Potential Function for v(x1, x2) - Find the Solution

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Homework Help Overview

The discussion revolves around finding a potential function for a given vector field v(x1, x2) = (2(x1)^2 + 2(x2) + 2, 2(x2) + 2x(1)). Participants are exploring the relationship between the potential function and its gradient in the context of multivariable calculus.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants are attempting to identify the potential function P such that its gradient equals the vector field v. Questions arise regarding the interpretation of the gradient and the nature of the potential function, with some participants suggesting the need for integration to find P.

Discussion Status

The discussion is ongoing, with various interpretations being explored. Some participants are questioning the definitions and properties of gradients and potential functions, while others are attempting to clarify the requirements for finding the scalar field associated with the vector field.

Contextual Notes

There is some confusion regarding the distinction between vector fields and scalar fields, as well as the proper approach to finding the potential function, which may involve integrating the components of the vector field. Participants are also addressing the notation used for variables.

teng125
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Find the potential function if it exists: v (x1 , x2) = 2 (x1)^2 + 2(x2) + 2, 2(x2)+2x(1)


may i know how to do this??

pls help
 
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teng125 said:
Find the potential function if it exists: v (x1 , x2) = 2 (x1)^2 + 2(x2) + 2, 2(x2)+2x(1)


may i know how to do this??

pls help

The potential function is the function whose gradient = v(x1 x2) (I'll call them x and y for aesthetic purposes). So if Grad(P(x, y)) = v(x, y), that means dP/dx = 2x^2 + 2y + 2, and dP/dy = 2y + 2x.

Try going from there
 
so the answer is v(x,y)=(4x , 2) rite??
 
No... the potential function of v is going to be a scalar function P, such that P is (essentially) the integral of v. So you're looking for a scalar function whose partial derivatives are the two parts of v
 
No, a gradient is not a vector!

Find a single, real valued, function of 2 variables, (and x,y is much better than x1, x2!), P(x,y) such that
[tex]\frac{\partial P}{\partial x}= 2x^2+ 2y+ 2[/tex]
[tex]\frac{\partial P}{\partial y}= 2y+ 2x.<br /> <br /> What is the anti-derivative of 2x<sup>2</sup>+ 2y+ 2 (with respect to x, treating y as a constant)? The "constant of integration" may be a function of y since you are treating y as a constant. Now, what is the derivative of that with respect to y?[/tex]
 
so if i change the question to find the conservative vector field,
than my answer v(x,y)=(4x , 2) is correct rite??
just do partial derivative rite??
 
teng, (4x, 2) is a vector field.

You need to supply a scalar field as the answer. You're looking for a scalar field whose gradient is v(x,y).

For example, if v(x,y) was (3x^2, 3y^2) then the potential P(x,y)=x^3 + y^3 + C

Because dP/dx = 3x^2, and dP/dy = 3y^2
 

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