How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
One-step leapfrog map as force and drift shears
Definition
Let , let be continuously differentiable, and let be a real symmetric positive-definite matrix. Write for its Euclidean gradient, and let .
For , define the force kick and drift shear The one-step leapfrog map is where composition is read right to left. For a finite integer , its -step map is . Define the momentum flip and the flipped proposal map .
Each kick and drift is a continuous bijection with inverse or , respectively. These finite maps use only and do not require a solution of Hamilton's ODE. The classical derivative of a force kick is not part of this definition: for merely , need not be differentiable.
Depends on
Used by
- Leapfrog Hamiltonian Monte Carlo Algorithm
- Hamiltonian Monte Carlo Definition
- Local domain restriction for kick, drift, and leapfrog maps Definition
- Scaled classical RATTLE step map Definition
- Separable regularized vortex-inspired Hamiltonian comparison system Definition
- A Gaussian harmonic leapfrog resonance Example
- Finite-step leapfrog energy error Example
- Leapfrog changes the energy of an exact harmonic test mode Example
- Störmer–Verlet has bounded oscillatory energy error on the harmonic oscillator Example
- Canonical kick and drift shears satisfy the symplectic Jacobian identity Lemma
- Leapfrog geometry and finite-time order for the matched periodic PIC Hamiltonian Theorem
- Leapfrog is reversible and volume-preserving Theorem
- Local geometric properties and second-order error of the separable regularized vortex-inspired leapfrog Theorem
- The Metropolized Hamiltonian chain preserves its target Theorem
Dependency tree · two levels
10 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Radford M. Neal, MCMC Using Hamiltonian Dynamics, Handbook of Markov Chain Monte Carlo, Chapter 5 (standard reference, not scraped)
- Michael Betancourt, A Conceptual Introduction to Hamiltonian Monte Carlo (standard reference, not scraped)