Histories A
homogeneous history H_i (here i labels different histories) is a sequence of
Propositions P_{i,j} specified at different moments of time t_{i,j} (here j labels the times). We write this as: H_i = (P_{i,1}, P_{i,2},\ldots,P_{i,n_i}) and read it as "the proposition P_{i,1} is true at time t_{i,1}
and then the proposition P_{i,2} is true at time t_{i,2}
and then \ldots". The times t_{i,1} are strictly ordered and called the
temporal support of the history.
Inhomogeneous histories are multiple-time propositions which cannot be represented by a homogeneous history. An example is the logical
OR of two homogeneous histories: H_i \lor H_j. These propositions can correspond to any set of questions that include all possibilities. Examples might be the three propositions meaning "the electron went through the left slit", "the electron went through the right slit" and "the electron didn't go through either slit". One of the aims of the approach is to show that classical questions such as, "where are my keys?" are consistent. In this case one might use a large number of propositions each one specifying the location of the keys in some small region of space. Each single-time proposition P_{i,j} can be represented by a
projection operator \hat{P}_{i,j} acting on the system's
Hilbert space (we use "hats" to denote operators). It is then useful to represent homogeneous histories by the
time-ordered product of their single-time projection operators. This is the
history projection operator (HPO) formalism developed by
Christopher Isham and naturally encodes the logical structure of the history propositions.
Consistency An important construction in the consistent histories approach is the
class operator for a homogeneous history: :\hat{C}_{H_i} := T \prod_{j=1}^{n_i} \hat{P}_{i,j}(t_{i,j}) = \hat{P}_{i,n_i} \cdots \hat{P}_{i,2} \hat{P}_{i,1} The symbol T indicates that the factors in the product are ordered chronologically according to their values of t_{i,j}: the "past" operators with smaller values of t appear on the right side, and the "future" operators with greater values of t appear on the left side. This definition can be extended to inhomogeneous histories as well. Central to the consistent histories is the notion of consistency. A set of histories \{ H_i\} is
consistent (or
strongly consistent) if :\operatorname{Tr}(\hat{C}_{H_i} \rho \hat{C}^\dagger_{H_j}) = 0 for all i \neq j. Here \rho represents the initial
density matrix, and the operators are expressed in the
Heisenberg picture. The set of histories is
weakly consistent if :\operatorname{Tr}(\hat{C}_{H_i} \rho \hat{C}^\dagger_{H_j}) \approx 0 for all i \neq j.
Probabilities If a set of histories is consistent then probabilities can be assigned to them in a consistent way. We postulate that the
probability of history H_i is simply :\operatorname{Pr}(H_i) = \operatorname{Tr}(\hat{C}_{H_i} \rho \hat{C}^\dagger_{H_i}) which obeys the
axioms of probability if the histories H_i come from the same (strongly) consistent set. As an example, this means the probability of "H_i OR H_j" equals the probability of "H_i" plus the probability of "H_j" minus the probability of "H_i AND H_j", and so forth. ==Interpretation==