1 Introduction
The study of inverse problems for fractional elliptic equations has become an active field in recent years, driven by applications in anomalous diffusion and random processes with jumps. The fractional Calderón problem, first introduced in [Reference Ghosh, Salo and Uhlmann7], asks whether one can determine a potential
$ q(x) $
in the equation
from exterior measurements encoded in the Dirichlet-to-Neumann (DN) map. This problem generalizes the classical Calderón problem [Reference Calderón1] to the nonlocal setting and has inspired various extensions: to anisotropic operators [Reference Ghosh, Lin and Xiao5], to magnetic potentials [Reference Covi3, Reference Li13, Reference Li14], to equations with drift [Reference Cekić, Lin and Ruland2], to parabolic equations [Reference Lai, Lin and Ruland10], and to nonlinear equations [Reference Lai and Lin8, Reference Lai and Lin9, Reference Lai and Ohm11, Reference Lai and Zhou12, Reference Li15]. In the magnetic setting, two distinct fractional magnetic Laplacians have been introduced. The first, given by a singular integral with a magnetic phase, was studied in [Reference d’Avenia and Squassina4] and later used in [Reference Li13] to formulate an inverse problem where the electric potential
$ q $
is determined from partial exterior measurements for a fixed magnetic potential
$ A $
. The second, defined via a magnetic fractional gradient, was introduced in [Reference Covi3] and shown to allow simultaneous recovery of
$ A $
and
$ q $
up to gauge. Nonlinear fractional inverse problems have been addressed using linearization and higher-order linearization [Reference Lai and Lin8, Reference Lai and Lin9, Reference Lai and Ohm11, Reference Lai and Zhou12, Reference Li15], as well as monotonicity methods [Reference Lin16]. Single-measurement uniqueness and reconstruction, and single-measurement stability, were established in [Reference Ghosh, Ruland, Salo and Uhlmann6, Reference Rüland19], respectively.
In this work, we consider a magnetic fractional Schrödinger equation with both a linear potential
$ q(x) $
and a nonlinear potential
$ a(x,u) $
analytic in
$ u $
. Let
$ \Omega \subset \mathbb {R}^n $
,
$ n \geq 2 $
, be a bounded domain with smooth boundary, and let
$ \Omega _e = \mathbb {R}^n \setminus \overline {\Omega } $
. For
$ 0 < s < 1 $
, we study
where
$ \mathcal {L}_A^s $
is the magnetic fractional Laplacian defined via the bilinear form
with
$ K(x,y) $
satisfying
$ C_1|x-y|^{-(n+2s)} \leq K(x,y) \leq C_2|x-y|^{-(n+2s)} $
. The magnetic potential
$ A \in L^\infty (\mathbb {R}^n) $
is assumed known, while
$ q \in L^\infty (\Omega ) $
and
$ a: \Omega \times \mathbb {R} \to \mathbb {R} $
are unknown. The nonlinearity
$ a(x,u) $
is analytic in
$ u $
with
$ a(x,0) = \partial _u a(x,0) = 0 $
.
The inverse problem is: given the DN map
where
$ u_f $
solves (1.1), determine both
$ q $
and
$ a $
simultaneously. Our main result is the following.
Theorem 1.1 Let
$ A $
be fixed. Assume
$ q_j \in L^\infty (\Omega ) $
and
$ a_j(x,u) $
analytic in
$ u $
with
$ a_j(x,0)=\partial _u a_j(x,0)=0 $
for
$ j=1,2 $
. Let
$ W_1,W_2\subset \Omega _e $
be open with
$ W_j\setminus \overline {B_{3r}(0)}\neq \emptyset $
for some
$ r>0 $
such that
$ \Omega \cup \mathrm {supp} A\subset B_r(0) $
. If
for all
$ f\in C_c^\infty (W_1) $
with
$ \|f\|_{C_c^\infty } $
sufficiently small, then
Remark 1.2 (Gauge invariance)
In contrast to the setting where
$ A $
is unknown and subject to gauge transformations
$ A \to A + \nabla \psi $
, here we assume that
$ A $
is fixed and known. This eliminates gauge ambiguity and allows absolute recovery of
$ q(x) $
and
$ a(x,u) $
. Such an assumption is natural in physical situations where the magnetic potential can be independently measured or controlled.
1.1 Main ideas and contributions
The proof of Theorem 1.1 relies on higher-order linearization, a technique that reduces nonlinear inverse problems to sequences of linear ones. By differentiating the equation with respect to a small parameter in the Dirichlet data, we obtain a hierarchy of linear equations. The first linearization recovers
$ q $
via the linear magnetic Calderón problem studied in [Reference Li13]. Subsequent linearizations uniquely determine the Taylor coefficients of
$ a(x,u) $
inductively.
A key tool is the Runge approximation property for
$ \mathcal {L}_A^s + q $
, which follows from the strong uniqueness property of the fractional Laplacian and allows testing the linearized identities against a dense set of solutions. Related nonlinear magnetic fractional inverse problems were studied in [Reference Lai and Zhou12, Reference Li15]; here, both the linear potential and the analytic nonlinearity are treated as unknown coefficients.
1.2 Related work
For local magnetic Schrödinger operators
$ (-i\nabla + A)^2 + q $
, the Calderón problem has been extensively studied [Reference Nakamura, Sun and Uhlmann17, Reference Sun20, Reference Uhlmann21], with recovery of
$ A $
up to gauge and
$ q $
. The nonlocal magnetic counterpart was investigated in [Reference Li13] for a fixed
$ A $
, and recovery of unknown magnetic and electric coefficients was studied in [Reference Covi3, Reference Li14]. Nonlinear fractional inverse problems were treated using linearization and higher-order linearization in [Reference Lai and Lin8, Reference Lai and Lin9, Reference Lai and Ohm11, Reference Lai and Zhou12, Reference Li15], while a monotonicity method was developed in [Reference Lin16]. The present work combines these directions by considering a nonlinear magnetic fractional equation with known
$ A $
, focusing on simultaneous recovery of
$ q $
and
$ a $
.
1.3 Organization of the article
Section 2 sets up notation, function spaces, and properties of
$ \mathcal {L}_A^s $
. Section 3 establishes well-posedness of the direct problem for small data. Section 4 defines the DN map and develops the linearization formulas. Section 5 contains the proof of Theorem 1.1.
2 Preliminaries
2.1 Function spaces
For
$s\in (0,1)$
, the fractional Sobolev space
$H^s({\mathbb R}^n)$
is defined via the norm
where the Gagliardo seminorm is
For an open set
$U\subset {\mathbb R}^n$
, we define
When U is a bounded Lipschitz domain, we have
$\widetilde {H}^s(U) = H^s_{\overline {U}}({\mathbb R}^n)$
. For boundary regularity of the Dirichlet problem for the standard fractional Laplacian, see [Reference Ros-Oton and Serra18].
2.2 Magnetic fractional Laplacian
Following Li [Reference Li13], we define the magnetic fractional Laplacian
$\mathcal {L}_A^s$
via its bilinear form:
for
$u,v\in H^s({\mathbb R}^n)$
, where
$K(x,y)=K(y,x)$
satisfies
2.3 Kernel specification
The kernel
$K(x,y)$
in Li’s operator is defined through the heat kernel
$p_t(x,y)$
of the uniformly elliptic operator
$\mathcal {L}=-\nabla \cdot (M(x)\nabla )$
:
where
$M(x)$
is a smooth symmetric matrix-valued function satisfying
$C^{-1}|\xi |^2\leq M(x)\xi \cdot \xi \leq C|\xi |^2$
. When
$M=I$
, we recover
$K(x,y)=c_{n,s}|x-y|^{-(n+2s)}$
, the kernel of the standard fractional Laplacian. Throughout, we assume that K satisfies the bounds above.
2.4 Bilinear form and Green’s formula
The magnetic fractional Laplacian
$\mathcal {L}_A^s$
is defined through its bilinear form as in (2.1). For
$u,v\in H^s({\mathbb R}^n)$
, we have the integration by parts formula (Green’s first identity for
$\mathcal {L}_A^s$
):
where
$A_{x,y} = (x-y)\cdot A(\frac {x+y}{2})$
. When u solves
$\mathcal {L}_A^s u + q(x)u + a(x,u) = 0$
in
$\Omega $
and
$v\in H^s({\mathbb R}^n)$
with
$ {\mathrm {supp}}(v|_{\Omega _e})\subset W_2$
, we obtain the identity:
Remark 2.1 Unlike the standard fractional Laplacian, the operator
$\mathcal {L}_A^s$
is not real-valued when
$A \neq 0$
. Even for real-valued exterior data f, the solution u to
${\mathcal {L}_A^s u + q u = 0}$
will generally be complex-valued due to the magnetic phase
$e^{iA_{x,y}}$
. This is a fundamental difference from the non-magnetic case and means we cannot appeal to positivity or maximum principle arguments that rely on real-valuedness and sign preservation. Instead, our uniqueness proof will rely entirely on linear algebraic arguments using density of products of solutions.
2.5 Runge approximation and unique continuation
A key tool in our analysis is the Runge approximation property for
$\mathcal {L}_A^s+q$
, proved by Li [Reference Li13, Proposition 5.4].
Proposition 2.2 (Runge approximation)
Assume
$\Omega \cup {\mathrm {supp}} A\subset B_r(0)$
and let
${W\subset \Omega _e}$
be open with
$W\setminus \overline {B_{3r}(0)}\neq \emptyset $
. For
$q\in L^\infty (\Omega )$
such that the problem
$\mathcal {L}_A^s u+qu=0$
is well-posed, the set
is dense in
$L^2(\Omega )$
. Moreover, the same holds for the adjoint operator
$\mathcal {L}_{-A}^s+q$
.
This is based on the strong uniqueness property of
$\mathcal {L}^s$
and the fact that
$\mathcal {L}_A^s u|_W = \mathcal {L}^s u|_W$
when
$u\in \widetilde {H}^s(\Omega )$
and W is far from
$\Omega $
.
Remark 2.3 (UCP for inhomogeneous equations)
The unique continuation property extends to inhomogeneous equations as follows: If
$u_1, u_2 \in \widetilde {H}^s(\Omega )$
satisfy
and
$\mathcal {L}_A^s u_1|_W = \mathcal {L}_A^s u_2|_W$
for W as above, then
$u_1 = u_2$
in
${\mathbb R}^n$
. The proof considers
${w = u_1 - u_2}$
, which satisfies
$\mathcal {L}_A^s w + q w = 0$
in
$\Omega $
and
$\mathcal {L}_A^s w|_W = 0$
. Since
$w \in \widetilde {H}^s(\Omega )$
, Li’s Lemma 5.2 gives
$\mathcal {L}^s w|_W = 0$
, and the UCP for
$\mathcal {L}^s$
implies
$w \equiv 0$
.
Lemma 2.4 (Tensor product density)
Let
$\mathcal {S} = \mathcal {S}_A(q,W_1)$
be as in Proposition 2.2. Then, the set
is dense in
$L^1(\Omega )$
for each
$k \geq 1$
.
Proof The case
$k=1$
is Proposition 2.2. For
$k \geq 2$
, we argue as follows. Since
$\mathcal {S}$
is dense in
$L^2(\Omega )$
and contains functions with nonvanishing product on any given compact set, the tensor products
$\mathcal {T}_k$
are dense. The key observation is that if a function
$\phi \in L^\infty (\Omega )$
satisfies
then by successively fixing
$u_2, \dots , u_k$
and using density of
$\mathcal {S}$
, we conclude
$\phi = 0$
a.e.
3 Well-posedness of the problem
For small exterior data, we establish existence and uniqueness of solutions to (1.1). We assume throughout that
$A\in L^\infty ({\mathbb R}^n)$
,
$q\in L^\infty (\Omega )$
, and
$a(x,u)$
is analytic in u with expansion
converging in
$C^1$
for
$|u|$
small.
Theorem 3.1 (Well-posedness for small data)
There exists
$\varepsilon _0>0$
such that for any
$f\in C_c^\infty (\Omega _e)$
with
$\|f\|_{C_c^\infty (\Omega _e)}<\varepsilon _0$
, the problem (1.1) has a unique solution
${u\in H^s({\mathbb R}^n)\cap C^s({\mathbb R}^n)}$
satisfying
with C independent of f.
Proof We use a fixed-point argument. First, let
$u_0$
solve the linear magnetic problem
Linear well-posedness follows from [Reference Li13]; the Hölder-space framework for the corresponding semilinear magnetic problem is developed in [Reference Li15]. Thus, this problem has a unique solution with
$\|u_0\|_{C^s}\leq C\|f\|_{C_c^\infty }$
. Let
$u = u_0 + v$
, where
$v\in \widetilde {H}^s(\Omega )$
solves
We define the map
$F(v) = w$
, where w solves
On the ball
$B_\delta = \{v\in \widetilde {H}^s(\Omega )\cap C^s({\mathbb R}^n): \|v\|_{C^s}\leq \delta \}$
with
$\delta $
small, using the analyticity of a and the boundedness of the solution operator for
$\mathcal {L}_A^s+q$
, we show F maps
$B_\delta $
to itself and is a contraction for sufficiently small
$\varepsilon _0,\delta $
. The contraction mapping theorem then gives a unique fixed point v, hence a unique solution
$u=u_0+v$
.
Remark 3.2 (Smallness condition)
The smallness condition
$\|f\|_{C_c^\infty (\Omega _e)}<\varepsilon _0$
serves two purposes:
-
(1) It ensures the solution u remains within the radius of convergence of the analytic expansion of $a(x,u)$
. Since
$a(x,u)=\sum _{k=2}^\infty a_k(x)u^k/k!$
, we need
$\|u\|_{L^\infty }$
sufficiently small for the series to converge in
$C^1$
. -
(2) It guarantees the map $F(v)$
in the fixed-point argument is a contraction. The nonlinear terms
$a(x,u_0+v)$
are Lipschitz with constant proportional to
${\|u_0+v\|_{C^s}}$
, which can be made less than 1 by taking
$\varepsilon _0,\delta $
sufficiently small.
For larger data, solutions may not be unique or may exhibit blow-up phenomena.
4 Dirichlet-to-Neumann map and its linearization
For
$f\in C_c^\infty (\Omega _e)$
with
$\|f\|_{C_c^\infty }<\varepsilon _0$
, let
$u_f$
be the unique solution to (1.1). Define the DN map
$\Lambda _{A,q,a}: C_c^\infty (\Omega _e) \to (C_c^\infty (\Omega _e))^*$
by
where the right-hand side is interpreted via the bilinear form (2.1) and the equation. Using (2.2), for
$\phi \in C_c^\infty (\Omega _e)$
, we have
since
$\phi $
vanishes in
$\Omega $
and
$u_f$
satisfies the equation.
4.1 Alessandrini-type identity
The following integral identity, proven by Li [Reference Li13, Proposition 4.7], is crucial for our uniqueness proof.
Lemma 4.1 (Alessandrini-type identity)
Let
$q_j \in L^\infty (\Omega )$
be regular for
$\mathcal {L}_A^s$
(
$j=1,2$
). For
$g_1, g_2 \in H^s(\mathbb {R}^n)$
, let
$u_1^+ = P_{A,q_1}(g_1)$
be the unique solution to
and let
$u_2^- = P_{-A,q_2}(g_2)$
be the unique solution to
Then,
Proof See Li [Reference Li13, Proposition 4.7]. The proof uses the symmetry
$\langle \mathcal {L}_A^s u, v \rangle = \langle \mathcal {L}_{-A}^s v, u \rangle $
and the definitions of the DN maps.
4.2 Higher-order linearization
To recover the coefficients, we employ higher-order linearization. For
$\varepsilon>0$
small and
$f\in C_c^\infty (W_1)$
, let
$u_\varepsilon $
solve (1.1) with
$u_\varepsilon |_{\Omega _e}=\varepsilon f$
. The analyticity of
$a(x,u)$
in u and the analytic implicit function theorem ensure that
$\varepsilon \mapsto u_\varepsilon $
is analytic in a neighborhood of
$\varepsilon =0$
with values in
$C^s({\mathbb R}^n)$
[Reference Lai and Lin9, Reference Li15]. Thus, we have the convergent expansion
Differentiating (1.1) k times at
$\varepsilon =0$
yields the following lemma.
Lemma 4.2 (Linearized equations)
Let
$u_\varepsilon $
be the unique solution to (1.1) with exterior data
$u_\varepsilon |_{\Omega _e} = \varepsilon f$
for
$f \in C_c^\infty (W_1)$
. Then, the k-th order variation
$u^{(k)} = \frac {\partial ^k}{\partial \varepsilon ^k} u_\varepsilon |_{\varepsilon =0}$
satisfies
where
$\mathcal {H}_1 = 0$
and for
$k \geq 2$
,
Proof By Theorem 3.1, for sufficiently small
$\varepsilon $
, the solution
$u_\varepsilon $
depends analytically on
$\varepsilon $
. We can thus express
$u_\varepsilon $
as the power series:
Since
$a(x, u)$
is analytic in u with
$a(x, 0) = \partial _u a(x, 0) = 0$
, its Taylor expansion is
Substituting (4.1) into the equation
$\mathcal {L}_A^s u_\varepsilon + q u_\varepsilon + a(x, u_\varepsilon ) = 0$
, we obtain
To find the equation for a specific
$u^{(k)}$
, we apply the Faà di Bruno formula to the nonlinear term. The coefficient of
$\varepsilon ^k$
in the expansion of
$a(x, u_\varepsilon )$
is exactly
Equating the terms of order
$\varepsilon ^k$
to zero yields the desired recursive system of linear equations. For the boundary conditions,
$u_\varepsilon |_{\Omega _e} = \varepsilon f$
implies
$u^{(1)}|_{\Omega _e} = f$
and
${u^{(k)}|_{\Omega _e} = 0}$
for
$k> 1$
.
5 Proof of the main theorem
We now prove Theorem 1.1. Assume
$\Lambda _{A,q_1,a_1} = \Lambda _{A,q_2,a_2}$
on
$W_2$
for small Dirichlet data supported in
$W_1$
.
5.1 Step 1: Recovery of q
From the equality of DN maps, their first derivatives coincide:
$\Lambda ^{(1)}_{A,q_1,a_1} = \Lambda ^{(1)}_{A,q_2,a_2}$
. But
$\Lambda ^{(1)}_{A,q_j,a_j} = \Lambda _{A,q_j}$
, the DN map for the linear magnetic Schrödinger equation.
Take
$f_1, f_2 \in C_c^\infty (W_1)$
. By Lemma 4.1 (Li’s Proposition 4.7), we have
where
$u_1^+ \kern1.3pt{=}\kern1.3pt P_{A,q_1}(f_1)$
solves
$\mathcal {L}_A^s u_1^+ + q_1 u_1^+ \kern1.3pt{=}\kern1.3pt 0$
in
$\Omega $
with
$u_1^+|_{\Omega _e}\kern1.3pt{=}\kern1.3pt f_1$
, and
${u_2^- = P_{-A,q_2}(f_2)}$
solves
$\mathcal {L}_{-A}^s u_2^- + q_2 u_2^- = 0$
in
$\Omega $
with
$u_2^-|_{\Omega _e}=f_2$
. Let
$\mathcal {S}_A(q_j,W_1)$
and
$\mathcal {S}_{-A}(q_j,W_1)$
be as in Proposition 2.2. Since these sets are dense in
$L^2(\Omega )$
, the set of products
$\{u_1^+ u_2^- : f_1, f_2 \in C_c^\infty (W_1)\}$
is dense in
$L^1(\Omega )$
(by Lemma 2.4 with
$k=2$
). Therefore, we conclude
$q_1 = q_2$
a.e. in
$\Omega $
. Denote
$q:=q_1=q_2$
.
5.2 Step 2: Recovery of
$a_2(x)=\partial _u^2 a(x,0)$
From the equality of DN maps, their second derivatives also coincide. Let
${f \in C_c^\infty (W_1)}$
and let
$u^{(1)}$
solve
$\mathcal {L}_A^s u^{(1)} + q u^{(1)} = 0$
with
$u^{(1)}|_{\Omega _e} = f$
. By Lemma 4.2, the second variations
$u^{(2)}_j$
satisfy for
$j=1,2$
:
Since
$\Lambda ^{(2)}_{A,q,a_1} = \Lambda ^{(2)}_{A,q,a_2}$
, we have
$\mathcal {L}_A^s u^{(2)}_1|_W = \mathcal {L}_A^s u^{(2)}_2|_W$
on
$W_2$
. By the unique continuation property for inhomogeneous equations (Remark 2.3), we deduce
$u^{(2)}_1 = u^{(2)}_2$
in
${\mathbb R}^n$
. Subtracting the equations gives
Now, consider the integrated form: For any
$f_1, f_2 \in C_c^\infty (W_1)$
with corresponding solutions
$u_1, u_2$
of
$\mathcal {L}_A^s u + q u = 0$
, we have
Let
$\mathcal {S} = \mathcal {S}_A(q,W_1)$
. By Lemma 2.4 with
$k=2$
, the set
$\{u_1 u_2 : u_1, u_2 \in \mathcal {S}\}$
is dense in
$L^1(\Omega )$
. Therefore,
$a_{2,1}(x) = a_{2,2}(x)$
a.e. in
$\Omega $
.
5.3 Step 3: Induction for higher-order coefficients
We proceed by induction. Assume for some
$m \geq 2$
, we have shown
and consequently
$u^{(k)}_1 = u^{(k)}_2$
for
$k=1,\dots ,m$
. Consider the
$(m+1)$
-th linearization. By Lemma 4.2 and the induction hypothesis, the difference
$w = u^{(m+1)}_1 - u^{(m+1)}_2$
satisfies
Since
$\Lambda ^{(m+1)}_{A,q,a_1} = \Lambda ^{(m+1)}_{A,q,a_2}$
, we have
$\mathcal {L}_A^s w|_W = 0$
on
$W_2$
. By Remark 2.3,
$w \equiv 0$
, so
Now, for any
$f_1, \dots , f_{m+1} \in C_c^\infty (W_1)$
with corresponding solutions
$u_1, \dots , u_{m+1} \in \mathcal {S}$
, we have
By Lemma 2.4 with
$k=m+1$
, the set
$\{u_1 \ldots u_{m+1} : u_1, \dots , u_{m+1} \in \mathcal {S}\}$
is dense in
$L^1(\Omega )$
. Therefore,
$a_{m+1,1}(x) = a_{m+1,2}(x)$
a.e. in
$\Omega $
. This completes the induction step.
5.4 Step 4: Recovery of the full nonlinearity
Since
$a_j(x,u)$
are analytic in u and all Taylor coefficients at
$u=0$
coincide, we conclude
This completes the proof of Theorem 1.1.
Competing interests
The author declares no competing interests.


