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A singular profile for the relativistic heat cost and the special Lagrangian curvature equation

This paper constructs an explicit family of radially structured solutions to demonstrate that generalized solutions for the relativistic heat cost and the two-dimensional special Lagrangian curvature equation possess a sharp interior regularity of exactly C1,12n1C^{1,\frac{1}{2n-1}} (or C1,1/3C^{1,1/3} in dimension two), thereby proving that no higher-order Hölder estimates are possible.

Original authors: Xiao-Tian Wu

Published 2026-07-30
📖 3 min read🧠 Deep dive

Original authors: Xiao-Tian Wu

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine you are trying to move a pile of sand from one spot to another as cheaply as possible. In the world of mathematics, this is called "optimal transportation." You have a starting pile and a destination, and you need a map that tells every grain of sand exactly where to go to minimize the total "cost" of the trip. Usually, mathematicians assume the cost is simple, like the straight-line distance squared. But what if the rules of the road change? What if there's a speed limit? In this paper, the author explores a scenario where mass cannot travel faster than a certain speed, a concept borrowed from Einstein's theory of relativity. This creates a "relativistic cost" where moving things too far or too fast becomes infinitely expensive or impossible. The big question is: if the rules are this strict, does the map telling the sand where to go stay smooth and predictable, or does it get jagged and broken? Understanding this helps mathematicians know the limits of how well-behaved these complex systems can be, even when the inputs are perfect.

In this paper, Xiaotian Wu investigates exactly what happens when we use this "speed-limited" cost to move mass. The main discovery is a bit of a shock: even if you start with a perfectly smooth, round ball of mass and a constant, unchanging rule for how much it costs to move, the resulting map can be surprisingly rough. The author constructs a specific, explicit example of a solution that looks smooth at first glance but has a hidden "kink" in its gradient (the direction the mass is moving). Specifically, the solution is "1.5 times" differentiable in a very specific mathematical sense (technically C1,12n1C^{1, \frac{1}{2n-1}}), but it fails to be any smoother than that. For a two-dimensional world (like a flat sheet), this roughness limit is exactly 1/31/3.

The paper proves that this roughness isn't a mistake or a fluke; it is the absolute best you can hope for. The author shows that you cannot force the solution to be smoother, no matter how nice the starting conditions are. To prove this, Wu builds a "singular profile"—a mathematical shape that acts like a perfect, smooth surface everywhere except for one specific point where it gets jagged. This shape is then used as a limit for a sequence of perfectly smooth solutions. As these smooth solutions get closer and closer to the singular shape, they converge to a final result that is exactly C1,1/3C^{1, 1/3} smooth. This means that for the special geometric equation related to this problem (the "special Lagrangian curvature equation"), there is no "pure interior estimate" that guarantees a smoother result. In other words, you cannot look at the size of the solution alone and predict that its slope will be smooth; the slope can be jagged right in the middle of a smooth-looking surface. The paper rules out the idea that smooth data always leads to smooth maps in this relativistic setting, showing that the geometry of the cost function itself forces a loss of regularity.

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