math-reasoning

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Original

English
🇨🇳

Translation

Chinese

Mathematical Reasoning

数学推理

Perform rigorous mathematical reasoning and produce publication-quality LaTeX output.
执行严谨的数学推理并生成达到出版级别的LaTeX输出。

Input

输入

  • $0
    — Task type:
    derive
    ,
    prove
    ,
    formalize
    ,
    stats
    ,
    notation
    ,
    verify
  • $1
    — Context: equation, theorem statement, problem description, or data description
  • $0
    — 任务类型:
    derive
    (推导)、
    prove
    (证明)、
    formalize
    (形式化)、
    stats
    (统计)、
    notation
    (符号)、
    verify
    (验证)
  • $1
    — 上下文:方程、定理陈述、问题描述或数据描述

Tasks

任务

derive
— Step-by-step equation derivation

derive
— 分步方程推导

Show every intermediate step. Justify each with the rule applied. Box final result with
\boxed{}
. Number important equations with
\label{eq:name}
.
展示每一个中间步骤。用所应用的规则为每一步提供依据。用
\boxed{}
框住最终结果。为重要方程编号,格式为
\label{eq:name}

prove
— Formal theorem proof

prove
— 正式定理证明

Use appropriate technique: direct, contradiction, induction, construction, or cases. See
references/proof-templates.md
for LaTeX templates.
使用合适的方法:直接证明、反证法、归纳法、构造法或分情况讨论。可参考
references/proof-templates.md
中的LaTeX模板。

formalize
— Problem setting formalization

formalize
— 问题设定形式化

Convert informal description into formal mathematical framework with: variable definitions, domain/range specifications, assumptions, objective function.
将非正式描述转换为正式的数学框架,包括:变量定义、定义域/值域说明、假设条件、目标函数。

stats
— Statistical test selection

stats
— 统计检验选择

Use the decision tree in
references/notation-guide.md
to select appropriate tests. Report p-values, effect sizes, confidence intervals.
使用
references/notation-guide.md
中的决策树选择合适的检验方法。报告p值、效应量、置信区间。

notation
— Generate notation table

notation
— 生成符号表

Create a
\begin{table}
with all symbols used in the paper. Use standard ML notation from
references/notation-guide.md
.
创建一个
\begin{table}
环境,列出论文中使用的所有符号。使用
references/notation-guide.md
中的标准ML符号。

verify
— Check mathematical correctness

verify
— 检查数学正确性

Verify: dimensional consistency, boundary cases, gradient computations, notation consistency across sections.
验证:维度一致性、边界情况、梯度计算、各章节间的符号一致性。

References

参考资料

  • Standard ML notation + statistical tests:
    ~/.claude/skills/math-reasoning/references/notation-guide.md
  • Proof templates and theorem environments:
    ~/.claude/skills/math-reasoning/references/proof-templates.md
  • 标准ML符号 + 统计检验:
    ~/.claude/skills/math-reasoning/references/notation-guide.md
  • 证明模板和定理环境:
    ~/.claude/skills/math-reasoning/references/proof-templates.md

Rules

规则

  • Define ALL symbols before first use: "Let $\mathcal{X}$ denote..."
  • Use consistent notation throughout the paper
  • Number equations that are referenced later
  • Use
    \tag{reason}
    for key derivation steps
  • State assumptions explicitly
  • Cite lemmas and prior results used in proofs
  • 所有符号在首次使用前必须定义:“令$\mathcal{X}$表示...”
  • 整篇论文中使用一致的符号
  • 为后续会引用的方程编号
  • 对关键推导步骤使用
    \tag{reason}
  • 明确陈述假设条件
  • 在证明中引用所使用的引理和先前结果

Related Skills

相关技能

  • Upstream: research-planning
  • Downstream: algorithm-design, paper-writing-section
  • See also: symbolic-equation, data-analysis
  • 上游:研究规划
  • 下游:算法设计论文章节撰写
  • 另见:符号方程数据分析