  An approach to build Probabilistic Arithmetic in which initial values of all
correlated random variables are known, but with varying degrees of accuracy. As
a result of the proposed Probabilistic Arithmetic operations, variable values,
degrees of their accuracy and correlations are refined.
  Probabilistic Generalized Addition (PGA) and Probabilistic Generalized
Multiplication (PGM) operations on correlated random variables are defined and
their basic properties identified and described: \bullet Proposed PGA and PGM
operations possess inverse operations - subtraction and division. \bullet There
is no difference between direct and inverse operations: addition and
subtraction, multiplication and division (this is why these operations are
called "Generalized"). \bullet Division by approximately zero is possible and
the result never equals to \infty, making this approach promising in
computational and computer mathematics. \bullet Unlike the usual hyperbola,
which, when the argument is changing from + \infty to 0, has a gap at 0, the
Generalized Probabilistic Hyperbola, under certain combination of initial
accuracies, is continuous at 0. First, as the argument changes from +\infty to
0, it behaves like a typical hyperbola, monotonically increasing. However,
after reaching certain maximum value, it starts to decrease to 0 monotonically.
Last property gives a hope that the proposed approach might be promising in
Quantum Physics, as it would allow a more adequate description of macro and
micro physics, as well as of the transition from one to the other.
