Simple partial derivative question

In summary, the partial derivative can be interpreted as a rate of change in a function with multiple variables. In the example of finding the rate of change of the area of a parallelogram with respect to one of its adjacent sides, the partial derivative is equal to the other adjacent side multiplied by the sine of the angle between them. This means that for every unit increment of the given side, the area increases by the value of the other adjacent side multiplied by the sine of the angle. However, this interpretation only holds for linear functions. For non-linear functions, the partial derivative does not represent a constant rate of change.
  • #1
leehufford
98
1
Hello, just a quick question about interpreting the partial derivative as a rate of change.

My example is the area of a parallelogram: A = absinθ, with a and b being the adjecent sides with θ being the angle between them.

We found the rate of change of the area A with respect to the side a by holding b and θ constant:

(for a = 10, b = 20, θ = ∏/6)

∂A/∂a = bsinθ

∂A/∂a = 20sin(∏/6) = 10.

Does this mean for every unit increment of a, A increases 10 times that, ie. increasing a by 2 increases A by 20?

Thanks for reading.

Lee
 
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  • #2
You can check this with the example in the OP. If a = 11, b = 20 and theta = pi/6, what is the area of your P-gram?
 
  • #3
Here, your original function, [itex]A= ab sin(\theta)[/itex], is linear in both variables so, yes, you can think of the partial derivative as a "slope"- if a or b doubles, A also doubles.

If it were not linear, that would not be true. Take the example of a rectanguar solid with square cross sections- two perpendicular edges of length x and the third of length y. The volume is [itex]V= x^2y[/itex] so the two partial derivatives are [itex]V_x= 2xy[/itex] and [itex]V_y= 2x^2[/itex]. If x= 2, y= 2 then V=(4)(2)= 8. If x= 2, y= 4 (so x remains the same while y doubles), V= (4)(4)= 16. Yes, the volume has doubled. But if x= 4, y= 2 (so y remains the same while x doubles), V= (16)(2)= 32. The volume has been multiplied by [itex]2^2= 4[/itex].
 
  • #4
Thanks for the replies... can't believe I didn't think to just plug in some numbers and see it for myself.

Lee
 

FAQ: Simple partial derivative question

What is a simple partial derivative?

A simple partial derivative is a mathematical concept that represents the rate of change of a function with respect to one of its variables, while holding all other variables constant. It is denoted by a symbol that looks like a "d" with the variables written below and can be thought of as the slope of the function along a specific variable.

Why are simple partial derivatives useful?

Simple partial derivatives are useful because they allow us to analyze how a function changes with respect to a specific variable while holding all other variables constant. This can help us understand the behavior of a function and make predictions about its behavior in different scenarios.

How do you calculate a simple partial derivative?

To calculate a simple partial derivative, you take the derivative of the function with respect to the variable of interest, treating all other variables as constants. This involves applying the rules of differentiation, such as the power rule and chain rule, to the function. The result will be a new function representing the rate of change of the original function with respect to the chosen variable.

What is the difference between a simple partial derivative and a total derivative?

The main difference between a simple partial derivative and a total derivative is that a simple partial derivative only considers the change in one variable while holding all others constant, whereas a total derivative considers the combined effect of changes in all variables. In other words, a total derivative takes into account the relationships between all variables, while a simple partial derivative only looks at one variable at a time.

How are simple partial derivatives used in real-world applications?

Simple partial derivatives are used in many fields of science and engineering, including physics, economics, and engineering. They can be used to analyze and optimize functions in order to make predictions or improve processes. For example, in economics, simple partial derivatives can be used to analyze the relationship between supply and demand, while in engineering, they can be used to optimize the design of a product or process.

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