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Proof of Theorem 3.2.4: Necessity part

3.3 Proof of Theorems 3.2.2 and 3.2.4

3.3.4 Proof of Theorem 3.2.4: Necessity part

Finally, we upgrade Proposition 3.3.11 to the strong type estimate. Observe that it is sufficient to show the desired estimate for all (1q,1p) belonging to intOGA. Indeed, once this is established, we may employ complex interpolation once again with the estimates in Theorem 3.1.1 on the line segment [B, A) to obtain desired estimates for all (1q,1p) belonging to intOAB.

As we shall soon see, the advantage of first considering the regionOGAis that

α(p, q)≤p≤q (3.3.36)

whenever (1q,1p) belongs to OGA. Indeed, one easily sees that α(p, q) ≤ pis equivalent to

1

p(d−1)qd which means below the line [O, A] (andp≤qobviously holds inOGAsinceGlies on the diagonal 1q =1p).

Since we wish to use real interpolation, we fixs ∈(0,d2) and take any two points (q1

i,p1

i) from intOGAsuch that p2

i +qd

i =d−2sfor i= 0,1. From Proposition 3.3.11 we know that Os(pi, qi; (α(pi, qi),1)):

X

j

λj|eit∆D−sfj|2 Lpi

t Lqix

.kλk`α(pi,qi),1

holds fori= 0,1. This means that if we fix an orthonormal system (fj)j in the common space H˙s, then real interpolation, (3.3.4) and (3.3.5) yield

X

j

λj|eit∆fj|2 Lp

tLq,px

.kλk`α(p,q),p (3.3.37)

with 1p = 1−θp

0 + pθ

1, 1q = 1−θq

0 + qθ

1 and any θ ∈ (0,1); that is, (3.3.37) holds for all (1q,1p) belonging to intOGA. Thanks to (3.3.36), we may deduce from the nesting of Lorentz spaces

that

X

j

λj|eit∆fj|2 Lp

tLqx

.kλk`α(p,q)

and therefore desired estimates holds for all (1q,p1) belonging to intOGAwith 2s= 2p+dq, as claimed.

equals 1 onB(0,13). Remark that|v| ∼1. For eachv definefv by fbvv(ξ) :=Rd2χ(R(ξ−v)).

A simple computation shows that

|eit∆fv(x)|&Rd2χTv(x, t), (3.3.39) with the implicit constant independent ofv, R, where

Tv={(x, t) :|x+tv| ≤cR, |t| ≤cR2}

andcis a sufficiently small number. In fact, by change of variables we write

|eit∆fv(x)|=Rd2 Z

Rd

eiR−1ξ·(x+2tv)eit|R−1ξ|2χ(ξ)dξ .

Sincet|R−1ξ|2= O(c) if|t| ≤cR2, we see that|eit∆fv(x)| ∼R−d if|x+tv| ≤cR, |t| ≤cR2. Hence, (3.3.39) follows.

Then, since thefv’s have disjoint the Fourier support andkfvkH˙s∼1 3, (3.3.38) implies R−d

X

v

χTv

Lp

t(−cR2,cR2);Lqx(B(0,cR)). X

v

1α1

∼Rαd.

Note that allTv contain (−˜cR, cR)×B(0,˜cR) with a small enough ˜c. Hence, the above gives R1p+dq .Rdα. LettingR→ ∞gives

1 p+d

q ≤ d α. This gives the boundα≤α(p, q).

Let us show that α≤pis also necessary. Take any nonnegative (λj)j ∈ `a and φ∈ S so that supp( ˆφ)⊂B(0,1) and kφkL2 = 1. Further, we choose{vj}j ⊂Rd so thatB(vj,100)∩ B(vi,100) =∅for anyi6=j. Then we define

fj(x) :=e−i2j[φ·ei·vj](x).

We first check the orthonormality of the system{fj}j. Ifj6=k, then by Plancherel’s Theorem Z

Rd

fj(x)fk(x)dx= Z

Rd

e−i2j|ξ|2φ(ξˆ −vj)e−i2k|ξ|2φ(ξˆ −vk)dξ= 0

since the support of the function ˆφ(·−vj) is contained inB(vj,1) andB(vj,100)∩B(vk,100) =∅ as long asj6=k. Meanwhile, we clearly havekfjkL2 =kφkL2 = 1. So,{fj}j is an orthonormal system, and hence we may apply (3.3.38) to obtain that

X

j

λj|eit∆fj| Lp

tLqx

.k(λj)jk`a. (3.3.40) Let us now evaluate the left-hand side of (3.3.40) from below. We claim here that

|eit∆fj(x)|=|ei(t−2j)∆φ(x+ 2(t−2j)vj)|. (3.3.41)

3Since|v| ∼1, we havekfvkH˙s∼ kfvkL2= 1.

For the time being, we admit (3.3.41). We chooseδ=δφ>0 depending only onφso that for any|t−s| ≤δ,

kei(t−s)∆φ−φkL2q x ≤ 1

2kφkL2q. (3.3.42)

This is true since we knoweih∆φ→φinL2qx ash→0. Then we obtain from (3.3.41) that 4

X

j

λj|eit∆fj|2 Lp

tLqx

 X

j

Z 2j 2j

"

Z

Rd

X

k

λk|eit∆fk(x)|2

!q dx

#

p q

dt

1 p

 X

j

Z 2j 2j

Z

Rd

λj|eit∆fj(x)|2q dx

pq dt

1 p

=

 X

j

λpj Z 2j

2j

Z

Rd

|ei(t−2j)∆φ(x+ 2(t−2j)vj)|2qdx pq

dt

1 p

=

 X

j

λpj Z 2j

2j

kei(t−2j)∆φk2p

L2qx dt

1 p

where we changed the variable: x+ 2(t−2j)vj 7→y in the last equality. Now, we notice from (3.3.42) that

kei(t−2j)∆φkL2q

x =kei(t−2j)∆φ−φ+φkL2q x

≥ kφkL2q− kei(t−2j)∆φ−φkL2q x

≥ kφkL2q−1

2kφkL2q = 1 2kφkL2q

as long as|t−2j|< δ. So, we arrive at

X

j

λj|eit∆fj|2 Lp

tLqx

 X

j

λpj Z 2j

2j

1 2kφkL2q

2p

dt

1 p

=Cφk(λj)jk`p,

where the constantCφ:= 2−1kφkL2q

2

δ1p is depending only onφ∈ S, that is,Cφ is a global constant. Hence, it follows from (3.3.40) that

k(λj)jk`p .k(λj)jk`a

which meansa≤p. So, our task to finish the proof is to ensure (3.3.41). To this end, we first show the following formula:

|eis∆[φ·ei·vj](x)|=|eis∆φ(x+ 2svj)| (3.3.43) for generals∈R. Based on the definitions, we calculate

|eis∆[φ·ei·vj](x)|= F−1h

eis|·|2Fφ(· −vj)i (x)

= F−1h

eis|·−vj|2e2isvj(·−vj)eis|vj|2Fφ(· −vj)i (x)

= F−1hn

eis|·−vj|2Fφ(· −vj)o

e2isvj(·−vj)i (x)

.

4In below, we use the disjointness of {(2j,2j+δ)}j. Of course, this may not be true for small j, but considering sufficiently largejJδ, it can be ensured.

We notice5

eis|ξ−vj|2Fφ(ξ−vj) =F[eis∆φ](ξ−vj).

So, by changing variables: ξ−vj=η,

|eis∆[φ·ei·vj](x)|= Z

Rd

F[eis∆φ](ξ−vj)e2isvj·(ξ−vj)eix·ξ

= Z

Rd

F[eis∆φ](η)e2isvj·ηeix·ηeix·vj

= Z

Rd

F[eis∆φ](η)ei(x+2svj)·η

=

eis∆φ(x+ 2svj) which means (3.3.43). Using this formula, we obtain (3.3.41):

|eit∆fj(x)|=|ei(t−2j)∆[φ·ei·vj](x)|=|ei(t−2j)∆φ(x+ 2(t−2j)vj)|

and it completes the proof.

Semi-classical limiting argument

In order to prove the negative results on [O, A], we show that certain induced estimates for the velocity average of the kinetic transport equation fail on [O, A]. This requires us to first make the following observation based on a semi-classical limiting argument.

Proposition 3.3.13. Let p, q ∈ [1,∞], r,er, β ∈ [1,∞) and s ∈ [0,d2) be such that 2s = d−(p2+dq). Ifα=α(p, q)and

X

j

λj|eit∆fj|2 Lp,r

t Lq,exr

.kλk`α,β (3.3.44)

holds for all orthonormal systems(fj)j inH˙s(Rd)and all sequencesλ= (λj)j in`α,β(C), then

Z

Rd

f(x−tv, v) dv

|v|2s Lp,r

t Lq,exr

.kfkLα,β (3.3.45)

wheneverf ∈Lα,β.

Before giving a proof of Proposition 3.3.13, we would like to make some remarks. The functionF(x, v, t) =f(x−tv, v) satisfies the kinetic transport equation

(∂t+v· ∇x)F(x, v, t) = 0, F(x, v,0) =f(x, v) for (x, v, t)∈Rd×Rd×R, and

ρf(x, t) = Z

Rd

f(x−tv, v) dv (3.3.46)

is the velocity average of the solution. Estimates of the form (3.3.45) are typically referred to as the Strichartz estimates for the kinetic transport equation; the classical case iss = 0 and

5Indeed, recall the definition:

F[eis∆φ](η) =eis|η|2Fφ(η).

r=α(p, q), in which case it is known that (3.3.45) holds if and only if (1q,1p) belongs to [B, A).

The positive results were obtained in [22] and [64], and the failure at the endpointAwas shown in [3] for alld≥1. The argument establishing failure at the endpointAprofitably used duality and it was shown that

Z

R

g(x+tv, t) dt

Ld+1.kgk

Ld+1t L

d+1 x2

(3.3.47) fails by multiplying out the norm on the left-hand side and ultimately testing on smooth and rapidly decaying g whose Fourier transform is non-zero at the origin. A simplification was given in [6] by showing the left-hand side of (3.3.47) is infinite on the centred gaussian g(x, t) = e−π(t2+|x|2), and such an explicit argument did not rely on the fortuitous fact that Lebesgue exponent coincides with an integer.

We also note that the failure of (3.3.45) at A when s = 0 and r = α(p, q) was shown whend= 1 prior to [3] by Guo–Peng [48] and Ovcharov [82]. The argument of Ovcharov used characteristic functions of Besicovitch (or Kakeya) sets; these are sets containing a unit line segment in all possible directions and a famous argument of Besicovitch generates such sets with arbitrarily small measure; this argument is particularly relevant to the present discussion and will be used to disprove Conjecture 3.2.3 whend= 1.

The connection between the solutions of the free Schr¨odinger equation and the kinetic transport equation is well documented and proceeds by a semi-classical limiting argument.

Thus, we are not viewing Proposition 3.3.13 as particularly novel and we present its statement and proof below for completeness and since we were not able to find elsewhere in the literature the statement in the form that we need. Sabin presented the special caser=αin Lemma 9 of [85] and we use a similar argument to extend his observations to the setting of Lorentz spaces.

Proof of Proposition 3.3.13. First we note that (3.3.44) implies kργ(t)(x)kLp,r

t Lq,exr .kγ0kCα,β(L2), (3.3.48) whereγ(t) =|D|−seit∆γ0e−it∆|D|−s. Next, we fix anyf in the Schwartz classS(Rd×Rd) and test (3.3.48) on the semi-classical Weyl quantisation γ00(f;h) of f, whose kernel is given by

γ0(x, x0) = Z

Rd

f(x+x2 0, v)ei(x−x

0)·v

h dv.

The parameterhwill later be sent to zero. The Fourier transform ofγ0onRd×Rdis given by γb0(v, v0) = (2πh)dFxf(·,h2(v−v0))(v+v0), (3.3.49) whereFxdenotes the Fourier transform in the xvariable.

A direct computation, making use of (3.3.49), reveals that if eγ(t) =h−2sγ(ht),

then ρ

eγ(t)(x) = h−2s (2π)2d

Z

R2d

e−ith2|v−v0|2eith2|v0|2|v−v0|−s|v0|−sγb0(v−v0, v0) dv0eix·vdv

=hd−2s (2π)d

Z

R2d

e−ith2(v·(v−2v0))|v−v0|−s|v0|−sFxf(·,h2(v−2v0))(v) dv0eix·vdv

and therefore, by a change of variables, ρeγ(t)(x) = 1

(2π)d Z

R2d

e−itv·v00|v00+h2v|−s|v00h2v|−sFxf(·, v00)(v) dv00eix·vdv.

It follows that kρ

eγ(t)(x)kLp,r t Lq,exr

Z

Rd

f(x−tv00, v00)|v00|−2sdv00 Lp,r

t Lq,exr

ash→0, or equivalently, h−(p1+2s)γ(t)(x)kLp,r

t Lq,exr → Z

Rd

f(x−tv00, v00)|v00|−2sdv00 Lp,r

t Lq,exr

(3.3.50) ash→0.

For the right-hand side, we observe that kγ0kCα,β .hd−αd X

0≤|n|+|m|≤2d+2

h|n|+|m|2 k∂xnvmfkLα,β

x,v (3.3.51)

forα, β ∈ [1,∞), which follows, for example, by using Propositions 2.1 and 2.2 in [1] for the endpoint casesα=β = 1 andα=β=∞, along with real interpolation in the classical Sobolev spaces (see [34]).

From (3.3.48), (3.3.50) and (3.3.51), and using the assumption thatα=α(p, q) along with the scaling condition 2s=d−(2p +dq), we obtain (3.3.45) in the limith→0.

By putting together Theorem 3.2.4 and Proposition 3.3.13 we immediately obtain the fol-lowing weighted estimates for the solution of the kinetic transport equation.

Theorem 3.3.14. Let d≥1. Suppose that(1p,1q)belongs tointOAB∪[B, A). Ifα=α(p, q) and2s=d−(2p+dq), then

Z

Rd

f(x−tv, v) dv

|v|2s Lp

tLqx

.kfkLα

for allf ∈Lα.

The endpoint failure

Recall that when the cases= 0, there is an endpoint Aand (3.1.4) withα= q+12q fails at the point, see Theorem 3.1.1. This is a cause of trouble for the orthonormal Strichartz estimates on beyond region (A, C). Corresponding to this, there is a critical line (O, A) whereα(p, q) =p.

As before, if the orthonormal Srichartz estimate (3.1.4) holds withα=α(p, q) at the critical line (1q,1p) ∈ (O, A), then one would find a sharp estimate on whole region of intOAB and intOACD. However, we observed that this is not the case.

Proposition 3.3.15. Let d, p, q≥1 be(1q,1p)∈(O, A]and2s=d−(2p+dq). Assume for any λ= (λj)j ⊂Cand any orthonormal system (fj)j in H˙s,

X

j

λj|eit∆fj|2 Lp

tLqx

.kλk`α. (3.3.52)

Thenα < p.

Before the proof, we remark that it is easy to see the failure of (3.3.52) for the case (p, q) = (∞,∞), which yieldss= d2, α(∞,∞) =∞. In fact, such a case is prohibited even when the one function case;keit∆fkLt Lx .kfk˙

Hd2. We can easily disprove this estimate. Indeed, if we assume (3.3.52) holds for (p, q) = (∞,∞), then we have

kfkLx ≤lim inf

t→0 keit∆fkLx .kfk˙

Hd2

which implies the embedding ˙Hd2 ⊂L. But this is clearly a contradiction. 6 So, we hereafter consider the case s < d2. Once we restrict the case to s < d2, then Proposition 3.3.15 is a consequence of the combination of Proposition 3.3.13 and the following lemma. The strategy is the combination of the duality argument and putting the Gaussian which is motivated by [3, 6].

Lemma 3.3.16. Let d, p, q≥1 be (1q,1p)∈(O, A]and2s=d−(p2+dq). Then

Z

Rd

f(x−tv, v)|v|−2sdv Lp

tLqx

.kfkLpx,v (3.3.53) fails.

Proof. It follows from the scaling that 2s=d−(2p+dq). Clearly (3.3.53) fails ifs≥ d2. So, we fix any s∈ [0,d2). To show Lemma 3.3.16, it is enough to show the failure of (3.3.53) under

1

p =d−1d 1q. In other words, from 2s=d−(2p+dq) we show the failure of (3.3.53) for (p, q) such that 1p = d+1d (1−2sd) and 1q = d−1d+1(1−2sd). Hereafter, we fix suchp, q andα=α(p, q) =p.

For that purpose, we further dualize (3.3.53):

Z

R

g(t, x+tv)dt|v|−2s Lα0

x,v

.kgkLp0

t Lqx0, g∈Lpt0Lqx0,

where α10 = p10 = 2s+1d+1 and q10 = d+11 (2 +d−1d 2s).Now we putg(t, x) =e−(t2+|x|2), the gaussian input. It follows from the direct computation that

Z

R

g(t, x+tv)dt∼ 1

(1 +|v|2)12e−|x|

2+(x·v)2

1+|v|2.

From this calculation and polar coordinate we see

Z

R

g(t, x+tv)dt|v|−2s

α0

Lαx,v0

∼ Z

0

Z 0

1 (t2+r2)0

1 (1 +t2+r2)α0 −d2

rd−2 (1 +r2)d2drdt

&

Z 1

Z 1

1

(t2+r2)12dtr−2dr=∞ sincesα0+α02−d =12. This gives the failure of (3.3.53) when 1p = d−1d 1q.

6On the other hand, we have the embedding ˙Hd2 BMO. From this point of view, it seem natural to expect keit∆fkL

t BMOx.kfk

H˙d2.

Failure of Frank-Lewin-Lieb-Seiringer conjecture ond= 1

Recall that on Conjecture 3.2.3, the exponents are p =α = d+1d and q = d+1d−1 which satisfy

1

p+dq = αd. So, thanks to Proposition 3.3.13, to show the failure of Conjecture 3.2.3, we have only to show the failure of the corresponding Strichartz inequality for the velocity average:

Z

Rd

f(x−tv, v)dv Ld+1d

t L

d+1 d−1 x

≤Ckfk

L

d+1 d ,1 x,v

, f ∈L

d+1 d ,1 x,v .

We notice thatd−1d+1 =∞ifd= 1. From this speciality, we may prove the following proposition.

Theorem 3.3.17. Let d= 1. Then the weak type Strichartz estimate for the velocity average:

Z

R

f(x−tv, v)dv L2

tLx

≤CkfkL2,1

x,v, f ∈L2,1x,v (3.3.54) fails.

Proof. Assume (3.3.54) is true and let us get a contradiction. For the sake of simplicity, we write

ρf(x, t) = Z

R

f(x−tv, v)dv

in this proof. Let us denote the Kakeya set on R2 by E which means |E|R2 = 0 and for any direction θ ∈ S1, there exists a line segment`θ ⊂E whose length is one such that θ and `θ

are parallel. Take any smallδ > 0 and fatE to Eδ. Applyingf =χEδ to the inequality we supposed, it follows that

kρχEδkL2

tLx ≤CkχEδkL2,1

x,v =|Eδ|12. (3.3.55) For the right-hand side, we claim the estimate

sup

x∈R

ρχEδ(x, t)≥ 1

(t2+ 1)12 (t∈R) (3.3.56) which implies

kρχEδkL2

tLx =

sup

x∈R

ρχEδ(x, t) L2

t

≥√ π=

Z

R

dt t2+ 1

12 .

So, once we have (3.3.56), then we obtain from (3.3.55) a contradiction:

√π≤C|Eδ|12 →0 (δ→0).

To establish (3.3.56), we fix anyt∈Rand choose`t⊂Eδ so that `tand (−t,1)t are parallel.

Further, we choosext∈Rso that xt is an intersection point between the line extension of`t and thex-axis. Then it follows that

sup

x∈R

ρχEδ(x, t)≥ρχEδ(xt, t)≥ Z v2

v1

χEδ(xt−vt, v)dv=v2−v1,

where we chosev1, v2 ∈Rso that the line segment combining points (xt−v1t, v1)tand (xt− v2t, v2)t corresponds to the line segment `t which implies v2−v1 = (t2+ 1)12. This yields (3.3.56).

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