IS THERE A FENCEPOST ERROR WHEN CALCULATING MASS FOR A CONTINUOUS DISTRIBUTION?

In summary, there is a total mass of 30 kg when 5 point masses are arranged on the x-axis at x=1, 2, 3, 4, 5, with masses of 2 kg, 4 kg, 6 kg, 8 kg, and 10 kg respectively. However, when the mass is distributed continuously by the function M(x) = 2x, there is only 25 kg of mass from x=0 to x=5. This is because the continuous distribution accounts for the "fencepost error" and spreads the mass across intervals instead of just at the integer points. When considering the first and last masses at half-value or integrating from -0.5 to +
  • #1
LaplacianHarmonic
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Let's say 5 masses are arranged on x axis.

At x=1, 2kg
X=2, 4kg
X=3, 6kg
X=4, 8kg
X=5, 10 kg

Obviously, there is a total mass of 30 kgIf the mass is distributed continuously by the function M(x) = 2x, then

From x= 0 to x=5, there is 25 kg of mass from the simple integral.

WHY IS THERE LESS MASS for the continuous mass distribution than the 5 pint masses that equal up to 30kg?

is there NOT more mass for the continuous mass distribution than the 5 finite point masses? (In between the integers along the x axis?)
 
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  • #2
The point masses are at the upper limits of the intervals and have their values at the upper limit values. The continuous distribution for each interval, when integrated, is less than the upper limit value.
 
  • #3
LaplacianHarmonic said:
WHY IS THERE LESS MASS for the continuous mass distribution than the 5 pint masses that equal up to 30kg?
One way of looking at it is as a "fencepost error".

Think of spreading the mass at each integer out. So that the 2 kg at x=1 is spread across from x=0.5 to x=1.5 and the 10 kg at x=5 is spread across from x=4.5 to x=5.5. If you wish, consider 0 kg at x=0 spread across from x=-0.5 to x=+0.5

Now instead of a distribution with a series of spikes you have a distribution that is a step function. The total mass is still the same.

Now change to a continuous distribution, smoothing out that step function. Again, the total mass is the same.

But now look at the integrals that you have used to try to compute the total mass. You summed from 0 to 5 and counted the endpoints at full value. You integrated from 0 to 5. But that step function goes from -0.5 to +5.5. You've chopped off half of the first and last interval.

Try doing the sum by counting the first and last masses at half-value: ##\frac{0}{2}## + 2 + 4 + 6 + 8 + ##\frac{10}{2}## Now you get 25, just like the integral.
Or integrate from -0.5 to +5.5. Now you get 30, just like the sum.
 
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Related to IS THERE A FENCEPOST ERROR WHEN CALCULATING MASS FOR A CONTINUOUS DISTRIBUTION?

What is continuous mass distribution?

Continuous mass distribution is a statistical concept used in physics to describe the distribution of mass over an infinite or continuous range of values, rather than a discrete set of values. It is often used in the study of particles or substances that have a range of possible masses.

How is continuous mass distribution different from discrete mass distribution?

Discrete mass distribution refers to a finite set of distinct values for mass, whereas continuous mass distribution describes a range of possible values for mass that is infinite or continuous. In other words, continuous mass distribution allows for more precise and detailed analysis of mass distribution.

What is the importance of continuous mass distribution in physics?

Continuous mass distribution is important in physics because it allows for more accurate and detailed modeling of physical systems. It is particularly useful in describing the behavior of particles and substances that have a range of possible masses, such as gases and liquids.

How is continuous mass distribution represented mathematically?

In mathematics, continuous mass distribution is typically represented using a probability density function, which assigns a probability to each possible value of mass within a given range. This function can be used to calculate the probability of a particle having a specific mass within that range.

What are some real-life examples of continuous mass distribution?

Examples of continuous mass distribution in the real world include the distribution of particle masses in a gas or liquid, the distribution of body weights in a population, and the distribution of molecular weights in a chemical compound. These systems exhibit a range of possible values for mass, rather than discrete values.

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