Implicit function theorem for several complex variables

In summary, the conversation discusses the proof of a statement involving analytic functions in a neighborhood of a given point. It is shown that the equations have a unique analytic solution in a neighborhood of another point, given certain conditions. It is also mentioned that the usual implicit function theorem requires a certain condition to be met before it can be applied. This condition involves proving that certain equations imply the invertibility of a submatrix, which is necessary to solve for a vector of coefficients. This step is not necessary if the Jacobian determinant is known to be nonzero.
  • #1
Kalidor
68
0
This is the statement, in case you're not familiar with it.
Let ## f_j(w,x), \; j=1, \ldots, m ## be analytic functions of ## (w,z) = (w_1, \ldots, w_m,z_1,\ldots,z_n) ## in a neighborhood of ##w^0,z^0## in ##\mathbb{C}^m \times \mathbb{C}^n ## and assume that ##f_j(w^0,z^0)=0, \, j=1,\ldots,m ## and that [tex] \det \{\frac{\partial f_j}{\partial w_k}\}^m_{j,k=1} \neq 0
[/tex]
at ##(w^0,z^0)##.
Then the equations ##f_j(w,z)=0 \; j=1,\ldots,m ##, have a uniquely determined analytic solution ## w(z) ## in a neighborhood of ##z_0 ##, such that ##w(z_0) = w_0##.
In the proof of this statement I find in Hormander's book he claims that in order to apply the usual implicit function theorem one must first prove that the equations ##df_j = 0## and ##dz_k=0## for ##j =1, \ldots, m ## and ##k = 1, \ldots, n## imply ##dw_j = 0## for ## j = 1, \ldots, m##. I don't understand what this condition means and why it is needed.
 
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  • #2
I can't edit anymore, but of course the x in in ## f_j(w,x) ## is a typo. It should read ## f_j(w,z). ##
 
  • #3
you have an Mx(M+N) system. if the last N columns are all zero, then the first M columns are linearly independent if the first M rows are. you need an invertible MxM submatrix to solve for an M-vector of coefficients from this system. this an intermediate step and not necessary if one already knows that a nonzero jacobian determinant implies invertibility. the jacobian submatrix is not invertible if its columns are not linearly independent. hopefully this isn't too abstract.
 

1. What is the Implicit Function Theorem for several complex variables?

The Implicit Function Theorem for several complex variables is a mathematical theorem that states the conditions under which a system of equations can be solved for a subset of variables in terms of the remaining variables. In simpler terms, it provides a way to find a solution to a system of equations when some variables are not explicitly given.

2. What are the main assumptions and conditions of the Implicit Function Theorem for several complex variables?

The main assumptions and conditions of the Implicit Function Theorem for several complex variables include the existence of a continuously differentiable function, non-singularity of the Jacobian matrix, and the invertibility of the linear part of the system. Additionally, the system must have a unique solution for each set of given parameters.

3. How is the Implicit Function Theorem for several complex variables different from the single-variable case?

The Implicit Function Theorem for several complex variables is a generalization of the single-variable case. In the single-variable case, the system of equations has only one variable and one equation, while in the several complex variables case, there can be multiple variables and multiple equations. The theorem still holds, but the conditions and assumptions are more complex.

4. What are the applications of the Implicit Function Theorem for several complex variables?

The Implicit Function Theorem for several complex variables has many applications in mathematics, physics, and engineering. It is used to solve systems of nonlinear equations, study critical points and bifurcations in dynamical systems, and analyze stability in control systems. It is also used in differential geometry to study complex manifolds.

5. Are there any limitations of the Implicit Function Theorem for several complex variables?

While the Implicit Function Theorem for several complex variables is a powerful tool, it does have some limitations. It can only be applied to systems of equations that meet the necessary conditions and assumptions. Additionally, it may not always provide an explicit solution and may require further analysis to find a solution. It also does not guarantee the uniqueness of the solution.

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