Combination of uncertainties/errors when dealing with equations

In summary, Combination of uncertainties/errors when dealing with equations can lead to errors in results, and it is important to account for constants in the equation when calculating errors.
  • #1
Supra
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[SOLVED] Combination of uncertainties/errors when dealing with equations

Greetings; I wasn’t sure exactly which section to place this so please move it if necessary.

My problem is as follows:

I have worked out an impedance for a coaxial cable, using the following formula: Z = (L/C)^1/2. Here, L is the inductance and C is the capacity per unit length. L is given by L = (μ/2π)ln(b/a). C is given by C = 2πε/[ln(b/a)]. Both b and a are distances. All other values are constants with their usual meaning.

I have no trouble in working through these equations and combining them to find a Z value. What I’m struggling with is the ‘associated errors’ of these things. As this result is required for a lab report it is important that I do quote the overall uncertainty of my final result.

I understand that both a and b are measured values and this means I do have an error associated with them (given by the resolution of the measuring instrument). I also understand how to combine the errors of b and a when the 2 values ‘interact’ e.g. the error combination for (b/a) can be found using the standard error formula (ΔZ/Z)^2 = (ΔA/A)^2 + (ΔB/B)^2 (I can also do it for when the natural log of the combined values is taken). However, what I find difficult is the consideration of the constant values in the equation. If I just ignore these constants and take the errors for the combinations as explained above, I find the final error outcome is many times greater in magnitude than the final answer, so I am positive I do need to reconsider this. How do I consider the constants and their relationship to the errors, as I can’t quote an error for something like π yet it does effect the equation?

Any help would be much appreciated. All I am interested in is how to consider the constants in the equation with regards to errors (as I’ve explained I already know about standard error combinations when both values have errors). Obviously it is down to me to go through the actual numbers once I know what to do.

Many thanks for any help,

Supra.
 
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  • #2
you need to differentiate the equation with respect to both a and b and comb ine them using propagation of uncertainties.
Here is a link: http://www.rit.edu/~uphysics/uncertainties/Uncertaintiespart2.html
 
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  • #3
Ok well I've ran it through and found my impedance of 83Ω has an error of +- 0.168. Now that sounds a lot more reasonable to me, and I have to do another 4 impedances so I should be able to confirm they are realistic values.

Many thanks for the help Dr Transport, and for a very useful link <adds to bookmarks>.
 

FAQ: Combination of uncertainties/errors when dealing with equations

What is the definition of uncertainty/error in scientific equations?

Uncertainty or error in scientific equations refers to the inevitable margin of potential inaccuracy in the results of a calculation due to limitations in measurement tools, human error, or other factors.

How do you measure and express uncertainty/error in equations?

Uncertainty/error in equations is typically expressed as a percentage or a range of values. It can be measured through statistical analysis, such as calculating standard deviation or confidence intervals.

What is the impact of uncertainty/error on the reliability of scientific equations?

Uncertainty/error can significantly affect the reliability of scientific equations, as it introduces the possibility of incorrect results. It is crucial for scientists to consider and minimize uncertainty/error in their calculations to ensure the validity of their findings.

What are some methods to minimize uncertainty/error in equations?

Some methods to minimize uncertainty/error in equations include using more precise measurement tools, repeating experiments multiple times, and employing statistical techniques to analyze and reduce the impact of uncertainty/error.

How can uncertainty/error be propagated in complex equations with multiple variables?

In complex equations with multiple variables, uncertainty/error can be propagated using statistical methods such as error propagation formulas. These formulas take into account the uncertainties/errors of each individual variable to estimate the overall uncertainty/error in the final result.

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