Linear algebra, operators, Hilbert spaces · Statement 6 of 100

Trace of a commutator

From cyclicity, $\mathrm{Tr}(AB)=\mathrm{Tr}(BA)$.

A fundamental statement · Linear algebra

The statement

$$\mathrm{Tr}[A,B]=0$$Trace of a commutator · statement 6

Explanation

From cyclicity, $\mathrm{Tr}(AB)=\mathrm{Tr}(BA)$.

This holds for finite matrices; for unbounded operators the trace may not exist.

Conditions

A compact formula is not a claim of unrestricted validity. Before applying this statement, check the assumptions stated in its wording (dimension, finiteness, equilibrium, model regime) and in the explanation above.

Deeper understanding

Matrices, eigenvectors, commutators and tensor products form the language used to specify quantum states, transformations and observables.

What this result tells us

This simple identity rules out an exact finite-matrix realization of the canonical position–momentum commutation relation.

Mathematical reading guide

Read the equation from left to right: identify its premises, the operation being performed, and the resulting conclusion or bound. When a symbol represents an operator, verify its domain and whether Hermiticity, unitarity, positivity or finite dimensionality is assumed. When probabilities or entropies appear, check normalization and the logarithm convention.

Where it matters

Quantum control, Hamiltonian simulation, spectral analysis and numerical diagonalization.

Worked example and interpretation

Using cyclicity, $\mathrm{Tr}(AB-BA)=\mathrm{Tr}(AB)-\mathrm{Tr}(BA)=0$ for finite square matrices.

Calculate the smallest nontrivial matrix example by hand, then verify dimensions, adjoints and normalization.

Check your understanding

Questions to work through

  1. What are the assumptions and the physical system for Trace of a commutator?
  2. Which quantity is invariant, bounded, measurable or transformed in this statement?
  3. Can you demonstrate the claim on the simplest valid example, and identify a situation where its assumptions fail?
  4. How does this result connect to operator mathematics in an experiment or simulation?
Suggested approach to the answers

First identify the hypotheses in the original statement. Use the displayed equation and the worked example above; distinguish an exact theorem from an approximation, and state the operational meaning of each quantity. For the final question, relate the mathematical result to quantum control, hamiltonian simulation, spectral analysis and numerical diagonalization.

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