Differentiation rules

Topics in Calculus

Fundamental theorem Limits of functions Continuity Mean value theorem Differential calculus  Derivative Change of variables Implicit differentiation Taylor's theorem Related rates Rules and identities: Power rule, Product rule, Quotient rule, Chain rule Integral calculus  Integral Lists of integrals Improper integrals Integration by: parts, disks, cylindrical shells, substitution, trigonometric substitution, partial fractions, changing order Vector calculus  Gradient Divergence Curl Laplacian Gradient theorem Green's theorem Stokes' theorem Divergence theorem Multivariable calculus  Matrix calculus Partial derivative Multiple integral Line integral Surface integral Volume integral Jacobian

This is a summary of differentiation rules, that is, rules for computing the derivative of a function in calculus.

Elementary rules of differentiation

Unless otherwise stated, all functions are functions of real, R, numbers that return real, R, values; although more generally, the formulae below apply wherever they are well defined - including complex, C, numbers .

Differentiation is linear

Main article: Linearity of differentiation

For any functions f and g and any real numbers a and b the derivative of the function h(x) = af(x) + bg(x) with respect to x is

$h'(x) = a f'(x) + b g'(x).\,$

In Leibniz's notation this is written as:

$\frac{d(af+bg)}{dx} = a\frac{df}{dx} +b\frac{dg}{dx}.$

Special cases include:

• The constant multiple rule

$(af)' = af' \,$

• The sum rule

$(f + g)' = f' + g'\,$

• The subtraction rule

$(f - g)' = f' - g'.\,$

The product rule (Leibniz rule)

Main article: Product rule

For the functions f and g, the derivative of the function h(x) = f(x) g(x) with respect to x is

$h'(x) = f'(x) g(x) + f(x) g'(x).\,$

In Leibniz's notation this is written

$\frac{d(fg)}{dx} = \frac{df}{dx} g + f \frac{dg}{dx}.$

The chain rule

Main article: Chain rule

The derivative of the function of a function h(x) = f(g(x)) with respect to x is

$h'(x) = f'(g(x)) g'(x).\,$

In Leibniz's notation this is written as:

$\frac{df}{dx} = \frac{df}{dg} \frac{dg}{dx}.\,$

The inverse function rule

Main article: inverse functions and differentiation

If the function f has an inverse function g, meaning that g(f(x)) = x and f(g(y)) = y, then

$g' = \frac{1}{f'\circ g}.\,$

In Leibniz notation, this is written as

$\frac{dx}{dy} = \frac{1}{dy/dx}.$

Power laws, polynomials, quotients, and reciprocals

The polynomial or elementary power rule

Main article: Calculus with polynomials

If f(x) = xⁿ, for any integer n then

$f'(x) = nx^{n-1}.\,$

Special cases include:

• Constant rule: if f is the constant function f(x) = c, for any number c, then for all x, f′(x) = 0.
• if f(x) = x, then f′(x) = 1. This special case may be generalized to:

  The derivative of a linear function is constant: if f(x) = ax + b, then f′(x) = a.

Combining this rule with the linearity of the derivative permits the computation of the derivative of any polynomial.

The reciprocal rule

Main article: Reciprocal rule

The derivative of h(x) = 1/f(x) for any (nonvanishing) function f is:

$h'(x) = -\frac{f'(x)}{[f(x)]^2}.\$

In Leibniz's notation, this is written

$\frac{d(1/f)}{dx} = -\frac{1}{f^2}\frac{df}{dx}.\,$

The reciprocal rule can be derived from the chain rule and the power rule.

The quotient rule

Main article: Quotient rule

If f and g are functions, then:

$\left(\frac{f}{g}\right)' = \frac{f'g - g'f}{g^2}\quad$ wherever g is nonzero.

This can be derived from reciprocal rule and the product rule. Conversely (using the constant rule) the reciprocal rule may be derived from the special case f(x) = 1.

Generalized power rule

Main article: Power rules

The elementary power rule generalizes considerably. The most general power rule is the functional power rule: for any functions f and g,

$(f^g)' = \left(e^{g\ln f}\right)' = f^g\left(f'{g \over f} + g'\ln f\right),\quad$

wherever both sides are well defined.

Special cases:

• If f(x) = x^a, f′(x) = ax^{a − 1} when a is any real number and x is positive.
• The reciprocal rule may be derived as the special case where g(x) = −1.

Derivatives of exponential and logarithmic functions

$\left(c^{ax}\right)' = {c^{ax} \ln c \cdot a } ,\qquad c > 0$

note that the equation above is true for all c, but the derivative for c < 0 yields a complex number.

$\left(e^x\right)' = e^x$

$\left( \log_c x\right)' = {1 \over x \ln c} , \qquad c > 0, c \ne 1$

the equation above is also true for all c but yields a complex number.

$\left( \ln x\right)' = {1 \over x} ,\qquad x \ne 0$

$\left( \ln |x|\right)' = {1 \over x}$

$\left( x^x \right)' = x^x(1+\ln x)$

The derivative of the natural logarithm with a generalised functional argument f(x) is

$\frac{d}{dx}[\ln(f(x))] = \frac{f'(x)}{f(x)}$

By applying the change-of-base identity, the derivative for other bases is

$\frac{d}{dx} \log_b(x) = \frac{d}{dx} \frac {\ln(x)}{\ln(b)} = \frac{1}{x \ln(b)} = \frac{\log_b(e)}{x}.$

Logarithmic derivatives

The logarithmic derivative is another way of stating the rule for differentiating the logarithm of a function (using the chain rule):

$(\ln f)'= \frac{f'}{f} \quad$ wherever f is positive.

Derivatives of trigonometric functions

For more details on this topic, see Differentiation of trigonometric functions.

$(\sin x)' = \cos x \,$	$(\arcsin x)' = { 1 \over \sqrt{1 - x^2}} \,$
$(\cos x)' = -\sin x \,$	$(\arccos x)' = -{1 \over \sqrt{1 - x^2}} \,$
$(\tan x)' = \sec^2 x = { 1 \over \cos^2 x} = 1 + \tan^2 x \,$	$(\arctan x)' = { 1 \over 1 + x^2} \,$
$(\sec x)' = \sec x \tan x \,$	$(\operatorname{arcsec} x)' = { 1 \over |x|\sqrt{x^2 - 1}} \,$
$(\csc x)' = -\csc x \cot x \,$	$(\operatorname{arccsc} x)' = -{1 \over |x|\sqrt{x^2 - 1}} \,$
$(\cot x)' = -\csc^2 x = { -1 \over \sin^2 x} = -(1 + \cot^2 x)\,$	$(\operatorname{arccot} x)' = -{1 \over 1 + x^2} \,$

Derivatives of hyperbolic functions

$( \sinh x )'= \cosh x = \frac{e^x + e^{-x}}{2}$	$(\operatorname{arsinh}\,x)' = { 1 \over \sqrt{x^2 + 1}}$
$(\cosh x )'= \sinh x = \frac{e^x - e^{-x}}{2}$	$(\operatorname{arcosh}\,x)' = {\frac {1}{\sqrt{x^2-1}}}$
$(\tanh x )'= {\operatorname{sech}^2\,x}$	$(\operatorname{artanh}\,x)' = { 1 \over 1 - x^2}$
$(\operatorname{sech}\,x)' = - \tanh x\,\operatorname{sech}\,x$	$(\operatorname{arsech}\,x)' = -{1 \over x\sqrt{1 - x^2}}$
$(\operatorname{csch}\,x)' = -\,\operatorname{coth}\,x\,\operatorname{csch}\,x$	$(\operatorname{arcsch}\,x)' = -{1 \over |x|\sqrt{1 + x^2}}$
$(\operatorname{coth}\,x )' = -\,\operatorname{csch}^2\,x$	$(\operatorname{arcoth}\,x)' = { 1 \over 1 - x^2}$

Derivatives of special functions

Gamma function $(\Gamma(x))' = \int_0^\infty t^{x-1} e^{-t} \ln t\,dt$ $(\Gamma(x))' = \Gamma(x) \left(\sum_{n=1}^\infty \left(\ln\left(1 + \dfrac{1}{n}\right) - \dfrac{1}{x + n}\right) - \dfrac{1}{x}\right) = \Gamma(x) \psi(x)$

Riemann Zeta function $(\zeta(x))' = -\sum_{n=1}^\infty \frac{\ln n}{n^x} = -\frac{\ln 2}{2^x} - \frac{\ln 3}{3^x} - \frac{\ln 4}{4^x} - \cdots \!$ $(\zeta(x))' = -\sum_{p \text{ prime}} \frac{p^{-x} \ln p}{(1-p^{-x})^2}\prod_{q \text{ prime}, q \neq p} \frac{1}{1-q^{-x}} \!$

Derivatives to nth order

Some rules exist for computing the nth derivative of functions, where n is a positive integer. These include:

Faà di Bruno's formula

Main article: faà di Bruno's formula

If f and g are n times differentiable, then

$\frac{d^n}{d x^n} [f(g(x))]= n! \sum_{\{k_m\}}^{} f^{(r)}(g(x)) \prod_{m=1}^n \frac{1}{k_m!} \left(g^{(m)}(x) \right)^{k_m}$

where $r = \sum_{m=1}^{n-1} k_m$ and the set {k_m} consists of all non-negative integer solutions of the Diophantine equation $\sum_{m=1}^{n} m k_m = n$.

General Leibniz rule

Main article: General Leibniz rule

If f and g are n times differentiable, then

$\frac{d^n}{dx^n}[f(x)g(x)] = \sum_{k=0}^{n} \binom{n}{k} \frac{d^{n-k}}{d x^{n-k}} f(x) \frac{d^k}{d x^k} g(x)$

See also

• Derivative
• Differential calculus
• Vector calculus identities
• Differentiable function
• Differential of a function
• Limit of a function
• Function (mathematics)
• List of mathematical functions
• Trigonometric functions
• Inverse trigonometric functions
• Hyperbolic functions
• Inverse hyperbolic functions
• Matrix calculus

Sources and further reading

These rules are given in many books, both on elementary and advanced calculus, in pure and applied mathematics. Those in this article (in addition to the above references) can be found in:

• Mathematical Handbook of Formulas and Tables (3rd edition), S. Lipschutz, M.R. Spiegel, J. Liu, Schuam's Outline Series, 2009, ISBN 978-0-07-154855-7.
• The Cambridge Handbook of Physics Formulas, G. Woan, Cambridge University Press, 2010, ISBN 978-0-521-57507-2.
• Mathematical methods for physics and engineering, K.F. Riley, M.P. Hobson, S.J. Bence, Cambridge University Press, 2010, ISBN 978-0-521-86153-3
• NIST Handbook of Mathematical Functions, F. W. J. Olver, D. W. Lozier, R. F. Boisvert, C. W. Clark, Cambridge University Press, 2010, ISBN 9780521192255.

External links

• Derivative calculator with formula simplification
• A Table of Derivatives