Black Holes Remember Everything: Memory Burden Alters Their Oscillations ⚡ экспресс
It is shown that the information load of a black hole affects its classical perturbations within Einstein's gravity — a phenomenon called the 'fast memory burden effect.' The effect is universal for objects with high information-storage efficiency. The strength of manifestation is controlled by the memory burden parameter — the fraction of information space occupied by the load; this is a new macroscopic quantum characteristic. A computational theoretical framework has been developed, yielding key formulas verified on explicit black hole models and solitons with high information capacity. The effect should be significant for spectroscopy of both astrophysical and primordial black holes, and is potentially detectable in gravitational wave experiments. A laboratory test of the memory burden phenomenon with cold bosons in a tabletop setup has also been proposed.
A black hole is like a library. Each bit of information that falls into it is a book. The more books, the heavier the whole building and the more it trembles when shaken. The accumulated information (the “memory burden”) changes the hole’s vibrations when it is disturbed—say, by a merger with another black hole.
A new parameter—the fraction of filled “storage”—becomes as fundamental as mass or spin. The idea dates back to Stephen Hawking and Jacob Bekenstein, who linked black holes to entropy (a measure of information capacity).
This can be tested by analyzing gravitational waves from mergers using spectroscopy—decomposing the signal into frequencies. A similar effect is reproduced in the lab with clouds of cold atoms. The most surprising part: a black hole’s trembling can reveal what it “fed on” billions of years ago.
🎯 One square centimeter of a black hole’s surface could hold an amount of information comparable to the contents of a billion libraries.
🎬 The idea of a black hole as an information repository is familiar from the movie Interstellar, where the protagonist transmits data through a singularity.