Motivation Examples
(a) Since there does not exist a rational number p = m
n ∈ Q, gcd(m, n) = 1, satisfying the equation
p2 = 2,
we try to find a sequence {pk} approximation solutions of rational numbers such that lim
k→∞p2k = 2.
Naturally, one would ask Q1. Does the limit lim
k→∞pk, i.e. the solution, exist in Q?
Q2. Does there exist in an extension R of Q such that the limit, i.e. the solution, lim
k→∞pk∈ R?
(b) To find a root of the equation
p2− 4p − 8 = 0, we consider a sequence {pk} defined by
p1 = −2
pk+1 = 1 + 11
pk− 3 for k = 1, 2, . . . . Note that {pk} is a sequence of rational numbers, but the limit lim
k→∞pk, i.e. a root of the equation p2− 4p − 8 = 0, is not a rational number.
(c) To solve the initial value problem (IVP)
dy
dx = f (x, y) for x ∈ I = (a, b) ⊆ R y(x0) = y0 for some x0 ∈ I we consider a sequence {yk} defined by
(1) Let y0(x) = y0 for every x ∈ I (2) and dyk+1
dx = f (x, yk) for k = 0, 1, 2, . . . . Naturally, one would ask
Q1. Does the limit lim
k→∞yk exist?
Q2. Suppose the limit y = lim
k→∞yk exist, does it solve the IVP? i.e.
Does lim
k→∞
d
dxyk+1 = d dx lim
k→∞yk+1? Does lim
k→∞f (x, yk) = f (x, lim
k→∞yk)?
(d) To solve the IVP,
(y0 = 2x(1 + y) for x ∈ (−∞, ∞) y(0) = 0
we consider a sequence {yk} defined by
(1) Let y0(x) = 0 for every x ∈ (−∞, ∞) (2) and dyk+1
dx = 2x(1 + yk) for k = 0, 1, 2, . . . . Then we have
yk+1(x) = Z x
0
2s(1 + yk(s)) ds and
y1(x) = Z x
0
2s ds = x2 y2(x) =
Z x 0
2s(1 + s2) ds = x2+ x4 2
· · · · yk(x) = x2+ x4
2 + x6
3! + · · · + x2k
· · · k!
Since
∞
X
n=1
x2n
n! converges everywhere in R, it is uniformly convergent on any bounded closed subinterval of R and
y(x) = lim
k→∞yk(x) =
∞
X
n=1
x2n
n! = ex2 − 1 is the solution for the IVP.
Definitions
(a) Suppose S is an ordered set, and E ⊂ S. If E there is a real number β such that x ≤ β for all x in E,
we say that E is bounded from above, and call β an upper bound of E.
(b) Suppose S is an ordered set, E ⊂ S, and E is bounded from above. A number α is called the least upper bound (or supremum) of E, denoted by α = lub E or sup E, if it satisfies the following conditions:
(i) x ≤ α for all x in E, i.e. α is an upper bound of E,
(ii) if γ < α then there exists an x ∈ E such that γ < x, i.e. γ is not an upper bound of E.
(c) An ordered set S is said to have the least upper bound (lub) property if the following is true:
If E is a nonempty, bounded from above subset of S, then sup E exists in S, i.e. sup E ∈ S.
Remarks Suppose S is an ordered set and E is a nonempty subset of S.
(a) If α = sup E exists, then it is unique.
(b) If α = sup E exists, then either α ∈ E or α /∈ E.
(c) If E ⊂ F ⊂ S and F is bounded from above, then so is E and
if both sup E and sup F exist, then sup E ≤ sup F.
(d) Examples (i) Let
S = Q
A = {p ∈ Q | p > 0 and p2 < 2} 6= ∅ bounded from above B = {p ∈ Q | p > 0 and p2 > 2} 6= ∅ bounded from belowe
Since p2 = 2 has no rational root =⇒ sup A /∈ Q and Q does not have the lub property.
(ii) Let
S = Q
E = {1
n ∈ Q | n = 1, 2, 3, . . .}
Then
sup E = 1 ∈ E and inf E = 0 /∈ E.
(iii) Let
S = Q
E1 = {r ∈ Q | r < 0}
E2 = {r ∈ Q | r ≤ 0}
Then
E1 ⊆ E2, sup E1 = sup E2 = 0 ∈ E2 and 0 /∈ E1.
Definitions
(a) Suppose S is an ordered set, and E ⊂ S. If E there is a real number β such that β ≤ x for all x in E,
we say that E is bounded from below, and call β a lower bound of E.
(b) Suppose S is an ordered set, E ⊂ S, and E is bounded from below. A number α is called the greatest lower bound (or infimum) of E, denoted by α = glb E or inf E, if it satisfies the following conditions:
(i) α ≤ x for all x in E, i.e. α is a lower bound of E,
(ii) if α < γ then there exists an x ∈ E such that x < γ, i.e. γ is not a lower bound of E.
(c) An ordered set S is said to havethe greatest lower bound (glb) property if the following is true:
If E is a nonempty, bounded from below subset of S, then inf E exists in S, i.e. inf E ∈ S.
Theorem 1.11 If S is an ordered set with the lub property, then S is an ordered set with the glb property, i.e. if B is a nonempty, bounded from below subset of S, then inf B exists in S.
Since
(i) B is a nonempty, bounded from below subset of S =⇒ ∃ z ∈ S such that z ≤ x ∀ x ∈ B.
This implies that
L = {y ∈ S | y ≤ x, ∀ x ∈ B} = the set of lower bounds of B is a nonempty, bounded from above subset of S, ans since S has the lub property
α = sup L exists in S.
(ii) Note that
if γ < α = sup L =⇒ γ is not an upper bound of L
=⇒ ∃ y ∈ L s.t. γ < y ≤ x ∀x ∈ B
=⇒ γ < x ∀ x ∈ B
=⇒ γ /∈ B which implies that
if x ∈ B then α ≤ x, i.e. α is a lower bound of B.
Also note that
if α < γ =⇒ y ≤ sup L = α < γ ∀ y ∈ L
=⇒ γ /∈ L
=⇒ γ is not a lower bound of B This proves that α = inf B.
Definition An ordered field F is a field which is also an ordered set such that (i) if x, y, z ∈ F and y < z then x + y < x + z (ii) if x, y ∈ F, x > 0, y > 0 then xy > 0
Construction of R from cuts
(a) Definition A subset α of Q is called a cut if the following conditions hold:
(i) α 6= ∅ and α 6= Q. [=⇒ α is a nonempty, bounded above subset of Q.]
(ii) if p ∈ α, q ∈ Q, then q ∈ α. [ ⇐⇒ if p ∈ α and q /∈ α, then p < q. ⇐⇒ if r /∈ α and r < s then s /∈ α.]
(iii) if p ∈ α, then p < r for some r ∈ α. [=⇒ α has no largest element.]
(b) Notation The roman letters p, q, r . . . will denote rational numbers, and the greek letters α, β, γ, . . . will denote cuts.
(c) Definition Define α < β to mean: α ⊂ β, i.e. α is a proper subset of β.
(d) Definition Deinfe R = (R, <) = {α | α is a cut}.
Since
(i) for any α, β ∈ R, one and only one of the following relations holds:
α < β, α = β, β < α, (ii) if α < β and β < γ, then α < γ,
R is an ordered set.
(e) Proposition The ordered set R has the least-upper-bound property.
(f) Proposition R is an ordered field.
Remarks
(i) Define 0∗ = {p ∈ Q | p < 0}. It is clear that 0∗ ∈ R.
(ii) For any α, β ∈ R, define α + β by
α + β = {r + s | r ∈ α and s ∈ β}.
It is clear that the axioms for + (in Definition 1.12) hold in R, with 0∗ playing the role of 0.
Proof of (A5) Given α ∈ R, need to show that there exists β ∈ R such that {p ∈ Q | p < 0} = 0∗ = α + β = {r + s | r ∈ α and s ∈ β}
which implies that
if s ∈ β then r < −s for each r ∈ α =⇒ −s /∈ α.
Also since a cut does have the largest element, we define β = {p ∈ Q | ∃ r > 0 s.t. − p − r /∈ α}.
To show that 0∗ = α + β, we prove
∀ p ∈ β, ∃ s > 0 s.t. − p − s /∈ α
=⇒ −p /∈ α since − p > −p − s
=⇒ r < −p or r + p < 0 ∀ r ∈ α
=⇒ α + β ⊂ 0∗.
On the other hand, if v ∈ 0∗, then v < 0 and v ∈ Q. By setting w = −v
2 =⇒ w ∈ Q, w > 0 and either w ∈ α or w /∈ α So,
∃ n ∈ Z s.t. nw ∈ α and (n + 1)w /∈ α.
α
w nw (n + 1)w
α w
nw (n + 1)w
Put p = −(n + 2)w. Since (n + 1)w = (n + 2)w − w = −p − w ∈ α, we prove that p ∈ β and v = −2w = nw + p ∈ α + β =⇒0∗ ⊂ α + β.
(iii) For any α ∈ R, define −α to be the cut such that α + (−α) = 0∗. It follows that α > 0∗ if and only if −α < 0∗.
(iv) Let R+ = {α ∈ R | α > 0∗}. If α, β ∈ R+, we define αβ by
αβ = {p | p ≤ rs for some choice of r ∈ α, s ∈ β, r > 0, s > 0},
and define 1∗ = {p ∈ Q | p < 1}. Then the axioms (M ) and (D) of Definition 1.12 hold, with R+ in place of F , and with 1∗ in the role of 1.
(v) On R, define the multiplication by setting
α0∗ = 0∗α = 0∗, and by setting
αβ =
(−α)(−β) if α < 0∗, β < 0∗,
−[(−α)β] if α < 0∗, β > 0∗,
−[α · (−β)] if α > 0∗, β < 0∗, (g) Proposition Q is isomorphic to a subfield of R.
Observe that
(i) for each r ∈ Q, letting r∗ = {p ∈ Q | p < r}, then r∗ ∈ R, i.e. r∗ is a cut.
(ii) if Q∗ = {r∗ | r ∈ Q}, then Q∗ is a subfield of R and Q∗ is isomorphic to Q.
Theorem 1.20
(a) [Archimedean Property of R] If x, y ∈ R and x > 0, then there is a positive integer n such that
nx > y.
(b) [Q is dense in R] If x, y ∈ R and x < y, then there exists a p = m
n ∈ Q, n ∈ N, such that x < p < y ⇐⇒ x < m
n < y ⇐⇒ nx < m < ny.
Remarks
(a) This implies that the set of real numbers R can be defined as R = {r | ∃ {pn} ⊂ Q s.t. limn→∞pn= r}.
(b) For each x ∈ R and x > 0. Let
n0 = the largest integer s.t. n0 ≤ x
n1 = the largest integer s.t. n1 ≤ 10(x − n0)
· · · ·
nk = the largest integer s.t. nk ≤ 10k(x − n0− n1
10− · · · − nk−1 10k−1)
· · · ·
and let
E = {n0+ n1
10+ · · · + nk
10k | k = 0, 1, 2, . . .}.
Then E ⊂ Q, x = sup E and the decimal expansion of x is n0.n1n2n3· · · .
Conversely, for any infinite decimal n0.n1n2n3· · · , 0 ≤ nj ≤ 9 for all j ≥ 1, the set
E = {
k
X
j=0
nj
10j | k = 0, 1, 2, . . .} is bounded above and n0.n1n2n3· · · ∈ R is the decimal expansion of sup E.
Theorem 1.21 For every real x > 0 and every integer n > 0, there is one and only one real y such that
yn= x, where y is called the nth root of x and is written √n
x or x1/n. Outline of the proof
Let
E = {t ∈ R | t > 0 and tn < x}.
Show that
y = sup E exists, yn= x and y is unique.
Observe that 1 + x /∈ E =⇒ E is bounded above.
0 x 1 + x
Suppose that yn 6= x, find 0 < h < 1, 0 < k < 1 such that
0 yn (y + h)n x
0 x (y − k)n yn
Construction of R from Cauchy sequences
(a) Denition The (archimedean) absolute value of Q is the function Q → Q+∪ {0}
|x| =
(x if x ≥ 0
−x if x < 0.
(b) Denition A Cauchy sequence(of rational numbers) is a sequence {xn} such that for every
∈ Q+ there exists N ∈ N such that |xm− xn| < for all m, n ≥ N. (i) Lemma Every Cauchy sequence {xn} is bounded.
(ii) Lemma If {xn} and {yn} are Cauchy sequences, so are {xn+ yn} and {xnyn}.
(c) Definition A Cauchy sequence {xn} is equivalent to zero if lim
n→∞|xn| = 0. Two Cauchy seuqences {xn} and {yn} are equivalent if their difference {xn− yn} is equivalent to zero.
We can add/multiply equivalence classes of Cauchy sequences by adding/multiplying rep- resentatives (because {xn} ∼ 0 implies {xn} + {yn} ∼ {yn} and {xn}{yn} ∼ 0).
Notation The equivalence class of {xn} is denoted by [{xn}].
(i) Lemma Every nonzero equivalence class of Cauchy sequences has a multiplicative in- verse.
(ii) Corollary The set of equivalence classes of Cauchy sequences forms a field.
(d) Definition Let R = (R, | |) = {[{xn}] | {xn} is a Cauchy sequence in Q}, the field of equivalence classes of Cauchy sequences. We embed Q in R via the map
x 7→ [x] = [{x, x, x, . . .}] = [{xn | xn= x ∀ n = 1, 2, . . .}], which is injective because lim
n→∞|xn− yn| = |x − y| 6= 0 unless x = y (here we use |x| = 0 ⇐⇒
x = 0). We extend the absolute value of Q to R via
|[{xn}]| := [{|xn|}] and in particular |[x]| := [{x, x, x, . . .}] = |x| ∀ x ∈ Q.
We then have R+ = {x 6= 0 ∈ R | |x| = x} containing Q+ and R = R+∪ {0} ∪ R+. Thus R is an ordered field whose order extends that of Q.
(i) Lemma A Cauchy sequence {xn} of rational numbers converges to [{xn}].
(ii) Corollary Every Cauchy sequence of real numbers converges to a real number. Equiv- alently, R is complete.
(e) Theorem (R, <) has the lub property iff every Cauchy sequence {[xn]} ⊂ (R, | |) converges to a point in R.
Proof.
=⇒ Given > 0, since {[xn]} = {[{xkn | k ∈ N}]} is a Cauchy squence in R, there exists K ∈ N such that
if n, n0 ≥ K then |[xn] − [xn0]| <
2 =⇒ ∃ L ∈ N such that if k ≥ L then |xkn− xkn0| < 2. For each n ∈ N, since {xkn| k ∈ N} is a (rational) Cauchy sequence, there exists lnsuch that
if k, k0 ≥ ln then |xkn− xkn0| < 1 n.
Without loss of generality, we can assume that the sequence (ln) is strictly increasing, as each ln can be chosen arbitrarily large. Now construct a new sequence in Q by
{bn} := {xlnn}.
Then b := [{bn}] is a real number and the limit of {[xn]}.
Choose a natural number K ≥ max{K, L,2
}. Then for all k > k0 ≥ K,
|bk− bk0| = |xlkk− xlkk00|
≤ |xlkk− xlkk0| + |xlkk0 − xlkk00|
< 2+ 1
k0 since lk > lk0 ≥ k0 ≥ K
< 2+ 1
k since k > k0
≤ 2+ 1
K since k ≥ K
< 2+
2 since K ≥ 2
This shows that {bn} is a Cauchy sequence.
Fix n ∈ N, since
∀ k ≥ ln=⇒ |xkn− bn| = |xkn− xlnn| < 1 n, we obtain
|[xn] − b| = [{|xkn− xlnn|}] < 1 n.
Letting n → ∞, we obtain {[xn] − b} is a zero sequence in R. Hence
n→∞lim[{xn}] = b.
⇐= Let S be a nonempty, bounded from above subset of R. Choose a sufficiently large M > 0 such that
M is an upper bound of S and [−M, M ] ∩ S 6= ∅.
Let I1 = [−M, M ]. Divide I1 into 2 equal length subintervals and let I2 be the closed subinterval such that
the right endpoint of I2 is an upper bound of S and I2∩ S 6= ∅.
Continuing this process, we obtain a sequence of closed intervals {In} such that the right endpoint of In is an upper bound of S, In∩ S 6= ∅ ∀ n ≥ 1.
and
I1 ⊃ I2 ⊃ · · · ⊃ In⊃ · · · ; lim
n→∞|In| = lim
n→∞
M 2n−2 = 0, For each n ∈ N, since In∩ S 6= ∅, let xn be a point in In∩ S.
Since lim
n→∞|In| = lim
n→∞
M
2n−2 = 0, {xn} is a Cauchy sequence and hence it converges to a point, say x, in R.
To show that x = lub S, we need to show that
(i) x ≥ s for all s in S, i.e. x is an upper bound of S.
(ii) if u is another upper bound of S then u ≥ x.
Proof of (i): Suppose that x is not an upper bound of S, i.e. suppose that there exists s ∈ S such that s > x. Let = s − x. Since lim
n→∞xn = x, xn ∈ In and |In| = M
2n−2, there exists K ∈ N such that
if n ≥ K then |In| = M 2n−2 <
2 and |xn− x| < 2. This implies that
xn−
2 ≤ y ≤ xn+
2 for all y ∈ In∩ S ⇐⇒ In ⊂ (xn−
2, xn+ 2), x −
2 < xn< x +
2 ⇐⇒ xn∈ (x −
2, x +
2) for all n ≥ K.
Combining these, we get
x − < y < x + = s for all y ∈ In∩ S ⇐⇒ In ⊂ (x − , x + ) = (x − , s)
xn+ 2 xn
xn− 2
x x + 2
x − 2 x + = s
x − y
which implies that the right endpoint of In is smaller than s ∈ S. This contradicts to the definition of In. Hence, x is an upper bound of S.
Proof of (ii): Let u be another upper bound of S. Suppose that u < x, then = x − u 2 > 0.
Since lim
n→∞xn= x, there exists K ∈ N such that if n ≥ K then |xn− x| < .
Thus
= x − u
2 =⇒u = x − 2,
x − < xn< x + ⇐⇒ xn∈ (x − , x + ) for all n ≥ K.
This implies that
u = x − 2 <x − <xn< x + for all xn∈ S ∩ In, n ≥ K=⇒ u < xn∈ S
x + x
xn
xn− 2 xn+ 2 x −
u = x − 2
which contradicts to the assumption that u being an upper bound of S.
Hence u ≥ x.