How Do You Calculate the Uncertainty in Kinetic Energy?

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SUMMARY

The discussion focuses on calculating the uncertainty in kinetic energy for an object with mass m = 2.3 ± 0.1 kg moving at a speed of v = 1.25 ± 0.03 m/s. The kinetic energy is calculated using the formula K = (1/2)mv², resulting in K = 1.80 ± 0.09 J. Participants clarify the application of error propagation formulas, specifically Δz = |z| (Δx/x + Δy/y) for multiplication and Δz = n (x^(n-1)) Δx for powers. The inclusion of the factor 1/2 is justified as a constant in the kinetic energy formula, and the discussion emphasizes the importance of correctly applying error propagation techniques.

PREREQUISITES
  • Understanding of kinetic energy formula K = (1/2)mv²
  • Knowledge of error propagation techniques, specifically Δz = |z| (Δx/x + Δy/y)
  • Familiarity with basic calculus, particularly differentiation and powers
  • Concept of significant figures and uncertainty in measurements
NEXT STEPS
  • Study advanced error propagation techniques in physics
  • Learn about the implications of constant factors in formulas
  • Explore the concept of worst-case design (WCD) in engineering
  • Review the principles of standard deviation in measurement uncertainty
USEFUL FOR

Students in physics, engineering professionals, and anyone involved in experimental measurements and uncertainty analysis will benefit from this discussion.

bysons
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Homework Statement


An object of mass m = 2.3 ± 0.1 kg is moving at a speed of v = 1.25 ± 0.03 m/s.
Calculate the kinetic energy (K =(1/2)mv2) of the object. What is the uncertainty
in K?

Homework Equations


Δz = |z| ( Δx/x + Δy/y ) - Multiplication

Δz = n (xn-1) Δx - Power

The Attempt at a Solution


k=1/2 mv2

(power)
Δv = 2(1.25)1(0.03)
=0.075

(multiplication)
Δk = k(1/2) (0.1/2.30 + 0.075/1.25)
=0.09

1.80 ± 0.09 kg*m2/s2

Just wondering if this is correct or if I have gone about this wrong. I'm I correct in multiplying K by 1/2 in the last step?
 
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bysons said:
Δv = 2(1.25)1(0.03)
=0.075
More accurately, that's Δ(v2).
(multiplication)
Δk = k(1/2) (0.1/2.30 + 0.075/1.25)
How do you justify the inclusion of the factor 1/2? I don't see that in the equations you quoted. Let's say we replace the 1/2 with an unknown, a:
k = a m v2
Δk/k = Δa/a + Δm/m + Δ(v2)/(v2)
Knowing that a = 1/2, no error, what would you write for Δa?
 
Okay I did the work right though I just wrote delta V instead of delta v^2?

1/2 is just a constant in the kinetic energy formula. I just treat it as something still being multiplied?
 
bysons said:
Okay I did the work right though I just wrote delta V instead of delta v^2?
Yes.
1/2 is just a constant in the kinetic energy formula. I just treat it as something still being multiplied?
No. Think about what I wrote before. 1/2 is a precisely known constant. If z = xy and x is precisely known, what do you get for Δz/z?
 
Δz/z = Δy/y ?
 
bysons said:
Δz/z = Δy/y ?
Quite so. Note that x has disappeared. In the present context, x represents the factor 1/2.
 
I guess they're not teaching standard deviation error propagation any more these days? because those formulas are substantially different from the "simplified" ones given by the OP.

A good basic treatment is at http://www.rit.edu/~w-uphysi/uncertainties/Uncertaintiespart2.html
 
Last edited by a moderator:
rude man said:
I guess they're not teaching standard deviation error propagation any more these days? because those formulas are substantially different from the "simplified" ones given by the OP.

A good basic treatment is at http://www.rit.edu/~w-uphysi/uncertainties/Uncertaintiespart2.html
SDE propagation is not necessarily appropriate.
The link you posted isn't bad, but it fails to consider a few things.
1. What it classes as random errors includes some which are repeatable. If I measure a length to the nearest mm by eye, I cannot really judge the fractions of mm, so if the actual length is 19.294... mm it doesn't matter how often I measure it I will get 19mm. So the error has a flat distribution of ±0.5mm. This complicates SDE analysis a little. (The link mentions 'least count' but does not properly consider the consequences.)
2. If two engineering parts have specs of ±1mm, and the design requires that their sum must be under some value, the engineer will quite rightly calculate the total uncertainty at 2mm. If the plane falls out of the sky she can't blame it on a statistical fluke.
 
Last edited by a moderator:
If you do worst-case design as opposed to std deviation, in most cases you'd be out of business in a hurry.

Yet in certain situations like aircraft safety, yes, you need to do wcd.
 
  • #10
Relevant equations

Δz = |z| ( Δx/x + Δy/y)

Δz = n (xn-1) Δx

k=1/2 mv2 k = 1.796875

Δ(v2) = 0.075

Δk = k(0.1/2.30 + 0.075/1.25)

= 1.8 ( 0.103) = 0.186

= 1.8 ± 0.186 J

Is this correct?
 
  • #11
Blake_ap1 said:
0.075/1.25)
That term seems to represent Δ(v2)/v. Did you mean that?
 
  • #12
haruspex said:
That term seems to represent Δ(v2)/v. Did you mean that?
Yes
 
  • #13
Blake_ap1 said:
Yes
That would be dimensionally wrong. You are adding it to a dimensionless term, Δm/m.
 

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