Need help with expectation value

AI Thread Summary
To calculate the expectation values of the products of components for a uniformly distributed vector in Cartesian coordinates, the conversion to spherical coordinates is suggested. The integral for <x·x> is set up as <x·x> = ∫[sin(θ)·cos(φ)]² dθ dφ, leading to the conclusion that <x·x> = <y·y> = <z·z> = 1/3, while other cross terms are zero. However, it is noted that the integration limits should be from 0 to 1 for all axes, and the probability density function must be included in the calculation. Clarification is provided that in quantum mechanics, the expectation value involves a factor of f(x)², which was overlooked. The discussion emphasizes the importance of correctly applying the probability density function and integration limits in expectation value calculations.
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Homework Statement



I have a random, uniformly distributed vector with Cartesian components x,y,z. I should calculate the expectation value of the products of the components, e.g. &lt;x\cdot x&gt;, &lt;x\cdot y&gt;, ..., &lt;z\cdot z&gt;.

Homework Equations



In spherical coordinates the x,y,z components are

x = \sin(\theta)\cdot\cos(\phi)
y= \sin(\theta)\cdot\sin(\phi)
z = \cos(\theta)


&lt;x\cdot x&gt; =\int f(x)\cdot x^2 dx = const.\times \int x^2 dx,
because the probability density function is constant of the uniform probability distribution.

The Attempt at a Solution



I think it is useful to convert the Cartesian coordinates to spherical coordinates. So for example

&lt;x\cdot x&gt; = \int_{0}^{\pi}d\theta\int_{0}^{2\pi}d\phi~~[\sin(\theta)\cdot\cos(\phi)]^{2}

I wrote a program for this, and the solution is:

&lt;x\cdot x&gt; = &lt;y\cdot y&gt; = &lt;z\cdot z&gt; = \frac{1}{3}
and the other terms are zero.

But the solution of the above integral is not 1/3.
 
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You don't need to convert to spherical coordinates, the limit you're assuming is from 0 to 1 on all three axes. And the value of the integral IS 1/3, but you've forgotten to multiply by f(x).

I don't know if youre calculating the same expectation value, but in QM, &lt;f&gt;=\int_{a}^{b}f(r)*f&#039;*f(r)&#039;dr,

where f' is the operator, f(r) is the function (physical quantity), and f(r)' is its conjugate. If f is real only, then f(r)=f(r)' and the integral becomes,

f(r)^2\int_{a}^{b}f&#039;dr

If that is what you were trying to calculate, then you missed out by a factor of f(x)^2. Also, \theta is a constant, not a variable.
 
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