Vector Analysis on Fractals
|
|
- Garey Richard
- 6 years ago
- Views:
Transcription
1 Vector Analysis on Fractals Daniel J. Kelleher Department of Mathematics Purdue University University Illinois Chicago Summer School Stochastic Analysis and Geometry Labor Day Weekend
2 Introduction: Dirichlet Forms We have the classical Dirichlet energy, on R n D(f) = f dx f H 1 (R n ) by H 1 (R n ), can be either seen as the closure of C0 (Rn ) with respect to the norm f 2 H 1 = f 2 + f 2 dx. Or you can think of H 1 (R n ) as the set of functions f L 2 (R) such that f L 2 (R),
3 Introduction: Dirichlet Forms Dirichlet s method: which was an early technique in the calculus of variationa. This was to solve Laplace equation { f = 0 in Ω f Ω = g for some prescribed boundary condition g : Ω R. And realizing that the solutions is the function u which minimizes D(f) such that f Ω = g.
4 Introduction: Dirichlet Forms A Dirichlet form E is a generalization of D, and has the following definition... Say (X, d) is a locally compact metric space, with Borel regular measure µ. We define (E, Dom E ), where Dom E L 2 (X) on L 2 (X, µ) if (DF1) E : Dom E Dom E R is a nonnegative definite bilinear form on a dense subspace F L 2 (X, µ). (DF2) (E, Dom E ) is closed i.e. (Dom E, E 1 ) is a Hilbert space, where E 1 (f, g) = E(f, g) + f, g L2. (DF3) Markov property u Dom E implies that ũ = max {min {u, 0}, 1} Dom E and E(ũ) E(u). (DF4) C := C c (X) Dom E is uniformly dense in compactly supported continuous functions C c (X) and dense in Dom E with respect to the Hilbert space norm E 1 (f) 1/2.
5 Introduction: Dirichlet Forms Dirichlet Forms Laplacians Infinitesimal Generator Markov Processes Hille Yosida Resolvents Semigroups transistion probabilities
6 Dirichlet Forms and the Hille Yosida Theorem there is a unique self adjoint operator A, with Dom A, such that E(f, g) = f, Ag µ = fag dµ. There is also a semi-group P t = e t such that u(x, t) = P t f, is the solution to the heat equation Au(x, t) = u (x, t) t u(x, 0) = f(x). Thus we can get A back from P t, by f P t f Af(x) = lim. t 0 t
7 Dirichlet Forms and Markov Processes Markov process, X t on the space, which has L as its infinitesimal generator, and that E x f(x t ) = P t f(x). In the classical case, X t is Brownian motion.
8 Graph Energy Say G = (V, E) is a graph, and we say that x y if x is connected to y, then if we have edge weights c x,y we define the graph energy on G with domain l(v ) = {f : V R}, by E(f) = x y c x,y (f(x) f(y)) 2.
9 Introduction: Self-Similar fractals Classical iterated function systems: for a subset of R n F i are contraction maps for i X K is the unique compact subset of R n with K = i X F i (K)
10 Harmonic Structures The idea is to find a self-similar Dirichlet form, that is there are {r i } i X such that E(f) = i X r 1 i E(f F i ).
11 Harmonic Structures Post-Critically Finite fractals are self-similar structures with the boundary between cells (and the inverse images under the F i ) is finite. In this case, Kigami proved that it was sufficient to prove the existence of compatible energies on approximating graphs.
12 Sierpinski Gasket The Sierpinsk gasket SG: approximating graphs G k with vertex sets V 0 V 1 V 2 SG. We have compatible graph energies E k on G n, E j (f) = inf { E k (g) g Vj = f }. Because of the symmetry of the Sierpinski gasket E j is the graph energy on V j scaled by 5 j.
13 Sierpinski Gasket Then there is a self-similar form E(f) = lim E j (f Vj ) Where Dom E = {f : SG R E(f) < }.
14 Resistance forms For any set X, a pair (E, F) is called a resistance form on X if (RF1) E : F F R is a nonnegative definite symmetric bilinear form on a vector space F of real valued functions on X, and E(u) = 0 if and only if u is constant on X, (RF2) (F/, E) is a Hilbert space; here is the equivalence relation on F given by u v if u v is constant on X, (RF3) Markov property, E(ũ) E(u), (RF4) Resistance metric d R (x, y) := sup { u(x) u(y) 2 : u F, E(u) 1 } (RF5) F separates the points of X.
15 Resistance forms 1. All finite energy functions are (Hölder) continuous with respect to the resistance metric because d R (x, y) u(x) u(y) 2 E(u) 2. for any finite set V X, then the discrete energy exists. tr V E(f) = inf {E(g) g F, g V = f}
16 Resistance forms Typically, one considers resistance forms the way we considered the Sierpinski gasket Step 1 Find a nested sequence of sets of points V k which become dense in your set X, Step 2 Find an energies E k that are compatible in that tr Vj E k = E j. Step 3 Prove that the resistance metric is consistent with whatever preexisting structure you had.
17 Harmonic Structures Computation of Resistance Scaling of the Pillowcase and Fractalina Fractals Michael J. Ignatowich, Catherine E. Maloney, David J. Miller, Khrystyna Nechyporenko. We proved the existence of harmonic structures to Pillow and fractalina fractals.
18 Resistance forms on Sierpinski Gasket We still don t have a Dirichlet form, because we don t have a measure. The first natural choice is the self-similar measure, which assigns each of the three sub-copies of the Sierpinski gasket weight 1/3. Also nice because the Laplacian is just the scaled limit of the graph Laplacians associated V k.
19 What s not in the Domain of the Laplacian So what is the problem? No nice functions are in the domain of the Sierpinski gasket. We will get into the root cause of this in a little bit.
20 Gaps in the spectrum of 3N-gaskets Preprint with Nikhaar Gupta, Maxwell Margenot, Jason Marsh, Alexander Teplyaev. Letting be such that E(f, g) = f, g Laplacians of compatible energies are related by the Schur Compliment. This can be used to compute the spectrum of the Laplacian.
21 Spectrum of the Laplacian of 3N-gaskets T R(z) = N( z) ztn( z)(2t N (1 2z)+2U N 1 (1 2z)+1) U N 1( z) (z 1) zu N 1( z)(2t N (1 2z)+2U N 1 (1 2z)+1) if N is even if N is odd. (1) Where T k and U k are Chebyshev polynomials of the 1st and 2nd kind respectively.
22 Spectrum of the Laplacian of 3N-gaskets If = lim n c n n, then the spectrum { σ( ) = lim c n+1 R n (z) z σ( n ) } n
23 Gaps in the spectrum Bob Strichartz and Co. showed that if there are asymptotic gaps in the spectrum of the Laplacian, then the Fourier coefficients of functions converge uniformly. Gaps in the spectrum is related to having a totally disconnected (real) Julia set of R.
24 Heat Kernel Estimates The heat kernel p(t, x, y) : R + K K R of the operator with respect to µ is the integral kernel such that, if f L 2 (K) and u : R + K R is defined P t f(x) = p(t, x, y)f(y) dµ(y)
25 Heat Kernel Estimates Using the theory from Kigami s 2012 memoir. (or using Barlow s 1996 book) The Laplacian on K has a symmetric heat kernel p(t, x, y) : R + K K R which satisfies the following estimates ( p(t, x, y) c 1 t d H/d w exp c 2 (d (x, y) dw /t) 1/(dw 1)) (2) and ( p(t, x, y) c 3 t d H/d w exp c 4 (d (x, y) dw /t) 1/(dw 1)). Here d H = log(3n)/ log(n + 1) is the Hausdorff dimension with respect to d, d w = α + d H = (log(2n + 3) + log(n))/ log(n + 1) where α = log ρ/ log(n + 1), ρ = c/(3n) = 1 + 2N/3, and c 1,c 2,c 3,c 4 are positive real constants.
26 Heat Kernel Estimates ( p(t, x, y) c 1 t d H/d w exp c 2 (d (x, y) dw /t) 1/(dw 1)) (3) and ( p(t, x, y) c 3 t d H/d w exp c 4 (d (x, y) dw /t) 1/(dw 1)). In the classical case, we have Guassian d H is the dimension of the space, and d w = 2. These are called sub-gaussian, because d w < 2.
27 Further work: Localized Eigenfunctions Teplyaev, proved that the Sierpinski gasket has an eigenbasis of eigenfunctions which are supported on individual subcells of the Sierpinski Gasket. It follows from our work (not explicitly) that there are such localized eigenfunctions on the other 3N-gaskets.
28 Energy Measures and the Harmonic Gasket Jun Kigami,Measurable Riemannian Geometry on the Sierpinski Gasket Naotaka Kajino, Analysis of the measurable Riemannian structure on the Sierpinski gasket
29 Energy Measures What we want, is something to take the place of f 2, or it s polarization f g. There are some fairly prominent ways of doing thins 1. Bakry-Emery Upper gradients
30 Local energy forms A Dirichlet form (E, Dom E ) is strongly local if, for u, v Dom E such that u is constant on the support of v, then E(u, v) = 0.
31 Beurlung Deny decomposition For a regular Dirichlet form, there is a strongly local Dirichlet form (E c, Dom E ), and measure κ on X and J on X X \ {(x, x)} such that E(u, v) = E c (u, v) + (u(x) u(y))(v(x) v(y)) J(dx, dy) + X X\ X u(x)v(x) κ(dx) J(dx, dy) is the jump measure and κ is the killing measure. The names of these measures correspond to parts of the Markov process.
32 Energy Measures we see that for f C = C b (X) Dom E φ E(fφ, f) 1 2 E(φ, f 2 ) is a bounded linear function on C 0 (X), and thus there is a measure, Γ(f) such that φdγ(f) = E(fφ, f) 1 2 E(φ, f 2 )
33 Energy Measures The nice part is, if E is strongly local, then Γ behaves like a bilinear differential, if F : R n R, then and f(x) = (f 1 (x),..., f n (x)) then Γ(F f, h) = F x i Γ(f i, h).
34 Carré du Champ Notice that for f Dom A with f 2 Dom A, then φdγ(f) = φ( faf Af 2 ) dµ. And thus dγ(f)/dµ = faf Af 2 is the Carré du champ of Barkry Emery.
35 But of course this is too much to ask for of the Sierpinski gasket. However, we can weaken things and ask simply that Γ(f) µ for a good family of f at least. If this is the case, we say that the Dirichlet form admits a Carré du champ and shall say that µ is energy dominant. In fact things on the Sierpinski gasket are worse, if we take the self-similar measure... in fact all of the measures Γ(f) are singular with respect to the self similar measure µ.
36 Harmonic Sierpinski Gasket We introduce the Harmonic embedding of the Sierpinski gasket: if we take h 1 and h 2 to be the harmonic functions which have values (0, 1, 1/2) and (0, 0, 3/2) on V 0 respectively, then we have a map Φ : SG R 2 by Φ(x) = (h 1 (x), h 2 (x)) The we define the Kusuoka measure ν = Γ(h 1 ) + Γ(h 2 ).
37 Harmonic Sierpinski Gasket The we define the Kusuoka measure ν = Γ(h 1 ) + Γ(h 2 ). The collection of functions Φ f such that f C 1 (R 2 ) are dense in the Dom E. Further there is a matrix-valued function Z x, such that E(Φ f) = f(x), Z x f(x) dν(x).
38 Differential forms on fractals Idea: to deal with these problems by developing a differential geometry for Dirichlet spaces and hence fractals based on Differential forms on the Sierpinski gasket and other papers by Cipriani Sauvageot Derivations and Dirichlet forms on fractals by Ionescu Rogers Teplyaev, JFA 2012 Vector analysis on Dirichlet Spaces by Hinz Röckner Teplyaev, SPA 2013
39 Differential forms on Dirichlet spaces Let X be a locally compact second countable Hausdorff space and m be a Radon measure on X with full support. Let (E, F) be a regular symmetric Dirichlet form on L 2 (X, m) and write again C := C 0 (X) F. The space C is a normed space with f C := E 1 (f) 1/2 + sup f(x). x X
40 Differential forms on Dirichlet spaces We equip the space C C with a bilinear form, determined by a b, c d H = bd dγ(a, c). This bilinear form is nonnegative definite, hence it defines a seminorm on C C. X H: the Hilbert space obtained by factoring out zero seminorm elements and completing.
41 Differential forms on Dirichlet spaces In the classical setting, this norm b 2 a 2 dµ Where µ is Lebesgue measure in the appropriate dimension. And, any simple tensor a b = d i=1 xi b a x i. Think of x i 1 as dx i,
42 Differential forms on Dirichlet spaces We call H the space of differential 1-forms associated with (E, F). The space H can be made into a C-C-bimodule by setting a(b c) := (ab) c a (bc) and (b c)d := b (cd) and extending linearly. C acts on both sides by uniformly bounded operators.
43 Differential on Dirichlet spaces we can introduce a derivation operator by defining : C H by a := a 1. a 2 2E(a) and the Leibniz rule holds, (ab) = a b + b a, a, b C.
44 Co-Differential on Dirichlet spaces The operator extends to a closed unbounded linear operator from L 2 (X, m) into H with domain F. Let denote its adjoint, such that ω, g H = ω, g L2 (X,m) (4) Let C be the dual space of the normed space C. Then defines a bounded linear operator from H into C.
45 PDE on fractals We can think of as something like a gradient or an exterior derivative. And think of as div or as the co-differential. This allows for a lot of new differential equations to but represented on fractals For instance, we now have a divergence form a( u) = 0
46 Magnetic Schrödinger operators Classically i u t = ( i A)2 u + V u becomes i u t = ( i a) ( i a)u + V u Where a C and V L (X, m).
47 Dirac operators on Dirichlet spaces Define the Hilbert space H := L 2 (X, m) H with the natural scalar product (f, ω), (g, η) H := f, g L2 (X,m) + ω, η H.
48 Dirac operator: Classical case The Dirac operator d + d On the space of all differential forms (with functions as 0-forms). (d + d ) 2 = dd + d d is the Laplacian extended to differential forms.
49 Dirac operator: Classical case The Hodge decomposition: Every differential n-form ω = dα + d β + γ where α is an n 1-form, β is an n + 1-form, and γ is a Harmonic n-form, i.e. (dd + d d)γ = 0.
50 Dirac operators on Dirichlet spaces Put dom D := F dom and define an unbounded linear operator D : H H by D(f, ω) := ( ω, f), (f, ω) dom D. To D we refer as the Dirac operator associated with (E, F). In matrix notation its definition reads ( ) 0 D =. 0 Lemma The operator (D, dom D) is self-adjoint on H.
51 Square of the Dirac operator The square of D is given by ( D 2 = 0 0 ). (L, dom L): the infinitesimal L 2 (X, m)-generator of (E, F). Then L =. Set dom 1 := {ω dom : ω F} and 1 ω :=, ω dom 1. Lemma The operator (D 2, dom L dom 1 ) is self-adjoint on H.
52 If our fractal is topologically 1-dimensional, then D 2 is the Hodge Laplacian. (see Tep+Hinz)
53 Intrinsic metrics on fractals Metrics and Spectral Triples for Dirichlet and Resistance Spaces Journal of Noncommutative Geometry and Measures and Dirichlet forms under the Gelfand transform Journal of Mathematical Science, 2012, Volume 408
54 Dirichlet Algebra and Energy Measures Dirichlet algebra C := C c (X) F is an R-algebra of bounded functions, since E(fg) 1/2 f L (X,µ) E(g)1/2 + g L (X,µ) E(f)1/2, f, g C, Energy Measures f C we may define a nonnegative Radon measure Γ(f) on X by ϕ dγ(f) = E(ϕf, f) 1 2 E(ϕ, f 2 ), ϕ C.
55 Now let m be an energy dominant measure for (E, F). For simplicity we use Γ(f) also to denote the density dγ(f)/dm. Set A := {f F loc C(X) Γ(f) L (X, m)}. (5) The intrinsic metric or Carnot-Caratheodory metric induced by (E, F) and m is defined by d Γ,m (x, y) := sup {f(x) f(y) : f A with Γ(f) 1} (6)
56 Let C 0 (X) denote the space of continuous functions on X that vanish at infinity and consider the space A 0 := {f F loc C 0 (X) Γ(f) L (X, m)}. (7) Set A 1 0 := {f A 0 : Γ(f) 1}. Theorem Let (E, F) be a strongly local Dirichlet form on L 2 (X, µ), let m be an energy dominant measure for (E, F) and assume there exists a point separating coordinate sequence for (E, F) with respect to m. Then A 1 0 is compact in C 0(X) if and only if d Γ,m induces the original topology.
57 If the reference measure µ itself is energy dominant, by Stollmann/Sturm: If d and d Γ,µ induce the same topology, then (X, d Γ,µ ) is a length space. However, a look at the proofs and their background reveals that this conclusion remains valid for any energy dominant measure m, provided a point separating coordinate sequence exists. Corollary Let (E, F) be a strongly local Dirichlet form on L 2 (X, µ), let m be an energy dominant measure for (E, F), and assume there exists a point separating coordinate sequence for (E, F) with respect to m. If A 1 0 is compact in C 0(X), then the metric space (X, d Γ,m ) is a length space.
58 Compare with Classical Cases On a Reimannian Manifold, (M m, g), Intrinsic Metric L(γ) = b a g( γ, γ) dt d(x, y) = inf {L(γ) γ(a) = x, γ(b) = y} Same as inf {f(x) f(y) g( f, f) 1}
59 Theorem Suppose (E, F) is a local resistance form on X such that (X, d R ) is compact, let m be an energy dominant measure for (E, F), and assume there exists a coordinate sequence for (E, F) with respect to m. Then the topologies induced by d R and d Γ,m coincide, and (X, d Γ,m ) is a length space. Further, the space (X, d Γ,m ) is compact and therefore complete and geodesic.
60 Harmonic Sierpinski Gasket As an example, any two points between in Φ(V n ), for any n, can be connected by a piecewise C 1 curve in Φ(SG), which minimizes such length. The length metric ρ is the same as d Γν.
61 Harmonic Sierpinski Gasket With respect to ρ and ν, the heat kernel on SG actually has Gaussian bounds. c L exp( ρ(x, y) 2 /c L t) V t (x) p ν (t, x, y) c u (1 + ρ(x, y) 2 /t) κ/2 (exp( ρ(x, y) 2 /4t) V t (x)1/2 V t (y)1/2
62 Problems with curvature Bakry-Emery CDE s: These curvature dimension inequalities related Γ(f) to Γ 2 (f) := 2AΓ(f) Γ(f, Af). While, we may know that Γ(f) is a function we don t necessarily know where it lies. Optimal Transport: Kajino showed that the Harmonic SG cannot satisfied the curvature dimension bounds from optimal transport.
63 Spectral Triples Definition A (possibly kernel degenerate) spectral triple for an involutive algebra A is a triple (A, H, D) where H is a Hilbert space and (D, dom D) a self-adjoint operator on H such that (i) there is a faithful -representation π : A L(H), (ii) there is a dense -subalgebra A 0 of A such that for all a A 0 the commutator [D, π(a)] is well defined as a bounded linear operator on H, (iii) the operator (1 + D) 1 is compact on (ker D).
64 Spectral Triples A 0 := {f C : Γ(f) L (X, µ)} (8) A := clos C0 (X)(A 0 ) (9) π(a)(f, ω) := (af, aω), for a A (10) Theorem Let (E, F) be a regular symmetric Dirichlet form on L 2 (X, µ) and assume µ is energy dominant for (E, F). Then (i) There is a faithful representation π : A L(H), (ii) For any a A 0 the commutator [D, π(a)] is a bounded linear operator on H, (iii) If the L 2 (X, µ)-generator L of (E, F) has discrete spectrum then (1 + D) 1 is compact on (ker D), and (A, H, D) is a spectral triple for A.
65 Connes distance d D (x, y) := sup {a(x) a(y) a A 0 is such that [D, a] 1} defines a metric in the wide sense on X, (a version of) the Connes distance. Theorem Let (E, F) be a strongly local Dirichlet form on L 2 (X, µ), let m be energy dominant for (E, F) and assume there exists a point separating coordinate sequence for (E, F) with respect to m. Let D, A 0 and A be as above. Then d D (x, y) := sup {a(x) a(y) a A 0 is such that [D, a] 1} is a metric in the wide sense on X and d D d Γ,µ. If X is compact then d D = d Γ,µ.
66 Gelfand transform We can use the theory of Banach algebras and the Gelfand transform to to consider Dirichlet forms on measurable spaces where the topology is not defined in advanced. That is if we start off with a measure space (X, X, µ), and a non-negative bilinear form E with suitable domain, then we use the relationship between the Gelfand transform and Daniell-Stone integration theory to extend E to a closable form on a space which has X embedded.
67 Non-p.c.f. structures Less is known about analysis on fractals which aren t p.c.f. 1. The main results are for the Sierpinski carpet 2. There is a unique harmonic structure, but it is harder to get at. 3. Barlow Bass started proof of existence in 89, and uniqueness wasn t shown until 2010.
68 Barycentric subdivisions and the hexacarpet Random walks on barycentric subdivisions and Strichartz hexacarpet Experimental Mathematics. 21(4) 2012, Joint work with Matt Begue, Aaron Nelson, Hugo Panzo also Antoni Brzoska, Diwakar Raisingh, and Gabe Khan
69 Barycentric subdivision We start off with a simplicial complex, Take each 1-simplex (line segment) and add a vertex at the midpoint. Take each 2-simplex (triangle) add a vertex at the barycenter (average of corners), ad an edge connecting the barycenter to each vertex adjacent to the original 2-simplex.... proceed inductively.
70 Start off with a simplex
71 Add midpoints to simplexes
72 Add edges to simpleces
73 ng B 2 (T 0 ) (left) and the graph isomorphism to G 2
74 This is what the 4th level approximation looks like.
75 To get a fractal out of this, we looks at the symbolic dynamic system Let X = {0, 1,..., 5} where x is any element in X and v {0, 5} ω. Suppose i is odd and j = i + 1 mod 6. Then, xi3v xj3v and xi4v xj4v. (11) If i is even (j is still i + 1 mod 6), then xi1v xj1v and xi2v xj2v. (12) This produces a fractal with Cantor boundaries and hexagonal symmetries. We call it the hexacarpet.
76 (a) (ϕ 2, ϕ 3) (b) (ϕ 2, ϕ 4) (c) (ϕ 2, ϕ 5) (d) (ϕ 2, ϕ 6) (e) (ϕ 3, ϕ 4) (f) (ϕ 3, ϕ 5) (g) (ϕ 3, ϕ 6) (h) (ϕ 4, ϕ 5) (i) (ϕ 4, ϕ 6)
77 (a) (ϕ 2, ϕ 3, ϕ 4) (b) (ϕ 2, ϕ 3, ϕ 5) (c) (ϕ 2, ϕ 3, ϕ 6) (d) (ϕ 2, ϕ 3, ϕ 7) (e) (ϕ 2, ϕ 4, ϕ 5) (f) (ϕ 2, ϕ 4, ϕ 6) (g) (ϕ 2, ϕ 5, ϕ 6) (h) (ϕ 3, ϕ 5, ϕ 6) (i) (ϕ 4, ϕ 5, ϕ 6)
78 Level n c Table : Hexacarpet estimates for resistance coefficient c given by 1 λ n j. 6 λ n+1 j
79 Eigenvalue counting function The function N(x) = # {λ < x λ σ( )} for the 7th level approximating graph.
80 Higher dimensions
81 Higher dimensions We can perform a construction analogous to the hexacarpet on the 3-simplex. This time, our approximating graphs have tetrahedra as verteces, connected if they share a face Figure : First and second level graph approximations to the 3-simplectic sponge.
82 Eigenfunction Pictures - Level 4
83 Numerics Original Shape Triangle Tetrahedron Subdivisions (N) 6 24 Hausdorff dimension log(6) log(2) 2.58 log(24) log(2) Resistance scaling (ρ) Spectral dimension
84 Conjectures For each of the barycentric fractals 1. there exists a unique self-similar local regular conservative Dirichlet form E with resistance scaling factor ρ and the Laplacian scaling factor τ = 6ρ. 2. the simple random walks on the repeated barycentric subdivisions of a triangle, with the time renormalized by τ n, converge to the diffusion process, which is the continuous symmetric strong Markov process corresponding to the Dirichlet form E. 3. the spectral zeta function has a meromorphic continuation to C.
85 Conjectures For each of the barycentric fractals 1. there exists a unique self-similar local regular conservative Dirichlet form E with resistance scaling factor ρ and the Laplacian scaling factor τ = 6ρ. 2. the simple random walks on the repeated barycentric subdivisions of a triangle, with the time renormalized by τ n, converge to the diffusion process, which is the continuous symmetric strong Markov process corresponding to the Dirichlet form E. 3. the spectral zeta function has a meromorphic continuation to C.
86 Conjectures For each of the barycentric fractals 1. there exists a unique self-similar local regular conservative Dirichlet form E with resistance scaling factor ρ and the Laplacian scaling factor τ = 6ρ. 2. the simple random walks on the repeated barycentric subdivisions of a triangle, with the time renormalized by τ n, converge to the diffusion process, which is the continuous symmetric strong Markov process corresponding to the Dirichlet form E. 3. the spectral zeta function has a meromorphic continuation to C.
87 Heat kernel estimates Barlow and Bass used a probabilistic interpretation, comparing transition density of a random walk to the diffusion of heat, to prove, in some cases, that the heat kernel can be approximated for time 0 < t 1 p(t, x, y) t ds/2 exp ( c R(x, y) dw dw 1 t 1 dw 1 Where R is the effective resistance metric, and d h = Hausdorff dimension d s = Spectral dimension d w = 2d h d s = Walk dimension 2 ) There may be some logarithmic corrections?
88 If we look at the graph approximation, the inner circle of the graph has length 3 2 n at the nth level. The perimeter of this graph will have 3n2 n length. How do we resize the graph?
89 Another fractal What if we consider the triangle, and then perform barycentric subdivision. This time, we keep the simplicial complex, but renormalize each triangle to be equilateral. In the case of the first subdivision, we get a hexagon.
90
91 If we renormalize so that each line segment has length 2 n on the nth level, the induced geodesic metric converges to a metric on the triangle. 1. Topologically we still have the same Euclidean triangle! 2. The Hausdorff (and self-similarity) dimension of this object is log 2 (6) The distance from a vertex of an nth level simplex to the any point on the opposite side is 2 n. 4. There are infinitely many geodesics between points. The same construction can be done when starting with any n-simplex.
92 Non-p.c.f. structures Barlow and Bass proved the existence of a diffusion process on the Sierpinski Carpet. This Required two main ingredients 1. Resistance estimates (Barlow Bass 1990) 2. Harnack inequalities (Barlow Bass 1989,1999)
93 Resistance estimates The Barlow Bass resistance estimates use a weak form of duality between two graph approximations of the Carpet. The equivalent of these graphs in our case are the Hexacarpet and barycentric subdivision. If ρ is the resistance scaling factor for the Hexacarpet and ρ T is the resistance scaling of barycentric subdivisions, then ρ = 1/ρ T.
94 Research in progress Theorem There are limits 1 log ρ = lim n n log R n and log ρ T 1 = lim n n log RT n that satify estimates 5 4 ρ 3 2 and 2 3 ρt 4 5
95 Uniform Harnack Inequalities & Resistance estimates
96 Thank you!!!
From self-similar groups to intrinsic metrics on fractals
From self-similar groups to intrinsic metrics on fractals *D. J. Kelleher 1 1 Department of Mathematics University of Connecticut Cornell Analysis Seminar Fall 2013 Post-Critically finite fractals In the
More informationEnergy on fractals and related questions: about the use of differential 1-forms on the Sierpinski Gasket and other fractals
Energy on fractals and related questions: about the use of differential 1-forms on the Sierpinski Gasket and other fractals Part 2 A.Teplyaev University of Connecticut Rome, April May 2015 Main works to
More information5th Cornell Conference on Analysis, Probability, and Mathematical Physics on Fractals June 11-15, 2014
5th Cornell Conference on Analysis, Probability, and Mathematical Physics on Fractals June 11-15, 2014 Speakers include: Eric Akkermans (Technion), Christoph Bandt (Greifswald), Jean Bellissard (GaTech),
More informationFunction spaces and stochastic processes on fractals I. Takashi Kumagai. (RIMS, Kyoto University, Japan)
Function spaces and stochastic processes on fractals I Takashi Kumagai (RIMS, Kyoto University, Japan) http://www.kurims.kyoto-u.ac.jp/~kumagai/ International workshop on Fractal Analysis September 11-17,
More informationSpectral Triples on the Sierpinski Gasket
Spectral Triples on the Sierpinski Gasket Fabio Cipriani Dipartimento di Matematica Politecnico di Milano - Italy ( Joint works with D. Guido, T. Isola, J.-L. Sauvageot ) AMS Meeting "Analysis, Probability
More informationDensely defined non-closable curl on topologically one-dimensional Dirichlet metric measure spaces
Densely defined non-closable curl on topologically one-dimensional Dirichlet metric measure spaces Kansai Probability Seminar, Kyoto March 11, 2016 Universität Bielefeld joint with Alexander Teplyaev (University
More informationLAPLACIANS COMPACT METRIC SPACES. Sponsoring. Jean BELLISSARD a. Collaboration:
LAPLACIANS on Sponsoring COMPACT METRIC SPACES Jean BELLISSARD a Georgia Institute of Technology, Atlanta School of Mathematics & School of Physics Collaboration: I. PALMER (Georgia Tech, Atlanta) a e-mail:
More informationON THE REGULARITY OF SAMPLE PATHS OF SUB-ELLIPTIC DIFFUSIONS ON MANIFOLDS
Bendikov, A. and Saloff-Coste, L. Osaka J. Math. 4 (5), 677 7 ON THE REGULARITY OF SAMPLE PATHS OF SUB-ELLIPTIC DIFFUSIONS ON MANIFOLDS ALEXANDER BENDIKOV and LAURENT SALOFF-COSTE (Received March 4, 4)
More informationBOUNDARY VALUE PROBLEMS ON A HALF SIERPINSKI GASKET
BOUNDARY VALUE PROBLEMS ON A HALF SIERPINSKI GASKET WEILIN LI AND ROBERT S. STRICHARTZ Abstract. We study boundary value problems for the Laplacian on a domain Ω consisting of the left half of the Sierpinski
More informationThe spectral decimation of the Laplacian on the Sierpinski gasket
The spectral decimation of the Laplacian on the Sierpinski gasket Nishu Lal University of California, Riverside Fullerton College February 22, 2011 1 Construction of the Laplacian on the Sierpinski gasket
More informationLine integrals of 1-forms on the Sierpinski gasket
Line integrals of 1-forms on the Sierpinski gasket Università di Roma Tor Vergata - in collaboration with F. Cipriani, D. Guido, J-L. Sauvageot Cambridge, 27th July 2010 Line integrals of Outline The Sierpinski
More informationDISTRIBUTION THEORY ON P.C.F. FRACTALS
DISTRIBUTION THEORY ON P.C.F. FRACTALS LUKE G. ROGERS AND ROBERT S. STRICHARTZ Abstract. We construct a theory of distributions in the setting of analysis on post-critically finite self-similar fractals,
More informationAn Introduction to Self Similar Structures
An Introduction to Self Similar Structures Christopher Hayes University of Connecticut April 6th, 2018 Christopher Hayes (University of Connecticut) An Introduction to Self Similar Structures April 6th,
More informationRIEMANNIAN GEOMETRY COMPACT METRIC SPACES. Jean BELLISSARD 1. Collaboration:
RIEMANNIAN GEOMETRY of COMPACT METRIC SPACES Jean BELLISSARD 1 Georgia Institute of Technology, Atlanta School of Mathematics & School of Physics Collaboration: I. PALMER (Georgia Tech, Atlanta) 1 e-mail:
More informationStochastic analysis for Markov processes
Colloquium Stochastic Analysis, Leibniz University Hannover Jan. 29, 2015 Universität Bielefeld 1 Markov processes: trivia. 2 Stochastic analysis for additive functionals. 3 Applications to geometry. Markov
More informationNONCOMMUTATIVE. GEOMETRY of FRACTALS
AMS Memphis Oct 18, 2015 1 NONCOMMUTATIVE Sponsoring GEOMETRY of FRACTALS Jean BELLISSARD Georgia Institute of Technology, Atlanta School of Mathematics & School of Physics e-mail: jeanbel@math.gatech.edu
More informationHeat kernel asymptotics on the usual and harmonic Sierpinski gaskets. Cornell Prob. Summer School 2010 July 22, 2010
Heat kernel asymptotics on the usual and harmonic Sierpinski gaskets Naotaka Kajino (Kyoto University) http://www-an.acs.i.kyoto-u.ac.jp/~kajino.n/ Cornell Prob. Summer School 2010 July 22, 2010 For some
More informationLAPLACIANS ON THE BASILICA JULIA SET. Luke G. Rogers. Alexander Teplyaev
Manuscript submitted to AIMS Journals Volume X, Number 0X, XX 200X Website: http://aimsciences.org pp. X XX LAPLACIANS ON THE BASILICA JULIA SET Luke G. Rogers Department of Mathematics, University of
More informationAnalysis and geometry of the measurable Riemannian structure on the Sierpiński gasket
Analysis and geometry of the measurable Riemannian structure on the Sierpiński gasket Naotaka Kajino Abstract. This expository article is devoted to a survey of existent results concerning the measurable
More informationHarmonic Functions and the Spectrum of the Laplacian on the Sierpinski Carpet
Harmonic Functions and the Spectrum of the Laplacian on the Sierpinski Carpet Matthew Begué, Tristan Kalloniatis, & Robert Strichartz October 4, 2011 Norbert Wiener Center Seminar Construction of the Sierpinski
More informationSelf-similar fractals as boundaries of networks
Self-similar fractals as boundaries of networks Erin P. J. Pearse ep@ou.edu University of Oklahoma 4th Cornell Conference on Analysis, Probability, and Mathematical Physics on Fractals AMS Eastern Sectional
More informationSpectral Properties of the Hata Tree
Spectral Properties of the Hata Tree Antoni Brzoska University of Connecticut March 20, 2016 Antoni Brzoska Spectral Properties of the Hata Tree March 20, 2016 1 / 26 Table of Contents 1 A Dynamical System
More informationSelf-similar fractals as boundaries of networks
Self-similar fractals as boundaries of networks Erin P. J. Pearse ep@ou.edu University of Oklahoma 4th Cornell Conference on Analysis, Probability, and Mathematical Physics on Fractals AMS Eastern Sectional
More informationL -uniqueness of Schrödinger operators on a Riemannian manifold
L -uniqueness of Schrödinger operators on a Riemannian manifold Ludovic Dan Lemle Abstract. The main purpose of this paper is to study L -uniqueness of Schrödinger operators and generalized Schrödinger
More informationThe heat kernel meets Approximation theory. theory in Dirichlet spaces
The heat kernel meets Approximation theory in Dirichlet spaces University of South Carolina with Thierry Coulhon and Gerard Kerkyacharian Paris - June, 2012 Outline 1. Motivation and objectives 2. The
More informationMAT 578 FUNCTIONAL ANALYSIS EXERCISES
MAT 578 FUNCTIONAL ANALYSIS EXERCISES JOHN QUIGG Exercise 1. Prove that if A is bounded in a topological vector space, then for every neighborhood V of 0 there exists c > 0 such that tv A for all t > c.
More informationDirac Operators on Fractal Manifolds, Noncommutative Geometry and Intrinsic Geodesic Metrics
Dirac Operators on Fractal Manifolds, Noncommutative Geometry and Intrinsic Geodesic Metrics Michel L. Lapidus University of California, Riverside Department of Mathematics http://www.math.ucr.edu/ lapidus/
More informationGreen s function and eigenfunctions on random Sierpinski gaskets
Green s function and eigenfunctions on random Sierpinski gaskets Daniel Fontaine, Daniel J. Kelleher, and Alexander Teplyaev 2000 Mathematics Subject Classification. Primary: 81Q35; Secondary 28A80, 31C25,
More informationInvariance Principle for Variable Speed Random Walks on Trees
Invariance Principle for Variable Speed Random Walks on Trees Wolfgang Löhr, University of Duisburg-Essen joint work with Siva Athreya and Anita Winter Stochastic Analysis and Applications Thoku University,
More informationDERIVATIONS, DIRICHLET FORMS AND SPECTRAL ANALYSIS
DERIVATIONS, DIRICHLET FORMS AND SPECTRAL ANALYSIS MARIUS IONESCU, LUKE G. ROGERS, AND ALEXANDER TEPLYAEV Abstract. We study derivations and Fredholm modules on metric spaces with a Dirichlet form. In
More informationHeat Flows, Geometric and Functional Inequalities
Heat Flows, Geometric and Functional Inequalities M. Ledoux Institut de Mathématiques de Toulouse, France heat flow and semigroup interpolations Duhamel formula (19th century) pde, probability, dynamics
More informationLocal and Non-Local Dirichlet Forms on the Sierpiński Carpet
Local and Non-Local Dirichlet Forms on the Sierpiński Carpet Alexander Grigor yan and Meng Yang Abstract We give a purely analytic construction of a self-similar local regular Dirichlet form on the Sierpiński
More informationFunctional Analysis I
Functional Analysis I Course Notes by Stefan Richter Transcribed and Annotated by Gregory Zitelli Polar Decomposition Definition. An operator W B(H) is called a partial isometry if W x = X for all x (ker
More informationarxiv: v1 [math.fa] 3 Sep 2017
Spectral Triples for the Variants of the Sierpinski Gasket arxiv:1709.00755v1 [math.fa] 3 Sep 017 Andrea Arauza Rivera arauza@math.ucr.edu September 5, 017 Abstract Fractal geometry is the study of sets
More informationGRADIENTS OF LAPLACIAN EIGENFUNCTIONS ON THE SIERPINSKI GASKET
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume, Number, Pages S 2-999XX- GRADIENTS OF LAPLACIAN EIGENFUNCTIONS ON THE SIERPINSKI GASKET JESSICA L. DEGRADO, LUKE G. ROGERS, AND ROBERT S. STRICHARTZ
More informationIntroduction to the Baum-Connes conjecture
Introduction to the Baum-Connes conjecture Nigel Higson, John Roe PSU NCGOA07 Nigel Higson, John Roe (PSU) Introduction to the Baum-Connes conjecture NCGOA07 1 / 15 History of the BC conjecture Lecture
More informationOn positive solutions of semi-linear elliptic inequalities on Riemannian manifolds
On positive solutions of semi-linear elliptic inequalities on Riemannian manifolds Alexander Grigor yan University of Bielefeld University of Minnesota, February 2018 Setup and problem statement Let (M,
More informationDegenerate harmonic structures on fractal graphs.
Degenerate harmonic structures on fractal graphs. Konstantinos Tsougkas Uppsala University Fractals 6, Cornell University June 16, 2017 1 / 25 Analysis on fractals via analysis on graphs. The motivation
More informationi=1 α i. Given an m-times continuously
1 Fundamentals 1.1 Classification and characteristics Let Ω R d, d N, d 2, be an open set and α = (α 1,, α d ) T N d 0, N 0 := N {0}, a multiindex with α := d i=1 α i. Given an m-times continuously differentiable
More informationNoncommutative Potential Theory 3
Noncommutative Potential Theory 3 Fabio Cipriani Dipartimento di Matematica Politecnico di Milano ( joint works with U. Franz, D. Guido, T. Isola, A. Kula, J.-L. Sauvageot ) Villa Mondragone Frascati,
More informationOverview of normed linear spaces
20 Chapter 2 Overview of normed linear spaces Starting from this chapter, we begin examining linear spaces with at least one extra structure (topology or geometry). We assume linearity; this is a natural
More informationA trace theorem for Dirichlet forms on fractals. and its application. Takashi Kumagai (RIMS, Kyoto University, Japan)
A trace theorem for Dirichlet forms on fractals and its application Takashi Kumagai (RIMS, Kyoto University, Japan) http://www.kurims.kyoto-u.ac.jp/~kumagai/ November 17, 2005 at Bucharest Joint work with
More informationSpectral Decimation for Families of Laplacians on the Sierpinski Gasket
Spectral Decimation for Families of Laplacians on the Sierpinski Gasket Seraphina Lee November, 7 Seraphina Lee Spectral Decimation November, 7 / 53 Outline Definitions: Sierpinski gasket, self-similarity,
More informationHeat Kernel and Analysis on Manifolds Excerpt with Exercises. Alexander Grigor yan
Heat Kernel and Analysis on Manifolds Excerpt with Exercises Alexander Grigor yan Department of Mathematics, University of Bielefeld, 33501 Bielefeld, Germany 2000 Mathematics Subject Classification. Primary
More informationStochastic Processes on Fractals. Takashi Kumagai (RIMS, Kyoto University, Japan)
Stochastic Processes on Fractals Takashi Kumagai (RIMS, Kyoto University, Japan) http://www.kurims.kyoto-u.ac.jp/~kumagai/ Stochastic Analysis and Related Topics July 2006 at Marburg Plan (L1) Brownian
More informationHarmonic Functions and the Spectrum of the Laplacian on the Sierpinski Carpet
Harmonic Functions and the Spectrum of the Laplacian on the Sierpinski Carpet Matthew Begué, Tristan Kalloniatis, & Robert Strichartz October 3, 2010 Construction of SC The Sierpinski Carpet, SC, is constructed
More information1 Math 241A-B Homework Problem List for F2015 and W2016
1 Math 241A-B Homework Problem List for F2015 W2016 1.1 Homework 1. Due Wednesday, October 7, 2015 Notation 1.1 Let U be any set, g be a positive function on U, Y be a normed space. For any f : U Y let
More informationNontangential limits and Fatou-type theorems on post-critically finite self-similar sets
Nontangential limits and on post-critically finite self-similar sets 4th Cornell Conference on Analysis, Probability, and Mathematical Physics on Fractals Universidad de Colima Setting Boundary limits
More informationA Brief Introduction to Functional Analysis
A Brief Introduction to Functional Analysis Sungwook Lee Department of Mathematics University of Southern Mississippi sunglee@usm.edu July 5, 2007 Definition 1. An algebra A is a vector space over C with
More informationNelson s early work on probability
Nelson s early work on probability William G. Faris November 24, 2016; revised September 7, 2017 1 Introduction Nelson s early work on probability treated both general stochastic processes and the particular
More informationFractal Geometry and Complex Dimensions in Metric Measure Spaces
Fractal Geometry and Complex Dimensions in Metric Measure Spaces Sean Watson University of California Riverside watson@math.ucr.edu June 14th, 2014 Sean Watson (UCR) Complex Dimensions in MM Spaces 1 /
More informationDiamond Fractal. March 19, University of Connecticut REU Magnetic Spectral Decimation on the. Diamond Fractal
University of Connecticut REU 2015 March 19, 2016 Motivation In quantum physics, energy levels of a particle are the spectrum (in our case eigenvalues) of an operator. Our work gives the spectrum of a
More informationAnderson Localization on the Sierpinski Gasket
Anderson Localization on the Sierpinski Gasket G. Mograby 1 M. Zhang 2 1 Department of Physics Technical University of Berlin, Germany 2 Department of Mathematics Jacobs University, Germany 5th Cornell
More informationFunctional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...
Functional Analysis Franck Sueur 2018-2019 Contents 1 Metric spaces 1 1.1 Definitions........................................ 1 1.2 Completeness...................................... 3 1.3 Compactness......................................
More informationNoncommutative Geometry and Potential Theory on the Sierpinski Gasket
Noncommutative Geometry and Potential Theory on the Sierpinski Gasket Fabio Cipriani Dipartimento di Matematica Politecnico di Milano ( Joint works with D. Guido, T. Isola, J.-L. Sauvageot ) Neapolitan
More informationReal Analysis, 2nd Edition, G.B.Folland Elements of Functional Analysis
Real Analysis, 2nd Edition, G.B.Folland Chapter 5 Elements of Functional Analysis Yung-Hsiang Huang 5.1 Normed Vector Spaces 1. Note for any x, y X and a, b K, x+y x + y and by ax b y x + b a x. 2. It
More information3. (a) What is a simple function? What is an integrable function? How is f dµ defined? Define it first
Math 632/6321: Theory of Functions of a Real Variable Sample Preinary Exam Questions 1. Let (, M, µ) be a measure space. (a) Prove that if µ() < and if 1 p < q
More informationPowers of the Laplacian on PCF Fractals
Based on joint work with Luke Rogers and Robert S. Strichartz AMS Fall Meeting, Riverside November 8, 2009 PCF Fractals Definitions Let {F 1, F 2,..., F N } be an iterated function system of contractive
More informationMagnetic Spectral Decimation on the. Diamond Fractal. Aubrey Coffey, Madeline Hansalik, Stephen Loew. Diamond Fractal.
July 28, 2015 Outline Outline Motivation Laplacians Spectral Decimation Magnetic Laplacian Gauge Transforms and Dynamic Magnetic Field Results Motivation Understanding the spectrum allows us to analyze
More informationAn introduction to some aspects of functional analysis
An introduction to some aspects of functional analysis Stephen Semmes Rice University Abstract These informal notes deal with some very basic objects in functional analysis, including norms and seminorms
More informationWEAK UNCERTAINTY PRINCIPLE FOR FRACTALS, GRAPHS AND METRIC MEASURE SPACES
WEAK UNCERTAINTY PRINCIPLE FOR FRACTALS, GRAPHS AND METRIC MEASURE SPACES KASSO A. OKOUDJOU, LAURENT SALOFF-COSTE, AND ALEXANDER TEPLYAEV Abstract. We develop a new approach to formulate and prove the
More informationScientific Computing WS 2018/2019. Lecture 15. Jürgen Fuhrmann Lecture 15 Slide 1
Scientific Computing WS 2018/2019 Lecture 15 Jürgen Fuhrmann juergen.fuhrmann@wias-berlin.de Lecture 15 Slide 1 Lecture 15 Slide 2 Problems with strong formulation Writing the PDE with divergence and gradient
More informationFinite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product
Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )
More informationOn semilinear elliptic equations with measure data
On semilinear elliptic equations with measure data Andrzej Rozkosz (joint work with T. Klimsiak) Nicolaus Copernicus University (Toruń, Poland) Controlled Deterministic and Stochastic Systems Iasi, July
More informationPROBLEMS. (b) (Polarization Identity) Show that in any inner product space
1 Professor Carl Cowen Math 54600 Fall 09 PROBLEMS 1. (Geometry in Inner Product Spaces) (a) (Parallelogram Law) Show that in any inner product space x + y 2 + x y 2 = 2( x 2 + y 2 ). (b) (Polarization
More informationMath 209B Homework 2
Math 29B Homework 2 Edward Burkard Note: All vector spaces are over the field F = R or C 4.6. Two Compactness Theorems. 4. Point Set Topology Exercise 6 The product of countably many sequentally compact
More informationDOMAINS OF DIRICHLET FORMS AND EFFECTIVE RESISTANCE ESTIMATES ON P.C.F. FRACTALS. 1. Introduction
DOMAINS OF DIRICHLET FORMS AND EFFECTIVE RESISTANCE ESTIMATES ON P.C.F. FRACTALS JIAXIN HU 1 AND XINGSHENG WANG Abstract. In this paper we consider post-critically finite self-similar fractals with regular
More informationMyopic Models of Population Dynamics on Infinite Networks
Myopic Models of Population Dynamics on Infinite Networks Robert Carlson Department of Mathematics University of Colorado at Colorado Springs rcarlson@uccs.edu June 30, 2014 Outline Reaction-diffusion
More informationPDEs in Image Processing, Tutorials
PDEs in Image Processing, Tutorials Markus Grasmair Vienna, Winter Term 2010 2011 Direct Methods Let X be a topological space and R: X R {+ } some functional. following definitions: The mapping R is lower
More informationA local time scaling exponent for compact metric spaces
A local time scaling exponent for compact metric spaces John Dever School of Mathematics Georgia Institute of Technology Fractals 6 @ Cornell, June 15, 2017 Dever (GaTech) Exit time exponent Fractals 6
More informationRecall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm
Chapter 13 Radon Measures Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm (13.1) f = sup x X f(x). We want to identify
More informationFonctions on bounded variations in Hilbert spaces
Fonctions on bounded variations in ilbert spaces Newton Institute, March 31, 2010 Introduction We recall that a function u : R n R is said to be of bounded variation (BV) if there exists an n-dimensional
More informationGeometry and the Kato square root problem
Geometry and the Kato square root problem Lashi Bandara Centre for Mathematics and its Applications Australian National University 7 June 2013 Geometric Analysis Seminar University of Wollongong Lashi
More informationHeat kernels on metric measure spaces
Heat kernels on metric measure spaces Alexander Grigor yan Department of Mathematics University of Bielefeld 33501 Bielefeld, Germany Jiaxin Hu Department of Mathematical Sciences Tsinghua University Beijing
More informationCONVERGENCE THEORY. G. ALLAIRE CMAP, Ecole Polytechnique. 1. Maximum principle. 2. Oscillating test function. 3. Two-scale convergence
1 CONVERGENCE THEOR G. ALLAIRE CMAP, Ecole Polytechnique 1. Maximum principle 2. Oscillating test function 3. Two-scale convergence 4. Application to homogenization 5. General theory H-convergence) 6.
More informationFractals and Dimension
Chapter 7 Fractals and Dimension Dimension We say that a smooth curve has dimension 1, a plane has dimension 2 and so on, but it is not so obvious at first what dimension we should ascribe to the Sierpinski
More informationP(E t, Ω)dt, (2) 4t has an advantage with respect. to the compactly supported mollifiers, i.e., the function W (t)f satisfies a semigroup law:
Introduction Functions of bounded variation, usually denoted by BV, have had and have an important role in several problems of calculus of variations. The main features that make BV functions suitable
More informationOn m-accretive Schrödinger operators in L p -spaces on manifolds of bounded geometry
On m-accretive Schrödinger operators in L p -spaces on manifolds of bounded geometry Ognjen Milatovic Department of Mathematics and Statistics University of North Florida Jacksonville, FL 32224 USA. Abstract
More informationSome SDEs with distributional drift Part I : General calculus. Flandoli, Franco; Russo, Francesco; Wolf, Jochen
Title Author(s) Some SDEs with distributional drift Part I : General calculus Flandoli, Franco; Russo, Francesco; Wolf, Jochen Citation Osaka Journal of Mathematics. 4() P.493-P.54 Issue Date 3-6 Text
More informationCALCULUS ON MANIFOLDS. 1. Riemannian manifolds Recall that for any smooth manifold M, dim M = n, the union T M =
CALCULUS ON MANIFOLDS 1. Riemannian manifolds Recall that for any smooth manifold M, dim M = n, the union T M = a M T am, called the tangent bundle, is itself a smooth manifold, dim T M = 2n. Example 1.
More informationSpectral Continuity Properties of Graph Laplacians
Spectral Continuity Properties of Graph Laplacians David Jekel May 24, 2017 Overview Spectral invariants of the graph Laplacian depend continuously on the graph. We consider triples (G, x, T ), where G
More informationAnalysis Preliminary Exam Workshop: Hilbert Spaces
Analysis Preliminary Exam Workshop: Hilbert Spaces 1. Hilbert spaces A Hilbert space H is a complete real or complex inner product space. Consider complex Hilbert spaces for definiteness. If (, ) : H H
More informationShort note on compact operators - Monday 24 th March, Sylvester Eriksson-Bique
Short note on compact operators - Monday 24 th March, 2014 Sylvester Eriksson-Bique 1 Introduction In this note I will give a short outline about the structure theory of compact operators. I restrict attention
More informationON PARABOLIC HARNACK INEQUALITY
ON PARABOLIC HARNACK INEQUALITY JIAXIN HU Abstract. We show that the parabolic Harnack inequality is equivalent to the near-diagonal lower bound of the Dirichlet heat kernel on any ball in a metric measure-energy
More informationTHEOREMS, ETC., FOR MATH 516
THEOREMS, ETC., FOR MATH 516 Results labeled Theorem Ea.b.c (or Proposition Ea.b.c, etc.) refer to Theorem c from section a.b of Evans book (Partial Differential Equations). Proposition 1 (=Proposition
More informationPERCOLATION ON THE NON-P.C.F. SIERPIŃSKI GASKET AND HEXACARPET
PERCOLATION ON THE NON-P.C.F. SIERPIŃSKI GASKET AND HEXACARPET DEREK LOUGEE Abstract. We investigate bond percolation on the non-p.c.f. Sierpiński gasket and the hexacarpet. With the use of the diamond
More informationAppendix A Functional Analysis
Appendix A Functional Analysis A.1 Metric Spaces, Banach Spaces, and Hilbert Spaces Definition A.1. Metric space. Let X be a set. A map d : X X R is called metric on X if for all x,y,z X it is i) d(x,y)
More informationFive Mini-Courses on Analysis
Christopher Heil Five Mini-Courses on Analysis Metrics, Norms, Inner Products, and Topology Lebesgue Measure and Integral Operator Theory and Functional Analysis Borel and Radon Measures Topological Vector
More informationSpectral decimation & its applications to spectral analysis on infinite fractal lattices
Spectral decimation & its applications to spectral analysis on infinite fractal lattices Joe P. Chen Department of Mathematics Colgate University QMath13: Mathematical Results in Quantum Physics Special
More informationSelf similar Energy Forms on the Sierpinski Gasket with Twists
Potential Anal (2007) 27:45 60 DOI 10.1007/s11118-007-9047-3 Self similar Energy Forms on the Sierpinski Gasket with Twists Mihai Cucuringu Robert S. Strichartz Received: 11 May 2006 / Accepted: 30 January
More informationFact Sheet Functional Analysis
Fact Sheet Functional Analysis Literature: Hackbusch, W.: Theorie und Numerik elliptischer Differentialgleichungen. Teubner, 986. Knabner, P., Angermann, L.: Numerik partieller Differentialgleichungen.
More informationLaplacians on Self-Similar Fractals and Their Spectral Zeta Functions: Complex Dynamics and Renormalization
Laplacians on Self-Similar Fractals and Their Spectral Zeta Functions: Complex Dynamics and Renormalization Michel L. Lapidus University of California, Riverside lapidus@math.ucr.edu Joint work with Nishu
More informationGeneralized Schrödinger semigroups on infinite weighted graphs
Generalized Schrödinger semigroups on infinite weighted graphs Institut für Mathematik Humboldt-Universität zu Berlin QMATH 12 Berlin, September 11, 2013 B.G, Ognjen Milatovic, Francoise Truc: Generalized
More information1 Continuity Classes C m (Ω)
0.1 Norms 0.1 Norms A norm on a linear space X is a function : X R with the properties: Positive Definite: x 0 x X (nonnegative) x = 0 x = 0 (strictly positive) λx = λ x x X, λ C(homogeneous) x + y x +
More informationMean value properties on Sierpinski type fractals
Mean value properties on Sierpinski type fractals Hua Qiu (Joint work with Robert S. Strichartz) Department of Mathematics Nanjing University, Cornell University Department of Mathematics, Nanjing University
More informationLaplace s Equation. Chapter Mean Value Formulas
Chapter 1 Laplace s Equation Let be an open set in R n. A function u C 2 () is called harmonic in if it satisfies Laplace s equation n (1.1) u := D ii u = 0 in. i=1 A function u C 2 () is called subharmonic
More informationBrownian Motion. 1 Definition Brownian Motion Wiener measure... 3
Brownian Motion Contents 1 Definition 2 1.1 Brownian Motion................................. 2 1.2 Wiener measure.................................. 3 2 Construction 4 2.1 Gaussian process.................................
More informationMalliavin Calculus: Analysis on Gaussian spaces
Malliavin Calculus: Analysis on Gaussian spaces Josef Teichmann ETH Zürich Oxford 2011 Isonormal Gaussian process A Gaussian space is a (complete) probability space together with a Hilbert space of centered
More informationLecture No 1 Introduction to Diffusion equations The heat equat
Lecture No 1 Introduction to Diffusion equations The heat equation Columbia University IAS summer program June, 2009 Outline of the lectures We will discuss some basic models of diffusion equations and
More information