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Partial trace

Partial trace is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Partial trace rather than just read about it. In short: In linear algebra and functional analysis, the partial trace is a generalization of the trace. Whereas the trace is a scalar-valued function on operators, the partial trace is an operator-valued function.

Partial trace — main illustration
Partial trace — illustration

Key takeaways

  • Partial trace belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Partial trace to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Partial trace from memory before moving on to harder problems.

Reference excerpt

In linear algebra and functional analysis, the partial trace is a generalization of the trace. Whereas the trace is a scalar-valued function on operators, the partial trace is an operator-valued function. The partial trace has applications in quantum information and decoherence which is relevant for quantum measurement and thereby to the decoherent approaches to interpretations of quantum mechanics, including consistent histories and the relative state interpretation.

Details Suppose V {\displaystyle V} , W {\displaystyle W} are finite-dimensional vector spaces over a field, with dimensions m {\displaystyle m} and n {\displaystyle n} , respectively. For any space ⁠ A {\displaystyle A} ⁠, let L ( A ) {\displaystyle L(A)} denote the space of linear operators on A {\displaystyle A} . The partial trace over W {\displaystyle W} is then written as ⁠ Tr W : L ⁡ ( V ⊗ W ) → L ⁡ ( V ) {\displaystyle \operatorname {Tr} _{W}:\operatorname {L} (V\otimes W)\to \operatorname {L} (V)} ⁠, where ⊗ {\displaystyle \otimes } denotes the Tensor Product. It is defined as follows: For ⁠ T ∈ L ⁡ ( V ⊗ W ) {\displaystyle T\in \operatorname {L} (V\otimes W)} ⁠, let ⁠ e 1 , … , e m {\displaystyle e_{1},\ldots ,e_{m}} ⁠, and ⁠ f 1 , … , f n {\displaystyle f_{1},\ldots ,f_{n}} ⁠, be bases for V and W respectively; then T has a matrix representation

{ a k ℓ , i j } 1 ≤ k , i ≤ m , 1 ≤ ℓ , j ≤ n {\displaystyle \{a_{k\ell ,ij}\}\quad 1\leq k,i\leq m,\quad 1\leq \ell ,j\leq n}

relative to the basis e k ⊗ f ℓ {\displaystyle e_{k}\otimes f_{\ell }} of V ⊗ W {\displaystyle V\otimes W} . Now for indices k, i in the range 1, ..., m, consider the sum

b k , i = ∑ j = 1 n a k j , i j {\displaystyle b_{k,i}=\sum _{j=1}^{n}a_{kj,ij}}

This gives a matrix bk,i. The associated linear operator on V is independent of the choice of bases and is by definition the partial trace. Among physicists, this is often called "tracing out" or "tracing over" W to leave only an operator on V in the context where W and V are Hilbert spaces associated with quantum systems (see below).

Invariant definition The partial trace operator can be defined invariantly (that is, without reference to a basis) as follows: it is the unique linear map

Tr W : L ⁡ ( V ⊗ W ) → L ⁡ ( V ) {\displaystyle \operatorname {Tr} _{W}:\operatorname {L} (V\otimes W)\rightarrow \operatorname {L} (V)}

such that

Tr W ⁡ ( R ⊗ S ) = Tr ⁡ ( S ) R ∀ R ∈ L ⁡ ( V ) ∀ S ∈ L ⁡ ( W ) . {\displaystyle \operatorname {Tr} _{W}(R\otimes S)=\operatorname {Tr} (S)\,R\quad \forall R\in \operatorname {L} (V)\quad \forall S\in \operatorname {L} (W).}

… excerpt ends here. Continue reading the full article.

Illustrations

Partial trace: Left-hand side shows a full density matrix 
  
    
      
        
          ρ
          
            A
            B
          
        
      
    
    {\displaystyle \rho _{AB}}
  
 of a bipartite qubit system. The partial trace is performed over a subsystem of 2-by-2 dimension (single qubit density matrix). The right hand side shows the resulting 2-by-2 reduced density matrix 
  
    
      
        
          ρ
          
            A
          
        
      
    
    {\displaystyle \rho _{A}}
  
.
Left-hand side shows a full density matrix ρ A B {\displaystyle \rho _{AB}} of a bipartite qubit system. The partial trace is performed over a subsystem of 2-by-2 dimension (single qubit density matrix). The right hand side shows the resulting 2-by-2 reduced density matrix ρ A {\displaystyle \rho _{A}} .
Partial trace: Visualizing the partial trace in a composite vector space.This diagram illustrates the partial trace operation on an 8×8 matrix representing a linear operator acting on a tripartite composite vector space 
  
    
      
        V
        =
        
          V
          
            A
          
        
        ⊗
        
          V
          
            B
          
        
        ⊗
        
          V
          
            C
          
        
      
    
    {\displaystyle V=V_{A}\otimes V_{B}\otimes V_{C}}
  
. In this case, each of the subspaces (
  
    
      
        
          V
          
            A
          
        
        ,
        
          V
          
            B
          
        
        ,
        
          V
          
            C
          
        
      
    
    {\displaystyle V_{A},V_{B},V_{C}}
  
) are of dimension 2, meaning they are represented by 2×2 matrices. The subspaces can describe two-level systems (
  
    
      
        
          
            C
          
          
            2
          
        
      
    
    {\displaystyle \mathbb {C} ^{2}}
  
), for example. Tracing out one subspace results in a 4×4 matrix representation of the resulting operator. Elements in squares connected with lines are added together.
Visualizing the partial trace in a composite vector space.This diagram illustrates the partial trace operation on an 8×8 matrix representing a linear operator acting on a tripartite composite vector space V = V A ⊗ V B ⊗ V C {\displaystyle V=V_{A}\otimes V_{B}\otimes V_{C}} . In this case, each of the subspaces ( V A , V B , V C {\displaystyle V_{A},V_{B},V_{C}} ) are of dimension 2, meaning they are represented by 2×2 matrices. The subspaces can describe two-level systems ( C 2 {\displaystyle \mathbb {C} ^{2}} ), for example. Tracing out one subspace results in a 4×4 matrix representation of the resulting operator. Elements in squares connected with lines are added together.

Worked examples

Example 1 — a first encounter with Partial trace

Start with the simplest possible case. Write down what Partial trace claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Partial trace before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Partial trace ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Partial trace

In research
Partial trace appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Partial trace in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Partial trace is common in secondary-school and first-year university syllabi. It links to neighbouring topics Functional analysis, Linear algebra, so understanding it makes those chapters shorter.
In everyday life
Look for Partial trace outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Partial trace in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Partial trace means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Partial trace out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Partial trace in simple terms?

In linear algebra and functional analysis, the partial trace is a generalization of the trace. Whereas the trace is a scalar-valued function on operators, the partial trace is an operator-valued function.

Why does Partial trace matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Partial trace?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Partial trace.

Tags

  • Functional analysis
  • Linear algebra

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