Black-hole entropy and information: SMM/DTT and Emergent and entropic gravity
Can the distinction between inner production and accessible records explain why horizon entropy scales with area, including its normalization? This article compares the source-based construction with Emergent and entropic gravity, identifies their strongest point of contact, and works through a concrete example that separates a valid mathematical result from the further physical relation needed to explain observations.
A black-hole horizon separates what an observer can access from what remains inaccessible, making it a natural place to compare geometry and information. Yet several notions of entropy enter: thermodynamic entropy, entanglement entropy across a boundary, and logarithms of microscopic state counts. They can be related in specified settings but are not interchangeable definitions.
The central benchmark is the semiclassical area law S/kᴮ=A/(4ℓᴾ²), with ℓᴾ²=ħG/c³. An explanation must account for the proportionality, the coefficient, and the physical states being counted. The mere existence of hidden inner configurations does not fix any of these. An arbitrary finite number of records per area cell can fit the area law while leaving its normalization unexplained. [1][2][3]
02The SMM/DTT contribution
DTT treats an outer record as a limited completion of a deeper generative history. A horizon could then constrain which distinctions are jointly retainable or accessible. This is an interesting temporal version of the usual information question: what is lost when many production histories yield the same completed exterior record?
The six nested inner levels can organize the proposed processing of these histories, but their number is not an entropy coefficient. A quantitative model needs a physical equivalence relation on histories, a weighting or state-counting measure, and an account of how horizon area is read out from the same data. Otherwise temporal holography remains a motivating analogy rather than a derivation of black-hole thermodynamics.
Geometry, clocks and propagation as independent readouts. A single source model should explain the relation between separately defined measurements. Sharing a diagram does not impose that relation. View full size ↗
03How Emergent and entropic gravity frames the problem
Thermodynamic and entropic approaches ask whether gravitational equations describe collective information or entropy response. Jacobson's local-horizon argument and Verlinde's entropic-force proposal are distinct constructions, with different assumptions and scopes. Their common lesson is that a familiar gravitational equation can emerge conditionally from nongeometric-looking inputs.
For DTT this creates an attractive bridge from retained histories to macroscopic geometry. However, an entropy count, a temperature and an energy normalization are physical ingredients that need justification. The comparison is strongest when a temporal model explains one of those ingredients and weakest when it simply imports all of them under the name of completion. [2][4]
04Where the mechanisms agree and differ
Entropic gravity uses horizon or screen entropy as an ingredient, whereas DTT could attempt to explain the microscopic production of that entropy. This is one of the most direct points of contact between the two programmes. The shared idea is that geometry may summarize information inaccessible to an observer; the precise difference is whether the information count is derived or assumed.
A completion map naturally groups inner histories into classes with the same outer record. If those classes carry probabilities, their entropy can be defined. But a physical gravitational entropy also requires an area readout and an energy/temperature relation. Six nested levels organize the map without fixing its state density. The cell calculation below demonstrates how easily the area coefficient can be absorbed into an arbitrary microscopic length. A meaningful DTT advance would determine that length and the independent history count through source dynamics, then test the thermodynamic relation separately. This could give an entropic gravitational argument a firmer microscopic basis. It would not show that every entropy change is gravity, or that all observer ignorance contributes with the universal black-hole coefficient. [2][4]
05Worked example: assumptions, calculation and result
Suppose a horizon has N=A/a₀² independent cells, each with q equally allowed states. Then Ω=qᴺ and S=kᴮlnΩ=kᴮ(A/a₀²)lnq. Matching the semiclassical coefficient requires a₀²=4ℓᴾ²lnq. For q=2, this gives a₀≈1.665ℓᴾ.
The result is a consistency relation, not a prediction of the cell size or binary alphabet. Choosing either input to obtain the required coefficient simply transfers the unknown. Correlations, gauge constraints and unequal weights can change the count. This exercise shows what a genuine completion-based entropy theorem would accomplish: it would determine the allowed states and the physical area cost independently, so that their ratio could be compared with 1/(4ℓᴾ²). [1][2][3]
A and a₀² are areas; q is a dimensionless integer in this toy model. The standard entropy formula is semiclassical.
06An independent operational check
A physical state count must also avoid counting gauge copies as distinct states. If several descriptions differ only by a local basis transformation, multiplying the entropy by the number of descriptions would be artificial. Conversely, physically distinct but inaccessible states can contribute to thermodynamic entropy even when an exterior observer cannot distinguish them individually. A completion rule must define that distinction. This is one reason a neutral projector can be useful: its invariant subspace is mathematically identifiable. The entropy still depends on the physical ensemble within that subspace and on how its states relate to independently measured horizon area.
07What follows from the comparison
Information recovery is a further question. An area count says how many states are compatible with a macrostate, but it does not show whether evaporation preserves correlations or how an exterior observer reconstructs them. The most useful DTT comparison keeps state counting, dynamical information flow and observer accessibility connected without treating success at one task as a solution to all three.
THE SAME QUESTION, DIFFERENT STARTING POINTS
The comparison at a glance
Question
SMM/DTT
Emergent and entropic gravity
Starting physical structure
One nonspatial source; six nested inner functional levels produce records accessible through outer completion.
Collective entropy and information variables in a specified thermodynamic construction.
The central mechanism in this topic
Completion classes could supply a microscopic entropy with independently defined geometric cost.
Horizon or screen entropy is a physical input to an effective gravity argument.
How the claim is made operational
A source-to-record map must define geometry, material response and physical clocks with shared inputs.
Entropy-response laws, energy/temperature assignments and effective gravitational relations.
Meaning of agreement
Agreement is a compatibility result; a source-selected relation or fixed residual would add explanatory content.
The stated framework provides a benchmark within its own assumptions and established domain.
KEEP THE CONNECTION
Key ideas
Deriving the entropy density would turn temporal accessibility into a useful gravitational ingredient.
The worked example establishes only the result stated under its explicit assumptions.
Six nested inner levels describe one generative organization; outer time orders accessible completion.
Develops the source construction or operational distinction used in this comparison.
Sources and further reading
References support the comparator and the specific mathematical or interpretive claims indicated. SMM/DTT connections are developed in the analysis above.