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---
title: "不动点 (Fixed Point)"
type: concept
tags: [math, recursion, formalization, fixed-point]
---
## Definition
在递归自优化生成系统中,稳定生成能力定义为自映射 $\Phi$ 的不动点:
$$G^* \in \mathcal{G}, \quad \Phi(G^*) = G^*$$
## Core Insight
不动点生成器具有"自洽性":它在自身的"生成→优化→更新"循环中保持不变。这意味着:
1. 该生成器的输出已经内含了改进所需的所有标准
2. 继续迭代不再带来质变,系统达到"生成能力稳定"状态
## Mathematical Characterization
当 $\Phi$ 满足适当的连续性或收缩性条件时,不动点可通过迭代极限获得:
$$G^* = \lim_{n \to \infty} \Phi^n(G_0)$$
## Relationship to Self-Reference
不动点与自引用self-reference密切相关
- 生成器通过不动点组合子 $Y$ 定义为:$G^* \equiv Y\;\text{STEP}$
- 满足 $G^* = \text{STEP}\;G^*$,即"用自身定义自身"
## Why It Matters
- 传统优化:搜索输出空间中的最优解(可能不存在或不稳定)
- 递归自优化:寻找生成器空间中的不动点(稳定的生成机制)
## Source
- [[A Formalization of Recursive Self-Optimizing Generative Systems]]