Calculo De Derivadas 🚀

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

This article provides a step-by-step guide to calculating derivatives, starting from the formal definition and progressing through essential rules, special techniques (implicit and logarithmic differentiation), and higher-order derivatives. For a function ( y = f(x) ), the derivative, denoted ( f'(x) ) or ( \fracdydx ), is defined as the limit of the difference quotient as the interval approaches zero:

While the limit definition is foundational, we rarely use it for complex functions. Instead, we rely on differentiation rules. a. Basic Rules | Rule | Formula | Example | |------|---------|---------| | Constant | ( \fracddx[c] = 0 ) | ( \fracddx[5] = 0 ) | | Power Rule | ( \fracddx[x^n] = n x^n-1 ) | ( \fracddx[x^4] = 4x^3 ) | | Constant Multiple | ( \fracddx[c \cdot f(x)] = c \cdot f'(x) ) | ( \fracddx[3x^2] = 6x ) | | Sum/Difference | ( (f \pm g)' = f' \pm g' ) | ( \fracddx[x^3 + x] = 3x^2 + 1 ) | b. Product Rule When two differentiable functions are multiplied: calculo de derivadas

[ f'(x) = \lim_h \to 0 \frac(x+h)^2 - x^2h = \lim_h \to 0 \fracx^2 + 2xh + h^2 - x^2h = \lim_h \to 0 (2x + h) = 2x ]

[ f'(x) = \lim_h \to 0 \fracf(x+h) - f(x)h ] [ \fracddx[f(x) \cdot g(x)] = f'(x) \cdot g(x)

Find the derivative of ( f(x) = x^2 ).

| Function | Derivative | |----------|------------| | ( x^n ) | ( n x^n-1 ) | | ( e^x ) | ( e^x ) | | ( a^x ) | ( a^x \ln a ) | | ( \ln x ) | ( \frac1x, x > 0 ) | | ( \log_a x ) | ( \frac1x \ln a ) | | ( \sin x ) | ( \cos x ) | | ( \cos x ) | ( -\sin x ) | | ( \tan x ) | ( \sec^2 x ) | | ( \cot x ) | ( -\csc^2 x ) | | ( \sec x ) | ( \sec x \tan x ) | | ( \csc x ) | ( -\csc x \cot x ) | | ( \arcsin x ) | ( \frac1\sqrt1-x^2 ) | | ( \arccos x ) | ( -\frac1\sqrt1-x^2 ) | | ( \arctan x ) | ( \frac11+x^2 ) | a. Implicit Differentiation Use when ( y ) is not isolated (e.g., ( x^2 + y^2 = 25 )). Differentiate both sides with respect to ( x ), treating ( y ) as a function of ( x ) and applying the chain rule whenever you differentiate ( y ). | Function | Derivative | |----------|------------| | (

In Leibniz notation: ( \fracdydx = \fracdydu \cdot \fracdudx ), where ( u = g(x) ).