Implicit function theorem part 2

In summary, "Implicit function theorem part 2" delves into the conditions under which a function defined implicitly can be expressed as an explicit function of its variables. It discusses the necessary criteria, such as the continuity of the function and the non-vanishing of the partial derivatives, which ensure the local existence and uniqueness of the implicit function. The theorem is illustrated through examples and applications, highlighting its significance in solving equations where one variable is defined in terms of others.
  • #1
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Homework Statement
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Relevant Equations
Implicit function theorem
Hi,

I'm not sure if I've solved the problem correctly

Bildschirmfoto 2024-07-06 um 16.56.27.png


In order for the Implicit function theorem to be applied, the following two properties must hold ##F(x_0,z_0)=0## and ##\frac{\partial F(x_0,z_0)}{\partial z} \neq 0##. ##(x_0,z_0)=(1,2)## is a zero and ##\frac{\partial F(x_0,z_0)}{\partial z} =-x^2=-1## so both properties are fulfilled


According to the Implicit function theorem, there now exists a function ##g## for which the following relation ##x=g(z_1)## is valid in the neighborhood ##(z_0 - \epsilon, z_0 + \epsilon)##.


Then the following applies ##F(x,z_1)=F(g(z_1),z_1)##
 
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  • #2
You're doing good! keep going. You could end up with a value of some ##\epsilon>0## in the end, because that's the the problem is asking for. Then, you could show that the statement in the problem is true using the value of ##\epsilon## you found and the implicit function theorem.
 

FAQ: Implicit function theorem part 2

What is the Implicit Function Theorem Part 2?

The Implicit Function Theorem Part 2 is a mathematical result that extends the first part of the theorem, providing conditions under which a system of equations can be solved for some variables in terms of others. It specifically deals with the existence and continuity of solutions to equations defined implicitly by a function of several variables, usually under certain differentiability conditions.

What are the main assumptions required for the Implicit Function Theorem Part 2?

The main assumptions include the following: the function must be continuously differentiable, the system of equations must be set up correctly, and the Jacobian matrix of the system with respect to the variables being solved must be invertible at the point of interest. These conditions ensure that the implicit function can be expressed locally as a function of the remaining variables.

How does the Implicit Function Theorem Part 2 relate to the Jacobian matrix?

The Jacobian matrix plays a crucial role in the Implicit Function Theorem Part 2. Specifically, the theorem states that if the Jacobian of the function with respect to the variables being solved is non-singular (invertible) at a given point, then there exists a neighborhood around that point where the implicit function can be defined. The invertibility of the Jacobian guarantees the local existence of the implicit function.

Can the Implicit Function Theorem Part 2 be applied to systems of nonlinear equations?

Yes, the Implicit Function Theorem Part 2 can be applied to systems of nonlinear equations. The theorem is particularly powerful in this context because it allows for the analysis of solutions to nonlinear systems under the right conditions, specifically focusing on the behavior of solutions in the neighborhood of points where the Jacobian is invertible.

What are some applications of the Implicit Function Theorem Part 2?

The Implicit Function Theorem Part 2 has numerous applications across various fields, including economics, engineering, and physics. It is often used in optimization problems, stability analysis, and differential equations, where it helps to determine the behavior of solutions and their dependence on parameters. Additionally, it is useful in proving the existence of equilibrium points in dynamical systems.

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