Wigner-Type Theorem on transition probability preserving maps in semifinite factors
Wenhua Qian, Liguang Wang, Wenming Wu, Wei Yuan

TL;DR
This paper extends Wigner's theorem to transition probability preserving maps in semifinite factors, providing a new approach to characterize such maps beyond bijections and generalizing previous results.
Contribution
It introduces a novel method to describe transition probability preserving maps in semifinite factors, broadening the scope of Wigner-type theorems.
Findings
Generalizes Molnár and G. P. Geher's results
Provides a new approach to non-bijective maps
Characterizes transition probability preserving maps in semifinite factors
Abstract
The Wigner's theorem, which is one of the cornerstones of the mathematical formulation of quantum mechanics, asserts that every symmetry of quantum system is unitary or anti-unitary. This classical result was first given by Wigner in 1931. Thereafter it has been proved and generalized in various ways by many authors. Recently, G. P. Geh\'{e}r extended Wigner's and Moln\'{a}r's theorems and characterized the transformations on the Grassmann space of all rank- projections which preserve the transition probability. The aim of this paper is to provide a new approach to describe the general form of the transition probability preserving (not necessarily bijective) maps between Grassmann spaces. As a byproduct, we are able to generalize the results of Moln\'{a}r and G. P. Geh\'{e}r.
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Taxonomy
TopicsAdvanced Operator Algebra Research · Advanced Topics in Algebra · Advanced Banach Space Theory
Wigner-Type Theorem on transition probability preserving maps in semifinite factors
Wenhua Qian1, Liguang Wang2, Wenming Wu, Wei Yuan3,4
1 School of Mathematical Sciences, Chongqing Normal University, Chongqing 401331, China
[email protected], [email protected]
2 School of Mathematical Sciences, Qufu Normal University, Shandong 273165, China
3 Institute of Mathematics, Academy of Mathematics and Systems Science
Chinese Academy of Sciences, Beijing 100190, China
4 School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Abstract.
The Wigner’s theorem, which is one of the cornerstones of the mathematical formulation of quantum mechanics, asserts that every symmetry of quantum system is unitary or anti-unitary. This classical result was first given by Wigner in 1931. Thereafter it has been proved and generalized in various ways by many authors. Recently, G. P. Gehér extended Wigner’s and Molnár’s theorems and characterized the transformations on the Grassmann space of all rank- projections which preserve the transition probability. The aim of this paper is to provide a new approach to describe the general form of the transition probability preserving (not necessarily bijective) maps between Grassmann spaces. As a byproduct, we are able to generalize the results of Molnár and G. P. Gehér.
2010 Mathematics Subject Classification:
47B49, 54E40
The fourth author is supported by the Youth Innovation Promotion Association, CAS.
† Corresponding author.
1. Introduction and Statment of the Main Result
The celebrated Wigner’s Symmetry Representation Theorem guarantees that every symmetry’s actions on states is induced by a unitary or an anti-unitary operator. If we identify the set of pure states with the Grassmann space of all rank-one orthogonal projections in , where denotes the algebra of all bounded linear opeartor on a Hilbert space , then Wigner’s theorem can be formulated mathematically as follows:
Theorem** (E. P. Wigner [24]).**
Let be a surjective map. If preserves the transition probability, i.e., for every , where is the canonical trace on , then there is an either unitary or anti-unitary such that .
This result is first proved by Wigner in [24]. Thereafter, it has been proved and generalized in various ways by many authors such as [5, 2, 7, 6, 8, 9, 12, 14, 13, 15, 17, 18, 19, 21], to mention but a few. The aim of the present paper is to extend Wigner’s theorem and characterize the transition probability preserving maps between more Grassmann spaces of projections in semifinite factors. In order to achieve the goal, we first reformulate Wigner’s theorem in the language of von Neumann algebras.
Recall that a (concrete) von Neumann algebra is a *-subalgera of that is closed in the weak-operator topology. If a von Neumann algebra endowed with a normal faithful tracial weight , then is called semifinite. A factor is a von Neumann algebra whose center consists of multiples of the identity. A factor is said to be of type I if it has a minimal projection. And a type II factor is a semifinite factor which contains no minimal projections. We direct the reader to [3, 10, 22] for a general reference on the theory of von Neumann algebras.
Let be a semifinite factor with a normal faithful tracial weight (it is unique up to scalar multiplication) and be the set of all orthogonal projections in . Denote by the Grassmann space of all projections in with the trace value , i.e., , . A map is transition probability preserving if for every .
Note that is a semifinite type I factor. And Wigner’s theorem asserts that if , then every surjective transition probability preserving map is induced by either a unitary or an anti-unitary.
Recently, G. P. Gehér generalized Wigner’s and Molnár’s theorem [24, 14, 17] and prsented the following characterisation of transition probability preserving maps on Grassmann space for and in [9]: every (not necessarily bijective) transition probability preserving map is induced by a linear or conjugate-linear isomegry , i.e., for all .111The case when is also handled in [9].
A map is said to be implemenyed by a unitary (resp. by an anti-unitary) if (resp. ) for all . Since every *-isomorphism (resp. *-anti-isomorphism) form to is implemented by a unitary (resp. by an anti-unitary) by [1, Theorem 4.27], the result in [9] can be restated as:
Theorem** (G. P. Gehér [9]).**
*Let where is a Hilbert space with . Assume that . For every transition probability preserving map , there exists an orthogonal projection and a *-isomorphism or a -anti-isomorphism such that for all .
At this stage one is tempted to conjecture that the same result holds for every transition probability preserving map between the Grassmann space of projections in any semifinite factor with a fixed trace value. However, as showed by the example below, this naive generalization of the Wigner’s theorem is doomed to fail.
Example 1.1**.**
*Let where is the hyperfinite II1 factor. Let be a hyperfinite subfactor of . Since is also the hyperfinite II1 factor, there exist a *-isomorphism and a -anti-isomorphism from to . Then the map
[TABLE]
preserves the transition probability.
Keeping in mind the example above, we formulate the main result of the paper as below.
Theorem 1.1**.**
Let be a semifinite factor with a faithful normal tracial weight and . If the map satisfies
[TABLE]
*then there exist two orthogonal projections and in and a -weak continuous *-homomorphism and a -weak continuous -anti-homomorphism such that
[TABLE]
and for every . Furthermore,
- (1)
, . And if is a finite factor. 2. (2)
If is type I, then or is the zero map.
In order to prove this result, we first characterize the transition probability preserving maps between subsets of whose linear span contains (see Theorem 2.1 for details) in Section 2. Next, we show that the maps considered in Theorem 1.1 preserve the relation of commutativity and inclusion between the elements of (see Theorem 3.1 and Theorem 3.2) in Section 3. After these preparations, we complete the proof of Theorem 1.1 in Section 4.
2. The transformations from to preserving transition probability
In this section, we assume that is a semifinite factor with a fixed normal faithful tracial weight . Let be the set of all projections in . If is a subset of , we use to denote the subset of :
[TABLE]
For , where , we simplify notation and write for .
Recall that a map preserves the transition probability if
[TABLE]
Note that if and only if and the following result is immediate.
Lemma 2.1**.**
Let be a map preserving the transition probability. Then preserves the orthogonality in both directions, i.e., if and only if .
Let and be two orthogonal projections in . If there exist a *-homomorphism and a *-anti-homomorphism such that
[TABLE]
then it is not hard to check that the map,
[TABLE]
preserves the transition probability. Conversely, we show that the transition probability preserving map always arises from a sum of a *-homomorphism and a *-anti-homomorphism of , where is a subset of such that every projection is a sum of a family of mutaually orthogonal projections in . The case when and is bijective is handled by L. Molnár in [12]. By modifying the argument used in [12], we can prove Theorem 2.1 below.
Throughout the rest of this section, we assume that is a subset of such that every projection is a sum of a family of mutaually orthogonal projections in .
Lemma 2.2**.**
If is a transformation from to preserving the transition probablity, then can be extended to a transformation such that
[TABLE]
whenever is an orthogonal family of projections in . Furthermore, if is surjective, then is also surjective.
Proof.
Let . There exists a family of pairwise orthogonal projections in such that . We define
[TABLE]
By Lemma 2.1, . If also satisfies , then for every , we have
[TABLE]
Then it is clear that
[TABLE]
and . Thus is well-defined.
Now assume that is an orthogonal family of projections in . For each , there exists a family of pairwise orthogonal projections such that . By the definition of and note that unless and , we have
[TABLE]
Finally, since any projection in is the sums of projections in , the surjectivity of implies the surjectivity of . ∎
Lemma 2.3**.**
Let be the map defined in Lemma 2.2. Then can be extended to a C∗-homomorphism ([20]) from into , i.e., a linear self-adjoint map such that for every self-adjoint operator .
Proof.
We claim that can be extended to a bounded linear operator from into . If is not type I2 factor, then [4, Theoerem A] implies that the orthoadditive transformation has a unique extension to a bounded linear operator from into . Assume now that . Then contains the all rank-one projections. Since every operator in is a linear combination of rank-one projections, it is not hard to check that the following gives a bounded extension of :
[TABLE]
where is a rank-one projection, . Thus claim is proved. To simplify the notation, we use to denote its extension as well.
For every family of pairwise orthogonal projections and , we have
[TABLE]
Since is bounded, we have is self-adjoint and for every self-adjoint operator . Therefore, is a C∗-homomorphism (actually it is not hard to show that is a Jordan *-homomorphism [11, Proof of Theorem 2]). ∎
Theorem 2.1**.**
*Let be a subset of such that every projection is a sum of a family of mutaually orthogonal projections in and be a map preserving the transition probability. Let be the C∗-homomorphism defined in Lemma 2.3 and be the C∗-algebra generated by . Then is a von Neumann subalgebra of . Furthermore, there exist two orthogonal central projections and in with (here is the identity of and we use to denote the identity of ) and a -weak continuous *-homormorphsim and a -weak continuous -anti-homomorphism such that:
- (1)
* for every .* 2. (2)
. Therefore if is a finite factor. 3. (3)
If is a type I factor, then or is the zero map.
Proof.
[20, Lemma 3.2] implies that there exist central projections of with such that the map (resp. ) is a *-homomorphism (resp. *-anti-homomorphism) and for every .
We now show that and are -weak continous. For every state where is the predual of , is completely additive by [3, Theorem III.2.1.4] and Lemma 2.2. Thus . Since every normal linear functional is a linear combination of normal states, we have is -weakly continuous. Note that , is a von Neumann subalgebra of , (see [10, Proposition 7.1.15]) and is also a von Neumann algebra.
Since preserves the transition probabilty, we have
[TABLE]
By the defintion of , for every . Note that the finite linear combinations of finite projections in is a -weakly dense *-subalgebra of . Then [22, Vol. II, VIII. Proposition 3.15] implies that . Since , , implies that if is a finite von Neumann algebra.
Assume that is a type I factor. Note that is rank one if is a rank one projection. Since and are -weak continuous, we have or is the zero map. ∎
3. Auxiliary results for maps ,
From now on, we assume that is a semifinite factor which is not type I2 and is a map preserving the transition probability, where and or .
The following two results must be well-known to experts (Lemma 3.2 is essentially [14, Lemma 5]) and we sketch the proof for the reader’s convenience.
Lemma 3.1**.**
Let . If , then if and only if .
Proof.
By Lemma 2.1, is a projection. Note that
[TABLE]
Thus if and only if . ∎
Lemma 3.2**.**
Let and be the range projection of . Assume that . Then and if and only if .
Proof.
Note that . Thus . It is clear that if and only if . Thus if and only if . ∎
Let such that and . If is a type I factor and is the set of the minimal projections in , then or . Therefore Lemma 2.1 implies that , and by Lemma 3.1. For the rest of this section, we will prove in Theorem 3.1 and Theorem 3.2 that the same result holds for every semifinite factor which is not type I2 and transition probability preserving map , .
By the discussion above, we will assume that is not the set of minimal projections of for the rest of the section.
Lemma 3.3**.**
Let and be two commutative projections in . If or , then . In particular, if , then implies that for every , .
Proof.
Let such that and . By Lemma 3.1, it is clear that if and only if . Thus we may assume that .
Since , we can choose such that , and . Note that and . By Lemma 2.1,
[TABLE]
Thus .
Let and be the range projections of and respectively. implies that . If , Lemma 3.2 implies that . Note that and . Thus we have
[TABLE]
Hence must equals . ∎
Lemma 3.4**.**
Let such that . Suppose that for every , such that and , we have . Then and also implies that .
Proof.
We choose two orthogonal projections , in such that , , and ,
[TABLE]
By Lemma 3.1 and the assumption, we have
[TABLE]
Thus and are two projections whose traces are and respectively. Let be the range projection of , . It is clear that and
[TABLE]
Note that the range projection of is and
[TABLE]
Therefore and Lemma 3.2 implies that . ∎
Theorem 3.1**.**
Let . If then .
Proof.
If , the theorem is proved by Lemma 3.3. Assume , let . Note that . Then Lemma 3.4 implies the result. ∎
Lemma 3.5**.**
Let and . Suppose that and . Then implies .
Proof.
Since , we can choose such that are mutually commutative and
[TABLE]
By Lemma 3.1, we have
[TABLE]
Since , Theorem 3.1 implies that
[TABLE]
Thus . By Lemma 3.1,
[TABLE]
∎
Lemma 3.6**.**
Let such that . Suppose that for every such that , and , we have . Then , and also implies that .
Proof.
We assume that and choose such that is a family of mutually commutative projections, , , ,
[TABLE]
where and . Therefore, we have
[TABLE]
And Theorem 3.1 implies that
[TABLE]
and
[TABLE]
Since and
[TABLE]
we have
[TABLE]
Therefore, . Note that . And the assumption implies that
[TABLE]
∎
Theorem 3.2**.**
Let . Assume that . Then implies .
Proof.
By Lemma 3.5, we assume that . It is clear that . Then Lemma 3.6 implies the result. ∎
Let such that .
Lemma 3.7**.**
For every , there exist mutually commutative projections , , such that
[TABLE]
Proof.
Note that , there exists a family of orthogonal projections such that . Let . Then we have
[TABLE]
and , . ∎
Lemma 3.8**.**
Let , where is a family of projections in . Then there exists a family of orthogonal projections such that and .
Proof.
Note that
[TABLE]
This implies that , and . Let , . Then we have and
[TABLE]
Since , , . Let , . Note that ,
[TABLE]
We have if , . For ,
[TABLE]
Therefore, for and . ∎
Lemma 3.9**.**
Let , where is a family of projections in . Then .
Proof.
By Lemma 3.8, we assume that where is a family of orthogonal projections such that . In particular, . Thus by Theorem 3.1. Note that
[TABLE]
Also Theorem 3.2 implies that if . Let . If and ,
[TABLE]
We have . Let , . Note that and
[TABLE]
Thus and . For and ,
[TABLE]
Therefore, and , where and . Note that
[TABLE]
we have . Let , we have and . ∎
Lemma 3.10**.**
Let and , where and are two families of projections in . Then
[TABLE]
In particular, if then
[TABLE]
Proof.
It is clear that eq. 1 holds. If , Lemma 3.9 implies that . ∎
We are now in a position to prove Theorem 1.1.
4. Proof of Theorem 1.1
Proof of Theorem 1.1.
We first assume that and claim that there is a subset of and a map satisfying the following conditions:
- (1)
and every projection is a sum of a family of pairwise orthogonal projections in , 2. (2)
preserves the transition probablility and .
If the claim holds, we can prove the theorem in this case by invoking Theorem 2.1. To prove the claim, we consider the following two cases.
Case I: is a type I factor. If is the set of minimal projections of , then and satisfy the condition (1) and (2).
Otherwise, there exists such that is the set of minimal projections of . Let and
[TABLE]
where is defined by
[TABLE]
where is a familiy of mutually commutative projections in . By Lemma 3.7, Lemma 3.9 and Lemma 3.10, and satisfy the conditions.
Case II: is a type II factor. Let . Then it is easy to see that satisfies condtion (1). Let . We can define a map which preserves the transition probability for every inductively by
[TABLE]
where is a familiy of mutually commutative projections in . Let be the map from to given by for , and . Suppose that and , , we have
[TABLE]
where and are two families of projections in and , such that and . Then it is clear that .
Now we assume that . Without loss of generality, we assume that . It is clear that
[TABLE]
is a map preserving the transition probability. Note that . The discussion above implies there exists a projection and a -weak continuous *-homomorphims and a -weak continuous *-anti-homomorphism such that for every and or is zero map if is a type I factor. Therefore
[TABLE]
∎
Corollary 4.1**.**
*Let be a semifinite factor and . If is a surjective map preserving the transition probability, then there exists a *-automorphism or a -anti-automorphism of such that, for every .
Proof.
If , the corollary holds trivially. Assume that . Note that if commutes with every , then is in the center of . Since is a factor, Theorem 1.1 implies the result. ∎
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