Formula for the derivative of a ratio of functions
In calculus , the quotient rule is a method of finding the derivative of a function that is the ratio of two differentiable functions.[ 1] [ 2] [ 3] Let
h
(
x
)
=
f
(
x
)
g
(
x
)
{\displaystyle h(x)={\frac {f(x)}{g(x)}}}
, where both f and g are differentiable and
g
(
x
)
≠
0.
{\displaystyle g(x)\neq 0.}
The quotient rule states that the derivative of h (x ) is
h
′
(
x
)
=
f
′
(
x
)
g
(
x
)
−
f
(
x
)
g
′
(
x
)
(
g
(
x
)
)
2
.
{\displaystyle h'(x)={\frac {f'(x)g(x)-f(x)g'(x)}{(g(x))^{2}}}.}
It is provable in many ways by using other derivative rules .
Example 1: Basic example [ edit ]
Given
h
(
x
)
=
e
x
x
2
{\displaystyle h(x)={\frac {e^{x}}{x^{2}}}}
, let
f
(
x
)
=
e
x
,
g
(
x
)
=
x
2
{\displaystyle f(x)=e^{x},g(x)=x^{2}}
, then using the quotient rule:
d
d
x
(
e
x
x
2
)
=
(
d
d
x
e
x
)
(
x
2
)
−
(
e
x
)
(
d
d
x
x
2
)
(
x
2
)
2
=
(
e
x
)
(
x
2
)
−
(
e
x
)
(
2
x
)
x
4
=
x
2
e
x
−
2
x
e
x
x
4
=
x
e
x
−
2
e
x
x
3
=
e
x
(
x
−
2
)
x
3
.
{\displaystyle {\begin{aligned}{\frac {d}{dx}}\left({\frac {e^{x}}{x^{2}}}\right)&={\frac {\left({\frac {d}{dx}}e^{x}\right)(x^{2})-(e^{x})\left({\frac {d}{dx}}x^{2}\right)}{(x^{2})^{2}}}\\&={\frac {(e^{x})(x^{2})-(e^{x})(2x)}{x^{4}}}\\&={\frac {x^{2}e^{x}-2xe^{x}}{x^{4}}}\\&={\frac {xe^{x}-2e^{x}}{x^{3}}}\\&={\frac {e^{x}(x-2)}{x^{3}}}.\end{aligned}}}
Example 2: Derivative of tangent function [ edit ]
The quotient rule can be used to find the derivative of
tan
x
=
sin
x
cos
x
{\displaystyle \tan x={\frac {\sin x}{\cos x}}}
as follows:
d
d
x
tan
x
=
d
d
x
(
sin
x
cos
x
)
=
(
d
d
x
sin
x
)
(
cos
x
)
−
(
sin
x
)
(
d
d
x
cos
x
)
cos
2
x
=
(
cos
x
)
(
cos
x
)
−
(
sin
x
)
(
−
sin
x
)
cos
2
x
=
cos
2
x
+
sin
2
x
cos
2
x
=
1
cos
2
x
=
sec
2
x
.
{\displaystyle {\begin{aligned}{\frac {d}{dx}}\tan x&={\frac {d}{dx}}\left({\frac {\sin x}{\cos x}}\right)\\&={\frac {\left({\frac {d}{dx}}\sin x\right)(\cos x)-(\sin x)\left({\frac {d}{dx}}\cos x\right)}{\cos ^{2}x}}\\&={\frac {(\cos x)(\cos x)-(\sin x)(-\sin x)}{\cos ^{2}x}}\\&={\frac {\cos ^{2}x+\sin ^{2}x}{\cos ^{2}x}}\\&={\frac {1}{\cos ^{2}x}}=\sec ^{2}x.\end{aligned}}}
The reciprocal rule is a special case of the quotient rule in which the numerator
f
(
x
)
=
1
{\displaystyle f(x)=1}
. Applying the quotient rule gives
h
′
(
x
)
=
d
d
x
[
1
g
(
x
)
]
=
0
⋅
g
(
x
)
−
1
⋅
g
′
(
x
)
g
(
x
)
2
=
−
g
′
(
x
)
g
(
x
)
2
.
{\displaystyle h'(x)={\frac {d}{dx}}\left[{\frac {1}{g(x)}}\right]={\frac {0\cdot g(x)-1\cdot g'(x)}{g(x)^{2}}}={\frac {-g'(x)}{g(x)^{2}}}.}
Utilizing the chain rule yields the same result.
Proof from derivative definition and limit properties [ edit ]
Let
h
(
x
)
=
f
(
x
)
g
(
x
)
.
{\displaystyle h(x)={\frac {f(x)}{g(x)}}.}
Applying the definition of the derivative and properties of limits gives the following proof, with the term
f
(
x
)
g
(
x
)
{\displaystyle f(x)g(x)}
added and subtracted to allow splitting and factoring in subsequent steps without affecting the value:
h
′
(
x
)
=
lim
k
→
0
h
(
x
+
k
)
−
h
(
x
)
k
=
lim
k
→
0
f
(
x
+
k
)
g
(
x
+
k
)
−
f
(
x
)
g
(
x
)
k
=
lim
k
→
0
f
(
x
+
k
)
g
(
x
)
−
f
(
x
)
g
(
x
+
k
)
k
⋅
g
(
x
)
g
(
x
+
k
)
=
lim
k
→
0
f
(
x
+
k
)
g
(
x
)
−
f
(
x
)
g
(
x
+
k
)
k
⋅
lim
k
→
0
1
g
(
x
)
g
(
x
+
k
)
=
lim
k
→
0
[
f
(
x
+
k
)
g
(
x
)
−
f
(
x
)
g
(
x
)
+
f
(
x
)
g
(
x
)
−
f
(
x
)
g
(
x
+
k
)
k
]
⋅
1
[
g
(
x
)
]
2
=
[
lim
k
→
0
f
(
x
+
k
)
g
(
x
)
−
f
(
x
)
g
(
x
)
k
−
lim
k
→
0
f
(
x
)
g
(
x
+
k
)
−
f
(
x
)
g
(
x
)
k
]
⋅
1
[
g
(
x
)
]
2
=
[
lim
k
→
0
f
(
x
+
k
)
−
f
(
x
)
k
⋅
g
(
x
)
−
f
(
x
)
⋅
lim
k
→
0
g
(
x
+
k
)
−
g
(
x
)
k
]
⋅
1
[
g
(
x
)
]
2
=
f
′
(
x
)
g
(
x
)
−
f
(
x
)
g
′
(
x
)
[
g
(
x
)
]
2
.
{\displaystyle {\begin{aligned}h'(x)&=\lim _{k\to 0}{\frac {h(x+k)-h(x)}{k}}\\&=\lim _{k\to 0}{\frac {{\frac {f(x+k)}{g(x+k)}}-{\frac {f(x)}{g(x)}}}{k}}\\&=\lim _{k\to 0}{\frac {f(x+k)g(x)-f(x)g(x+k)}{k\cdot g(x)g(x+k)}}\\&=\lim _{k\to 0}{\frac {f(x+k)g(x)-f(x)g(x+k)}{k}}\cdot \lim _{k\to 0}{\frac {1}{g(x)g(x+k)}}\\&=\lim _{k\to 0}\left[{\frac {f(x+k)g(x)-f(x)g(x)+f(x)g(x)-f(x)g(x+k)}{k}}\right]\cdot {\frac {1}{[g(x)]^{2}}}\\&=\left[\lim _{k\to 0}{\frac {f(x+k)g(x)-f(x)g(x)}{k}}-\lim _{k\to 0}{\frac {f(x)g(x+k)-f(x)g(x)}{k}}\right]\cdot {\frac {1}{[g(x)]^{2}}}\\&=\left[\lim _{k\to 0}{\frac {f(x+k)-f(x)}{k}}\cdot g(x)-f(x)\cdot \lim _{k\to 0}{\frac {g(x+k)-g(x)}{k}}\right]\cdot {\frac {1}{[g(x)]^{2}}}\\&={\frac {f'(x)g(x)-f(x)g'(x)}{[g(x)]^{2}}}.\end{aligned}}}
The limit evaluation
lim
k
→
0
1
g
(
x
+
k
)
g
(
x
)
=
1
[
g
(
x
)
]
2
{\displaystyle \lim _{k\to 0}{\frac {1}{g(x+k)g(x)}}={\frac {1}{[g(x)]^{2}}}}
is justified by the differentiability of
g
(
x
)
{\displaystyle g(x)}
, implying continuity, which can be expressed as
lim
k
→
0
g
(
x
+
k
)
=
g
(
x
)
{\displaystyle \lim _{k\to 0}g(x+k)=g(x)}
.
Proof using implicit differentiation [ edit ]
Let
h
(
x
)
=
f
(
x
)
g
(
x
)
,
{\displaystyle h(x)={\frac {f(x)}{g(x)}},}
so that
f
(
x
)
=
g
(
x
)
h
(
x
)
.
{\displaystyle f(x)=g(x)h(x).}
The product rule then gives
f
′
(
x
)
=
g
′
(
x
)
h
(
x
)
+
g
(
x
)
h
′
(
x
)
.
{\displaystyle f'(x)=g'(x)h(x)+g(x)h'(x).}
Solving for
h
′
(
x
)
{\displaystyle h'(x)}
and substituting back for
h
(
x
)
{\displaystyle h(x)}
gives:
h
′
(
x
)
=
f
′
(
x
)
−
g
′
(
x
)
h
(
x
)
g
(
x
)
=
f
′
(
x
)
−
g
′
(
x
)
⋅
f
(
x
)
g
(
x
)
g
(
x
)
=
f
′
(
x
)
g
(
x
)
−
f
(
x
)
g
′
(
x
)
[
g
(
x
)
]
2
.
{\displaystyle {\begin{aligned}h'(x)&={\frac {f'(x)-g'(x)h(x)}{g(x)}}\\&={\frac {f'(x)-g'(x)\cdot {\frac {f(x)}{g(x)}}}{g(x)}}\\&={\frac {f'(x)g(x)-f(x)g'(x)}{[g(x)]^{2}}}.\end{aligned}}}
Proof using the reciprocal rule or chain rule [ edit ]
Let
h
(
x
)
=
f
(
x
)
g
(
x
)
=
f
(
x
)
⋅
1
g
(
x
)
.
{\displaystyle h(x)={\frac {f(x)}{g(x)}}=f(x)\cdot {\frac {1}{g(x)}}.}
Then the product rule gives
h
′
(
x
)
=
f
′
(
x
)
⋅
1
g
(
x
)
+
f
(
x
)
⋅
d
d
x
[
1
g
(
x
)
]
.
{\displaystyle h'(x)=f'(x)\cdot {\frac {1}{g(x)}}+f(x)\cdot {\frac {d}{dx}}\left[{\frac {1}{g(x)}}\right].}
To evaluate the derivative in the second term, apply the reciprocal rule , or the power rule along with the chain rule :
d
d
x
[
1
g
(
x
)
]
=
−
1
g
(
x
)
2
⋅
g
′
(
x
)
=
−
g
′
(
x
)
g
(
x
)
2
.
{\displaystyle {\frac {d}{dx}}\left[{\frac {1}{g(x)}}\right]=-{\frac {1}{g(x)^{2}}}\cdot g'(x)={\frac {-g'(x)}{g(x)^{2}}}.}
Substituting the result into the expression gives
h
′
(
x
)
=
f
′
(
x
)
⋅
1
g
(
x
)
+
f
(
x
)
⋅
[
−
g
′
(
x
)
g
(
x
)
2
]
=
f
′
(
x
)
g
(
x
)
−
f
(
x
)
g
′
(
x
)
g
(
x
)
2
=
g
(
x
)
g
(
x
)
⋅
f
′
(
x
)
g
(
x
)
−
f
(
x
)
g
′
(
x
)
g
(
x
)
2
=
f
′
(
x
)
g
(
x
)
−
f
(
x
)
g
′
(
x
)
g
(
x
)
2
.
{\displaystyle {\begin{aligned}h'(x)&=f'(x)\cdot {\frac {1}{g(x)}}+f(x)\cdot \left[{\frac {-g'(x)}{g(x)^{2}}}\right]\\&={\frac {f'(x)}{g(x)}}-{\frac {f(x)g'(x)}{g(x)^{2}}}\\&={\frac {g(x)}{g(x)}}\cdot {\frac {f'(x)}{g(x)}}-{\frac {f(x)g'(x)}{g(x)^{2}}}\\&={\frac {f'(x)g(x)-f(x)g'(x)}{g(x)^{2}}}.\end{aligned}}}
Proof by logarithmic differentiation [ edit ]
Let
h
(
x
)
=
f
(
x
)
g
(
x
)
.
{\displaystyle h(x)={\frac {f(x)}{g(x)}}.}
Taking the absolute value and natural logarithm of both sides of the equation gives
ln
|
h
(
x
)
|
=
ln
|
f
(
x
)
g
(
x
)
|
{\displaystyle \ln |h(x)|=\ln \left|{\frac {f(x)}{g(x)}}\right|}
Applying properties of the absolute value and logarithms,
ln
|
h
(
x
)
|
=
ln
|
f
(
x
)
|
−
ln
|
g
(
x
)
|
{\displaystyle \ln |h(x)|=\ln |f(x)|-\ln |g(x)|}
Taking the logarithmic derivative of both sides,
h
′
(
x
)
h
(
x
)
=
f
′
(
x
)
f
(
x
)
−
g
′
(
x
)
g
(
x
)
{\displaystyle {\frac {h'(x)}{h(x)}}={\frac {f'(x)}{f(x)}}-{\frac {g'(x)}{g(x)}}}
Solving for
h
′
(
x
)
{\displaystyle h'(x)}
and substituting back
f
(
x
)
g
(
x
)
{\displaystyle {\tfrac {f(x)}{g(x)}}}
for
h
(
x
)
{\displaystyle h(x)}
gives:
h
′
(
x
)
=
h
(
x
)
[
f
′
(
x
)
f
(
x
)
−
g
′
(
x
)
g
(
x
)
]
=
f
(
x
)
g
(
x
)
[
f
′
(
x
)
f
(
x
)
−
g
′
(
x
)
g
(
x
)
]
=
f
′
(
x
)
g
(
x
)
−
f
(
x
)
g
′
(
x
)
g
(
x
)
2
=
f
′
(
x
)
g
(
x
)
−
f
(
x
)
g
′
(
x
)
g
(
x
)
2
.
{\displaystyle {\begin{aligned}h'(x)&=h(x)\left[{\frac {f'(x)}{f(x)}}-{\frac {g'(x)}{g(x)}}\right]\\&={\frac {f(x)}{g(x)}}\left[{\frac {f'(x)}{f(x)}}-{\frac {g'(x)}{g(x)}}\right]\\&={\frac {f'(x)}{g(x)}}-{\frac {f(x)g'(x)}{g(x)^{2}}}\\&={\frac {f'(x)g(x)-f(x)g'(x)}{g(x)^{2}}}.\end{aligned}}}
Taking the absolute value of the functions is necessary for the logarithmic differentiation of functions that may have negative values, as logarithms are only real-valued for positive arguments. This works because
d
d
x
(
ln
|
u
|
)
=
u
′
u
{\displaystyle {\tfrac {d}{dx}}(\ln |u|)={\tfrac {u'}{u}}}
, which justifies taking the absolute value of the functions for logarithmic differentiation.
Higher order derivatives [ edit ]
Implicit differentiation can be used to compute the n th derivative of a quotient (partially in terms of its first n − 1 derivatives). For example, differentiating
f
=
g
h
{\displaystyle f=gh}
twice (resulting in
f
″
=
g
″
h
+
2
g
′
h
′
+
g
h
″
{\displaystyle f''=g''h+2g'h'+gh''}
) and then solving for
h
″
{\displaystyle h''}
yields
h
″
=
(
f
g
)
″
=
f
″
−
g
″
h
−
2
g
′
h
′
g
.
{\displaystyle h''=\left({\frac {f}{g}}\right)''={\frac {f''-g''h-2g'h'}{g}}.}