classification of poincar e inequalities and pi
play

Classification of Poincar e inequalities and PI-rectifiablity - PowerPoint PPT Presentation

Classification of Poincar e inequalities and PI-rectifiablity Classification of Poincar e inequalities and PI-rectifiablity Sylvester ErikssonBique Courant Institute New York University (Soon: NYU) Warick University GMT Workshop


  1. Classification of Poincar´ e inequalities and PI-rectifiablity Classification of Poincar´ e inequalities and PI-rectifiablity Sylvester Eriksson–Bique Courant Institute – New York University (Soon: NYU) Warick University GMT Workshop July 14th 2017

  2. Classification of Poincar´ e inequalities and PI-rectifiablity Standing assumption ( X , d , µ ) proper metric measure space, µ Radon measure. | f ( x ) − f ( y ) | Lip f ( x ) = lim sup d ( x , y ) x � = y → x

  3. Classification of Poincar´ e inequalities and PI-rectifiablity Poincar´ e inequality For every Lipschitz f : X → R � 1 � p Lip f p d µ | f − f B ( x , r ) | d µ ≤ Cr . (1) B ( x , r ) B ( x , C ′ r ) Definition ( X , d , µ ) is a ((1 , p )-)PI-space if µ is doubling and the space satisfies a ((1 , p ))-Poincar´ e inequality. Name Dropping: Heinonen,Koskela, Keith, Zhong, Shanmugalingam, Laakso, Maly, Korte, Dejarnette, J. Bj¨ orn, Kleiner, Cheeger, Schioppa

  4. Classification of Poincar´ e inequalities and PI-rectifiablity Quote From Heinonen (’05, published ’07, based on talk in ’03): “How does one recognize doubling p-Poincar´ e spaces? Do such spaces, apart from certain trivial or standard examples, occur naturally in mathematics? The answer to the second question is a resounding yes...The answer to the first question is more complicated. There exist techniques that can be employed here; some are similar to those which we used earlier to prove that a Poincare inequality holds in R n . On the other hand, most of the currently known techniques are quite ad hoc, and there is room for improvement.”

  5. Classification of Poincar´ e inequalities and PI-rectifiablity Main questions Which conditions characterize PI-spaces? How does the exponent p depend on the geometry of the space? Relationships to differentiability spaces?

  6. Classification of Poincar´ e inequalities and PI-rectifiablity Classical view on Poincar´ e In terms of Modulus of some family Γ, with respect to a measure ν , ˆ ρ p d µ, inf ρ B where ρ admissible, i.e. ´ γ ρ ≥ 1 for all γ ∈ Γ. Poincar´ e inequality related to lower bounds for modulus.

  7. Classification of Poincar´ e inequalities and PI-rectifiablity Prior characterization and downside Several and in different contexts: Heinonen-Koskela, Keith, Shanmugalingam-Jaramillo-Durand-Caragena, Bonk-Kleiner Downsides: Usually requires curve family to estimate relevant modulus, regularity or knowledge of p . Not ideal for studying abstract differentiability spaces, since only weaker conditions can be obtained directly.

  8. Classification of Poincar´ e inequalities and PI-rectifiablity Obligatory Slide Theorem (Rademacher’s theorem) Every Lipschitz f : R n → R is differentiable almost everywhere. Theorem (Cheeger ’99, Metric Rademacher’s Theorem) Every PI-space is a Lipschitz Differentiability space (LDS), i.e. every Lipschitz function is almost every where differentiable to some given charts.

  9. Classification of Poincar´ e inequalities and PI-rectifiablity Measurable differentiable structure for ( X , d , µ ) Measurable sets U i , Lip-functions φ i : X → R n i µ ( X \ � U i ) = 0 Every Lip function f : X → R N , for every i and almost every x ∈ U i has a unique derivative df i ( x ): R n i → R N s.t. f ( y ) − f ( x ) = df i ( x )( φ i ( y ) − φ i ( x )) + o ( d ( x , y )) . If such a structure exists, ( X , d , µ ) is a LDS. Introduced by Cheeger, axiomatized by Keith.

  10. Classification of Poincar´ e inequalities and PI-rectifiablity Again, from Heinonen: “An important open problem is to understand what exactly is needed for the conclusions in Cheegers work.”

  11. Classification of Poincar´ e inequalities and PI-rectifiablity More precise question Question Are the assumptions of Cheeger (PI and doubling) necessary? Does a differentiability space have a Poincar´ e inequality, in some form? May be totally disconnected! E.g. fat Cantor set Need to be careful about how to phrase a question

  12. Classification of Poincar´ e inequalities and PI-rectifiablity Even more precise question Question Are differentiability spaces PI-rectifiable, that is can every differentiability space be covered up to a null-set by positive measure isometric subsets of PI-spaces? Stated formally by Cheeger, Kleiner and Schioppa. Answer: NO Theorem (Schioppa 2016) A construction of ( X , d , µ ) which is LDS, but not PI-rectifiable.

  13. Classification of Poincar´ e inequalities and PI-rectifiablity RNP-Measurable differentiable structure for ( X , d , µ ) Measurable sets U i , Lip-functions φ i : X → R n i µ ( X \ � U i ) = 0 V is an arbitrary RNP-Banach space ( L p , l p , c 0 , NOT L 1 ) Every Lip function f : X → V , for every i and almost every x ∈ U i has a unique derivative df i ( x ): R n i → V s.t. f ( y ) − f ( x ) = df i ( x )( φ i ( y ) − φ i ( x )) + o ( d ( x , y )) . If such a structure exists, ( X , d , µ ) is a RNP-LDS (RNP-Lipschitz Differentiability Space) Used by Cheeger and Kleiner, defined/studied by Bate and Li

  14. Classification of Poincar´ e inequalities and PI-rectifiablity Cheeger-Kleiner Theorem (Cheeger-Kleiner) Every PI-space is a RNP-LDS.

  15. Classification of Poincar´ e inequalities and PI-rectifiablity Positive result Theorem (Bate, Li 2015) If ( X , d , µ ) is a RNP-LDS, then at almost every point “Alberti-representations connect points” (asymptotic connectivity). [Also: Asymptotic non-hoomogeneous Poincar´ e.] Theorem (E-B, 2016) A proper metric measure space ( X , d , µ ) equipped with a Radon measure µ is a RNP-Lipschitz differentiability space if and only if it is PI-rectifiable (and all σ -porous sets have zero measure). Corollary: Andrea Schioppa’s example is not RNP-Lipschitz differentiability. (Could be also obtained directly.)

  16. Classification of Poincar´ e inequalities and PI-rectifiablity Proof: Problems in proving rectifiability How to identify a decomposition to good pieces U i ? (Bate and Li already identified these, and used them to prove weaker PI-type results). Has doubling and connectivity properties “relative to X ”. Enlarge these U i to “connected” metric spaces U i by glueing a “tree-like” graph to it, which approximates a neighborhood in X . How to establish Poincar´ e inequalities for U i using differentiability? Which exponent p ? Characterizing PI using connectivity. Subsets a priori disconnected

  17. Classification of Poincar´ e inequalities and PI-rectifiablity Definition (E-B ’16, motivated by similar conitions in Bate-Li ’15) 1 < C , 0 < δ, ǫ < 1 given X is ( C , δ, ǫ )-connected If for every x , y ∈ X , d ( x , y ) = r , and every obstacle E ( x , y �∈ E ) with µ ( E ∩ B ( x , Cr )) < ǫµ ( B ( x , Cr )) , there exists a 1-Lip curve fragment γ : K → X almost avoiding E , i.e. 1 γ (max( K )) = y , γ (min( K )) = x 2 max( K ) − min( K ) ≤ Cr 3 γ ( K ) ∩ E = ∅ 4 | [min( K ) , max( K )] \ K | ≤ δ r

  18. Classification of Poincar´ e inequalities and PI-rectifiablity Improving the estimate ( C , δ, ǫ )-connected for some 0 < δ, ǫ < 1, implies ( C ′ , C ′′ τ α , τ )-connectivity for some 0 < α < 1 and all 0 < τ . Note, Li-Bate obtained ( C , C ′ g ( τ ) , τ )-asymptotic connectivity for some g going to zero, but no quantitative control: we use iteration to obtain the polynomial control for g . e holds for p > 1 Once α is identified, 1 / p -Poincar´ α . Crucial idea: Maximal function estimate, and re-applying the estimate to the gaps.

  19. Classification of Poincar´ e inequalities and PI-rectifiablity Main Theorem Theorem (E-B 2016) A ( D , r 0 ) -doubling ( X , d , µ ) is ( C , δ, ǫ ) -connected for some 0 < δ, ǫ < 1 iff it is (1 , q ) -PI for some q > 1 (possibly large). Connectivity can be established in many cases naturally, without knowing p !

  20. Classification of Poincar´ e inequalities and PI-rectifiablity Back to PI-rectifiability: Thickening

  21. Classification of Poincar´ e inequalities and PI-rectifiablity Theorem (E-B, 2016) A proper metric measure space ( X , d , µ ) equipped with a Radon measure µ is a RNP-Lipschitz differentiability space if and only if it is PI-rectifiable (and all σ -porous sets have zero measure).

  22. Classification of Poincar´ e inequalities and PI-rectifiablity Starting point If ( X , d , µ ) (intrinsically) ( C , δ, ǫ )-connected, then PI. Bate-Li provide subsets U i ⊂ X , which are “relatively” doubling and “relatively” (and locally) ( C , δ, ǫ )-connected. Need a way to find something to glue to U i to get ( C ′ , δ ′ , ǫ ′ )-connectivity of a larger space U i , from which the PI-rectifiability follows.

  23. Classification of Poincar´ e inequalities and PI-rectifiablity Thickening Lemma (E-B 2016) Main tool in proving rectifiability result. Let r 0 > 0 be arbitrary. ( X , d , µ ) proper metric measure, and K ⊂ X compact, X doubling (simplifying assumption), and Pairs ( x , y ) ∈ K are ( C , δ, ǫ )-connected in X

  24. Classification of Poincar´ e inequalities and PI-rectifiablity Then: There exists constants C , ǫ, D > 0 A complete metric space K which is D -doubling and “well”-connected An isometry ι : K → K which preserves the measure. The resulting metric measure space K is a PI-space.

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend