Why is the Error Larger Than the Area in Calculations?

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The discussion addresses the phenomenon where the calculated error in a measurement can exceed the area being measured. It specifically examines error propagation in the context of physics, using the example of calculating the area of a rectangle with given side lengths and their uncertainties. The formulas for error calculation, including the contributions from each dimension, are clearly outlined, demonstrating that the total error can indeed be larger than the area itself due to the nature of relative errors and their propagation.

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I don't know why the error is lager than the area.
Is it possible?
 

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For each type of function there is a different error calculation

for let's say x = tsin(sy) the error would be

Δx = (Δy)tscos(sy) where t and s are some arbitrary constants

and something like

x = tzy were t is an arbitrary constant

then

(Δx/x)2 = (Δz/z)2 + (Δy/y)2 + 2(Δzy)2/zy

where 2(Δzy)2/zy is the covariance factor which i doubt you need to include.

so Δx = x√(all error added together and squared individually)

so

error calculations are a pain in the but in upper level physics studies but they are a necessity.

I'll give you an different example in case it doesn't make a lot of sense

Suppose that the area of a rectangle A=LW is to be determined from the following measurements of lengths of two sides:

L = 22.1 ± 0.1cm W= 7.3 ± 0.1cm

The relative contribution of ΔAL to the error in L will be

ΔAL/A = ΔL/L = 0.1/22.1 = 0.005

and the corresponding contribution of ΔAW will be

ΔAW/A = ΔW/W = 0.1/7.3 = 0.014

Thus ΔA will equal

ΔA = A√( 0.0142 + 0.0052)

ΔA = 0.015A
 
Last edited:

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