Many Retrocausal Worlds: A Foundation for Quantum Probability
Abstract: Recent accounts of probability in the many worlds interpretation of quantum mechanics are vulnerable due to their dependence on probability theory per se. For this reason, the many worlds interpretation continues to suffer from the incoherence and quantitative problems. After discussing various theories of probability, I discuss the incoherence problem and argue that self-locating probabilities centered in time-extended worlds can solve it. I then discuss and refute various solutions to the quantitative problem. I argue that the only tenable way to ground these self-locating probabilities is to identify the mathematical form of the Born rule as a generic pattern in a time-extended wavefunction, and to distribute degrees of belief over the region of wavefunction occupied by this pattern. I then outline a time-symmetric version of quantum mechanics - the Fixed Point Formulation - which, interpreted within a time-symmetric Everettian framework, can provide the foundation for a theory of quantum probability.
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Knowledge Gaps
Knowledge gaps, limitations, and open questions
Below is a concise list of unresolved issues and concrete research directions suggested by the paper’s arguments and proposals.
- Formal definition of “units of wavefunction”: Provide a precise, basis- and representation-independent definition of “equally-sized pieces” or “units of wavefunction” over which credences are to be equivocated, including invariance under unitary changes of basis, coarse-graining choices, and reparameterizations of time.
- Non-circular identification of “Born-pattern” regions: Specify a mathematically rigorous procedure for identifying the “generic pattern” in a time-extended wavefunction that is said to have the “mathematical form of the Born rule,” and demonstrate that this identification does not presuppose -weighted measures or any equivalent assumptions.
- Basis, coarse-graining, and decomposition dependence: Show how the proposed pattern-detection and probability assignment avoid dependence on arbitrary choices of pointer basis, consistent-histories coarse-grainings, or branching decompositions.
- Overlapping histories and set selection: If overlapping worlds/histories (from consistent histories) ground self-locating uncertainty, provide a principled, physically motivated rule for selecting consistent sets (or reconciling incompatible sets) relevant to agents without yielding contradictory credence assignments.
- Time-extension and double counting: Clarify how probability is assigned in time-extended worlds without “overcounting” the same world across multiple times (e.g., whether weighting applies to world-lines, events, or spacetime regions), and prove normalization and additivity properties.
- Relativistic and foliation independence: Demonstrate that the proposed probability assignments are invariant under changes of foliation and compatible with Lorentz symmetry, especially since “branching” and “patterns” can be foliation-sensitive.
- Extension to QFT and infinite-dimensional systems: Generalize the pattern-based account to quantum field theory (including local algebras, superselection sectors, and renormalization), and specify how measures over “regions of wavefunction” work in infinite-dimensional Hilbert spaces.
- Genericity and universality claims: Prove that the Born-pattern arises generically for realistic measurement interactions across a wide class of Hamiltonians and environments (not merely idealized models), and specify necessary and sufficient conditions.
- Empirical traction and testability: Since the Fixed Point Formulation (FPF) is claimed to be operationally equivalent to standard QM, identify concrete empirical signatures (if any) or domains (e.g., pre-/post-selection, weak measurements) where different credence assignments could, even in principle, lead to divergent empirical or decision-theoretic behavior.
- Algorithmic/operational recipe: Provide explicit algorithms that map experimentally accessible quantities (e.g., reduced density matrices, POVMs, decoherence functionals) to credence assignments using the proposed pattern-based rule in realistic, noisy, open-system settings.
- Connection to decoherence and pointer bases: Specify how decoherence selects (or constrains) the structures used in identifying Born-pattern regions, and show robustness of the rule to imperfect or partial decoherence.
- Law of large numbers and typicality: Prove frequency theorems (or typicality results) showing that pattern-weighted credences yield Born frequencies across repeated measurements, including bounds on fluctuations and treatment of atypical branches.
- Decision-theoretic and normative grounding: Supply a decision-theoretic or accuracy-dominance justification for the “principle of calibrated indifference” that connects the proposed structural measure to rational betting odds, and clarify its relation (or contrast) to the Principal Principle.
- Handling Bertrand-style paradoxes in Hilbert space: Develop a precise criterion for “relevant physical symmetry” in the quantum context that avoids representation-dependent paradoxes when assigning equivocal credences over quantum possibilities.
- Multi-partite and nonlocal correlations: Show that the self-locating, pattern-based probabilities reproduce quantum correlations (e.g., Bell/Tsirelson bounds) in multi-partite, spacelike separated scenarios without hidden assumptions or context dependence.
- Indefinite causal order and process frameworks: Clarify how the FPF and the proposed probability assignments integrate with process matrices/indefinite causal order, including conditions under which the approach remains consistent and non-signaling.
- Boundary-condition dependence and retrocausality: Specify what global (initial/final) boundary conditions the FPF requires, how they are justified (e.g., cosmological low entropy, final constraints), and demonstrate that the resulting retrocausal structure avoids fine-tuning or superdeterministic pitfalls.
- Mapping to standard measurement theory: Provide a systematic translation between FPF “sources/sinks” and standard POVM/instrument descriptions, proving that the pattern-based rule reproduces the ABL rule and general quantum operational statistics without ambiguity.
- Observer-localization without anthropocentrism: Precisely define “centers” for self-locating uncertainty in fully physical terms (e.g., in terms of macroscopic records or information-theoretic criteria), avoiding appeals to consciousness while ensuring intersubjective agreement.
- Uniqueness and existence of fixed points: Give a rigorous axiomatization of the FPF, including theorems on existence, uniqueness, and stability of the fixed points defining global solutions, and show that these properties guarantee well-defined probability assignments.
- Robustness to unitary embeddings and subsystem choice: Prove that embedding a given experiment into a larger Hilbert space (or redefining subsystem-environment splits) does not alter the assigned probabilities, up to physically irrelevant transformations.
- Superselection and symmetry constraints: Address how the account handles superselection sectors, gauge constraints, and conserved quantities when defining patterns and assigning credences across dynamically disconnected subspaces.
- Treatment of continuous spectra and unnormalizable states: Specify how to define probability for observables with continuous spectra (requiring coarse-graining or distributional techniques) while maintaining basis and representation independence.
- Comparative clarity with existing derivations: Provide explicit points of contact (and divergence) with decision-theoretic, envariance, typicality, and epistemic-symmetry derivations of the Born rule, including conditions under which each approach yields the same or different credences.
- Cosmological application and global consistency: Develop a concrete cosmological model demonstrating how the proposed framework yields consistent global probabilities across spacelike-separated observers and epochs, including the handling of cosmic initial/final conditions.
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