Alberto Saldaña De Fuentes - KITsaldana/media/ulisboa.pdfAlberto Saldaña De Fuentes o (Brussels)...
Transcript of Alberto Saldaña De Fuentes - KITsaldana/media/ulisboa.pdfAlberto Saldaña De Fuentes o (Brussels)...
March 30, 2017
Seminar at Universidade de Aveiro
,
On maximum principles for higher-order fractional Laplacians
Alberto Saldaña De Fuentes
joint work with N. Abatangelo (Brussels) and S. Jarohs (Frankfurt)
Maximumprinciples!
Existence anduniqueness
Sub-SuperSolutionMethod
QualitativeProperties
Symmetryresults
Positivity
A prioriestimates
Non-existence
Other toolsHopf
Lemma
Harnackinequalities
Regularity
Alberto Saldana
A bit of history on maximum principles
L =∑Ni,j=1 aij∂iju+
∑Ni=1 bi∂iu+ cu,
∑Ni,j=1 aijξiξj ≥ λ|ξ|2
1839 C.F. Gauss and S. Earnshaw (separately),(sub)harmonic functions.
1892 A. Paraf, L with c < 0, N = 2.
1894 T. Moutard, M.P. for L with c < 0, N ≥ 1.
1905 E. Picard, M.P. for L with c ≤ 0, N = 2.
1927 E. Hopf, M.P. for L with L∞ coefficients.
1952 E. Hopf and O.A. Oleinik (separately), M.P. withboundary estimates.
Gauss
E. Hopf
Alberto Saldana
The simplest case of a maximum principle
Let u ∈ C2(0, 1) such that −u′′ > 0, then u minimizes at the boundary 0, 1,i.e.,
min(0,1)
u = min∂(0,1)
u
Alberto Saldana
Maximum principles for the Laplacian
Let Ω be a smooth bounded domain (open and connected) and u ∈ C2(Ω).
−∆u ≥ 0 =⇒ minΩu = min
∂Ωu (weak maximum principle),
−∆u ≥ 0
minΩu = u(x0)
x0 ∈ Ω
=⇒ u ≡ u(x0) in Ω (strong maximum principle).
Alberto Saldana
Positivity preserving properties
Let Ω be a smooth bounded domain and u ∈ C2(Ω).
−∆u ≥ 0 in Ω
u ≥ 0 on ∂Ω=⇒ u ≥ 0 in Ω
The solution inherits the sign of the data. Many physical interpretations ofthis are possible: heat diffusion equilibrium.
Alberto Saldana
Positivity preserving properties
Let Ω be a smooth bounded domain and u ∈ C2(Ω).
−∆u ≥ 0 in Ω
u ≥ 0 on ∂Ω=⇒ u ≥ 0 in Ω
The solution inherits the sign of the data. Many physical interpretations ofthis are possible: population diffusion equilibrium.
Alberto Saldana
Positivity preserving properties
Let Ω be a smooth bounded domain and u ∈ C2(Ω).
−∆u ≥ 0 in Ω
u ≥ 0 on ∂Ω=⇒ u ≥ 0 in Ω
The solution inherits the sign of the data. Many physical interpretations ofthis are possible: stress distribution/ elastic membrane.
Alberto Saldana
However, not all operators have maximum principles...
Let ∆2 denote the bilaplacian, that is, ∆2u = −∆(−∆u).
A counterexample for the bilaplacian [Shapiro & Tegmark, ’94]
Let E := (x, y) ∈ R2 : Q(x, y) := x2 + 25y2 − 1 < 0 and
u(x, y) := Q(x, y)2((1− x)2(4− 3x)− ε)
with ε > 0 small. Then ∆2u ≥ 0 in E and u = ∂νu = 0 on ∂E but u changessign .
Alberto Saldana
But... why??
To gain some insight, let us have a look at models for suspension bridges!
Some simplified model is the following: Let u denote the displacement of thebridge caused by a load f , then u satisfies
uxxxx = −ku+ +W + f(x) in (0, L),
where W is the weight of the bridge itself and ku+ is the effect of thesuspension cables. We complement this equation with
u(0) = u(L) = uxx(0) = uxx(L) = 0 (Navier boundary conditions)
u(0) = u(L) = ux(0) = ux(L) = 0 (Dirichlet boundary conditions)
This equation follows from minimizing an energy functional of the type
I(u) =
∫ L
0
|u′′|2 + . . . ,
where the term |u′′|2 is an approximation of the curvature under theassumption of small deformations.
Alberto Saldana
I(u) =
∫ L
0
|u′′|2 + . . . ,
But minimizing curvature-type terms |u′′| (at the expense of u′) can becounterintuitive sometimes...
Minimizing u′ Minimizing u′′
Alberto Saldana
On the other hand, not everything is lost
Positivity preserving properties such as
(−∆)mu ≥ 0 in Ω
Dαu|∂Ω = 0 for |α| ≤ m− 1=⇒ u ≥ 0 in Ω,
still hold for some domains!
Example : Ω = B1(0) ⊂ RN or a small smooth perturbation of a ball.
Why? : The Green function is explicitly known (Lauricella in 1896 for m = 2and N = 2; and Boggio in 1905 for N ≥ 1) and it is positive!
GΩ,(−∆)m(x, y) = C|x− y|2m−N∫ ρ(x,y)
0
tm−1
(t+ 1)N2
dt
where
ρ(x, y) :=(1− |x|2)+(1− |y|2)+
|x− y|2.
Alberto Saldana
“Some”domains?
The deep reason why some domains have positive Greenfunction GΩ,(−∆)m is not known.
It has also been observed numerically that positivitypreserving almost occurs: solutions inherit the sign of the dataexcept for a small contribution.
Alberto Saldana
Our goal
Let us have a look at what happens between −∆ and ∆2.
Question:
At which point does the maximum principle stops being valid? That is, forwhich s ∈ (1, 2) is a fractional Laplacian (−∆)s positivity preserving?
We need:
F A good notion of (−∆)s for s ∈ (1, 2).
F A proof or a counterexample of the Maximum Principle.
Alberto Saldana
The fractional setting for s ∈ (0, 1)
Let s ∈ (0, 1), Ω ⊂ RN a smooth bounded domain and consider the Hilbertspace
Hs0(Ω) := u ∈ Hs(RN ) : u ≡ 0 on RN\Ω
equipped with the norm ‖u‖Hs0(Ω) = (‖u‖L2(Ω) + Es(u, u))
12 where
Es(ϕ,ψ) = CN,s
∫RN
∫RN
(ϕ(x)− ϕ(y))(ψ(x)− ψ(y))
|x− y|N+2sdxdy
In fact, Es(ϕ,ψ) =∫RN |ξ|2sϕ(ξ)ψ(ξ) dξ.
Here:
Hs(RN ) = u ∈ L2(RN ) : (1 + |ξ|2)s2 u ∈ L2(RN ), s ∈ R,
u(ξ) =
∫ ∞−∞
u(x)e−2πix·ξ dx is the Fourier transform of u.
Alberto Saldana
The fractional setting for s ∈ (0, 1)
Let s ∈ (0, 1), Ω ⊂ RN a smooth bounded domain, and f ∈ L2(Ω). A functionu ∈ Hs0(Ω) is a weak solution of (−∆)su = f in Ω if
Es(u, v) =
∫Ω
f v dx for all v ∈ Hs0(Ω).
Regularity: If f ∈ Cα(Ω) then actually u ∈ Cs(RN ) ∩ C2s+ε(Ω) and solves
(−∆)su(x) := cN,s limε→0
∫|x−y|>ε
u(x)− u(y)
|x− y|N+2sdy = f(x), x ∈ Ω
with u ≡ 0 on RN\Ω.Limiting: (−∆)su→ u as s→ 0, (−∆)su→ −∆u as s→ 1, if u ∈ C∞c (RN ).
Alberto Saldana
And if s > 1?
These notions cannot be plainly extended to s > 1, in fact, if∫Ω
∫Ω
(u(x)− u(y))2
|x− y|N+2sdxdy <∞ for s > 1 (Ω open and connected)
then u must be a constant in Ω.
Alberto Saldana
What people usually did...
One may consider the functional I : Hs0(Ω)→ R given by
I(u) :=
∫RN
|(−∆)s2u|2
2− f u dx,
and the minimizer is the weak solution of
(−∆)su = f in Ω, u ≡ 0 on RN\Ω.
z Pohozaev identity and integration by parts (Ros-Oton & Serra (2015)).
z Regularity (Grubb (2015)).
z Spectral properties (Musina & Nazarov (2015)).
z Nonlinear problems (Fazly & Wei (2016), Lopes & Maris (2008),Maalaoui & Martinazzi & Schikorra (2015), Palatucci & Pisante (2015))
Alberto Saldana
Our variational framework for s > 1
Let m ∈ N0, σ ∈ (0, 1), and s = m+ σ. For u, v ∈ Hs0(Ω) let
Es(u, v) :=
Eσ(∆
m2 u,∆
m2 v), if m is even,
N∑k=1
Eσ(∂k∆m−1
2 u, ∂k∆m−1
2 v), if m is odd,(1)
where, as before,
Eσ(ϕ,ψ) = CN,s
∫RN
∫RN
(ϕ(x)− ϕ(y))(ψ(x)− ψ(y))
|x− y|N+2σdxdy.
So, for instance,
E1+σ(u, u) = CN,s
∫RN
∫RN
|∇u(x)−∇u(y)|2
|x− y|N+2σdxdy.
Alberto Saldana
Maximum principles for weak solutions, s = 1
Let Ω be a bounded domain, u ∈ H10 (Ω), and E(u, v) :=
∫Ω∇u∇v dx.
E(u, v) ≥ 0 ∀v ∈ H10 (Ω), v ≥ 0 =⇒ u ≥ 0 in Ω
Proof.
Since u− := −minu, 0, u+ := maxu, 0 ∈ H10 (Ω), we have that
0 ≤ E(u, u−) = E(u+, u−)− E(u−, u−) = −∫
Ω
|∇u−|2 dx ≤ 0 =⇒ u− ≡ 0.
Note that E(u+, u−) = 0.
Alberto Saldana
Maximum principles for weak solutions, s ∈ (0, 1)
Let Ω be a bounded domain and u ∈ Hs0(Ω).
Es(u, v) ≥ 0 ∀v ∈ Hs0(Ω), v ≥ 0 =⇒ u ≥ 0 in Ω
Proof.
Since u− := −minu, 0, u+ := maxu, 0 ∈ Hs0(Ω), we have that
0 ≤ Es(u, u−) = Es(u+ − u−, u−) = Es(u
+, u−)− Es(u−, u−) ≤ 0
and therefore u− ≡ 0. Note that
Es(u+, u−) = −2CN,s
∫RN
∫RN
u+(x)u−(y)
|x− y|N+2sdxdy ≤ 0.
Alberto Saldana
What about s > 1 ?
Let Ω be a bounded smooth domain and u ∈ Hs0(Ω), does it hold that
Es(u, v) ≥ 0 ∀v ∈ Hs0(Ω), v ≥ 0 =⇒ u ≥ 0 in Ω ?
We actually have that
Bourdaud & Meyer (1991)
u− := −minu, 0, u+ := maxu, 0 ∈ Hs0(Ω) for s ∈ (0,3
2).
Could it be that the maximum principle holds for s ∈ (0, 32 )?
Well...
Alberto Saldana
Let’s try...
Let Ω be a bounded smooth domain and u ∈ Hs0(Ω) with s ∈ (1, 32 ). Then
Es(u, u−) = Es(u
+ − u−, u−) = Es(u+, u−)− Es(u−, u−),
where
Es(u−, u−) = CN,s
∫RN
∫RN
|∇u−(x)−∇u−(y)|2
|x− y|N+2σdxdy ≥ 0
Es(u+, u−) = −2CN,s
∫RN
∫RN
∇u+(x) · ∇u−(y)
|x− y|N+2σdxdy
Naively, two integration by parts would yield that
−∫RN
∫RN
∇u+(x) · ∇u−(y)
|x− y|N+2σdxdy = (N + 2σ)s
∫RN
∫RN
u+(x)u−(y)
|x− y|N+2sdxdy ≥ 0.
This calculation cannot be done that easily, but it has recently been showedthat Es(u
+, u−) ≥ 0 (Musina & Nazarov, 2017).
Alberto Saldana
Counterexample for s ∈ (1, 2) [Abatangelo, Jarohs, A.S.]
X Let s = 1 + σ, B = B1(0), and U = B1(3e1).
X Ψ(x) := (1− |x|2)s+ ∈ Hs0(B) =⇒ (−∆)sΨ = c in B for some c > 0 and
Es(Ψ, ϕ) = c
∫B
ϕ dx for all ϕ ∈ Hs0(B).
X g ∈ C∞c (U) nonnegative with ‖g‖L∞(U) ≤ 1 and g ≡ 0 in RN\U . Then,
Es(g, ϕ) =∫U
(−∆)sg ϕ dx for ϕ ∈ Hs0(U) and (−∆)sg ∈ L∞(RN ).
X u ∈ Hs0(B ∪ U) be given by u := aΨ−g , where a > 0 is a large constant.
Alberto Saldana
Counterexample for s ∈ (1, 2)
We now show that Es(u, ϕ) ≥ 0 for all nonnegative ϕ ∈ Hs0(B ∪ U).Let ϕ ∈ Hs0(B ∪ U) nonnegative and
ϕB := ϕχB ∈ Hs0(B), ϕU := ϕχU ∈ Hs0(U).
Since ϕ = ϕB + ϕU , it suffices to show that Es(u, ϕB) ≥ 0 and Es(u, ϕU ) ≥ 0.
Alberto Saldana
Counterexample for s ∈ (1, 2)
Indeed,
Es(u, ϕB) = aEs(Ψ, ϕB)− Es(g, ϕB)
= ac
∫B
ϕB dx− C∫B
∫U
ϕB(x)g(y)
|x− y|N+2sdydx
≥ ac∫B
ϕB dx− C|U |∫B
ϕB(x)dx ≥ 0 for a large enough,
since |x− y|N+2s ≥ 1 for x ∈ B and y ∈ U and ‖g‖L∞(U) ≤ 1.
Alberto Saldana
Counterexample for s ∈ (1, 2)
And...
Es(u, ϕU ) = aEs(Ψ, ϕU )− Es(g, ϕU )
= aC
∫B
∫U
Ψ(x)ϕU (y)
|x− y|N+2sdydx−
∫U
(−∆)sg ϕU dx
≥ aC ′∫B
Ψ(x)dx
∫U
ϕU (y) dy − ‖(−∆)sg‖L∞(RN )
∫U
ϕU dx
≥ 0 for a large enough,
since |x− y| ≤ 5 for x ∈ B and y ∈ U , Es(g, ϕ) =∫U
(−∆)sg ϕU dx, and(−∆)sg ∈ L∞(RN ). Therefore Es(u, ϕ) = Es(u, ϕB) + Es(u, ϕU ) ≥ 0 and theproof is finished.
Alberto Saldana
Some remarks
∅ The two disjoint balls can be connected with a thin tube, to make thedomain connected.
∅ The counterexample can be extended to any s ∈ (k, k + 1) for k ∈ N odd.
∅ A counterexample to maximum principles for s ∈ (k, k + 1) for k ∈ N evenremains an open question, but we do not expect the M.P. to hold for anys > 1.
∅ Surprisingly, the only counterexample to maximum principles for oddpowers of the Laplacian was obtained last year (2016), by Guido Sweers(a polynomial in an ellipse for s = 3).
Alberto Saldana
A positive case
Maximum principles for (−∆)s do hold in balls for any s > 0, since the Greenfunction is positive and it is given by Boggio’s formula:
GB,(−∆)s(x, y) = CN,s|x− y|2s−N∫ ρ(x,y)
0
ts−1
(t+ 1)N2
dt,
where
ρ(x, y) :=(1− |x|2)+(1− |y|2)+
|x− y|2.
♠ s = 2 and N = 2 Lauricella, 1896.
♠ s ∈ N Boggio, 1905.
♠ s ∈ (0, 1) Riesz, 1938 and Blumenthal-Getoor-Ray, 1961.
♠ s > 1 Dipierro-Grunau, 2016, and Abatangelo-Jarohs-S., 2016.
Alberto Saldana
Another positive case
Maximum principles for (−∆)s do hold in two disjoint balls Ω = B ∪B1(te1)for s ∈ (m,m+ 1) with m even and t ≥ 3, since the Green function is positive.
Theorem (N. Abatangelo, S. Jarohs, and A.S., 2017)
Let s = m+ σ > 0, t ≥ 3, Bt := B1(te1), and
ΓB(x, y) = (−1)mγN,σ(1− |x|2)s
(|y|2 − 1)s|x− y|N.
The unique (Dirichlet) Green function GΩ of (−∆)s in Ω = B ∪Bt satisfies
GΩ(x, y) = GB(x, y) +
∫Bt
ΓB(x, z)GΩ(y, z) dz for x, y ∈ B, x 6= y,
GΩ(x, y) =
∫Bt
ΓB(x, z)GΩ(z, y) dz for x ∈ B, y ∈ Bt,
Alberto Saldana
Another positive case
Theorem (N. Abatangelo, S. Jarohs, and A.S., 2017)
Let N ∈ N, m ∈ N0, σ ∈ (0, 1), s = m+ σ. Then,
GΩ > 0 in (x, y) ∈ (B ×B) ∪ (Bt ×Bt) : x 6= y
and
GΩ > 0 in (B ×Bt) ∪ (Bt ×B) if m is even,
GΩ < 0 in (B ×Bt) ∪ (Bt ×B) if m is odd.
Alberto Saldana
The take away
General maximum principles only hold for s ∈ [0, 1].
It is not the belonging of u+ and u− to the right space what makes themaximum principle valid.
There is still much to be studied in terms of what makes a domain have aPPP or not and what kinds of weaker PPP can be used.
Alberto Saldana
Some interesting references:
Introductions to higher-order physical and mathematical models:
♣ Polyharmonic Boundary Value Problems (2010), Gazzola, Grunau,Sweers.
♣ Mathematical Models for Suspension Bridges (2015), Gazzola.
♣ Spatial Patterns, Higher Order Models in Physics andMechanics (2001), Peletier, Troy.
♣ On Sign Preservation for Clotheslines, Curtain Rods, ElasticMembranes and Thin Plates (2016), Sweers.
Our preprint available in arXiv.org:
♣ On the maximum principle for higher-order fractionalLaplacians (2016), Abatangelo, Jarohs, S.
Alberto Saldana