Foundation of real analysis: set theory, real number properties, and function fundamentals
A set is a well-defined collection of distinct objects. A set is:
For sets A and B:
For sets A and B in universal set U:
We prove the first law by double inclusion:
Part 1: Let . Then , so and . Therefore .
Part 2: Let . Then and , so and . Therefore , so .
Let and .
A set is:
For a set :
If sup S ∈ S, then sup S = max S. Otherwise, max S does not exist.
Every non-empty set of real numbers that is bounded above has a supremum in .
For :
A function is a rule that assigns to each element exactly one element .
A function is bounded if there exists such that for all .
A function is:
Let and .
A Dedekind cut is a partition of into two non-empty sets and such that:
Every non-empty set of real numbers that is bounded above has a supremum in .
This property distinguishes from .
The number is defined as the Dedekind cut:
This cut has no rational supremum, so it represents an irrational number.
For any real numbers :
Since and , adding gives:
Therefore .
For any real number , there exists a natural number such that .
Theorem: Between any two distinct real numbers, there exists a rational number.
Proof sketch: Use the Archimedean property to find a rational with denominator large enough to fit between the two reals.
If and , then the composition is defined by:
A function is injective (one-to-one) if:
A function is surjective (onto) if for every , there exists such that .
If is bijective (both injective and surjective), then the inverse function satisfies:
If is strictly monotonic on an interval , then is injective and has an inverse on .
Let and .
A set is countable if there exists a bijection . A set is uncountable if it is not countable.
A ⊆ B (subset) means every element of A is in B, including the case A = B. A ⊂ B (proper subset) means A ⊆ B AND A ≠ B.
By definition, A ⊆ B means 'for all x, if x ∈ A then x ∈ B'. For the empty set ∅, there are no elements, so the statement is vacuously true for any B.
The supremum (sup) of a set S is the least upper bound. It may or may not be in S. The maximum is the largest element in S, so it must be in S. For example, sup(0,1) = 1 but max(0,1) doesn't exist.
Prove double inclusion: show A ⊆ B and B ⊆ A. This is called the 'element-chasing' method.
A function f is bounded on a set D if there exists M > 0 such that |f(x)| ≤ M for all x ∈ D. This means the function values stay within a finite range.