Remaining TODOs: 1
1. The real numbers
1.1. Field axioms
Definition 1.1.1
A field is a set with two binary operations โsumโ and โproductโ , such that the 10 field axioms A1-A4, M1-M4, D, Z are satisified.
A1-A4 govern addition:
- A1
- (commutativity)
- A2
- (associativity)
- A3
- s.t. (additive identity)
- A4
- s.t. (additive inverse)
M1-M4 deal with multiplication:
- M1
(commutativity)
- M2
(associativity)
- M3
s.t. (multiplicative identity)
- M4
s.t. . (multiplicative inverse)
- D
(distributivity)
- Z
Remark 1.1.2
Without axiom Z, would be a field, which is undesirable.Proposition 1.1.3
If , then , i.e. is the unique additive identity.
Proof. As , then
By A2,
Hence .โ
Remark 1.1.4
Associativity means that unbracketed finite sums and products are unambiguous.
This isnโt true for infinite sums and products in general.
Proposition 1.1.5
for all .
Proof.
so by additive inverse.
โ
Proposition 1.1.6
If then .
Proof. By contraposition.
Suppose and .
Then
By M2, M1, M4, LHS , so by M3, .โ
Remark 1.1.7
We write to mean .Remark 1.1.8
We write to mean , and .Remark 1.1.9
For and positive integer , we define , and .Remark 1.1.10
For , we define .Remark 1.1.11
For and , we define .1.2. Order axioms
Definition 1.2.1
The order axioms say that there is a subset such that:
- P1
- If then
- P2
- If then
- P3
- For all , precisely one of holds (trichotomy)
We say โ is positiveโ when .
As an interval, .
Definition 1.2.2
For , we write and .Proposition 1.2.3
is a total order on .
Proof.
is reflexive: , so for all .
is antisymmetric: suppose and . Then and . These contradict P3 unless .
is transitive: suppose and . Then . If a pair of are equal, clearly . Otherwise, so by P1, so .
Every pair is comparable:
- If , done
- If , done
- By trichotomy, the only other option is , so (so ).โ
Proposition 1.2.4
Let .
- If then
- If and then
(i). by assumption.โ
(ii).
.
If or , then .
If and , then by P2.โ
Proposition 1.2.5
is not an ordered field, i.e. there is no satisfying axioms P1-3.
Proof. Suppose for the sake of contradiction that there is such a .
By P3, one of .
If , then , contradicting axiom Z.
If , then by P2, . This contradicts P3.
If , we get the same contradiction.
Therefore is not an ordered field.โ
Definition 1.2.6
We define the maximum function to be
This is well-defined by the trichotomy axiom P3.
We define the minimum similarly:
We define the modulus function to be
Lemma 1.2.7
The function is increasing on .
Proof. For s.t. , by P2. This satisfies the definition of , so is increasing on this interval.โ
Theorem 1.2.9 (Bernoulli's inequality)
Let and , then .
Proof. By induction.
When , LHS RHS.
Suppose true for . Then
Hence true by induction.
โ
1.3. The completeness axiom
Remark 1.3.1
Many fields also satisfy the order axioms (e.g. ). One way that is different from is that the rationals have some โgapsโ, e.g. s.t. .Definition 1.3.2
Let .
is the maximum of if and . The minimum is similarly defined.
is an upper bound for if ; a lower bound is defined similarly.
is bounded if has a lower and an upper bound.
Definition 1.3.3
The supremum of a set , , is the least upper bound of .Proposition 1.3.4
For :
- If exists, it is unique.
- If (โleast upper boundโ) exists, it is unique.
- If exists, .
Proof.
- Suppose are maxima of . Then as is a max and . Also by the same argument. Hence .
- A least upper bound is an upper bound which is less than or equal to any upper bound. For two least upper bounds, and so .
- because . But is an upper bound itself, so . Therefore .
โ
Definition 1.3.5
The completeness axiom is:
- C
- Every nonempty bounded above has a supremum.
Remark 1.3.6
To verify that is the supremum of a set involved showing that:
- if then
Alternatively, the second step can be replaced with showing that
Proposition 1.3.7 (Approximation Property)
For nonempty that is bounded above, and , there is some such that
Proof. If there were no such , then would be an upper bound of less than the least upper bound, which is a contradiction.โ
Remark 1.3.8
There are many equivalent statements of the completeness axioms.Definition 1.3.9
The infimum of a set is the greatest lower bound of . We donโt need any additional axioms to show the existance of an infimum equivalent to the supremum, because for we can define
Remark 1.3.10
The reals are essentially unique in satisfying the field, order and completeness axioms.Theorem 1.3.11
There is a unique s.t. .
Proof. Let .
Note that and that 2 bounds from above. We set , which exists by the completeness axiom.
By trichotomy, or or .
Suppose for the sake of contradiction that . Pick , then . Then no element of lies in . This contradicts the approximation property.
Suppose for the sake of contradiction that . Pick (so that ), then
giving . Therefore , but , contradiction.
By trichotomy, .
To show uniqueness, suppose that and . Then and
Since , it must be that so .โ
Remark 1.3.12
We can generalise these arguments to show the uniqueness of th roots for positive reals.Proposition 1.3.13 (Archimedian Property of )
is not bounded within ; that is, given any , there is such that .
Proof. Suppose for the sake of contradiction that such an upper bound exists. As , we can choose . By the approximation property with , there exists such that . But and . Contradiction.โ
2. Countability
Definition 2.1
We say that a set is countably infinite or denumerable if there is a bijection between and .
A set is countable if it is finite or countably infinite, i.e. it has an injection into .
Example 2.2
is countable.
(by Cantor). We put in a grid indexed by numerator and denominator. We can count by the elements of by zigzagging diagonally, omitting repetitions.
Thereโs then a natural bijection to .โ
Corollary 2.2.1
If and are countable then so is .
Proof. We use the same diagonal counting as for .โ
Corollary 2.2.2
If is a family of countable sets for , is also countable.Remark 2.3
The computable numbers (those that can be calculated in principle to any required accuracy by a finite program) are countable.
You can show this by enumerating all finite programs written in a finite alphabet, which are countable by Cantorโs diagonal counting.
Theorem 2.4
is uncountable.
Proof. We show that is uncountable.
Suppose for the sake of contradiction that we can list the elements of by their decimal expansions, such that , etc.
Then we can construct a new number different from each , by making sure the th digit place of is different from the th digit of , for instance by choosing if , and 6 otherwise.
By construction, for all , so the enumeration was not exhaustive. Contradiction.โ
Remark 2.5
Since is uncountable, we necessarily need infinite processes to describe all the real numbers.Theorem 2.6 (Cantor's Theorem)
For any set , . That is, there is an injection from into , but not a bijection.Theorem 2.7
.Definition 2.8
The Continuum Hypothesis asks whether there is an infinite cardinal strictly between and .Remark 2.9
Unfortunately, the Continuum Hypothesis is independent of standard set theory axioms.3. Sequences & convergence
3.1. Real converges
Definition 3.1.1
A real sequence is a map .
We can list the sequence in order
Definition 3.1.2
A real sequence tends to to (also written as or ) when
We say that converges if s.t. , or fully
We say that diverges if it doesnโt converge, that is
Definition 3.1.3
The th tail of the sequence is .Definition 3.1.4
We call a (basic) neighbourhood of .Remark 3.1.5
is equivalent to every neighbourhood of containing a tail of .Remark 3.1.6
The space of real sequences is a real vector space, and in fact is an algebra. That is, given real sequences and , the following are naturally defined termwise:
Proposition 3.1.7
If a real sequence converged, its limit is unique.
Proof. Suppose for the sake of contradiction that and , for .
Let .
Since , there is a tail of in . Say that this is the th tail.
Similarly, there is an such that the th tail of is in .
W.L.O.G. say that . Then and .
For , we have . Contradiction.โ
Proposition 3.1.8
Convergent sequences are bounded.
Proof. Set . As , there exists such that, for all , .
For , by the triangle inequality.
So for all , we have .
Hence is bounded.โ
Proposition 3.1.9
Let and , then
Proof. Suppose , and write .
By the binomial theorem,
Therefore
Given any we can choose suitably large such that
for all .โ
3.2. Complex sequences
Definition 3.2.1
A complex sequence is a map .Definition 3.2.2
We say converges if
This is equivalent to saying that s.t. .
Remark 3.2.3
As with real sequences, limits of complex sequences are unique, and convergent complex sequences are bounded.Proposition 3.2.4
A complex sequence converges iff and both converge.
In particular
Proof. Suppose that and , and let .
Let . As , s.t. , . Similarly, s.t. , .
So ,
Remark 3.2.5
3.3. Infinity
Definition 3.3.1
We say a real sequence as if
We can similarly say that if
Remark 3.3.2
if, given any neighbourhood of we can find a tail of the sequence that lies within that neighbourhood.Definition 3.3.3
In there is just a single , in โall directionsโ.
We say that if
4. Algebra of limits
Proposition 4.1 (Limits respect weak inequalities)
Suppose that and with for all . Then .
Proof. Suppose for the sake of contradiction that and take .
As , s.t. , . Similarly, s.t. , .
Then , , which is a contradiction.โ
Remark 4.2
doesnโt respect strict inequalities; for example, for , we have that , but .Proposition 4.3 (sandwich lemma)
Suppose that for all and that .
Then .
Proof. Let . Then since , s.t. , . Similarly, s.t. , .
So , . hence , so .โ
Theorem 4.4 (algebra of limits)
Given real or complex sequences and :
- (sums)
- (products)
- (quotients)
- if then
- (modulus)
Proof.
- (sums)
Note that
Let , then since ,
Similarly,
so
- (products)
Note that
Let . Since , is bounded, for some .
Since ,
Similarly,
Then ,
- (quotients)
STP that if , , then .
Since , by taking , there is some s.t.
So for , we have
Let , then as there is some s.t.
and
- (modulus)
This follows as .
โ
5. More on sequences
5.1. Monotone sequences
Definition 5.1.1
TODO monotoneTheorem 5.1.2
An increasing sequence . If is bounded above, it converges.
Proof. Since is nonempty and bounded above, a supremum exists.
Let . By the approximation property, s.t.
and further since is increasing, for all ,
Hence .โ
Theorem 5.1.3 (Nested Intervals Theorem)
Let be a nested sequence of closed, bounded intervals (nested means ).
Then
- if then is a singleton.
Proof. Note that since , then is increasing and is decreasing.
As for all , and for all , then both sequences converge. Set .
Note that , hence for all , and .
If then . In this case, if for all , then for all , so by sandwiching, and .โ
Theorem 5.1.4 (decimal expansion)
Let . Then there os a unique sequence of integers such that
Remark 5.1.5
As , without further specification, decimal expansions arenโt unique.Remark 5.1.6
We can extend this to any base .