Can the Inverse Function Theorem Be Applied to Complex Multivariable Functions?

In summary, the conversation discusses the application of the inverse function theorem to functions of the form f(x,y)=-xye(-(x^2+y^2)/2) or f(x,y)=2x^2+y^2-xy-7y. It is concluded that the inverse function theorem only applies to functions between euclidean spaces of the same dimension, but a special case of the rank theorem can be used to express the map in a coordinate system and give a structure theorem for the original function.
  • #1
DuskStar
2
0
I've had a read through some of the topics about this but I am struggling to understand how to apply it.

(1) Is it possible to apply the inverse function theorem to a function like f(x,y)=-xye(-(x^2+y^2)/2) or f(x,y)=2x^2+y^2-xy-7y

(2) I am confused about how to compute the jacobian matrix when differentating only gives two terms and my matrix needs four?

Any help would be great
 
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  • #2
What "inverse function theorem" are you referring to? The "inverse functions theorems" I know are from Rn to Rn. Here, your function is from R2 to R. An "inverse" would be from R to R2. I don't see any reasonable way to do that!
 
  • #3
In that case I am completely confused. I was just given these examples and told to show whether they were invertible or not by the 'inverse function theorem'. Is it possible for someone to post any example where I could apply the inverse function theorem?
 
  • #4
You originally said the question was " Is it possible to apply the inverse function theorem to a function like f(x,y)=-xye(-(x^2+y^2)/2) or f(x,y)=2x^2+y^2-xy-7y?"

Possibly the answer is "no"!
 
  • #5
the inverse function theorem, as stated, applies only to functions between euclidean spaces of the same dimension, since the hypothesis, that the jacobian matrix be invertible, is otherwise false.

however it is a special case of the "rank theorem', which says, also in a special case, that if the rank of the jacobian matrix equals the dimension of the target, say n, (and the map is smooth), then in some smooth coordinate system, the map becomes projection on the last n coordinates.

so in this example of a map from R^2 to R, near any point where the partials are not both zero, the map can be expressed in some coordinate system as (x,y)-->y.

this theorem, also called the implicit function theorem, can be proved as a corollary of the inverse function theorem, by augmenting the given map as (f(x,y), x), or f(x,y),y), depending on which partial is non zero.

so in some sense the inverse function theorem can be applied to this situation. the result however gives that some auxiliary function is invertible, not the original f. for the original f it gives a structure theorem.
 

FAQ: Can the Inverse Function Theorem Be Applied to Complex Multivariable Functions?

What is the Inverse Function Theorem?

The Inverse Function Theorem is a mathematical theorem that states that if a function is differentiable and has a non-zero derivative at a point, then it has a local inverse function near that point.

Why is the Inverse Function Theorem important?

The Inverse Function Theorem is important because it allows us to find the inverse of a function, which is useful in solving many problems in mathematics and physics. It also helps us understand the behavior of functions and their derivatives.

How is the Inverse Function Theorem used in real life?

The Inverse Function Theorem has many applications in real life, such as in optimization problems, economics, and engineering. It is also used in the development of computer algorithms for solving complex mathematical problems.

Can the Inverse Function Theorem be extended to multivariable functions?

Yes, the Inverse Function Theorem can be extended to multivariable functions. In this case, the theorem states that if a function is differentiable and has a non-zero Jacobian determinant at a point, then it has a local inverse function near that point.

Are there any limitations to the Inverse Function Theorem?

Yes, the Inverse Function Theorem has some limitations. It only applies to functions that are differentiable, and it also requires the derivative to be non-zero at the point of interest. Additionally, it is only applicable in a local neighborhood of the point, not the entire domain of the function.

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