Distribution and interpolation spaces

MATH-502

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Distribution and Interpolation spaces MATH-502

 Teacher: Dr. Alexis Michelat
Assistant: Antonio Tirotta

Lectures

The lectures of the course will be held in person every Thursday morning from 10:15am to 12:00am in the room AAC 1 37.

Lecture notes will be updated every week and uploaded after the lecture at the following link.


Access plan to the lecture room. 


In SG, turn on the left, go straight ahead, then turn on the right, take the first and the left and go straight ahead.

Exercise Sessions
The exercise session will take place on Thursday afternoon between 13:15 and 15:00 (in the same room AAC 1 37).

The exercises relative to the class of the week will appear on the day of the class; they will be discussed during the exercise class of the following week (to give time to follow the class and revise the material); the solutions will appear on Friday evening every week.

The exercise session will have a ~30’ discussion, mainly of an exercise of the previous series or of the current one. This discussion may happen at the beginning or in the middle of the exercise session, depending on the topic to be discussed.
The rest of the time is devoted to Q&A. You can pose the questions directly or ask the assistant via chat. You can also enter a breakout room to discuss with a peer.

Each week, one (or, in some cases, 2) student can volunteer to present a problem if he wants to. We encourage every student to present at least one problem during the whole semester. 


Schedule

LECTURE ROOM

Lectures: Thursday, 10.15 – 12.00, AAC 1 37
Exercises: Thursday, 13.15 – 15.00, AAC 1 37

Course content   

After recalling classical results of topology and functional analysis (the three Banach theorems), we will define the notions of weak topology and weak * topology, and introduce the notions of reflexive and separable spaces.

Following this introductory section, we will introduce (locally convex) topological vector spaces that will be needed to define topologies on the space of distributions—linear forms on the space of smooth function with compact support. Indeed, the dual topology on distributions is not metrisable. We will afterwards introduce all basic notions related to distributions: product, division, boundedness, convergence, completeness, differentiation, localisation, support before moving to the last two main topics: convolution and Fourier transform. Distributions generalise functions, and can be used to give a meaning to partial differential equations (PDEs) that would classically make sense for smooth of regular enough functions, although the only physical information available is typically a weak control—or the kinetic energy for example (the gradient of the function is squared-integrable). Furthermore, the operation of differentiation of those generalised functions is continuous, which allows one to pass to the limit in PDEs under weak hypotheses.

The convolution of distributions will extend the familiar notion for $L^p$ functions, and permit one to give an alternative formulation of linear partial differential equations, and give a precise sense to the notion of fundamental solution. Finally, the Fourier transform, that can only be defined on a subspace of distributions—known as the Schwartz space, or space of tempered distributions—will be introduced, and links to PDEs emphasised. 

The next part of the course will be about Sobolev spaces—spaces of distributions whose derivatives belong to some $L^p$ spaces. Contrary to the space of distributions, Sobolev spaces are Banach spaces, and one can generally give a meaning to most PDEs within this framework where existence theorems are relatively easier, whilst regularity theory is more challenging. The main focus will be on Sobolev embedding theorems—if the gradient of a distribution is an $L^p$ function, then the distribution is itself a $L^q$ function, where the parameter $q$ depends on $p$ and the ambient dimension $d$—and Sobolev inequalities, and their generalisations.

In the penultimate section of the course, we will introduce interpolation, starting by Sobolev spaces of fractional exponents modelled on the Hilbert space $L^2$, before moving to more abstract notions.

In the last part of the lecture, we will give new applications to PDEs, and if time remains, introduce the notions of BMO, Lorentz and Orlicz spaces, that happen to be of crucial importance in a wide variety of applications, and permit to precise the Sobolev embedding theorems in the limiting cases.

Exam


The date of the exam will be communicated later this semester.


Your individual schedule will be communicated in December.


The exam is an oral exam divided into two parts.  First, the exam is given (the candidate will be able to choose one exercise amongst many) and the examinee has 30 minutes to prepare. After this delay, the oral exam starts and lasts for 30 minutes.


No documents are allowed.


Written Exam of 2022


Exam

Correction


Material and reference books


We covered the Hahn-Banach theorem and its proof and proved the Banach-Steinhaus principle. Next week, we will prove the two other main theorems of Banach and start introducing the notion of weak topology.


We finished the section on the three theorems of Banach and finished with Corollary 1.2.8 page 15. Next week, we will cover weak topology which will conclude the introductory chapter on Banach spaces. In two weeks, we will start distribution theory. 


We introduced weak topology and stated (but did not proof) Banach-Alaoglu-Bourbaki's theorem on the compactness of the unit ball for the weak * topology. We introduced the first definitions of distributions.


We proved the Banach-Alaoglu-Bourbaki theorem and introduced the inductive limit topology on the set of compactly supported functions to justify the definition of distributions. Next week, we will start to cover systematically all properties of distributions (product, convolution, and later, Fourier transform).


We covered the first basic properties of distributions, explained the notion of finite part of Hadamard in dimension 1 for the weight |x|^{-1} (see Proposition 2.7.10 p. 48 for more details), and finished the course with Proposition 2.5.27 on localisation. Next week, we will introduce the notion of support of a distribution, convolution, and if time allows, start covering the Fourier transform for distributions.

We introduced the notion of distribution with compact support and proved the main properties of convolution (we finished p. 39 before giving the example of the Green's function of the Laplacian). In two weeks (next week is the Semester's break), we will finish the section on convolution and introduce the notion of Fourier transform for distributions.  


27 October - 2 November

We finished convolution and introduced the basics of Fourier transform, recalling the basic properties of the Fourier transform (and a few proofs) and finished with Definition 2.7.8 page 45. 


3 November - 9 November

We finished the chapter on distribution theory (for some computations of Fourier transforms of explicit functions, we only gave the strategy without all details of the proof), omitting the appendix. We started Chapter 3 on Sobolev functions and stopped after Definition 3.1.1.


10 November - 16 November

We restarted Chapter 3 from scratch and gave an alternative definition of Sobolev spaces without using distribution theory (this is the definition that one can find at the beginning of chapters 8 & 9 of Brezis' treatise). We covered density of smooth functions, composition, change of variable, and extension operators. We proved the existence of a continuous linear extension operator (by reflection) from a half-space into the entire space and stated the general result (Theorem 3.3.3). Next week, we will give the proof of Theorem 3.3.3 and prove Sobolev's inequality, which is the most fundamental result of the chapter. It shows that a distribution whose derivative belongs to $L^p$ is either an $L^q$ function (for some $q$ depending on $p$ and the ambient dimension $d$), or a Hölder-continuous function (it belongs to $C^{0,\alpha}$ for some $0<\alpha<1$ that only depends on $p$ and $d$).


17 November - 23 November

We proved the extension theorem and the Sobolev embedding theorem in super-critical dimension at least 2. We finished before Lemma 3.4.3 page 35. Next week, we will finish the proof of the Sobolev inequality for all dimensions and exponents. If time allows, we will introduce the Sobolev space of function that "vanish on the boundary" (in an appropriate sense). 


24 November - 30 November

We finished the proof of the Sobolev inequality in all cases, explained how to apply the results of higher order Sobolev spaces, and stated the Rellich–Kondrachov compactness theorem page 69. Next week, we will introduce the space of Sobolev functions that vanish on the boundary, prove the structure theorem of the dual space, and if time allows, introduce fractional Sobolev spaces modelled on L².


1 December - 7 December


8 December - 14 December


15 December - 21 December