Is F = ∇f if DF1/Dy = DF2/Dx for F(x,y) = (ycos(x), xsin(y))?

In summary, the conversation discussed the function F: R^2 -> R^2 and its relationship to a function f: R^2 -> R. It was shown that if F is the gradient of f, then the partial derivatives of F must be equal. However, the given function F(x,y) = (ycos(x), xsin(y)) does not satisfy this condition, indicating that it is not the gradient of a function.
  • #1
ak123456
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Homework Statement


consider a function F : R^2 [tex]\rightarrow[/tex]R^2 given as F(x,y)=(F1(x,y),F2(x,y)).Show that if F=[tex]\nabla[/tex]f for some function f : R^2[tex]\rightarrow[/tex]R,then
(for partial derivative )
DF1/Dy=DF2/Dx
show that F(x,y)=(ycos(X),xsin(y))is not the gradient of a function


Homework Equations





The Attempt at a Solution


i don't know how to set about this question
any clue ?
 
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What is a partial derivative?

A partial derivative is a mathematical concept that measures the rate of change of a function with respect to one of its variables, while holding all other variables constant.

Why is proof necessary in partial derivatives?

Proof is necessary in partial derivatives to ensure the accuracy and validity of any claims or results obtained from using this mathematical concept. It allows us to verify the truthfulness of any statements made and to identify any potential errors.

What are the common methods used to prove partial derivatives?

The most common methods used to prove partial derivatives are the first principles method, the total differential method, and the implicit function theorem. These methods involve using algebraic manipulations and logic to show that the partial derivative exists and has a specific value.

Can partial derivatives be used in higher dimensions?

Yes, partial derivatives can be extended to higher dimensions. In this case, we use the concept of multivariable calculus, which involves taking partial derivatives with respect to multiple variables at the same time.

What are some real-world applications of partial derivatives?

Partial derivatives have many real-world applications, including in physics, economics, and engineering. They are used to model and analyze complex systems, such as in optimization problems or to understand the behavior of a function in different scenarios.

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