For pairwise disjoint finite sets, the rule of sum gives
The password sets of different lengths are disjoint, so the required number is .
The rule of subtraction is
In particular, if are finite sets, the set difference has cardinality .
The rule of product says that a sequence of choices, with possibilities at stage regardless of earlier choices, has possible outcomes. Applied to the Cartesian product of finite sets, it gives . Here independence means that the available choices do not restrict one another; no probability assumption is needed.
The rule of product counts unrestricted passwords and passwords containing no A. By the rule of subtraction, the answer is
The power set is , the set of all subsets of . In this case,
Each of the elements is either included or excluded, so the rule of product gives . Alternatively, partition the power set into disjoint families according to cardinality. The family of -element subsets has size equal to the binomial coefficient . The rule of sum therefore gives
For finite sets, the inclusion-exclusion principle states
Thus single-set cardinalities are added, pairwise-intersection cardinalities subtracted, triple-intersection cardinalities added, and so on.
Let contain the multiples of among . Its cardinality is , using the floor function. Because are pairwise coprime, their pairwise intersections correspond to divisibility by , and their triple intersection to divisibility by . The inclusion-exclusion principle gives
The pigeonhole principle states that if objects are placed in boxes and , at least one box contains at least two objects.
Set , using the ceiling function. If no box contains at least objects, all boxes contain at most , so the total number of objects is at most . Taking the contrapositive, a total greater than forces some box to contain at least objects. But , hence . This proves the generalized pigeonhole principle: some box contains at least objects.
By the generalized pigeonhole principle, 13 cards guarantee cards in one suit. The guarantee is sharp: 12 cards can consist of three cards from each suit, with no four cards of a common suit.
Use mathematical induction on . For , the sum is . Suppose it is at . Then
The induction is complete, proving . The factorial identity also explains the cancellation directly.
In big O notation, means that there exist and such that for every integer . For the required polynomial versus exponential growth comparison, . If and , then
By mathematical induction, for all . Thus , with and .
A binary relation on is a reflexive relation precisely when for every .
A binary relation on is a symmetric relation precisely when for all .
A binary relation on is an antisymmetric relation precisely when for all .
A binary relation on is a transitive relation precisely when for all .
For a counterexample to closure under union of antisymmetric relations, take , , and . Each is an antisymmetric relation: neither contains an off-diagonal pair together with its reverse. But contains both and while . Therefore is not an antisymmetric relation.
Write . Equality of -values defines an equivalence relation induced by a function: equality is reflexive, symmetric, and transitive, so all three properties hold for . The equivalence class of is
For this is the circle centred at the origin with radius ; the remaining equivalence class is the singleton .
This binary relation is not an equivalence relation, because it is not symmetric: since , but is false. In fact the injective encoding gives a total order. There are no equivalence classes for this binary relation.
Every nonzero integer has , proving reflexivity. Because , the relation is symmetric. If and , then , proving transitivity. Thus this is an equivalence relation, whose two equivalence classes are the positive integers and the negative integers:

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