0% found this document useful (0 votes)
80 views38 pages

Least Upper Bounds: Where We Prove Theorems 1 and 2 From The Last Chapter

The document discusses definitions and properties related to real analysis, including: (1) It defines least upper bounds and greatest lower bounds of sets of real numbers. (2) It proves that if a function f is continuous on an interval [a,b], then f is bounded on [a,b]. (3) It proves that if a function f is continuous on [a,b], then f is uniformly continuous on [a,b]. Uniform continuity measures how quickly a function can change locally.

Uploaded by

Raheel Zia
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
80 views38 pages

Least Upper Bounds: Where We Prove Theorems 1 and 2 From The Last Chapter

The document discusses definitions and properties related to real analysis, including: (1) It defines least upper bounds and greatest lower bounds of sets of real numbers. (2) It proves that if a function f is continuous on an interval [a,b], then f is bounded on [a,b]. (3) It proves that if a function f is continuous on [a,b], then f is uniformly continuous on [a,b]. Uniform continuity measures how quickly a function can change locally.

Uploaded by

Raheel Zia
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 38

Least Upper Bounds

where we prove Theorems 1 and 2


from the last chapter.
Definitions
A set A of real numbers is bounded above, if
there exists a number x, such that x  a, for all
aA.
x is an upper bound for A.
x is a least upper bound, supremum, sup(A) for
A, if
(i) x is an upper bound for A, and
(ii) if y is an upper bound for A, then x  y.
Similarly, z = inf A = infimum of A
= greatest lower bound of A

Note: neither the supremum nor the infimum


have to be in A.
Exercise
Find the least upper bound u of A = [0,1) ∩ ℚ
in ℝ.
Is u in A?
Exercise
Find the least upper bound u of A = [0,1) ∩ ℚ
in ℚ.
Exercise
Consider the sequence defined recursively by

x1 = 2
xn+1 = 2 + xn

Show, by induction that xn < 2, for all n.


Exercise
Consider the sequence defined recursively by

x1 = 2
xn+1 = 2 + xn

Show, by induction that xn < xn+1, for all n.


Note:
Example of a set that is bounded above but
doesn’t have a least upper bound: Ø, the
empty set.
Any real number is an upper bound.
The Least Upper bound Property of
Real Numbers
If A is a set of real numbers, A ≠ Ø, and A
bounded above, then A has a least upper
bound.
Note:
As we have seen, ℚ does not have the least
upper bound property.
Exercise
Suppose A, B are nonempty sets of real
numbers, such that a  b, for all aA, bB.
(i) Prove sup A  b for all bB.
(ii) Prove sup A  inf B.
Proof of Theorem 7.1
If f is continuous on [a,b] and f(a) < 0 < f(b),
then there is an x in (a,b) such that f(x) = 0.

Proof idea:
find the smallest x[a,b], such that f(x) = 0.
Question
In the proof of Theorem 7.1, we showed that
there exists a smallest x in (a,b) with f(x) = 0.

Is there necessarily a second smallest x in (a,b)


with f(x) = 0?
Exercise
Show that there is a largest x in (a,b) with
f(x) = 0.
Exercise
Given f continuous, nonnegative on [a,b],
f(a) = f(b) = 0 and there exists an x0, such that
f(x0) > 0.
Then there exist c, d, such that
a  c < x0 < d  b and
f(c) = f(d) = 0 and for all x in (c,d): f(x) > 0.
Theorem 8.1
If f is continuous at a, then there exists >0
such that f is bounded above on (a-, a+).

Proof: this follows from the continuity of f at a.


Try it.
Similarly:
• f bounded below on a suitable (a-, a+).
• f bounded above and below if a is the
endpoint of a closed interval and f
continuous at a.
Theorem 8.2
Archimedian Property
ℕ is not bounded above.

Proof: (by contradiction)


Theorem 8.2
Archimedian Property
ℕ is not bounded above.

Proof: (by contradiction) Suppose not.


Since ℕ is not empty and bounded above, there is
a least upper bound .
So   n, for all nℕ, in particular
  n+1. (n+1ℕ, if nℕ)
Thus, -1  n, for all nℕ and  is not a least
upper bound. Contradiction
Corollary
For every ε>0, there exists an nℕ, such that
1
< ε.
𝑛

Proof: by contradiction.
Try it.

We have actually used this many times before,


when dealing with limits.
Definition
A set of real numbers A is dense, if every open
interval contains an element of A.
Exercise
ℚ is dense in ℝ.

Proof: Consider the open interval (x,y), x < y.


Need to show that there exists qℚ, such that
x < q < y.
Try it.
Nested Interval Theorem
Consider a sequence of closed intervals
I1=[a1,b1], I2=[a2,b2],…, where
a1 … an  … bm … b1.
Prove that there is a point x which is in every In.

Also show that this conclusion is false for open


intervals.
Exercise
Suppose f is continuous on [a,b], then either
𝑎+𝑏
• 𝑓 =0
2
𝑎+𝑏
• 𝑓 𝑎 <0<𝑓 ∗
2
𝑎+𝑏
• f < 0 < 𝑓(𝑏)
2
Suppose (*). Apply the same argument to
𝑎+𝑏
[a, ].
2
Claim: This process will lead to x[a,b] such that f(x)=0.
Definition
The point x is an accumulation point of the set
A, if for any open set O containing x, there are
infinitely many points from A in O.

x doesn’t have to be in A.
Exercises
Show: Every point in [0,1] is an accumulation
point.

Show: No point at all is an accumulation point of


the set of natural numbers ℕ.

Show: every point on the real line, both rational


and irrational, is an accumulation point of the
set ℚ.
Exercise (additional)
Show: very point of a closed interval [a, b] is an
accumulation point of (a, b). No point outside
can be.
Definitons
Suppose A is a set of real numbers.
The limit superior = lim A = largest
accumulation point of A.
The limit inferior = lim A = smallest
accumulation point of A.
Execises
Find the limits superior and inferior, minima,
maxima, if they exist, of:
1
1. 𝐴 = 𝑛
𝑛 ∈ ℕ}
2. 𝐴 = 𝑥 0  𝑥  2, 𝑥 rational}
1
3. 𝐴 = 𝑛
+ −1 𝑛 𝑛 ∈ ℕ}
Uniform continuity
this measures how much a function oscillates
i.e. how fast a function grows locally (ultimately
its slope).
Example
f(x) = x2 is continuous, i.e it is continuous at each 𝑎 :
𝑎 ∈ ℝ, ε > 0,  δ𝑎ε > 0,
such that 𝑥 satisfying 𝑥 − 𝑎 < δ𝑎ε
|f(x) − f(𝑎)|< ε

here the δ depends on 𝑎 and on ε.

Draw picture.
We aim for a function where the δ depends only on
on ε, and not on 𝑎.
Definition
f is uniformly continuous on an interval I, if for
every ε > 0, there is a δε > 0,
such that for all x,y ∈ I, if |x − y| < δ, then
|f(x) – f(y)| < ε.
Are they uniformly continuous?
1
1. f(x) = on (0,1)
𝑥
1 1
2. f(x) = on ( ,1)
𝑥 𝑛
3. f(x) = sin x on ℝ
4. f(x) = x3 on [-100,100]
5. f(x) = x
6. f(x) = ex
7. f(x) = e-x on ℝ+
Lemma
If f is uniformly continuous on [a,b] and on
[b,c], then f is uniformly continuous on [a,c].

Technically:
Lemma
Let a < b < c and f continuous on [a,c].
Let ε > 0 and suppose
(i) δ1 such that if 𝑥, 𝑦 ∈ 𝑎, 𝑏 and
𝑥 − 𝑦 < δ1, then |f(x) – f(y)| < ε
(ii) δ2 such that if 𝑥, 𝑦 ∈ 𝑏, 𝑐 and
𝑥 − 𝑦 < δ2, then |f(x) – f(y)| < ε
then
δ > 0 such that if 𝑥, 𝑦 ∈ 𝑎, 𝑐 and
𝑥 − 𝑦 < δ, then |f(x) – f(y)| < ε.
Theorem 8.3
If f is continuous on [a,b], then f is uniformly
continuous on [a,b].
Theorem 7.2
If f is continuous on [a,b], then f is bounded on [a,b].

Proof: Take ε = 1, then there exists a δ>0, such that for


any x, y satisfying |x – y|< δ, then
|f(x) – f(y)|<1. Cover [a,b] with overlapping
subintervals
δ 3δ (2n+1)δ
[a, a + δ), (a + , a+ ), … ,(a+ , b]
2 2 2
There are n such intervals. Over each of them f varies by
at most 1, so altogether |f(x) – f(y)|< n
for any x, y in [a,b].
Theorem 7.3
If f is continuous on [a,b], then there are
numbers y, z [a,b] such that
for all x  [a,b]: 𝑓(𝑥) ≤ 𝑓(𝑦) and
for all x  [a,b]: 𝑓(𝑥) ≥ 𝑓(𝑧)

Proof: see text

You might also like