Summing over continuum and uncountable numerocities

  • #1
Anixx
80
12
Here I want to address of the question if it is possible to make a sum over an uncontable set and discuss integration rules involving uncountably infinite constants.
I will provide introduction in very condensed form to get quicker to the essense.

Conservative part

First of all, let us introduce a concept of numerocity of a set, starting from the subsets of integers.

##N(S)=\sum_{k=-\infty}^\infty p_s(k)=p_s(0)+\sum_{k=1}^\infty p_s(k)+\sum_{k=1}^\infty p_s(-k)##

here, ##p_s## is the indicator function of ##S##. As we can see, in general, numerocity is a divergent series, characterized by the rate of growth and regularized value.

The concept of numerocity is, unlike cardinality, additive. Numerocity of union of two non-intersecting sets is the sum of the numerocities of each one (Euclid's principle as opposed to Cantor-Hume principle implemented in cardinality).

Now, what if we want to generalize a numerocity to other countable sets, which are not necessarily subsets of integers? For instance, we need to count the numerocity of of the roots of a given function. It turns out, that the following expression of distributions often works: ##\delta(f(x))|f'(x)|##. The following integral ##\int_{(a,b)}\delta(f(x))|f'(x)|dx## gives the number of roots of the function ##f(x)## on the interval ##(a,b)##, so we take this integral (which also can be divergent if the numerocity of the roots is infinite) as the numerocity of the roots.

We will denote ##\overline{\delta}(x)=\delta(f(x))|f'(x)|## as the "squarable delta function", and generalize it to other cases via the definition that ##\int_{S}\overline{\delta}(f(x))dx## gives the number of roots of ##f(x)## on ##S##.

Unlike the conventional Delta distribution, squarable delta function satisfies the property ##\overline{\delta}(a x)=\overline{\delta}(x)##, so it allows piece-wise definition.

Via Fourier and Laplace transforms we can see that ##\frac 1\pi\int_0^\infty dx=\overline{\delta}(0)##, so we can define it piecewise

##\overline{\delta}(x)={\begin{cases}\frac 1\pi\int_0^\infty dx,&{\text{if }}x=0\\ 0,&{\text{if }}x\ne 0.\end{cases}}##

or, more generally,

##\overline{\delta}(x)^p={\begin{cases}\frac p{\pi^p}\int_0^\infty x^{p-1}dx,&{\text{if }}x=0\\ 0,&{\text{if }}x\ne 0.\end{cases}}##

Here we introduce some more notations. First, we introduce the constant ##\omega=\pi \overline{\delta}(0)=\int_0^\infty dx##. We can see this constant as the germ on infinity of the function ##f(x)=x##. Since the constant is equal to ##\frac12 \sum_{k=-\infty}^\infty1##, it is half of the numerocity of integers, equal to the numerocity of even or odd numbers: ##\omega=1/2 N(\mathbb Z)##. This ##\omega## is the most simple infinite quantity, which can be encountered in the theory of formal power series or Hardy fields.

Using this constant, we can express numerocities in integral form: ##N(S)=\frac1\pi\int_S p_s(x)\omega dx##.

Second notation to introduce is ##u(x)##, a unit impulse function, or discrete delta function: ##u(x)=0^{|x|}##, it is equal to ##1## at zero and otherwise, ##0##. So, ##\overline{\delta}(x)=u(x)\omega##.

Third note on notation is that we will understand ##\int_a^b=\frac12 \int_{(a,b)}+\frac12\int_{[a,b]}##, in other words, the limits of an integral are half-included in the set over which we integrate.

Using these new notation we can write down the general rule for ##\omega##:
##\int_{-1}^1 u(x)f(\omega ) \, dx=f'(\omega )## for any analytic ##f##. For functions, satisfying the requirements of Hardy filds (that is, which have germs at infinity), it is also equal to ##f'(0)+\int_0^\infty f''(x)dx##.

An interesting consequence is that ##\int_{-1}^1 u(x)e^\omega dx=e^\omega##.

Novel part

A question: what is the numerocity of an uncountable set, say an interval ##[0,1)##?

We can express this numerocity using an integral:

##N([0,1))=\int_0^1 \omega dx##

But this quantity cannot be represented as analytic function or power series of ##\omega## or germ of a real function at infinity because otherwise it could be equal to a numerocity of a countable set. In this sense, it is different from cardinal arithmetic, where ##2^{\aleph_0}=\aleph_1##.

In this light, we introduce another constant, ##\alpha##, as a numerocity of interval ##[0,\pi)##:

##\alpha=N([0,\pi))=\pi N([0,1))=\int_0^\pi \overline{\delta}(0)dx=\int_0^1 \omega dx##

For some reason, chosing the interval ##[0,\pi)## instead of ##[0,1)## simplifies further expressions.

The regularized value (finite part) of numerocity of a set is equal to its Euler's characteristic, thus, the regularized value of ##\alpha## is ##0##.

We can now express the numerocity of reals: ##N(\mathbb{R})=N(\mathbb Z)\cdot N([0,1))=\frac{2\omega\alpha}\pi=\frac1\pi\int_{-\infty}^\infty \omega dx##.

Like ##\omega##, ##\alpha## does not behave under integrals like a finite constant. We need to derive rules of ealing with this constant under integrals.

From the rule that numerocity of Cartesian product of two sets is the product of numerocities, we get:

##\int_0^1 \omega \alpha ^n \, dx=\alpha ^{n+1}##

More generaly,

##\int_0^1 \omega f(\alpha) \, dx=\alpha f(\alpha) \tag1##

also

##\int_0^1 f(\omega ) \, dx=\alpha f'(\omega )+f(0)\tag2##

and more generally,

##\int_0^1 f(\omega ) g(x) \, dx=\left(\alpha f'(\omega )+f(0)\right) \int_0^1 g(x) \, dx \tag3##

Some examples part

Introducing yet another constant ##\lambda=-\ln\omega-\gamma=-\int_0^1\frac1x dx## (which due to the last expression we also can call "logarithm of zero"), from the rule ##(3)## we can derive interesting equalities:

##\int_0^1 \frac{\omega }{x} \, dx=-\lambda\alpha##

##\int_0^{\infty } \ln \omega \, dx=\alpha + \lambda \omega##

##\int_0^{\infty } \lambda \, dx=\omega \ln \omega -\alpha##

Since ##\lambda\omega=-\int_0^{\infty } | \tan x| \, dx##, we can obtain an interesting expression for ##\alpha##:

##\alpha=\int_0^{\infty } | \tan x| \, dx+\int_0^{\infty } \ln \omega \, dx##

(here the first term is countably-infinite, less than ##\omega^2##, for instance, and the second term is uncountably-infinite, thus, much greater)

-----------------

The question is: how can we expand these rules of integration involving ##\alpha## to cover all possible cases? Particularly,

* How to reconcile formula ##(1)## and formula ##(3)## so to cover expressions of the form ##\int_0^1 f_1(\alpha)f_2(\omega)g(x)dx##?

* What is the value of ##\int_{-1}^1 u(x)\alpha dx##?

* Will integral ##\int_0^1 \alpha dx## produce a numerocity of a set of cardinality higher than continuum, that cannot be expressed as a power series of ##\alpha##? Is this hierarchy infinite?
 
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  • #2
This is all a bit weird, to be honest. It seems as if you wanted to reinvent measure theory. I recommend that you study, e.g. https://terrytao.files.wordpress.com/2012/12/gsm-126-tao5-measure-book.pdf first, since the least you should do is answer the question where your concept differs from existing concepts.

Moreover, PF does not allow the discussion of personal theories, so this thread is closed.
 
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Likes topsquark

1. What is meant by "summing over continuum and uncountable numerocities"?

Summing over continuum and uncountable numerocities refers to the process of adding up an infinite number of values that are not discrete or countable. This means that the values being added can take on any real number within a given range, rather than being limited to whole numbers or a specific set of values.

2. Why is it important to consider continuum and uncountable numerocities in scientific research?

In many scientific fields, especially in physics and mathematics, the concept of infinity and uncountable values is crucial for understanding and solving complex problems. By considering continuum and uncountable numerocities, scientists are able to model and analyze systems that would otherwise be impossible to understand using discrete values.

3. How is summing over continuum and uncountable numerocities different from traditional summation methods?

Traditional summation methods involve adding up a finite number of values, usually in a specific order or pattern. Summing over continuum and uncountable numerocities, on the other hand, involves adding an infinite number of values that can vary within a certain range. This requires a different approach and mathematical tools, such as integrals, to accurately calculate the sum.

4. Can continuum and uncountable numerocities be visualized or represented graphically?

Yes, continuum and uncountable numerocities can be visualized and represented graphically using tools such as graphs, charts, and diagrams. However, these representations may not accurately depict the infinite nature of these values and are often used as a visual aid to better understand the concept rather than as a precise calculation method.

5. Are there any real-world applications of summing over continuum and uncountable numerocities?

Yes, there are many real-world applications of summing over continuum and uncountable numerocities. For example, in physics, this concept is used to calculate the total energy or mass of a system, which may involve an infinite number of particles or values. In economics, it is used to model and analyze continuous variables, such as inflation rates or stock prices. It is also used in computer science and engineering to optimize algorithms and solve complex problems.

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