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On the Exponential Growth of Geometric Shapes

Nada Almalki, Siddharth Gupta, Othon Michail

TL;DR

This work investigates how geometric structures on a square grid can be grown from a single node with exponential speed under different growth rules. It introduces connectivity and adjacency graph models, along with cycle-preserving and cycle-breaking strategies, to analyze the complexity of constructing final shapes from initial ones. The authors establish polylogarithmic upper bounds for broad shape classes (e.g., $O(k \log n)$ for trees with $k$ turns per root-to-leaf path and $O(\log n)$ for spirals) and matching lower bounds (e.g., $\Omega(\log n)$ and $\Omega(k \log k)$) that illuminate inherent limitations. In the strongest cycle-breaking model with neighbor handover, they present a universal algorithm achieving $O(\log n)$ time for any final shape, highlighting the potential for rapid, centralized shape growth and informing programmable-matter design and self-assembly theory.

Abstract

In this paper, we explore how geometric structures can be grown exponentially fast. The studied processes start from an initial shape and apply a sequence of centralized growth operations to grow other shapes. We focus on the case where the initial shape is just a single node. A technical challenge in growing shapes that fast is the need to avoid collisions caused when the shape breaks, stretches, or self-intersects. We identify a parameter $k$, representing the number of turning points within specific parts of a shape. We prove that, if edges can only be formed when generating new nodes and cannot be deleted, trees having $O(k)$ turning points on every root-to-leaf path can be grown in $O(k\log n)$ time steps and spirals with $O(\log n)$ turning points can be grown in $O(\log n)$ time steps, $n$ being the size of the final shape. For this case, we also show that the maximum number of turning points in a root-to-leaf path of a tree is a lower bound on the number of time steps to grow the tree and that there exists a class of paths such that any path in the class with $Ω(k)$ turning points requires $Ω(k\log k)$ time steps to be grown. If nodes can additionally be connected as soon as they become adjacent, we prove that if a shape $S$ has a spanning tree with $O(k)$ turning points on every root-to-leaf path, then the adjacency closure of $S$ can be grown in $O(k \log n)$ time steps. In the strongest model that we study, where edges can be deleted and neighbors can be handed over to newly generated nodes, we obtain a universal algorithm: for any shape $S$ it gives a process that grows $S$ from a single node exponentially fast.

On the Exponential Growth of Geometric Shapes

TL;DR

This work investigates how geometric structures on a square grid can be grown from a single node with exponential speed under different growth rules. It introduces connectivity and adjacency graph models, along with cycle-preserving and cycle-breaking strategies, to analyze the complexity of constructing final shapes from initial ones. The authors establish polylogarithmic upper bounds for broad shape classes (e.g., for trees with turns per root-to-leaf path and for spirals) and matching lower bounds (e.g., and ) that illuminate inherent limitations. In the strongest cycle-breaking model with neighbor handover, they present a universal algorithm achieving time for any final shape, highlighting the potential for rapid, centralized shape growth and informing programmable-matter design and self-assembly theory.

Abstract

In this paper, we explore how geometric structures can be grown exponentially fast. The studied processes start from an initial shape and apply a sequence of centralized growth operations to grow other shapes. We focus on the case where the initial shape is just a single node. A technical challenge in growing shapes that fast is the need to avoid collisions caused when the shape breaks, stretches, or self-intersects. We identify a parameter , representing the number of turning points within specific parts of a shape. We prove that, if edges can only be formed when generating new nodes and cannot be deleted, trees having turning points on every root-to-leaf path can be grown in time steps and spirals with turning points can be grown in time steps, being the size of the final shape. For this case, we also show that the maximum number of turning points in a root-to-leaf path of a tree is a lower bound on the number of time steps to grow the tree and that there exists a class of paths such that any path in the class with turning points requires time steps to be grown. If nodes can additionally be connected as soon as they become adjacent, we prove that if a shape has a spanning tree with turning points on every root-to-leaf path, then the adjacency closure of can be grown in time steps. In the strongest model that we study, where edges can be deleted and neighbors can be handed over to newly generated nodes, we obtain a universal algorithm: for any shape it gives a process that grows from a single node exponentially fast.
Paper Structure (15 sections, 21 theorems, 7 figures, 1 algorithm)

This paper contains 15 sections, 21 theorems, 7 figures, 1 algorithm.

Key Result

Proposition 2

For the models of Definition def:models, the following properties hold:

Figures (7)

  • Figure 1: (a) Initial tree $T$. (b) The tree $T'$ after a growth operation on node $u$ moves north to generate a new node $u'$ without any collision. (c) Illustration of a node collision scenario: the $T'$ here is a result of a growth operation applied on node $u$ toward the east, where a node $v$ already exists and $uv\notin E$. The newly generated node $u'$ occupies the same position as $v$, leading to a node collision. (d) Another scenario of a node collision: two nodes $u_1$ and $u_2$ simultaneously grow in the east direction and generate $u_1'$ and $u_2'$, though $u_1'$ and $u_2'$ do not collide directly, their growth pushes their branch into an adjacent branch, leading to a collision.
  • Figure 2: An example of a cycle collision within the shape $S$ due to unequal displacement vectors along the two paths $p_1$ and $p_2$, thus, $\vec{v}_{p_1}\neq \vec{v}_{p_2}$. In particular, the number of generated nodes (gray nodes) along $p_2$ is greater than that along $p_1$. This difference in the number of generated nodes leads to a collision within the cycle, indicating an irregularity in the shape $S'$.
  • Figure 3: (a) An illustration of turning points (drawn by cross points) of an incompressible spiral path $P$. (b) An illustration of the path $\widehat{P}$ constructed by $\sigma$ in the Base Case in the proof of Lemma \ref{['lem:lowerBound2']}. The black (blue) part of $\widehat{P}$ shows the subpath, which is the same as (different from) $P$. The dotted green line shows the direction in which $tp_5$ will be generated. (c) An illustration of the path $\widehat{P}$ constructed by $\sigma$ in the Inductive step in the proof of Lemma \ref{['lem:lowerBound2']} for $t > 6$. The black (blue) part of $\widehat{P}$ shows the subpath, which is the same as (different from) $P$. The dotted green line shows the direction in which $tp_t$ will be generated.
  • Figure 4: An illustration of an incompressible path consisting of a red and a blue spiral used in the proof of Theorem \ref{['the:lowerBound']}. The green square vertex $u$ denotes the internal endpoint of both spirals.
  • Figure 5: An illustration of the modified BFS approach for growing adjacent line segments in the shape without collisions. In this example, the growth of sub-segment $s_{2,1}$ of $s_2$ during phase $i=2$ involves growing its length from the adjacent previously grown line segment $s_1$. Furthermore, when two adjacent line segments are growing in parallel, such as $s_3$, they are separated based on whether they are positioned in an even or odd row of $T$.
  • ...and 2 more figures

Theorems & Definitions (25)

  • Definition 1
  • Proposition 2
  • Proposition 3
  • Definition 4: Staircase
  • Definition 5: Spiral
  • Proposition 6
  • Lemma 7
  • Corollary 8
  • Theorem 9
  • Theorem 10
  • ...and 15 more