Positive spatial scaling of rooted compact probability spaces #
Only distances are multiplied by the positive factor. Probability measures
and roots are transported by the canonical equivalence to ScaledMetric.
The GHP comparison uses max factor 1; the probability-error part of the
Lévy–Prokhorov metric is not homogeneous under spatial scaling.
Transport a map to the two scaled carriers.
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An isometry equivalence transports to the scaled carriers.
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Multiply distances by factor > 0, transporting the unchanged probability measure.
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Positive spatial scaling, with the distinguished point transported to the new carrier.
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Whole-carrier measured rooted isometries remain so after positive scaling.
Scale the two carriers and the actual common ambient realization by the same factor.
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Each scaled ambient cost is at most max c 1 times its original rooted cost.
Positive scaling is Lipschitz for the represented rooted GHP distance.
Scaling by one preserves the represented rooted measured isometry class.
Scaling by the positive reciprocal cancels the first scaling, including measure and root.
The inverse scaling gives the lower bound with factor min factor 1.
Positive spatial scaling on whole-carrier rooted measured isometry classes.
Equations
- BGW.MetricMeasure.RootedMeasuredGHSpace.scale factor hfactor = Quotient.map (BGW.MetricMeasure.RootedCompactMeasuredSpace.scale factor hfactor) ⋯