Implicit differentiation
Builds on Implicit function theoremChain rule in several variablesPartial derivative
Summary
Implicit differentiation finds the derivative of a function that an equation defines, without solving the equation for . One differentiates both sides of with the chain rule and solves the result for .
Remarks
If is of class and at the point, then , evaluated at . The implicit function theorem guarantees that exists and is differentiable. For the circle , differentiation gives . So at each point with , on both the upper and the lower arc. With several variables, gives and where . Here , , are the partial derivatives of .
Reading path
To understand this page from the ground up, read these 20 pages in order. The foundations come first.
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- no evidence level
- Euclidean space object
- Function concept
- Function composition concept
- Fréchet derivative definition
- Function of several variables concept
- Limit of a function of several variables concept
- Partial derivative concept
- Differentiable function of several variables definition
- Partial derivative definition
- Differentiable on an open set definition
- Jacobian matrix definition
- Chain rule in several variables statement
- Higher partial derivatives definition
- Iterated derivative definition
- Jacobian determinant definition
- Derivative of the inverse function statement
- C^k function characterised by continuous derivatives statement
- Inverse function theorem statement
- Implicit function theorem statement
- Implicit differentiation concept
Further reading
- Web https://en.wikipedia.org/wiki/Implicit_function, Implicit differentiation
- Web https://en.wikipedia.org/wiki/Implicit_function, Implicit function theorem
About this page
| Tag | 0QKA345AW1 |
|---|---|
| URI | m2://0QKA345AW1 |
| Aliases | implicit-derivative |
| Kind | concept |
| Writing | W0 stub |
| MSC | 26B10 |
| Uses | Implicit function theorem, Chain rule in several variables, Partial derivative |
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