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Create an AccountIntroduction The derivative is one of the most powerful tools in calculus. At its core, it measures instantaneous change —the rate at which one quantity changes with respect to another. From predicting stock market trends to optimizing manufacturing costs and modeling the motion of planets, derivatives are indispensable in science, engineering, economics, and beyond.
In Leibniz notation: ( \fracdydx = \fracdydu \cdot \fracdudx ), where ( u = g(x) ).
[ 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 ] calculo de derivadas
| 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 ).
Take ( \ln ) of both sides, use log properties to simplify, differentiate implicitly, solve for ( y' ). Introduction The derivative is one of the most
[ f'(x) = \lim_h \to 0 \fracf(x+h) - f(x)h ]
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: In Leibniz notation: ( \fracdydx = \fracdydu \cdot
[ \fracdydx = f'(g(x)) \cdot g'(x) ]