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Disclaimer

The key points summarized here are derived from Yeh (2012)1 and Hogg, Tanis, & Zimmerman (2013)2. These notes are not entirely original but are recorded and organized for personal study and better understanding. If you find them useful, please cite the original works, and always refer to the original texts for the most accurate information.

Set Theory​

Sample space​

All possible outcomes of a particular experiment, denoted by Ξ©\Omega.

Every outcome in Ω\Omega is called an element , denoted by ww. The element in Ω\Omega is denoted by w∈Ωw \in \Omega.

note

Element in Sample space: w∈Ωw \in \Omega.

Set belongs to Set: SAβŠ†SBS_{A} \subseteq S_{B}

Set operations​

Let AA and BB be sets, and let An{A_{n}} be a sequence of subsets of Ξ©\Omega.

1. Subset​

AA is a subset of BB, denoted as AβŠ†BA \subseteq B, and every element in AA is also an element in BB.

2. Set Equality​

AA is equal to BB, denoted as A=BA = B. That is, AβŠ†BA \subseteq B and BβŠ†AB \subseteq A, both conditions hold simultaneously.

3. Null Set​

The null set, denoted as βˆ…\varnothing, is a set that contains no elements.

4. Complement Set​

The complement of set AA, denoted as AcA^{c}, is the set of all elements in Ξ©\Omega that are not in AA.

Ac={w∣w∈Ω∧w∉A}A^{c} = \{ w \mid w \in \Omega \land w \not \in A \}

5. Union​

The union of sets AA and BB, denoted as AβˆͺBA \cup B, is the set of all elements in AA and BB.

AβˆͺB={w∣w∈A∨w∈B}A \cup B = \{ w \mid w \in A \lor w \in B \}

6. Intersection​

The intersection of sets AA and BB, denoted as A∩BA \cap B, is the set of all elements in AA and BB.

A∩B={w∣w∈A∧w∈B}A \cap B = \{ w \mid w \in A \land w \in B \}

7. Set Difference​

A\BA \backslash B: The set of all elements that are in AA but not in BB:

A\B=A∩Bc={w∣w∈A∧w∉B}A \backslash B = A \cap B^{c} =\{ w \mid w \in A \land w \not \in B \}

B\AB \backslash A: The set of all elements that are in BB but not in AA:

B\A=B∩Ac={w∣w∈B∧w∉A}B \backslash A = B \cap A^{c} = \{ w \mid w \in B \land w \not \in A \}

8. Disjoint or Mutually Exclusive​

If AA and BB have no common elements, they are called disjoint sets, denoted as A∩B=βˆ…A \cap B = \varnothing.

9. Upper Limit​

lim sup⁑nβ‹‚k=1βˆžβ‹ƒn=k∞An={w∣w∈AnΒ forΒ infinitelyΒ manyΒ valuesΒ ofΒ nΒ }{\limsup}_{n} \bigcap_{k=1}^{\infty} \bigcup_{n=k}^{\infty} A_{n} = \{w \mid w \in A_{n} \text{ for infinitely many values of n }\}

10. Lower Limit​

lim inf⁑n⋃k=1βˆžβ‹‚n=k∞An={w∣w∈AnΒ forΒ allΒ butΒ finitelyΒ manyΒ valuesΒ ofΒ nΒ }{\liminf}_{n} \bigcup_{k=1}^{\infty} \bigcap_{n=k}^{\infty} A_{n} = \{w \mid w \in A_{n} \text{ for all but finitely many values of n }\}

11. Set Convergence​

The sequence {An}\{A_{n} \} converges to AA if lim sup⁑nAn=lim inf⁑nAn=A{\limsup}_{n}A_{n} = {\liminf}_{n}A_{n} = A, which is denoted by lim⁑nβ†’βˆžAn=A\lim_{n \to \infty} A_{n} = A.

Generalization to Multiple Sets​

The operations of union and intersection can be extended to any finite or infinite number of sets.

Extend operation to finite sets

Let A1,A2,…,AnA_{1}, A_{2}, \ldots, A_{n} be subsets of SS, such that each AiβŠ†SA_{i} \subseteq S for i=1,2,…,ni=1, 2, \ldots, n.

Their union is denoted as:

A1βˆͺA2βˆͺβ‹―βˆͺAn=⋃i=1nAi={x∣x∈A1∨x∈A2βˆ¨β€¦βˆ¨x∈Ai ,βˆ€i∈{1,2,…,n}}A_{1} \cup A_{2} \cup \cdots \cup A_{n} = \bigcup_{i=1}^{n} A_{i} = \{ x \mid x \in A_{1} \lor x \in A_{2} \lor \ldots \lor x \in A_{i} \,, \forall i \in \{1, 2, \ldots, n\}\}

, and their intersection is denoted as:

A1∩A2βˆ©β‹―βˆ©An=β‹‚i=1nAi={x∣x∈A1∧x∈A2βˆ§β€¦βˆ§x∈Ai ,βˆ€i∈{1,2,…,n}}A_{1} \cap A_{2} \cap \cdots \cap A_{n} = \bigcap_{i=1}^{n} A_{i} = \{ x \mid x \in A_{1} \land x \in A_{2} \land \ldots \land x \in A_{i} \,, \forall i \in \{1, 2, \ldots, n\}\}

Extend operation to infinite sets

Let A1,A2,…,AnA_{1}, A_{2}, \ldots, A_{n} be subsets of SS, such that each AiβŠ†SA_{i} \subseteq S for i=1,2,…,n,…i=1, 2, \ldots, n, \ldots.

Their union is denoted as:

A1βˆͺA2βˆͺβ‹―βˆͺAnβˆͺβ‹―=⋃i=1∞Ai={x∣x∈A1∨x∈A2βˆ¨β€¦βˆ¨x∈Ai ,βˆ€i∈{1,2,…,n,…}}A_{1} \cup A_{2} \cup \cdots \cup A_{n} \cup \cdots= \bigcup_{i=1}^{\infty} A_{i} = \{ x \mid x \in A_{1} \lor x \in A_{2} \lor \ldots \lor x \in A_{i} \,, \forall i \in \{1, 2, \ldots, n, \ldots\}\}

, and their intersection is denoted as:

A1∩A2βˆ©β‹―βˆ©Anβˆ©β‹―=β‹‚i=1∞Ai={x∣x∈A1∧x∈A2βˆ§β€¦βˆ§x∈Ai ,βˆ€i∈{1,2,…,n,…}}A_{1} \cap A_{2} \cap \cdots \cap A_{n} \cap \cdots = \bigcap_{i=1}^{\infty} A_{i} = \{ x \mid x \in A_{1} \land x \in A_{2} \land \ldots \land x \in A_{i} \,, \forall i \in \{1, 2, \ldots, n, \ldots\}\}

Properties​

  1. Commutativity: AβˆͺB=BβˆͺAA \cup B = B \cup A ; A∩B=B∩AA \cap B = B \cap A

  2. Associativity: (AβˆͺB)βˆͺC=Aβˆͺ(BβˆͺC)(A \cup B) \cup C = A \cup (B \cup C) ; (A∩B)∩C=A∩(B∩C)(A \cap B) \cap C = A \cap (B \cap C)

  3. Distributive Law: Aβˆͺ(B∩C)=(AβˆͺB)∩(AβˆͺC)A \cup (B \cap C) = (A \cup B) \cap (A \cup C) ; A∩(BβˆͺC)=(A∩B)βˆͺ(A∩C)A \cap (B \cup C) = (A \cap B) \cup (A \cap C)

  4. DeMorgen's Law: (AβˆͺB)c=Ac∩Bc{(A \cup B)}^{c} = A^{c} \cap B^{c} ; (A∩B)c=AcβˆͺBc{(A \cap B)}^{c} = A^{c} \cup B^{c}

Corrections Are Always Welcome

If you find any mistakes or have suggestions for improvement, please feel free to submit a pull request. Your corrections and contributions will be incorporated into these notes. Thank you for your time!

References​

1. Yeh, H.-C. (2012). Advanced statistics (8th ed.). College of Law National Taiwan University Library and Stationery Department.

2. Hogg, R. V., Tanis, E. A., & Zimmerman, D. (2013). Probability and statistical inference (9th ed.). Upper Saddle River, NJ: Pearson.