Weighted Average Velocity between r1 and r2

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In summary, the conversation discusses the concept of average velocity and the formula for calculating it. It is suggested that the average velocity can be found by taking the integral of velocity over time, or by taking the integral of distance over velocity. There is a discussion about whether the two methods are equivalent, with the conclusion that they are. It is also mentioned that the initial formula proposed in the conversation does not give the correct result for average velocity.
  • #1
natski
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Consider a velocity which is a function of position r, which does not vary linearly with time.

Consider a body moving with this varying velocity between distance r1 to r2.

Let us define the average velocity between r1 and r2 as (r2-r1)/time taken to travel between r2 and r1.

I assumed the average would be found by:

Integral[ v(r) dr {r2, r1}] / Integral [dr {r2, r1}]

But this formula does not seem to work. Are there any special cases where this formula is not sufficient?
 
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  • #2
You need the integral over time to get the average velocity.
 
  • #3
But time is a function of position, so there does not seem any reason why one could not use the position as an equivalent weight?

So you suggest:

Integral[v dt] / Integral[dt]

But
r(t) => dr/dt = 1/f'
=> dt = f' dr

Hence one could write Integral[v f' dr] / Integral[f' dr]

But dr/dt = v
hence f' = 1/v
=> vbar = Integral[dr] / Integral[dr /v]
 
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  • #4
natski said:
So you suggest:

Integral[v dt] / Integral[dt] ...(1)

...

But dr/dt = v
hence f' = 1/v
=> vbar = Integral[dr] / Integral[dr /v] ...(2)

The two integrals (1) and (2) are identical. Sorry, I don't get your point now...?
 
  • #5
Well Meir felt you couldn't take the weighted average by integrating over position, but I am trying to prove that you can by virtue of the fact that his suggestion, of integrating over time, can be written as an integral over position.
 
  • #6
natski said:
Well Meir felt you couldn't take the weighted average by integrating over position, but I am trying to prove that you can by virtue of the fact that his suggestion, of integrating over time, can be written as an integral over position.

Ok. But Meir was responding to this in your original post:

"Integral[ v(r) dr {r2, r1}] / Integral [dr {r2, r1}]"

which is not going to give average velocity.

But "vbar = Integral[dr] / Integral[dr /v]" in your 3rd post will give average velocity.
 

1. What is weighted average velocity between r1 and r2?

Weighted average velocity between r1 and r2 is a measurement used in physics to calculate the average speed of an object between two specific points. It takes into account the different distances traveled at varying velocities.

2. How is weighted average velocity between r1 and r2 calculated?

To calculate the weighted average velocity between r1 and r2, you first need to determine the distance and velocity of each segment between the two points. Then, multiply each distance by its corresponding velocity and add all of these values together. Finally, divide the total by the sum of all the distances traveled.

3. Why is weighted average velocity between r1 and r2 important?

Weighted average velocity between r1 and r2 is important because it gives a more accurate representation of an object's speed over a certain distance. This is because it takes into account the varying velocities and distances traveled, rather than just the overall distance and time.

4. Can weighted average velocity between r1 and r2 be negative?

Yes, weighted average velocity between r1 and r2 can be negative. This can occur if an object moves in the opposite direction of the positive direction, or if it changes direction multiple times between r1 and r2.

5. How is weighted average velocity between r1 and r2 different from average velocity?

Weighted average velocity between r1 and r2 takes into account the varying velocities and distances traveled, while average velocity is simply the total distance traveled divided by the total time it took. Additionally, weighted average velocity is a more precise measurement, as it considers the different speeds at which an object traveled during its journey.

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