Unless otherwise stated, all functions are functions of real numbers (R) that return real values; although more generally, the formulae below apply wherever they are well defined^[1][2] — including the case of complex numbers (C).^[3]

Constant term rule edit

For any value of ${\displaystyle c}$ , where ${\displaystyle c\in \mathbb {R} }$ , if ${\displaystyle f(x)}$  is the constant function given by ${\displaystyle f(x)=c}$ , then ${\displaystyle {\frac {df}{dx}}=0}$ .^[4]

Proof edit

Let ${\displaystyle c\in \mathbb {R} }$  and ${\displaystyle f(x)=c}$ . By the definition of the derivative,

${\displaystyle {\begin{aligned}f'(x)&=\lim _{h\to 0}{\frac {f(x+h)-f(x)}{h}}\\&=\lim _{h\to 0}{\frac {(c)-(c)}{h}}\\&=\lim _{h\to 0}{\frac {0}{h}}\\&=\lim _{h\to 0}0\\&=0\end{aligned}}}$ 

This shows that the derivative of any constant function is 0.

Intuitive (geometric) explanation edit

The derivative of the function at a point is the slope of the line tangent to the curve at the point. Slope of the constant function is zero, because the tangent line to the constant function is horizontal and it's angle is zero.

In other words, the value of the constant function, y, will not change as the value of x increases or decreases.

Differentiation is linear edit

For any functions ${\displaystyle f}$  and ${\displaystyle g}$  and any real numbers ${\displaystyle a}$  and ${\displaystyle b}$ , the derivative of the function ${\displaystyle h(x)=af(x)+bg(x)}$  with respect to ${\displaystyle x}$  is: ${\displaystyle h'(x)=af'(x)+bg'(x).}$ 

In Leibniz's notation this is written as:

Special cases include:

• The constant factor rule
  $${\displaystyle (af)'=af'}$$

   
• The sum rule
  $${\displaystyle (f+g)'=f'+g'}$$

   
• The difference rule
  $${\displaystyle (f-g)'=f'-g'.}$$

   

The product rule edit

For the functions ${\displaystyle f}$  and ${\displaystyle g}$ , the derivative of the function ${\displaystyle h(x)=f(x)g(x)}$  with respect to ${\displaystyle x}$  is

The chain rule edit

The derivative of the function ${\displaystyle h(x)=f(g(x))}$  is

In Leibniz's notation, this is written as:

Focusing on the notion of maps, and the differential being a map ${\displaystyle {\text{D}}}$ , this is written in a more concise way as:

The inverse function rule edit

If the function f has an inverse function g, meaning that ${\displaystyle g(f(x))=x}$  and ${\displaystyle f(g(y))=y,}$  then

In Leibniz notation, this is written as

The polynomial or elementary power rule edit

If ${\displaystyle f(x)=x^{r}}$ , for any real number ${\displaystyle r\neq 0,}$  then

${\displaystyle f'(x)=rx^{r-1}.}$ 

When ${\displaystyle r=1,}$  this becomes the special case that if ${\displaystyle f(x)=x,}$  then ${\displaystyle f'(x)=1.}$ 

Combining the power rule with the sum and constant multiple rules permits the computation of the derivative of any polynomial.

The reciprocal rule edit

The derivative of ${\displaystyle h(x)={\frac {1}{f(x)}}}$ for any (nonvanishing) function f is:

${\displaystyle h'(x)=-{\frac {f'(x)}{(f(x))^{2}}}}$  wherever f is non-zero.

In Leibniz's notation, this is written

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

The reciprocal rule can be derived either from the quotient rule, or from the combination of power rule and chain rule.

The quotient rule edit

If f and g are functions, then:

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

This can be derived from the product rule and the reciprocal rule.

Generalized power rule edit

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

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

wherever both sides are well defined.

Special cases

• If ${\textstyle f(x)=x^{a}\!}$ , then ${\textstyle f'(x)=ax^{a-1}}$  when a is any non-zero real number and x is positive.
• The reciprocal rule may be derived as the special case where ${\textstyle g(x)=-1\!}$ .

${\displaystyle {\frac {d}{dx}}\left(c^{ax}\right)={ac^{ax}\ln c},\qquad c>0}$ 

the equation above is true for all c, but the derivative for ${\textstyle c<0}$  yields a complex number.

${\displaystyle {\frac {d}{dx}}\left(e^{ax}\right)=ae^{ax}}$ 

${\displaystyle {\frac {d}{dx}}\left(\log _{c}x\right)={1 \over x\ln c},\qquad c>1}$ 

the equation above is also true for all c, but yields a complex number if ${\textstyle c<0\!}$ .

${\displaystyle {\frac {d}{dx}}\left(\ln x\right)={1 \over x},\qquad x>0.}$ 

${\displaystyle {\frac {d}{dx}}\left(\ln |x|\right)={1 \over x},\qquad x\neq 0.}$ 

${\displaystyle {\frac {d}{dx}}\left(W(x)\right)={1 \over {x+e^{W(x)}}},\qquad x>-{1 \over e}.\qquad }$ where ${\displaystyle W(x)}$  is the Lambert W function

${\displaystyle {\frac {d}{dx}}\left(x^{x}\right)=x^{x}(1+\ln x).}$ 

${\displaystyle {\frac {d}{dx}}\left(f(x)^{g(x)}\right)=g(x)f(x)^{g(x)-1}{\frac {df}{dx}}+f(x)^{g(x)}\ln {(f(x))}{\frac {dg}{dx}},\qquad {\text{if }}f(x)>0,{\text{ and if }}{\frac {df}{dx}}{\text{ and }}{\frac {dg}{dx}}{\text{ exist.}}}$ 

${\displaystyle {\frac {d}{dx}}\left(f_{1}(x)^{f_{2}(x)^{\left(...\right)^{f_{n}(x)}}}\right)=\left[\sum \limits _{k=1}^{n}{\frac {\partial }{\partial x_{k}}}\left(f_{1}(x_{1})^{f_{2}(x_{2})^{\left(...\right)^{f_{n}(x_{n})}}}\right)\right]{\biggr \vert }_{x_{1}=x_{2}=...=x_{n}=x},{\text{ if }}f_{i<n}(x)>0{\text{ and }}}$  ${\displaystyle {\frac {df_{i}}{dx}}{\text{ exists. }}}$ 

Logarithmic derivatives edit

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

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

Logarithmic differentiation is a technique which uses logarithms and its differentiation rules to simplify certain expressions before actually applying the derivative.^{[citation needed]}

Logarithms can be used to remove exponents, convert products into sums, and convert division into subtraction — each of which may lead to a simplified expression for taking derivatives.

The derivatives in the table above are for when the range of the inverse secant is ${\displaystyle [0,\pi ]\!}$  and when the range of the inverse cosecant is ${\displaystyle \left[-{\frac {\pi }{2}},{\frac {\pi }{2}}\right].}$ 

It is common to additionally define an inverse tangent function with two arguments, ${\displaystyle \arctan(y,x).}$  Its value lies in the range ${\displaystyle [-\pi ,\pi ]}$  and reflects the quadrant of the point ${\displaystyle (x,y).}$  For the first and fourth quadrant (i.e. ${\displaystyle x>0}$ ) one has ${\displaystyle \arctan(y,x>0)=\arctan(y/x).}$  Its partial derivatives are

${\displaystyle {\frac {\partial \arctan(y,x)}{\partial y}}={\frac {x}{x^{2}+y^{2}}}\qquad {\text{and}}\qquad {\frac {\partial \arctan(y,x)}{\partial x}}={\frac {-y}{x^{2}+y^{2}}}.}$ 

See Hyperbolic functions for restrictions on these derivatives.

Gamma function

${\displaystyle \Gamma (x)=\int _{0}^{\infty }t^{x-1}e^{-t}\,dt}$ 

${\displaystyle {\begin{aligned}\Gamma '(x)&=\int _{0}^{\infty }t^{x-1}e^{-t}\ln t\,dt\\&=\Gamma (x)\left(\sum _{n=1}^{\infty }\left(\ln \left(1+{\dfrac {1}{n}}\right)-{\dfrac {1}{x+n}}\right)-{\dfrac {1}{x}}\right)\\&=\Gamma (x)\psi (x)\end{aligned}}}$ 

with ${\displaystyle \psi (x)}$  being the digamma function, expressed by the parenthesized expression to the right of ${\displaystyle \Gamma (x)}$  in the line above.

Riemann zeta function

${\displaystyle \zeta (x)=\sum _{n=1}^{\infty }{\frac {1}{n^{x}}}}$ 

${\displaystyle {\begin{aligned}\zeta '(x)&=-\sum _{n=1}^{\infty }{\frac {\ln n}{n^{x}}}=-{\frac {\ln 2}{2^{x}}}-{\frac {\ln 3}{3^{x}}}-{\frac {\ln 4}{4^{x}}}-\cdots \\&=-\sum _{p{\text{ prime}}}{\frac {p^{-x}\ln p}{(1-p^{-x})^{2}}}\prod _{q{\text{ prime}},q\neq p}{\frac {1}{1-q^{-x}}}\end{aligned}}}$ 

Suppose that it is required to differentiate with respect to x the function

${\displaystyle F(x)=\int _{a(x)}^{b(x)}f(x,t)\,dt,}$ 

where the functions ${\displaystyle f(x,t)}$  and ${\displaystyle {\frac {\partial }{\partial x}}\,f(x,t)}$  are both continuous in both ${\displaystyle t}$  and ${\displaystyle x}$  in some region of the ${\displaystyle (t,x)}$  plane, including ${\displaystyle a(x)\leq t\leq b(x),}$  ${\displaystyle x_{0}\leq x\leq x_{1}}$ , and the functions ${\displaystyle a(x)}$  and ${\displaystyle b(x)}$  are both continuous and both have continuous derivatives for ${\displaystyle x_{0}\leq x\leq x_{1}}$ . Then for ${\displaystyle \,x_{0}\leq x\leq x_{1}}$ :

${\displaystyle F'(x)=f(x,b(x))\,b'(x)-f(x,a(x))\,a'(x)+\int _{a(x)}^{b(x)}{\frac {\partial }{\partial x}}\,f(x,t)\;dt\,.}$ 

This formula is the general form of the Leibniz integral rule and can be derived using the fundamental theorem of calculus.

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

Faà di Bruno's formula edit

If f and g are n-times differentiable, then

General Leibniz rule edit

If f and g are n-times differentiable, then

• Differentiable function – Mathematical function whose derivative exists
• Differential of a function – Notion in calculus
• Differentiation of integrals – Problem in mathematics
• Differentiation under the integral sign – Differentiation under the integral sign formulaPages displaying short descriptions of redirect targets
• Hyperbolic functions – Collective name of 6 mathematical functions
• Inverse hyperbolic functions – Mathematical functions
• Inverse trigonometric functions – Inverse functions of sin, cos, tan, etc.
• Lists of integrals
• List of mathematical functions
• Matrix calculus – Specialized notation for multivariable calculus
• Trigonometric functions – Functions of an angle
• Vector calculus identities – Mathematical identities

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, Schaum'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 978-0-521-19225-5.

• Derivative calculator with formula simplification