I Tried Creating a New Math Theorem: A Weighted Fourth-Power Distance Identity
We all know famous theorems like the Pythagorean theorem.
It is simple, beautiful, and powerful.
That made me wonder:
Can we create a small but real mathematical theorem today?
Not just a random formula.
A theorem should have:
- a clear statement,
- a proof,
- examples,
- and a reason why it is interesting.
So I explored a geometry idea involving points on a circle and distances from any point in the plane.
The result is a small theorem I am calling:
Shaswat’s Weighted Moment-Circle Theorem
This theorem is about a hidden symmetry in the sum of fourth powers of distances.
The Main Idea
Imagine some points placed on a circle.
Now take any point P anywhere in the plane.
From P, measure the distance to every point on the circle.
Usually, these distances depend on the direction of P.
But under a special balance condition, something interesting happens:
The weighted sum of the fourth powers of those distances depends only on how far
Pis from the center of the circle.
It does not depend on the direction of P.
That means the value is rotationally symmetric.
The Theorem
Let the points be:
These points lie on a circle of radius R, centered at O.
Assign positive weights:
Let the total weight be:
Represent each point A_i using a complex number u_i, with the center O as the origin.
So every point satisfies:
Now suppose the weighted first and second moments vanish:
and
Then, for any point P in the plane with OP = ρ, we have:
In Simple Words
If the points on the circle are balanced strongly enough, then:
depends only on the distance of P from the center.
It does not depend on where around the circle P is located.
So if two points P and Q are the same distance from the center O, then:
That is the hidden symmetry.
Why This Is Interesting
For regular polygons, distance identities like this are already known.
For example, if the points are the vertices of a regular polygon, the symmetry is expected.
But this theorem explains the phenomenon using moment conditions.
Instead of saying:
The points must form a regular polygon.
We say:
The weighted first and second complex moments must vanish.
That gives a more flexible condition.
It can include some non-regular weighted arrangements too.
Proof
Let the complex coordinate of point P be p.
Since OP = ρ, we have:
Each point A_i has complex coordinate u_i, and since all A_i lie on the circle of radius R:
The squared distance between P and A_i is:
Expanding this:
Since |p| = ρ and |u_i| = R, we get:
Let:
and
Then:
Therefore:
Now sum with weights:
Expanding:
Since T is constant:
Now look at the middle term:
So:
By assumption:
Taking conjugates gives:
Therefore:
So the middle term disappears.
Now calculate the last term:
Expanding:
Now sum with weights:
By the second assumption:
Taking conjugates:
Also:
and
So:
Therefore:
Now substitute back:
Since:
we get:
Expanding:
So:
Hence proved.
Example: Regular Triangle
Take an equilateral triangle on a circle of radius R.
Let all weights be equal to 1.
Because of symmetry:
and
So the theorem applies.
Here:
Therefore, for any point P with OP = ρ:
So if P moves around a circle centered at O, the value stays constant.
Only the distance from the center matters.
Example: Square
For a square centered at O, again the first and second moments vanish.
So for four vertices:
Hence:
This is another clean version of the identity.
Locus Interpretation
Suppose we want all points P such that:
Using the theorem:
This only depends on ρ, which is the distance of P from the center.
So the locus is a circle centered at O, if a real solution exists.
That is beautiful because a complicated-looking distance equation becomes a simple circular locus.
What Makes This Theorem Useful?
This theorem gives a compact way to understand fourth-power distance sums.
It connects:
- geometry,
- complex numbers,
- weighted averages,
- symmetry,
- and moments.
The result also gives a simple test:
and
If both conditions hold, then the fourth-power distance sum becomes radial.
That means the expression becomes much easier to analyze.
Is This Completely New?
I want to be careful here.
Many formulas about distances to regular polygons and points on a circle already exist.
So I am not claiming that every part of this is historically new.
A safer and more honest claim is:
This is a weighted moment-based formulation of a fourth-power distance identity on the circle.
The regular polygon case is known, but this moment-condition version gives a nice generalization and a clean proof.
Before publishing this as a formal research paper, it should be checked by a mathematics professor or someone experienced in geometry/algebra.
But as a mathematical note, learning experiment, or blog post, it is a valid and interesting result.
Final Theorem Again
Let A_i be points on a circle of radius R, represented by complex numbers u_i, and let w_i > 0.
If:
and
then for any point P with OP = ρ:
where:
That is the theorem.
Closing Thought
The beautiful thing about mathematics is that even simple objects like a circle can hide deep symmetry.
Sometimes, creating a theorem is not about finding something extremely complicated.
It is about noticing a pattern, stating it clearly, proving it, and connecting it to existing ideas.
This was my attempt at doing that.
Thanks for reading.








