Cauchy Principal Value – Why It Is the Correct Value for an Integral

cauchy-principal-valueintegrationmathematical physicsprobability distributions

I haven't been able to find a good answer to this searching around online. There is a related old question here, but it never received much attention.

Suppose I have some physical property that I believe depends on $\int_{-\infty}^{\infty}xdx$. Ordinarily, we would say the integral is undefined, but we could also hypothetically take the Cauchy principal value and say the integral evaluates to zero.

My question is under what conditions should I let the integral remain undefined and when should it equal zero? It seems odd to me that based on different circumstances of the problem we could say that the same integral has different values. For pure math, as long as you work within a consistent framework, it doesn't really matter which you decide is true. But for physics, chemistry, etc if the integral relates to some property, it would seem there would be some definitive, empirical solution to the problem.

This question arises from some problems I have been doing with the Cauchy distribution. It seems that for certain physical examples, there is certain camp that treats the location parameter as the mean of the distribution, which is effectively saying the integral to determine the mean is equal to its principal value. I don't like this because it seems to suggest to me that all the higher order odd moments could also be argued to exist, at least in case where the distribution is symmetric about zero,

Best Answer

The Cauchy principal value is very important, especially in cases where the Lebesgue integral (which it seems you refer to as the improper integral) does not exist. The issue is that the Lebesgue integral doesn't deal too well with really big oscillations. Indeed, a measurable function $f$ is Lebesgue integrable if and only if $|f|$ is, so oscillations don't matter - only the magnitude does. This becomes problematic when dealing with functions such as $\frac{\sin x}{x}$ on $(0,\infty)$ or $\frac{1}{x}$ on $(-1,1)\setminus\{0\}$.

A purpose of the Cauchy principal value is to rectify this problem, to take into account oscillations like the Riemann integral does and give a meaningful number that represents the integral (i.e. scaled average) of the function in question. The Cauchy p.v. of $\frac{1}{x}$ is $\lim\limits_{\epsilon \to 0^+} \int_{-1}^{-\epsilon} \frac{1}{x}dx+\int_{\epsilon}^1 \frac{1}{x}dx = 0$, which coincide with our intuition for what the average value of $\frac{1}{x}$ should be.

The most prominent use of the Cauchy principal value is the Hilbert transform, in which we study $\int \frac{f(x-y)}{y}dy$, which of course, needs to be defined properly. It is critical here that we don't just say the improper integral exists, but rather get a quantitative sense of the oscillation present.

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