Can You Apply the Implicit Function Theorem Correctly?

In summary, "Can You Apply the Implicit Function Theorem Correctly?" discusses the conditions and proper application of the Implicit Function Theorem in mathematical analysis. It emphasizes the need for a thorough understanding of the theorem's prerequisites, such as the continuity and differentiability of functions involved, as well as the importance of verifying the conditions before applying the theorem to ensure valid results. The article also highlights common pitfalls and misconceptions that can lead to incorrect applications.
  • #1
Lambda96
206
72
Homework Statement
see post
Relevant Equations
Implicit function theorem
Hi,

I'm not sure if I've understood the task here correctly

Bildschirmfoto 2024-06-30 um 22.26.21.png


For the Implicit function theorem, ##F(x,y)=0## must hold for all ##(x,y)## for which ##f(x,y)=f(x_0,y_0)## it follows that ##f(x,y)-f(x_0,y_0)=0## so I can apply the Implicit function theorem for these ##(x,y)##.

Then I can write ##x_0y_0e^{-x_0-y_0}=xye^{-x-y}## then I would have to solve the equation for ##y## and get the relation y=f(x).


This is exactly where I have my problems, unfortunately, I don't know how to solve the equation for ##y##.
 
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  • #2
Try to apply the theorem literally. We start with the function ##F=f(x,y)-f(x_0,y_0)\, : \,\mathbb{R}^2\rightarrow \mathbb{R}.## Thus
$$
\dfrac{\partial F}{\partial x} =\dfrac{\partial f}{\partial x} = (1-x)ye^{-x-y}\, , \,\dfrac{\partial F}{\partial y}=(1-y)xe^{-x-y}
$$
Now ##F(x_0,y_0)=0## and ##\dfrac{\partial F}{\partial y}(x_0,y_0)=(1-y_0)x_0e^{-x_0-y_0}\neq 0## if ##x_0\neq 0 ## and ##y_0\neq 1.## What does the theorem say in this case? And what does it say about points on the ##x-##axis, except the origin?
 
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  • #3
My understanding was that you need to have an invertible Jacobian at a point for F to have a local inverse for F(x1,x2,..,xn)=0. Not aware of this version.
 
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  • #4
WWGD said:
My understanding was that you need to have an invertible Jacobian at a point for F to have a local inverse for F(x1,x2,..,xn)=0. Not aware of this version.
I believe that the conditions described in @fresh_42's post belong to the simplified 2-D case of the multivariate theorem. Wiki link
 
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  • #5
Thank you fresh_42, WGD and docnet for your help 👍 👍 👍


I think I have understood it now. In order for the Implicit function theorem to be applied, two things must be true

$$1) F(x_0, y_0)=0$$
$$2) \frac{\partial F(x_0, y_0)}{\partial y} \neq 0$$


The first condition already applies, since for all elements (x,y) of the set ##X_{x_0,y_0}## ##f(x,y)=f(x_0,y_0) \rightarrow f(x,y)-f(x_0,y_0)=0## applies according to the task


As you have already written, fresh_42 the following ##\frac{\partial F(x_0,y_0)}{\partial y}=(1-y_0)x_0e^{-x_0-y_0}## applies except for the cases ##x_0=0## and ##y_0=1##.


Since the two operations are fulfilled except for the points ##(0,0)## and ##(1,1)##, there exists a function ##g## for which all points in the neighbourhood of ##(x_0,y_0)## can be written as follows ##y=g(x)##


So the Implicit function theorem tells me that a function ##g## exists, but I can't get the function using the Implicit function theorem.
 
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  • #6
Lambda96 said:
Thank you fresh_42, WGD and docnet for your help 👍 👍 👍


I think I have understood it now. In order for the Implicit function theorem to be applied, two things must be true

$$1) F(x_0, y_0)=0$$
$$2) \frac{\partial F(x_0, y_0)}{\partial y} \neq 0$$


The first condition already applies, since for all elements (x,y) of the set ##X_{x_0,y_0}## ##f(x,y)=f(x_0,y_0) \rightarrow f(x,y)-f(x_0,y_0)=0## applies according to the task


As you have already written, fresh_42 the following ##\frac{\partial F(x_0,y_0)}{\partial y}=(1-y_0)x_0e^{-x_0-y_0}## applies except for the cases ##x_0=0## and ##y_0=1##.


Since the two operations are fulfilled except for the points ##(0,0)## and ##(1,1)##, there exists a function ##g## for which all points in the neighbourhood of ##(x_0,y_0)## can be written as follows ##y=g(x)##


So the Implicit function theorem tells me that a function ##g## exists, but I can't get the function using the Implicit function theorem.
The Lambert W function ##f(w)=we^w## is related. It is not really a function, only locally a.e. But you cannot write it as ##w=g(f(w)).## Here we have ##ye^{-y}=x_0y_0e^{-x_0-y_0}\cdot \dfrac{e^x}{x}=:g(x)## and like the Lambert W function, there is no explicit formula ##y=\ldots ##
 
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  • #7
That is a good attempt! But I the task is not complete or correct as you wrote it yet, and here is a hint: ##2)## should be a statement involving ##\frac{\partial F(x_0, y_0)}{\partial y}\neq 0## and involving ##\frac{\partial F(x_0, y_0)}{\partial x}\neq 0## linked by the proper conjunction. Think through why that is necessary to complete the task.

If I know how nitpicky TAs can be, they would likely rip it apart (I'm sorry to say).
 

FAQ: Can You Apply the Implicit Function Theorem Correctly?

What is the Implicit Function Theorem?

The Implicit Function Theorem is a fundamental result in calculus and differential topology that provides conditions under which a relation defined by an equation can be expressed as a function. Specifically, it states that if you have a continuous function F(x, y) defined in a neighborhood of a point (a, b) such that F(a, b) = 0 and the partial derivative with respect to y is non-zero at that point, then there exists a unique continuous function y = g(x) in a neighborhood of a such that F(x, g(x)) = 0.

What are the conditions required to apply the Implicit Function Theorem?

To apply the Implicit Function Theorem, you need to satisfy several conditions: First, the function F(x, y) must be continuously differentiable (i.e., it must have continuous partial derivatives) in a neighborhood around the point of interest. Second, the function must satisfy F(a, b) = 0 at the point (a, b). Lastly, the partial derivative of F with respect to y, denoted as ∂F/∂y, must be non-zero at the point (a, b).

How do you know if the conditions are met?

To verify the conditions for the Implicit Function Theorem, you should first check that F is continuously differentiable in the region of interest. Then, compute F(a, b) to ensure it equals zero. Finally, calculate the partial derivative ∂F/∂y at (a, b) and confirm that it is non-zero. If all these conditions hold, you can apply the theorem.

What does it mean if the conditions are not satisfied?

If the conditions of the Implicit Function Theorem are not satisfied, you cannot guarantee the existence of a function y = g(x) that implicitly defines y in terms of x. This means that the relationship described by the equation may not be well-defined or may not be locally solvable around the point (a, b). In such cases, alternative methods may be needed to analyze the relationship.

Can the Implicit Function Theorem be applied in higher dimensions?

Yes, the Implicit Function Theorem can be extended to higher dimensions. In this case, if you have a function F: ℝ^(n+m) → ℝ^m and you want to solve F(x, y) = 0 for y as a function of x, the theorem requires that the Jacobian matrix of F with respect to y is invertible at the point of interest. The conditions are similar, but the theorem applies to systems of equations rather than a single equation.

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