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| | Pure Leibniz notation || Suppose <math>u</math> and <math>v</math> are both variables functionally dependent on <math>x</math>. Then <math>\frac{d^n(uv)}{(dx)^n} = \sum_{k=0}^n \binom{n}{k} \frac{d^ku}{(dx)^k}\frac{d^{n-k}v}{(dx)^{n-k}}</math> | | | Pure Leibniz notation || Suppose <math>u</math> and <math>v</math> are both variables functionally dependent on <math>x</math>. Then <math>\frac{d^n(uv)}{(dx)^n} = \sum_{k=0}^n \binom{n}{k} \frac{d^ku}{(dx)^k}\frac{d^{n-k}v}{(dx)^{n-k}}</math> |
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| | ===One-sided version=== |
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| | There are analogues of each of the statements with one-sided derivatives. {{fillin}} |
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| ==Particular cases== | | ==Particular cases== |
Revision as of 16:42, 15 October 2011
This article is about a differentiation rule, i.e., a rule for differentiating a function expressed in terms of other functions whose derivatives are known.
View other differentiation rules
Statement
Version type |
Statement
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specific point, named functions |
This states that if and are times differentiable functions at , then the pointwise product is also times differentiable at , and we have:
![{\displaystyle {\frac {d^{n}}{dx^{n}}}[f(x)g(x)]|_{x=x_{0}}=\sum _{k=0}^{n}{\binom {n}{k}}f^{(k)}(x_{0})g^{(n-k)}(x_{0})}](https://wikimedia.org/api/rest_v1/media/math/render/svg/7e6d3aca17fcfbc18dd59cefde74cb4b1aa9c932) Here, denotes the derivative of (with , etc.), denotes the derivative of , and is the binomial coefficient. These are the same as the coefficients that appear in the expansion of .
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generic point, named functions, point notation |
If and are functions of one variable, the following holds wherever the right side makes sense:
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generic point, named functions, point-free notation |
If and are functions of one variable, the following holds wherever the right side makes sense:
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Pure Leibniz notation |
Suppose and are both variables functionally dependent on . Then
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One-sided version
There are analogues of each of the statements with one-sided derivatives. Fill this in later
Particular cases
Value of  |
Formula for
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(this is the usual product rule for differentiation).
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