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In [[mathematics]], the '''inverse function theorem''' gives sufficient conditions for a [[vector-valued function]] to be [[invertible]] on an [[open region]] containing a point in its ___domain. The theorem can be generalized to maps defined on [[manifold|manifolds]], and on infinite dimensional [[Banach space]]s. Loosely, a ''[[smooth function|C<sup>1</sup>]]'' function ''F'' is invertible at a point ''p'' if its [[Jacobian]] ''J<sub>F</sub>(p)'' is invertible.
==Statement of the theorem==
More precisely, the theorem states that if the [[total derivative]] of a [[continuously differentiable]] function ''F'' defined from an open set U of '''R'''<sup>''n''</sup> into '''R'''<sup>''n''</sup> is invertible at a point ''p'' (i.e., the [[Jacobian]] determinant of ''F'' at ''p'' is nonzero), then F is an invertible function near ''p''. That is, an [[inverse function]] to ''F'' exists in some [[neighbourhood (mathematics)|neighborhood]] of ''F''(''p''). Moreover, the inverse function ''F<sup>-1</sup>'' is also continuously differentiable. In the infinite dimensional case it is required that the [[Frechet derivative]] have a [[bounded linear map|bounded]] inverse near ''p''.
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The conclusion of the theorem is that the system of ''n'' equations ''y''<sub>''i''</sub> = ''F''<sub>''j''</sub>(''x''<sub>1</sub>,...,''x''<sub>''n''</sub>) can be solved for ''x''<sub>1</sub>,...,''x''<sub>''n''</sub> in terms of ''y''<sub>1</sub>,...,''y''<sub>''n''</sub> if we restrict ''x'' and ''y'' to small enough neighborhoods of ''p''.
The inverse function theorem can be generalized to differentiable maps between [[differentiable manifold]]s. In this context the theorem states that for a differentiable map ''F'' : ''M'' → ''N'', if the [[pushforward (differential)|derivative]] of ''F'',▼
:(''DF'')<sub>''p''</sub> : T<sub>''p''</sub>''M'' → T<sub>''F''(''p'')</sub>''N''▼
is a linear isomorphism at a point ''p'' in ''M'' then there exists an open neighborhood ''U'' of ''p'' such that▼
:''F''|<sub>''U''</sub> : ''U'' → ''F''(''U'')▼
is a [[diffeomorphism]]. Note that this implies that ''M'' and ''N'' must have the same dimension.▼
If the derivative of ''F'' is an isomorphism at all points ''p'' in ''M'' then the map ''F'' is a [[local diffeomorphism]].▼
==Example==
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The determinant e<sup>2x</sup> is nonzero everywhere. By the theorem, for every point ''p'' in '''R'''<sup>2</sup>, there exists a neighborhood about ''p'' over which ''F'' is invertible.
==Generalizations==
===Manifolds===
▲The inverse function theorem can be generalized to differentiable maps between [[differentiable manifold]]s. In this context the theorem states that for a differentiable map ''F'' : ''M'' → ''N'', if the [[pushforward (differential)|derivative]] of ''F'',
▲is a [[linear isomorphism]] at a point ''p'' in ''M'' then there exists an open neighborhood ''U'' of ''p'' such that
▲:''F''|<sub>''U''</sub> : ''U'' → ''F''(''U'')
▲is a [[diffeomorphism]]. Note that this implies that ''M'' and ''N'' must have the same dimension.
▲If the derivative of ''F'' is an isomorphism at all points ''p'' in ''M'' then the map ''F'' is a [[local diffeomorphism]].
===Banach spaces===
The inverse function theorem can also be generalized to differentiable maps between [[Banach space]]s. Let ''X'' and ''Y'' be Banach spaces and ''U'' an open neighbourhood of the origin in ''X''. Let ''F'' : ''U'' → ''Y'' be continuously differentiable and assume that the derivative (d''F'')<sub>0</sub> : ''X'' → ''Y'' of ''F'' at 0 is a [[bounded linear map|bounded]] linear isomorphism of ''X'' onto ''Y''. Then there exists an open neighbourhood ''V'' of ''F''(0) in ''Y'' and a continuously differentiable map ''G'' : ''V'' → ''X'' such that ''F''(''G''(''y'')) = ''y'' for all ''y'' in ''V''. Moreover, ''G''(''y'') is the only sufficiently small solution ''x'' of the equation ''F''(''x'') = ''y''.
==References==
* {{cite journal
| last = Nijenhuis
| first = Albert
|authorlink= Albert Nijenhuis
| title = Strong derivatives and inverse mappings
| journal = [[The American Mathematical Monthly|Amer. Math. Monthly]]
| volume = 81
| year = 1974
| pages = 969–980
}}
* {{cite book
| author = Renardy, Michael and Rogers, Robert C.
| title = An introduction to partial differential equations
| series = Texts in Applied Mathematics 13
| edition = Second edition
|publisher = Springer-Verlag
| ___location = New York
| year = 2004
| pages = 337–338
| id = ISBN 0-387-00444-0
}}
* {{cite book
| last = Rudin
| first = Walter
|authorlink= Walter Rudin
| title = Principles of mathematical analysis
| edition = Third edition
| series = International Series in Pure and Applied Mathematics
|publisher = McGraw-Hill Book Co.
| ___location = New York
| year = 1976
| pages = 221–223
}}
[[Category:Multivariable calculus]]
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