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On maximal and variational Fourier restriction
Vjekoslav Kovaˇc (U of Zagreb)
HRZZ UIP-2017-05-4129 (MUNHANAP)
joint work with Diogo Oliveira e Silva (U of Birmingham)
Hausdorff Institute, Universit¨at Bonn
May 9, 2019
Restriction of the Fourier transform |||| |||| ||||
S = a (hyper)surface in Rd (e.g. a paraboloid, a cone, a sphere)
Is it possible to give a meaning to f |S when f ∈ Lp
(R)? (Stein,
late 1960s)
p = 1 YES, because f is continuous
p = 2 NO, since f is an arbitrary L2
function
What can be said for 1 < p < 2?
A question depending on S and p
A priori estimate |||| |||| ||||
σ = a measure on S, e.g. (appropriately weighted) surface measure
We want an estimate for the restriction operator
Rf := f |S
of the form
f Lq
(S,σ)
≤ C f Lp
(Rd )
for some 1 ≤ q ≤ ∞ and all functions f ∈ S(Rd )
How to “compute” f |S ?
χ ∈ S(Rd ), Rd χ = 1, χε(x) := ε−d χ(ε−1x)
lim
ε→0+
f ∗ χε S
exists in the norm of Lq
(S, σ)
Adjoint formulation |||| |||| ||||
Equivalently, we want an estimate for the extension operator
(Eg)(x) =
S
e2πix·ξ
g(ξ) dσ(ξ)
Rf , g L2
(S,σ) = f , Eg L2
(Rd )
R: Lp
(Rd ) → Lq
(S, σ) ⇐⇒ E : Lq
(S, σ) → Lp
(Rd )
Restriction conjecture in d = 2 |||| |||| ||||
Essentially solved: p < 4
3, q ≤ p
3
For S = S1 Zygmund, 1974
For compact C2
curves S with curvature κ ≥ 0
dσ = arclength measure weighted by κ1/3
Carleson and Sj¨olin, 1972; Sj¨olin, 1974
Restriction conjecture in d ≥ 3 |||| |||| ||||
Largely open, even for the three classical hypersurfaces
paraboloid {ξ = (η, −2πk|η|2) : η ∈ Rd−1} with dσ(ξ) = dη
q = 2 Strichartz estimates for the Schr¨odinger equation
i∂tu + k∆u = 0 in Rd−1
u(·, 0) = u0
Conjecture: p < 2d
d+1 , q = (d−1)p
d+1 (note p < q)
Restriction conjecture in d ≥ 3 |||| |||| ||||
cone {ξ = (η, ±k|η|) : η ∈ Rd−1} with dσ(ξ) = dη/|η|
q = 2 Strichartz estimates for the wave equation
∂2
t u − k2∆u = 0 in Rd−1
u(·, 0) = u0, ∂tu(·, 0) = u1
Conjecture: p < 2(d−1)
d , q = (d−2)p
d (note p < q)
sphere {ξ ∈ Rd : |ξ| = k/2π} with surface measure σ
q = 2 The Helmholtz equation
∆u + k2
u = 0 in Rd
Conjecture: p < 2d
d+1 , q ≤ (d−1)p
d+1
Maximal Fourier restriction |||| |||| ||||
Theorem (M¨uller, Ricci, and Wright, 2016)
d = 2, S = C2
curve with κ ≥ 0, dσ = κ1/3 dl,
χ ∈ S(Rd ), p < 4
3, q ≤ p
3
sup
t>0
|f ∗ χt|
Lq
(S,σ)
≤ C f Lp
(Rd )
For f ∈ Lp
(Rd ) the restriction f |S makes sense pointwise, i.e.
lim
ε→0+
f ∗ χε (ξ) exists for σ-a.e. ξ ∈ S
(pointwise convergence on S(Rd ) + maximal estimate)
Higher dimensions |||| |||| ||||
Theorem (Vitturi, 2017)
d ≥ 3, S = Sd−1, σ = surface measure,
χ ∈ S(Rd ), p ≤ 4
3, q ≤ (d−1)p
d+1
(strict subset of the Tomas–Stein range (i.e. q = 2) when d ≥ 4)
sup
t>0
|f ∗ χt|
Lq
(Sd−1,σ)
≤ C f Lp
(Rd )
Idea: inserting the maximal function inside the non-oscillatory
restriction estimate
Variational Fourier restriction |||| |||| ||||
Can we do it “quantitatively”? Variational (semi)norms
Theorem (K. and Oliveira e Silva, 2018)
σ = surface measure on S2 ⊂ R3, χ ∈ S(R3) or χ = 1B(0,1), > 2
sup
0<t0<t1<···<tm
m
j=1
f ∗χtj −f ∗χtj−1
1/
L2
(S2,σ)
≤ C f L4/3
(R3)
If f ∈ L4/3
(R3), then for σ-a.e. ξ ∈ S2:
sup
0<t0<t1<···<tm
m
j=1
(f ∗ χtj )(ξ) − (f ∗ χtj−1 )(ξ)
1/
< ∞
=⇒ f ∗ χε (ξ) ε>0
makes O(δ− ) jumps of size ≥ δ
Abstract principle |||| |||| ||||
Theorem (K., 2018)
S ⊆ Rd a measurable set, σ = a measure on S,
µ = a complex measure on Rd , µt(E) := µ(t−1E), µ ∈ C∞
, η > 0
| µ(x)| ≤ D(1 + |x|)−1−η
Suppose that for some 1 ≤ p ≤ 2, p < q < ∞ the a priori F. r.
estimate holds. Then we have the maximal F. r. estimate:
sup
t∈(0,∞)
f ∗ µt
Lq
(S,σ)
≤ C f Lp
(Rd )
and for p < < ∞ we have the variational F. r. estimate:
sup
0<t0<t1<···<tm
m
j=1
f ∗ µtj − f ∗ µtj−1
1/
Lq
(S,σ)
≤ C f Lp
(Rd )
Consequences |||| |||| ||||
Covers the full Tomas–Stein range for the sphere Sd−1
Covers any known range for the paraboloid or the cone
One can take dµ(x) = χ(x) dx, χ ∈ S(Rd ) or χ = 1B(0,1)
One can take µ to be the surface measure on Sd−1 in
dimensions d ≥ 4 spherical averages of f :
1
µ(Sd−1) Sd−1
f (ξ + εζ) dµ(ζ)
Subsequent research |||| |||| ||||
Theorem (Ramos, 2019)
µ = a measure on R2, p < 4
3, q ≤ p
3
Maximal F. r. for S1 holds as soon as Mµg := supt>0 |g ∗ µt| is
bounded on Lr
(R2) for r > 2.
µ = a measure on R3, p ≤ 4
3, q ≤ 2
Maximal F. r. for S2 holds as soon as Mµg := supt>0 |g ∗ µt| is
bounded on L2
(R3).
⇐= spherical averages in d = 2, 3 (Bourgain, 1986; Stein, 1976)
The Christ–Kiselev trick |||| |||| ||||
Idea of the proof of the maximal F. r.:
Reduce to the supremum over t ∈ {t1 > t2 > · · · > tN}
Linearize the supremum:
f ∗ µt(ξ) (ξ) Lq
ξ(S,σ)
≤ C f Lp
(Rd )
Dualize:
Λ(f , g) :=
S
f ∗ µt(y) (y)g(y) dσ(y)
=
S Rd
f (x)g(y)e−2πix·y
ˇµ(t(y)x) dx dσ(y)
Denote Sn := {y ∈ S : t(y) = tn}
“Imagine” that ˇµ(tnx) = 1Fn (x) with F1 ⊆ F2 ⊆ · · · ⊆ FN
En := Fn  Fn−1 ∈ Rd =⇒ Fn = E1 ˙∪E2 ˙∪ · · · ˙∪En
This is where we cheat a little
The Christ–Kiselev trick |||| |||| ||||
We obtain:
Λ(f , g) =
S Rd
f (x)g(y)e−2πix·y
m,n
1≤m≤n≤N
1Em (x)1Sn (y) dx dσ(y)
This is a block-triangular truncation of K(x, y) = e−2πix·y
We need:
|Λ(f , g)| ≤ C f Lp
(Rd ) g Lq
(S,σ)
with a constant independent of N
It can be shown by induction(!) on N using only p < q (Tao, 2006)
The actual proof |||| |||| ||||
Rather begin by proving the variational estimate
Represent µ as a superposition of “nice” Schwartz cutoffs
Split into long and short variations (Jones, Seeger, and
Wright, 2008)
For long variations use a smooth version of the lemma by
Christ and Kiselev, 2001
+ variational upgrade by Oberlin, Seeger, Tao, Thiele, and
Wright, 2010
Short variations are trivial(!) (an off-diagonal square function
estimate)
Thank you for your attention!

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On maximal and variational Fourier restriction

  • 1. |||| |||| |||| On maximal and variational Fourier restriction Vjekoslav Kovaˇc (U of Zagreb) HRZZ UIP-2017-05-4129 (MUNHANAP) joint work with Diogo Oliveira e Silva (U of Birmingham) Hausdorff Institute, Universit¨at Bonn May 9, 2019
  • 2. Restriction of the Fourier transform |||| |||| |||| S = a (hyper)surface in Rd (e.g. a paraboloid, a cone, a sphere) Is it possible to give a meaning to f |S when f ∈ Lp (R)? (Stein, late 1960s) p = 1 YES, because f is continuous p = 2 NO, since f is an arbitrary L2 function What can be said for 1 < p < 2? A question depending on S and p
  • 3. A priori estimate |||| |||| |||| σ = a measure on S, e.g. (appropriately weighted) surface measure We want an estimate for the restriction operator Rf := f |S of the form f Lq (S,σ) ≤ C f Lp (Rd ) for some 1 ≤ q ≤ ∞ and all functions f ∈ S(Rd ) How to “compute” f |S ? χ ∈ S(Rd ), Rd χ = 1, χε(x) := ε−d χ(ε−1x) lim ε→0+ f ∗ χε S exists in the norm of Lq (S, σ)
  • 4. Adjoint formulation |||| |||| |||| Equivalently, we want an estimate for the extension operator (Eg)(x) = S e2πix·ξ g(ξ) dσ(ξ) Rf , g L2 (S,σ) = f , Eg L2 (Rd ) R: Lp (Rd ) → Lq (S, σ) ⇐⇒ E : Lq (S, σ) → Lp (Rd )
  • 5. Restriction conjecture in d = 2 |||| |||| |||| Essentially solved: p < 4 3, q ≤ p 3 For S = S1 Zygmund, 1974 For compact C2 curves S with curvature κ ≥ 0 dσ = arclength measure weighted by κ1/3 Carleson and Sj¨olin, 1972; Sj¨olin, 1974
  • 6. Restriction conjecture in d ≥ 3 |||| |||| |||| Largely open, even for the three classical hypersurfaces paraboloid {ξ = (η, −2πk|η|2) : η ∈ Rd−1} with dσ(ξ) = dη q = 2 Strichartz estimates for the Schr¨odinger equation i∂tu + k∆u = 0 in Rd−1 u(·, 0) = u0 Conjecture: p < 2d d+1 , q = (d−1)p d+1 (note p < q)
  • 7. Restriction conjecture in d ≥ 3 |||| |||| |||| cone {ξ = (η, ±k|η|) : η ∈ Rd−1} with dσ(ξ) = dη/|η| q = 2 Strichartz estimates for the wave equation ∂2 t u − k2∆u = 0 in Rd−1 u(·, 0) = u0, ∂tu(·, 0) = u1 Conjecture: p < 2(d−1) d , q = (d−2)p d (note p < q) sphere {ξ ∈ Rd : |ξ| = k/2π} with surface measure σ q = 2 The Helmholtz equation ∆u + k2 u = 0 in Rd Conjecture: p < 2d d+1 , q ≤ (d−1)p d+1
  • 8. Maximal Fourier restriction |||| |||| |||| Theorem (M¨uller, Ricci, and Wright, 2016) d = 2, S = C2 curve with κ ≥ 0, dσ = κ1/3 dl, χ ∈ S(Rd ), p < 4 3, q ≤ p 3 sup t>0 |f ∗ χt| Lq (S,σ) ≤ C f Lp (Rd ) For f ∈ Lp (Rd ) the restriction f |S makes sense pointwise, i.e. lim ε→0+ f ∗ χε (ξ) exists for σ-a.e. ξ ∈ S (pointwise convergence on S(Rd ) + maximal estimate)
  • 9. Higher dimensions |||| |||| |||| Theorem (Vitturi, 2017) d ≥ 3, S = Sd−1, σ = surface measure, χ ∈ S(Rd ), p ≤ 4 3, q ≤ (d−1)p d+1 (strict subset of the Tomas–Stein range (i.e. q = 2) when d ≥ 4) sup t>0 |f ∗ χt| Lq (Sd−1,σ) ≤ C f Lp (Rd ) Idea: inserting the maximal function inside the non-oscillatory restriction estimate
  • 10. Variational Fourier restriction |||| |||| |||| Can we do it “quantitatively”? Variational (semi)norms Theorem (K. and Oliveira e Silva, 2018) σ = surface measure on S2 ⊂ R3, χ ∈ S(R3) or χ = 1B(0,1), > 2 sup 0<t0<t1<···<tm m j=1 f ∗χtj −f ∗χtj−1 1/ L2 (S2,σ) ≤ C f L4/3 (R3) If f ∈ L4/3 (R3), then for σ-a.e. ξ ∈ S2: sup 0<t0<t1<···<tm m j=1 (f ∗ χtj )(ξ) − (f ∗ χtj−1 )(ξ) 1/ < ∞ =⇒ f ∗ χε (ξ) ε>0 makes O(δ− ) jumps of size ≥ δ
  • 11. Abstract principle |||| |||| |||| Theorem (K., 2018) S ⊆ Rd a measurable set, σ = a measure on S, µ = a complex measure on Rd , µt(E) := µ(t−1E), µ ∈ C∞ , η > 0 | µ(x)| ≤ D(1 + |x|)−1−η Suppose that for some 1 ≤ p ≤ 2, p < q < ∞ the a priori F. r. estimate holds. Then we have the maximal F. r. estimate: sup t∈(0,∞) f ∗ µt Lq (S,σ) ≤ C f Lp (Rd ) and for p < < ∞ we have the variational F. r. estimate: sup 0<t0<t1<···<tm m j=1 f ∗ µtj − f ∗ µtj−1 1/ Lq (S,σ) ≤ C f Lp (Rd )
  • 12. Consequences |||| |||| |||| Covers the full Tomas–Stein range for the sphere Sd−1 Covers any known range for the paraboloid or the cone One can take dµ(x) = χ(x) dx, χ ∈ S(Rd ) or χ = 1B(0,1) One can take µ to be the surface measure on Sd−1 in dimensions d ≥ 4 spherical averages of f : 1 µ(Sd−1) Sd−1 f (ξ + εζ) dµ(ζ)
  • 13. Subsequent research |||| |||| |||| Theorem (Ramos, 2019) µ = a measure on R2, p < 4 3, q ≤ p 3 Maximal F. r. for S1 holds as soon as Mµg := supt>0 |g ∗ µt| is bounded on Lr (R2) for r > 2. µ = a measure on R3, p ≤ 4 3, q ≤ 2 Maximal F. r. for S2 holds as soon as Mµg := supt>0 |g ∗ µt| is bounded on L2 (R3). ⇐= spherical averages in d = 2, 3 (Bourgain, 1986; Stein, 1976)
  • 14. The Christ–Kiselev trick |||| |||| |||| Idea of the proof of the maximal F. r.: Reduce to the supremum over t ∈ {t1 > t2 > · · · > tN} Linearize the supremum: f ∗ µt(ξ) (ξ) Lq ξ(S,σ) ≤ C f Lp (Rd ) Dualize: Λ(f , g) := S f ∗ µt(y) (y)g(y) dσ(y) = S Rd f (x)g(y)e−2πix·y ˇµ(t(y)x) dx dσ(y) Denote Sn := {y ∈ S : t(y) = tn} “Imagine” that ˇµ(tnx) = 1Fn (x) with F1 ⊆ F2 ⊆ · · · ⊆ FN En := Fn Fn−1 ∈ Rd =⇒ Fn = E1 ˙∪E2 ˙∪ · · · ˙∪En This is where we cheat a little
  • 15. The Christ–Kiselev trick |||| |||| |||| We obtain: Λ(f , g) = S Rd f (x)g(y)e−2πix·y m,n 1≤m≤n≤N 1Em (x)1Sn (y) dx dσ(y) This is a block-triangular truncation of K(x, y) = e−2πix·y We need: |Λ(f , g)| ≤ C f Lp (Rd ) g Lq (S,σ) with a constant independent of N It can be shown by induction(!) on N using only p < q (Tao, 2006)
  • 16. The actual proof |||| |||| |||| Rather begin by proving the variational estimate Represent µ as a superposition of “nice” Schwartz cutoffs Split into long and short variations (Jones, Seeger, and Wright, 2008) For long variations use a smooth version of the lemma by Christ and Kiselev, 2001 + variational upgrade by Oberlin, Seeger, Tao, Thiele, and Wright, 2010 Short variations are trivial(!) (an off-diagonal square function estimate)
  • 17. Thank you for your attention!