返回技能列表

solve-modular-arithmetic

pjt222
更新于 2 days ago
6 次查看
17
2
17
在 GitHub 上查看
其他ai

关于

This skill solves modular arithmetic problems including linear congruences, systems via the Chinese Remainder Theorem (CRT), and modular inverses. It applies algorithms like the extended Euclidean algorithm and Euler's theorem for computations such as large modular exponentiations. Use it when working with cyclic groups, discrete logarithms, or needing both manual and computational approaches to modular operations.

快速安装

Claude Code

推荐
主要方式
npx skills add pjt222/agent-almanac -a claude-code
插件命令备选方式
/plugin add https://github.com/pjt222/agent-almanac
Git 克隆备选方式
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/solve-modular-arithmetic

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

Solve Modular Arithmetic

Solve modular arithmetic problems by parsing congruence systems, applying the extended Euclidean algorithm for inverses, using the Chinese Remainder Theorem for simultaneous congruences, and leveraging Euler's theorem for modular exponentiation. Verify every solution by substitution.

When to Use

  • Solving a single linear congruence ax = b (mod m)
  • Solving a system of simultaneous congruences (Chinese Remainder Theorem)
  • Computing a modular inverse a^{-1} (mod m)
  • Evaluating large modular exponentiations a^k (mod m)
  • Determining the order of an element in Z/mZ
  • Working with cyclic groups, primitive roots, or discrete logarithm contexts

Inputs

  • Required: The congruence(s) or modular equation to solve
  • Optional: Whether to show the extended Euclidean algorithm steps explicitly
  • Optional: Whether Euler's theorem or Fermat's little theorem should be applied
  • Optional: Whether to find primitive roots or element orders
  • Optional: Output format (step-by-step, compact, or proof-style)

Procedure

Step 1: Parse the Congruence System or Modular Equation

Extract the mathematical structure from the problem statement.

  1. Identify the type:

    • Single linear congruence: ax = b (mod m)
    • System of congruences: x = a1 (mod m1), x = a2 (mod m2), ...
    • Modular exponentiation: a^k (mod m)
    • Modular inverse: find a^{-1} (mod m)
  2. Normalize: Reduce all coefficients modulo their respective moduli. Ensure a, b, m are non-negative integers with m > 0.

  3. Record the parsed problem in standard notation.

Got: A clearly parsed and normalized modular problem with all values reduced.

If fail: If the notation is ambiguous (e.g., "solve 3x + 5 = 2 mod 7" could mean 3x + 5 = 2 (mod 7) or 3x + (5 = 2 mod 7)), clarify with the user. Default to interpreting mod as applying to the entire equation.

Step 2: Solve a Single Congruence (if applicable)

Solve ax = b (mod m) using the extended Euclidean algorithm.

  1. Compute g = gcd(a, m) using the Euclidean algorithm:

    • Apply repeated division: m = q1a + r1, a = q2r1 + r2, ... until remainder = 0.
    • The last non-zero remainder is gcd(a, m).
  2. Check solvability: ax = b (mod m) has a solution if and only if g | b.

    • If g does not divide b, the congruence has no solution. Stop.
  3. Reduce: Divide through by g to get (a/g)x = (b/g) (mod m/g). Now gcd(a/g, m/g) = 1.

  4. Find the modular inverse of a/g modulo m/g using the extended Euclidean algorithm:

    • Back-substitute through the Euclidean algorithm steps to express gcd as a linear combination: 1 = (a/g)*s + (m/g)*t.
    • The coefficient s (reduced mod m/g) is the inverse.
  5. Compute the particular solution: x0 = s * (b/g) mod (m/g).

  6. Write the general solution: x = x0 + (m/g)*k for k = 0, 1, ..., g - 1 gives all g incongruent solutions modulo m.

Extended Euclidean algorithm example (finding 17^{-1} mod 43):

43 = 2*17 + 9
17 = 1*9  + 8
 9 = 1*8  + 1
 8 = 8*1  + 0

Back-substitute:
1 = 9 - 1*8
  = 9 - 1*(17 - 1*9) = 2*9 - 17
  = 2*(43 - 2*17) - 17 = 2*43 - 5*17

So 17*(-5) = 1 (mod 43), i.e., 17^{-1} = -5 = 38 (mod 43).

Got: The complete solution set for the congruence, or a proof that no solution exists.

If fail: If the extended Euclidean back-substitution produces the wrong result, verify each division step. The most common error is a sign mistake during back-substitution. Check: a * inverse mod m should equal 1.

Step 3: Solve a System via the Chinese Remainder Theorem (if applicable)

Solve x = a1 (mod m1), x = a2 (mod m2), ..., x = ak (mod mk).

  1. Check pairwise coprimality: For every pair (mi, mj), verify gcd(mi, mj) = 1.

    • If all pairs are coprime, CRT applies directly.
    • If some pairs are not coprime, check compatibility: for each non-coprime pair, verify ai = aj (mod gcd(mi, mj)). If compatible, reduce using lcm. If incompatible, no solution exists.
  2. Compute M = m1 * m2 * ... * mk (the product of all moduli).

  3. For each i, compute Mi = M / mi (the product of all moduli except mi).

  4. For each i, find yi = Mi^{-1} (mod mi) using the extended Euclidean algorithm from Step 2.

  5. Compute the solution: x = sum(ai * Mi * yi for i = 1..k) mod M.

  6. State the result: x = [value] (mod M). This is the unique solution modulo M.

Common totients reference:

nphi(n)nphi(n)nphi(n)
21104208
321110248
421242520
541312308
621463612
761584816
841686016
9618610040

Got: A unique solution modulo M, or a proof of incompatibility.

If fail: If the CRT computation yields a result that fails verification, check the modular inverse computations in step 4. A common mistake is computing Mi^{-1} mod M instead of Mi^{-1} mod mi. Each inverse is computed modulo the individual modulus, not the product.

Step 4: Apply Euler's Theorem or Fermat's Little Theorem (if applicable)

Evaluate modular exponentiations or simplify expressions using Euler's theorem.

  1. Euler's theorem: If gcd(a, m) = 1, then a^{phi(m)} = 1 (mod m).

    • Compute phi(m) using the totient formula: if m = p1^e1 * p2^e2 * ... * pk^ek, then phi(m) = m * product((1 - 1/pi) for each prime pi dividing m).
  2. Fermat's little theorem (special case): If p is prime and gcd(a, p) = 1, then a^{p-1} = 1 (mod p).

  3. Reduce the exponent: To compute a^k (mod m):

    • Compute r = k mod phi(m).
    • Then a^k = a^r (mod m).
  4. Compute a^r (mod m) using repeated squaring (binary exponentiation):

    • Write r in binary: r = b_n * 2^n + ... + b_1 * 2 + b_0.
    • Start with result = 1.
    • For each bit from most significant to least: result = result^2 mod m; if bit is 1, result = result * a mod m.
  5. Handle the case gcd(a, m) > 1: Euler's theorem does not apply directly. Factor m and use CRT to combine results from prime power moduli, using lifting the exponent or direct computation.

Got: The value of a^k (mod m), computed via exponent reduction and repeated squaring.

If fail: If gcd(a, m) > 1 and the result seems wrong, do not apply Euler's theorem. Instead, compute directly or factor m into coprime parts where at least some parts are coprime to a, solve modulo each part, and recombine with CRT.

Step 5: Verify Solution by Substitution

Check every solution by plugging it back into the original equations.

  1. For single congruences: Compute a * x mod m and verify it equals b.

  2. For CRT systems: For each congruence x = ai (mod mi), verify x mod mi = ai.

  3. For modular exponentiations: If possible, verify with a second computational method (e.g., direct computation for small values, or independent repeated squaring implementation).

  4. Document the verification explicitly:

Solution: x = 23
Check 1: 23 mod 3 = 2 = a1. Correct.
Check 2: 23 mod 5 = 3 = a2. Correct.
Check 3: 23 mod 7 = 2 = a3. Correct.
All congruences satisfied.

Got: All original equations verified with explicit computation shown.

If fail: If verification fails, trace back through the procedure to find the computational error. Common sources: arithmetic mistakes in the extended Euclidean algorithm, wrong sign in back-substitution, or forgetting to reduce modulo M in the final CRT step.

Validation

  • Problem type is correctly identified (single congruence, system, exponentiation, inverse)
  • All coefficients are reduced modulo their respective moduli
  • For ax = b (mod m): gcd(a, m) | b is checked before solving
  • Extended Euclidean algorithm back-substitution is verified: a * inverse mod m = 1
  • For CRT: pairwise coprimality is verified before applying the theorem
  • For CRT with non-coprime moduli: compatibility is checked
  • Euler's theorem is applied only when gcd(a, m) = 1
  • Totient phi(m) is computed from the prime factorization, not guessed
  • Repeated squaring uses modular reduction at every step (no overflow)
  • Every solution is verified by substitution into the original equations

Pitfalls

  • Applying CRT without coprimality check: The standard CRT formula requires pairwise coprime moduli. Applying it to non-coprime moduli gives a wrong answer, not an error. Always check gcd(mi, mj) = 1 first.

  • Computing the wrong inverse: Mi^{-1} must be computed modulo mi (the individual modulus), not modulo M (the product). This is the single most common CRT implementation error.

  • Applying Euler's theorem when gcd(a, m) > 1: a^{phi(m)} = 1 (mod m) requires gcd(a, m) = 1. If this fails, the theorem does not apply and the result is wrong.

  • Sign errors in extended Euclidean back-substitution: Keep careful track of signs at each step. The final inverse may be negative; always reduce modulo m to get a positive representative.

  • Overflow in modular exponentiation: Even with repeated squaring, intermediate products can overflow. Always reduce modulo m after every multiplication, not just at the end.

  • Forgetting multiple solutions: ax = b (mod m) with g = gcd(a, m) > 1 and g | b has exactly g incongruent solutions modulo m, not just one.

Related Skills

  • analyze-prime-numbers -- Prime factorization is needed to compute phi(m) and to verify coprimality
  • explore-diophantine-equations -- Linear Diophantine equations ax + by = c are equivalent to linear congruences ax = c (mod b)
  • prove-geometric-theorem -- Modular arithmetic appears in constructibility proofs (e.g., which regular n-gons are constructible)

GitHub 仓库

pjt222/agent-almanac
路径: i18n/caveman-lite/skills/solve-modular-arithmetic
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

相关推荐技能

llamaguard

其他

LlamaGuard是Meta推出的7-8B参数内容审核模型,专门用于过滤LLM的输入和输出内容。它能检测六大安全风险类别(暴力/仇恨、性内容、武器、违禁品、自残、犯罪计划),准确率达94-95%。开发者可通过HuggingFace、vLLM或Sagemaker快速部署,并能与NeMo Guardrails集成实现自动化安全防护。

查看技能

cost-optimization

其他

这个Claude Skill帮助开发者优化云成本,通过资源调整、标记策略和预留实例来降低AWS、Azure和GCP的开支。它适用于减少云支出、分析基础设施成本或实施成本治理策略的场景。关键功能包括提供成本可视化、资源规模调整指导和定价模型优化建议。

查看技能

quantizing-models-bitsandbytes

其他

这个Skill使用bitsandbytes库量化大语言模型,能在GPU内存有限时通过8位或4位量化减少50-75%内存占用,同时保持精度损失最小。它支持INT8、NF4、FP4等多种量化格式,可与HuggingFace Transformers无缝集成,适用于需要部署更大模型或加速推理的场景。还提供QLoRA训练和8位优化器支持,让开发者能轻松实现高效模型压缩。

查看技能

dispatching-parallel-agents

其他

该Skill用于并行处理3个以上无依赖关系的独立故障,可为每个问题域分派专属Claude代理同时执行调查修复。它通过并发处理多个独立问题显著提升故障排查效率,特别适用于测试文件、子系统等无共享状态的场景。

查看技能