Chapter 4 Flashcards

1
Q

Definition: continuous at a point a in D_f, if

A

We say that a function f:R->R is continuous at a point a in D_f is limit as x tends to a of f(x) exists and equals f(a). We say that f is continuous on a set S subset of D_f if it is continuous at every point of S.

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2
Q

Theorem 4.1.1: for a function continuous, Sequence and epsilon-delta criterion

A

For a function f:R->R having domain D_f, the following statements are equivalent.

1) f is continuous at a in D_f

2) Given ant sequence (x_n) with x_n in D_f for all n in the naturals, such that
limit as n tends to infinity of x_n =a, we have that
limit as n tends to infinity of f(x_n) =f(a)

3) Given any ε>0 there exists δ> 0 such that whenever x∈D_f with 0 less than |x-a| < δ, we have | f(x) -f(a)| less than epsilon

Or
Given any epsilon , there exists δ>0 such that whenever x∈D_f with x∈(a-δ, a+δ) we have f(x)∈ (f(a)-ε,f(a)+ ε)

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3
Q

An open neighbourhood of a in the reals

A

Is the open interval (a-δ, a+δ)

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4
Q

Theorem 4.1.2 the algebra of limits revisited (continuity)

A

Suppose that f,g:R->R are both continuous at a∈D_f ∩ D_g. The following functions are also continuous at a:

a) f+g
b) fg
c) αf, for all α∈R
d) f/g, provided g(a) ≠ 0

Proof: direct consequence if thm 3.2.1

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5
Q

Theorem 4.1.3 for composition of continuous functions

A

Let f and g be functions from R to R. If g is continuous at a, g(a)∈D_f, and f is continuous at g(a), then f •g is continuous at a.
(Composite)

Proof:problem 57z

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6
Q

Theorem 4.3.1 the intermediate value theorem

A

Let f be continuous on [a,b] with f(a) bigger than and
f(b) less than 0,
Or f(a) less than 0 and f(b) bigger than 0.

Then there exists c∈(a,b) such that f(c) =0

Proof:
Case: f(a) bigger than 0, f(b) less than 0
Long proof

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7
Q

Corollary of the intermediate value theorem

Showing all values are attained in image

A

Let f be continuous on [a,b] with f(a) < f(b). Then for each γ∈ (f(a), f(b)) there exists c∈(a,b) with f(c) = γ

Proof: problem 66

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8
Q

2nd Corollary of the intermediate value theorem

A

Every polynomial of odd degree has at least one real root

Proof: writing ( with a_m bigger than 0, case less than 0 similar)

p(x) = a_m x^m + a_(m-1) x^(m-1) +…+ a₁x +a₀
= x^m( a_m + (a_(m-1) / x ) +…+ (a₁/(x^(m-1))+ a₀/x^m).

Then as shown in probes 54….

We show the limit of p(x) as x tends to infinity an as x tends to neg infinity are infinity and neg infinity do there exist a and b are between these (by the definition of divergence) such that p(a) is less than 0 and p(b) is bigger than 0. As p is continuous on the interval by the IVT there exists our c st p(c) =0z

DOESNT WORK FOR EVEN DEGREE POLYNOMIAL

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9
Q

Theorem 4.3.4 the boundedness

A

If f is continuous on [a,b] then it is bounded on [a,b] and it attains both of its bounds there.

Proof: long but using contradiction to show f is bounded, sequence and infimum along with Bolzano-weirstrass theorem etc

• 1/x us continuous on interval (0,1) but not bounded as divergent at 0
•x is bounded on (0,1) but doesn’t attain its bounds
HENCE BOUNDEDNESS USES CLOSED INTERVALS
Eg nothing about functions on R

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10
Q

Corollary 4.3.5 of bounded was, continuous functions and images

A

If f:R->R is continuous and non constant in [a,b] subset of D_f,
Then there exists m less than M st

f([a,b]) = [m,M]

(Image is also bounded on Interval)
This tells us that the image of the interval [a,b] under the continuous functions contains the interval [f(a), f(b)] which is a subset of f([a,b)].

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11
Q

Prop 4.3.6: mapping inverses

A

The mapping f:A->B is invertible if and only if it is bijective.

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12
Q

Theorem 4.3.7 the inverse function theorem

A

If f:R->R is continuous and strictly increasing (or strictly decreasing) on [a,b] then f is invertirle and
f^(-1) is strictly increasing on [f(a),f(b)] ( strictly decreasing on [f(b), f(a)] and continuous on (f(a),f(b)) (respectively, on (f(b), f(a)))

Proof:long
Using corollary of bounded image and showing injective and surjective

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13
Q

Discontinuity

A

A function f:R->R is said to have a discontinuity at a ∈D_f if it fails to be continuous there. Ie f is discontinuous at a.

Eg indicator function 1_[a,b] is discontinuous at a and at b but is continuous on R{a,b}. To show that a function is discontinuous at a it is sufficient to find a sequence (x_n) in D_f{a} st limit as n tends to infinity of x_n =a, but limit as n tends to infinity of f(x_n) is NOT equal to f(a).

Investigate discontinuity by using left and right limits

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14
Q

Theorem 4.2.1 continuous and left right limits

A

A function f:R-> R is continuous at a ∈D_f

If and only if
It is both right and left continuous there.

Proof: direct consequence of theorem 3.3.2

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15
Q

Jump discontinuity

A

If f is discontinuous at a but both limits:

Limit if x increasing to a of f(x)
And
Limit of x decreasing to a of f(x) exist

(Real numbers)
And are unequal we say that f has a jump discontinuity at a.

In this case the jump at a is defined as

J_f (a) =limit_ (x↓a) of f(x) - limit_(x↑a) of f(x)

Eg indicator function has J_f (a)=1 and J_f (b) =1

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16
Q

Continuity examples- continuous function

A

Fix c in reals then constant function f(x) =c is continuous on R.

To see this let a in R be arbitrary and let (x_n) be any sequence converging to a. Then f(x_n) =c for all n in the naturals and so the sequence (f(x_n)) clearly converges to c=f(a).

The linear function f(x)=x is also continuous on R. Again given any sequence (x_n) converging to a, f(x_n) =x_n for all n in N . And so the sequence (f(x_n)) clearly converges to f(a) =a.

17
Q

Examples and the algebra of limits revisited (continuity)

A

Using the algebra of limits repeatedly we can show f(x) =x^n is continuous on R for all N.
Etc for polynomials continuous on R

Etc for rational functions

18
Q

Examples- composite functions continuity

A

We can use theorem for the composite of two continuous functions being continuous for continuity of functions such as f(x) = sin( (2x-1)/(x^2 +1))

Eg g(x)= xsin(1/x) with domain R\{0} by the theorems algebra of limits and composition g is continuous at every point in the domain.
If we define a new function such that it's an extension that is continuous on the whole of R we can use the function is 0 if x=0
19
Q

Define: given two functions from R to R an extension of the other

A

f_2 is an extension of f_1 ( f_1 is a restriction of f_2) if

D_f_1 is a subset of D_f_2
And
f_1(x) =f_2(x) for all x in the domain of f_1

If f_1 is continuous on D_f_1 and f_2 is continuous on D_f_2 we say that f_2 is a continuous extension of f_1

We can find a continuous extension if the limit exists o/w no continuous extensions of function to R.

20
Q

Eg indicator function

Eg dirichlets function

A

Right/left continuous?

The function 1_Q is discontinuous at every point in R. Then f(x) = if x is rational and 0 if irrational.

F is discontinuous at every point a in Q.
We see this by considering sequence whose nth term is a+ 1/n. By theorem 1./2 we can find irrational b_n a less than b_n less than a+1/n for all n I. The naturals.

By the sandwich rule the limit as n tends to i finity of b_n is a. But the limit as n tends to infinity of f(b_n) is equal to 0 which isn’t equal to f(a), which is 1.
Suppose that a is irrational then a +1/n is irrational and by theorem 1.4.5 there exists a rational number c_n so that a< c_n < a+1/n for all n in the naturals. Then by the sandwich rule limit of c_n is a but limit as n tends infinity of f(c_n) =1 NOT 0=f(a) as a is irrational.

21
Q

Example: let f(x) =x^n for n in N.

Inverses…

A

We can prove that f is strictly increasing on every [a,b] subset of [0, infinity ). f is continuous and hence the inverse exists by the theorem and is continuous and strictly monotone increasing on (a^n, b^n)

And hence on any finite interval.
Then the maximal Domain of f-1 is 0 to infinity and it’s continuous on that interval ( right continuous on 0)

So f-1 = x^1/n and we have proven the existence of the positive roots of real

22
Q

Surjective objective bijective

For arbitrary sets A and B st f: A to B mapping with D_f =A

A
  • surjective if R_f =B ( for all y in B there exists an x in A st f(x) =y
  • injective if f(x₁) = f(x₂) implies x₁ = x₂ (for x_1 and x_2 in A)

•bijective if both, that is each b is mapped to uniquely by an a in A

23
Q

Invertíble mapping

A

If there exists a mapping f^-1 :B to A with D _f-1 =B, the inverse of f

For which

f^-1(f(x) =x for all x in A and
f(f^-1(x)) =y for all y in B

24
Q

Monotone vs strictly
Increasing decreasing

FUNCTIONS

A

if for x,y in D_f with x less than y we have:
• f(x) ≤ f(y) monotonic increasing
•f(y) ≤ f(x) monotoníc decreasing

Strictly decreasing or increasing if no equality
Eg f(x) = 1/x is strictly decreasing on R\{0}

We consider the invertibility of monotone functions that are continuous on closed intervals

25
Q

Extension of inverse function theorem

A

f-1 is right continuous at f(a) and left continuous at f(b)

26
Q

Example: inverse function theorem and f(x) =e^x

A

We prove monotonic increasing and we deduce that inverse is continuous and monotonic increasing on R.

Showing us every positive real number has a natural logarithm.