Inverse functions | Theorems in calculus | Theorems in real analysis | Differential topology | Multivariable calculus

Inverse function theorem

In mathematics, specifically differential calculus, the inverse function theorem gives a sufficient condition for a function to be invertible in a neighborhood of a point in its domain: namely, that its derivative is continuous and non-zero at the point. The theorem also gives a formula for the derivative of the inverse function.In multivariable calculus, this theorem can be generalized to any continuously differentiable, vector-valued function whose Jacobian determinant is nonzero at a point in its domain, giving a formula for the Jacobian matrix of the inverse. There are also versions of the inverse function theorem for complex holomorphic functions, for differentiable maps between manifolds, for differentiable functions between Banach spaces, and so forth. The theorem was first established by Picard and Goursat using an iterative scheme: the basic idea is to prove a fixed point theorem using the contraction mapping theorem. (Wikipedia).

Inverse function theorem
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This video provides two examples of how to determine the inverse function of a one-to-one function. A graph is used to verify the inverse function was found correctly. Library: http://mathispower4u.com Search: http://mathispower4u.wordpress.com

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Related pages

Inverse function | Vector-valued function | Jacobian matrix and determinant | Derivative | Chain rule | Banach fixed-point theorem | Differential calculus | Cauchy sequence | Multivariable calculus | Domain of a function | Banach space | Inverse function theorem | Geometric series | Jean Dieudonné | Determinant | Extreme value theorem | Picard–Lindelöf theorem | Implicit function theorem | Serge Lang | Local diffeomorphism | Differentiable manifold | Neighbourhood (mathematics) | Variable (mathematics) | Banach manifold | Adjugate matrix | Henri Cartan | Mathematics | Function (mathematics) | Diffeomorphism | Édouard Goursat | Pushforward (differential) | Critical point (mathematics) | Émile Picard | Formula | Lars Hörmander | Holomorphic function | Nash–Moser theorem | Rank (differential topology) | Compact space | Manifold | Effective method | Contraction mapping | Rank (linear algebra) | Newton's method | Choice function | Jacobian conjecture | Total derivative