Differentiation
Derivative
f′(x0)=Δx→0limΔxΔy=Δx→0limΔxf(x0+Δx)−f(x0)
f−′(x0)=Δx→0−limΔxf(x0+Δx)−f(x0)=x→x0−limx−x0f(x)−f(x0)
f+′(x0)=Δx→0+limΔxf(x0+Δx)−f(x0)=x→x0+limx−x0f(x)−f(x0)
f′(x0) exists⟺f−′(x)=f+′(x)
Algorithms
[f(x)±g(x)]′=f′(x)±g′(x)
[f(x)⋅g(x)]′=f′(x)⋅g(x)+f(x)⋅g′(x)
[g(x)f(x)]′=[g(x)]2f′(x)⋅g(x)−f(x)⋅g′(x)
Differentiation Rules
(C)′=0
(xn)′=nxn−1
(sinx)′=cosx
(cosx)′=−sinx
(tanx)′=sec2x
(secx)′=secx⋅tanx
(cotx)′=−csc2x
(cscx)′=−cscx⋅cotx
(ax)′=ax⋅lna
(ex)′=ex
(logax)′=x⋅lna1
(lnx)′=x1
The Chain Rule
(f(g(x)))′=f′(g(x))⋅g′(x)
Inverse Functions
Inverse Functions
f−1(f(x))=x⟺f(f−1(x))=x
if g(x)=f−1(x),
then g′(x)=f′(g(x))1, f′(g(x))=0
L'Hôpital's Rule
when x→a,
if {f(x)g(x)→0→0 or{f(x)g(x)→∞→∞,
then x→alimg(x)f(x)=x→alimg′(x)f′(x)
If f is continuous on [a,b], u is a number such that min(f(a),f(b))<u<max(f(a),f(b)),
then there is a c∈(a,b) such that f(c)=u
Mean Value Theorem
If f is continuous on [a,b] and differentiable on (a,b), then
∃c∈(a,b) such that f′(c)=b−af(b)−f(a)
Extreme Value Theorem
If f is continuous on the [a,b], then f must attain a maximum and a minimum, each at least once, i.e.
∃c,d∈[a,b] such that f(c)≤f(x)≤f(d),∀x∈[a,b]
Concavity
- If f′′>0, then f concave up
- If f′′<0, then f concave down
Points of Inflection
{f′′f′′=0 or DNEchange sign