Chapter 3
The Real Numbers
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Section 3.2, Slide 1
Section 3.2
Ordered Fields
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Section 3.2, Slide 2
The real numbers
are an example of an ordered field.
We have two operations, + and ⋅ , called addition and multiplication, such that
the following properties apply:
A1. For all x, y ∈
A2. For all x, y ∈
, x+y∈
and if x = w and y = z, then x + y = w + z.
, x + y = y + x.
A3. For all x, y, z ∈
Commutative Property
, x + ( y + z)
Associative Property
= (x + y) + z.
A4. There is a unique real number 0 such that x + 0 = x for all x ∈
A5. For each x ∈
M1. For all x, y ∈
M2. For all x, y ∈
, x⋅y∈
, x ⋅ ( y ⋅ z)
Additive Identity
.
there is a unique real number − x such that
Multiplication
Commutative Property
Associative Property
= (x ⋅ y) ⋅ z.
M4. There is a unique real number 1 such that 1 ≠ 0 and x ⋅ 1 = x for all x ∈
M5. For each
DL. For all x, y, z ∈
Add. Inverse
x + (− x) = 0.
and if x = w and y = z, then x ⋅ y = w ⋅ z.
, x ⋅ y = y ⋅ x.
M3. For all x, y, z ∈
Addition
, x ⋅ ( y + z)
x∈
with x ≠ 0, there is a unique real number 1/ x
= (x ⋅ y) + (x ⋅ z)
.
Mult. Identity
such that x ⋅ (1/ x) = 1.
Distributive Law
Mult. Inverse
These 11 axioms are called the field axioms.
Copyright © 2013, 2005, 2001 Pearson Education, Inc.
Section 3.2, Slide 3
In addition to the field axioms, the real numbers also satisfy four order axioms.
These axioms indentify the properties of the relation “<”.
Note: a > b means b < a.
trichotomy law
O1. For all x, y ∈
O2. For all x, y, z ∈
O3. For all x, y, z ∈
, exactly one of the relations x = y, x > y, or x < y holds.
, if x <
, if x <
O4. For all x, y, z ∈
transitive property
y and y < z, then x < z.
y then x + z < y + z.
, if x <
y and z > 0, then x ⋅ z < y ⋅ z.
Our first theorem shows how the axioms may be used to derive some familiar algebraic
properties.
Theorem 3.2.1
Let
x, y, and z be real numbers.
(a) If x + z = y + z, then x = y.
(c) – 0 = 0.
(e) x ⋅ y = 0 iff x = 0 or y = 0.
(b) x ⋅ 0 = 0.
(d) (–1) ⋅ x = – x.
(f) x < y iff – y
<
– x.
(g) If x < y and z < 0, then x ⋅ z > y ⋅ z.
We illustrate the proofs by doing parts (a) and (d).
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Section 3.2, Slide 4
Theorem 3.2.1 Let x, y and z be real numbers.
(a) If x + z = y + z, then x = y.
Proof:
If x + z = y + z,
then (x + z) + (– z) = ( y + z) + (– z)
by A5 (add. inverse)
and A1 (addition)
x + [z + (– z)] = y + [z + (– z)]
x+0 = y+0
x = y
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by A3 (assoc. property)
by A5 (add. inverse)
by A4 (add. identity)
Section 3.2, Slide 5
Theorem 3.2.1 Let x, y and z be real numbers.
(d) For any real x, (–1) ⋅ x = – x.
Question: What is –1?
Answer: –1 is the number which when added to 1 gives 0.
Question: What is – x?
Answer: – x is the number which when added to x gives 0.
Question: So how do we show that (–1) ⋅ x =
– x?
Answer: We show that (–1) ⋅ x satisfies definition of – x.
Namely, when (–1) ⋅ x is added to x, the result is 0.
Proof:
We must show that x + (–1) ⋅ x
= 0.
x + (–1) ⋅ x
We have
Thus (–1) ⋅ x
by M2 (commutative)
= x + x ⋅ (–1)
= x ⋅ (1) + x ⋅ (–1)
by M4 (mult. identity)
= x ⋅ [1 + (–1)]
by DL (distributive law)
= x⋅0
by A5 (add. inverse)
= 0
by part (b)
= – x by the uniqueness of – x in A5. ♦
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Section 3.2, Slide 6
Any mathematical system that satisfies these fifteen axioms is called an ordered field.
The real numbers
The rational numbers
But there are other examples as well.
are an example of an ordered field.
are another example.
Example 3.2.6
For a more unusual example of an ordered field, let
That is,
be the set of all rational functions.
A typical element of
is the set of all quotients of polynomials.
an x n + L + a1x + a0
,
k
bk x + L + b1x + b0
looks like
where the coefficients are real numbers and bk ≠ 0.
Using the usual rules for adding, subtracting, multiplying, and dividing polynomials,
it is not difficult to verify that
is a field.
quotient such as above is positive iff
We can define an order on
by saying that a
an and bk have the same sign; that is, an ⋅ bk > 0.
3x 2 + 4 x − 1
> 0,
For example,
since (3)(7) > 0.
5
7x + 5
4 x5 + 3x − 2
< 0,
2But
3
6x − 7x
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since (4)(–7) < 0.
Section 3.2, Slide 7
If
p /q and f /g are rational functions, then we say that
That is,
p f
>
q g
iff
p f
>
q g
iff
p f
− > 0.
q g
pg − fq
> 0.
qg
Practice 3.2.7*
Which is larger,
3
x2
or
?
7
x2
We have
3 x2
21 − x 4
− x 4 + 21
−
=
=
< 0.
x2 7
7 x2
7 x2
3
x2
So, 2 <
.
7
x
The verification that “> ” satisfies the order axioms is Exercise 11.
It turns out that the ordered field
has a number of interesting properties,
as we shall see later.
There is one more algebraic property of the real numbers to which we give special
attention because of its frequent use in proofs in analysis, and because it may not familiar.
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Section 3.2, Slide 8
Theorem 3.2.8
Let x, y ∈
such that
x ≤ y + ε for every ε > 0. Then x ≤ y.
Proof: We shall establish the contrapositive.
By axiom O1 (the trichotomy law), the negation of
that x > y and we must show that there exists an ε
Question: If
Thus we suppose
x ≤ y is x > y.
> 0 such that x > y + ε.
x > y, what positive ε can we add on to y so that x > y + ε ?
ε
We could take ε
y
Let ε =
(x – y) /2.
x
Since x > y, ε > 0.
y +ε = y +
the distance from x to y.
Furthermore,
x− y
x+ y
x+x
=
<
= x,
2
2
2
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equal to half
as required. ♦
Section 3.2, Slide 9
Recall the definition of absolute value from Section 1.4.
Definition 3.2.9
If x ∈
, then the absolute value of x, denoted by | x |, is defined by
x, if x ≥ 0,
| x| =
− x, if x < 0.
The basic properties of absolute value are summarized in the following theorem.
Theorem 3.2.10
Let
x, y ∈
and let a > 0. Then
(a) | x | ≥ 0,
(b) | x | ≤ a iff − a ≤ x ≤ a,
(c) | x y | = | x | ⋅ | y |,
(d) | x + y | ≤ | x | + | y |.
We will prove parts (b) and (d).
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Section 3.2, Slide 10
Theorem 3.2.10 (b)
Let
x, y ∈
and let a > 0. Then
| x | ≤ a
iff − a ≤ x ≤ a.
Proof:
Since x = | x | or x = − | x |, it follows that − | x | ≤ x ≤ | x |.
If | x | ≤ a, then we have
− a ≤ − | x | ≤ x ≤ | x | ≤ a.
Conversely, suppose that
−
If x ≥ 0, then | x | = x ≤ a.
a ≤ x ≤ a.
And if x < 0, then | x | = − x ≤ a.
In both cases, | x | ≤ a.
Theorem 3.2.10 (d)
Let
x, y ∈
and let a > 0. Then
| x + y | ≤ | x | + | y |.
Proof:
As in part (b), we have
− | x | ≤ x ≤ | x | and − | y | ≤ y ≤ | y | .
Adding the inequalities together, we obtain
which implies that | x + y |
≤|
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− (| x | + | y |) ≤ x + y ≤ | x | + | y |,
x | + | y | by part (b). ♦
Section 3.2, Slide 11
Part (d) of Theorem 3.2.10 is referred to as the triangle inequality:
| x + y | ≤ | x | + | y |.
Its name comes from its being used with vectors in the plane, where
| x | represents
the length of vector x.
x+
y
y
x
It says that the length of one side of a triangle is less than or equal to the sum of the
lengths of the other two sides.
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Section 3.2, Slide 12