Please help check my solution to gradient question.

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In summary, the conversation discusses the movement of a wildebeest across a plain, where its location is represented by the coordinates (x,y) and its direction is influenced by its velocity of 12 miles per hour northward and 7 miles per hour westward. The air temperature is also a factor, changing at a rate of -0.10 degrees per mile in the northward direction, -0.05 degrees per mile in the eastward direction, and -1.6 degrees per hour overall. The question at hand is the rate of change in air temperature that the wildebeest is experiencing at the present moment, and the solution involves setting up a 3-dimensional function and using the gradient and dot
  • #1
ozone
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Homework Statement



A wildebeest is charging across a plain. His path takes him to location (x,y) where x is his distance (in miles) east of his starting point and y is his distance in miles north of his starting point at time t. So x and y are functions of t. The air temperature is a function of both location and time.
Right now he is moving at a velocity of 12 miles per hour in the northward direction and 7 miles per hour westward. In the northward direction the temperature changes at a rate of -0.10 degrees per mile, and in the eastward direction the temperature changes at a rate of -0.05 degrees per mile. Also, overall the temperature (irrespective of location) is changing at a rate of -1.6 degrees per hour.
What is the rate of change in air temperature that the wildebeest is experiencing right now?



The Attempt at a Solution



I just want to make sure I set this up right. I first created a function called r(t). We then have

[itex] ∇r = -7 i + 12 j + 1 k [/itex]

Next I made a unit vector for the 3 respective changes in temperature
[itex] u = -.05/1.603)i - .1/1.603) j + 1.6/1.63 k [/itex]

Next I just summed the dot product [itex] ∇r * u [/itex]

I just wanted to make sure there are no errors in this solution, and that I set it up in an efficient manner. I have trouble when I have to start mixing (x,y) with t.

Thank you.
 
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  • #2
I really don't understand at all. if the wildebeast can only move in a two dimensional plane (North-South and East-West), what does "k" represent? And how is the wildebeast moving in that direction at 1 mile per hour?

But then I don't understand the question itself! If the temperature is changing at "-0.10 degrees per mile" in the northern direction and at -0.05 degrees per mile" in the eastern direction, then how can it be changing at -1.6 degrees per hour irrespective of location?
 
  • #3
Lol that is why I posted it here! A teacher at my college put this on a calc III test, and I want to make sure that I am prepared for an upcoming exam. I chose to set z = 1 in the gradient because I wanted to consider this problem as a 3 dimensional function where the z value would be a shift up and down a 3 dimensional axis perhaps.

However I'm not sure if this would yield a correct answer.

edit : the change in global temperature is what I considered to be our z value.
 
  • #4
You could call it r(t)=(x,y,t). Then r'(t)=(-7,12,1)

∇T=(-.05,-.1,-1.6)

Then dT/dt=∇T[itex]\cdot[/itex]r'(t)

Comments:

I'm not sure you need a unit vector.

Rate of change with respect to what, time?

Notice that dT/dt≠∂T/∂t=-1.6
 

FAQ: Please help check my solution to gradient question.

What is a gradient?

A gradient is a mathematical concept used to describe the rate of change of a function at a given point. It represents the slope or steepness of a curve at a particular point.

How do you calculate the gradient?

The gradient of a function can be calculated by finding the derivative of the function with respect to the variable of interest. This can be done using various methods such as the power rule, product rule, and chain rule.

What does it mean if the gradient is positive/negative?

A positive gradient indicates that the function is increasing at that point, while a negative gradient means that the function is decreasing. The steeper the gradient, the faster the change in the function.

Can the gradient be zero?

Yes, the gradient can be zero at a point where the function has a horizontal tangent. This means that the function is neither increasing nor decreasing at that point.

How is the gradient used in real life?

The concept of gradient is widely used in fields such as physics, engineering, and economics to describe the rate of change of various quantities. It is also used in optimization problems to find the minimum or maximum of a function.

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