[action-translation] resync: finite_markov.md - #111
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Pull request overview
This PR forward-resyncs the Chinese translation of finite_markov.md to match the current upstream source (while preserving target-only additions), and records sync state metadata for the translation tooling.
Changes:
- Added
translation:frontmatter (title + heading mappings) and performed whole-document content resync. - Normalized many MyST
{code-cell}directives and updated multiple external links (e.g., QuantEcon, Wikipedia). - Added translation sync state file
.translate/state/finite_markov.md.ymlwith source SHA and tooling metadata.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 4 comments.
| File | Description |
|---|---|
| lectures/finite_markov.md | Whole-file resync of the translated lecture content, frontmatter, code-cell markup, and links. |
| .translate/state/finite_markov.md.yml | New translation-sync state metadata (source SHA, sync date, model, mode). |
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| * 第三个状态表示"严重衰退"阶段 | ||
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| 从矩阵中我们可以看出,如果经济当前处于正常增长阶段,那么下个月仍然保持正常增长的概率高达0.971。 | ||
| 从矩阵中我们可以看出,如果经济当前处于正常增长阶段,那么下个月仍然保持正常增长的概率高达0.97。 |
| * 一个随机矩阵 `P` | ||
| * 一个初始状态 `init` | ||
| * 一个正整数 `sample_size`,表示函数应该返回的时间序列长度 |
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| (new_interp_sd)= | ||
| 这给了我们平稳分布的另一种解释方式——它代表了长期内系统在各状态停留的时间比例,前提是{eq}`llnfmc0`中的收敛成立。 | ||
| 这给了我们平稳分布的另一种解释方式——前提是{eq}`llnfmc0`中的收敛成立。 |
| $$ | ||
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| 其中左边的外部期望 $ \mathbb E$ 是关于 $X_t$ 的边际分布 $\psi_t$ 的(参见方程 {eq}`mdfmc2`)。 | ||
| 其中左边的外部期望 $ \mathbb E$ 是关于 $X_t$ 的边际分布 $\psi_t$ 求得的无条件分布(再次参见方程 {eq}`mdfmc2`)。 |
…anslation#116) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
✅ Translation Quality ReviewVerdict: PASS | Model: claude-sonnet-5 | Date: 2026-07-19 📝 Translation Quality
Summary: This is a high-quality, comprehensive resync translation that accurately preserves the mathematical content, terminology, and document structure of the English source. The translation reads fluently in academic Chinese and follows the established glossary consistently. Minor stylistic additions (slight paraphrasing/expansion in a few explanatory sentences) do not affect accuracy or introduce errors. No syntax errors were found in markdown/MyST formatting, math blocks, or code blocks. Excellent handling of complex mathematical notation and LaTeX formatting throughout, with all equations and labels preserved correctly. Consistent and accurate use of established terminology (随机矩阵, 平稳分布, 遍历性, 转移概率, etc.) matching the glossary. Code blocks, directives ({exercise}, {solution}, {figure}, etc.) and cross-references are all correctly preserved and functional. Natural, fluent academic Chinese register that reads smoothly while maintaining technical precision, particularly in the PageRank and Markov chain convergence sections. Suggestions:
🔍 Diff Quality
Summary: The resync correctly updates lectures/finite_markov.md with matching section order, preserved heading hierarchy, and accurate translation metadata mapping all English headings to their Chinese equivalents using proper double-colon notation. This review was generated automatically by action-translation review mode. |
Forward Resync: finite_markov.md
Source: QuantEcon/lecture-python.myst — lectures/finite_markov.md
Source commit:
089e35cThis PR resyncs the translation to match the current source document.
Reason: The translation includes additional font configuration code in the imports (not in source), and adds extra explanatory sentences in a few places (e.g., expanded explanation about main diagonal persistence, expanded explanation about infinite persistence/closed sets). Also minor content restructuring in some paragraphs. These additions beyond the source content mean re-translating from source would lose this content, so TARGET_HAS_ADDITIONS takes priority.
Changes
Whole-file resync applied. The entire document was resynced in a single pass.
Created by action-translation forward resync