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Quotient rule

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Topics in Calculus

Fundamental theorem
Limits of functions
Continuity
Mean value theorem

Differentiation 

Product rule
Quotient rule
Chain rule
Change of variables
Implicit differentiation
Taylor's theorem
Related rates
Identities

In calculus, the quotient rule is a method of finding the derivative of a function that is the quotient of two other functions for which derivatives exist.

If the function one wishes to differentiate, f(x), can be written as

f(x) = \frac{g(x)}{h(x)}

and h(x)0, then the rule states that the derivative of g(x) / h(x) is equal to:

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

Or, more precisely, if all x in some open set containing the number a satisfy h(x)0; and g'(a) and h'(a) both exist; then, f'(a) exists as well and:

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

Contents

[edit] Examples

The derivative of (4x − 2) / (x2 + 1) is:

\begin{align}\frac{d}{dx}\left[\frac{(4x - 2)}{x^2 + 1}\right] &= \frac{(x^2 + 1)(4) - (4x - 2)(2x)}{(x^2 + 1)^2}\\&= \frac{(4x^2 + 4) - (8x^2 - 4x)}{(x^2 + 1)^2} &= \frac{-4x^2 + 4x + 4}{(x^2 + 1)^2}\end{align}

In the example above, the choices

g(x) = 4x − 2
h(x) = x2 + 1

were made. Analogously, the derivative of sin(x) / x2 (when x ≠ 0) is:

\frac{\cos(x) x^2 - \sin(x)2x}{x^4}


Another example is:

f(x) = \frac{2x^2}{x^3}

whereas g(x) = 2x2 and h(x) = x3, and g'(x) = 4x and h'(x) = 3x2.

The derivative of f(x) is determined as follows:

f'(x) = \frac {\left(4x \cdot x^3 \right) - \left(2x^2 \cdot 3x^2 \right)} {\left(x^3\right)^2} = \frac{4x^4 - 6x^4}{x^6} = \frac{-2x^4}{x^6} = -\frac{2}{x^2}

This can be checked by using laws of exponents and the power rule:

f(x) = \frac{2x^2}{x^3} = \frac{2}{x} = 2x^{-1}
f'(x) = -2x^{-2} = -\frac{2}{x^2}

[edit] Limitations

The quotient rule is not useful at points where either the numerator or denominator are not differentiable; it's possible that the quotient may be differentiable at such points. For example, consider the function:

f(x) = \frac{|x|+1}{|x|+1},

where |x| denotes the absolute value of x. This is of course simply the function f(x) = 1, so it is differentiable everywhere and in particular f'(0) = 0. If we try to use the quotient rule to compute f'(0), however, an undefined value will result, since |x| is nondifferentiable at x = 0.

[edit] Proofs

[edit] From Newton's difference quotient

Suppose f(x) = g(x) / h(x) where h(x) \neq 0 and g and h are differentiable.

f'(x) = \lim_{\Delta x \to 0} \frac{f(x + \Delta x)- f(x)}{\Delta x} = \lim_{\Delta x \to 0} \frac{\frac{g(x + \Delta x)}{h(x + \Delta x)} - \frac{g(x)}{h(x)}}{\Delta x}

We pull out the 1 / Δx and combine the fractions in the numerator:

= \lim_{\Delta x \to 0} \frac{1}{\Delta x} \left(\frac{g(x+\Delta x)h(x)-g(x)h(x+\Delta x)}{h(x)h(x+\Delta x)} \right)

Adding and subtracting g(x)h(x) in the numerator:

= \lim_{\Delta x \to 0} \frac{1}{\Delta x} \left( \frac{(g(x+\Delta x)h(x)-g(x)h(x)-g(x)h(x+\Delta x)+g(x)h(x)}{h(x)h(x+\Delta x)} \right)

We factor this and multiply the 1 / Δx through the numerator:

= \lim_{\Delta x \to 0} \frac{\frac{g(x+\Delta x)-g(x)}{\Delta x}h(x)-g(x)\frac{h(x+\Delta x)-h(x)}{\Delta x}}{h(x)h(x+\Delta x)}

Now we move the limit through:

= \frac{\lim_{\Delta x \to 0} \left(\frac{g(x+\Delta x)-g(x)}{\Delta x}\right)h(x) - g(x) \lim_{\Delta x \to 0} \left(\frac{h(x+\Delta x)-h(x)}{\Delta x}\right)}{h(x)h(\lim_{\Delta x \to 0} (x+\Delta x))}

By the definition of the difference quotient, the limits in the numerator are derivatives, so we have:

= \frac{g'(x)h(x) - g(x)h'(x)}{[h(x)]^2}

[edit] Using the Chain Rule

Consider the identity

 \frac{u}{v}\; =\; \frac{1}{4}\left[ \left( u+\frac{1}{v} \right)^{2}-\; \left( u-\frac{1}{v} \right)^{2} \right]

Then

\frac{d\left( \frac{u}{v} \right)}{dx}\; =\; \frac{d}{dx}\frac{1}{4}\left[ \left( u+\frac{1}{v} \right)^{2}-\; \left( u-\frac{1}{v} \right)^{2} \right]

Leading to

\frac{d\left( \frac{u}{v} \right)}{dx}\; =\; \frac{1}{4}\left[ 2\left( u+\frac{1}{v} \right)\left( \frac{du}{dx}-\frac{dv}{v^{2}dx} \right)-\; 2\left( u-\frac{1}{v} \right)\left( \frac{du}{dx}+\frac{dv}{v^{2}dx} \right) \right]

Multiplying out leads to

\frac{d\left( \frac{u}{v} \right)}{dx}\; =\; \frac{1}{4}\left[ \frac{4}{v}\frac{du}{dx}-\frac{4u}{v^{2}}\frac{dv}{dx} \right]

Finally, taking a common denominator leaves us with the expected result

\frac{d\left( \frac{u}{v} \right)}{dx}\; =\; \frac{\left[ v\frac{du}{dx}-u\frac{dv}{dx} \right]}{v^{2}}

[edit] By total differentials

An even more elegant proof is a consequence of the law about total differentials, which states that the total differential,

dF = \frac{\partial F}{\partial x} dx + \frac{\partial F}{\partial y} dy + \frac{\partial F}{\partial z} dz + ...

of any function in any set of quantities is decomposable in this way, no matter what the independent variables in a function are (i.e., no matter which variables are taken so that they may not be expressed as functions of other variables). This means that, if N and D are both functions of an independent variable x, and F = N(x) / D(x), then it must be true both that

(*) dF = \frac{\partial F}{\partial x}dx

and that

dF = \frac{\partial F}{\partial N}dN + \frac{\partial F}{\partial D}dD.

But we know that dN = N'(x)dx and dD = D'(x)dx.

Substituting and setting these two total differentials equal to one another (since they represent limits which we can manipulate), we obtain the equation

\frac{\partial F}{\partial x} dx = \frac{\partial F}{\partial N}N'(x) dx + \frac{\partial F}{\partial D}D'(x) dx

which requires that

(#) \frac{\partial F}{\partial x} = \frac{\partial F}{\partial N}N'(x) + \frac{\partial F}{\partial D}D'(x).

We compute the partials on the right:

\frac{\partial F}{\partial N} = \frac{\partial (N/D)}{\partial N} = \frac{1}{D};
\frac{\partial F}{\partial D} = \frac{\partial (N/D)}{\partial D} = -\frac{N}{D^2}.

If we substitute them into (#),

\frac{\partial F}{\partial x} =  \frac{N'(x)}{D(x)} - \frac{N(x) D'(x)}{D(x)^2}
\frac{\partial F}{\partial x} =  \frac{D(x)N'(x)}{D(x)^2} - \frac{N(x) D'(x)}{D(x)^2}

which gives us the quotient rule, since, by (*),

\frac{dF}{dx} = \frac{\partial F}{\partial x}.

This proof, of course, is just another, more systematic (even if outmoded) way of proving the theorem in terms of limits, and is therefore equivalent to the first proof above - and even reduces to it, if you make the right substitutions in the right places. Students of multivariable calculus will recognize it as one of the chain rules for functions of multiple variables.

[edit] Mnemonic

It is often memorized as a rhyme type song. "lo-dee-hi less hi-dee-lo, draw the line and square below"; Lo being the denominator, Hi being the numerator and "dee" being the derivative. Another variation to this mnemonic is given when the quotient is written with the numerator as Hi the denominator as Ho: "Ho-dee-Hi minus Hi-dee-Ho all over Ho-Ho."[citation needed] A third variation is "Low-dee-high minus high-dee-low, all over the square of what's below". A fourth variation, similar to the first is "bottom d top minus top d bottom over the bottom squared". Here top is the numerator, bottom the denominator, and d meaning derivative. Yet another variation is "Lo-dee-Hi minus Hi-dee-Lo, square the bottom and away we go" where "Hi" is the numerator and "dee" is the variation.

Often, though, people will remember that the quotient rule is just like the product rule except for two things; the whole thing is divided by the square of the function from the denominator and the addition in the product rule is now changed to subtraction. Most people remember that the product rule is "the derivative of one function times the original of the other plus vice versa," and since addition is commutative, the order of the addends does not matter. However, with the quotient rule, the fact that subtraction is not commutative now makes that order matter very much, and remembering that order is usually the "sticking point" for most people. Thinking of the numerator function as coming first, with the denominator function following it, yields the following mnemonic: derivative of the numerator times original of the denominator minus original of the numerator times derivative of the denominator, or derivative times original minus original times derivative, or do - od, or dood.

[edit] See also

[edit] External links

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