\begin{proof}
Assume via contradiction that . Then . Clearly then is an even number so then must be even since an even times an even is even. Then set where . Then:
so then is even and thus is even. But look! must not share any factors with each other as should already be reduced to simplest form. Hence, then we have a contradiction, so the in question cannot exist. \end{proof}
Recall that the natural numbers are:
then the integers:
then the rationals:
We note that is a field, where:
Commutative
Associative
Left distributive
Additive identity
Additive inverse
Multiplicative Identity
Multiplicative Inverse
are the properties that must hold. Note that are not fields but is a field considering the addition and multiplication operators are done .
also has:
Natural order, only one is true:
Is transitive: .
There's always some rational number between two rationals
as such we can do addition, subtraction, multiplication, and division on , but again so then we are missing at least some numbers! Hence, the real numbers try to solve this incompleteness issue.
1.2: Some Preliminaries
Review of Set Theory
This chapter mainly review set and proof theory:
Sets are a collection of elements
We write if is an element of
Union:
Intersection:
Empty Set: is the set with no elements:
Two sets are distoint if
Subset: if implies
Set equivalence: both and is the same as
and similar for intersection. If then it equals
implies that there is some where
implies that there for all then
Complement: where is the universe of discourse. For our sakes usually
De Morgan's Laws:
Functions Review
For functions:
Denote a function as a function that maps elements from to elements in .
If then is some element associated with
. This is also known as the image.
Okay, some new theorems:
Triangle Inequality
We denote the absolute value function as where:
This satisfies:
for all . You can prove these just considering the cases when are non-negative or not. Note that and we denote this value as the distance between . So the triangle inequality says that the distance from any two points is less than the sum of the distances to their origins respectively, or the distance to some intermediary point where .
Logic and Proofs
Proof strategies we know are:
proof by contradiction
direct proof
contrapositive proof (same as proof by contradiction, except the negated conclusion is now in the hypothesis of the theorem)
Example
Two real numbers are equal iff for all it follows that .
\begin{proof}
We prove the forward direction first. Suppose . Then clearly so then if we let be arbitrary then clearly as required.
Now for the reverse direction . Notice that we get a as a given, which isn't great, so we should try proof by contradiction. Thus, suppose for all that . Assume for contradiction that . Then choose . Then:
hence our assumption was incorrect, so then instead. \end{proof}
Induction
The idea behind induction is to do the following:
Show the base case that is true
Have an inductive hypothesis that is true
Prove that, using these hypotheses, that is true.
Example
Let and for all that . Then is non-decreasing, or
\begin{proof}
Let's use induction:
We know and calculating the next term so clearly .
Suppose for our inductive hypothesis that for some that all .
Consider if . We know that from our inductive hypothesis. Notice that if we start from there:
Hence, via the principle of mathematical induction, is a non-decreasing sequence. \end{proof}
1.3: The Axiom of Completeness
We note that really is just an extension of , filling in the irrational holes like This definition of really was chosen for this property of completeness, so even though the justification as to why this property is important will have to wait, you'll see why as we use this axiom a ton. Just know that by the 1870s, we had a pretty rigorous way to construct from , which we'll get to see in 8.6.
An Initial Definition of
First contains with the same operations of addition, multiplication:
All elements has their additive inverse and if then the multiplicative inverse exists too.
is a field, giving the properties of:
Commutativity
Associativity
Distributive Property
also gets the ordering from to all of . So thing like "If and implies " are silently derived from this ordering.
Thus, is an ordered field, containing as a subfield
This brings us to the idea of completeness. We need to say that doesn't have "any gaps" where the irrationals should go:
The Axiom of Completeness
Every nonempty set of real numbers that is bounded above has a least upper bound
Let's explore what this means...
Least Upper Bounds and Greatest Lower Bounds
Bounds
A set is bounded above if there exists a number such that for all . The number is called an upper bound for .
Likewise, the set is bounded below if there exists a lower bound where for every .
Least Upper Bound
Some is the least upper bound for a set if it meets:
is an upper bound for
if is any upper bound for then
We denote the least upper bound as the supremum, or . Sometimes you'll set but we stick with the former.
The greatest lower bound, called the infimum for , is defined similarly and is denoted by .
Note that can have many upper bounds, but the supremum, the least upper bound, is unique. This is because using property (2) in the definition, for two suprema then individually and likewise , so then showing uniqueness.
Example
Let:
is bounded above and below. An upper bound could be . Clearly though here . We can show this using the definition.
\begin{proof}
Let's prove (i), showing that is an upper bound on . Notice that:
is true since , hence showing that it's a valid upper bound.
For (ii), let be another upper bound for . Since and is an upper bound for then we must have it that , showing property (ii) exactly! \end{proof}
Note that here but this isn't always the case:
Maxima and Minima
A real number is a maximum of the set if is an element of and for all . Similarly, a number is a minimum of if and for every .
Example
Consider the intervals and . Both sets are bounded above and below and have the same least upper bound, namely 2. But for to be a maximum of the set, we require it being in the set, so then the former set doesn't have it's maximum, while the latter does.
This goes to show that the supremum need not be a maximum, but if a maximum exists, then it is the supremum.
Thus, the axiom of completeness doesn't get a proof, as it's the foundation of how exists. But let's look at why is itself incomplete:
Example
Consider . Clearly is bounded above, such as by , or or similar. But looking for the least upper bound, we can find rational approximations (ex: ) but then we can always find a smaller upper bound (ex: ). In , we lack the axiom of completeness to get this least upper bound into the set.
But in there is the axiom! The axiom of completeness asy that which is a real number. We will prove that and thus but we know that isn't rational from the irrationality of , so then for the rationals we can't use this search to find it.
We'll need some properties of to be able to determine this suprema. So let's get to those:
Example
Let be nonempty and bounded above, and let . Define the set by:
Then .
\begin{proof}
For (i), set . We see that for all consequently, but then as required.
For (ii), let be an arbitrary upper bound for , so then for all . Then for all . So then is an upper bound for . Since is the least upper bound for , then we have it that , thus , completing (ii).
Therefore, . \end{proof}
Note that (i) states that the suprema is an upper bound, and then (ii) further states it's the lowest one. Thus, we can use it as a lemma:
Lemma
Suppose is an upper bound for a set . Then iff, for all there is an element satisfying .
\begin{proof}
This lemma essentially says that given is an upper bound, then is the least upper bound iff any number smaller than is not an upper bound.
(). Suppose . Let . Consider . Since and is the least upper bound, then is not an upper bound for . Hence, there's some other bound where as otherwise then is an upper bound for which is a contradiction.
(). Suppose for all there is some where . We are already given that is an upper bound (you can also consider if to show that which contradicts being an upper bound), so consider (ii). Let be some other upper bound for , so then for all then . Choose . Then from our given then , but ! Hence, if were to be an upper bound then we must have it that so then then as required. \end{proof}