Marginals and Correlations
Marginals are reduced descriptions of subsystems. Correlations are features of the joint state that are not fixed by those marginal descriptions alone.
For a bipartite state , the marginal states are
They determine all local measurement statistics on and separately. They do not determine the joint statistics of measurements on and together.
Marginal States
Section titled “Marginal States”The word “marginal” is borrowed from probability theory. A joint probability distribution has marginals
In quantum mechanics, the density-operator analogue is the reduced state:
For local measurement effects on and on , the joint probabilities are
The marginals are
Thus and are enough for local statistics, while is needed for joint statistics.
Joint States Contain More Than Marginals
Section titled “Joint States Contain More Than Marginals”The same pair of marginals can come from many different joint states. For example,
and
both satisfy
They nevertheless have different joint states and different correlations. The first is pure and entangled. The second is mixed, separable, and classically correlated.
This is the quantum version of a familiar classical fact: knowing the marginal distributions of two random variables does not determine their joint distribution.
Product States and Zero Correlation
Section titled “Product States and Zero Correlation”A bipartite density operator is a product state if
In a product state, every product-observable expectation factorizes:
Equivalently, all connected correlations vanish:
for all local observables and .
Conversely, in finite dimensions, if this factorization holds for all local operators and , then . Product operators span the operator space on , so all matrix elements of are fixed by those product expectations.
Correlation Functions
Section titled “Correlation Functions”A correlation function is an expectation value involving observables on multiple subsystems. For two subsystems,
The connected correlation is
Connected correlations remove the part already explained by the one-subsystem averages. They are the quantum analogue of covariance.
Nonzero connected correlation means the joint state is not a product state. It does not, by itself, mean the state is entangled. Separable mixed states can have nonzero connected correlations.
Classical and Bell Examples
Section titled “Classical and Bell Examples”Use Pauli operators with eigenvalues . For the classically correlated state
the local means vanish:
But the joint correlation is
Thus
This correlation is classical: the state is a separable mixture of matching computational-basis preparations.
For the Bell state ,
The Bell state has correlations in complementary bases because its joint density operator contains coherence terms absent from .
Correlation Matrix for Two Qubits
Section titled “Correlation Matrix for Two Qubits”For two qubits, a useful summary is the Pauli correlation matrix
The local Bloch vectors are
The connected Pauli correlation matrix is
This matrix is not an entanglement measure by itself, but it is a compact diagnostic for examples, tomography, Bell inequalities, and two-qubit model calculations.
Mutual Information Preview
Section titled “Mutual Information Preview”The quantum mutual information is
where
is the von Neumann entropy.
The mutual information measures total correlation, both classical and quantum. It satisfies
and
It is not the same as entanglement entropy for mixed states. For a pure bipartite state, it equals twice the subsystem entropy:
For a classically correlated separable state, it can be nonzero even though there is no entanglement.
The reduced-state entropy itself is developed in Subsystem Entropy, including examples where the same local entropy comes from entanglement, classical correlation, or uncorrelated local noise. The full entropy-based total-correlation measure is developed in Mutual Information.
Many-Body and QFT Language
Section titled “Many-Body and QFT Language”In many-body physics, one often studies local or few-body observables at sites, modes, or spatial regions. A two-point function has the schematic form
and the connected two-point function is
This is the same idea as , expressed for observables labeled by position, site, mode, or field operator. Higher -point functions and their connected parts organize more detailed information about the state.
In QFT and statistical mechanics, correlation functions often become the primary objects: they diagnose phases, response, clustering, critical behavior, and particle content. The finite-dimensional reduced-state language here is the clean entry point; Connected Correlation Functions develops the ordered cumulant hierarchy and clustering boundary without duplicating the reduced-state reconstruction given here.
Common Mistakes
Section titled “Common Mistakes”- Assuming the marginals and determine the joint state .
- Treating one nonzero connected correlation as proof of entanglement.
- Testing only one pair of observables and concluding that a state is product.
- Forgetting that separable mixed states can have strong correlations.
- Confusing correlation with causal influence or signaling.
- Treating mutual information as an entanglement measure for arbitrary mixed states.
- Ignoring the subsystem split before discussing marginals or correlations.
Cross-Links
Section titled “Cross-Links”- Reduced Density Operators
- Local Measurement Statistics
- Partial Trace
- Subsystem Entropy
- Product States
- Classical Correlation versus Entanglement
- Bell States
- Operators on Composite Systems
- Entanglement Entropy
- Mutual Information
References
Section titled “References”- A. Peres, Quantum Theory: Concepts and Methods, Kluwer, 1995.
- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information, Cambridge University Press, 2010.
- J. Watrous, The Theory of Quantum Information, Cambridge University Press, 2018.
- R. Horodecki, P. Horodecki, M. Horodecki, and K. Horodecki, “Quantum Entanglement,” Reviews of Modern Physics 81, 865-942, 2009.
- A. Altland and B. Simons, Condensed Matter Field Theory, 2nd ed., Cambridge University Press, 2010.
- A. L. Fetter and J. D. Walecka, Quantum Theory of Many-Particle Systems, McGraw-Hill, 1971.
Exercises
Section titled “Exercises”- Show that product density operators have factorized product-observable expectations.
Solution
Let . Then
- Compute the connected correlation for .
Solution
For
the local means vanish:
The joint expectation is
Therefore
- Compare for and .
Solution
For , the operator maps to and to , so diagonal matrix elements in and vanish. Hence
For
we have
so
- Give two different joint states with the same marginals.
Solution
The Bell state and the classically correlated state both have
They are different joint states: is pure and entangled, while is mixed and separable. Their joint measurements differ, for example in the expectation value.
- Why does vanishing connected correlation for one observable pair not prove that a state is product?
Solution
Product structure requires factorization for all local observables, not just one chosen pair. A state may have zero covariance for and while still being correlated for other observables. To conclude in finite dimensions, product-observable expectations must factorize for an operator basis on each subsystem, or equivalently for all local operators.