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Agent-wise marginal independence characterizes separable joint transitions

Proved
MarkovEntanglement.agentwise_marginal_independence_implies_separable

by Shuze Chen · Aug 9, 2026 · Mathlib c5ea003 (Lean v4.30.0)

linear-algebramarkov-entanglementmulti-agent

Agent-wise marginal independence forces separability.

Let PPP be a transition matrix on the joint state-action space S=∏i=1NSi\mathcal S=\prod_{i=1}^N S_iS=∏i=1N​Si​ of NNN agents. Suppose that for every agent iii, summing PPP over agent iii's next state leaves a quantity that no longer depends on agent iii's current state: for all s,s′∈Sis,s'\in S_is,s′∈Si​ and all joint state-action pairs p,qp,qp,q,

∑t∈SiP((p−i,s),(q−i,t))=∑t∈SiP((p−i,s′),(q−i,t)).\sum_{t\in S_i} P\bigl((p_{-i},s),(q_{-i},t)\bigr) = \sum_{t\in S_i} P\bigl((p_{-i},s'),(q_{-i},t)\bigr).t∈Si​∑​P((p−i​,s),(q−i​,t))=t∈Si​∑​P((p−i​,s′),(q−i​,t)).

Then PPP is separable in the sense of Definition 10: it is a finite affine combination of NNN-fold tensor products of local transition matrices,

P=∑kxk Pk,1⊗⋯⊗Pk,N,∑kxk=1.P=\sum_k x_k\, P_{k,1}\otimes\cdots\otimes P_{k,N},\qquad \sum_k x_k=1 .P=k∑​xk​Pk,1​⊗⋯⊗Pk,N​,k∑​xk​=1.

Notes

The converse is immediate, so this is a characterization of separability: an agent is decoupled from the joint chain exactly when its own marginal dynamics are blind to its own state. In the tensor picture, writing Ωm\Omega_mΩm​ for the span of the m×mm\times mm×m transition matrices (Lemma 3), the hypothesis says PPP lies in V⊗⋯⊗Ωi⊗⋯⊗VV\otimes\cdots\otimes\Omega_i\otimes\cdots\otimes VV⊗⋯⊗Ωi​⊗⋯⊗V for each iii, and the conclusion is that the intersection over iii is Ω1⊗⋯⊗ΩN\Omega_1\otimes\cdots\otimes\Omega_NΩ1​⊗⋯⊗ΩN​ — the NNN-fold tensor-intersection identity that the two-agent argument of Appendix D only needs for N=2N=2N=2.

Preamble
import Mathlib
import Definitions.Def_markov_entanglement_multi

open scoped BigOperators
open MarkovEntanglement
Formal statement
namespace MarkovEntanglement

theorem agentwise_marginal_independence_implies_separable
    {N : ℕ} {S : Fin N → Type*} [∀ i, Fintype (S i)] [∀ i, DecidableEq (S i)]
    (P : Matrix (Joint S) (Joint S) ℝ) (hP : IsTransitionMatrix P)
    (hmarg : ∀ (i : Fin N) (p p' q : Joint S), (∀ j, j ≠ i → p j = p' j) →
      ∑ t : S i, P p (Function.update q i t) = ∑ t : S i, P p' (Function.update q i t)) :
    IsSeparableN P := by
  sorry

end MarkovEntanglement
Source
Chen and Peng, 'Multi-agent Markov Entanglement', arXiv:2506.02385v3: Definition 10 (N-agent separability) p. 20, Lemma 3 (span of transition matrices) p. 34, Lemma 4 p. 35; the N-fold tensor form of the linear-algebra step used for two agents in Appendix D, pp. 34-36

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