PhyslibAlpha.AlgebraicFramework.Measurement.Basic
Finite-outcome measurements
A finite-outcome measurement is a finite family of effects whose total is the order unit. The outcome *type* `ι` need not itself be finite — only finitely many outcomes need actually occur, recorded by an explicit `Finset ι` of outcomes — so a measurement can, for instance, be labeled by all of `ℕ` or `ℝ` while only ever registering finitely many of those labels. Evaluating a measurement in a state gives a probability distribution on its (finite) outcome set, directly in `ℝ`: a state is already a genuine linear functional, so its values on the (bounded) effects of a measurement are already finite nonnegative reals summing to `1`, with no detour through `Weight`'s `[0, ∞]`-valued arithmetic needed.
This sits outside `OrderUnit/`: it is a derived notion built *from* `Effect` and `State`, not part of the order-unit algebra itself, the same way `Traciality.lean` sits outside `OrderUnit/` despite being built from `Weight`. `FiniteOutcome.lean` gives the equivalent, order-unit-level presentation of the same data: a measurement is exactly a channel out of the classical `ι`-outcome system.
Main definitions
- `Measurement E ι`
- `Measurement.outcomeDistribution`
4 declarations
Equivalence between measurements and finite families of effects summing to
There is an equivalence between a measurement on an order-unit space with outcome labels in and the set of pairs , where is a finite set of outcomes and is a function assigning an effect to each label, such that the sum of the effects over the finite set is equal to the identity (order unit) , i.e., .
Outcome distribution of measurement in state
Given a measurement on an order-unit space with a finite set of outcomes and a state (a unital positive linear functional ), the **outcome distribution** is the probability distribution on the set of outcomes defined by for each , where is the effect corresponding to outcome . The resulting values are non-negative and sum to , forming an element of the standard simplex .
The probability of outcome in measurement is
Let be an order-unit space and be a measurement with a finite set of outcomes and associated effects . For any state (a unital positive linear functional ) and any outcome , the probability of outcome in the resulting outcome distribution is equal to the state evaluated on the corresponding effect :
Map from states to the outcome distribution of measurement
For a finite-outcome measurement on an order-unit space with a finite set of outcomes , the **outcome map** is the function from the state space to the standard simplex that assigns to each state the probability distribution defined by , where is the effect associated with the outcome .
