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C9-3 自指代数形式化规范

模块依赖

from typing import List, Callable, Tuple, Optional, Set, Dict
from dataclasses import dataclass
from abc import ABC, abstractmethod
from no11_number_system import No11Number
from test_C9_1 import SelfReferentialArithmetic
from test_C9_2 import RecursiveNumberTheory

核心数据结构

群结构定义

@dataclass
class GroupElement:
"""群元素的形式化表示"""
value: No11Number
group_id: str # 所属群的标识

def __eq__(self, other: 'GroupElement') -> bool:
return self.value == other.value and self.group_id == other.group_id

def __hash__(self) -> int:
return hash((self.value.value, self.group_id))

class SelfReferentialGroup:
"""自指群的形式化实现"""
def __init__(self,
elements: Set[No11Number],
operation: Callable[[No11Number, No11Number], No11Number],
identity: Optional[No11Number] = None):
self.elements = elements
self.operation = operation
self.identity = identity or self._find_identity()
self._cayley_table: Optional[Dict[Tuple[No11Number, No11Number], No11Number]] = None
self._verify_closure()
self._verify_associativity()
self._verify_identity()
self._verify_inverses()

def operate(self, a: No11Number, b: No11Number) -> No11Number:
"""群运算,保证结果满足self-collapse性质"""
if a not in self.elements or b not in self.elements:
raise ValueError(f"Elements {a}, {b} not in group")
result = self.operation(a, b)
if result not in self.elements:
raise ValueError(f"Operation not closed: {a} * {b} = {result}")
return result

def inverse(self, a: No11Number) -> No11Number:
"""计算群元素的逆元"""
for x in self.elements:
if self.operate(a, x) == self.identity:
return x
raise ValueError(f"No inverse found for {a}")

def is_abelian(self) -> bool:
"""检查群是否是阿贝尔群"""
for a in self.elements:
for b in self.elements:
if self.operate(a, b) != self.operate(b, a):
return False
return True

def subgroup(self, subset: Set[No11Number]) -> 'SelfReferentialGroup':
"""生成子群"""
if not subset.issubset(self.elements):
raise ValueError("Subset contains elements not in group")
return SelfReferentialGroup(subset, self.operation)

def cosets(self, subgroup: 'SelfReferentialGroup') -> List[Set[No11Number]]:
"""计算子群的陪集"""
coset_list = []
remaining = self.elements.copy()

while remaining:
a = remaining.pop()
coset = {self.operate(a, h) for h in subgroup.elements}
coset_list.append(coset)
remaining -= coset

return coset_list

def _find_identity(self) -> No11Number:
"""寻找单位元"""
for e in self.elements:
if all(self.operation(e, x) == x and self.operation(x, e) == x
for x in self.elements):
return e
raise ValueError("No identity element found")

def _verify_closure(self):
"""验证封闭性"""
for a in self.elements:
for b in self.elements:
if self.operation(a, b) not in self.elements:
raise ValueError(f"Operation not closed: {a} * {b}")

def _verify_associativity(self):
"""验证结合律"""
for a in self.elements:
for b in self.elements:
for c in self.elements:
left = self.operation(self.operation(a, b), c)
right = self.operation(a, self.operation(b, c))
if left != right:
raise ValueError(f"Associativity failed: ({a}*{b})*{c} != {a}*({b}*{c})")

def _verify_identity(self):
"""验证单位元性质"""
for x in self.elements:
if self.operation(self.identity, x) != x or self.operation(x, self.identity) != x:
raise ValueError(f"Identity property failed for {x}")

def _verify_inverses(self):
"""验证每个元素都有逆元"""
for a in self.elements:
try:
self.inverse(a)
except ValueError:
raise ValueError(f"Element {a} has no inverse")

环结构定义

class SelfReferentialRing:
"""自指环的形式化实现"""
def __init__(self,
elements: Set[No11Number],
add_op: Callable[[No11Number, No11Number], No11Number],
mul_op: Callable[[No11Number, No11Number], No11Number]):
self.elements = elements
self.add_op = add_op
self.mul_op = mul_op

# 验证环公理
self.additive_group = SelfReferentialGroup(elements, add_op)
self._verify_multiplicative_closure()
self._verify_distributivity()

# 找出特殊元素
self.zero = self.additive_group.identity
self.one = self._find_multiplicative_identity()

def add(self, a: No11Number, b: No11Number) -> No11Number:
"""环的加法运算"""
return self.additive_group.operate(a, b)

def multiply(self, a: No11Number, b: No11Number) -> No11Number:
"""环的乘法运算"""
if a not in self.elements or b not in self.elements:
raise ValueError(f"Elements {a}, {b} not in ring")
result = self.mul_op(a, b)
if result not in self.elements:
raise ValueError(f"Multiplication not closed")
return result

def is_commutative(self) -> bool:
"""检查环是否交换"""
for a in self.elements:
for b in self.elements:
if self.multiply(a, b) != self.multiply(b, a):
return False
return True

def is_integral_domain(self) -> bool:
"""检查是否是整环"""
if not self.is_commutative():
return False

# 检查无零因子
for a in self.elements:
if a == self.zero:
continue
for b in self.elements:
if b == self.zero:
continue
if self.multiply(a, b) == self.zero:
return False
return True

def ideal(self, generators: Set[No11Number]) -> 'Ideal':
"""生成理想"""
return Ideal(self, generators)

def quotient_ring(self, ideal: 'Ideal') -> 'SelfReferentialRing':
"""构造商环"""
# 构造等价类
equivalence_classes = ideal.equivalence_classes()

# 定义商环运算
def quotient_add(cls1: Set[No11Number], cls2: Set[No11Number]) -> Set[No11Number]:
rep1 = next(iter(cls1))
rep2 = next(iter(cls2))
sum_rep = self.add(rep1, rep2)
return ideal.equivalence_class(sum_rep)

def quotient_mul(cls1: Set[No11Number], cls2: Set[No11Number]) -> Set[No11Number]:
rep1 = next(iter(cls1))
rep2 = next(iter(cls2))
prod_rep = self.multiply(rep1, rep2)
return ideal.equivalence_class(prod_rep)

return SelfReferentialRing(equivalence_classes, quotient_add, quotient_mul)

def _find_multiplicative_identity(self) -> Optional[No11Number]:
"""寻找乘法单位元"""
for e in self.elements:
if all(self.mul_op(e, x) == x and self.mul_op(x, e) == x
for x in self.elements if x != self.zero):
return e
return None

def _verify_multiplicative_closure(self):
"""验证乘法封闭性"""
for a in self.elements:
for b in self.elements:
if self.mul_op(a, b) not in self.elements:
raise ValueError(f"Multiplication not closed: {a} * {b}")

def _verify_distributivity(self):
"""验证分配律"""
for a in self.elements:
for b in self.elements:
for c in self.elements:
# 左分配律: a*(b+c) = a*b + a*c
left = self.multiply(a, self.add(b, c))
right = self.add(self.multiply(a, b), self.multiply(a, c))
if left != right:
raise ValueError(f"Left distributivity failed")

# 右分配律: (a+b)*c = a*c + b*c
left = self.multiply(self.add(a, b), c)
right = self.add(self.multiply(a, c), self.multiply(b, c))
if left != right:
raise ValueError(f"Right distributivity failed")

class Ideal:
"""理想的形式化表示"""
def __init__(self, ring: SelfReferentialRing, generators: Set[No11Number]):
self.ring = ring
self.generators = generators
self.elements = self._generate_ideal()

def _generate_ideal(self) -> Set[No11Number]:
"""从生成元生成理想"""
ideal_elements = {self.ring.zero}

# 添加生成元的所有线性组合
for g in self.generators:
for r in self.ring.elements:
# 左理想: r*g
ideal_elements.add(self.ring.multiply(r, g))
# 右理想: g*r
ideal_elements.add(self.ring.multiply(g, r))

# 闭包under加法
changed = True
while changed:
changed = False
new_elements = set()
for a in ideal_elements:
for b in ideal_elements:
sum_elem = self.ring.add(a, b)
if sum_elem not in ideal_elements:
new_elements.add(sum_elem)
changed = True
ideal_elements.update(new_elements)

return ideal_elements

def contains(self, element: No11Number) -> bool:
"""检查元素是否在理想中"""
return element in self.elements

def equivalence_class(self, element: No11Number) -> Set[No11Number]:
"""计算元素的等价类"""
return {self.ring.add(element, i) for i in self.elements}

def equivalence_classes(self) -> List[Set[No11Number]]:
"""计算所有等价类"""
classes = []
remaining = self.ring.elements.copy()

while remaining:
rep = remaining.pop()
eq_class = self.equivalence_class(rep)
classes.append(eq_class)
remaining -= eq_class

return classes

域结构定义

class SelfReferentialField:
"""自指域的形式化实现"""
def __init__(self,
elements: Set[No11Number],
add_op: Callable[[No11Number, No11Number], No11Number],
mul_op: Callable[[No11Number, No11Number], No11Number]):
# 首先验证是环
self.ring = SelfReferentialRing(elements, add_op, mul_op)

# 验证域特有性质
self._verify_field_axioms()

self.zero = self.ring.zero
self.one = self.ring.one

def add(self, a: No11Number, b: No11Number) -> No11Number:
"""域的加法"""
return self.ring.add(a, b)

def multiply(self, a: No11Number, b: No11Number) -> No11Number:
"""域的乘法"""
return self.ring.multiply(a, b)

def multiplicative_inverse(self, a: No11Number) -> No11Number:
"""计算乘法逆元"""
if a == self.zero:
raise ValueError("Zero has no multiplicative inverse")

# 构造非零元素的乘法群
nonzero = self.ring.elements - {self.zero}
mul_group = SelfReferentialGroup(nonzero, self.ring.mul_op)
return mul_group.inverse(a)

def divide(self, a: No11Number, b: No11Number) -> No11Number:
"""域的除法 a/b = a * b^(-1)"""
if b == self.zero:
raise ValueError("Division by zero")
return self.multiply(a, self.multiplicative_inverse(b))

def characteristic(self) -> int:
"""计算域的特征"""
if self.one is None:
return 0

char = 1
sum_val = self.one
while sum_val != self.zero:
sum_val = self.add(sum_val, self.one)
char += 1
if char > len(self.ring.elements):
return 0 # 特征为0
return char

def _verify_field_axioms(self):
"""验证域公理"""
# 验证交换环
if not self.ring.is_commutative():
raise ValueError("Field must be commutative")

# 验证有单位元
if self.ring.one is None:
raise ValueError("Field must have multiplicative identity")

# 验证每个非零元素都有乘法逆元
nonzero = self.ring.elements - {self.ring.zero}
try:
mul_group = SelfReferentialGroup(nonzero, self.ring.mul_op)
except ValueError as e:
raise ValueError(f"Non-zero elements don't form multiplicative group: {e}")

同态映射定义

class AlgebraicHomomorphism(ABC):
"""代数同态的抽象基类"""
@abstractmethod
def map(self, element: No11Number) -> No11Number:
"""同态映射"""
pass

@abstractmethod
def verify_homomorphism_property(self) -> bool:
"""验证同态性质"""
pass

class GroupHomomorphism(AlgebraicHomomorphism):
"""群同态"""
def __init__(self,
source: SelfReferentialGroup,
target: SelfReferentialGroup,
mapping: Callable[[No11Number], No11Number]):
self.source = source
self.target = target
self.mapping = mapping

if not self.verify_homomorphism_property():
raise ValueError("Mapping is not a group homomorphism")

def map(self, element: No11Number) -> No11Number:
"""应用同态映射"""
if element not in self.source.elements:
raise ValueError(f"Element {element} not in source group")
result = self.mapping(element)
if result not in self.target.elements:
raise ValueError(f"Mapping result {result} not in target group")
return result

def kernel(self) -> SelfReferentialGroup:
"""计算同态的核"""
ker_elements = {e for e in self.source.elements
if self.map(e) == self.target.identity}
return self.source.subgroup(ker_elements)

def image(self) -> SelfReferentialGroup:
"""计算同态的像"""
img_elements = {self.map(e) for e in self.source.elements}
return self.target.subgroup(img_elements)

def is_isomorphism(self) -> bool:
"""检查是否是同构"""
# 单射:核只包含单位元
if len(self.kernel().elements) > 1:
return False
# 满射:像等于目标群
if self.image().elements != self.target.elements:
return False
return True

def verify_homomorphism_property(self) -> bool:
"""验证群同态性质: φ(a*b) = φ(a)*φ(b)"""
for a in self.source.elements:
for b in self.source.elements:
left = self.map(self.source.operate(a, b))
right = self.target.operate(self.map(a), self.map(b))
if left != right:
return False
return True

class RingHomomorphism(AlgebraicHomomorphism):
"""环同态"""
def __init__(self,
source: SelfReferentialRing,
target: SelfReferentialRing,
mapping: Callable[[No11Number], No11Number]):
self.source = source
self.target = target
self.mapping = mapping

if not self.verify_homomorphism_property():
raise ValueError("Mapping is not a ring homomorphism")

def map(self, element: No11Number) -> No11Number:
"""应用同态映射"""
if element not in self.source.elements:
raise ValueError(f"Element {element} not in source ring")
result = self.mapping(element)
if result not in self.target.elements:
raise ValueError(f"Mapping result {result} not in target ring")
return result

def verify_homomorphism_property(self) -> bool:
"""验证环同态性质"""
# 验证加法同态: φ(a+b) = φ(a)+φ(b)
for a in self.source.elements:
for b in self.source.elements:
left = self.map(self.source.add(a, b))
right = self.target.add(self.map(a), self.map(b))
if left != right:
return False

# 验证乘法同态: φ(a*b) = φ(a)*φ(b)
for a in self.source.elements:
for b in self.source.elements:
left = self.map(self.source.multiply(a, b))
right = self.target.multiply(self.map(a), self.map(b))
if left != right:
return False

# 验证单位元映射(如果存在)
if self.source.one is not None:
if self.map(self.source.one) != self.target.one:
return False

return True

接口规范

群论接口

class GroupTheoryInterface:
"""群论操作的标准接口"""
def create_cyclic_group(self, n: int) -> SelfReferentialGroup:
"""创建n阶循环群"""
pass

def create_symmetric_group(self, n: int) -> SelfReferentialGroup:
"""创建n次对称群(考虑No-11约束)"""
pass

def direct_product(self, G1: SelfReferentialGroup,
G2: SelfReferentialGroup) -> SelfReferentialGroup:
"""计算群的直积"""
pass

def find_subgroups(self, G: SelfReferentialGroup) -> List[SelfReferentialGroup]:
"""找出所有子群"""
pass

def is_simple_group(self, G: SelfReferentialGroup) -> bool:
"""检查是否是单群"""
pass

环论接口

class RingTheoryInterface:
"""环论操作的标准接口"""
def create_polynomial_ring(self, base_ring: SelfReferentialRing,
variable: str) -> SelfReferentialRing:
"""创建多项式环"""
pass

def create_matrix_ring(self, base_ring: SelfReferentialRing,
n: int) -> SelfReferentialRing:
"""创建n×n矩阵环"""
pass

def find_prime_ideals(self, R: SelfReferentialRing) -> List[Ideal]:
"""找出所有素理想"""
pass

def find_maximal_ideals(self, R: SelfReferentialRing) -> List[Ideal]:
"""找出所有极大理想"""
pass

域论接口

class FieldTheoryInterface:
"""域论操作的标准接口"""
def create_prime_field(self, p: int) -> SelfReferentialField:
"""创建素数阶有限域"""
pass

def field_extension(self, base_field: SelfReferentialField,
irreducible_poly: 'Polynomial') -> SelfReferentialField:
"""通过不可约多项式构造域扩张"""
pass

def splitting_field(self, base_field: SelfReferentialField,
polynomial: 'Polynomial') -> SelfReferentialField:
"""构造分裂域"""
pass

def algebraic_closure(self, field: SelfReferentialField) -> SelfReferentialField:
"""构造代数闭包(在No-11约束下)"""
pass

验证规范

自指性验证

def verify_self_reference(algebraic_structure) -> bool:
"""验证代数结构的自指性质"""
# 1. 运算表是collapse的不动点
# 2. 所有运算结果满足No-11约束
# 3. 结构保持熵增性质
pass

完备性验证

def verify_completeness(algebraic_structure) -> bool:
"""验证代数结构的完备性"""
# 1. 所有必需的运算都已定义
# 2. 所有公理都得到满足
# 3. 与C9-1, C9-2的兼容性
pass

熵增验证

def verify_entropy_increase(operation, inputs, output) -> bool:
"""验证运算的熵增性质"""
# 1. 输出的信息量≥输入的信息量
# 2. 结构复杂度单调增加
# 3. 不可逆性的度量
pass

错误处理规范

所有代数运算必须进行严格的错误检查:

  1. 输入验证: 确保输入元素属于正确的代数结构
  2. 运算封闭性: 确保运算结果仍在结构内
  3. 约束保持: 确保No-11约束始终得到满足
  4. 熵增检查: 确保信息量不减少

性能要求

  1. 群运算: O(1) 对于预计算的Cayley表
  2. 环运算: O(n) 其中n是环的大小
  3. 域运算: O(log n) 对于有限域的运算
  4. 同态计算: O(n²) 对于验证同态性质

测试规范

每个代数结构必须通过以下测试:

  1. 公理测试: 验证所有代数公理
  2. 自指测试: 验证self-collapse性质
  3. 一致性测试: 与C9-1, C9-2的兼容性
  4. 熵增测试: 验证信息量增加
  5. 边界测试: 特殊情况和极限情况