Solutions — Examples and Applications (Part 1)
Worked answers to every example in the list. Specific sets/numbers can vary in the real exam, but the method stays the same. Where a question says “give an example”, any correct example works — one valid choice is shown.
Logic
Predicates : ” is a mouse”, : ” likes cheese”.
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“Every mouse likes cheese.”
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“Some mice like cheese.”
Watch the connective: “every … ” uses , “some …” uses . Writing would be wrong (it’s true even if no mice exist).
Sets
Subset of . Any of these works, e.g.
Operations on and .
| Operation | Result |
|---|---|
| Union | |
| Intersection | |
| Difference | |
| Difference | |
| Symmetric difference | |
| Cartesian product |
Complement. , :
Power set of (all subsets):
Number of subsets of . A set with elements has subsets:
Relations
Partition of . A partition splits into non‑empty, pairwise disjoint blocks whose union is . One example:
Binary relation from to . Any subset of , e.g.
Domain, range, inverse of .
- Domain (first coordinates):
- Range (second coordinates):
- Inverse (reverse every pair):
Restriction / image / inverse image. , .
- Restriction = pairs of whose first coordinate is in :
- Image = second coordinates of pairs whose first coordinate is in :
- Inverse image = first coordinates of pairs whose second coordinate is in : pairs with second coord in are , so
Extension / restriction of .
- An extension (add at least one pair), e.g.
- A restriction (drop at least one pair), e.g.
Relations on with a given property. (One example each.)
- Reflexive (contains every ):
- Irreflexive (contains no ):
- Symmetric (if then ):
- Antisymmetric (if and then ):
- Strictly antisymmetric (if then never — so it must be irreflexive too):
- Transitive (if and then ):
The empty relation satisfies irreflexive, symmetric, antisymmetric, strictly antisymmetric and transitive simultaneously — handy if you ever get stuck, though it’s good to show a non‑trivial example.
Equivalence relation on a set (reflexive, symmetric, transitive). Example: (Finite alternative: , .)
Partial order on a set (reflexive, antisymmetric, transitive). Example: (Or: for any set , with .)
Function from to (each element of assigned exactly one value). Example:
Injective / surjective / bijective, , .
- Injective (distinct inputs → distinct outputs):
- Surjective (every element of is hit). Since , the same map works:
- Bijective (both injective and surjective):
Because , the simplest injection is already a bijection. If no surjection exists; if no injection exists.
Composition , where , .
Convention: — apply first, then .
- and
- , but no pair nothing
- and
Complex numbers
, .
.
, .
Multiply moduli, add arguments; divide moduli, subtract arguments:
.
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Power (De Moivre):
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Cube roots: , :
| argument | root | |
|---|---|---|
Combinatorics
First four rows of Pascal’s triangle (rows –):
1
1 1
1 2 1
1 3 3 1
Counts for , (factorials may be left un‑evaluated):
| Type | Formula | Value |
|---|---|---|
| Permutations without repetition | ||
| ‑variations without repetition | ||
| ‑variations with repetition | ||
| ‑combinations without repetition | ||
| ‑combinations with repetition |
Permutations with repetition, repetition numbers (total ):
Binomial expansion of (coefficients are row 5: ):
Inclusion–exclusion principle for four sets:
Graphs
Edge count from degrees. A ‑vertex graph with degrees .
By the handshake lemma, the sum of all vertex degrees equals twice the number of edges:
Note: a simple graph on vertices can have max degree , so degree means has multiple edges and/or loops (a multigraph). The handshake lemma still applies regardless.
End of answer key.