Can Singular Points Be Smoothly Transformed to Achieve Differentiability?

AI Thread Summary
The discussion centers on the mathematical procedures for transforming singular points into a smooth, differentiable continuum. A key suggestion involves using Bézier curves to connect singularities, allowing for differentiability at those points. The concept of topological transformations is also explored, with an example of transforming an inscribed triangle into a circle while maintaining differentiability. The original poster seeks a method that avoids arbitrary choices and focuses on achieving at least once-differentiable continuity. Overall, Bézier curves are highlighted as a viable solution for achieving the desired smoothness around singular points.
SW VandeCarr
Messages
2,193
Reaction score
77
Is there a correct mathematical procedure to remove singular points so as to create a smooth continuum, differentiable everywhere? For example,for cusp singularities, is some kind of acceptable "cutting and joining" procedure available at the limit? I asked a similar question in the topology forum some time ago but never got an answer.

If we allow topological transformations, it seems to me that (for example) an inscribed equilateral triangle could be smoothly transformed to a circle without cutting and joining such that the points at the tips of the triangle become differentiable points on the circle.

http://mathworld.wolfram.com/SingularPoint.html

EDIT: I know "at the limit" can be problematical, but I'm trying to avoid arbitrary choices.
 
Last edited:
Mathematics news on Phys.org
SW VandeCarr said:
Is there a correct mathematical procedure to remove singular points so as to create a smooth continuum, differentiable everywhere?

If all you need is (once-)differentiable* everywhere, you could choose some epsilon around every singularity and rejoin the pieces with Bézier curves. If you want infinite differentiability... nothing immediately comes to mind.

* Or indeed, if all you need is a fixed number of derivatives, just choose a sufficiently large degree.
 
Last edited:
CRGreathouse said:
If all you need is (once-)differentiable* everywhere, you could choose some epsilon around every singularity and rejoin the pieces with Bézier curves. If you want infinite differentiability... nothing immediately comes to mind.

* Or indeed, if all you need is a fixed number of derivatives, just choose a sufficiently large degree.

Thanks GR. Bezier curves seem to be what I was looking for. I was trying a constructive method by defining an isosceles triangle with two points on the limbs of the cusp and the third point at the singular point. I would then bisect the apical angle with a line through the singular point and then take the perpendicular to the bisector at the singular point and call that the first estimate of the tangent. I could refine the estimate by shortening the limbs of the triangle. If I understand Bezier's method correctly, this constructive method seems to follow the same line of reasoning.

I don't really need anything specific in terms of the number of derivatives. As you suggest, I should, in principle, get any finite number of derivatives just by refining the estimate.
 
Thread 'Video on imaginary numbers and some queries'
Hi, I was watching the following video. I found some points confusing. Could you please help me to understand the gaps? Thanks, in advance! Question 1: Around 4:22, the video says the following. So for those mathematicians, negative numbers didn't exist. You could subtract, that is find the difference between two positive quantities, but you couldn't have a negative answer or negative coefficients. Mathematicians were so averse to negative numbers that there was no single quadratic...
Insights auto threads is broken atm, so I'm manually creating these for new Insight articles. In Dirac’s Principles of Quantum Mechanics published in 1930 he introduced a “convenient notation” he referred to as a “delta function” which he treated as a continuum analog to the discrete Kronecker delta. The Kronecker delta is simply the indexed components of the identity operator in matrix algebra Source: https://www.physicsforums.com/insights/what-exactly-is-diracs-delta-function/ by...
Thread 'Unit Circle Double Angle Derivations'
Here I made a terrible mistake of assuming this to be an equilateral triangle and set 2sinx=1 => x=pi/6. Although this did derive the double angle formulas it also led into a terrible mess trying to find all the combinations of sides. I must have been tired and just assumed 6x=180 and 2sinx=1. By that time, I was so mindset that I nearly scolded a person for even saying 90-x. I wonder if this is a case of biased observation that seeks to dis credit me like Jesus of Nazareth since in reality...

Similar threads

Back
Top