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elementbrdr
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Fermat's theorem provides that, if a function f(x) has a local max or min at a, and if f'(a) exists, then f'(a)=0. I was wondering whether a similar theory exists for a function f(x,y) or f(x,y,z) etc.
elementbrdr said:HallsofIvy, your last statement is interesting. I'm not sure if I'm at the point where I can understand it quite yet, unfortunately.
I have not yet begun to study multivariate calculus. I am currently reviewing single variable calculus in preparation for linear algebra. I reviewed Fermat's Theorem yesterday and recalled that I had encountered a problem where applying it in the multivariate context would have been helpful. So I was primarily interested in whether my intuition that such application was possible was conceptually sound.
I'm curious, though, why the existence of a partial derivative with respect to each variable does not imply that the function is differentiable. I thought a whole derivative was either (a) an ordered set of partial derivative values or (b) the vectors sum of the partial derivatives. So if you can calculate partial derivatives, how could the function not be differentiable? (I could be way off here, but figured it wouldn't hurt to ask)
Strange.elementbrdr said:Arildno, I received your response by email. I don't see it on the forum yet, though. What you say makes a lot of sense. If I understand you correctly, you are saying that, for a function f(x,y), the existence of the partial derivatives d/dx and d/dy only represent 4 possible approaches to a given point f(a,b) out of an infinite number of possible approaches (not sure if I'm using proper terminology). But if that is correct, then how can one test whether a function f(x,y) is actually differentiable?
Fermat's theorem applied to multivariate functions is a mathematical principle that states that if a function has a maximum or minimum value, then the derivative of that function at that point is equal to zero. This theorem is used to find extreme points in multivariate functions, where there are multiple independent variables.
Fermat's theorem applied to multivariate functions has many practical applications, such as in economics, physics, and engineering. It can be used to optimize processes and find the most efficient solutions to problems with multiple variables.
Yes, Fermat's theorem can be applied to functions with any number of variables. The basic principle remains the same - if the function has a maximum or minimum value, then the derivative at that point is equal to zero.
While Fermat's theorem is a powerful tool, it does have some limitations. It can only be used to find extreme points in continuous functions, and it may not always give the global maximum or minimum of a function.
Fermat's theorem is closely related to optimization, as it is often used to find the maximum or minimum value of a multivariate function. This is useful in optimization problems where the goal is to find the most efficient solution or the highest possible profit.