Uncertainties propagation for area of a rectangle

In summary: Therefore, your comparison is incorrect.In summary, the conversation discusses the calculation of uncertainties in the area of a rectangle, using the values of length and width with their corresponding uncertainties. The concept of ##\Delta A_2## as the difference between the average value and the minimum value of the area is discussed, along with the derivation of this value. The speaker also clarifies that the expression ##\Delta A_2 = \Delta W \bar L + \Delta L \bar W + \Delta L \Delta W## is incorrect, as it omits the ##\Delta W \bar L## term.
  • #1
ChiralSuperfields
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Homework Statement
I am trying to understand how they got the line ##\Delta A_2 = \bar A - A_{min}## below

When I expand the expression above it ##A_{min} = (\bar L - \Delta L)(\bar W - \Delta W) ## I get ##A_{min} = \bar L \bar W - \Delta W \bar L - \Delta L \bar W + \Delta L \Delta W = \bar A + \Delta A_2##
Relevant Equations
Pls see below
1679705046222.png


Many thanks!
 

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  • #2
Callumnc1 said:
Homework Statement:: I am trying to understand how they got the line ##\Delta A_2 = \bar A - A_{min}## below

When I expand the expression above it ##A_{min} = (\bar L - \Delta L)(\bar W - \Delta W) ## I get ##A_{min} = \bar L \bar W - \Delta W \bar L - \Delta L \bar W + \Delta L \Delta W = \bar A + \Delta A_2##
They didn't "get it." ##\Delta A_2=\bar A-A_{min}## is a definition just like ##\Delta A_1.## They are the differences from the mean value to the high value ##A_{max}## and the the low value ##A_{min}##. The assertion is that the overall uncertainty is the the distance from the average value to the high value plus the distance from the average value to the low value. This is a simplified way to treat uncertainties.
 
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  • #3
kuruman said:
They didn't "get it." ##\Delta A_2=\bar A-A_{min}## is a definition just like ##\Delta A_1.## They are the differences from the mean value to the high value ##A_{max}## and the the low value ##A_{min}##. The assertion is that the overall uncertainty is the the distance from the average value to the high value plus the distance from the average value to the low value. This is a simplified way to treat uncertainties.
Thank you for your reply @kuruman!

That is very helpful that you mention that ##\Delta A_1## and ##\Delta A_2## are both definitions. Before, I thought I had derived ##A_{max} = \bar A + \Delta A_2## from ##A_{max} = \bar L \bar W + \Delta W \bar L + \Delta L \bar W + \Delta L \Delta W = \bar A + \Delta A_2##

Are why not allowed to compare the two expressions and say that ##\Delta A_2 = \Delta W \bar L + \Delta L \bar W + \Delta L \Delta W##?
Many thanks!
 
  • #4
You are allowed to compare anything you want. What is actually your question about this? I already explained what they are trying to do but maybe you didn't understand it. I will say it differently.
You want to find an area. To do this, you make many measurements of the length ##L## and the width ##W##. These measurements are not identical so you have uncertainties ##\Delta L## and ##\Delta W##.

Now you can calculate average values ##\bar L## and ##\bar W## and use these to find an average for the area ##\bar A= \bar L\bar W.## You also need to calculate the uncertainty ##\Delta A## in the value for the area. The insert that you posted shows you how to do this. It is the distance (in area units) between the maximum value and the minimum value for the area. So I will ask you again, what specifically is it about this that you don't understand?
 
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  • #5
kuruman said:
You are allowed to compare anything you want. What is actually your question about this? I already explained what they are trying to do but maybe you didn't understand it. I will say it differently.
You want to find an area. To do this, you make many measurements of the length ##L## and the width ##W##. These measurements are not identical so you have uncertainties ##\Delta L## and ##\Delta W##.

Now you can calculate average values ##\bar L## and ##\bar W## and use these to find an average for the area ##\bar A= \bar L\bar W.## You also need to calculate the uncertainty ##\Delta A## in the value for the area. The insert that you posted shows you how to do this. It is the distance (in area units) between the maximum value and the minimum value for the area. So I will ask you again, what specifically is it about this that you don't understand?
Thank you for your help @kuruman!

I think I understand now :)

If I don't I will come back to this thread
 
  • #6
Callumnc1 said:
Are why not allowed to compare the two expressions and say that ##\Delta A_2 = \Delta W \bar L + \Delta L \bar W + \Delta L \Delta W##?
You are allowed to compare two expressions, but only if the result is correct.

As was already stated, ##A_2 = \bar A - A_{min} = (\bar L - \Delta L)(\bar W - \Delta W)##
## = \bar L \bar W - \Delta L \bar W - \Delta W \bar L + \Delta L \Delta W##
What you wrote omits the ##\Delta W \bar L## term, which is equal to ##\bar A##.
 
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1. What is uncertainties propagation for area of a rectangle?

Uncertainties propagation for area of a rectangle is a mathematical process used to determine the uncertainty or error in the calculated area of a rectangle based on the uncertainties or errors in the measurements of its length and width.

2. Why is uncertainties propagation important for calculating the area of a rectangle?

Uncertainties propagation is important because it allows us to understand the accuracy and precision of our calculated area. It takes into account the potential errors in our measurements and gives us a more realistic and reliable value for the area of the rectangle.

3. How is uncertainties propagation calculated for the area of a rectangle?

Uncertainties propagation for the area of a rectangle is calculated using the formula:
ΔA = |A| * √((Δl/l)^2 + (Δw/w)^2), where A is the area, l is the length, w is the width, and Δ represents the uncertainty in each measurement.

4. What factors can affect uncertainties propagation for the area of a rectangle?

The main factors that can affect uncertainties propagation for the area of a rectangle are the uncertainties in the measurements of length and width, as well as any assumptions made in the calculation process. Other factors, such as human error or equipment limitations, can also contribute to uncertainties.

5. How can uncertainties propagation be minimized for the area of a rectangle?

To minimize uncertainties propagation for the area of a rectangle, it is important to minimize the uncertainties in the measurements of length and width. This can be achieved by using more precise measuring tools and techniques, taking multiple measurements, and reducing any sources of error. Additionally, using a more accurate formula or method for calculating the area can also help minimize uncertainties.

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