Quotient rule
{{short description|Formula for the derivative of a ratio of functions}}
{{Calculus |Differential}}
In calculus, the quotient rule is a method of finding the derivative of a function that is the ratio of two differentiable functions. Let , where both {{mvar|f}} and {{mvar|g}} are differentiable and The quotient rule states that the derivative of {{math|h(x)}} is
:
It is provable in many ways by using other derivative rules.
Examples
= Example 1: Basic example =
Given , let , then using the quotient rule:
\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 - 2x e^x}{x^4} \\
&= \frac{x e^x - 2 e^x}{x^3} \\
&= \frac{e^x(x - 2)}{x^3}.
\end{align}
= Example 2: Derivative of tangent function =
The quotient rule can be used to find the derivative of as follows:
\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{align}
Reciprocal rule
{{Main|Reciprocal rule}}
The reciprocal rule is a special case of the quotient rule in which the numerator . Applying the quotient rule gives
Utilizing the chain rule yields the same result.
Proofs
=Proof from derivative definition and limit properties=
Let Applying the definition of the derivative and properties of limits gives the following proof, with the term added and subtracted to allow splitting and factoring in subsequent steps without affecting the value:
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{align}The limit evaluation is justified by the differentiability of , implying continuity, which can be expressed as .
=Proof using implicit differentiation=
Let so that
The product rule then gives
Solving for and substituting back for gives:
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{align}
=Proof using the reciprocal rule or chain rule=
Let
Then the product rule gives
To evaluate the derivative in the second term, apply the reciprocal rule, or the power rule along with the chain rule:
Substituting the result into the expression gives
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{align}
= Proof by logarithmic differentiation =
Let Taking the absolute value and natural logarithm of both sides of the equation gives
Applying properties of the absolute value and logarithms,
Taking the logarithmic derivative of both sides,
Solving for and substituting back for gives:
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{align}
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 , which justifies taking the absolute value of the functions for logarithmic differentiation.
Higher order derivatives
Implicit differentiation can be used to compute the {{mvar|n}}th derivative of a quotient (partially in terms of its first {{math|n − 1}} derivatives). For example, differentiating twice (resulting in ) and then solving for yields
See also
- {{annotated link|Chain rule}}
- {{annotated link|Differentiation of integrals}}
- {{annotated link|Differentiation rules}}
- {{annotated link|General Leibniz rule}}
- {{annotated link|Inverse functions and differentiation}}
- {{annotated link|Linearity of differentiation}}
- {{annotated link|Product rule}}
- {{annotated link|Reciprocal rule}}
- {{annotated link|Table of derivatives}}
- {{annotated link|Vector calculus identities}}
References
{{reflist}}
{{Calculus topics}}
Category:Articles containing proofs
Category:Differentiation rules