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
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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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FAQ: Uncertainties propagation for area of a rectangle

What is uncertainty propagation in the context of the area of a rectangle?

Uncertainty propagation refers to the process of determining the uncertainty of a calculated result based on the uncertainties in the measurements used in the calculation. For the area of a rectangle, this involves determining how the uncertainties in the measurements of the length and width affect the uncertainty in the calculated area.

How do you calculate the uncertainty in the area of a rectangle?

To calculate the uncertainty in the area of a rectangle, you can use the formula for the propagation of uncertainties. If A is the area, L is the length, W is the width, and ΔL and ΔW are the uncertainties in the length and width, respectively, the uncertainty in the area (ΔA) can be approximated by ΔA = A * sqrt((ΔL/L)^2 + (ΔW/W)^2).

Why is it important to consider uncertainties in measurements?

Considering uncertainties in measurements is crucial because it provides a more accurate representation of the reliability and precision of the calculated results. It helps in understanding the potential range of error and ensures that any conclusions drawn from the data are based on robust and reliable information.

Can uncertainties in length and width be different, and how does that affect the area calculation?

Yes, the uncertainties in the length and width can be different. When propagating these uncertainties to calculate the uncertainty in the area, each measurement's uncertainty contributes to the overall uncertainty in the area. The formula takes into account both uncertainties, reflecting their individual impacts on the final result.

What tools or methods can be used to minimize uncertainties in measurements?

To minimize uncertainties in measurements, you can use more precise measuring instruments, ensure proper calibration of equipment, use consistent measurement techniques, and take multiple measurements to calculate an average value. Additionally, understanding and controlling environmental factors that may affect measurements can also help in reducing uncertainties.

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