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		<title>35.139.154.158: well, it did have a few,which were removed without explanation...restoring to that version</title>
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		<summary type="html">&lt;p&gt;well, it did have a few,which were removed without explanation...restoring to that version&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{short description|Formula for the derivative of a ratio of functions}}&lt;br /&gt;
{{Calculus |Differential}}&lt;br /&gt;
In [[calculus]], the &amp;#039;&amp;#039;&amp;#039;quotient rule&amp;#039;&amp;#039;&amp;#039; is a method of finding the [[derivative]] of a [[function (mathematics)|function]] that is the ratio of two differentiable functions.&amp;lt;ref&amp;gt;{{cite book | last=Stewart | first=James | author-link=James Stewart (mathematician) | title=Calculus: Early Transcendentals | publisher=[[Brooks/Cole]] | edition=6th | year=2008 | isbn=978-0-495-01166-8 | url-access=registration | url=https://archive.org/details/calculusearlytra00stew_1 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last1=Larson | first1=Ron | author-link=Ron Larson (mathematician)| last2=Edwards | first2=Bruce H. | title=Calculus | publisher=[[Brooks/Cole]] | edition=9th | year=2009 | isbn=978-0-547-16702-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last1 = Thomas | first1 = George B. | last2=Weir | first2= Maurice D. | last3=Hass | first3=Joel | author3-link = Joel Hass | author-link=George B. Thomas | title=Thomas&amp;#039; Calculus: Early Transcendentals | publisher=[[Addison-Wesley]] | year=2010 | edition=12th | isbn=978-0-321-58876-0}}&amp;lt;/ref&amp;gt; Let &amp;lt;math&amp;gt;h(x)=\frac{f(x)}{g(x)}&amp;lt;/math&amp;gt;, where both {{mvar|f}} and {{mvar|g}} are differentiable and &amp;lt;math&amp;gt;g(x)\neq 0.&amp;lt;/math&amp;gt; The quotient rule states that the derivative of {{math|&amp;#039;&amp;#039;h&amp;#039;&amp;#039;(&amp;#039;&amp;#039;x&amp;#039;&amp;#039;)}} is&lt;br /&gt;
:&amp;lt;math&amp;gt;h&amp;#039;(x) = \frac{f&amp;#039;(x)g(x) - f(x)g&amp;#039;(x)}{(g(x))^2}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
It is provable in many ways by using other [[Differentiation rules|derivative rules]].&lt;br /&gt;
&lt;br /&gt;
==Examples==&lt;br /&gt;
&lt;br /&gt;
=== Example 1: Basic example ===&lt;br /&gt;
&lt;br /&gt;
Given &amp;lt;math&amp;gt;h(x)=\frac{e^x}{x^2}&amp;lt;/math&amp;gt;, let &amp;lt;math&amp;gt;f(x)=e^x, g(x)=x^2&amp;lt;/math&amp;gt;, then using the quotient rule:&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;\begin{align}&lt;br /&gt;
    \frac{d}{dx} \left(\frac{e^x}{x^2}\right) &amp;amp;= \frac{\left(\frac{d}{dx}e^x\right)(x^2) - (e^x)\left(\frac{d}{dx} x^2\right)}{(x^2)^2} \\&lt;br /&gt;
     &amp;amp;= \frac{(e^x)(x^2) - (e^x)(2x)}{x^4} \\&lt;br /&gt;
     &amp;amp;= \frac{x^2 e^x - 2x e^x}{x^4} \\&lt;br /&gt;
     &amp;amp;= \frac{x e^x - 2 e^x}{x^3} \\&lt;br /&gt;
     &amp;amp;= \frac{e^x(x - 2)}{x^3}.&lt;br /&gt;
  \end{align}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Example 2: Derivative of tangent function ===&lt;br /&gt;
&lt;br /&gt;
The quotient rule can be used to find the derivative of &amp;lt;math&amp;gt;\tan x = \frac{\sin x}{\cos x}&amp;lt;/math&amp;gt; as follows:&lt;br /&gt;
&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;\begin{align}&lt;br /&gt;
    \frac{d}{dx} \tan x &amp;amp;= \frac{d}{dx} \left(\frac{\sin x}{\cos x}\right) \\&lt;br /&gt;
    &amp;amp;= \frac{\left(\frac{d}{dx}\sin x\right)(\cos x) - (\sin x)\left(\frac{d}{dx}\cos x\right)}{\cos^2 x} \\&lt;br /&gt;
    &amp;amp;= \frac{(\cos x)(\cos x) - (\sin x)(-\sin x)}{\cos^2 x} \\&lt;br /&gt;
    &amp;amp;= \frac{\cos^2 x + \sin^2 x}{\cos^2 x} \\&lt;br /&gt;
    &amp;amp;= \frac{1}{\cos^2 x} = \sec^2 x.&lt;br /&gt;
 \end{align}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Reciprocal rule ==&lt;br /&gt;
{{Main|Reciprocal rule}}&lt;br /&gt;
The reciprocal rule is a special case of the quotient rule in which the numerator &amp;lt;math&amp;gt;f(x)=1&amp;lt;/math&amp;gt;. Applying the quotient rule gives&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;h&amp;#039;(x)=\frac{d}{dx}\left[\frac{1}{g(x)}\right]=\frac{0 \cdot g(x) - 1 \cdot g&amp;#039;(x)}{g(x)^2}=\frac{-g&amp;#039;(x)}{g(x)^2}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Utilizing the [[chain rule]] yields the same result.&lt;br /&gt;
&lt;br /&gt;
==Proofs==&lt;br /&gt;
===Proof from derivative definition and limit properties===&lt;br /&gt;
Let &amp;lt;math&amp;gt;h(x) = \frac{f(x)}{g(x)}.&amp;lt;/math&amp;gt;  Applying the definition of the derivative and properties of limits gives the following proof, with the term &amp;lt;math&amp;gt;f(x) g(x)&amp;lt;/math&amp;gt; added and subtracted to allow splitting and factoring in subsequent steps without affecting the value:&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;\begin{align}&lt;br /&gt;
   h&amp;#039;(x) &amp;amp;= \lim_{k\to 0} \frac{h(x+k) - h(x)}{k} \\&lt;br /&gt;
   &amp;amp;= \lim_{k\to 0} \frac{\frac{f(x+k)}{g(x+k)} - \frac{f(x)}{g(x)}}{k} \\&lt;br /&gt;
   &amp;amp;= \lim_{k\to 0} \frac{f(x+k)g(x) - f(x)g(x+k)}{k \cdot g(x)g(x+k)} \\&lt;br /&gt;
   &amp;amp;= \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)} \\&lt;br /&gt;
   &amp;amp;= \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} \\&lt;br /&gt;
   &amp;amp;= \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} \\&lt;br /&gt;
   &amp;amp;= \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} \\&lt;br /&gt;
   &amp;amp;= \frac{f&amp;#039;(x)g(x) - f(x)g&amp;#039;(x)}{[g(x)]^2}.&lt;br /&gt;
 \end{align}&amp;lt;/math&amp;gt;The limit evaluation &amp;lt;math&amp;gt;\lim_{k \to 0}\frac{1}{g(x+k)g(x)}=\frac{1}{[g(x)]^2}&amp;lt;/math&amp;gt; is justified by the differentiability of &amp;lt;math&amp;gt;g(x)&amp;lt;/math&amp;gt;, implying continuity, which can be expressed as &amp;lt;math&amp;gt;\lim_{k \to 0}g(x+k) = g(x)&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
===Proof using implicit differentiation===&lt;br /&gt;
Let &amp;lt;math&amp;gt;h(x) = \frac{f(x)}{g(x)},&amp;lt;/math&amp;gt;  so that &amp;lt;math&amp;gt;f(x) = g(x)h(x).&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The [[product rule]] then gives &amp;lt;math&amp;gt;f&amp;#039;(x)=g&amp;#039;(x)h(x) + g(x)h&amp;#039;(x).&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Solving for &amp;lt;math&amp;gt;h&amp;#039;(x)&amp;lt;/math&amp;gt; and substituting back for &amp;lt;math&amp;gt;h(x)&amp;lt;/math&amp;gt; gives:&lt;br /&gt;
&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;\begin{align}&lt;br /&gt;
 h&amp;#039;(x) &amp;amp;= \frac{f&amp;#039;(x) -g&amp;#039;(x)h(x)}{g(x)} \\&lt;br /&gt;
 &amp;amp;= \frac{f&amp;#039;(x) - g&amp;#039;(x)\cdot\frac{f(x)}{g(x)}}{g(x)} \\&lt;br /&gt;
 &amp;amp;= \frac{f&amp;#039;(x)g(x) - f(x)g&amp;#039;(x)}{[g(x)]^2}.&lt;br /&gt;
 \end{align}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Proof using the reciprocal rule or chain rule===&lt;br /&gt;
Let &amp;lt;math&amp;gt;h(x) = \frac{f(x)}{g(x)} = f(x) \cdot \frac{1}{g(x)}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Then the product rule gives &amp;lt;math&amp;gt;h&amp;#039;(x) = f&amp;#039;(x)\cdot\frac{1}{g(x)} + f(x) \cdot \frac{d}{dx}\left[\frac{1}{g(x)}\right].&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
To evaluate the derivative in the second term, apply the [[reciprocal rule]], or the [[power rule]] along with the [[chain rule]]:&lt;br /&gt;
&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;\frac{d}{dx}\left[\frac{1}{g(x)}\right] = -\frac{1}{g(x)^2} \cdot g&amp;#039;(x) = \frac{-g&amp;#039;(x)}{g(x)^2}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Substituting the result into the expression gives&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;\begin{align}&lt;br /&gt;
   h&amp;#039;(x) &amp;amp;= f&amp;#039;(x)\cdot\frac{1}{g(x)} + f(x)\cdot\left[\frac{-g&amp;#039;(x)}{g(x)^2}\right] \\&lt;br /&gt;
&lt;br /&gt;
   &amp;amp;= \frac{f&amp;#039;(x)}{g(x)} - \frac{f(x)g&amp;#039;(x)}{g(x)^2} \\&lt;br /&gt;
&lt;br /&gt;
   &amp;amp;= {\frac{g(x)}{g(x)}}\cdot{\frac{f&amp;#039;(x)}{g(x)}} - \frac{f(x)g&amp;#039;(x)}{g(x)^2} \\&lt;br /&gt;
&lt;br /&gt;
   &amp;amp;= \frac{f&amp;#039;(x)g(x) -  f(x)g&amp;#039;(x)}{g(x)^2}.&lt;br /&gt;
 \end{align}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Proof by logarithmic differentiation ===&lt;br /&gt;
Let &amp;lt;math&amp;gt;h(x)=\frac{f(x)}{g(x)}.&amp;lt;/math&amp;gt; Taking the [[absolute value]] and [[natural logarithm]] of both sides of the equation gives&lt;br /&gt;
&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;\ln|h(x)|=\ln\left|\frac{f(x)}{g(x)}\right|&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Applying properties of the absolute value and logarithms,&lt;br /&gt;
&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;\ln|h(x)|=\ln|f(x)|-\ln|g(x)|&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Taking the [[logarithmic derivative]] of both sides,&lt;br /&gt;
&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;\frac{h&amp;#039;(x)}{h(x)}=\frac{f&amp;#039;(x)}{f(x)}-\frac{g&amp;#039;(x)}{g(x)}&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
Solving for &amp;lt;math&amp;gt;h&amp;#039;(x)&amp;lt;/math&amp;gt; and substituting back &amp;lt;math&amp;gt;\tfrac{f(x)}{g(x)}&amp;lt;/math&amp;gt; for &amp;lt;math&amp;gt;h(x)&amp;lt;/math&amp;gt; gives:&lt;br /&gt;
&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;\begin{align}&lt;br /&gt;
h&amp;#039;(x)&amp;amp;=h(x)\left[\frac{f&amp;#039;(x)}{f(x)}-\frac{g&amp;#039;(x)}{g(x)}\right]\\&lt;br /&gt;
&amp;amp;=\frac{f(x)}{g(x)}\left[\frac{f&amp;#039;(x)}{f(x)}-\frac{g&amp;#039;(x)}{g(x)}\right]\\&lt;br /&gt;
&amp;amp;=\frac{f&amp;#039;(x)}{g(x)}-\frac{f(x)g&amp;#039;(x)}{g(x)^2}\\&lt;br /&gt;
&amp;amp;=\frac{f&amp;#039;(x)g(x)-f(x)g&amp;#039;(x)}{g(x)^2}.&lt;br /&gt;
\end{align}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
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 function|real-valued]] for positive arguments. This works because &amp;lt;math&amp;gt;\tfrac{d}{dx}(\ln|u|)=\tfrac{u&amp;#039;}{u}&amp;lt;/math&amp;gt;, which justifies taking the absolute value of the functions for logarithmic differentiation.&lt;br /&gt;
&lt;br /&gt;
==Higher order derivatives==&lt;br /&gt;
Implicit differentiation can be used to compute the {{mvar|n}}th derivative of a quotient (partially in terms of its first {{math|&amp;#039;&amp;#039;n&amp;#039;&amp;#039; &amp;amp;minus; 1}} derivatives).  For example, differentiating &amp;lt;math&amp;gt;f=gh&amp;lt;/math&amp;gt; twice (resulting in &amp;lt;math&amp;gt;f&amp;#039;&amp;#039; = g&amp;#039;&amp;#039;h + 2g&amp;#039;h&amp;#039; + gh&amp;#039;&amp;#039;&amp;lt;/math&amp;gt;) and then solving for &amp;lt;math&amp;gt;h&amp;#039;&amp;#039;&amp;lt;/math&amp;gt; yields&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;h&amp;#039;&amp;#039; = \left(\frac{f}{g}\right)&amp;#039;&amp;#039; = \frac{f&amp;#039;&amp;#039;-g&amp;#039;&amp;#039;h-2g&amp;#039;h&amp;#039;}{g}.&amp;lt;/math&amp;gt;&lt;br /&gt;
==See also==&lt;br /&gt;
&lt;br /&gt;
* {{annotated link|Chain rule}}&lt;br /&gt;
* {{annotated link|Differentiation of integrals}}&lt;br /&gt;
* {{annotated link|Differentiation rules}}&lt;br /&gt;
* {{annotated link|General Leibniz rule}}&lt;br /&gt;
* {{annotated link|Inverse functions and differentiation}}&lt;br /&gt;
* {{annotated link|Linearity of differentiation}}&lt;br /&gt;
* {{annotated link|Product rule}}&lt;br /&gt;
* {{annotated link|Reciprocal rule}}&lt;br /&gt;
* {{annotated link|Table of derivatives}}&lt;br /&gt;
* {{annotated link|Vector calculus identities}}&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
&lt;br /&gt;
{{reflist}}&lt;br /&gt;
&lt;br /&gt;
{{Calculus topics}}&lt;br /&gt;
&lt;br /&gt;
[[Category:Articles containing proofs]]&lt;br /&gt;
[[Category:Differentiation rules]]&lt;br /&gt;
[[Category:Theorems in mathematical analysis]]&lt;br /&gt;
[[Category:Theorems in calculus]]&lt;/div&gt;</summary>
		<author><name>35.139.154.158</name></author>
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