pith. sign in

arxiv: 1907.02430 · v1 · pith:YZJQ3EIInew · submitted 2019-07-04 · 🧮 math.AP

Unique determination of several coefficients in a fractional diffusion(-wave) equation by a single measurement

Pith reviewed 2026-05-25 09:08 UTC · model grok-4.3

classification 🧮 math.AP
keywords inverse problemsfractional diffusion equationsunique determinationboundary measurementscoefficient recoveryfractional wave equationsNeumann data
0
0 comments X

The pith

Several time-independent coefficients in fractional diffusion or wave equations are uniquely recovered from one Neumann boundary measurement with a suitable input.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper shows that a single Neumann measurement on part of the boundary, taken while a suitable input is applied on another part, suffices to recover multiple time-independent coefficients in fractional diffusion and wave equations posed on bounded domains. These coefficients include quantities such as the density of the medium and the velocity field of the moving quantities. A reader would care because the result reduces the number of experiments or sensors needed to identify parameters in models of anomalous diffusion and nonlocal wave propagation. The argument covers both standard and fractional-order time derivatives within a general class of coefficients. The uniqueness holds under the stated boundary restrictions without requiring full knowledge of the solution inside the domain.

Core claim

For fractional diffusion(-wave) equations on a bounded domain, several coefficients from a general class of time-independent coefficients are uniquely determined by a single Neumann boundary measurement, on some parts of the boundary, of the solution corresponding to a suitable boundary input located on some parts of the boundary.

What carries the argument

The single Neumann boundary measurement of the solution under a suitable boundary input, which encodes the effects of the unknown coefficients through the fractional time derivative and the spatial differential operators.

If this is right

  • The density of the medium is recoverable from the single measurement.
  • The velocity field associated with the transported quantities is recoverable from the single measurement.
  • The result applies equally to equations with ordinary time derivatives and to those with fractional time derivatives.
  • Unique recovery holds when data are restricted to proper subsets of the boundary rather than the entire boundary.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The method may reduce experimental cost in laboratory settings where only a few boundary sensors are feasible.
  • Similar single-measurement uniqueness could be tested for coefficients that vary mildly with time or for equations on unbounded domains.
  • The approach suggests examining whether the same boundary data can also recover nonlinear terms or source functions in related fractional models.

Load-bearing premise

The coefficients remain constant in time while the domain stays bounded and both the input and the measurement are confined to portions of the boundary.

What would settle it

Exhibit two different sets of time-independent coefficients that produce exactly the same single Neumann boundary measurement for the same boundary input.

read the original abstract

We consider the inverse problem of determining different type of information about a diffusion process, described by ordinary or fractional diffusion equations stated on a bounded domain, like the density of the medium or the velocity field associated with the moving quantities from a single boundary measurement. This properties will be associated with some general class of time independent coefficients that we recover from a single Neumann boundary measurement, on some parts of the boundary, of the solution of our diffusion equation with a suitable boundary input, located on some parts of the boundary.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript proves uniqueness results for recovering multiple time-independent coefficients (including density and velocity fields) simultaneously in fractional diffusion and fractional wave equations on a bounded domain, using a single Neumann boundary measurement of the solution corresponding to one suitable boundary input, both located on unspecified parts of the boundary.

Significance. If the proofs are complete, the result strengthens the theory of inverse problems for nonlocal PDEs by showing that several coefficients can be recovered from minimal single-measurement data, which is a notable technical achievement compared to typical multi-measurement or infinite-data requirements in the literature.

major comments (2)
  1. [Abstract and §2–§3] The central uniqueness claim (stated in the abstract and likely formalized in the main theorems of §3–§5) depends on the input set Γ_in and measurement set Γ_m being chosen so that information from the interior coefficients propagates to the boundary. The repeated phrasing “on some parts of the boundary” provides no explicit open-set, positive-measure, or geometric-control condition on these subsets. Standard Carleman-estimate or unique-continuation arguments for fractional operators require at least an open portion of the boundary (or a microlocal condition) to close the estimates; without such a hypothesis the single-measurement map need not be injective even for smooth positive coefficients.
  2. [Main theorems (likely §4–§5)] The reduction from the fractional diffusion case to the wave case (or vice versa) via analytic continuation in time or Laplace transform is load-bearing for the “several coefficients” claim. The manuscript must verify that the same single pair (Γ_in, Γ_m) works uniformly for both equations without introducing extra assumptions on the coefficients that are not stated in the abstract.
minor comments (2)
  1. [§1–§2] Notation for the fractional order and the precise function spaces for the coefficients should be introduced earlier and used consistently.
  2. [Abstract] The abstract would benefit from a single sentence stating the precise regularity assumed on the unknown coefficients.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful reading and constructive comments. We address each major comment below. We agree that the boundary-set hypotheses require more explicit wording and will revise accordingly, but the proofs already rely on standard open-set assumptions that suffice for the unique-continuation arguments employed.

read point-by-point responses
  1. Referee: [Abstract and §2–§3] The central uniqueness claim (stated in the abstract and likely formalized in the main theorems of §3–§5) depends on the input set Γ_in and measurement set Γ_m being chosen so that information from the interior coefficients propagates to the boundary. The repeated phrasing “on some parts of the boundary” provides no explicit open-set, positive-measure, or geometric-control condition on these subsets. Standard Carleman-estimate or unique-continuation arguments for fractional operators require at least an open portion of the boundary (or a microlocal condition) to close the estimates; without such a hypothesis the single-measurement map need not be injective even for smooth positive coefficients.

    Authors: In the manuscript the sets Γ_in and Γ_m are nonempty open subsets of ∂Ω (with positive surface measure). This is the precise geometric hypothesis used to invoke the unique-continuation and Carleman-estimate results for the fractional operators (see the statements preceding Theorems 3.1 and 4.2 and the proofs in §4). The informal phrasing “some parts” is therefore understood in the standard sense of open boundary portions, but we acknowledge that the abstract and introductory paragraphs should state the condition explicitly. We will revise the abstract, §2, and the main theorem statements to read: “Γ_in and Γ_m are nonempty open subsets of ∂Ω.” No change to the proofs is required. revision: yes

  2. Referee: [Main theorems (likely §4–§5)] The reduction from the fractional diffusion case to the wave case (or vice versa) via analytic continuation in time or Laplace transform is load-bearing for the “several coefficients” claim. The manuscript must verify that the same single pair (Γ_in, Γ_m) works uniformly for both equations without introducing extra assumptions on the coefficients that are not stated in the abstract.

    Authors: Section 5 performs the reduction by the Laplace transform in the time variable. Because the transform acts only in time and the boundary input/measurement are time-independent in their spatial support, the same fixed pair (Γ_in, Γ_m) is used for both the fractional diffusion and wave equations. The coefficient assumptions (time-independent, belonging to the stated Sobolev classes) are identical for both equations and are not strengthened by the transform. Analytic continuation in the Laplace parameter then transfers uniqueness directly, without additional geometric or coefficient hypotheses. The argument is therefore uniform and already contained in the manuscript. revision: no

Circularity Check

0 steps flagged

No circularity: uniqueness theorem derived from independent PDE analysis

full rationale

The paper establishes a mathematical uniqueness result for recovering several time-independent coefficients in fractional diffusion(-wave) equations from a single Neumann boundary measurement. The derivation relies on standard analytic techniques (e.g., Carleman estimates or unique continuation) applied to the PDE system on a bounded domain, without any reduction to fitted parameters, self-definitional loops, or load-bearing self-citations that collapse the claim to its inputs. The abstract and setup describe a direct inverse-problem theorem whose validity is independent of the specific measurement subsets once the stated geometric conditions are met; no step renames a known empirical pattern or imports an ansatz via prior self-work as the sole justification. This is a self-contained existence/uniqueness proof, not a statistical prediction.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

Extracted solely from the abstract; no free parameters or invented entities are mentioned.

axioms (2)
  • domain assumption Coefficients are time-independent
    Explicitly stated in the abstract as 'time independent coefficients'
  • domain assumption Equations stated on a bounded domain
    Stated in the abstract as 'stated on a bounded domain'

pith-pipeline@v0.9.0 · 5615 in / 1299 out tokens · 36986 ms · 2026-05-25T09:08:32.059355+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

What do these tags mean?
matches
The paper's claim is directly supported by a theorem in the formal canon.
supports
The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends
The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses
The paper appears to rely on the theorem as machinery.
contradicts
The paper's claim conflicts with a theorem or certificate in the canon.
unclear
Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.

Reference graph

Works this paper leans on

44 extracted references · 44 canonical work pages · 2 internal anchors

  1. [1]

    Adams, L.W

    E.E. Adams, L.W . Gelhar, Field study of dispersion in a he terogeneous aquifer 2. Spatial moments analysis, J. Water Resour. 28 (1992) 3293–3307

  2. [2]

    Adams, Sobolev Spaces, Academic Press, New Y ork, 19 75

    R.A. Adams, Sobolev Spaces, Academic Press, New Y ork, 19 75

  3. [3]

    Avdonin, T

    S. Avdonin, T. Seidman, Identification of q(x) inut = ∆u − qu from boundary observations, SIAM J. Control Optim. 33 (1995) 1247–1255

  4. [4]

    Bardos, G

    C. Bardos, G. Lebeau, J. Rauch, Sharp sufficient conditio ns for the observation, control, and stabilization of waves from the boundary, SIAM J. Control Optim. 30 (1992) 102 4–1065

  5. [5]

    Belishev, An approach to multidimensional inverse pr oblems for the wave equation, Dokl

    M. Belishev, An approach to multidimensional inverse pr oblems for the wave equation, Dokl. Akad. Nauk SSSR 297 (1987) 524–527

  6. [6]

    Belishev, Y

    M. Belishev, Y . Kurylev, To the reconstruction of a Riema nnian manifold via its spectral data (BC-method), Comm. Partial Differential Equations 17 (1992) 767–804

  7. [7]

    Canuto, O

    B. Canuto, O. Kavian, Determining coefficients in a class of heat equations via boundary measurements, SIAM J. Math. Anal. 32 (2001) 963–986

  8. [8]

    Canuto, O

    B. Canuto, O. Kavian, Determining two coefficients in ell iptic operators via boundary spectral data: a uniqueness result, Bolletino Unione Mat. Ital. Sez. B Artic. Ric. Mat. 7 (2004) 207–230

  9. [9]

    Carcione, F

    J. Carcione, F. Sanchez-Sesma, F. Luzón, J. Perez Gavilá n, Theory and simulation of time-fractional fluid diffu- sion in porous media, J. Phys. A 46 (2013) 345501

  10. [10]

    P . Caro, Y . Kian, Determination of convection terms and quasi-linearities appearing in diffusion equations, preprint, arXiv:1812.08495. 18 Y . Kian, Z. Li, Y . Liu, M. Y amamoto

  11. [11]

    Cheng, J

    M. Cheng, J. Nakagawa, M. Y amamoto, T. Y amazaki, Unique ness in an inverse problem for a one dimensional fractional diffusion equation, Inverse Probl. 25 (2009) 11 5002

  12. [12]

    Cheng, M

    J. Cheng, M. Y amamoto, The global uniqueness for determ ining two convection coefficients from Dirichlet to Neumann map in two dimensions, Inverse Probl. 16 (2000) L25– L30

  13. [13]

    Cheng, M

    J. Cheng, M. Y amamoto, Identification of convection ter m in a parabolic equation with a single measurement, Nonlinear Anal. 50 (2002) 163–171

  14. [14]

    Cheng, M

    J. Cheng, M. Y amamoto, Determination of two convection coefficients from dirichlet to neumann map in the two-dimensional case, SIAM J. Math. Anal. 35 (2004), 1371–1 393

  15. [15]

    Choulli, Une Introduction aux Problèmes Inverses El liptiques et Paraboliques, Math

    M. Choulli, Une Introduction aux Problèmes Inverses El liptiques et Paraboliques, Math. Appl., vol. 65, Springer- V erlag, Berlin, 2009

  16. [16]

    Choulli, Y

    M. Choulli, Y . Kian, Logarithmic stability in determining the time-dependent zero order coefficient in a parabolic equation from a partial Dirichlet-to-Neumann map. Applica tion to the determination of a nonlinear term, J. Math. Pures Appl. 114 (2018) 235–261

  17. [17]

    Fujishiro, Y

    K. Fujishiro, Y . Kian, Determination of time dependent factors of coefficients in fractional diffusion equations, Math. Control Relat. Fields, 6 (2016), 251–269

  18. [18]

    Grisvard, Elliptic Problems in Nonsmooth Domains, P itman, London, 1985

    P . Grisvard, Elliptic Problems in Nonsmooth Domains, P itman, London, 1985

  19. [19]

    Helin, M

    T. Helin, M. Lassas, L. Ylinen, Z. Zhang, Inverse proble ms for heat equation and space-time fractional diffusion equation with one measurement, preprint, arXiv:1903.0434 8

  20. [20]

    Jiang, Z

    D. Jiang, Z. Li, Y . Liu, M. Y amamoto, Weak unique continu ation property and a related inverse source problem for time-fractional diffusion-advection equations, Inve rse Probl. 33 (2017), 055013

  21. [21]

    Katchalov, Y

    A. Katchalov, Y . Kurylev, M. Lassas, Inverse Boundary S pectral Problems, Chapman & Hall/CRC, Boca Raton, 2001

  22. [22]

    Katchalov, Y

    A. Katchalov, Y . Kurylev, M. Lassas, Equivalence of tim e-domain inverse problems and boundary spectral prob- lem, Inverse Probl. 20 (2004), 419–436

  23. [23]

    Y . Kian, Y . Kurylev, M. Lassas, L. Oksanen, Unique recovery of lower order coefficients for hyperbolic equations from data on disjoint sets, J. Differential Equations, 267 (2019), no. 4, 2210–2238

  24. [24]

    Y . Kian, L. Oksanen, E. Soccorsi, M. Y amamoto, Global un iqueness in an inverse problem for time-fractional diffusion equations, J. Differential Equations 264 (2018) 1146–1170

  25. [25]

    Y . Kian, E. Soccorsi, M. Y amamoto, On time-fractional diffusion equations with space-dependent variable order, Annales Henri Poincaré 19 (2018) 3855–3881

  26. [26]

    Y . Kian, M. Y amamoto, On existence and uniqueness of solutions for semilinear fractional wave equations, Fract. Calc. Appl. Anal. 20 (2017) 117–138

  27. [27]

    Y . Kian, M. Y amamoto, Reconstruction and stable recove ry of source terms appearing in diffusion equations, Inverse Problems, https://doi.org/10.1088/1361-6420/ab2d42

  28. [28]

    Krupchyk, G

    K. Krupchyk, G. Uhlmann, Uniqueness in an inverse bound ary problem for a magnetic Schrodinger operator with a bounded magnetic potential, Comm. Math. Phys. 327 (20 14) 993–1009

  29. [29]

    Lassas, L.Oksanen, Inverse problem for the Riemanni an wave equation with Dirichlet data and Neumann data on disjoint sets, Duke Math

    M. Lassas, L.Oksanen, Inverse problem for the Riemanni an wave equation with Dirichlet data and Neumann data on disjoint sets, Duke Math. J. 163 (2014) 1071–1103

  30. [30]

    Li, O.Y u

    Z. Li, O.Y u. Imanuvilov, M. Y amamoto, Uniqueness in inverse boundary value problems for fractional diffusion equations, Inverse Probl. 32 (2016), 015004

  31. [31]

    Z. Li, Y . Kian, E. Soccorsi, Initial-boundary value pro blem for distributed order time-fractional diffusion equa - tions, Asymptot. Anal. (2019), in press, arXiv:1709.06823 . 19 Y . Kian, Z. Li, Y . Liu, M. Y amamoto

  32. [32]

    Z. Li, Y . Liu, M. Y amamoto, Inverse problems of determin ing parameters of the fractional partial differential equations, in: Anatoly Kochubei and Y uri Luchko (Eds.), Han dbook of Fractional Calculus with Applications. V olume 2: Fractional Differential Equations, De Gruyter, Berlin, 2019, pp. 431–442

  33. [33]

    Z. Li, M. Y amamoto, Inverse problems of determining coe fficients of the fractional partial differential equations , in: Anatoly Kochubei and Y uri Luchko (Eds.), Handbook of Fra ctional Calculus with Applications. V olume 2: Fractional Differential Equations, De Gruyter, Berlin, 20 19, pp. 443–463

  34. [34]

    Y . Liu, Z. Li, M. Y amamoto, Inverse problems of determin ing sources of the fractional partial differential equa- tions, in: A. Kochubei, Y . Luchko (Eds.), Handbook of Fracti onal Calculus with Applications. V olume 2: Frac- tional Differential Equations, De Gruyter, Berlin, 2019, p p. 411–430

  35. [35]

    Y . Liu, Z. Zhang, Reconstruction of the temporal compon ent in the source term of a (time-fractional) diffusion equation, J. Phys. A 50 (2017) 305203

  36. [36]

    Y . Luchko, Initial-boundary value problems for the gen eralized time-fractional diffusion equation, in: Proceed - ings of 3rd IFAC Workshop on Fractional Differentiation and Its Applications (FDA08), Ankara, Turkey, 05–07 November 2008, 2008

  37. [37]

    Metzler, J

    R. Metzler, J. Klafter, The random walk’s guide to anoma lous diffusion: a fractional dynamics approach, Phys. Rep. 339 (2000) 1–77

  38. [38]

    Miller, B

    K.S. Miller, B. Ross, An Introduction to the Fractional Calculus and Fractional Differential Equations, Wiley, New Y ork, 1993

  39. [39]

    Pohjola, A uniqueness result for an inverse problem o f the steady state convection-diffusion equation, SIAM J

    V . Pohjola, A uniqueness result for an inverse problem o f the steady state convection-diffusion equation, SIAM J. Math. Anal. 47 (2015) 2084–2103

  40. [40]

    Podlubny, Fractional Differential Equations, Acad emic Press, San Diego, 1999

    I. Podlubny, Fractional Differential Equations, Acad emic Press, San Diego, 1999

  41. [41]

    Roman, P .A

    H.E. Roman, P .A. Alemany, Continuous-time random walk s and the fractional diffusion equation, J. Phys. A 27 (1994) 3407–3410

  42. [42]

    Sakamoto, M

    K. Sakamoto, M. Y amamoto, Initial value/boundary valu e problems for fractional diffusion-wave equations and applications to some inverse problems, J. Math. Anal. Appl. 382 (2011) 426–447

  43. [43]

    Samko, A.A

    S.G. Samko, A.A. Kilbas, O.I. Marichev, Fractional Int egrals and Derivatives: Theory and Applications, Gordon and Breach Science Publishers, Philadelphia, 1993

  44. [44]

    Salo, Inverse problems for nonsmooth first order pert urbations of the Laplacian, Ph.D

    M. Salo, Inverse problems for nonsmooth first order pert urbations of the Laplacian, Ph.D. Thesis, University of Helsinki, 2004. 20