Sobolev inequalities Updated June 5, 2020 Plan 2 Outline: - - PowerPoint PPT Presentation

sobolev inequalities
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Sobolev inequalities Updated June 5, 2020 Plan 2 Outline: - - PowerPoint PPT Presentation

Sobolev inequalities Updated June 5, 2020 Plan 2 Outline: Gagliardo-Nierenberg-Sobolev inequality L 1 -Sobolev and L 2 -Sobolev inequalities Sobolev embedding theorems Compact embedding and Rellich-Kondrachovs theorem Boost in regularity


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SLIDE 1

Sobolev inequalities

Updated June 5, 2020

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SLIDE 2

Plan

2

Outline: Gagliardo-Nierenberg-Sobolev inequality L1-Sobolev and L2-Sobolev inequalities Sobolev embedding theorems Compact embedding and Rellich-Kondrachov’s theorem Boost in regularity via Moser iteration

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SLIDE 3

Gagliardo-Nirenberg-Sobolev inequality

3

Morrey’s inequality: regularity for f P W1,ppRdq with p ą d Q: What happens for p ă d? Theorem For all d ě 2 and all p P r1, dq there is cpd, pq P p0, 8q such that @f P C8

c pRdq:

}f}p‹ ď cpd, pq}∇f}p where p‹ is the Sobolev conjugate of p defined by p‹ :“ pd d ´ p Proved independently by E. Gagliardo and L. Nirenberg for p “ 1 and by S.L. Sobolev for 1 ă p ă d

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SLIDE 4

First some remarks

4

p‹ :“

pd d´p the only index for which this can hold. Indeed, take

ftpxq :“ fpx{tq. Then }ft}p‹ “ t

d p‹ }f}p‹ ^ }∇ft}p “ t d p´1}∇f}p

If }f}p‹ ď c}∇f}p is to hold for ft for all t ą 0, then we must have 1 p‹ “ 1 p ´ 1 d This forces p ď d. The case p “ d excluded in d ě 2 by fǫpxq :“ logpǫ ` |x|q gpxq with g P C8

c pRdq s.t. supppgq Ď Bp0, 1{2q and gp0q ‰ 0. Then

}∇fǫ}d ď cplogp1{ǫqq1{d yet }fǫ}8 ě |gp0q| logp1{ǫq so f ÞÑ }f}8{}∇f}d not bounded on C8

c pRdq.

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SLIDE 5

L1-Sobolev inequality sufficient

5

For d “ 1 the inequality holds by @f P C8

c pRq:

}f}8 ď }f 1}1 Proved by writing fpxq “ ş

p´8,xs f 1dλ (as supppfq compact).

The case p “ 1 fundamental for all d ě 1: Lemma Let d ě 2 and suppose there is cpdq P p0, 8q such that @f P C8

c pRdq:

}f}

d d´1 ď cpdq}∇f}1

Then Sobolev inequality holds for all p P r1, dq (and p‹ as in (1)) with cpd, pq :“ cpdqd ´ 1 d ´ pp

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SLIDE 6

Proof of Lemma

6

First extend L1-Sobolev inequality to f P C1

cpRdq.

Pick r ě 1 and, given f P C8

c pRdq, set ˜

f :“ f|f|r´1. Then ∇˜ f “ rf|f|r´2∇f (and so ˜ f P C1

cpRdq) which shows

}f}r

r

d d´1 “ }˜

f}

d d´1 ď c}∇˜

f}1 “ cr › ›f|f|r´2∇f › ›

1 “ cr

@ |f|r´1, |∇f| D H¨

  • lder’s inequality with indices ˜

p, ˜ q P r1, 8s gives @ |f|r´1, |∇f| D ď › ›|f|r´1› ›

˜ p}∇f}˜ q “ }f}r´1 ˜ ppr´1q}∇f}˜ q

Now set set r :“ d´1

d´pp and observe that this implies

˜ ppr ´ 1q “ r d d ´ 1 “ p‹ ^ ˜ q “ p Putting these together we get the claim.

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SLIDE 7

Proof of L1-Sobolev inequality

7

We thus focus on the proof of L1-Sobolev inequality. This will be derived from @f P C8

c pRdq:

}f}

d d´1 ď

d

ź

i“1

}Bif}1{d

1

from which we get L1-Sobolev via

d

ź

i“1

}Bif}1{d

1

ď 1 d › › ›

d

ÿ

i“1

|Bif| › › ›

1 ď

1 ? d › › › › ´ d ÿ

i“1

|Bif|2¯1{2› › › ›

1

“ 1 ? d }∇f}1 based on arithmetic-geometric/Cauchy-Schwarz inequalities. The above inequality holds for d “ 1 directly. We prove the

  • ther cases by induction. Assume it holds for dimension d ´ 1

and let us prove it for d . . .

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SLIDE 8

Proof of L1-Sobolev inequality continued ...

8

Write points of Rd as px, zq where x P R and z P Rd´1. Set θ :“ d´2

d´1. Then d d´1 “ θ d´1 d´2 ` p1 ´ θq and so by H¨

  • lder:

@x P Rd : ż ˇ ˇfpx, zq ˇ ˇ

d d´1 dz ď

´ż ˇ ˇfpx, zq ˇ ˇ

d´1 d´2 dz

¯ d´2

d´1 ´ż ˇ

ˇfpx, zq ˇ ˇdz ¯

1 d´1

Now @x P Rd : ż ˇ ˇfpx, zq ˇ ˇdz ď }B1f}1 Induction assumption and multivariate H¨

  • lder in turn yield

ż ´ż ˇ ˇfpx, zq ˇ ˇ

d´1 d´2 dz

¯ d´2

d´1 dx ď

ż

d

ź

i“2

› ›Bifpx, ¨q › ›

1 d´1

1

dx ď

d

ź

i“2

}Bif}

1 d´1

1

Putting together we get ż |f|

d d´1 dλ ď

d

ź

i“1

}Bif}

1 d´1

1

which readily gives the claim.

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SLIDE 9

Sobolev embedding

9

Corollary Let d ě 2. Then @p P r1, dq: W1,ppRdq Ď č

pďp1ď dp

d´p

Lp1pRdq. Proof: Sobolev inequality gives W1,ppRdq Ď Lp‹. By definition W1,ppRdq Ď Lp. Now apply interpolation of Lp norms.

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L2-Sobolev inequality

10

The case p “ 2 frequently used, but excluded in d “ 2. This is by including Lp-norm on r.h.s. as in: Theorem Let d ě 2. For each q P r2, 2d

d´2q (where 2d d´2 is interpreted as 8

when d “ 2) there is ˜ cpd, qq P p0, 8q such that @f P C8

c pRdq:

}f}q ď ˜ cpd, qq ` }f}2 ` }∇f}2 ˘ ˜ cpd, qq is bounded in d ě 3, the bound extends to q “

2d d´2.

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SLIDE 11

L2-Sobolev in d ě 3

11

Let q P r2, 2d

d´2q “ p‹ for p “ 2. As p‹ ą p, find θ P r0, 1s such that 1 q “ θ p‹ ` 1´θ 2 . Interpolation of Lp-norms:

}f}q ď }f}θ

p‹ }f}1´θ 2

ď cpd, 2q}∇f}θ

2 }f}1´θ 2

ď cpd, 2q ´ θ}∇f}2 ` p1 ´ θq}f}2 ¯ where arithmetic-geometric inequality used in the last step.

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SLIDE 12

L2-Sobolev in d ě 2

12

Need some Fourier transform facts: Lemma For each f P C8

c pRdq,

ż p1 ` 4π2|k|2q ˇ ˇp fpkq ˇ ˇ2dk “ }f}2

2 ` }∇f}2 2

Moreover, for all f P C8

c pRdq there is c P p0, 8q s.t.

@k P Rd : ˇ ˇp fpkq ˇ ˇ ď c p1 ` 4π2|k|2qd . In particular, p f P L1. Proof: Write x ∇fpkq “ ´2πikp fpkq and use that Fourier transform is an isometry in L2. For second part, take ˜ f :“ p1 ´ ∆qdf to get above with c :“ }p f}8 ď }p f}1.

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Proof of L2-Sobolev in d ě 2

13

Take q P p2, 2d

d´2q and let p P r1, 2q be the H¨

  • lder dual and let

f P C8

c pRdq. Then x ÞÑ fp´xq is thus the Fourier transform of p

f. Hausdorff-Young inequality gives }f}q ď }p f}p “ ´ż p1 ` 4π|k|2qp{2ˇ ˇp fpkq ˇ ˇp p1 ` 4π|k|2q´p{2dk ¯1{p ď ´ż p1 ` 4π2|k|2q ˇ ˇp fpkq ˇ ˇ2dk ¯1{2´ ż p1 ` 4π2|k|2q´

p 2´p dk

¯ 1

p´ 1 2 .

by H¨

  • lder’s inequality with parameters 2{p and

2 2´p. The

integral converges when

2p 2´p ą d which is equivalent

to q ă

2d d´2. The claim follows from above lemma.

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L2-Sobolev embedding

14

Corollary For all d ě 2, W1,2pRdq Ď č

2ďqă 2d

d´2

LqpRdq.

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Compact embedding

15

Theorem (Rellich-Kondrachov) Let d ě 2 and let O Ď Rd be bounded and open. Given p P r1, dq let q P r1, p‹q, where p‹ :“

dp d´p. Then every non-empty bounded set

C Ď W1,p

0 pOq is has a compact closure in Lq.

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Criterion of compactness in Lp

16

Lemma (Kolmogorov-Riesz compactness theorem) Let p P r1, 8q and let C Ď LppRdq be non-empty. Then C is totally bounded in LppRdq if and only if it is bounded, sup

fPC

}f}p ă 8 tight lim

rÑ8 sup fPC

}f1Bp0,rqc}p “ 0 and, denoting fhpxq :“ fpx ` hq for h P Rd, obeys lim

ǫÓ0 sup |h|ăǫ

sup

fPC

}fh ´ f}p “ 0. Note: Called Riesz-Tamarkin, Kolmogorov-Riesz, or Fr´ echet-Kolmogorov theorem A.N. Sudakov showed that boundedness redundant.

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Proof of Lemma

17

Suffices to show that C contains a finite δ-net for each δ ą 0. Let χǫ by our standard mollifier and set Cǫ :“

  • pf1Bp0,1{ǫqq ‹ χǫ : f P C

( . As }χǫ}1 “ 1, Minkowski’s integral inequality implies › ›pf1Bp0,1{ǫqq ‹ χǫ ´ f › ›

p ď

› ›pf1Bp0,1{ǫqq ´ f › ›

p ` sup |h|ăǫ

}fh ´ f}p So suffices to find a δ-net in Cǫ. But H¨

  • lder gives

› ›∇pf1Bp0,1{ǫq ‹ χǫq › ›

8 ď }f}p}∇χǫ}q

and so, since }pf1Bp0,1{ǫqq ‹ χǫ}8 ď }f1Bp0,1{ǫq}1 ď c}f}p, we get Cǫ is an equicontinuous family As suppppf1Bp0,1{ǫqq ‹ χǫq Ď Bp0, ǫ ` 1{ǫq, the claim follows from Arzel` a-Ascoli in sup-norm and then also Lp-norm by compact

  • support. For converse, see the notes.
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Proof of Rellich-Kondrachov’s Theorem

18

Let C Ď W1,2

0 pOq. Tightness trivial as O bounded. Sobolev

implies }f}q ď λpOq

1 q ´ 1 p‹ }f}p‹ ď cλpOq 1 q ´ 1 p‹ }∇f}p

so C bounded also in Lq. For the last condition find θ s.t. θ P r0, 1s by 1

q “ 1 ´ θ ` θ p‹ . Then

}fh ´ f}q ď }fh ´ f}1´θ

1

}fh ´ f}θ

p‹ ď p2cqθ }fh ´ f}1´θ 1

}∇f}θ

p.

As 1 ´ θ ą 0 because q ă p‹, it suffices to show lim

hÑ0 sup fPC

}fh ´ f}1 “ 0 Writing ˇ ˇfhpxq ´ fpxq ˇ ˇ ď |h| ż ˇ ˇ∇fpx ` thq ˇ ˇdt we get }fh ´ f}1 ď |h| diampOq}∇f}1 ď |h| diampOqλpOq1´ 1

p }∇f}p

Since supfPC }∇f}p ă 8, we are done.

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SLIDE 19

Boost in regularity via example

19

Let d ě 2, pick O Ď Rd bounded open and consider inf !

1 2}∇f}2 2 : f P C8 c pOq ^ }f}r “ 1

) We will take r ą 1 in what follows even though r “ 1 very interesting too. For r “ 2, this describes base frequency of a drum shaped as O.] Q: Is there a minimizing f (with f P Lr and ∇f P L2)? Q: And if so, how regular is it?

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Existence of minimizer

20

Lemma For r P p1, 8q, there exists f P W1,2

0 pOq with }f}r “ 1 such that

1 2}∇f}2

2 “ inf

!

1 2}∇h}2 2 : h P C8 c pOq ^ }h}r “ 1

) Moreover, there is β ě 0 such that f satisfies ∆f “ ´β f|f|r´2 where the Laplacian is taken in the sense of weak derivatives; i.e., @φ P C8

c pOq:

ż p´∆φqfdλ “ β ż φ f|f|r´2dλ.

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SLIDE 21

Proof of Lemma

21

Let tfnuně1 Ď C8

c pOq be minimizing sequence. Then

supně1 }∇fn}2 ă 8 so Sobolev inequality gives @q P “ 1, 2d

d´2

˘ : sup

ně1

}fn}q ă 8 This includes q “ 2 and so tfnuně1 is bounded in W1,2

0 pOq and

thus also in W1,p

0 pOq for all p P r1, 2q.

Rellich-Kondrachov theorem shows (for a subsequence if needed) that @q1 P “ 1, 2d

d´2

˘ : fn Ñ f in Lq1 (Limit same for all q1.) This includes q1 “ 2 and so fn Ñ f in L2. Integrate w.r.t. φ P C8

c pOq to get

ż φp∇fnqdλ “ ż p∇φqfndλ Ñ ż p∇φqfdλ As C8

c pOq is dense in L2 and t∇fnuně1 bounded in L2, f is

weakly differentiable and ∇fn Ñ ∇f weakly in L2. Now . . .

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SLIDE 22

Proof of Lemma continued ...

22

. . . lower semicontinuity of Lp norms under weak limits shows }∇f}2 ď lim inf

nÑ8 }∇fn}2.

So 1

2}∇f}2 2 ď inft. . . u. Can have “ă” because f can be

approximated by C8

c pOq-functions. So f is a minimizer.

To show that f solves PDE, take ˜ f :“ pf ` tφq{}f ` tφ}1 for φ P C8

c pOq to get

}∇f ` t∇φ}2

2 ě }∇f}2 2 ` }∇f}2 2

` }f ` tφ}2

r ´ }f}2 r

˘ Now expand in lowest order in t to get ż p∇fq ¨ p∇φqdλ “ 2r}∇f}2

2

ż f|f|r´2φ dλ Finally, set β :“ 2r}∇f}2

2.

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SLIDE 23

Remarks

23

β is closely related to the value of the infimum for r “ 2 we get an eigenvalue problem for the Laplacian

  • perator on W1,2

0 pOq,

´∆f “ βf May have multiple solutions, even with same β. r “ 1 excluded because formal derivative of f ÞÑ |f| does not capture everything; instead we get ´∆f “ β sgnpfq ` β1δfp0q Needs theory of distributions

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SLIDE 24

Boost in regularity via Moser iteration

24

Lemma Let r P p1, 2d

d´2q and β ě 0. Then there is cpd, r, β, Oq P p0, 8q such

that any f P W1,2

0 pOq that solves

´∆f “ βf|f|r´2 weakly obeys }f}8 ď cpd, r, β, Oq}f}2 In particular, f P L8.

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SLIDE 25

Proof of Moser’s iterative estimate

25

Pick q P p2, 2d

d´2q with q ą r and let f P W1,2pOq solves the PDE.

Assume f P L2s for some s ě 1. Then fs :“ f|f|s´1 obeys fs P L2. By approximation via smooth functions, ∇fs “ ∇p f|f|s´1q “ s|f|s´1∇f so L2-Sobolev gives }f}s

qs “ }f|f|s´1}q ď ˜

c ´ }f}s

2s `

› ›∇pf|f|s´1q › ›

2

¯ Now › ›∇pf|f|s´1q › ›2

2 “ s2

ż |f|2s´2|∇f|2dλ and integration by parts shows ż |f|2s´2|∇f|2dλ “ ´p2s ´ 2q ż |f|2s´2|∇f|2dλ ´ ż |f|2s´1∆fdλ Use PDE ∆f “ ´βf|f|r´2 to wrap this into . . .

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SLIDE 26

Proof of Moser’s iterative estimate continued ...

26

› ›∇pf|f|s´1q › ›2

2 “

βs2 2s ´ 1}f}2s`r´2

2s`r´2

Summarizing: }f}s

qs ď ˜

c ˆ }f}s

2s `

´ βs2 2s ´ 1 ¯1{2 }f}s`pr´2q{2

2s`r´2

˙ . Assuming r ď 2 for simplicity, H¨

  • lder gives

}f}s`pr´2q{2

2s`r´2

ď λpOq

s 2s`r´2 ´ s 2s }f}s

2s

From here we get the basic iterative estimate @s ě 1: f P L2s ñ }f}qs ď ´ ˜ c ` 1 ` ˜ c1?s ˘¯1{s }f}2s, where ˜ c1 :“ a β λpOq1{2.

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SLIDE 27

Proof of Moser’s iterative estimate continued ...

27

We now iterate: Set sn :“ pq{2qn. Then f P L2s0 by assumption and so so f P L2sn for each n ě 0 with }f}2sn ď ˆ n´1 ź

k“0

´ ˜ c ` 1 ` ˜ c1?sk ˘¯1{sk˙ }f}2. The product converges as n Ñ 8 so }f}8 “ lim

nÑ8 }f}2sn ď

ˆ 8 ź

k“0

´ ˜ c ` 1 ` ˜ c1?sk ˘¯1{sk˙ }f}2 The argument for r ě 2 similar; just observe qs ą 2s ` r ´ 2 as implied by q ą r.

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Remarks

28

Key ingredients for Moser iteration: a higher norm of f related to a lower norm of f and ∇f a PDE that converts the norm of ∇f to a (lower) norm of f. Applies to elliptic PDEs (eigenvalue problems, etc), parabolic PDEs (heat equation etc) including non-linear ones.

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SLIDE 29

What’s next?

29

To appreciate above derivation, note that any solution f P W1,2pOq of the Poisson equation ´∆f “ g

  • n O

admits integral representation f “ ż

O

Kpx, yqgpyqdy, where K is the Green function in O. Smooth away from diagonal tpx, xq: x P Ou with power law singularity Kpx, yq „

yÑx

c |x ´ y|d´2 when d ě 3 and logarithmic singularity in d “ 2. Key point: convergence requires g P Ld{2`ǫ for some ǫ ą 0!

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SLIDE 30

Back to our variational problem

30

For us g :“ βf|f|r´2 and, by Moser iteration, g P L8 (for r P r2, 2d

d´2q).

Continuity+integrability of K ñ f is continuous. Since y ÞÑ ∇yKpx, yq remains integrable, we even get ∇f P C1,α for all α P p0, 1q. Further iteration possible: ∇yKpx, yq “ ∇xKpx, yq ` Op1q with normal derivative of Kpx, ¨q vanishing on BO. So for r “ 2, integrating by parts shows that from ∇f P CpOq we get ∇2f P CpOq etc. This ultimately gives f P C8pOq.

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SLIDE 31

19th Hilbert problem

31

The above set of ideas was developed in the solution of 19th Hilbert problem that asked: Are all the minimizers of Φpfq :“ ż

O

ϕp∇fqdλ with ϕ strictly convex and smooth, necessarily smooth? Solved by E. De Giorgi in 1957, similar ideas used also by

  • J. Nash for parabolic equations. J. Moser in 1960 came up with

“Moser iteration” technique used above.

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SLIDE 32

Other important inequalities

32

The Sobolev inequality comes along with three other types of inequalities Poincar´ e inequality Nash inequality Log-Sobolev inequality which we will now discuss or at least review.

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SLIDE 33

L1-Poincar´ e inequality

33

Lemma (L1-Poincar´ e inequality) For each d ě 2, @f P C8

c pRdq:

}f}1 ď cpdqλpsupppfqq1{d}∇f}1, where cpdq is the constant from L1-Sobolev inequality. Proof: H¨

  • lder’s inequality with parameters d and

d d´1 shows

}f}1 “ ż 1supppfq|f|dλ ď λpsupppfqq1{d}f}

d d´1 .

Now apply L1-Sobolev inequality.

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SLIDE 34

Lp-Poincar´ e inequality

34

Just as for Sobolev, applying this to power function and taking extensions we get: Proposition For all d ě 2 and let O Ď Rd be non-empty and open with λpOq ă 8. Then for all p P r1, 8q, @f P W1,p

0 pOq:

}f}p ď p cpdqλpOq1{d}∇f}p where cpdq is the constant from L1-Sobolev inequality. Note: Fails for f P W1,ppOq in general! E.g., f :“ 1O has ∇f “ 0!

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SLIDE 35

Proof of Proposition

35

Let f P C8

c pOq, set g :“ f|f|p´1 and note that ∇g “ pf|f|p´2∇f.

Then }∇g}1 “ p ż |f|p´1|∇f|dλ ď p}f}p´1

p

}∇f}p by H¨

  • lder’s inequality. Applying the L1-Poincar´

e inequality along with supppfq Ď O, }f}p

p “ }g}1 ď cpdqλpOq1{d}f}p´1 p

}∇f}p Now cancel }f}p´1

p

and apply density of C8

c pOq in W1,p 0 pOq.

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SLIDE 36

Marriage of Poincar´ e, Morrey and Sobolev

36

Corollary Let d ě 2 and let O Ď Rd be non-empty open with λpOq ă 8. For p P r1, 8q denote p‹‹ :“

dp d´p if p ă d and p‹‹ :“ 8 if p ě d. Then

for each q P p0, p‹‹q there is cpd, p, q, Oq P p0, 8q such that @f P W1,p

0 pOq:

}f}q ď cpd, p, q, Oq}∇f}p. Proof: For p ą d this is by Morrey’s inequality. For p ă d and q P rp, p‹q, we interpolate q-norm into p-norm and p‹-norm and then apply Sobolev to p‹ norm and Poincar´ e to p-norm. The case p “ d handled by a perturbation argument.

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SLIDE 37

Poincar´ e-Wirtinger inequality

37

Extension to W1,ppOq possible assuming O has a nice boundary. The key underlying observation is: Lemma Let d ě 2 and let O Ď Rd be non-empty, open with λpOq ă 8. Then for all p P r1, 8q and all f P C8

c pOq,

ˆż

O

ˇ ˇ ˇ f ´ 1 λpOq ż

O

fdλ ˇ ˇ ˇ

p

dλ ˙1{p ď 2p cpdqλpOq1{d}∇f}p. Proof: Denote ¯ f :“ 1O

1 λpOq

ş

O fdλ. Then LHS bounded by

}f}p ` }¯ f}p ď 2}f}p where second ď comes from Jensen’s inequality. Now apply Lp-Poincar´ e.

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SLIDE 38

Nash inequality

38

Lemma (Nash inequality) For each d ě 2 there is c P p0, 8q such that @f P W1,2pRdq X L1pRdq: }f}1`2{d

2

ď c}∇f}2}f}2{d

1

Key in analyzing the heat flow which preserves the L1-norm!

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SLIDE 39

Log-Sobolev inequality

39

Problem with Sobolev:

dp d´p Ñ p as d Ñ 8, so no estimate

uniform in d ě 2 possible. For analysis in infinite dimensions, we instead use: Lemma (Log-Sobolev inequality) For all d ě 1 there is c P p0, 8q such that @f P W1,1pRdq: ż |f| log ´ |f| }f}1 ¯ ď c}∇f}1 Proved by A.J. Stam for Gaussian measures (1959).

  • P. Federbush (1969) extended this to Rd based on

hypercontractivity estimates of Nelson. Full power realized by

  • L. Gross.
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SLIDE 40

What do I owe you?

40

Classical treatment of Fourier analysis Analysis and functional analysis on CpXq — Arzel` a-Ascoli, Stone-Weierstrass and Riesz-Markov representation theorem Theory of distributions Abstract functional analysis. Well, some other time ...

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