Minimizing Magnetic Field Intensity: Solving for the Directional Derivative

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Homework Help Overview

The discussion revolves around minimizing magnetic field intensity described by the surface M(x,y)=3*x^2+y^2+5000 at a specific point (8,6). Participants are exploring how to determine the curve along which to travel to achieve this minimization, with references to directional derivatives and differential equations.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the concept of using the negative gradient of M(x,y) to find the direction of fastest decrease in field intensity. There are questions about the formulation of a parametrized curve and its relationship to the gradient. Some participants express confusion about the definitions and implications of curves and parametrized curves in this context.

Discussion Status

The discussion is ongoing, with participants attempting to clarify concepts and definitions related to curves and gradients. Some guidance has been offered regarding the use of the gradient to determine direction, but there remains a lack of consensus on the specific formulation of the parametrized curve and how to proceed with the calculations.

Contextual Notes

There is an indication of confusion regarding the setup of the problem, particularly in defining the parametrized curve and its relation to the gradient. Participants are navigating through the mathematical definitions and implications without a clear resolution.

Lancen
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This is a problem that's been bugging me. Suppose you are on the surface M(x,y)=3*x^2+y^2+5000 that describes a magnetic field, you are at the point (8,6), what is the curve along which you should travel so as to minimize field intensity as rapidly as possible? I am told I need to solve a differential equation, I am thinking I need to find the minimal directional derivative and somehow from that find the equation of the line that represents, and integrate it to get a curve. But I am at a loss as to how to start. Someone help?
 
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You know that [itex]-\nabla M(x,y)[/itex] is the direction you need to go into in order for your field to decrease the most rapidly. And given a parametrized curve [itex]\gamma (t) = (x(t),y(t))[/itex], the speed [itex]\dot{\gamma}[/itex], is the direction in which the curve is "going". So if you'd have a curve whose speed is [itex]-\nabla M(x,y)[/itex], you'd have a curve that follows the path of fastest decrease, would you not?
 
Sorry I don't quite follow, the negative of the directional derivative is the directional I need to go, but what is the parametrized curve? Is the equation of setting up -M(x,y)=(x(t),y(t))?
 
A curve and a "parametrized curve" are practically the same thing. A curve is a function (typically smooth) [itex]\gamma : (t_1, t_2)\rightarrow \mathbb{R}^2[/itex], [itex]\gamma(t)=(x(t),y(t))[/itex].

This is a what a curve is. The other way to define a curve is as a "level curve", i.e. by finding a function f(x,y) such that f(x,y)=constant gives a certain relation btw x and y.
 
And just as the derivative of a single valued function f(x) gives the tangant to the curve, the derivative of the curve, typically noted [itex]\dot{\gamma}[/itex]*, gives the tangeant to the curve, i.e. the direction where the curve is "heading".*[tex]\dot{\gamma} =\frac{d}{dt}\gamma(t) = \left(\frac{dx(t)}{dt},\frac{dy(t)}{dt} \right)[/tex]
 
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I am still a bit confused but I have something like this - (xn,yn) = (8,6)+[(-3x,2y)/sqrt(36x^2+4y^2)]*[v,w] where (xn,yn) is the new point after moving some distance, [v,w] the unit vector and [(-3x,2y)/sqrt(36x^2+4y^2)] the gradient divided by its length to give you the unit gradient, but how do I solve this?
 
I don't understand what you've done here. What do you not understand about the method I suggested?
 

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