Inverse/Implicit Function Theorems

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In summary, the problem involves an open ball B(0,r) centered at the origin in R^n, an open subset U of R^n, and a differentiable function f from U to R^n satisfying certain conditions. The goal is to prove that there exists an x in the open ball such that f(x) = y, given that the norm of y is less than r(1-s). This may involve using the inverse and implicit function theorems and the mean value theorem.
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Frillth
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Homework Statement



Let B=B(0,r) be an open ball of radius r centered at the origin in R^n. Suppose U is an open subset of R^n containing the closed ball of radius r centered at the origin, f is a function from U to R^n that is differentiable, f(0) = 0, and ||Df(x) - I|| <= s < 1 for all x in the open ball. Prove that if ||y|| < r(1-s), then there is an x in the open ball such that f(x) = y.

Homework Equations



I'm pretty sure that this problem uses the inverse and implicit function theorems.

The Attempt at a Solution



I'm not sure how to start this problem, and I don't really have any idea what to do with the I that is being subtracted from the derivative matrix. Can somebody please get me pointed in the right direction?
 
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  • #2
I think you're probably on the right track with the implicit function theorem. I can't offer any more help than that, but in checking "Vector Calculus" (Marsden & Tromba) last night, their section on implicit function theorem looked an awful lot like your problem. The proof used the mean value theorem, which might be where your Df(x) comes into play. I'm assuming that Df(x) is the matrix of partials of fi with respect to xj.
 

FAQ: Inverse/Implicit Function Theorems

What is the Inverse Function Theorem?

The Inverse Function Theorem is a mathematical theorem that states if a function is continuously differentiable and has a nonzero derivative at a point, then it has a local inverse function near that point. This means that the inverse function exists and is also continuously differentiable.

What is the significance of the Inverse Function Theorem?

The Inverse Function Theorem is an important tool in mathematics as it allows us to find the inverse of a function and understand the behavior of a function near a point. It is used in many fields such as calculus, geometry, and physics to solve problems and make predictions.

What is the difference between the Inverse Function Theorem and the Implicit Function Theorem?

The Inverse Function Theorem deals with finding the inverse of a function, while the Implicit Function Theorem deals with finding a relationship between two variables in a multivariable function. The Implicit Function Theorem is used when the equation cannot be explicitly solved for one variable.

How is the Inverse Function Theorem used in real-world applications?

The Inverse Function Theorem is used in many real-world applications such as engineering, economics, and computer science. It is used to solve optimization problems, find critical points, and analyze the behavior of systems.

What are the conditions for the Inverse Function Theorem to hold?

The Inverse Function Theorem holds if the function is continuously differentiable and has a nonzero derivative at a point. Additionally, the Jacobian determinant of the function must be nonzero at that point. These conditions ensure that the inverse function exists and is well-behaved near that point.

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