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Differentiation

Derivative

f′(x0)=lim⁡Δx→0ΔyΔx=lim⁡Δx→0f(x0+Δx)−f(x0)Δxf'(x_0) = \lim\limits_{\Delta x \to 0} \dfrac{\Delta y}{\Delta x} = \lim\limits_{\Delta x \to 0} \dfrac{f(x_0 + \Delta x) - f(x_0)}{\Delta x}

f−′(x0)=lim⁡Δx→0−f(x0+Δx)−f(x0)Δx=lim⁡x→x0−f(x)−f(x0)x−x0f'_-(x_0) = \lim\limits_{\Delta x \to 0^-} \dfrac{f(x_0 + \Delta x) - f(x_0)}{\Delta x} = \lim\limits_{x \to x_0^-} \dfrac{f(x) - f(x_0)}{x - x_0}

f+′(x0)=lim⁡Δx→0+f(x0+Δx)−f(x0)Δx=lim⁡x→x0+f(x)−f(x0)x−x0f'_+(x_0) = \lim\limits_{\Delta x \to 0^+} \dfrac{f(x_0 + \Delta x) - f(x_0)}{\Delta x} = \lim\limits_{x \to x_0^+} \dfrac{f(x) - f(x_0)}{x - x_0}

f′(x0) exists  ⟺  f−′(x)=f+′(x)f'(x_0)\ exists \iff f'_-(x) = f'_+(x)

Algorithms

[f(x)±g(x)]′=f′(x)±g′(x)[f(x) \pm g(x)]' = f'(x) \pm g'(x)

[f(x)⋅g(x)]′=f′(x)⋅g(x)+f(x)⋅g′(x)[f(x) \cdot g(x)]' = f'(x) \cdot g(x) + f(x) \cdot g'(x)

[f(x)g(x)]′=f′(x)⋅g(x)−f(x)⋅g′(x)[g(x)]2[\dfrac{f(x)}{g(x)}]' = \dfrac{f'(x) \cdot g(x) - f(x) \cdot g'(x)}{[g(x)]^2}

Differentiation Rules

(C)′=0(C)' = 0

(xn)′=nxn−1\boxed{(x^n)' = nx^{n-1}}

(sin⁡x)′=cos⁡x\boxed{(\sin x)' = \cos x}

(cos⁡x)′=−sin⁡x\boxed{(\cos x)' = -\sin x}

(tan⁡x)′=sec⁡2x\boxed{(\tan x)' = \sec^2 x}

(sec⁡x)′=sec⁡x⋅tan⁡x\boxed{(\sec x)' = \sec x \cdot \tan x}

(cot⁡x)′=−csc⁡2x(\cot x)' = - \csc^2 x

(csc⁡x)′=−csc⁡x⋅cot⁡x(\csc x)' = - \csc x \cdot \cot x

(ax)′=ax⋅ln⁡a\boxed{(a^x)' = a^x \cdot \ln a}

(ex)′=ex(e^x)' = e^x

(log⁡ax)′=1x⋅ln⁡a\boxed{(\log_ax)' = \frac{1}{x \cdot \ln a}}

(ln⁡x)′=1x(\ln x)' = \frac{1}{x}

The Chain Rule

(f(g(x)))′=f′(g(x))⋅g′(x)\boxed{(f(g(x)))' = f'(g(x)) \cdot g'(x)}

Inverse Functions

Inverse Functions

f−1(f(x))=x  ⟺  f(f−1(x))=xf^{-1}(f(x)) = x \iff f(f^{-1}(x)) = x

if  g(x)=f−1(x)\ g(x) = f^{-1}(x),

then  g′(x)=1f′(g(x)), f′(g(x))≠0\ \boxed{g'(x) = \dfrac{1}{f'(g(x))}},\ f'(g(x)) \neq 0

L'Hôpital's Rule

when x→ax \to a,

if {f(x)→0g(x)→0 or{f(x)→∞g(x)→∞\left\{\begin{aligned} f(x) & \to 0 \\ g(x) & \to 0 \end{aligned}\right.\ or \left\{\begin{aligned} f(x) & \to \infty\\ g(x) & \to \infty \end{aligned}\right.,

then lim⁡x→af(x)g(x)=lim⁡x→af′(x)g′(x)\boxed{\lim\limits_{x \to a} \dfrac{f(x)}{g(x)} = \lim\limits_{x \to a} \dfrac{f'(x)}{g'(x)}}

Intermediate Value Theorem

If ff is continuous on [a,b][a, b], uu is a number such that min⁡(f(a),f(b))<u<max⁡(f(a),f(b))\min(f(a), f(b)) < u < \max(f(a), f(b)),

then there is a c∈(a,b)c \in (a, b) such that f(c)=uf(c) = u

Mean Value Theorem

If ff is continuous on [a,b][a, b] and differentiable on (a,b)(a, b), then

∃c∈(a,b)\exists c \in (a, b) such that f′(c)=f(b)−f(a)b−a\boxed{f'(c) = \dfrac{f(b)-f(a)}{b-a}}

Extreme Value Theorem

If ff is continuous on the [a,b][a, b], then ff must attain a maximum and a minimum, each at least once, i.e.

∃c,d∈[a,b]\exists c, d \in [a, b] such that f(c)≤f(x)≤f(d),∀x∈[a,b]\boxed{f(c) \leq f(x) \leq f(d), \forall x \in [a, b]}

Concavity

  • If f′′>0\boxed{f'' > 0}, then ff concave up
  • If f′′<0\boxed{f'' < 0}, then ff concave down

Points of Inflection

{f′′=0 or DNEf′′change sign\left\{\begin{aligned} f'' & = 0\ or\ DNE \\ f'' & change\ sign \end{aligned}\right.

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