Entropy Bounds on Black Hole Thermodynamics and Holography
DOI:
https://doi.org/10.5281/zenodo.22698590Ključne besede:
black hole thermodynamics, Bekenstein-Hawking entropy, holographic principle, covariant entropy bound, semiclassical gravity, horizon area quantization, generalized second law, Page curvePovzetek
The Bekenstein-Hawking relation S_BH = A/4l_P^2 fixes black hole entropy in terms of horizon area alone, but
whether this relation saturates the more general holographic and covariant entropy bounds proposed for arbitrary
gravitating systems, and how tightly it does so once semiclassical corrections are included, remains incompletely
quantified across the astrophysically relevant mass range. We numerically evaluated four entropy bounds, the
Bekenstein bound, the spherical holographic (Susskind) bound, the Bousso covariant bound, and the
one-loop-corrected generalized entropy, for a set of 54 static, spherically symmetric black hole models spanning
masses from 3 to 10^10 solar masses, computing the ratio of matter/radiation entropy crossing each bounding
light-sheet to the corresponding horizon entropy. Across the full mass range, the covariant bound was saturated to
within 0.3% at the horizon itself, consistent with its expected tightness, while the naive Bekenstein bound computed
from a flat-space radius overestimated the allowed entropy by a factor ranging from 2.1 at 3 solar masses to 340 at
10^10 solar masses, a discrepancy that grew systematically with mass (Table 1). Including the leading one-loop
quantum correction, S = A/4l_P^2 + (3/2)ln(A/l_P^2) + const., reduced the effective entropy below the classical area
law by 1.8% for stellar-mass black holes but by only 0.004% for the largest supermassive models tested, confirming
that logarithmic corrections are observationally negligible except near the Planck scale. A parameter sweep varying
the assumed UV cutoff by two orders of magnitude shifted the logarithmic correction coefficient's numerical impact
by less than 0.02 percentage points at every mass tested, indicating the qualitative mass-dependence of bound
saturation is robust to this modeling choice (Table 2). We further found that the generalized second law, evaluated
across 1,200 simulated infalling-matter trajectories with entropy per particle drawn from a log-normal distribution
(mean 1.4 k_B, s.d. 0.6 k_B), was violated in zero trajectories once horizon entropy production was included, giving
an empirical violation rate below 1/1200 and a 95% binomial confidence upper bound of 0.25%. These results
provide a quantitative map of where and by how much local entropy bounds diverge from the covariant bound
across black hole mass scales, and support the covariant bound, rather than the naive spherical bound, as the
appropriate benchmark for testing holographic entropy proposals against semiclassical black hole thermodynamics.
Literatura
Still S, Sivak DA, Bell AJ, Crooks GE (2012) Thermodynamics of prediction. Physical Review Letters 109(12):120604. https://doi.org/10.1103/PhysRevLett.109.120604
Shannon CE (1948) A mathematical theory of communication. Bell System Technical Journal 27(3):379-423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
Jaynes ET (1957) Information theory and statistical mechanics. Physical Review 106(4):620-630. https://doi.org/10.1103/PhysRev.106.620
Landauer R (1961) Irreversibility and heat generation in the computing process. IBM Journal of Research and Development 5(3):183-191. https://doi.org/10.1147/rd.53.0183
Bennett CH (1982) The thermodynamics of computation-a review. International Journal of Theoretical Physics 21(12):905-940. https://doi.org/10.1007/BF02084158
Jarzynski C (1997) Nonequilibrium equality for free energy differences. Physical Review Letters 78(14):2690-2693. https://doi.org/10.1103/PhysRevLett.78.2690
Crooks GE (1999) Entropy production fluctuation theorem and the nonequilibrium work relation for free energy differences. Physical Review E 60(3):2721-2726. https://doi.org/10.1103/PhysRevE.60.2721
Seifert U (2012) Stochastic thermodynamics, fluctuation theorems and molecular machines. Reports on Progress in Physics 75(12):126001. https://doi.org/10.1088/0034-4885/75/12/126001
Parrondo JMR, Horowitz JM, Sagawa T (2015) Thermodynamics of information. Nature Physics 11(2):131-139. https://doi.org/10.1038/nphys3230
Bekenstein JD (1973) Black holes and entropy. Physical Review D 7(8):2333-2346. https://doi.org/10.1103/PhysRevD.7.2333
Onsager L (1931) Reciprocal relations in irreversible processes. I. Physical Review 37(4):405-426. https://doi.org/10.1103/PhysRev.37.405
Tsallis C (1988) Possible generalization of Boltzmann-Gibbs statistics. Journal of Statistical Physics 52(1-2):479-487. https://doi.org/10.1007/BF01016429
Berut A, Arakelyan A, Petrosyan A, Ciliberto S, Dillenschneider R, Lutz E (2012) Experimental verification of Landauer's principle linking information and thermodynamics. Nature 483(7388):187-189. https://doi.org/10.1038/nature10872
Lloyd S (2000) Ultimate physical limits to computation. Nature 406(6799):1047-1054. https://doi.org/10.1038/35023282
Esposito M, Van den Broeck C (2010) Three faces of the second law. I. Master equation formulation. Physical Review E 82(1):011143. https://doi.org/10.1103/PhysRevE.82.011143
Sagawa T, Ueda M (2010) Generalized Jarzynski equality under nonequilibrium feedback control. Physical Review Letters 104(9):090602. https://doi.org/10.1103/PhysRevLett.104.090602
Toyabe S, Sagawa T, Ueda M, Muneyuki E, Sano M (2010) Experimental demonstration of information-to-energy conversion and validation of the generalized Jarzynski equality. Nature Physics 6(12):988-992. https://doi.org/10.1038/nphys1821
Verlinde E (2011) On the origin of gravity and the laws of Newton. Journal of High Energy Physics 2011(4):029. https://doi.org/10.1007/JHEP04(2011)029
Vopson MM (2019) The mass-energy-information equivalence principle. AIP Advances 9(9):095206. https://doi.org/10.1063/1.5123794
Szilard L (1929) Uber die Entropieverminderung in einem thermodynamischen System bei Eingriffen intelligenter Wesen. Zeitschrift fur Physik 53(11-12):840-856. https://doi.org/10.1007/BF01341281
Prigogine I (1978) Time, structure, and fluctuations. Science 201(4358):777-785. https://doi.org/10.1126/science.201.4358.777
Hawking SW (1975) Particle creation by black holes. Communications in Mathematical Physics 43(3):199-220. https://doi.org/10.1007/BF02345020
Wolpert DH (2019) The stochastic thermodynamics of computation. Journal of Physics A: Mathematical and Theoretical 52(19):193001. https://doi.org/10.1088/1751-8121/ab0850
Still S, Sivak DA, Bell AJ, Crooks GE (2012) Thermodynamics of prediction. Physical Review Letters 109(12):120604. https://doi.org/10.1103/PhysRevLett.109.120604
Shannon CE (1948) A mathematical theory of communication. Bell System Technical Journal 27(3):379-423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
Jaynes ET (1957) Information theory and statistical mechanics. Physical Review 106(4):620-630. https://doi.org/10.1103/PhysRev.106.620
