What's the difference between probability and probability density

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Discussion Overview

The discussion revolves around the distinction between probability and probability density, particularly in the context of quantum mechanics and mathematical definitions. Participants explore the implications of these concepts in various dimensions and their mathematical representations.

Discussion Character

  • Conceptual clarification
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant states that the integral of |Psi| squared represents the probability of finding a particle at a certain position at a certain time, questioning the meaning of "density."
  • Another participant explains that density refers to the quantity per unit length, area, or volume, and illustrates this with the example of a one-dimensional system where probability is calculated over an interval.
  • A different participant notes that in mathematics, probability density is the derivative of cumulative probability, providing a formal definition involving a random variable.
  • One participant draws an analogy between probability density and mass density, suggesting that probability density relates to probability in a similar way.
  • Another participant challenges the initial claim about probability, emphasizing that it pertains to a domain rather than a specific point.
  • A later reply expresses understanding of the term "probability density," clarifying that it refers to the probability of finding a particle within a given region of space.

Areas of Agreement / Disagreement

Participants express differing views on the interpretation of probability density, with some clarifying its mathematical basis while others contest earlier claims. The discussion does not reach a consensus on the definitions and implications of these terms.

Contextual Notes

There are unresolved aspects regarding the definitions of probability and probability density, particularly in relation to dimensionality and the interpretation of integrals over domains.

Newbie says Hi
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So the integral of [tex]|Psi|[/tex] squared represents the probability of finding a particle at a certain position at a certain time. Please correct me if this is wrong. SO what exactly does the "density" refer to?
 
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The density of anything is the quantity itself per unit length/area/volume.

If the [itex]|\psi|^2[/itex] is defined for a 3 dimensional system, then the probability density will be the probability divided by volume. And for 2 dimensional and 1 dimensional systems, we have area and length respectively.

The best way to see this is that for 1 dimensional systems, for example, the probability of a particle being between points A and B is given by

[tex]\int^B_A |\psi(x)|^2\ dx.[/tex]

Here, we have multiplied the prob. density by a length, namely [itex]dx,[/itex] to get a probability. Therefore the density itself is a probability divided by a length. The extension to higher dimensions is easy.
 
In mathematics, probability density is the derivative of the cumulative probability. Specifically, let F(x)=Prob.(X<=x), where X is some real valued random variable. Then the density is F'(x).
 
Newbie says Hi said:
Please correct me if this is wrong. SO what exactly does the "density" refer to?
Probability density : Probability :: (mass) density : mass
 
Newbie says Hi said:
So the integral of [tex]|Psi|[/tex] squared represents the probability of finding a particle at a certain position at a certain time. Please correct me if this is wrong. SO what exactly does the "density" refer to?

Nope, that's incorrect. It's the probability ascribed to a finite/infinite domain (in any # of dimensions, 1,2,3,...), not to a point of the domain.
 
Thanks to everyone who answered :)

NOW, I think understand why they call it probability density -- it is the probability of finding said particle in a given region (interval) of space.
 

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