Dy/dx of vector valued function F(x,y)

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Discussion Overview

The discussion revolves around finding the derivative dy/dx of a vector-valued function F(x,y) defined as F(x,y) = F1(x,y)i + F2(x,y)j. Participants explore the context of the problem, the meaning of terms like "norm," and the implications of treating x and y as independent variables.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested, Conceptual clarification

Main Points Raised

  • One participant questions how to derive dy/dx from the vector function F(x,y) and expresses confusion over the book's provided answer.
  • Another suggests considering the norm of the function for differentiation.
  • A participant seeks clarification on the term "norm," leading to an explanation involving the dot product.
  • Concerns are raised about the independence of x and y, with one participant stating that the context of the question does not typically warrant finding dy/dx.
  • The original poster clarifies that the question is from a specific textbook and acknowledges a mistake in the interpretation of the derivative's formula.
  • Another participant speculates that F1 and F2 might represent partial derivatives and discusses implicit differentiation related to the vector function.

Areas of Agreement / Disagreement

Participants express differing views on the appropriateness of finding dy/dx given the independence of x and y, with no consensus reached on the interpretation of the problem or the correct approach to take.

Contextual Notes

The discussion highlights potential ambiguities in the problem statement, including the independence of variables and the definitions of F1 and F2, which are not fully resolved.

shippo113
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F(x,y) = F1(x,y)i + F2(x,y)j, F is a vector valued function of x,y. How to find dy/dx?

The book gives the answer as

dy/dx = (F1(x,y))/(F2(x,y)). But I do not know how to get to this answer at all. Find the partial derivative is what I can do, but how to get to dy/dx when the main function is F(x,y)?
 
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I would be tempted to look at the norm of the function and then differentiate.
 
excuse me but what does norm mean?
 
Think of it as dot product.
<br /> \mathbf{F}(x,y)=F_{1}(x,y)\mathbf{i}+F_{2}(x,y) \mathbf{j} \Rightarrow |\mathbf{F}(x,y)|^{2}=F_{1}(x,y)^{2}+F_{2}(x,y)^{2}<br />
 
This appears to be just a vector function of two apparently independent variables x and y. Not a situation where you would normally even ask for dy/dx. What is the context of your question?
 
OK so this question is from the book called "Div, Grad, Curl, and all that: an informal text on vector calculus" by h. m. Schey. This is the the question 1-6 from the book.

The question asks to prove that the F(x,y) = F1(x,y)i + F2(x,y) is infact a solution to the differential equation dy/dx=(F2(x,y))/(F1(x,y)).

Sorry but I just realized from the small print in the ebook that the dy/dx=(F2(x,y))/(F1(x,y)) and not upside down.
 
shippo113 said:
F(x,y) = F1(x,y)i + F2(x,y)j, F is a vector valued function of x,y. How to find dy/dx?

The book gives the answer as

dy/dx = (F1(x,y))/(F2(x,y)). But I do not know how to get to this answer at all. Find the partial derivative is what I can do, but how to get to dy/dx when the main function is F(x,y)?
The question, as given, makes no sense. In order to find dy/dx, y must be a function of x. But just telling us that "F(x,y)= F1(x,y)i+ F2(x,y)j" does not imply that. It might well be that x and y are completely independent parameters.

Please check your book again and tell us what the problem really says.
 
It's always a challenge to figure out what the problem is when the poster doesn't understand it will enough to state it correctly. So here goes a wild guess. First I'm guessing that what the OP called F1(x,y) and F2(x,y) are really F1(x,y) and F2(x,y) and are alternate notations for the partials Fx(x,y) and Fy(x,y). Then I'm going to further guess that his question has something to do with the fact that if you differentiate F(x,y) = C implicitly with respect to x you get

Fx(x,y) + Fy(x,y)y' = 0

y&#039; = -\frac{F_x(x,y)}{F_y(x,y)}
 

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