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Orbital Mechanics Inversion (Lambert) L1-455

RoboticsAstrodynamicsδ=3 · standardL_DAG = 2.8📋 Stub — not mineable
📋

Unclaimed Principle — open for contribution

This Principle is declared in the catalog but has no reference solver, no pinned dataset, and is not registered on-chain. There is no reward pool. Submitting a cert against this Principle today will record the cert for reproducibility but pay zero PWM.

To claim it as a Bounty #7 contribution: open a PR adding (1) a reference solver, (2) ≥1 dataset pinned to IPFS, (3) updates to the L3 manifest with dataset CIDs. After verifier-agent triple-review, the founders' 3-of-5 multisig signs PWMRegistry.register() and the Principle becomes mineable.

Forward model E

Orbital Mechanics Inversion (Lambert): Lambert problem: find velocity vectors that connect two position vectors in a fixed time-of-flight (orbital transfer). The forward operator produces the measurement through a 3-node primitive DAG (M.lambert.problem_solver…); recovery is posed as a nonlinear_inverse problem. Difficulty tier delta=3 with effective condition number kappa_eff~200; position_observation_error_km, perturbation_from_central_body set the accuracy floor at the Omega boundary. See the forward_model field for the closed-form equation.

L-DAG

D.time -> S.gooding.algorithm -> O.chi2.residuals_orbit
D.timeS.gooding.algorithmO.chi2.residuals_orbit

Well-posedness W

Existence:
true
Uniqueness:
true
Stability:
conditional
κ:
5000

Existence of the recovered orbital_elements_vector is guaranteed within the declared Omega bounds. Uniqueness holds on the measurement-supported subspace; out-of-support modes are controlled by declared priors. Stability is conditionally stable (kappa_eff ~= 200); position_observation_error_km dominates the stability cliff; the remaining mismatch parameters contribute higher-order bias terms. Observation gaussian sets the irreducible data-fidelity floor.

Solvability C

Solver class:
classical [Izzo_Lancaster_Blanchard or Gooding_algorithm]
Convergence rate q:
2
Complexity:
O(N_iter) per Lambert solution (typically < 20 iterations) per iteration

Specs (0)

No L2 specs registered yet for this principle.