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Final Comprehensive Review NotesFinal 综合复习笔记

Complete knowledge summary of 8 practice problems organized from Notion notes基于 Notion 笔记整理的8道练习题完整知识点总结

Covering set theory, logical reasoning, function counting, number theory, graph theory and other core concepts包含集合理论、逻辑推理、函数计数、数论、图论等核心概念

第一题:集合的势与运算

掌握集合的基数计算、并集交集的性质、以及函数计数的基本方法

核心概念

集合的势 (Cardinality)

∈ (属于)⊆ (子集) 是集合论的基础关系。

对于连续整数集合,使用公式:(最后一个 - 第一个) + 1

集合运算公式

运算类型 符号 含义 区间处理
并集 (Union) $\bigcup S_n$ 存在于某些集合中 最小下界到最大上界
交集 (Intersection) $\bigcap S_n$ 存在于所有集合中 最大下界到最小上界
子集的集合 $\{X \mid X \subseteq A\}$ A的所有子集 幂集 $\mathcal{P}(A)$

函数计数

从大小为 m 的集合到大小为 n 的集合

所有函数

$n^m$

每个自变量有 n 种选择

单射函数

$P(n,m)$

条件:$m \leq n$

满射函数

存在条件

条件:$m \geq n$

示例计算

题目设定:A 是由16个集合组成的集合,每个集合 $S_n$ 为连续整数区间

  • A的势: $|A| = 16$ (集合的集合)
  • 并集B: $|B| = 1647$ (所有区间的合并)
  • 子集集合C: $|C| = 16$ (等于A本身)
  • 交集D: $|D| = 327$ (所有区间的重叠部分)
  • 空集E: $|E| = 0$ (空集没有元素)

第二题:逻辑等价与命题转换

掌握英文逻辑句式到符号表达式的转换,以及逻辑等价的核心规则

解题三步法

1

简化问题

用简单字母 PQ 代替复杂术语

P = "X is skew-differentiable"
Q = "X is quantised"

2

掌握核心规则

$A \to B \equiv \neg A \lor B$

这是连接"if-then"和"or"的关键桥梁

3

分组解析

将相似的逻辑表达式归类分组

找出等价命题的共同模式

符号含义速查表

符号含义英文表达示例
$\to$蕴含if... then...if P, then Q
$\land$合取andP and Q
$\lor$析取orP or Q
$\neg$否定notnot P

等价分组结果

第一组:$P \to Q$

命题编号:{1, 6, 8}

  • (1) if P, then Q
  • (6) P only if Q
  • (8) Q if P

第二组:$Q \to P$

命题编号:{3, 5}

  • (3) if Q, then P
  • (5) P or not Q ($P \lor \neg Q$)

等价原因:$Q \to P \equiv \neg Q \lor P$

第三组:$P \lor Q$

命题编号:{4, 7}

  • (4) if not Q, then P
  • (7) P or Q

等价原因:$\neg Q \to P \equiv Q \lor P$

第四组:$P \land \neg Q$

命题编号:{2}

  • (2) P and not Q

独立组:是第一组的否定

第三题:集合运算与对称差

理解交集、并集、对称差的性质,掌握集合包含关系的证明方法

题目设定

基本集合与派生集合

基本集合

A, B, C

派生集合
  • $X = A \cap B$ (交集:A并且B)
  • $Y = A \cup C$ (并集:A或者C)
  • $Z = A \oplus B$ (对称差:只在A或只在B)

对称差的关键定义

$$A \oplus B = (A \cup B) \setminus (A \cap B)$$

对称差包含属于A或属于B,但不同时属于A和B的元素。

graph LR A[集合A] --> AB[A∩B
共同部分] B[集合B] --> AB A --> AnotB[A\B
只在A中] B --> BnotA[B\A
只在B中] AnotB --> Z[Z = A⊕B
对称差] BnotA --> Z style Z fill:#ff9999 style AB fill:#99ccff

解题策略对比

策略一:举例验证法

优点:速度快,直观,适合考试

缺点:可能误判,例子成立不代表永远成立

示例:

设 A={1,2,3}, B={2,3,4}, C={1,5}

  • X = A∩B = {2,3}
  • Y = A∪C = {1,2,3,5}
  • Z = A⊕B = {1,4}

策略二:形式化证明/反例法

优点:结论100%可靠,理解本质

缺点:需要更多时间和逻辑推理

反例构造:

对命题(1) $Y \subseteq X \cup Z$:

令 A={1}, B={2}, C={3}

  • Y = {1,3}, X∪Z = {1,2}
  • 因为 3∈Y 但 3∉X∪Z,所以命题不成立

永远为真的命题

命题分析结果:{3, 5, 8}

(8) $X \subseteq Y$ 为真

原因:$X = A \cap B \subseteq A \subseteq A \cup C = Y$

(3) $X \cap Z \subseteq Y$ 为真

原因:X是公共部分,Z是非公共部分,它们的交集为空集,空集是任何集合的子集

(5) $X \subseteq Y \cup Z$ 为真

原因:基于命题(8),X⊆Y 自然包含在更大的集合 Y∪Z 中

第四题:向下取整函数证明

学会用反例法推翻错误命题,理解向下取整函数的性质

题目与关键定义

待证命题

"x是整数" ⟺ "⌊0.628x⌋ + ⌊0.372x⌋ = x"

向下取整函数:⌊y⌋ 表示不大于 y 的最大整数

例如:⌊7.9⌋ = 7,⌊-4.1⌋ = -5

重要启示:不要盲信题目

即使是"证明题",其命题本身也可能是错误的。在开始复杂证明前,先用简单数字检验。

标准反例证明步骤

1

声明要反驳的命题

我们将通过反例来反驳:"如果 x 是整数,那么 ⌊0.628x⌋ + ⌊0.372x⌋ = x"

2

给出反例

令 x = 1。显然 x = 1 满足"是整数"的前提条件。

3

计算等式左边(LHS)

LHS = ⌊0.628×1⌋ + ⌊0.372×1⌋

= ⌊0.628⌋ + ⌊0.372⌋

= 0 + 0 = 0

4

计算等式右边(RHS)

RHS = x = 1

5

得出矛盾

LHS = 0 ≠ 1 = RHS

因此当 x = 1 时,等式不成立。

6

下结论

由于找到了反例,"当且仅当"命题的一个方向不成立,因此整个原命题是伪命题

核心启示

  • 检验的力量:用简单数字检验是发现问题最有效的方法
  • 反例的威力:一个反例足以推翻"永远成立"的命题
  • 批判性思维:不要盲目相信题目的正确性

第五题:线性同余方程

掌握线性同余方程的解题方法,包括解的存在性判断和求解技巧

核心定理:解的存在性与数量

万能钥匙公式

对于方程 $$ax \equiv b \pmod{m}$$

无解条件

如果 $d = \gcd(a,m)$ 不能整除 $b$

则解的数量 $n = 0$

有解条件

如果 $d = \gcd(a,m)$ 可以整除 $b$

则恰好有 $d$ 个不同的解

标准解法流程

示例:$$60x \equiv 195 \pmod{325}$$

1
求最大公约数

用欧几里得算法计算 $d = \gcd(60, 325) = 5$

2
判断解的存在性

检查 $d$ 能否整除 $b$:$5 \mid 195$ ✓

因此方程有 $5$ 个解

3
简化方程

方程两边和模数同时除以 $d = 5$:

$$12x \equiv 39 \pmod{65}$$

4
求特解

用扩展欧几里得算法找到特解:$x_0 = 52$

5
找全部解

使用公式:$x = x_0 + k \cdot \frac{m}{d}$,其中 $k = 0, 1, 2, ..., d-1$

解集:{52, 117, 182, 247, 312}

常见变体与技巧

变体一:已知解求方程

如果 $b$ 未知但给出解 $x = 100$:

直接计算 $b \equiv ax \pmod{m}$

技巧:利用已知解避免复杂的扩展欧几里得算法

变体二:讨论解的数量

解的数量 $n$ 只有两种可能:

  • $n = 0$ (无解)
  • $n = d = \gcd(a,m)$ (有解)

对于 $a = 18$:

$n$ 的可能值 = {0, 1, 2, 3, 6, 9, 18}

关键记忆点

  • 所有解之间的固定距离是 $\frac{m}{d}$
  • $d$ 必然是 $a$ 的因数
  • 扩展欧几里得算法:从 gcd 的计算步骤反向代入

第六题:偏序集 (Poset) 问题

理解偏序关系的性质,掌握最小元、最大元、最小元素的概念和计算方法

构建集合 S

题目条件

$$S = \{n \in \mathbb{N} : 11 \leq n \leq 130 \text{ and } n = 3^i \cdot 7^j\}$$

系统化构建过程
j值形式符合条件的数
j = 0$n = 3^i$27, 81
j = 1$n = 3^i \cdot 7$21, 63
j = 2$n = 3^i \cdot 49$49

最终集合:$S = \{21, 27, 49, 63, 81\}$

核心概念

偏序关系

关系是 $|$ (整除)

$a | b$ 表示 a 整除 b

最小元

不被任何其他元素整除的元素

{21, 27, 49}

最大元

不能整除任何其他元素的元素

{49, 63, 81}

graph TB 21[21=3×7] --> 63[63=9×7] 27[27=3³] --> 81[81=3⁴] 49[49=7²] style 21 fill:#e1f5fe style 27 fill:#e1f5fe style 49 fill:#e1f5fe style 63 fill:#fff3e0 style 81 fill:#fff3e0

蓝色:最小元 | 橙色:最大元

延伸概念分析

(c) 最小元素 (Least Element)

与"最小元"的区别:

  • 必须是唯一的
  • 必须能整除所有其他元素

在所有 $3^i \cdot 7^j$ 形式的数中,只有 $1 = 3^0 \cdot 7^0$ 是最小元素。

结论:$n_0$ 最大值为 1

(d) 最小元数量控制

目标:找最大的 $n_0$,使 $T$ 最多有两个最小元

方法:排序 $3^i \cdot 7^j$ 的数:1, 3, 7, 9, 21, ...

$n_0$$T$ 的最小元数量
7{7, 9}2 ✓
8{9, 21, 49}3 ✗

结论:$n_0$ 最大值为 7

解题技巧总结

  • 系统化构建:按指数逐一枚举,避免遗漏
  • 整除关系图:画出关系图帮助理解结构
  • 临界点分析:观察数量变化的临界点
  • 定义辨析:区分最小元、最大元、最小元素的不同含义

第七题:排列组合 (Wordle) 问题

掌握补集法、两步法、容斥原理等高级计数技巧,解决复杂约束条件下的排列问题

通用解题策略

1. 补集法 (Complement Method)

符合条件的 = 总数 - 不符合条件的

适用场景:当"不符合"比"符合"更简单直接时

适用于本题的 (a) 和 (b) 部分

2. 两步法 (Two-Step Method)

1. 选字母 (Choose) × 2. 排字母 (Arrange)

适用场景:复杂的排列问题分解为选择和排列

适用于本题的 (c) 和 (d) 部分

核心计算方法

次方 (Powers)

$n^m$

元素可重复时使用

如 (a) 部分

排列 (Permutation)

$P(n,k)$

不可重复且顺序重要

如 (b) 部分

组合 (Combination)

$C(n,k)$

不可重复且顺序不重要

用于"选字母"步骤

详细解题步骤

(a) 和 (b) 小题 - 补集法应用

(a) 可重复情况
  • 总数: $22^5$ (22个字母可重复)
  • 不符合: "完全没有U" 或 "U在第一位"
  • 计算: $21^5 + 22^4$
  • 答案: $22^5 - (21^5 + 22^4)$
(b) 不可重复情况
  • 总数: $P(22,5)$
  • 不符合: "完全没有U" 或 "U在第一位"
  • 计算: $P(21,5) + P(21,4)$
  • 答案: $P(22,5) - (P(21,5) + P(21,4))$

(c) 和 (d) 小题 - 两步法与容斥原理

第一步:选字母 (Choose Letters)
  • 分析约束条件,确定可选字母池 (pool)
  • 确定还需选择的字母数 (select)
  • 用组合 $C(\text{pool}, \text{select})$ 计算

例:(d) 中从17个字母中再选2个:$C(17,2) = 136$

第二步:排字母 (Arrange Letters)

容斥原理公式:

符合条件的排列 = 总排列 - (违反1个) + (违反2个) - (违反3个) + ...

(c) 中的计算:

$5! - [C(4,1) \cdot 4! - C(4,2) \cdot 3! + C(4,3) \cdot 2! - C(4,4) \cdot 1!] = 53$

最终答案

将"选字母"和"排字母"的结果相乘

(d) 答案: $C(17,2) \times 50 = 136 \times 50 = 6800$

关键技巧提醒

  • 容斥原理:处理多个约束条件的排列问题的核心工具
  • 两步分解:复杂排列问题分为选择和排列两个独立步骤
  • 补集思维:当直接计算复杂时,考虑从反面入手
  • 系统化方法:按固定流程执行,避免遗漏和错误

第八题:图论 - 桥接图与度序列

理解桥接图的构造,掌握度序列分析、图的性质验证和欧拉公式应用

核心概念

度序列

图中所有顶点的度的列表,通常按降序排列

度 = 连接到该顶点的边数

桥接图

两个独立图 $G_1$ 和 $G_2$ 通过一条边连接形成的图 $H$

桥会使连接的两个顶点度数各+1

悬挂顶点

度为1的顶点

在图的结构分析中很重要

(a) 求桥接图的度序列

题目条件

  • $G_1$ 度序列:{3, 2, 2, 2, 1}
  • $G_2$ 度序列:{3, 3, 3, 2, 1}
  • 要求:$H$ 没有悬挂顶点(度为1的顶点)

解题步骤

1
分析限制条件

$G_1$ 和 $G_2$ 各有一个度为1的顶点,为消除它们,桥必须连接这两个顶点。

2
计算新度数
  • $G_1$ 中度为1的顶点:$1 + 1 = 2$,得到 {3, 2, 2, 2, 2}
  • $G_2$ 中度为1的顶点:$1 + 1 = 2$,得到 {3, 3, 3, 2, 2}
3
合并与排序

$H$ 的度序列:{3, 3, 3, 3, 2, 2, 2, 2, 2, 2}

(b) 不可能的度序列分析

为什么 {8, 8, 7, 7, 6, 6, 5, 4, 3} 不可能?

逻辑论证 (反证法)
  1. 分析度序列:9个顶点,最大度为8
  2. 度为8的含义:必须与所有其他8个顶点相连
  3. 桥接图的定义:可通过移除一条边断开为两部分
  4. 矛盾:高度连接的图不可能被一条边分开

结论:这种度序列与桥接图的结构相矛盾

(c) 图的性质分析

1. 欧拉迹

答案:有时为真,有时为假

原因:欧拉迹需要0个或2个奇数度顶点

桥改变连接顶点的奇偶性,可能导致4个奇数度顶点

2. 二部图

答案:总是为真

原因:可通过合并相应集合构建$H$的两个集合

即使桥连接同侧顶点,也可通过对调修正

3. 树

答案:总是为真

原因:连接两个独立树的边不会形成环

结果仍然是连通且无环的图

4. 哈密顿环

答案:总是为假

原因:只有一条桥连接两部分

无法形成包含所有顶点的闭合环路

(d) 平面图与欧拉公式

问题:桥接是否违反欧拉公式?

答案:不会违反,$H$ 仍满足 $V - E + F = 2$

验证过程

顶点数 V

$V_H = V_1 + V_2$

边数 E

$E_H = E_1 + E_2 + 1$

面数 F

$F_H = F_1 + F_2 - 1$

欧拉公式验证

$V_H - E_H + F_H$

$= (V_1 + V_2) - (E_1 + E_2 + 1) + (F_1 + F_2 - 1)$

$= (V_1 - E_1 + F_1) + (V_2 - E_2 + F_2) - 2$

$= 2 + 2 - 2 = 2$ ✓

关键理解点

  • 度序列限制:桥接图的结构限制了可能的度序列
  • 性质传递:有些性质总是保持,有些可能改变
  • 欧拉公式普适性:桥接操作不破坏平面图的欧拉公式
  • 反证法应用:通过结构矛盾证明不可能性

学习建议

理论掌握

  • 深入理解每个概念的定义
  • 掌握各种解题方法的适用场景
  • 熟练运用反例法和形式化证明

实践应用

  • 多做练习题巩固知识点
  • 尝试不同的解题策略
  • 总结常见题型的解题模式

Q1: Set Cardinality & Operations

Master cardinality calculation, union/intersection properties, and basic function counting methods

Core Concepts

Set Cardinality

∈ (belongs to) and ⊆ (subset) are fundamental relations in set theory.

For consecutive integer sets, use formula: (last - first) + 1

Set Operation Formulas

Operation Type Symbol Meaning Interval Handling
Union $\bigcup S_n$ Exists in some sets Smallest lower bound to largest upper bound
Intersection $\bigcap S_n$ Exists in all sets Largest lower bound to smallest upper bound
Set of subsets $\{X \mid X \subseteq A\}$ All subsets of A Power set $\mathcal{P}(A)$

Function Counting

From set of size m to set of size n

All functions

$n^m$

Each argument has n choices

Injective functions

$P(n,m)$

Condition: $m \leq n$

Surjective functions

Existence condition

Condition: $m \geq n$

Example Calculation

Problem setup: A is a set of 16 sets, each set $S_n$ is a consecutive integer interval

  • Cardinality of A: $|A| = 16$ (set of sets)
  • Union B: $|B| = 1647$ (merging all intervals)
  • Subset set C: $|C| = 16$ (equals A itself)
  • Intersection D: $|D| = 327$ (overlap of all intervals)
  • Empty set E: $|E| = 0$ (empty set has no elements)

Q2: Logical Equivalence & Proposition Conversion

Master converting English logical phrases to symbolic expressions and core logical equivalence rules

Three-Step Problem Solving Method

1

Simplify the problem

Replace complex terms with simple letters P and Q

P = "X is skew-differentiable"
Q = "X is quantised"

2

Master core rules

$A \to B \equiv \neg A \lor B$

This is the key bridge connecting "if-then" and "or"

3

Group and analyze

Group similar logical expressions together

Find common patterns among equivalent propositions

Symbol Meaning Quick Reference

SymbolMeaningEnglish ExpressionExample
$\to$Implicationif... then...if P, then Q
$\land$ConjunctionandP and Q
$\lor$DisjunctionorP or Q
$\neg$Negationnotnot P

Equivalence Grouping Results

Group 1: $P \to Q$

Proposition numbers: {1, 6, 8}

  • (1) if P, then Q
  • (6) P only if Q
  • (8) Q if P

Group 2: $Q \to P$

Proposition numbers: {3, 5}

  • (3) if Q, then P
  • (5) P or not Q ($P \lor \neg Q$)

Equivalent because: $Q \to P \equiv \neg Q \lor P$

Group 3: $P \lor Q$

Proposition numbers: {4, 7}

  • (4) if not Q, then P
  • (7) P or Q

Equivalent because: $\neg Q \to P \equiv Q \lor P$

Group 4: $P \land \neg Q$

Proposition numbers: {2}

  • (2) P and not Q

Independent group: negation of Group 1

Q3: Set Operations & Symmetric Difference

Understand intersection, union, symmetric difference properties, master set inclusion proof methods

Problem Setup

Basic and Derived Sets

Basic Sets

A, B, C

Derived Sets
  • $X = A \cap B$ (intersection: A and B)
  • $Y = A \cup C$ (union: A or C)
  • $Z = A \oplus B$ (symmetric difference: only in A or only in B)

Key Definition of Symmetric Difference

$$A \oplus B = (A \cup B) \setminus (A \cap B)$$

Symmetric difference contains elements that belong to A or B, but not both.

graph LR A[Set A] --> AB[A∩B
Common part] B[Set B] --> AB A --> AnotB[A\B
Only in A] B --> BnotA[B\A
Only in B] AnotB --> Z[Z = A⊕B
Symmetric diff] BnotA --> Z style Z fill:#ff9999 style AB fill:#99ccff

Problem-Solving Strategy Comparison

Strategy 1: Verification by Example

Pros: Fast, intuitive, suitable for exams

Cons: May lead to wrong conclusions, example success doesn't mean always true

Example:

Let A={1,2,3}, B={2,3,4}, C={1,5}

  • X = A∩B = {2,3}
  • Y = A∪C = {1,2,3,5}
  • Z = A⊕B = {1,4}

Strategy 2: Formal Proof / Counterexample Method

Pros: 100% reliable conclusion, understand the essence

Cons: Requires more time and logical reasoning

Counterexample Construction:

For proposition (1) $Y \subseteq X \cup Z$:

Let A={1}, B={2}, C={3}

  • Y = {1,3}, X∪Z = {1,2}
  • Since 3∈Y but 3∉X∪Z, the proposition is false

Always True Propositions

Proposition Analysis Results: {3, 5, 8}

(8) $X \subseteq Y$ is true

Reason: $X = A \cap B \subseteq A \subseteq A \cup C = Y$

(3) $X \cap Z \subseteq Y$ is true

Reason: X is the common part, Z is the non-common part, their intersection is empty set, and empty set is a subset of any set

(5) $X \subseteq Y \cup Z$ is true

Reason: Based on proposition (8), X⊆Y is naturally contained in the larger set Y∪Z

Q4: Floor Function Proof

Learn to disprove false propositions using counterexamples, understand floor function properties

Problem and Key Definitions

Proposition to Prove

"x is an integer" ⟺ "⌊0.628x⌋ + ⌊0.372x⌋ = x"

Floor function:⌊y⌋ represents the greatest integer not greater than y

For example: ⌊7.9⌋ = 7, ⌊-4.1⌋ = -5

Important Lesson: Don't Blindly Trust the Problem

Even "proof problems" may have false propositions. Before starting a complex proof, verify with simple numbers.

Standard Counterexample Proof Steps

1

State the proposition to disprove

We will disprove by counterexample: "If x is an integer, then ⌊0.628x⌋ + ⌊0.372x⌋ = x"

2

Provide a counterexample

Let x = 1. Clearly x = 1 satisfies the premise "is an integer".

3

Calculate left-hand side (LHS)

LHS = ⌊0.628×1⌋ + ⌊0.372×1⌋

= ⌊0.628⌋ + ⌊0.372⌋

= 0 + 0 = 0

4

Calculate right-hand side (RHS)

RHS = x = 1

5

Derive contradiction

LHS = 0 ≠ 1 = RHS

Therefore when x = 1, the equation does not hold.

6

Draw conclusion

Since we found a counterexample, one direction of the "if and only if" proposition fails, making the original proposition false.

Key Takeaways

  • Power of verification: Testing with simple numbers is the most effective way to find problems
  • Power of counterexample: One counterexample is enough to disprove an "always true" proposition
  • Critical thinking: Don't blindly trust the correctness of problems

Q5: Linear Congruence Equations

Master solution methods for linear congruence equations, including existence judgment and solving techniques

Core Theorem: Existence and Number of Solutions

Master Key Formula

For equation $$ax \equiv b \pmod{m}$$

No solution condition

If $d = \gcd(a,m)$ does not divide $b$

Then number of solutions $n = 0$

Has solution condition

If $d = \gcd(a,m)$ divides $b$

Then exactly $d$ distinct solutions exist

Standard Solution Process

Example: $$60x \equiv 195 \pmod{325}$$

1
Calculate GCD

Use Euclidean algorithm to compute $d = \gcd(60, 325) = 5$

2
Check solution existence

Check if $d$ divides $b$: $5 \mid 195$ ✓

Therefore equation has $5$ solutions

3
Simplify equation

Divide both sides and modulus by $d = 5$:

$$12x \equiv 39 \pmod{65}$$

4
Find particular solution

Use extended Euclidean algorithm to find: $x_0 = 52$

5
Find all solutions

Use formula: $x = x_0 + k \cdot \frac{m}{d}$, where $k = 0, 1, 2, ..., d-1$

Solution set: {52, 117, 182, 247, 312}

Common Variants and Techniques

Variant 1: Find equation given solution

If $b$ is unknown but solution $x = 100$ is given:

Calculate directly $b \equiv ax \pmod{m}$

Tip: Use known solution to avoid complex extended Euclidean algorithm

Variant 2: Discuss number of solutions

Number of solutions $n$ has only two possibilities:

  • $n = 0$ (no solution)
  • $n = d = \gcd(a,m)$ (has solution)

For $a = 18$:

Possible values of $n$ = {0, 1, 2, 3, 6, 9, 18}

Key Memory Points

  • Fixed distance between all solutions is $\frac{m}{d}$
  • $d$ must be a divisor of $a$
  • Extended Euclidean algorithm: substitute backwards from gcd calculation steps

Q6: Poset (Partially Ordered Set) Problems

Understand partial order relation properties, master minimal/maximal/least element concepts and calculation methods

Constructing Set S

Problem Condition

$$S = \{n \in \mathbb{N} : 11 \leq n \leq 130 \text{ and } n = 3^i \cdot 7^j\}$$

Systematic Construction Process
j valueFormMatching numbers
j = 0$n = 3^i$27, 81
j = 1$n = 3^i \cdot 7$21, 63
j = 2$n = 3^i \cdot 49$49

Final set: $S = \{21, 27, 49, 63, 81\}$

Core Concepts

Partial Order Relation

Relation is $|$ (divides)

$a | b$ means a divides b

Minimal Elements

Elements not divisible by any other element

{21, 27, 49}

Maximal Elements

Elements that cannot divide any other element

{49, 63, 81}

graph TB 21[21=3×7] --> 63[63=9×7] 27[27=3³] --> 81[81=3⁴] 49[49=7²] style 21 fill:#e1f5fe style 27 fill:#e1f5fe style 49 fill:#e1f5fe style 63 fill:#fff3e0 style 81 fill:#fff3e0

Blue: Minimal elements | Orange: Maximal elements

Extended Concept Analysis

(c) Least Element

Difference from "Minimal Element":

  • Must be unique
  • Must divide all other elements

Among all numbers of form $3^i \cdot 7^j$, only $1 = 3^0 \cdot 7^0$ is the least element.

Conclusion: Maximum value of $n_0$ is 1

(d) Minimal Element Count Control

Goal: Find largest $n_0$ such that $T$ has at most two minimal elements

Method: Sort numbers of form $3^i \cdot 7^j$: 1, 3, 7, 9, 21, ...

$n_0$Minimal elements of $T$Count
7{7, 9}2 ✓
8{9, 21, 49}3 ✗

Conclusion: Maximum value of $n_0$ is 7

Problem-Solving Tips Summary

  • Systematic construction: Enumerate by exponent to avoid missing
  • Divisibility graph: Draw relation diagram to understand structure
  • Critical point analysis: Observe where quantity changes
  • Definition distinction: Distinguish between minimal, maximal, and least elements

Q7: Combinatorics (Wordle) Problems

Master advanced counting techniques including complement method, two-step method, inclusion-exclusion principle for complex constrained permutation problems

General Problem-Solving Strategies

1. Complement Method

Valid = Total - Invalid

When to use: When "invalid" is simpler to describe than "valid"

Applies to parts (a) and (b) of this problem

2. Two-Step Method

1. Choose letters × 2. Arrange letters

When to use: Complex permutation problems broken into selection and arrangement

Applies to parts (c) and (d) of this problem

Core Calculation Methods

Powers

$n^m$

When repetition is allowed

e.g., part (a)

Permutation

$P(n,k)$

No repetition, order matters

e.g., part (b)

Combination

$C(n,k)$

No repetition, order doesn't matter

Used in "choose letters" step

Detailed Solution Steps

(a) and (b) - Complement Method Application

(a) With repetition
  • Total: $22^5$ (22 letters, can repeat)
  • Invalid: "No U at all" or "U in first position"
  • Calculation: $21^5 + 22^4$
  • Answer: $22^5 - (21^5 + 22^4)$
(b) Without repetition
  • Total: $P(22,5)$
  • Invalid: "No U at all" or "U in first position"
  • Calculation: $P(21,5) + P(21,4)$
  • Answer: $P(22,5) - (P(21,5) + P(21,4))$

(c) and (d) - Two-Step Method and Inclusion-Exclusion

Step 1: Choose Letters
  • Analyze constraints, determine available letter pool
  • Determine how many more letters to select
  • Calculate using combination $C(\text{pool}, \text{select})$

Example: in (d) Choose 2 more letters from 17: $C(17,2) = 136$

Step 2: Arrange Letters

Inclusion-Exclusion Formula:

Valid arrangements = Total - (violate 1) + (violate 2) - (violate 3) + ...

Calculation in (c):

$5! - [C(4,1) \cdot 4! - C(4,2) \cdot 3! + C(4,3) \cdot 2! - C(4,4) \cdot 1!] = 53$

Final Answer

Multiply "choose letters" and "arrange letters" results

(d) Answer: $C(17,2) \times 50 = 136 \times 50 = 6800$

Key Technique Reminders

  • Inclusion-Exclusion: Core tool for handling multiple constraint permutation problems
  • Two-step decomposition: Complex permutation problems into independent selection and arrangement steps
  • Complement thinking: When direct calculation is complex, consider from the opposite angle
  • Systematic method: Follow fixed process to avoid omissions and errors

Q8: Graph Theory - Bridge Graphs & Degree Sequences

Understand bridge graph construction, master degree sequence analysis, graph property verification, and Euler's formula application

Core Concepts

Degree Sequence

List of all vertex degrees in a graph, usually sorted in descending order

Degree = number of edges connected to a vertex

Bridge Graph

Graph $H$ formed by connecting two independent graphs $G_1$ and $G_2$ with a single edge

Bridge adds 1 to degree of both connected vertices

Pendant Vertex

Vertex with degree 1

Important in graph structure analysis

(a) Find Degree Sequence of Bridge Graph

Problem Conditions

  • $G_1$ degree sequence: {3, 2, 2, 2, 1}
  • $G_2$ degree sequence: {3, 3, 3, 2, 1}
  • Requirement: $H$ has no pendant vertices (degree-1 vertices)

Solution Steps

1
Analyze constraints

$G_1$ and $G_2$ each have one degree-1 vertex. To eliminate them, bridge must connect these two vertices.

2
Calculate new degrees
  • Degree-1 vertex in $G_1$: $1 + 1 = 2$, giving {3, 2, 2, 2, 2}
  • Degree-1 vertex in $G_2$: $1 + 1 = 2$, giving {3, 3, 3, 2, 2}
3
Merge and sort

$H$ degree sequence: {3, 3, 3, 3, 2, 2, 2, 2, 2, 2}

(b) Impossible Degree Sequence Analysis

Why is {8, 8, 7, 7, 6, 6, 5, 4, 3} impossible?

Logical Argument (Proof by Contradiction)
  1. Analyze degree sequence: 9 vertices, max degree 8
  2. Degree 8 means: Must connect to all other 8 vertices
  3. Bridge graph definition: Can be disconnected into two parts by removing one edge
  4. Contradiction: Highly connected graph cannot be separated by one edge

Conclusion: This degree sequence contradicts bridge graph structure

(c) Graph Property Analysis

1. Euler Trail

Answer: Sometimes true, sometimes false

Reason: Euler trail requires 0 or 2 odd-degree vertices

Bridge changes parity of connected vertices, may result in 4 odd-degree vertices

2. Bipartite Graph

Answer: Always true

Reason: Can construct two sets of $H$ by merging corresponding sets

Even if bridge connects same-side vertices, can be fixed by swapping

3. Tree

Answer: Always true

Reason: Edge connecting two independent trees won't form a cycle

Result is still a connected, acyclic graph

4. Hamiltonian Cycle

Answer: Always false

Reason: Only one bridge connects the two parts

Cannot form a closed loop containing all vertices

(d) Planar Graph and Euler's Formula

Question: Does bridging violate Euler's formula?

Answer: No, $H$ still satisfies $V - E + F = 2$

Verification Process

Vertices V

$V_H = V_1 + V_2$

Edges E

$E_H = E_1 + E_2 + 1$

Faces F

$F_H = F_1 + F_2 - 1$

Euler's Formula Verification

$V_H - E_H + F_H$

$= (V_1 + V_2) - (E_1 + E_2 + 1) + (F_1 + F_2 - 1)$

$= (V_1 - E_1 + F_1) + (V_2 - E_2 + F_2) - 2$

$= 2 + 2 - 2 = 2$ ✓

Key Understanding Points

  • Degree sequence constraints: Bridge graph structure limits possible degree sequences
  • Property preservation: Some properties always hold, some may change
  • Euler's formula universality: Bridging operation doesn't break planar graph Euler's formula
  • Proof by contradiction: Prove impossibility through structural contradiction

Study Recommendations

Theory Mastery

  • Deeply understand the definition of each concept
  • Master applicable scenarios for various problem-solving methods
  • Proficiently use counterexample and formal proof methods

Practical Application

  • Do more practice problems to reinforce knowledge
  • Try different problem-solving strategies
  • Summarize problem patterns for common problem types