Is a Distribution Function a Ratio of Differentials?

In summary, the article explores the relationship between distribution functions and differentials, examining whether a distribution function can be defined as a ratio of differentials. It discusses the mathematical foundations of distribution functions, including their role in probability theory and statistics, and clarifies the distinctions between discrete and continuous distributions. The piece ultimately concludes that while there are connections between distribution functions and differentials, they serve different purposes and cannot be strictly equated.
  • #1
flyusx
40
1
Homework Statement
Show that ##\vert\tilde{\phi}\vert^{2}=\frac{1}{\sqrt{\hbar}}\vert\phi\vert^{2}## where ##\tilde{\phi}## is a momentum-basis and ##\phi## is a k-space-basis wave packet.
Relevant Equations
##p=k\hbar##
I read on a post here titled 'Understanding Fourier Transform for Wavefunction Representation in K Space' that if one represents the squared-amplitude as a ratio of differentials, the solution is given. Letting the squared-amplitude be ##\phi##.
$$\frac{d\phi}{dp}=\frac{d\phi}{dk}\frac{dk}{dp}$$
Where $$\frac{dk}{dp}=\frac{1}{\hbar}$$
And therefore
$$\vert\tilde{\phi}\vert^{2}=\frac{1}{\hbar}\vert\phi\vert^{2}$$

Additionally, when I represent the Planck distribution with respect to frequency as ##\frac{du}{df}## and multiply by ##\left\vert\frac{df}{d\lambda}\right\vert##, I get the correct expression for the Planck distribution with respect to wavelength. Is this just distribution functions being represented as a ratio of derivatives?
 
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  • #2
I would say, more simply, that the relation follows because ##p=\hbar k## and ##\int \vert\tilde{\phi}\vert^{2}dp## is a dimensionless probability and so is ##\int \vert\phi\vert^{2} dk##.
 
  • #3
For OP: In statement of problem, why is it ##\sqrt(\hbar) ## and not just ##\hbar##????
 
  • #4
My apologies. Yes, it is ##\hbar## that shouldn't be squared.
 
  • #5
shouldn't be square-rooted.
 
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FAQ: Is a Distribution Function a Ratio of Differentials?

What is a distribution function in statistics?

A distribution function, often referred to as a cumulative distribution function (CDF), is a function that describes the probability that a random variable takes on a value less than or equal to a specific value. It provides a complete description of the probability distribution of a random variable.

What are differentials in the context of calculus?

Differentials in calculus refer to infinitesimally small changes in variables. They are used to approximate changes in functions and are fundamental in defining derivatives and integrals. The differential of a function gives us a way to understand how the function changes as its input changes.

Can a distribution function be expressed as a ratio of differentials?

While a distribution function itself is not typically expressed as a ratio of differentials, the probability density function (PDF), which is the derivative of the CDF, can be related to differentials. The PDF describes the likelihood of a random variable taking on a specific value and can be thought of as a ratio of the differential of the distribution function to the differential of the variable.

How does the concept of differentials apply to probability density functions?

The probability density function (PDF) is the derivative of the cumulative distribution function (CDF) with respect to the variable. Mathematically, if \( F(x) \) is the CDF, then the PDF \( f(x) \) is given by \( f(x) = \frac{dF(x)}{dx} \). This relationship shows how the concept of differentials is used to derive the PDF from the CDF.

Is the ratio of differentials a common way to describe distribution functions in statistics?

No, the ratio of differentials is not a common way to describe distribution functions directly. Instead, distribution functions are typically described using their cumulative distribution functions (CDFs) and probability density functions (PDFs). The differentials come into play when differentiating the CDF to obtain the PDF, but the distribution function itself is not usually expressed as a ratio of differentials.

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