Checklist Flashcards

1
Q

The completeness axiom

A

Every set S of real numbers which is bounded above has a supremum B, there exists a real number B s.t sub S = B

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2
Q

Epsolin-Delta definition

A

For every Epsilon>0 there exists a Delta>0 such that …
If you can keep making N(f(p)) and N(p) smaler
See image on page 128

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3
Q

Definition of continuity of a function at a point (Epsilon-Delta)

A

lim f(x) = f(x) at any x
There is also always an epsilon for every delta which satisfies the condition of the epsilon-delta definition

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4
Q

Intermediate value theorem for continuous functions

A

First imagine figure 3.8, with f(x)=k

g(x1)=f(x)-k<0 and g(x2)=f(x)-k>0
Applying bolzanos, we see that g(c)=0 at some point on the intarval [x1,x2].

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5
Q

Extreme value theorem for continious functions

A

Assume f is continious on a closed intaval [a,b], then we will have a maximum and a minimum in that intaval meaning there wil be some numbers c and d such that
f(c)=sup f and f(d)=inf f

a and b might be the inf and sup, if fx. the graph was a linear function

If (a,b) then there is no specific max or minimum values, it will have sup and inf though

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6
Q

Epsilon - Delta definition of uniform continuity

A

Use |f(x1) - f(x2)|<Epsilon to make |x1-x2|<Delta appeare. See easy example in “Prove Uniformly Continuous”

There is also another way to prove it, see Trench

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7
Q

Continuity on a closed bounded interval implies uniform continuity

A

Conceptually: if a set is closed and bounded, then there will always be a delta wich can contain a given epsilon.

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8
Q

Bounded derivative and uniform continuity

A

If f has a dirivative smaler than a given K>0 then the function is continious
|f’(x)|< K (bigger than or equal to)

Proof by mean value theorem

f(b) - f(a) = f’(c) (b-a)

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9
Q

Definition of differentiability at a point

A

h’erne går ud med hinanden i gymformlen

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10
Q

Differentiability implies continuity

A

Remember easy example from book (page 163 - example 7) where we use the identity (gymformel)
f(x+h) = f(x) + h(gymformel)

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11
Q

Mean value theorem for derivatives

A

The tangent at a given point and the secant between the two endpoints, will at some point be parallel on the graph. Given the Intaval is closed and f is continious.

Use Rolle’s theorem (wiki) on
f(b) - f(a) = f’(c)(b-a)

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12
Q

Definition of a (infinite) sequence (Turing Machine)

A

A function f with a domain spanining all the positive intergeres, it has a clear starting point, and no specific last term, f(n) is the n’th term of the function.

Turring machine.

Arithmetic infinite sequence - same intaval
Geometric - common ratio, fx multiply by 2

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13
Q

Epsilon - N definition of convergence of a sequence

A

There exists an epsilon and N so that for every |f(n)-L|<Epsilon>N</Epsilon>

After the N’th value on the x axis, the function can no longer leave the restrictic Epsilon area

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14
Q

Definition of a (infinite) series

A

See book, very simple, just adding a_n…..

s_1=a_1 s_2=a_1+a_2 and so on

Ad from series, remember the adding together to give 1/2

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15
Q

Definition of convergence of a series

A

Epsilon - N definition. Imagine the Epsilon band in which the function has to be after the N’th value

A series is the sum of the terms of an infinite sequence of numbers.

If we get closer and closer to a given number

If there exists a number n>N such that |f(n)-L|<Epsilon (L is the sum of all sequences)

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16
Q

Necessary condition for convergence of a series

A

There are a few tests that can be divided into three main groups 1- “Sufficient Condition” 2-“Necessary Conditions” and “ 3- “Sufficient and Necessary Conditions”

17
Q

The harmonic series

A

Diverges

The divergenstest is inconclusive, so we have to use another test (for 1/n fx.) Therefor we use the integral test, integrate 1/n from 1 to a, and then insert infinity when done

Stable bøger

Example
Sigma n=1 goes to infinity of 1/n

18
Q

Absolute convergense implies convergence

A

If a sequence converges, then the absolute value of that sequence also converges

19
Q

Leibniz rule (alternating series test)

A

If it goes plus minus plus minus and so on, then use The Alternating Series Test to se if it diverges or converges

Intuition: you go forward, and then a little back again and so on, you check for convergens. The positive go forward and negative go backwards

a_n has to be decreasing
a_n has to be positive
lim a_n = 0

If all these are true, then convergens

https://www.youtube.com/watch?v=-lD0skTnqFo