What is the standard deviation for a rock dropped off a cliff?

Click For Summary
SUMMARY

The discussion focuses on calculating the standard deviation of a rock dropped from a height \( h \) using principles from classical mechanics and probability density functions. The standard deviation is derived as \( \sigma = \frac{2h}{\sqrt{45}} \). Additionally, the conversation touches on the Gaussian distribution, where the expectation values \( \) and \( \) are explored, with the conclusion that \( = a \) for a properly normalized Gaussian function. The integration techniques discussed include integration by parts and variable substitution.

PREREQUISITES
  • Understanding of classical mechanics, specifically equations of motion.
  • Familiarity with probability density functions and their properties.
  • Knowledge of Gaussian distributions and their characteristics.
  • Proficiency in calculus, particularly integration techniques.
NEXT STEPS
  • Study the derivation of standard deviation in continuous probability distributions.
  • Learn about the properties and applications of Gaussian distributions in physics.
  • Explore advanced integration techniques, including integration by parts and variable substitution.
  • Investigate the normalization conditions for probability density functions.
USEFUL FOR

Students of physics, particularly those studying mechanics and quantum mechanics, as well as mathematicians and statisticians interested in probability distributions and their applications.

Bill Foster
Messages
334
Reaction score
0

Homework Statement



Problem 1.2 from the book Introduction to Quantum Mechanics (2e) by Griffiths:

Suppose a rock is dropped off a cliff of height h. As it

falls, a million photos are snapped, at random intervals. On each picture the distance the rock has fallen is measured.

a) Find the standard deviation of the distribution.

The Attempt at a Solution



Starting with the equation of motion (assuming it falls in the positive x direction):

x(t)=x_0+v_0(t)+\frac{1}{2}at^2=\frac{1}{2}gt^2

The time T it takes to fall:

h=\frac{1}{2}gt^2
T=\sqrt{\frac{2h}{g}}

Probability a picture is taken in interval dt:

\frac{dt}{T}=dt \sqrt{\frac{g}{2h}}=\frac{dx}{gt}\sqrt{\frac{g}{2h}}=\frac{1}{2h}\frac{1}{\sqrt{gt}}dx=\frac{1}{2\sqrt{hx}}dx

So the probability density is:

\rho(x)=\frac{1}{2\sqrt{hx}}

Expectation Value:

\mu=\int_0^h x \rho(x)dx=\int_0^h x \frac{1}{2\sqrt{hx}}dx=\frac{1}{2\sqrt{h}}\frac{2}{3}x^\frac{3}{2}=\frac{h}{3}

Standard deviation:

\sigma^2=\int_0^h (x-\mu)^2 \rho(x)dx
\sigma^2=\int_0^h (x-\frac{h}{3})^2 \frac{1}{2\sqrt{hx}}dx=\frac{4}{45}h^2
\sigma=\frac{2h}{\sqrt{45}}

Look right?
 
Physics news on Phys.org
I'm pretty sure that's right. How about this one:

Consider the Gaussian distribution \rho(x)=Ae^{-\lamba(x-a)^2} where A, α, and λ are positive real constants.

Find <x>, <x²> and std dev.

&lt;x&gt;=\int_{-\infty}^{\infty} xAe^{-\lamba(x-a)^2}dx

&lt;x^2&gt;=\int_{-\infty}^{\infty} x^2Ae^{-\lamba(x-a)^2}dx

\sigma^2=&lt;x^2&gt;-&lt;x&gt;^2

I tried using integration by parts to evaluate the integrals, but I didn't get anywhere. I also tried looking them up on a table of integrals - also no luck.

I'm guessing <x>=a because a is the peak in a Gaussian distribution. But how do I show it?
 
For <x> just change variables to t=(x-a). If A is properly normalized, you should find <x>=a after you cancel the antisymmetric part of the integral. For <x^2> there's a standard trick to find this. You know a formula for the integral of exp(-k*x^2) from x=-infinity to infinity, right? Call it I(k). Then the integral of x^2*exp(-x^2) is closely related to d/dk(I(k)) evaluated at k=1. Isn't it?
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 0 ·
Replies
0
Views
2K
Replies
16
Views
3K
  • · Replies 42 ·
2
Replies
42
Views
6K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 10 ·
Replies
10
Views
4K
Replies
3
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 19 ·
Replies
19
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K