As a postscript to the succinct, skillful answer of user250938 to the question, was added:
"it seems that your mathoverflow table is inconsistent. The first six entries are solvable, but after adding the seventh it is inconsistent." (The tabular reference [reproduced below] is to https://mathoverflow.net/questions/359986/what-is-the-relevant-literature-if-any-on-real-valued-functions-on-sets-and-th .)
Here, we begin by presenting an answer (parameterized by the variable G[2])--based on the "atomic" code included by user250938--that fits seven--vs. six--of the fifteen entries of the table exactly, and with a subsequent setting of the variable G[2] to simply $\frac{1}{16}$, yields all but two of the fifteen to within 0.004 of the quasirandom-estimated values.
Then, further interesting aspects will emerge, leading us, it seems, tantalizingly close to a complete solution (involving the removal of the inconsistencies), it appears.
For the convenience of the reader, let us reproduce the mathoverflow table in question (performing the user250938 relabeling, $P= A, S=B,PPT=C$).
$\left(
\begin{array}{ccc}
\hline
Constraint Imposed & Probability & Quasirandom Estimate \\
\hline
\hline
\_ & 1 & 1.0000000 \\
\text{C} & \frac{8 \pi }{27 \sqrt{3}} & 0.53742158 \\
\neg A\land \neg B & \frac{21}{44} & 0.47726800 \\A & \frac{1408 \sqrt{3} \pi -405}{14256} & 0.50900327 \\
B & \frac{1}{81} \left(27+\sqrt{3} \log \left(97+56 \sqrt{3}\right)\right) & 0.44597788
\\
A\land B & \frac{680}{1573} & 0.43224916 \\
A\lor B & \frac{23}{44} & 0.52273200 \\
\neg A\lor \neg B & \_ & 0.56775084 \\
\text{C}\land \neg A\land \neg B & \_ & 0.45591798 \\
\text{C}\land A & \_ & 0.079128512 \\
\text{C}\land B & \frac{2}{81} \left(4 \sqrt{3} \pi -21\right) & 0.018903658 \\
\text{C}\land A\land B & \frac{2}{121} & 0.016528575 \\
\text{C}\land (A\lor B) & \_ & 0.081503595 \\
\text{C}\land (\neg A\lor \neg B) & \_ & 0.52089300 \\
\hline
\text{C}\land B\land \neg A & \frac{25}{69984} & 0.00035722451 \\
\neg \text{C}\lor B & \frac{13}{27} & 0.48148148 \\
\end{array}
\right)$
As a first equation, in attempting to fit this table, we require--as in the answer to Can one usefully apply the Boolean functions of Mathematica to measurable Boolean sets?
Sum[G[i], {i, 0, 7}] == 1,
followed by (using the code of user250938),
G[0] + G[1] + G[2] + G[4] == (8 [Pi])/(27 Sqrt[3]) .
Then,
G[0] + G[1] + G[3] + G[5] == 1/81 (27 + Sqrt[3] Log[97 + 56 Sqrt[3]])
and
G[0] + G[1] == 2/81 (-21 + 4 Sqrt[3] \[Pi]) .
are added.
These last three values (RHS) were obtained by symbolic integration (https://arxiv.org/abs/2004.06745--for details), so they have our full confidence. The subsequent values are essentially conjectures based on numerical integrations
(of the quasirandom nature and also with the use of NIntegrate--although it is challenging to obtain high precision with its use).
Further, we added the equations,
G[1] == 25/69984,
G[4] + G[7] == 21/44,
G[0] + G[3] == 680/1573,
and
G[0] + G[1] + G[3] + G[5] + G[6] + G[7] == 13/27
(but this last one is redundant with the first three exact equations, and can be omitted).
It will be noted that we did not fit here the tabular conjectured value of $\frac{1408 \sqrt{3} \pi -405}{14256}$. An attempt to fit this may have led to the eventual inconsistency observed by user250938. (We propose a well-fitting alternative, related to other entries, at the end.)
Then, the command
Solve[{Sum[G[i], {i, 0, 7}] == 1, G[0] + G[1] + G[2] + G[4] == (8 Pi)/(27 Sqrt[3]), G[0] + G[1] + G[3] + G[5] == 1/81 (27 + Sqrt[3] Log[97 + 56 Sqrt[3]]),G[0] + G[1] == 2/81 (-21 + 4 Sqrt[3] Pi), G[1] == 25/69984,G[4] + G[7] == 21/44, G[0] + G[3] == 680/1573}, {G[0], G[1], G[2], G[3], G[4], G[5], G[6], G[7]}]
gave us the seven-dimensional solution
{{G[0] -> (-36313 + 6912 Sqrt[3] \[Pi])/69984, G[1] -> 25/69984, G[3] ->(104709469 - 10872576 Sqrt[3] \[Pi])/110084832, G[4] -> 14/27 - G[2], G[5] -> (-10933501 + 1359072 Sqrt[3] Log[97 + 56 Sqrt[3]])/110084832, G[6] -> -G[2] + (675 - 44 Sqrt[3] Log[97 + 56 Sqrt[3]])/3564, G[7] -> -(49/1188) + G[2]}}
Some, subsequent least-squares fitting on the non-exactly fitted values, led us to set G[2] to $\frac{1}{16}$. With this amplified fit, the ratios of the fifteen values of the table (we, of course, disregard the initial 1.000000) to the numerical ("quasirandom" estimated) values were (we did not have such quasirandom estimates for the demarcated last two entries) were
{1.000000853, 1.000009897, 1.000082107, 0.9999984341, 1.000105999,0.9999909637, 0.9999192993, 1.000220519, 1.024236259, 0.9999924269,1.122074399, 0.9987720794, 0.9961273095, 1.000000000, 1.000000000}.
So, it seems we still lack a full understanding of the (entanglement-related) probabilities yielded by the imposition of the constraints.
The most egregious deviation from 1 in the immediately preceding list of ratios, 1.122074399, is for the relatively small value of $\frac{2}{121}$, so its severity may not be as strong as first appears.
It appeared that we needed to perform additional analyses in which the equation
G[0] == 2/121
would, in fact, be fitted, as well. It--as the ratio of 1.122074399 indicates--is not consistent with the seven-dimensional exact solution given above--so it would seem all our exact values (except the three obtained by symbolic integration) remain somewhat in question.
If we do, in fact, include G[0]==2/121, but omit the $\frac{25}{69984}$-based equation, while now keeping the G[2]==1/16 one, the list of ratios becomes
{1.000000853, 1.000009897, 1.000082107, 0.9999984341, 1.000105999,0.9999909637, 0.9999192993, 1.000220519, 0.9987414634, 0.9999924269,1.000021215, 0.9987720794, 1.000000207, 6.647331447, 1.000000000},
with only the $\text{C}\land B\land \neg A$ constraint probability now strongly outstanding (corresponding to the related omission of the equation for
$\frac{25}{69984}$).
The results of these and supplementary analyses, yielding predictions for the probabilities for all the constraints, leads us to propose a replacement probability of
11735/18876 - Log[97 + 56 Sqrt[3]]/(27 Sqrt[3])
for constraint A, it having a ratio of 1.0000821 to the quasirandom estimate.
Also, for constraint $\text{C}\land (\neg A\lor \neg B)$, a strongly convincing
value is
-(2/121)+(8 \[Pi])/(27 Sqrt[3])
having a ratio of 1.000000207 to the quasirandom estimate.
So, it seems that these last two exact values should be incorporated into the master table above, and companion analyses conducted.
Implementation of the procedures given in the answer to the question by user250938, thus, leads us to present a revised table. (I will look into the possibility of including a fourth column, giving the ratio of the symbolic formulas to the estimates--but this may be too cramped a format.)
$\left(
\begin{array}{ccc}
\hline
Constraint Imposed & Probability & Quasirandom Estimate \\
\hline
\hline
\_ & 1 & 1.0000000 \\
\text{C} & \frac{8 \pi }{27 \sqrt{3}} & 0.53742158 \\
\neg A\land \neg B & \frac{21}{44} & 0.47726800 \\A & \frac{11735}{18876}-\frac{\log \left(97+56 \sqrt{3}\right)}{27 \sqrt{3}} & 0.50900327 \\
B & \frac{1}{81} \left(27+\sqrt{3} \log \left(97+56 \sqrt{3}\right)\right) & 0.44597788
\\
A\land B & \frac{680}{1573} & 0.43224916 \\
A\lor B & \frac{23}{44} & 0.52273200 \\
\neg A\lor \neg B & \frac{893}{1573} & 0.56775084 \\
\text{C}\land \neg A\land \neg B & \_ & 0.45591798 \\
\text{C}\land A & \_ & 0.079128512 \\
\text{C}\land B & \frac{2}{81} \left(4 \sqrt{3} \pi -21\right) & 0.018903658 \\
\text{C}\land A\land B & \frac{2}{121} & 0.016528575 \\
\text{C}\land (A\lor B) & \_ & 0.081503595 \\
\text{C}\land (\neg A\lor \neg B) & \frac{8 \pi }{27 \sqrt{3}}-\frac{2}{121} & 0.52089300 \\
\hline
\text{C}\land B\land \neg A & \frac{25}{69984} & 0.00035722451 \\
\neg \text{C}\lor B & \frac{13}{27} & 0.48148148 \\
\end{array}
\right)$
At this point, I have relatively strong confidence in the exact entries of the table--although the two entries (summing to 1) with denominator $1573 =11^2 \cdot 13$ are possibly the most weakly convincing numerically.
The lines still without exact formulas included, remain of substantive ("bound-entanglement") interest.
It is appearing to us that
G[2]->1/16
will be in any eventual complete solution. ($\frac{1}{16}$ appears to be the probability associated with the [non-tabulated] constraint $A \land C \land \neg B$.)
Also, the further individual terms,
G[0]->2/121,
G[3]->654/1573
and
G[6]->(1809-176 Sqrt[3] Log[97+56 Sqrt[3]])/14256,
seem appropriate to employ.
In hindsight, with my present understanding of these Boolean-related questions, I see that it would have been most effective in employing quasirandom estimation to use the eight atoms as the specific targets to estimate--whence all the other combinations could be generated. (Also, I take it that the choice of eight atoms need not be unique--as it serves as a form of "basis" for all the combinations. It might be of value to utilize--if possible--the three fully known exact values as individual atoms themselves.)
BooleanConvert
andBooleanTable
. $\endgroup$