About the implicit function theorem

In summary, the implicit function theorem states that given a C^1 function F:R^n x R^m --> R^m and a condition on the partial derivatives at a point (x_0,y_0), we can implicitly define a function f(x)=y in a neighborhood of x_0. If we want to express the last k variable in terms of the others, it is possible if k<m. However, if k>m, there may not be a unique solution and the uniqueness property of the theorem fails. This is a standard version of the theorem and can be found in calculus books. The theorem also uses the fact that a smooth function whose derivative has maximal rank at a point also has maximal rank near that point.
  • #1
quasar987
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In the implicit function theorem, we take a C^1 function F:R^n x R^m --> R^m and given a condition on the partial derivatives at a point (x_0,y_0) such that F(x_0,y_0)=0, we conclude that the relation F(x,y)=0 implicitely defines a function f(x)=y in a nbh of x_0. I.e. the last m variables are determined by the first n in a nbh of x_0.

What if I want to express the last k variable (where k differs from m) in terms of the others?

Is this impossible?
 
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  • #2
Interesting.. I don't know of any results and it's not immediately obvious..
I managed to sketch out the following partial results, but for more perhaps analyse the proof of the original theorem?

If k<m then you get a continuous function \pi\circ F:R^n+m-->R^k where \pi is the canonical projection function R^m-->R^k. The corresponding Jacobian is the same as the original but with some rows removed, so its inverse is the same as the original inverse with some columns removed. It follows that there exists a continuous function f:R^n+m-k-->R^k defined on some appropriate neighbourhood by the implicit function theorem.

Suppose k>m and that f is defined on the simply connected neighbourhood U of x_0 in R^n. Take the projection of U onto the first j:=n+m-k coordinates - call it V_1 - and the projection of U onto the last i=k-m coordinates - call it V_2.
If there exists any continuous function g:V_1-->V_2 (and this is not a trivial requirement when j>i, may be of use in constructing a counterexample) then (p,g(p)) is an element of U for all p in V_1 and y:=f(p,g(p)) is an element of R^m. We have that F( (p,g(p)),y )=0 for all p in V_1, so the function h:R^j-->R^k defined by h(p)=(g(p),y) is then the one required.

As an illustrative example take the unit sphere in R^3; given a point in the x-y plane near (0,0) we get a point on the 'northern hemisphere', this induces the continuous map f:R^2-->R. Take any continuous function g:[-\delta,\delta]-->[-\epsilon,\epsilon] from the x-axis to the y axis. Then we get a curve in the plane defined by v(p)=(p,g(p)) near zero and a corresponding curve through (0,0,1) defined by (v,f(v)) on the sphere. The map h:R-->R^2 defined by h(p)=(g(p),f(y)) is then as required. Note well that the choices of g give parametrizations of curves on the sphere through (0,0,1) - of which there are many, so the uniqueness property of the original implicit function theorem fails..

sorry for the long post!
 
  • #3
yes this is a standard version of the theorem, the theorem says if the derivative has locally constant rank k near a, then the function looks locally, smoothly, like projection on some k variables.

look in a good calculus book, like dieudonne, foundations of modern analysis, under the "rank theorem".the usual theorem uses the fact that a smooth function whose derivative has maximal rank at a, also has maximal rank near a, so the locally constant rank hypothesis is automatic in that case.
 

1. What is the implicit function theorem?

The implicit function theorem is a mathematical tool used in multivariable calculus to determine if a system of equations can be solved for one or more of its variables in terms of the remaining variables. It states that if a system of equations meets certain criteria, then it is possible to express one or more of the variables in terms of the others.

2. What are the criteria for the implicit function theorem to apply?

The criteria for the implicit function theorem to apply are that the system of equations must be continuously differentiable and have the same number of equations as variables. Additionally, the partial derivatives of the equations with respect to the variable(s) being solved for must not be equal to zero at the point of interest.

3. How is the implicit function theorem used in real-world applications?

The implicit function theorem has applications in various fields such as economics, physics, and engineering. It is used to model and analyze complex systems and to make predictions about their behavior. For example, it can be used to find solutions to optimization problems or to study the relationship between multiple variables in a system.

4. What is the difference between the implicit function theorem and the inverse function theorem?

While both theorems deal with solving equations, the implicit function theorem is used when the equations are not explicitly solved for a particular variable, while the inverse function theorem is used when the equations are already solved for a variable. In other words, the implicit function theorem is used to find a function, while the inverse function theorem is used to find the inverse of a function.

5. Are there any limitations or drawbacks to using the implicit function theorem?

One limitation of the implicit function theorem is that it can only be applied at a specific point, and the results may not hold for other points in the system. Additionally, the theorem requires the equations to be continuously differentiable, which may not always be the case in real-world situations. Finally, the implicit function theorem may only provide an existence result, but not a unique solution. Other methods may be needed to determine a unique solution.

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