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Lesson 17

Wigner's Theorem: Unitary and Anti-Unitary Symmetries

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Introduction

In our previous lesson, we established a rigorous definition for quantum symmetry based on the preservation of transition probabilities between physical states, which are rays in a Hilbert space. This led us to the statement of Wigner's theorem, a profound result asserting that any such symmetry must be represented on the Hilbert space by an operator that is either unitary and linear, or anti-unitary and anti-linear. You saw that this dramatically restricts the mathematical form that symmetries can take.

Today, we will move beyond simply stating the theorem to understanding why it is true. Your goal is to outline the key steps in the proof of Wigner's theorem. Rather than a line-by-line formal derivation, we will focus on the logical architecture of the argument. This will give you a deep appreciation for how the physical requirement of preserving probabilities, combined with the structure of complex Hilbert spaces, inevitably leads to the unitary/anti-unitary dichotomy.


The Strategy: A Constructive Proof

The proof of Wigner's theorem is constructive. We begin with a symmetry transformation, which is a map that acts on the rays of the projective Hilbert space . Our task is to build a corresponding operator that acts on the vectors of the Hilbert space itself.

The starting point and sole constraint is the definition of symmetry: for any two rays , and their images , the transition probability is preserved. If we pick representative normalized vectors , , , and , this means:

Our goal is to show that the operator which connects the vectors, such that is a representative of the ray , must be either linear and unitary or anti-linear and anti-unitary.

A clear, step-by-step outline of this proof, closely following the reasoning developed by Steven Weinberg, is provided in the following paper from the journal Resonance. We will use this as our guide.

[PDF] Wigner's Symmetry Representation Theorem

This article presents a detailed, step-by-step proof of Wigner's theorem aimed at physics students. It methodically constructs the symmetry operator and demonstrates why it must fall into one of the two allowed classes.

We will walk through the proof together. For now, just have the paper ready. I will direct you to specific steps as we proceed.


Step 1: Preserving the Structure of the Space

The first logical step is to confirm that the symmetry transformation preserves the fundamental structure of the Hilbert space. Specifically, we must show that a complete orthonormal basis (CONB) is mapped to another complete orthonormal basis.

This is intuitive: if the "scaffolding" of the space were not preserved—if orthogonal states were mapped to non-orthogonal ones, or if the transformed basis was no longer complete—the geometry of the space would be distorted, and it would be difficult to see how all transition probabilities could be maintained.

The proof of this is quite direct. Orthonormality is preserved because the inner product modulus between any two distinct basis vectors is , and this must be preserved under the transformation. Completeness is preserved because if the new basis were not complete, you could find a vector orthogonal to all of its elements, which would imply the existence of a pre-transformation vector orthogonal to all original basis elements—a contradiction.

To see the formal argument, please read Step 1 in the article.

[PDF] Wigner's Symmetry Representation Theorem

This section proves that a symmetry transformation maps a complete orthonormal basis to another.

Read the section "Step 1" (p. 903). This confirms that our basic framework for describing states is stable under symmetry operations.


Steps 2 & 3: The Emergence of the Linear/Anti-Linear Dichotomy

Now we come to the heart of the proof. We have a CONB and its image , which is also a CONB. We can define an operator such that . But what is the action of on an arbitrary superposition, ?

Let the transformed state be . Since is a basis, we can write . The central question is: What is the relationship between the new coefficients and the old ones ?

To find out, we must use our only weapon: the invariance of transition probabilities. By cleverly choosing states and examining their inner products, we can constrain the relationship between the coefficients.

  1. The inner product of with a basis vector gives . The invariance condition immediately tells us that . So, the new coefficients must have the same magnitude as the old ones, differing at most by a phase: .
  2. To fix the relative phases, we consider a more complex state, like . By enforcing probability conservation for the inner product , we arrive at a powerful geometric constraint on the ratios of coefficients.

The result of this analysis is that for any , the ratio of coefficients has only two possibilities:

This is the fundamental bifurcation. It arises directly from the algebraic properties of complex numbers. In the previous lesson, we saw an image illustrating this point, which is worth revisiting now.

As this diagram from the previous lesson shows, a symmetry \(T\) on the projective space \(\mathcal{PH}\) is induced by a semi-linear transformation \(U\) on the Hilbert space \(\mathcal{H}\). The properties of complex numbers dictate that the associated field automorphism must be either the identity (leading to a linear operator) or complex conjugation (leading to an anti-linear operator).

The details of this derivation are the most technical part of the proof.

[PDF] Wigner's Symmetry Representation Theorem

These sections show how to construct the map on the Hilbert space and derive the fundamental linear/anti-linear choice.

Read through Steps 2 and 3 (pp. 904-905). Focus on the logic leading to equations (12) and (13), which establish the two possible relationships between the coefficients. The geometric visualization in Figure 1 is particularly helpful.


Steps 4 & 5: Enforcing Global Consistency

We've found that for any given state , the transformation of its coefficients is either effectively linear or anti-linear. But could it be that one state, , transforms linearly while another, , transforms anti-linearly under the same symmetry ?

The next two steps of the proof show that this is impossible. The choice must be global for the entire Hilbert space.

  • Step 4 shows that for a single state vector, all of its coefficients must transform in the same way (i.e., you can't have while ). This is done by constructing a test state involving three basis vectors and showing that a mixed transformation leads to a contradiction.
  • Step 5 extends this to the entire space, proving that if transforms linearly, then so must every other state . This is also a proof by contradiction, showing that if they transformed differently, the transition probability would not be preserved.

[PDF] Wigner's Symmetry Representation Theorem

These sections establish that the linear/anti-linear choice must hold globally.

Read Steps 4 and 5 (pp. 906-908). You don't need to trace every index, but understand the strategy: assume a mixed transformation and show that it violates the probability preservation axiom.


Step 6: The Final Connection to Unitarity

At this point, we have successfully constructed an operator that represents the symmetry , and we have shown it must be either linear or anti-linear for all states. The final step is to show that these properties, combined with the probability preservation rule, imply that must be unitary or anti-unitary.

Case 1: U is linear.
The operator preserves the modulus of the inner product: .
Since is linear, . The condition implies that is an operator that scales every inner product by a phase factor, which must be global and can be shown to be 1. Thus, , which is the definition of a unitary operator.

Case 2: U is anti-linear.
Here, the operator also preserves the modulus of the inner product. A similar analysis shows that this requires . This is precisely the definition of an anti-unitary operator.

[PDF] Wigner's Symmetry Representation Theorem

This final step formally shows that the linear and anti-linear maps must be unitary and anti-unitary, respectively.

Read Step 6 (p. 908-909). This completes the proof by connecting the linearity property to the inner product preservation property.

The distinction between unitary and anti-unitary operators is not merely a mathematical artifact. Continuous symmetries, which can be built up by composing infinitesimal transformations near the identity, must be unitary. The product of two anti-unitary operators is unitary, so an infinitesimal transformation cannot be anti-unitary. The anti-unitary case is reserved for certain discrete symmetries, most famously time reversal, where the complex conjugation is physically necessary to reverse the sign of the in the Schrödinger equation, .


Conclusion

Today we have dissected the proof of Wigner's theorem, revealing the beautiful logical chain that connects a simple physical principle to a profound mathematical constraint.

Key Takeaways:

  • The proof of Wigner's theorem is constructive, building an operator on the Hilbert space from a symmetry map on the projective space of rays.
  • The argument proceeds in steps: first showing that the basis structure is preserved, then using probability conservation to constrain the transformation of expansion coefficients.
  • The core dichotomy between linear and anti-linear operators arises directly from the algebraic structure of complex numbers—specifically, that the only continuous field automorphisms are the identity and complex conjugation.
  • This choice is shown to be global, applying to all coefficients and all states under a given symmetry transformation.
  • Finally, the linear case is shown to correspond to a unitary operator, while the anti-linear case corresponds to an anti-unitary operator.

You now have a much deeper understanding of why symmetries in quantum mechanics are not arbitrary non-linear maps but are restricted to these two elegant forms. This theorem provides the solid mathematical foundation upon which we can build the entire theory of quantum symmetries.

In our next lesson, we will begin to apply this framework. We will construct the operator for spatial translations, identify its generator as the momentum operator, and prove that the invariance of a system under translations leads directly to the conservation of momentum.