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.
An isotropic Gaussian Wasserstein geodesic
Example
Assume AC. Let , , and . Let have density on , put and , and set for . Then is a constant-speed geodesic, meaning for all , from the laws of to the law of , with The Borel field solves the continuity equation and has action equal to this squared distance, hence is minimum-action. The strict positivity of and ensures throughout; degenerate covariances are excluded.
Example references
The Euclidean quadratic Wasserstein space
The quadratic Wasserstein distance is a metric
Geodesics and geodesic metric spaces
Finite-action continuity equation in Euclidean space
AC2 curves admit a unique minimum-action velocity field
Standard normal and normal laws
Location-scale normal laws have their stated mean and variance
On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n}
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Linearity, monotonicity, and the modulus bound for expectation
Moments, variance, and covariance on a probability space
Random elements and real random variables
Law or distribution of a random element
Holder's inequality for integrals, including the endpoint cases
Change of variables for expectation
The chain rule for total derivatives:
The second fundamental theorem: if is differentiable on with and is integrable, then
Ambrosio, Gigli, and Savaré, Gradient Flows, Theorem 8.3.1
Santambrogio, Optimal Transport for Applied Mathematicians, Chapter 5, §5.3
Facts & Assumptions
Given: AC, as stated, and the standard Gaussian law on .
AC implies Countable Choice. The Axiom of Choice AC implies DC implies countable choice The Axiom of Countable Choice ()
The displayed density factors into standard normal coordinate densities; [A1] and Tonelli give each coordinate law . Standard normal and normal laws On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n} Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Each coordinate has mean zero and variance one by the normal moment theorem; finite sums give and . Under any coupling of the scaled laws, the centered marginals therefore have second moments and . Location-scale normal laws have their stated mean and variance Moments, variance, and covariance on a probability space Linearity, monotonicity, and the modulus bound for expectation Change of variables for expectation
Holder bounds the centered cross moment by . Holder's inequality for integrals, including the endpoint cases
The minimum-velocity theorem identifies the least action of an curve with the integral of its squared metric speed. AC2 curves admit a unique minimum-action velocity field
Dominated convergence passes bounded continuous test functions through the Gaussian law as its affine parameters vary continuously. Dominated convergence
The total-derivative chain rule differentiates a smooth test along the affine path, and the FTC integrates that derivative. The chain rule for total derivatives: The second fundamental theorem: if is differentiable on with and is integrable, then
Proof
Write . Let be any coupling of and , and set , . Since , expansion gives By [F1] and [F2], this is at least . Conversely, couple the two laws by , using the same standard Gaussian vector. The moments in [F1] give . Taking the infimum proves
Apply step 1.1 to and . Their differences are and , so This proves the constant-speed geodesic claim and identifies its speed.
For each , define . Direct differentiation gives . For any bounded continuous test f, dominated convergence [F4] gives continuously in t, so the curve is narrowly continuous. For a compactly supported smooth test , the chain rule [F6] gives . Integrate over and the Gaussian law. The FTC [F6] and the test vanishing near both time endpoints make the time integral zero; its derivative is integrable since is affine in with finite first moment by [F2, F3]. The resulting identity is the weak continuity equation for . Also using the zero coordinate means and unit variances in [F2]. Its time integral is the squared-distance value from step 1.1, so [F4] makes this velocity minimum-action.
Depends on
- The Euclidean quadratic Wasserstein space
- The quadratic Wasserstein distance is a metric
- Finite-action continuity equation in Euclidean space
- AC2 curves admit a unique minimum-action velocity field
- Standard normal and normal laws
- Location-scale normal laws have their stated mean and variance
- On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n}
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- AC implies DC implies countable choice
- Linearity, monotonicity, and the modulus bound for expectation
- Moments, variance, and covariance on a probability space
- Random elements and real random variables
- Law or distribution of a random element
- Holder's inequality for integrals, including the endpoint cases
- Change of variables for expectation
- Dominated convergence
- The chain rule for total derivatives: $D(g\circ f)(a)=Dg(f(a))\circ Df(a)$
- The second fundamental theorem: if $G$ is differentiable on $[a,b]$ with $G' = f$ and $f$ is integrable, then $\int_a^b f = G(b)-G(a)$
- The Axiom of Choice
Used by
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Sources
- Luigi Ambrosio, Nicola Gigli, and Giuseppe Savaré, Gradient Flows in Metric Spaces and in the Space of Probability Measures, Theorem 8.3.1 (standard reference, not scraped)
- Filippo Santambrogio, Optimal Transport for Applied Mathematicians, Chapter 5, §5.3 (standard reference, not scraped)