Physicists Derive 1st Formula for 1993 Spacetime-Crystal Black Hole Collapse
Updated
Updated · Gizmodo · May 22
Physicists Derive 1st Formula for 1993 Spacetime-Crystal Black Hole Collapse
7 articles · Updated · Gizmodo · May 22
A new Physical Review Letters paper lays out the long-sought mathematical formula for how repeating “spacetime crystal” states can tip into black hole formation during critical collapse.
The result targets a problem left open since Matthew Choptuik’s 1993 simulations, which showed spacetime curvature can organize into a repeating pattern near the threshold between dispersal and collapse.
Researchers say the framework gives systematic analytic control and can be refined with added approximations, offering astronomers tighter parameters for probing black hole formation under relatively mild conditions.
Those crystal-like states may have existed shortly after the Big Bang, so the work could sharpen searches for primordial black holes if the theory can be translated into realistic dimensions and tested empirically.
Is the universe’s missing dark matter actually primordial black holes that 'froze' into existence after the Big Bang?
Can the fabric of spacetime truly form 'crystals' and undergo phase transitions, much like water turning into ice?
Breakthrough: First Exact Formula for Spacetime Crystal Collapse Sheds Light on Black Hole Formation
Overview
A major breakthrough in theoretical physics was achieved when researchers from Goethe University Frankfurt and TU Wien derived the first exact mathematical formula describing how spacetime crystals collapse into black holes. For over 30 years, this critical solution was only known through computer simulations, as the equations near the black hole threshold were too complex for analytical solutions. Now, this new formula, published in Physical Review Letters, transforms our understanding by providing a precise, human-derived mathematical description. This advancement marks a significant step forward in understanding extreme gravitational phenomena, moving beyond simulation-dependent insights to exact analytical knowledge.