Function f(x,y,z) of three variables becomes z = g(x,y)

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Homework Help Overview

The discussion revolves around expressing the variable z as a function of x and y from a function f(x,y,z) on a level surface defined by a specific point (x0,y0,z0). Participants are exploring the condition ∂f/∂z > 0 and its implications for the existence of the function g(x,y).

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are questioning why the condition ∂f/∂z > 0 is necessary for z to be expressed as a function of x and y. There is an exploration of the geometric implications of the gradient vector and its relationship to the tangent plane at the level surface.

Discussion Status

Some participants have provided insights into the geometric interpretation of the condition and its necessity for ensuring a unique solution for z given x and y. Others have noted that the condition could also hold if ∂f/∂z < 0, as long as ∂f/∂z ≠ 0, indicating a productive exploration of the topic.

Contextual Notes

Participants are working within the constraints of a theoretical calculus exercise and are seeking clarification on the underlying theory without a complete resolution of the question posed.

tomkoolen
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Hello everyone,

I have a theoretical calculus question. I am working on a exercise where you have to consider f(x,y,z) and express the variable z as a function of x and y on a certain level surface around a certain (x0,y0,z0).

I found out that the condition for this to be able is that the triple (x0,y0,z0) is such that ∂f/∂z > 0. I am able to do the rest of the exercise because I know the rules as to how to find derivatives of this g(x,y) and other things, but I want to know exactly why the condition stated above works.

What I can think of myself: There has to be a positive change in f when z changes is the meaning of the condition. I must be overlooking something, because I don't see why this makes z expressable in terms of x and y. If anyone could clarify, thank you very much!

Kind regards,
Tom
 
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tomkoolen said:
Hello everyone,

I have a theoretical calculus question. I am working on a exercise where you have to consider f(x,y,z) and express the variable z as a function of x and y on a certain level surface around a certain (x0,y0,z0).

I found out that the condition for this to be able is that the triple (x0,y0,z0) is such that ∂f/∂z > 0. I am able to do the rest of the exercise because I know the rules as to how to find derivatives of this g(x,y) and other things, but I want to know exactly why the condition stated above works.

What I can think of myself: There has to be a positive change in f when z changes is the meaning of the condition. I must be overlooking something, because I don't see why this makes z expressable in terms of x and y. If anyone could clarify, thank you very much!

Kind regards,
Tom

No need to write in bold. Could you maybe give the question?
 
Sorry I didn't see I was writing in bold.
The question is: Why does the condition ∂f/∂z > 0 make g(x,y) exist on the level surface? I don't understand the theory behind it.
 
To write z = g(x,y) you need z to be uniquely determined by (x,y). In other words, f(x,y,z) = C must have a unique solution for z given (x,y). This can be guaranteed by insisting that \frac{\partial f}{\partial z} &gt;0 so that given (x,y) there is at most one z such that f(x,y,z) = C.
 
tomkoolen said:
Sorry I didn't see I was writing in bold.
The question is: Why does the condition ∂f/∂z > 0 make g(x,y) exist on the level surface? I don't understand the theory behind it.

First of all: it works equally well if ##\partial f /\partial z < 0## instead. All you need is ##\partial f /\partial z \neq 0##.

Denote the partial derivatives by subscripts, so that ##f_x = \partial f/\partial x##, etc. Geometrically: the gradient vector ##\nabla f = (f_x, f_y, f_z)## is perpendicular to the tangent plane of ##f## at ##(x,y,z)##, so if ##f_z(x_0,y_0,z_0) = 0## the tangent plane is vertical (parallel to the ##z##-axis) at ##(x_0,y_0,z_0)##. That means that ##z## could not be a nice, smooth, single-valued function of ##x## and ##y## in the immediate vicinity of ##(x_0,y_0)##.

Alternatively, from ##f(x,,y,z) =0## we have ##f_x dx + f_y dy + f_z dz = 0##, so if ##f_z \neq 0## we can divide through by it to get
dz = -\frac{f_z}{f_z} dx - \frac{f_y}{f_z} dy.
This is a partial differential equation to determine ##z## in terms of ##x## and ##y##.
 

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