Phase-Field Force Convergence

Σχετικά έγγραφα
Phase-Field Variational Implicit Solvation

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

Example Sheet 3 Solutions

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p)

Uniform Convergence of Fourier Series Michael Taylor

Other Test Constructions: Likelihood Ratio & Bayes Tests

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X.

Every set of first-order formulas is equivalent to an independent set

C.S. 430 Assignment 6, Sample Solutions

Partial Differential Equations in Biology The boundary element method. March 26, 2013

5. Choice under Uncertainty

2 Composition. Invertible Mappings

Parametrized Surfaces

Statistical Inference I Locally most powerful tests

A Note on Intuitionistic Fuzzy. Equivalence Relation

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in

Areas and Lengths in Polar Coordinates

Fractional Colorings and Zykov Products of graphs

Areas and Lengths in Polar Coordinates

Congruence Classes of Invertible Matrices of Order 3 over F 2

D Alembert s Solution to the Wave Equation

The Pohozaev identity for the fractional Laplacian

ST5224: Advanced Statistical Theory II

Bounding Nonsplitting Enumeration Degrees

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

derivation of the Laplacian from rectangular to spherical coordinates

b. Use the parametrization from (a) to compute the area of S a as S a ds. Be sure to substitute for ds!

Local Approximation with Kernels

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013

12. Radon-Nikodym Theorem

Chapter 3: Ordinal Numbers

Lecture 21: Properties and robustness of LSE

Sequent Calculi for the Modal µ-calculus over S5. Luca Alberucci, University of Berne. Logic Colloquium Berne, July 4th 2008

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β

SOME PROPERTIES OF FUZZY REAL NUMBERS

de Rham Theorem May 10, 2016

Finite Field Problems: Solutions

Reminders: linear functions

( y) Partial Differential Equations

Homework 8 Model Solution Section

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics

Homomorphism of Intuitionistic Fuzzy Groups

Mean-Variance Analysis

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3

Lecture 2. Soundness and completeness of propositional logic

Homomorphism in Intuitionistic Fuzzy Automata

1. (a) (5 points) Find the unit tangent and unit normal vectors T and N to the curve. r(t) = 3cost, 4t, 3sint

Approximation of distance between locations on earth given by latitude and longitude

The semiclassical Garding inequality

Solutions to Exercise Sheet 5

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

Approximation of dynamic boundary condition: The Allen Cahn equation

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:

Heisenberg Uniqueness pairs

EE512: Error Control Coding

MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS

Higher Derivative Gravity Theories

CRASH COURSE IN PRECALCULUS

Iterated trilinear fourier integrals with arbitrary symbols

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

6.3 Forecasting ARMA processes

Pg The perimeter is P = 3x The area of a triangle is. where b is the base, h is the height. In our case b = x, then the area is

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

Min-max Theory, Willmore conjecture, and Energy of links

The Simply Typed Lambda Calculus

Oscillatory integrals

Knaster-Reichbach Theorem for 2 κ

4.6 Autoregressive Moving Average Model ARMA(1,1)

Limit theorems under sublinear expectations and probabilities

w o = R 1 p. (1) R = p =. = 1

Differential forms and the de Rham cohomology - Part I

The Probabilistic Method - Probabilistic Techniques. Lecture 7: The Janson Inequality

Matrices and Determinants

Abstract Storage Devices

Global nonlinear stability of steady solutions of the 3-D incompressible Euler equations with helical symmetry and with no swirl

Geodesic Equations for the Wormhole Metric

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.

Some new generalized topologies via hereditary classes. Key Words:hereditary generalized topological space, A κ(h,µ)-sets, κµ -topology.

Lecture 34 Bootstrap confidence intervals

A Two-Sided Laplace Inversion Algorithm with Computable Error Bounds and Its Applications in Financial Engineering

Online Appendix I. 1 1+r ]}, Bψ = {ψ : Y E A S S}, B W = +(1 s)[1 m (1,0) (b, e, a, ψ (0,a ) (e, a, s); q, ψ, W )]}, (29) exp( U(d,a ) (i, x; q)

Depth versus Rigidity in the Design of International Trade Agreements. Leslie Johns

On the Galois Group of Linear Difference-Differential Equations

Section 8.3 Trigonometric Equations

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

Intuitionistic Fuzzy Ideals of Near Rings

F A S C I C U L I M A T H E M A T I C I

Homework 3 Solutions

wave energy Superposition of linear plane progressive waves Marine Hydrodynamics Lecture Oblique Plane Waves:

GAUGES OF BAIRE CLASS ONE FUNCTIONS

F19MC2 Solutions 9 Complex Analysis

Solution Series 9. i=1 x i and i=1 x i.

Transcript:

Phase-Field Force Convergence Bo Li Department of Mathematics and Quantitative Biology Graduate Program UC San Diego Collaborators: Shibin Dai and Jianfeng Lu Funding: NSF School of Mathematical Sciences Shanghai Jiao Tong University November 14, 2017 1 / 21

Interface motion Let x = x(t) be a point on a moving interface Γ = Γ(t). Velocity: ẋ(t) Unit normal: n = n(x) Normal velocity: v n = ẋ n(x) x n Mean curvature: H = H(x) Γ + Curvature driven interface motion Mean-curvature flow: v n = H. Gradient flow: v n = δ Γ E[Γ] with E[Γ] = area (Γ). Surface diffusion: v n = Γ H. Willmore flow: v n = Γ H + 2H(H 2 K). Gradient flow: v n = δ Γ E[Γ] with E[Γ] = Γ H 2 ds. 2 / 21

Interface motion driven by curvature and field Two-phase flows ρ ± (u t + (u )u) = µ ± u p + f in ± (t), u = 0 in ± (t), u n = 0 and 2µn D(u)n p = γh on Γ(t), v n = u n on Γ(t). The Mullins Sekerka equations for solidification u = 0 in (t) + (t), u = H on Γ(t), v n = n u on Γ(t). Relaxation of a dielectric boundary ε Γ(t) u = ρ in, v n = γh + 1 ( 1 1 ) εγ(t) n u 2 2 ε + ε + 1 2 (ε ε + ) (I n n) u 2 on Γ(t). 3 / 21

Numerical methods for tracking interface motion Front Tracking Method: Level-Set Method x(t + t) x(t) + t v(x(t)). A level-set representation: Γ(t) = {x : φ(x, t) = 0}. By the Chain Rule: t φ + φ ẋ = 0. Use n = φ/ φ to get the level-set equation t φ + v n φ = 0. Phase-Field Method Diffuse interface described by a phase-field function φ : R: φ 1 inside, φ 0 outside. Approximating sharp interface: Γ = {x : φ(x) = 1/2}. Question: Phase-field surface area? χ A 1 0 4 / 21

The van der Waals Cahn Hilliard Functional [ ε E ε [φ] = 2 φ 2 + 1 ] ε W (φ) dx W (φ) = 18φ 2 (φ 1) 2 Under some constraints, e.g., φ 0 in and 0 < φ dx <, 0 1 small E ε [φ]: φ 0 or φ 1, and E ε [φ] area ({φ = 1/2}). Mean-Curvature Flow Sharp Interface Diffuse [ Interface ε Energy E[Γ] = area (Γ) E ε [φ] = 2 φ 2 + 1 ] ε W (φ) dx First Variation δ Γ E[Γ] = H δe ε [φ] = ε φ + 1 ε W (φ) Gradient Flow v n = H t φ = ε φ 1 ε W (φ) 5 / 21

Energy Convergence (Modica-Mortola 1977, Modica 1987, & Sternberg 1988) Let R d (d 2) be a bounded domain and ε k 0. Recall the perimeter of G in {: } P (G) = sup χ G g dx : g Cc 1 (, R d ), g 1 in. Define E 0 : L 1 () [0, ] by { P (G) if φ = χ G for some G, E 0 [φ] = + otherwise. Theorem {E εk } Γ-converges to E 0 w.r.t. the L 1 -convergence, i.e., (1) If φ k φ in L 1 (), then φ = χ G for some G, and lim inf E ε k [φ k ] E 0 [φ]; (2) φ L 1 (), there exist φ k L 1 () s.t. φ k φ in L 1 () and lim sup E εk [φ k ] E 0 [φ]. 6 / 21

Consequences. Consider the set A of all φ H 1 () subject to some constraints, e.g., φ = φ 0 on for a given φ 0, and/or φ dx = θ for some constant θ (0, ). (1) If ε k 0 and φ k = arg min {E εk [φ] : φ A}, then (up to a subsequence) φ k arg min E 0 and min E εk min E 0. (2) If φ 0 is an isoloted local minimizer of E 0, then there exsit φ k, local minimizer of E εk, such that φ k φ 0 in L 1 (). 7 / 21

Sketch of Proof. (1) lim inf E ξk [φ k ] E 0 [φ], if φ k φ in L 1 (). Assume {E εk [φ k ]} converges and φ k φ a.e. in. Then, φ k φ in L q () for any q [1, 4). Define η k (x) := φk (x) 0 2W (s) ds, x, k = 1, 2,... Then, {η k } is bounded in L 4/3 (). Since η k = 2W (φ k ) φ k, [ εk sup η k L 1 () sup k 1 k 1 2 φ k 2 + 1 ] W (φ k ) dx <. ε k The compact embedding W 1,1 () L 1 () implies that, up to a subsequence, η k η in L 1 (). Let η correspond to some φ 0. So, φ k φ 0 a.e.. Hence φ = φ 0 a.e.. But W (φ k ) L 1 () 0. Hence, φ = χ G, and η k χ G a.e. (this is why 18). Finally, E 0 [φ] = P (G) lim inf η k dx lim inf E ε k [φ k ]. 8 / 21

(2) For any φ L 1 (), there exist φ k L 1 () s.t. φ k φ in L 1 () and lim sup E εk [φ k ] E 0 [φ]. Assume E 0 [φ] <. So, φ = χ G with G and P (G) <. Construction of φ k in two steps. Step 1. Assume G is smooth and construct φ k such that 0 φ k χ G in, φ k = 1 in G k := {x G : dist(x, G) ε k }, φ k = 0 in \ G, φ k χ G strongly in L 1 () and a.e. in, [ εk lim sup 2 φ k 2 + 1 ] W (φ k ) dx P (G). ε k 9 / 21

Details. Write ε for ε k and define q ε : [0, 1] R by t ε q ε (t) = ds. 2ε + 2W (s) 0 Denote λ ε = q ε (1) (0, ε/2) and let p ε : [0, λ ε ] [0, 1] be the inverse of q ε : [0, 1] [0, λ ε ]. Then εp ε(s) = 2ε + 2W (p ε (s)) s [0, λ ε ]. Extend p ε : p ε (s) = 0 if s < 0 and p ε (s) = 1 if s > λ ε. Define φ ε (x) = p ε (d s (x)) x, where d s (x) = dist (x, G) if x G and dist (x, G) if x G c. Note that ε φ ε = 2ε + 2W (φ ε ). Step 2. Assume φ = χ G with 0 < G < and P (G) <. Approximate G by smooth sets. Q.E.D. 10 / 21

Force Convergence Let R d be a bounded domain. Let G be open and smooth with ν the unit outer normal of G. Define the boundary force f 0 [ G] := δ G P (G) = (d 1)Hν. Lemma. We have for any V Cc 1 (, R d ) that f 0 [ G] V ds = (I ν ν) : V ds. G G 11 / 21

Phase-field force and stress [ f ε (φ) := δ φ E ε [φ]( φ) = ε φ + 1 ] ε W (φ) φ, [ ε T ε (φ) = 2 φ 2 + 1 ] ε W (φ) I ε φ φ. Lemma. We have for any φ H 2 () tht f ε (φ) = T ε (φ) a.e., f ε (φ) V dx = T ε (φ) : V dx V Cc 1 (, R d ). 12 / 21

Theorem (Force convergence). Assume G, P (G) <, φ k χ G a.e., E εk [φ k ] P (G), and Ψ C c (, R d d ). Then T εk (φ k ) : Ψ dx = (I ν ν) : Ψ dh d 1. (1) lim G If, in addition, all φ k W 2,2 (), G is open, and G is of C 2, then [ lim ε k φ k + 1 ] W (φ k ) φ k V dx ε k = (d 1) Hν V ds V Cc 1 (, R d ). Remarks. G The set G is the reduced boundary of G (De Giorgi 1955). With Ψ = V, we see that f εk (φ k ) f 0 ( G) weakly. Energy convergence is necessary. 13 / 21

Definition. A point x G, if P B(x,r) (E) = Dχ E > 0 for all r > 0; B(x,r) B(x,r) The limit ν(x) = lim Dχ E r 0 B(x,r) Dχ E ν(x) = 1. exists; and Structure Theorem. Assume G and P (G) <. Then G = j=1 K j Q, where G (Q) = 0, and each K j is a compact subset of a C 1 -hypersurface S j with ν G is normal to S j, and all K j are disjoint. Moreover, j=1 Hd 1 (K j ) = H d 1 ( G) = G () = P (G). 14 / 21

Example. Let a > 0 and W a (s) = W (s)/a. Define φ k w.r.t. W a ε k φ k = 2ε k + 2W a (φ k ). Then, φ k χ G in L 1 () and a.e. in. We have [ ] εk lim dx = lim = lim = P (G) 1 2 φ k 2 + W (φ k) ε k ( Wa (φ k ) + ε k + 2 0 1 0 H n 1 ({φ k (x) = s}) aw a (φ k ) 2 [Wa (φ k ) + ε k ] ( Wa (s) + ε k 2 + ) φ k dx 1 + a 2 Wa (s) ds = 1 + a 2 a P (G) > P (G). ) aw a (s) ds 2 [Wa (s) + ε k ] Let Ψ = η d s d s (η: a cut-off function). Then (1) fails. 15 / 21

Lemma (Asymptotic equipartition of energy). We have 2 lim εk 2 φ W (φ k ) k ε k dx = 0, k ε 2 φ k 2 1 W (φ k ) ε k dx = 0. lim Proof. We have 2 0 lim sup εk 2 φ W (φ k ) k ε k dx [ εk = lim sup 2 φ k 2 + 1 W (φ k ) ] 2W (φ k ) φ k dx ε k = P (G) lim inf η k dx 0. k ξ 2 φ k 2 1 W (φ k ) ξ k = ( ) ( ) ( ) + ( ). Q.E.D. 16 / 21

Proof of Theorem on Force Convergence. Need only to prove that for any Ψ C c (, R d d ) T εk (φ k ) : Ψ dx = (I ν ν) : Ψ dh d 1. lim G If suffices to prove that for any Ψ C c (, R d d ) ε k φ k φ k : Ψ dx = ν ν : Ψ dh d 1. lim G Assume this is true. With (I : Ψ)I replacing Ψ, we have [ εk lim 2 φ k 2 + 1 ] W (φ k ) I : Ψ dx ε k = lim ε k φ k 2 I : Ψ dx = lim ε k φ k φ k : (I : Ψ)I dx = ν ν : (I : Ψ)I dh d 1 = I : Ψ dh d 1. G G 17 / 21

Fix Ψ C c (, R d d ) and prove now ε k φ k φ k : Ψ dx = lim G ν ν : Ψ dh d 1. Let σ > 0. Recall that G = ( j=1 K j) Q, where K j s are disjoint compact sets, each being a subset of a C 1 -hypersurface S j, and Q G with G (Q) = 0. Moreover, j=1 Hd 1 (K j ) = H d 1 ( G) = G () = P (G) <. Choose J so that j=j+1 Hd 1 (K j ) < σ. Choose open U j such that K j U j U j (j = 1,..., J). For each j, we define d (j) s : U j R to be the signed distance to S j, and zero-extend d (j) s to \ U j. Choose ζ j Cc 1 () be such that 0 ζ j 1 on, ζ j = 1 in a neighborhood of K j, supp (ζ j ) U j, and ζ j d s (j) C c (, R d ). Set ν J = J j=1 ζ j d s (j) C c (, R d ) and note that ν j 1 on and ν j = ν on each K j (1 j J). 18 / 21

We rewrite ε k φ k φ k as ε k φ k φ k = ( ε k φ k + ε k φ k ν J ) ε k φ k + 2W (φ k ) ε k φ k ν J ε k φ k ε k ν J 2W (φ k ) φ k. Finally, lim sup ε k φ k φ k : Ψ dx ν ν : Ψ dh n 1 G ( ) 4σ sup ε k φ k L 2 () k 1 Ψ L () + 2σ Ψ L (). This completes the proof. Q.E.D. 19 / 21

Phase-Field Free-Energy Functional for Molecular Solvation [ ξ F ξ [φ] = P 0 φ 2 dx + γ 0 2 φ 2 + 1 ] ξ W (φ) dx + ρ 0 (φ 1) 2 U vdw dx + F ele [φ] [ F ele [φ] = ε(φ) ] 2 ψ φ 2 + ρψ φ (φ 1) 2 B(ψ φ ) dx ε(φ) ψ φ (φ 1) 2 B (ψ φ ) = ρ ψ φ = ψ on Main results: Free-energy convergence and force convergence. in dielectric boundary w n p Γ ε p=1 ε w=80 xi Q i 20 / 21

Thank you! 21 / 21