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Partial differentiation

chrisheaven

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Suppose you want to forecast the weather this weekend in Los Angeles. You construct a formula for the temperature as a function of several environmental variables, each of which is not entirely predictable. Now you would like to see how your weather forecast would change as one particular environmental factor changes, holding all the other factors constant. To do this investigation, you would use the concept of a partial derivative...

Let the temperature T depend on variables x and y, T = f(x,y). The rate of change of f with respect to x (holding y constant) is called the partial derivative of f with respect to x and is denoted by fx(x,y). Similarly, the rate of change of f with respect to y is called the partial derivative of f with respect to y and is denoted by fy(x,y).

Any comments would be appreciated--- I am trying to post more sensible threads these days LOL
 
You'll need a hell of a lot more than two independent variables for a weather model. 😀
 
Let me know when you figure out how to convince Mother Nature to hold your other variable constant. That's what makes meteorology a challenge, no null or control experiments.

🙂 E. Bunbury
 
At least we can give Chris credit for raising the mathematical level of the Silly Stuff Forum. 😀
 
How about a thread on gradients and Lagrange multipliers? 😀
(Just kidding. :jester: )
 
I believe that the Lagrange thread is your best ever, Chris. 😀
 
The ampersand thread was one of your worst, actually. 😀
 
That is gross. :xlime:

Instead, you should contemplate the gradient, del. 😀
 
I had known the symbol was called nabla, but not where the name came from. Thanks for the link, Chris. 😀
 
\nabla is the way to get it printed using TeX or LaTeX. 😀
 
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