which means 36∣(7k+1−6(k+1)−1). By induction, this is true for all positive integers.
Rational Numbers Q
Theorem (rational roots theorem)
Consider the equation
cnxn+cn−1xn−1+⋯+c0=0,
where c0,c1,…,cn∈Z. Let r=dc be a rational solution to the equation, where r is simplified so that c and d have no factors in common. Then c is a factor of c0 and d is a factor of cn.
The intuition for the proof is as follows: dc is a root of dx−c, so we want to factor the polynomial into
If we compare coefficients, we see cn=dan−1 and −ca0=c0, so if an−1 and a0 are integers, then d should divide cn and c should divide c0. We can't guarantee that an−1 and a0 are integers, though, so this isn't a proof.
Corollary
If p is a prime and n≥2 is a positive integer, then np is irrational.
Proof.
(Sketch)
Consider the equation
xn−p=0.
Write out all the possible rational solutions and show that none of them are actually solutions. (Recall that 1 is not a prime.)
□
Real Numbers R
Definition
One problem with Q is that it has lots of gaps. For example, you can "separate" Q into
Q={q∈Q∣q2<2}∪{q∈Q∣q2>2},
i.e., Q "jumps over" 2. This is why we want to work with the real numbers; it has no gaps.
Definition (the real numbers)
The real numbers, denoted R, is the ordered field with the least upper bound property.
In other words, R is what you "expect it to be":
Ordered means you can compare two numbers, i.e., they're equal or one is bigger than the other.
Field means you can add, subtract, multiply, and divide like you always did.
The least upper bound property takes a bit more work to understand.
The Least Upper Bound Property
Definition
Let S⊆R. Then
S is bounded above if there exists B∈R such that ∀x∈S, x≤B. We call B an upper bound for S.
S is bounded below if there exists L∈R such that ∀x∈S, L≤x. We call L a lower bound for S.
S is bounded if it is both bounded above and bounded below.
Example 3.
If a,b are finite, then:
(−∞,b) is bounded from above (by b) but not from below,
(a,∞) is bounded from below (by a) but not from above,
(a,b) is bounded.
Now we can understand what the least upper bound property is:
Definition
R has the least upper bound property, that is:
If S⊆R is non-empty and bounded above, then there exists x∗∈R such that:
x∗ is an upper bound for S, and
if B is another upper bound for S, then x∗≤B.
When this happens, we call x∗ the supremum of S and write x∗=supS.
The least upper bound is what it sounds like: it's an upper bound that's smaller than any other upper bound.
Proposition
If supS exists, then it is unique.
Proof.
Suppose x,x′ are two least upper bounds for S.
Since x is a least upper bound and x′ is another upper bound for S, we get x≤x′.
Similarly, x′ is a least upper bound and x is an upper bound for S, so x′≤x.
Putting these together, we get x=x′.
□
Example 4.
If a<b and b is finite, then sup(a,b)=b. Here, a is allowed to be −∞.
Solution.
To show that b is the least upper bound, we need to show:
it is an upper bound, and
if M is another upper bound for (a,b), then b≤M.
By definition, if x∈(a,b), then a<x<b, so b is an upper bound for (a,b), which proves (1).
We'll prove (2) by contradiction: assume that M is another upper bound for (a,b), but M<b. There are two cases:
Case 1: If a=−∞, then M∈(−∞,b).
Case 2: If a is finite, then 2a+b∈(a,b). By definition of upper bound, 2a+b≤M, so
a<2a+b≤M<b,
so M∈(a,b).
In either case, M∈(a,b), but this means that 2M+b∈(a,b), so
M<2M+b<b,
a contradiction. Thus, b≤M to begin with, which completes the proof.
Definition
We say that R has the greatest lower bound property if:
Whenever S⊆R is non-empty and bounded below, there exists x∗∈R such that:
x∗ is a lower bound for S, and
if L is another lower bound for S, then L≤x∗.
In this case, we say x∗ is the infimum of S, and we write x∗=infS.
Proposition
R has the greatest lower bound property.
Proof.
The closest thing we have to this is the least upper bound property, so we want to try to use it somehow.
The idea is try to reverse engineer what the greatest lower bound for S would be. If we "mirror" S, i.e., consider the set −S={−x∣x∈S}, then we get something like this:
Based on this picture, infS should correspond to sup(−S) after the reflection. Since S=∅, this tells us that −S=∅ also. We also know that S is bounded below, so let L be a lower bound for S. Then given −x∈S,
L≤x⟹−x≤−L,
so −L is an upper bound for −S, i.e., −S is bounded from above. By the least upper bound property, sup(−S) exists.
Based on the picture, we will try to prove that infS=−sup(−S). As before, there are two things to prove:
−sup(−S) is a lower bound for S, and
if L is another lower bound for S, then L≤−sup(−S).
To show (1), let x∈S. Then −x∈−S, so by definition of the supremum,
−x≤sup(−S)⟹−sup(−S)≤x.
Since x was arbitrary, this means −sup(−S) is a lower bound for S.
To show (2), let L be another lower bound for S. Then by the same argument as before, −L is an upper bound for −S, so by the least upper bound property,
sup(−S)≤−L⟹−sup(−S)≤L.
Thus (2) holds, so infS=−sup(−S).
□
Exercise 1.
Prove that if infS exists, then it is unique.
Example 5.
If a,b are real numbers such that a is finite and a<b, then inf(a,b)=a.
Solution.
In our proof of the greatest lower bound property, we showed that infS=−sup(−S). Applying this with S=(a,b), we get