Is Implicit Function Theorem Useful in Optimal Control Theory?

In summary, an implicit function is obtained by solving for y in a given relation, but there may be more than one implicit function for a single relation. It is also possible to leave the function implicitly defined. The Implicit Function Theorem is relevant in determining when a given expression defines a function implicitly in a continuously differentiable and unique manner. The theorem requires an open subset for differentiability.
  • #1
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Would you please explain what an implicit function in general is? Why ##y^2+x^2=c## is assumed as implicit even though it can be expressed in terms of ##y##?

##y^2=c-x^2## and then ##y=\sqrt |x|##

Thank you.
 
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  • #2
In general, any function we get by taking a relation ##f(x,y) = g(x,y)## and solving for ##y## is called an implicit function for the relation at hand. But keep in mind that a relation may have more than one implicit function. The example you give i.e. ##x^2 + y^2 = c## has more than one implicit function. If you solve for ##y^2## as you did and you want to get ##y##, you need to take the square root of the right hand side and this leads to one positive square root (one implicit function) and one negative (a second implicit function) for any value you give to ##c##.
 
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  • #3
You have given an example where it is simple to solve for y (although you need to be careful about 2 possible solutions). But you can also leave it implicitly defined. There are other examples that are much harder to solve for y. If you do not or can not solve for y, then you have an implicit function.
 
  • #5
Let's work in ##\Bbb R^2##, say. Suppose you had an equation ##F(x,y)=0##. Is there such a subset ## X\subseteq \Bbb R## such that for a fixed ##x\in X## there is a unique ##y## such that the equation is satisfied? If so, we say ##F## determines implicitly a mapping ##f:X\to\Bbb R## (satisfying ##F(x,f(x))=0, x\in X ##). We don't want to pick some funny weird subsets ##X##. We want it to be open so we could talk about differentiability (which is a very strong assumption - the course I took on optimal control theory Heavily relies on smoothness of the object function and the implicit function theorem becomes a powerful weapon - of course, it restricts the choice of ##F##, as well).
 
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What is an implicit function?

An implicit function is a mathematical function that is defined implicitly by an equation, rather than explicitly in terms of a single variable. This means that the dependent variable is not explicitly expressed in terms of the independent variable, but rather as a relationship between the two.

How is an implicit function different from an explicit function?

An explicit function is defined explicitly in terms of the independent variable, while an implicit function is defined implicitly by an equation that relates the dependent and independent variables.

What is the purpose of using implicit functions?

Implicit functions are often used to describe relationships between variables that cannot be easily expressed explicitly. They are also useful in solving equations and finding solutions to problems that involve multiple variables.

What are some examples of implicit functions?

Some examples of implicit functions include the equation of a circle, which relates the coordinates of a point on the circle to its distance from the center, and the equation of an ellipse, which relates the coordinates of a point on the ellipse to its distance from the center along both the x and y axes.

How are implicit functions used in science and research?

In science and research, implicit functions are used to model complex systems and relationships between variables, such as in physics, economics, and engineering. They are also used in optimization problems, where the goal is to find the maximum or minimum value of a function.

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