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An introduction to discrete mathematics, focusing on counting theory and combinatorics. Topics covered include the addition rule for finite sets, the partition method, and the correspondence principle. The document also discusses the concept of subsets and their number, as well as functions and their properties.
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Addition Rule (2 possibly overlapping sets)
Let A and B be two finite sets
|A∪B| =
|A| + |B| - |A∩B|
Addition of multiple disjoint sets:
i=
n
i
n
=
1
S = all possible outcomes of one white die and one black die.
Partition Method
S = all possible outcomes of one white die and one black die.
Partition S into 6 sets:
Partition Method
Each of 6 disjoint sets have size 6 = 36 outcomesDocsity.com
S A (^) i A (^) i 5 30 i=1 i=
∑ ∑ i 1
6 6 6
S ≡ Set of all outcomes where the dice show different values. S =?
| S ∪ T | = # of outcomes = 36 |S| + |T| = 36 |T| = 6 |S| = 36 – 6 = 30
S ≡ Set of all outcomes where the dice show different values. S =?
T ≡ set of outcomes where dice agree. = { <1,1>, <2,2>, <3,3>,<4,4>,<5,5>,<6,6>}
S ≡ Set of all outcomes where the black die shows a smaller number than the white die. S =?
Ai ≡ set of outcomes where the black die says i and the white die says something larger.
It is clear by symmetry that | S | = | L |.
Therefore | S | = 15
S ≡ Set of all outcomes where the black die shows a smaller number than the white die. S =?
L ≡ set of all outcomes where the black die shows a larger number than the white die.
S L
Pinning Down the Idea of Symmetry by Exhibiting a Correspondence
Put each outcome in S in correspondence with an outcome in L by swapping color of the dice.
Thus: S = L
Each outcome in S gets matched with exactly one outcome in L, with none left over.
For Every
There Exists
f is onto if and only if
∀z∈B ∃x∈A f(x) = z
Let f : A → B Be a Function From a Set A to a Set B
∃ onto f : A → B ⇒ | A | ≥ | B |
∃ 1-1 onto f : A → B ⇒ | A | = | B |