Find the direction in which slope is the steepest

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Homework Help Overview

The problem involves determining the direction of the steepest slope on a hill defined by a multivariate function representing height in relation to east-west and north-south distances. The specific point of interest is at coordinates x=y=1.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the relevance of the gradient vector in identifying the direction of steepest ascent. Some express uncertainty about how to proceed after calculating the gradient, while others explore the implications of the gradient's direction and magnitude.

Discussion Status

There is ongoing exploration of the gradient's role in determining direction, with some participants calculating specific values and angles. Multiple interpretations of the results are being considered, particularly regarding the angles associated with steepest ascent and descent.

Contextual Notes

Participants note potential discrepancies in calculated angles and question the correctness of their initial function setup. There is a discussion about the acceptability of different angle representations for the steepest ascent and descent.

wifi
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Problem:

The height of a hill (in meters) is given by [z=(2xy)-(3x^2)-(4y^2)-(18x)+(28y)+12], where x is the distance east, y is the distance north of the origin. In which compass direction is the slope at x=y=1 the steepest?

Solution (so far):

Does it have something to do with the gradient?
 
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wifi said:
Does it have something to do with the gradient?
Since the gradient vector points in maximal increase of a multivariate function, and z here represents a height then grad(z) will point where the height increases most rapidly, I.e where it is most steep. So yes, the gradient would certainly be helpful here.
 
I thought so, but I don't see how I'd be able to find the direction by calculating grad(z). Any suggestions?
 
wifi said:
I thought so, but I don't see how I'd be able to find the direction by calculating grad(z). Any suggestions?

The ##∇z## will give you a vector ...

So, the gradient of Z at a point is a vector pointing in the direction of the steepest slope.
 
I calculated ## \nabla z(x,y)= (-6x+2y-18)\hat{i}+(2x-8y+28)\hat{j} ##.

So this is a vector pointing in the direction of greatest increase (ie. the steepest).

Thus, ## \nabla z(1,1)= (-6+2-18)\hat{i}+(2-8+28)\hat{j}=(-6+2-18)\hat{i}+(2-8+28)\hat{j}=-22\hat{i}+22\hat{j} ##
 
Crake said:
The ##∇z## will give you a vector ...

So, the gradient of Z at a point is a vector pointing in the direction of the steepest slope.

Thanks. I calculated the gradient. I'm not sure what to do next.
 
I found ## |\nabla z(1,1)|= 22 \sqrt{2} ##. So, by the dot product, the angle this vector makes with the x-axis is given by ## cos \theta = \frac{\nabla z(1,1) \cdot \hat{x}}{|\nabla z(1,1)| \cdot |\hat{x}|} = \frac{-22}{22\sqrt{2} \cdot 1 }= \frac{1}{\sqrt{2}} \Rightarrow \theta = 135°##.
 
I think I messed up somewhere because my text is saying correct answer is ## \theta = -45°##.
 
Last edited:
wifi said:
I think I messed up somewhere because my is saying correct answer is ## \theta = -45°##.

Hum.. Perhaps your initial function lacks a minus somewhere?
 
  • #10
Well, the steepest ascent is also associated with the steepest descent... just the opposite direction (180° turn).
 
  • #11
gneil, I understand what you mean, but in that case shouldn't -45° & 135° both be acceptable answers?
 
  • #12
wifi said:
gneil, I understand what you mean, but in that case shouldn't -45° & 135° both be acceptable answers?

Yes, I would think so.
 

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