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Analytic wavefront recovery under Bolker
Statement
Let be an analytic double-fibration transform and let
be a point of its incidence cotangent relation. Assume the Bolker condition holds at this point, meaning and is injective at that relation point. For every compactly supported distribution , if , then . This is a qualitative microlocal implication; it asserts no noisy-data stability estimate.
Statement references
Facts & Assumptions
Given: The analytic transform , the relation point with singleton full left fiber and injective left differential, and compactly supported with the stated data analytic regularity.
Analytic double-fibration transform and canonical relation: the transform is properly supported on compact object supports and has a nowhere vanishing analytic incidence density and weight.
Bolker condition for a double-fibration transform: the pointwise condition gives the entire singleton left fiber and injective differential at this point.
Analytic incidence localization away from a data cotangent fiber: input support with no incidence cotangent relation over the supplied data covector has an exponentially small data Gaussian transform, with finite-order distributional estimates.
Local Bolker incidence packets have a positive reduced phase: for distributions supported sufficiently near the supplied object point, data Gaussian regularity implies object Gaussian regularity, by the exact packet resolution, reduced positive phase, estimated stationary phase and elliptic packet criterion.
Analytic cutoff sequence and local FBI invariance: the Gaussian criterion is independent of local cutoff and analytic chart and applies to distributional densities as well as scalar distributions.
Proof
Given: The data in the statement.
Choose a smooth compact object cutoff equal to one near and supported in the small object neighborhood supplied by [F4]. Write . The second summand is compactly supported away from . By [F2] its support has no relation point over , because that full fiber consists of the supplied point over . Hence [F3] gives . This includes all incidence points outside the local coordinate patch; it is not inferred merely from local injectivity.
By hypothesis the Gaussian data transform of is exponentially small on some data parameter neighborhood. Subtract the exponential estimate from step 1.1, using the same data chart and a common smaller cutoff neighborhood by [F5]. Linearity gives the same estimate for at the supplied data covector. The differential clause of [F2] supplies the local Bolker hypothesis in [F4]. Since is supported in its chosen small object neighborhood, [F4] yields .
The localized distributions and agree on a neighborhood of . Their Gaussian transforms with any common cutoff supported there agree exactly; all other cutoff choices differ only by the exponential Gaussian tails in [F5]. Thus step 2.1 gives , as asserted. The two suppliers account separately for global fiber uniqueness and local differential injectivity, and all errors are controlled in the finite number of derivatives needed by the compact distribution. No stability or choice assumption has been added.
Depends on
- Distributions, conormal kernels, and cotangent relations
- Analytic double-fibration transform and canonical relation
- Bolker condition for a double-fibration transform
- Incidence-coordinate conormal kernel and canonical relation
- Global fiber and local differential criteria for Bolker
- Analytic wavefront set by Gaussian FBI packets
- Analytic cutoff sequence and local FBI invariance
- Holomorphic Morse normalization and Gaussian contour
- Analytic stationary phase with optimal truncation
- Real analytic inverse and implicit functions
- Local Bolker incidence packets have a positive reduced phase
- Analytic incidence localization away from a data cotangent fiber
Used by
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Sources
- Marco Mazzucchelli, Mikko Salo, and Leo Tzou, A general support theorem for analytic double fibration transforms (standard reference, not scraped)
- Johannes Sjöstrand, Singularités analytiques microlocales (standard reference, not scraped)