若需要让像任意近,只需要让原像足够近
Definition of Limits
Limits of Sequence
n→∞limxn=A
is saying:
∀ϵ>0,∃N>0,∀n>N,∣xn−A∣≤ϵ
Limits of function
the limit of f of x as x approaches c
x→alimf(x)=A
it means that the value of the function f can be made arbitrary close to L by choosing x close to c
∀ϵ>0,∃δ>0,∀x∈{x:0<∣x−a∣<δ},∣f(x)−A∣<ϵ
x→∞limf(x)=A
is saying:
∀ϵ>0,∃x0>0,∀x>x0,∣f(x)−A∣<ϵ
Heine’s Theorem
人话:所有路径都收敛于一个值,那么就在该区域无死角收敛了。
证明:
- 如果函数收敛,自然每一条路径都收敛
- 如果函数不收敛,那么能够构造不收敛的坏数列
Sign-Preserving Property
If a function f has a limit A on a , then there’s a punctured neighborhood Ia of a, one that set, f keeps the same sign with the limit A
Suppose limx→af(x)=A>0
Set ϵ=2A, then ∃δ>0, ∀x∈(a−δ,a)∪(a,a+δ), ∣f(x)−A∣<ϵ=2A⟹f(x)>2A>0
So as when limx→af(x)=A<0
Squeeze Theorem
if g(x)≤f(x)≤h(x), and g(x) and h(x) has same limitation A on a, then f(x) also has limitation A on a
⟹⟹⟹⟹⟹x→alimg(x)=x→alimh(x)=A∀ϵ>0,∃δ1,δ2>0,δ=min(δ1,δ2),∀x∈(a−δ,a)∪(a,a+δ),∣g(x)−A∣<ϵ,∣h(x)−A∣<ϵA−ϵ<g(x)<A+ϵ,A−ϵ<h(x)<A+ϵA−ϵ<g(x)≤f(x)≤h(x)<A+ϵ∣f(x)−A∣<ϵx→alimf(x)=A
Order Property of Limits
If f(x)≤g(x), and limx→af(x)=A,limx→ag(x)=B, then A≤B
if A>B, then for ϵ=2A−B, ∃δ1,δ2>0,δ=min(δ1,δ2),∀x∈(a−δ,a)∪(a,a+δ):
⟹⟹∣f(x)−A∣<2A−B,∣g(x)−B∣<2A−Bf(x)>2A+B,g(x)<2A+Bg(x)<f(x)
which contradicts with f(x)≤g(x). So A≤B
Local Boundness
If limx→af(x)=A, f(x) is bounded in some punctured neighborhood of a
Rules with Real Number Operations
x→alimf(x)=A,x→alimg(x)=B
Constant Rule
swappable to scalar product
x→alimkf(x)=kx→alimf(x)
Proof
with δ, ∣f(x)−L∣≤∣k∣ϵ, thus:
∣kf(x)−kL∣=∣k∣∣f(x)−L∣≤ϵ
Sum Rule
distributive to function addition
x→alim[f(x)+g(x)]=x→alimf(x)+x→alimg(x)
Proof: (triangular Inequality)
with δ1, ∣f(x)−L∣≤2ϵ
with δ2, ∣g(x)−M∣≤2ϵ
Thus
∣f(x)+g(x)−(L+M)∣≤≤∣f(x)−L∣+∣g(x)−M∣2ϵ+2ϵ=ϵ
x→alim[f(x)+g(x)]=x→alimf(x)+x→alimg(x)
Product Rule
distributive to function product
x→alim[f(x)g(x)]=x→alimf(x)x→alimg(x)
Proof:
- involve a trick of constructing ∣f(x)−L∣ and ∣g(x)−M∣
- be aware that f(x) is locally bounded due to the Local Boundness
∀ϵ>0:
- with δ1, ∣f(x)−L∣<2(∣M∣+1)ϵ, thus ∣f(x)∣<∣f(x)−L∣+∣L∣<2(∣M∣+1)ϵ+∣L∣=K
- with δ2,∣g(x)−M∣<2Kϵ,
so, with δ=min(δ1,δ2),
∣f(x)g(x)−ML∣=∣f(x)g(x)−Mf(x)+Mf(x)−ML∣≤∣f(x)∣∣g(x)−M∣+∣M∣∣f(x)−L∣≤K2Kϵ+∣M∣2(∣M∣+1)ϵ≤ϵ
Quotient Rule
distributive to function devision
x→alimg(x)f(x)=limx→ag(x)limx→af(x)
Proof
key steps:
step1: Proof limx→ag(x)1=B1
g(x)1−B1=Bg(x)B−g(x)=∣B∣∣g(x)∣∣B−g(x)∣
step2: use distributive to function product:
x→alimg(x)f(x)=x→alimf(x)g(x)1=BA
Detail Proof
This proof is divided into two steps:
- proof limx→ag(x)1=M1 and reverse triangular inequality
- product rule
with δ1, ∣g(x)−M∣≤2∣M∣, which saids:
∣∣g(x)∣−∣M∣∣≤∣g(x)−M∣≤2∣M∣−2∣M∣≤∣g(x)∣−∣M∣≤2∣M∣2∣M∣≤∣g(x)∣≤23∣M∣
with δ2, ∣g(x)−M∣≤2∣M∣2ϵ
Thus:
g(x)1−M1=Mg(x)M−g(x)=∣M∣∣g(x)∣∣g(x)−M∣≤ϵ
Thus:
x→climg(x)1=M1
applying the product rule:
x→climg(x)f(x)=x→climf(x)x→climg(x)1=ML
Composition Rule
if f is continuous, then
x→x0limf(g(x))=f(x→x0limg(x)))
∀x∈U˙(x0,δx),u=g(x)∈U(u0,δu)∀u∈U˙(u0,δu),y=f(x)∈U(y0,ϵ)f(u0)= the limity0⟹∀x∈U˙(x0,δx),y=f(x)∈U(y0,ϵ)