constructions.

Naoki Kitazawa

Published 2026-03-04
📖 5 min read🧠 Deep dive

Imagine you have a giant, complex piece of dough (a mathematical manifold). You want to understand its shape, but it's too big and twisted to look at all at once. So, you decide to slice it.

You take a knife and slice the dough horizontally, layer by layer. Each slice is a level set. If you look at just one slice, you might see a circle, a figure-eight, or a bunch of disconnected islands.

Now, imagine you take all those slices and stack them up, but instead of keeping them separate, you glue together any pieces of dough that are connected within the same slice. You squish each connected piece of dough down into a single dot.

The result of this squishing process is a new, simpler shape called the Reeb Space. It's like a shadow or a skeleton of your original dough, showing you how the pieces connect as you move from the bottom of the dough to the top.

The Big Question: What does this skeleton look like?

For a long time, mathematicians knew that if your dough is a nice, closed shape (like a sphere or a donut) and you slice it carefully, this skeleton usually looks like a finite graph. Think of a finite graph as a simple stick-figure drawing made of a limited number of dots (vertices) and lines (edges). It's tidy, countable, and easy to draw on a napkin.

Problem 1: Can we build a dough shape so that its skeleton is exactly the stick-figure drawing we want?
Answer: Yes, for simple drawings, we can.

Problem 2: Can we do this using "perfect" mathematical dough (called Real Analytic functions)?
Answer: This is harder. "Perfect" dough is rigid; you can't just glue pieces together with tape (like you can with smooth, flexible dough). It has to be one continuous, unbroken mathematical formula.

Problem 3 (The Focus of this Paper): What if the skeleton we want is infinite?
Imagine a stick-figure drawing that has an endless number of branches, like a tree that never stops growing, or a road that keeps splitting forever. Can we build a "perfect" dough shape that creates this infinite skeleton?

The Author's Solution: The Infinite Tree

Naoki Kitazawa, the author of this paper, says: "Yes, we can."

He constructs two specific examples to prove this:

Example 1: The Infinite Road (The Non-Compact Case)

Imagine a long, endless road that stretches to infinity. Along this road, there are infinitely many "rest stops" (critical points).

  • The Dough: Kitazawa builds a shape that is infinite in size (non-compact).
  • The Slices: As you move along the road, the slices of dough change shape. Sometimes they are circles, sometimes they disappear.
  • The Skeleton: When you squish the connected parts together, you get an infinite graph. It looks like a line with infinitely many little loops or branches attached to it.
  • The Magic: He proves that even though the shape is infinite, it is made of a single, perfect mathematical formula (a real analytic function). It's not a patchwork job; it's one continuous, elegant equation.

Example 2: The "Peano" Blob (The Compact Case)

This is the trickier part. Usually, if your dough is a closed, finite shape (like a ball), the skeleton must be a finite graph. But Kitazawa asks: What if we break the rules just a tiny bit?

He creates a closed, finite dough shape. However, the skeleton it produces is weird.

  • The Shape: It looks like a finite graph (a tree), but at the very top, all the branches don't just end; they get infinitely close together, squeezing into a single point.
  • The "Peano" Continuum: This shape is called a Peano continuum. Imagine a tree where the branches get smaller and smaller, infinitely, until they all merge into a fuzzy, dense point at the top.
  • The Twist: If you remove that one fuzzy point at the top, the rest of the shape is a perfect, infinite tree (an E-graph). But with the point included, it's a new, strange object that has never been seen as a Reeb space before.
  • The Construction: He uses a special mathematical function that behaves wildly near zero (oscillating like a sine wave that gets faster and faster) to create this "fuzzy" point.

Why Does This Matter?

Think of it like this:

  • Old Math: "If you build a house, the blueprint must be a simple, finite drawing."
  • Kitazawa's Math: "Actually, if you use the right kind of 'perfect' bricks (real analytic functions), you can build a house whose blueprint is an infinite, fractal-like structure that fits inside a finite box."

He shows that the world of "perfect" mathematical shapes is much more flexible and surprising than we thought. Even with the strict rules of real analytic functions, you can create structures that have infinite complexity, yet remain mathematically beautiful and precise.

In a Nutshell

Kitazawa took a complex mathematical tool (Reeb spaces), which usually produces simple, finite drawings, and showed that by using "perfect" mathematical formulas, you can generate infinite, complex skeletons. He built two models: one that stretches to infinity, and one that is finite but contains an infinite, fractal-like secret at its core. This expands our understanding of how shapes and functions relate to each other in the universe of mathematics.