PhyslibAlpha.ProbabilisticTheory.Channel.Operation
Operations
i. Overview
An operation is a positive linear map `op` with `op 1 ≤ 1`. It describes how a system changes when one particular outcome of a measurement occurs, and it may lose probability, but never gain any. A channel is an operation with `op 1 = 1`, and a finite family of operations whose values on `1` sum to `1` is an instrument.
ii. Key results
- `Operation` : operations.
- `Operation.comp` : composition of operations.
- `Operation.outcomeEffect` : the effect `op 1` of the outcome.
- `Operation.condition` : the state after the outcome, normalized.
iii. Table of contents
- A. Operations
- B. Outcome effects
A. Operations
B. Outcome effects
21 declarations
Operation on an order unit space with
Given an order unit space with an order unit denoted by , an operation is defined as a positive linear map such that . This condition ensures that the map never sends the certain event to an element greater than itself, representing a process that may lose probability but never gain it.
Coercion of an operation to a function
For an order unit space , an operation can be treated as a function . This allows the application of an operation to an element , denoted as , corresponding to its underlying positive linear map.
if for all
Let be an order unit space. For any two operations and on , if for all , then . An operation on is defined as a positive linear map such that , where denotes the order unit of .
Operations Preserve Non-negativity
Let be an order unit space. For any operation on and any element , if , then . In other words, an operation never sends a non-negative element to a negative one.
for any operation
Let be an order unit space with order unit . For any operation on , the image of the certain event under is less than or equal to , i.e., . This implies that an operation never sends the certain event above itself.
is normal
Let be an ordered real vector space with a unit . An operation is **normal** if it is order-continuous, meaning that for any directed set in that has a supremum , the supremum of the set is .
Identity operation on
For an ordered real vector space with a unit element , the identity operation is the identity map from to itself, defined by for all . This map qualifies as an operation because it is a positive linear endomorphism and satisfies the condition (specifically, ).
Let be an ordered real vector space with a unit . For any element , the identity operation satisfies .
The Identity Operation is Normal
Let be an order unit space. The identity operation is normal.
Sequential composition of operations
Let be an order unit space with order unit . Given two operations (positive linear maps satisfying and ), their sequential composition is the operation defined by for all . This composition is itself an operation because the positivity of implies it is monotone, which ensures the subunital condition is satisfied.
Let be an order unit space. For any operations and on and any element , the application of the sequential composition to is equal to .
for operations
Let be an order unit space. For any operation on (defined as a positive linear map such that ), the sequential composition of the identity operation with is equal to . That is, .
Right identity of operation composition ()
Let be an order unit space. For any operation (a positive linear map satisfying ), the composition of with the identity operation is equal to itself, denoted as .
Associativity of the Composition of Operations:
Let be an order unit space. For any operations on , the sequential composition of these operations is associative, such that . Here, an operation is defined as a positive linear map satisfying .
The sequential composition of normal operations is normal
Let be an order unit space with order unit . Let and be operations on (positive linear maps such that and ). If and are normal maps, then their sequential composition is also a normal operation.
Post-measurement state
Given an operation on an order unit space and a state on , provided that the probability of the outcome occurring is non-zero (i.e., ), the post-measurement state (or conditioned state) is defined as the normalized functional such that for any : This construction represents the updated state of a system after an operation has been performed and a specific outcome has been observed.
Pointwise formula for the post-measurement state
Let be an order unit space, be an operation on , and be a state on . If the probability of the outcome occurring is strictly positive, i.e., , then for any , the post-measurement state (the result of conditioning by ) is given by the pointwise formula:
The post-measurement state satisfies
Let be an order unit space with order unit . For any operation on and any state on such that the probability of the outcome is strictly positive (i.e., ), the post-measurement state , defined by , satisfies
Conditioning a normal state by a normal operation preserves normality
Let be an order unit space. Let be an operation and be a state on . If both the operation and the state are normal (meaning they preserve the suprema of directed sets) and the probability of the outcome is strictly positive, i.e., , then the conditioned state , defined by for all , is also normal.
Outcome effect of an operation
For an operation on an order unit space , the outcome effect is defined as the image of the certain event under the map , denoted as . Since is a positive linear map satisfying , the resulting value is an effect in . This represents the probability of the operation "firing" in a given state.
The outcome effect of an operation is
For any operation on an order unit space with order unit , the outcome effect of viewed as an element of is equal to .
