Phase-Field Variational Implicit Solvation
|
|
- Αμφιτρίτη Γιάγκος
- 6 χρόνια πριν
- Προβολές:
Transcript
1 Phase-Field Variational Implicit Solvation Bo Li Department of Mathematics and Quantitative Biology Graduate Program UC San Diego KI-Net Conference: Mean-Field Modeling and Multiscale Methods for Complex Physical and Biological Systems UC Santa-Barbara October 31 November 3, 2016
2 Collaborators Modeling and Computation J. Andrew McCammon (UC San Diego) Joachim Dzubiella (Helmholtz Institute, Berlin) Jianwei Che (Parallel Computing Labs, San Diego) Zuojun Guo (Plexxikon, Inc., Berkeley) Li-Tien Cheng (UC San Diego) Shenggao Zhou (Soochow University) Yanxiang Zhao (George Washington University) Hui Sun (UC San Diego & Cal State, Long Beach) Jiayi Wen (Yahoo) Analysis Yanxiang Zhao (George Washington University) Yuan Liu (Fudan University) Shibin Dai (New Mexico State University) Jianfeng Lu (Duke University) Funding: NIH and NSF
3 Solvation Molecular Modeling: Explicit Solvent vs. Implicit Solvent
4 Dielectric Boundary Based Implicit-Solvent Models Fixed-surface models solvent excluded surface (SES) probing ball vdw surface solvent accessible surface (SAS) G total = G surf + G ele-pb/gb decoupling fitting parameters cavities curvature correction Hasted, Ritson, & Collie, JCP 1948.
5 OUTLINE 1. A Variational Model of Biomolecules 2. The Poisson Boltzmann Electrostatics 3. Convergence of Free Energy 4. Convergence of Force 5. Convergence of Interface
6 1. A Variational Model of Biomolecules Free-energy functional (Dzubiella, Swanson, & McCammon, 2006) F [Γ] = P 0 Vol ( p ) + γ 0 Area (Γ) + ρ 0 U vdw dx + F ele [Γ] w [ F ele [Γ] = ε ] Γ 2 ψ Γ 2 + ρψ Γ χ w B(ψ Γ ) dx U vdw (x) = N i=1 U(i) LJ ( x x i ) U (i) LJ (r) = 4ε i [(σ i /r) 12 (σ i /r) 6] ε Γ ψ Γ χ w B (ψ Γ ) = ρ ψ Γ = ψ on B(s) = k B T M j=1 c j in ( ) e q j s/(k B T ) 1 dielectric boundary w Note: min B = B(0) = 0, B > 0, and B(± ) =. n p Γ ε p=1 ε w=80 xi Q i
7 Free-energy functional F [Γ] = P 0 Vol ( p ) + γ 0 Area (Γ) + ρ 0 w U vdw dx + F ele [Γ] Boundary force F n : Γ R F n = δ Γ F [Γ] = P 0 2γ 0 H + ρ 0 U vdw δ Γ F ele [Γ] δ Γ F ele [Γ] = 1 2 ( 1 1 ) ε Γ ψ Γ n 2 ε p ε w (ε w ε p ) (I n n) ψ Γ 2 + B(ψ Γ ) In particular, δ Γ F ele [Γ] < 0, since ε w > ε p. (Li, Cheng, & Zhang, SIAP 2011) dielectric boundary w n p Γ ε p=1 ε w=80 xi Q i
8 pmf G (kb tot T) PS Tight 100 PS Loose 120 PB Tight PB Loose d (Å)
9 χ A Phase-field model of interface uɛ 1 0 The van der Waals Cahn Hilliard functional [ ξ E ξ [φ] = 2 φ ] ξ W (φ) dx W (φ) = 18φ 2 (φ 1) 2 Why phase-field modeling? An alternative numerical method of implementation. Proof of existence of a minimizer for the sharp-interface free-energy functional. Connection to the Lum Chandler Weeks (LCW) theory of solvation (J. Phys. Chem. B 1999). Description of both bulk and interfacial fluctuations.
10 Phase field φ : w = {φ 0}, p = {φ 1}, and Γ = {φ 1/2}; Dielectric coefficient ε = ε(φ) C 1 (R): ε(φ) = { εw if φ 0 ε p if φ 1 and ε (φ) > 0 if 0 < φ < 1. Phase-field free-energy functional F ξ [φ] = P 0 φ 2 dx + γ 0 [ ξ 2 φ ] 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 in
11 2. The Poisson Boltzmann Electrostatics 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 in (1) ψ φ = ψ on (2) Define A = { u H 1 () : u = ψ on }, [ ] ε(φ) E φ [u] = 2 u 2 ρu + (φ 1) 2 B(u) dx. Theorem 1. For any φ L 4 (), there exists a unique weak solution ψ φ A to (1) and (2) with ψ φ L () C. Moreover, F ele [φ] = E φ [ψ φ ] = min u A E φ[u].
12 Proof. Direct methods in the calculus of variations and standard regularity theory. Key: the L -bound. [ ε Let u = argmin H 1 0 () I [ ], where I [v] = 2 v 2 + B(v)] dx. Let λ > 0 with B (λ) > 1 and B ( λ) < 1. Define λ if u(x) < λ, u λ (x) = u(x) if u(x) λ, λ if u(x) > λ. Then I [u λ ] I [u] and u λ u a.e.. By the convexity of B, 0 χ {u>λ} [B(u) B(λ)] dx + χ {u< λ} [B(u) B( λ)] dx χ {u>λ} B (λ)(u λ) dx + χ {u< λ} B ( λ)(u + λ) dx = χ { u >λ} u λ dx 0. This implies that u λ a.e.. Q.E.D.
13 Theorem 2. Assume sup k 1 φ k L 4 () <, φ k φ in L 1 (), ψ φk = argmin A E φk [ ] (k = 1, 2,... ), and ψ φ = argmin A E φ [ ]. Then ψ φk ψ φ in H 1 () and E φk [ψ φk ] E φ [ψ φ ]. Proof. It suffices to show that any subsequence of {ψ φk } has a further subsequence that converges to ψ φ in H 1 (). With bounds, {ψ φk } has a subsequence that converges to ˆψ weakly in H 1 (), strongly in L 2 (), and a.e. in. Then ˆψ = ψ φ. Further, use the weak formulations for ψ φk and ψ φ to show that ψ φk ψ φ in H 1 () and E φk [ψ φk ] E φ [ψ φ ]. Q.E.D.
14 Now consider the dielectric boundary force. [ 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 in Heuristics: use δφ as the test function in the weak form of PBE. [ δ φ F ele [φ]δφ = ε (φ) 2 δφ ψ φ 2 ε(φ) ψ φ δ φ ψ φ + ρδ φ ψ φ Hence, 2(φ 1)δφB(ψ φ ) (φ 1) 2 B (ψ φ )δ φ ψ φ ]dx [ ] = ε (φ) 2 ψ φ 2 2(φ 1)B(ψ φ ) δφ dx. δ φ F ele [φ] = ε (φ) 2 ψ φ 2 2(φ 1)B(ψ φ ).
15 Define for any φ L 4 () [ ] 1 f ele (φ) = 2 ε (φ) ψ φ 2 + 2(φ 1)B(ψ φ ) φ, [ ] ε(φ) T ele (φ) = ε(φ) ψ φ ψ φ 2 ψ φ 2 + (φ 1) 2 B(ψ φ ) I. If φ W 1, (), then we have by direct calculations that f ele (φ) = T ele (φ) + ρ ψ φ. If G is open, G, and G C 2 with unit outer normal ν, then we define [ f 0,ele [ G] = 1 ( 1 1 ) ε(χ G ) ψ χg ν 2 2 ε p ε w 1 ] 2 (ε w ε p ) (I ν ν) ψ χg 2 B(ψ χg ) ν.
16 Lemma. If φ W 1, and V Cc 1 (, R 3 ), then f ele (φ) V dx = [T ele (φ) : V ρ ψ φ V ] dx. If φ = χ G with G open, G, C 2, then [ f 0,ele [ G] V ds = Tele (χ G ) : V ρ ψ χg V ] dx. Proof. By direct calculations using the fact that ψ φ is the solution to the BVP of PBE. In particular, for φ = χ G, ε p ψ χg = ρ in G, ε w ψ χg + B (ψ) = ρ in G c, ψ χg G = ψ χg G c ε p ψ χg G ν = ε w ψ χg G c ν Moreover, notice that on G, on G. ψ χg = ( ψ χg ν)ν + (I ν ν) ψ χg on G. Q.E.D.
17 Theorem 3. If sup k 1 φ k L 4 () < and φ k φ a.e., then [ Tele (φ k ) : V ρ ψ φk V ] dx lim k = [ Tele (φ) : V ρ ψ φ V ] dx V C 1 c (, R 3 ). Proof. The key step is to prove ε(φ k ) ψ φk ψ φk dx = lim k Notice that, with ψ k = ψ φk and ψ = ψ φ, ε(φ) ψ φ ψ φ dx. ε(φ k ) ψ k ψ k = ε(φ k ) [( ψ k ψ) ( ψ k ψ) + ψ ( ψ k ψ) + ( ψ k ψ) ψ + ψ ψ]. The result follows from ψ φk ψ φ in H 1 (), φ k φ a.e. in, and the Lebesgue Dominated Convergence Theorem. Q.E.D.
18 Define 3. Convergence of Free Energy F 0 [φ] = P 0 A + γ 0 P (A) + ρ 0 \A U vdw dx + F ele [φ]. Theorem 4. Let ξ k 0. Then Γ-lim k F ξk = F 0 with respect to L 1 ()-convergence. (1) The liminf condition. If φ k φ in L 1 () then lim inf k F ξ k [φ k ] F 0 [φ]. (2) The recovering sequence. For any φ L 1 (φ), there exist φ k L 1 () (k = 1, 2,... ) such that φ k φ in L 1 () and lim sup F ξk [φ k ] F 0 [φ]. k Corollary. There exists G with P (G) < such that F 0 [χ G ] = min φ L 1 () F 0 [φ], which is finite.
19 Proof of Theorem 4. (1) Assume φ k φ a.e. in and {F ξk [φ k ]} converges. Then, [ ξk 2 φ k ] W (φ k ) dx <. ξ k sup k 1 Hence, φ = χ G and φ k χ G in L 2 (). Note that η k (x) := φk (x) 0 2W (t) dt χg a.e., η k = 2W (φ k ) φ k, and sup k 1 η k W 1,1 () <. Hence, P (G) lim inf η k dx k = lim inf 2W (φk ) φ k dx k lim inf k [ ξk 2 φ k ] W (φ k ) dx. ξ k
20 (2) Assume F 0 [φ] <. So, φ = χ G BV () with G. Step 1. Assume G = D with D open, D in C, D in C 2, and H 2 ( D ) = 0. There exist φ k H 1 () such that 0 φ k χ G in, φ k = 1 in G k := {x G : dist(x, G) } ξ k, φ k = 0 in \ G, φ k χ G strongly in L 1 () and a.e. in, [ ξk lim sup k 2 φ k ] W (φ k ) dx P (G). ξ k There exist r 0 > 0 such that N i=1 B(x i, r 0 ) G k G for all k 1. {φ k } is a recovering sequence.
21 Step 2. Assume φ = χ G with 0 < G < and P (G) <. Choose σ k 0 such that B(σ k ) := N i=1 B(x i, σ k ), U 0 on B(σ k ), and 0 < G B(σ k ) < for all k 1. Set Ĝ k = G B(σ k ). Then Ĝk+1 Ĝk and χĝk χ G in L 1 (). So, lim sup F 0 [χĝk ] F 0 [χ G ]. k Fix k 1. There exist open D k,j R 3 (j = 1, 2,... ) satisfying: G k,j := D k,j B(σ k /2); D k,j is C, D k,j is C 2, and H 2 ( D k,j ) = 0; G k,j Ĝk 0; Then lim j F 0[χ Gk,j ] = F 0 [χĝk ], k = 1, 2,...
22 There exist H k = G k,jk such that for all k = 1, 2,... χ Hk χĝk L 1 () < 1/k and F 0 [χ Hk ] F 0 [χĝk ] < 1/k. Since χĝk χ G in L 1 (), we further have lim χ H k χ G L k 1 () = 0 and lim sup F 0 [χ Hk ] F 0 [χ G ]. k By Step 1, we can find for each k 1 a recovering sequence {φ k,l } l=1 for χ H k. Finally, a subsequence {φ k,lk } is a recovering sequence for χ G. Q.E.D.
23 Theorem 5. If φ k χ G a.e., and F ξk [φ k ] F 0 [χ G ] R, then lim φ 2 kdx = G, k [ ξk lim k 2 φ k ] W (φ k ) dx = P (G), ξ k (φ k 1) 2 U vdw dx = U vdw dx, lim k \G lim F ele[φ k ] = F ele [χ G ]. k Proof. We have lim k a k = a and lim k b k = b, provided that lim (a k+b k ) = a+b, lim inf a k a 0 and lim inf b k b 0. k k k We have also that [ ξk lim inf k 2 φ k ] W (φ k ) dx P (G), ξ k lim inf (φ k 1) 2 U vdw dx χ \G U vdw dx. Q.E.D. k {U vdw >0} {U vdw >0}
24 Phase-field forces 4. Convergence of Force f vol (φ) = 2P 0 φ φ, f ξ,sur (φ) = γ 0 [ ξ φ + 1 ] ξ W (φ) φ, f vdw (φ) = 2ρ 0 (φ 1)U vdw φ, in \ {x 1,..., x N } [ ] f ele (φ) = ε (φ) 2 ψ φ 2 2(φ 1)B(ψ φ ) φ. Phase-field stresses T vol (φ) = P 0 φ 2 I, {[ ξ T ξ,sur (φ) = γ 0 2 φ ] } ξ W (φ) I ξ φ φ, T vdw (φ) = ρ 0 (φ 1) 2 U vdw I, T ele (φ) = ε(φ) ψ φ ψ φ [ ] ε(φ) 2 ψ φ 2 + (φ 1) 2 B(ψ φ ) I.
25 Lemma. We have for almost all points in that f vol (φ) = T vol (φ) if φ H 1 (), f ξ,sur (φ) = T ξ,sur (φ) if φ H 2 (), f vdw (φ) = T vdw (φ) ρ 0 (φ 1) 2 U vdw if φ H 1 (), f ele (φ) = T ele (φ) + ρ ψ φ if φ W 1, (). Moreover, we have for any V Cc 1 (, R 3 ) that f vol (φ) V dx = T vol (φ) : V dx if φ H 1 (), f ξ,sur (φ) V dx = T ξ,sur (φ) : V dx if φ H 2 (), [ f vdw (φ) V dx = TvdW (φ) : V + ρ 0 (φ 1) 2 U vdw V ] dx if {x 1,..., x N } supp (V ) = and φ H 1 (), f ele (φ) V dx = [T ele (φ) : V ρ ψ φ V ] dx if φ W 1, ().
26 Sharp-interface forces: Let G be open with G, G in C 2, x i G (i = 1,..., N), and ν the unit outer normal of G. Define f 0,vol [ G] = P 0 ν, f 0,sur [ G] = 2γ 0 Hν, f 0,vdW [ G] = ρ 0 U vdw ν, [ f 0,ele [ G] = 1 2 ( 1 ε p 1 ε w ) ε(χ G ) ψ χg ν 2 1 ] 2 (ε w ε p ) (I ν ν) ψ χg 2 B(ψ χg ) ν.
27 Lemma. We have for any V Cc 1 (, R 3 ) that f 0,vol [ G] V ds = T vol (χ G ) : V dx, G f 0,sur [ G] V ds = γ 0 (I ν ν) : V ds, G G f 0,vdW [ G] V ds = [T vdw (χ G ) : V G G +ρ 0 (1 χ G ) 2 U vdw V ] dx if {x 1,..., x N } supp (V ) =, f 0,ele [ G] V ds = [T ele (χ G ) : V ρ ψ χg V ] dx.
28 Theorem 6. Let G, P (G) <, F 0 [χ G ] is finite, φ k χ G a.e. in, and F ξk [φ k ] F 0 [χ G ]. Then, for any V Cc 1 (, R 3 ), lim T vol (φ k ) : V dx = T vol (χ G ) : V dx, k lim T ξk,sur(φ k ) : V dx = γ 0 (I ν ν) : V dh 2, k G [ (TvdW (φ k ) : V + ρ 0 (φ k 1) 2 U vdw V ] dx lim k = [ TvdW (χ G ) : V + ρ 0 (χ G 1) 2 U vdw V ] dx if {x 1,..., x N } supp (V ) =, lim [T ele (φ k ) : V ρ ψ φk V ] dx k = [T ele (χ G ) : V ρ ψ χg V ] dx. Proof. Each component of energy converges. Then, the key is the convergence of the surface energy. Q.E.D.
29 Force convergence for the van der Waals Cahn Hilliard functional. Theorem 7. Let R n be bounded and open. Let G, P (G) <, φ k χ G a.e. in, and [ ξk lim k 2 φ k ] W (φ k ) dx = P (G). ξ k Then we have for any Ψ C c (, R n n ) that T ξk (φ k ) : Ψ dx = (I ν ν) : Ψ dh n 1. lim k If, in addition, all φ k W 2,2 (), G is open, and G is of C 2, then [ lim ξ k φ k + 1 ] W (φ k ) φ k V dx k ξ k = (n 1) Hν V ds V Cc 1 (, R n ). G G
30 Remark. Energy convergence is necessary. Proof. Asymptotic equipartition of energy: lim k lim k 2 ξk 2 φ W (φ k ) k dx = 0, ξ k k ξ 2 φ k 2 1 W (φ k ) ξ k dx = 0. Need only to prove that for any Ψ C c (, R n n ) T ξk (φ k ) : Ψ dx = (I ν ν) : Ψ dh n 1. lim k G
31 If suffices to prove that for any Ψ C c (, R n n ) ξ k φ k φ k : Ψ dx = ν ν : Ψ dh n 1. lim k G Assume this is true. Notice for any a R n that a 2 = a a : I. Then (I : Ψ)I C c (, R n n ). Hence, [ ξk lim k 2 φ k ] W (φ k ) I : Ψ dx ξ k = lim ξ k φ k 2 I : Ψ dx k = lim ξ k φ k φ k : (I : Ψ)I dx k = ν ν : (I : Ψ)I dh n 1 G = I : Ψ dh n 1. G
32 Fix Ψ C c (, R n n ) and prove now ξ k φ k φ k : Ψ dx = lim k G ν ν : Ψ dh n 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 Hn 1 (K j ) = H n 1 ( G) = G () = P (G) <. Choose J so that j=j+1 Hn 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 : U j R to be the signed distance to S j, and zero-extend d j 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 j C c (, R n ). Define ν J : R n by ν J = J j=1 ζ j d j. Note that ν j C c (, R n ), ν j 1 on, and ν j = ν on each K j (1 j J).
33 We rewrite ξ k φ k φ k as ( ξ k φ k φ k = ξk φ k + ) ξ k φ k ν J ξ k φ k ( 2W (φ k ) + ) ξ k φ k ν J ξ k φ k ξ k ν J 2W (φ k ) φ k. Finally, lim sup ξ k φ k φ k : Ψ dx ν ν : Ψ dh n 1 k G ( 4σ sup ) L ξ k φ k Ψ L 2 () () + 2σ Ψ L (). k 1 This completes the proof. Q.E.D.
34 5. Convergence of Interface Matched asymptotic analysis of the relaxation dynamics t φ = δ φ F ξ [φ] : t φ = 2P 0 φ + γ 0 [ξ φ 1 ] ξ W (φ) 2ρ 0 (φ 1)U vdw ε (φ) ψ φ 2 + 2(φ 1)B(ψ φ ), ε(φ) ψ φ (φ 1) 2 B (ψ φ ) = ρ, φ = 0 ψ = ψ on, on. Fast time scale. Instantaneous electrostatic relaxation. Perturb the unstable equilibrium φ 0 (x) = 1/2 of t φ = ξ φ 1 ξ W (φ) The most unstable mode is k c = 0. The fastest growth rate is ω(k c ) = O(1/ξ). So, the fast time scale is T = t/ξ.
35 Fast time scale. Assume T = t/ξ and φ(x, t) = φ 0 (x, T ) + ξφ 1 (x, T ) + ξ 2 φ 2 (x, T ) +, ψ(x, t) = ψ 0 (x, T ) + ξψ 1 (x, T ) + ξ 2 ψ 2 (x, T ) +, φ i = 0 (i 0), ψ 0 = ψ, and ψ i = 0 (i 1) on. Plug these into the governing equations and group terms with the same order of ξ to get T φ 0 = γ 0 W (φ 0 ) : x, φ 0 (x, T ) 0 or 1 exponentially as T, ε(φ 0 ) ψ 0 (φ 0 1) 2 B (ψ 0 ) = ρ. Conclusion: Quickly, the system is partitioned into two regions of different dielectric coefficient, and the electrostatics is relaxed.
36 Regular time scale. Assume φ(x, t) = φ 0 (x, t) + ξφ 1 (x, t) + ξ 2 φ 2 (x, t) +, ψ(x, t) = ψ 0 (x, t) + ξψ 1 (x, t) + ξ 2 ψ 2 (x, t) +, φ i = 0 (i 0), ψ 0 = ψ, and ψ i = 0 (i 1) on. Leading order equations W (φ 0 ) = 0, t φ 0 = 2P 0 φ 0 γ 0 W (φ 0 )φ 1 2ρ 0 (φ 0 1)U vdw ε (φ 0 ) ψ (φ 0 1)B(ψ 0 ), ε(φ 0 ) ψ 0 (φ 0 1) 2 B (ψ 0 ) = ρ. Consequences: (1) φ 0 = 0 or 1; (2) {φ 0 = 0} by the BC; and (3) {φ 0 = 1} by the property of U vdw and second equation. Conclusion: These expansions do not hold in the entire region.
37 Assumptions The entire region is the union of an outer and inner region. The outer region is the union of + ξ (t) := {φ(x, t) 1} and (t) := {φ(x, t) 0}. ξ The inner region is a thin layer of width O(ξ) that centers around Γ ξ (t) = {x : φ(x, t) = 1/2} enclosing + ξ (t). This interface is O(ξ)-close to a smooth interface Γ(t) that is independent of ξ. The inner and outer solutions match asymptotically.
38 Local coordinates for a point x in the inter region: x = Φ(y, t) + ξz(t)n(y, t). Φ(, t) : Q(t) Γ ξ (t) a smooth, principal-curvature parameterization, and Q(t) R 3 is an O(ξ)-neighborhood of Γ ξ (t) and Γ(t). z(t) = s(x, t)/ξ with s(x, t) = ±dist (x, Γ ξ (t)). n(y, t) = x s(x, t) is the unit normal to Γ ξ (t) at Φ(y, t). The normal velocity is v(y, t) = t Φ(y, t) n(y, t). The mean curvature is H(y, t) = y n(y, t)/2.
39 Assume the inner expansions φ(x, t) = φ 0 (z, y, t) + ξ φ 1 (z, y, t) + ξ 2 φ2 (z, y, t) +, ψ(x, t) = ψ 0 (z, y, t) + ξ ψ 1 (z, y, t) + ξ 2 ψ2 (z, y, t) +. Leading order equations: z ψ 0 = 0 and v z φ 0 = γ 0 [ zz 2 φ ] 0 W ( φ 0 ). Matching conditions: φ 0 ( ) = 1, φ 0 ( ) = 0, and z φ 0 (± ) = 0. Hence ( ) [ ] 2 1 v z φ 0 dz = γ0 2 ( z φ z= 0 ) 2 W ( φ 0 ) = 0. z= Therefore v = 0. Conclusion: To the leading order, the interface does not move at this time scale.
40 Slow time scale: τ = ξt. Outer expansions W (φ 0 ) = 0, Use the local coordinate ε(φ 0 ) ψ 0 (φ 0 1) 2 B (ψ 0 ) = ρ. x = Φ(y, τ) + ξz(τ)n(y, τ) to assume the local inner expansions φ(x, t) = φ 0 (z, y, τ) + ξ φ 1 (z, y, τ) + ξ 2 φ 2 (z, y, τ) +, ψ(x, t) = ψ 0 (z, y, τ) + ξ ψ 1 (z, y, τ) + ξ 2 ψ 2 (z, y, τ) +. Also, expand U vdw (x) = U vdw (Φ(y), τ) + O(ξ) = Ũ 0 (y, τ) + O(ξ).
41 Leading order equations 0 = z ψ0, 0 = 2 zz φ 0 W ( φ 0 ), v z φ 0 = 2P 0 φ 0 + γ 0 [ 2H φ zz φ 1 W ( φ 0 ) φ 1 ] 2ρ 0 ( φ 0 1)Ũ ε ( φ 0 ) [ ] z ε( φ 0 ) z ψ 1 = 0. Matching conditions lim φ 0 (z, y, τ) = φ ± z ± 0 (x, τ), ψ 0 (z, y, τ) = ψ 0 ± (x, τ), lim z ± ψ 1 (z, y, τ) = ( ψ ± 1 + z ψ± 0 s) (x, τ) + o(1) We have then φ 0 (z, y, τ) = φ 0 (z) = 0.5 [1 + tanh(3z)], z ψ 1 (z, y, τ) = ψ 0 ± (x, τ) s(x, τ) + o(1) [ Γ(τ) ψ0 2 + ( z ψ1 ) 2] + 2( φ 0 1)B( ψ 0 ), as z ±. as z ±.
42 First and fourth equations imply ψ 0 = ψ+ 0 and ε w ψ 0 n = ε p ψ + 0 n on Γ(τ). Thus, ψ 0 is a solution to the BVP of PBE. Multiply the v equation by z ψ 0 and integrate against z to get vs = S := R 1 (z) φ 0(z)dz + [ ] 2 φ 0(z) dz = 1, R 2 (z) φ 0(z)dz + R 1 (z) := 2P 0 φ0 2ρ 0 ( φ 0 1)Ũ0 + 2( φ 0 1)B( ψ 0 ), [ R 2 (z) := γ 0 2H z φ 0 + zz 2 φ ] 1 W ( φ 0 ) φ 1, R 3 (z) := 1 [ 2 ε ( φ 0 ) Γ(τ) ψ ( z ψ 1 ) 2]. R 3 (z) φ 0(z)dz,
43 Integration by parts and matching conditions imply R 1 (z) φ 0(z) dz = P 0 + ρ 0 U vdw B(ψ 0 ), R 2 (z) φ 0(z)dz = 2γ 0 H. Using in addition the interface conditions for ψ 0 on Γ(τ) to obtain Finally, the normal velocity is R 3 (z) φ 0(z) dz = 1 2 (ε p ε w ) Γ(τ) ψ ( 1 1 ) ε 2 ε w ε Γ(τ) ψ 0 n 2. p v = P 0 2γ 0 H ρ 0 U vdw (ε w ε p Γ(τ) ψ B(ψ 0 ). ( 1 1 ) ε ε p ε Γ(τ) ψ 0 n 2 w Exactly the same as in the sharp-interface model!
44 References [1] B. Li, X. Cheng, & Z. Zhang, Dielectric boundary force in molecular solvation with the Poisson Boltzmann free energy: A shape derivative approach, SIAM J. Applied Math., 71, , [2] B. Li & Y. Zhao, Variational implicit solvation with solute molecular mechanics: From diffuse-interface to sharp-interface models, SIAM J. Applied Math., 73, 1 23, [3] Y. Zhao, Y.-Y. Kwan, J. Che, B. Li, & J. A. McCammon, Phase-field approach to implicit solvation of biomolecules with Coulomb-field approximation, J. Chem. Phys., 139, , [4] B. Li & Y. Liu, Diffused solute-solvent interface with Poisson Boltzmann electrostatics: Free-energy variation and sharp-interface limit, SIAM J. Applied Math, 75, , [5] H. Sun, J. Wen, Y. Zhao, B. Li, & J. A. McCammon, A self-consistent phase-field approach to implicit solvation of charged molecules with Poisson Boltzmann electrostatics, J. Chem. Phys., 143, , [6] S. Dai, B. Li, & J. Liu, Convergence of phase-field free energy and boundary force for molecular solvation, 2016 (submitted).
45 Thank you!
Phase-Field Force Convergence
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
Example Sheet 3 Solutions
Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note
Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit
Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal
Uniform Convergence of Fourier Series Michael Taylor
Uniform Convergence of Fourier Series Michael Taylor Given f L 1 T 1 ), we consider the partial sums of the Fourier series of f: N 1) S N fθ) = ˆfk)e ikθ. k= N A calculation gives the Dirichlet formula
ST5224: Advanced Statistical Theory II
ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known
Every set of first-order formulas is equivalent to an independent set
Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent
HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:
HOMEWORK 4 Problem a For the fast loading case, we want to derive the relationship between P zz and λ z. We know that the nominal stress is expressed as: P zz = ψ λ z where λ z = λ λ z. Therefore, applying
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)
Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: F3B, F4Sy, NVP 2005-03-08 Skrivtid: 9 14 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok
Statistical Inference I Locally most powerful tests
Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided
Partial Differential Equations in Biology The boundary element method. March 26, 2013
The boundary element method March 26, 203 Introduction and notation The problem: u = f in D R d u = ϕ in Γ D u n = g on Γ N, where D = Γ D Γ N, Γ D Γ N = (possibly, Γ D = [Neumann problem] or Γ N = [Dirichlet
Areas and Lengths in Polar Coordinates
Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the
Dielectric Boundary Forces in Variational Implicit-Solvent Modeling of Biomolecules
Dielectric Boundary Forces in Variational Implicit-Solvent Modeling of Biomolecules Bo Li Department of Mathematics and NSF Center for Theoretical Biological Physics UC San Diego Collaborators: Hsiao-Bing
C.S. 430 Assignment 6, Sample Solutions
C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order
Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)
Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts
Fractional Colorings and Zykov Products of graphs
Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is
Areas and Lengths in Polar Coordinates
Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the
Solutions to Exercise Sheet 5
Solutions to Eercise Sheet 5 jacques@ucsd.edu. Let X and Y be random variables with joint pdf f(, y) = 3y( + y) where and y. Determine each of the following probabilities. Solutions. a. P (X ). b. P (X
2 Composition. Invertible Mappings
Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,
CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS
CHAPTER 5 SOLVING EQUATIONS BY ITERATIVE METHODS EXERCISE 104 Page 8 1. Find the positive root of the equation x + 3x 5 = 0, correct to 3 significant figures, using the method of bisection. Let f(x) =
Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.
Exercises 0 More exercises are available in Elementary Differential Equations. If you have a problem to solve any of them, feel free to come to office hour. Problem Find a fundamental matrix of the given
Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1
Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test
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.
Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequalit for metrics: Let (X, d) be a metric space and let x,, z X. Prove that d(x, z) d(, z) d(x, ). (ii): Reverse triangle inequalit for norms:
Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics
Fourier Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Introduction Not all functions can be represented by Taylor series. f (k) (c) A Taylor series f (x) = (x c)
EE512: Error Control Coding
EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3
3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β
3.4 SUM AND DIFFERENCE FORMULAS Page Theorem cos(αβ cos α cos β -sin α cos(α-β cos α cos β sin α NOTE: cos(αβ cos α cos β cos(α-β cos α -cos β Proof of cos(α-β cos α cos β sin α Let s use a unit circle
Section 8.3 Trigonometric Equations
99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.
ECE Spring Prof. David R. Jackson ECE Dept. Notes 2
ECE 634 Spring 6 Prof. David R. Jackson ECE Dept. Notes Fields in a Source-Free Region Example: Radiation from an aperture y PEC E t x Aperture Assume the following choice of vector potentials: A F = =
1 String with massive end-points
1 String with massive end-points Πρόβλημα 5.11:Θεωρείστε μια χορδή μήκους, τάσης T, με δύο σημειακά σωματίδια στα άκρα της, το ένα μάζας m, και το άλλο μάζας m. α) Μελετώντας την κίνηση των άκρων βρείτε
Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3
Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all
Higher Derivative Gravity Theories
Higher Derivative Gravity Theories Black Holes in AdS space-times James Mashiyane Supervisor: Prof Kevin Goldstein University of the Witwatersrand Second Mandelstam, 20 January 2018 James Mashiyane WITS)
Homework 8 Model Solution Section
MATH 004 Homework Solution Homework 8 Model Solution Section 14.5 14.6. 14.5. Use the Chain Rule to find dz where z cosx + 4y), x 5t 4, y 1 t. dz dx + dy y sinx + 4y)0t + 4) sinx + 4y) 1t ) 0t + 4t ) sinx
D Alembert s Solution to the Wave Equation
D Alembert s Solution to the Wave Equation MATH 467 Partial Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Objectives In this lesson we will learn: a change of variable technique
Second Order Partial Differential Equations
Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y
Local Approximation with Kernels
Local Approximation with Kernels Thomas Hangelbroek University of Hawaii at Manoa 5th International Conference Approximation Theory, 26 work supported by: NSF DMS-43726 A cubic spline example Consider
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
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 : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that
Lecture 34 Bootstrap confidence intervals
Lecture 34 Bootstrap confidence intervals Confidence Intervals θ: an unknown parameter of interest We want to find limits θ and θ such that Gt = P nˆθ θ t If G 1 1 α is known, then P θ θ = P θ θ = 1 α
Reminders: linear functions
Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U
derivation of the Laplacian from rectangular to spherical coordinates
derivation of the Laplacian from rectangular to spherical coordinates swapnizzle 03-03- :5:43 We begin by recognizing the familiar conversion from rectangular to spherical coordinates (note that φ is used
Other Test Constructions: Likelihood Ratio & Bayes Tests
Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :
A Note on Intuitionistic Fuzzy. Equivalence Relation
International Mathematical Forum, 5, 2010, no. 67, 3301-3307 A Note on Intuitionistic Fuzzy Equivalence Relation D. K. Basnet Dept. of Mathematics, Assam University Silchar-788011, Assam, India dkbasnet@rediffmail.com
Finite Field Problems: Solutions
Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The
4.6 Autoregressive Moving Average Model ARMA(1,1)
84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this
Approximation of dynamic boundary condition: The Allen Cahn equation
1 Approximation of dynamic boundary condition: The Allen Cahn equation Matthias Liero I.M.A.T.I. Pavia and Humboldt-Universität zu Berlin 6 th Singular Days 2010 Berlin Introduction Interfacial dynamics
Matrices and Determinants
Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z
Lecture 21: Properties and robustness of LSE
Lecture 21: Properties and robustness of LSE BLUE: Robustness of LSE against normality We now study properties of l τ β and σ 2 under assumption A2, i.e., without the normality assumption on ε. From Theorem
Parametrized Surfaces
Parametrized Surfaces Recall from our unit on vector-valued functions at the beginning of the semester that an R 3 -valued function c(t) in one parameter is a mapping of the form c : I R 3 where I is some
New bounds for spherical two-distance sets and equiangular lines
New bounds for spherical two-distance sets and equiangular lines Michigan State University Oct 8-31, 016 Anhui University Definition If X = {x 1, x,, x N } S n 1 (unit sphere in R n ) and x i, x j = a
The Pohozaev identity for the fractional Laplacian
The Pohozaev identity for the fractional Laplacian Xavier Ros-Oton Departament Matemàtica Aplicada I, Universitat Politècnica de Catalunya (joint work with Joaquim Serra) Xavier Ros-Oton (UPC) The Pohozaev
Chapter 6: Systems of Linear Differential. be continuous functions on the interval
Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations
ORDINAL ARITHMETIC JULIAN J. SCHLÖDER
ORDINAL ARITHMETIC JULIAN J. SCHLÖDER Abstract. We define ordinal arithmetic and show laws of Left- Monotonicity, Associativity, Distributivity, some minor related properties and the Cantor Normal Form.
12. Radon-Nikodym Theorem
Tutorial 12: Radon-Nikodym Theorem 1 12. Radon-Nikodym Theorem In the following, (Ω, F) is an arbitrary measurable space. Definition 96 Let μ and ν be two (possibly complex) measures on (Ω, F). We say
SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions
SCHOOL OF MATHEMATICAL SCIENCES GLMA Linear Mathematics 00- Examination Solutions. (a) i. ( + 5i)( i) = (6 + 5) + (5 )i = + i. Real part is, imaginary part is. (b) ii. + 5i i ( + 5i)( + i) = ( i)( + i)
Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013
Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering
Finite difference method for 2-D heat equation
Finite difference method for 2-D heat equation Praveen. C praveen@math.tifrbng.res.in Tata Institute of Fundamental Research Center for Applicable Mathematics Bangalore 560065 http://math.tifrbng.res.in/~praveen
Sequent Calculi for the Modal µ-calculus over S5. Luca Alberucci, University of Berne. Logic Colloquium Berne, July 4th 2008
Sequent Calculi for the Modal µ-calculus over S5 Luca Alberucci, University of Berne Logic Colloquium Berne, July 4th 2008 Introduction Koz: Axiomatisation for the modal µ-calculus over K Axioms: All classical
Forced Pendulum Numerical approach
Numerical approach UiO April 8, 2014 Physical problem and equation We have a pendulum of length l, with mass m. The pendulum is subject to gravitation as well as both a forcing and linear resistance force.
Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.
Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο The time integral of a force is referred to as impulse, is determined by and is obtained from: Newton s 2 nd Law of motion states that the action
Concrete Mathematics Exercises from 30 September 2016
Concrete Mathematics Exercises from 30 September 2016 Silvio Capobianco Exercise 1.7 Let H(n) = J(n + 1) J(n). Equation (1.8) tells us that H(2n) = 2, and H(2n+1) = J(2n+2) J(2n+1) = (2J(n+1) 1) (2J(n)+1)
Iterated trilinear fourier integrals with arbitrary symbols
Cornell University ICM 04, Satellite Conference in Harmonic Analysis, Chosun University, Gwangju, Korea August 6, 04 Motivation the Coifman-Meyer theorem with classical paraproduct(979) B(f, f )(x) :=
Congruence Classes of Invertible Matrices of Order 3 over F 2
International Journal of Algebra, Vol. 8, 24, no. 5, 239-246 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/.2988/ija.24.422 Congruence Classes of Invertible Matrices of Order 3 over F 2 Ligong An and
Homework 3 Solutions
Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For
SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018
Journal of rogressive Research in Mathematics(JRM) ISSN: 2395-028 SCITECH Volume 3, Issue 2 RESEARCH ORGANISATION ublished online: March 29, 208 Journal of rogressive Research in Mathematics www.scitecresearch.com/journals
Srednicki Chapter 55
Srednicki Chapter 55 QFT Problems & Solutions A. George August 3, 03 Srednicki 55.. Use equations 55.3-55.0 and A i, A j ] = Π i, Π j ] = 0 (at equal times) to verify equations 55.-55.3. This is our third
5. Choice under Uncertainty
5. Choice under Uncertainty Daisuke Oyama Microeconomics I May 23, 2018 Formulations von Neumann-Morgenstern (1944/1947) X: Set of prizes Π: Set of probability distributions on X : Preference relation
b. Use the parametrization from (a) to compute the area of S a as S a ds. Be sure to substitute for ds!
MTH U341 urface Integrals, tokes theorem, the divergence theorem To be turned in Wed., Dec. 1. 1. Let be the sphere of radius a, x 2 + y 2 + z 2 a 2. a. Use spherical coordinates (with ρ a) to parametrize.
Arithmetical applications of lagrangian interpolation. Tanguy Rivoal. Institut Fourier CNRS and Université de Grenoble 1
Arithmetical applications of lagrangian interpolation Tanguy Rivoal Institut Fourier CNRS and Université de Grenoble Conference Diophantine and Analytic Problems in Number Theory, The 00th anniversary
Appendix to On the stability of a compressible axisymmetric rotating flow in a pipe. By Z. Rusak & J. H. Lee
Appendi to On the stability of a compressible aisymmetric rotating flow in a pipe By Z. Rusak & J. H. Lee Journal of Fluid Mechanics, vol. 5 4, pp. 5 4 This material has not been copy-edited or typeset
The challenges of non-stable predicates
The challenges of non-stable predicates Consider a non-stable predicate Φ encoding, say, a safety property. We want to determine whether Φ holds for our program. The challenges of non-stable predicates
Tridiagonal matrices. Gérard MEURANT. October, 2008
Tridiagonal matrices Gérard MEURANT October, 2008 1 Similarity 2 Cholesy factorizations 3 Eigenvalues 4 Inverse Similarity Let α 1 ω 1 β 1 α 2 ω 2 T =......... β 2 α 1 ω 1 β 1 α and β i ω i, i = 1,...,
Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) =
Mock Eam 7 Mock Eam 7 Section A. Reference: HKDSE Math M 0 Q (a) ( + k) n nn ( )( k) + nk ( ) + + nn ( ) k + nk + + + A nk... () nn ( ) k... () From (), k...() n Substituting () into (), nn ( ) n 76n 76n
F19MC2 Solutions 9 Complex Analysis
F9MC Solutions 9 Complex Analysis. (i) Let f(z) = eaz +z. Then f is ifferentiable except at z = ±i an so by Cauchy s Resiue Theorem e az z = πi[res(f,i)+res(f, i)]. +z C(,) Since + has zeros of orer at
Approximation of distance between locations on earth given by latitude and longitude
Approximation of distance between locations on earth given by latitude and longitude Jan Behrens 2012-12-31 In this paper we shall provide a method to approximate distances between two points on earth
9.09. # 1. Area inside the oval limaçon r = cos θ. To graph, start with θ = 0 so r = 6. Compute dr
9.9 #. Area inside the oval limaçon r = + cos. To graph, start with = so r =. Compute d = sin. Interesting points are where d vanishes, or at =,,, etc. For these values of we compute r:,,, and the values
Chapter 6: Systems of Linear Differential. be continuous functions on the interval
Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations
( y) Partial Differential Equations
Partial Dierential Equations Linear P.D.Es. contains no owers roducts o the deendent variables / an o its derivatives can occasionall be solved. Consider eamle ( ) a (sometimes written as a ) we can integrate
Math221: HW# 1 solutions
Math: HW# solutions Andy Royston October, 5 7.5.7, 3 rd Ed. We have a n = b n = a = fxdx = xdx =, x cos nxdx = x sin nx n sin nxdx n = cos nx n = n n, x sin nxdx = x cos nx n + cos nxdx n cos n = + sin
k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +
Chapter 3. Fuzzy Arithmetic 3- Fuzzy arithmetic: ~Addition(+) and subtraction (-): Let A = [a and B = [b, b in R If x [a and y [b, b than x+y [a +b +b Symbolically,we write A(+)B = [a (+)[b, b = [a +b
ES440/ES911: CFD. Chapter 5. Solution of Linear Equation Systems
ES440/ES911: CFD Chapter 5. Solution of Linear Equation Systems Dr Yongmann M. Chung http://www.eng.warwick.ac.uk/staff/ymc/es440.html Y.M.Chung@warwick.ac.uk School of Engineering & Centre for Scientific
Homomorphism in Intuitionistic Fuzzy Automata
International Journal of Fuzzy Mathematics Systems. ISSN 2248-9940 Volume 3, Number 1 (2013), pp. 39-45 Research India Publications http://www.ripublication.com/ijfms.htm Homomorphism in Intuitionistic
Bounding Nonsplitting Enumeration Degrees
Bounding Nonsplitting Enumeration Degrees Thomas F. Kent Andrea Sorbi Università degli Studi di Siena Italia July 18, 2007 Goal: Introduce a form of Σ 0 2-permitting for the enumeration degrees. Till now,
DERIVATION OF MILES EQUATION FOR AN APPLIED FORCE Revision C
DERIVATION OF MILES EQUATION FOR AN APPLIED FORCE Revision C By Tom Irvine Email: tomirvine@aol.com August 6, 8 Introduction The obective is to derive a Miles equation which gives the overall response
de Rham Theorem May 10, 2016
de Rham Theorem May 10, 2016 Stokes formula and the integration morphism: Let M = σ Σ σ be a smooth triangulated manifold. Fact: Stokes formula σ ω = σ dω holds, e.g. for simplices. It can be used to define
Section 7.6 Double and Half Angle Formulas
09 Section 7. Double and Half Angle Fmulas To derive the double-angles fmulas, we will use the sum of two angles fmulas that we developed in the last section. We will let α θ and β θ: cos(θ) cos(θ + θ)
6.3 Forecasting ARMA processes
122 CHAPTER 6. ARMA MODELS 6.3 Forecasting ARMA processes The purpose of forecasting is to predict future values of a TS based on the data collected to the present. In this section we will discuss a linear
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)
Online Appendix I Appendix D Additional Existence Proofs Denote B q = {q : A E A S [0, +r ]}, Bψ = {ψ : Y E A S S}, B W = {W : I E A S R}. I slightly abuse the notation by defining B q (L q ) the subset
Lecture 12: Pseudo likelihood approach
Lecture 12: Pseudo likelihood approach Pseudo MLE Let X 1,...,X n be a random sample from a pdf in a family indexed by two parameters θ and π with likelihood l(θ,π). The method of pseudo MLE may be viewed
1. (a) (5 points) Find the unit tangent and unit normal vectors T and N to the curve. r(t) = 3cost, 4t, 3sint
1. a) 5 points) Find the unit tangent and unit normal vectors T and N to the curve at the point P, π, rt) cost, t, sint ). b) 5 points) Find curvature of the curve at the point P. Solution: a) r t) sint,,
1. Introduction and Preliminaries.
Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.yu/filomat Filomat 22:1 (2008), 97 106 ON δ SETS IN γ SPACES V. Renuka Devi and D. Sivaraj Abstract We
Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------
Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin
= {{D α, D α }, D α }. = [D α, 4iσ µ α α D α µ ] = 4iσ µ α α [Dα, D α ] µ.
PHY 396 T: SUSY Solutions for problem set #1. Problem 2(a): First of all, [D α, D 2 D α D α ] = {D α, D α }D α D α {D α, D α } = {D α, D α }D α + D α {D α, D α } (S.1) = {{D α, D α }, D α }. Second, {D
A Two-Sided Laplace Inversion Algorithm with Computable Error Bounds and Its Applications in Financial Engineering
Electronic Companion A Two-Sie Laplace Inversion Algorithm with Computable Error Bouns an Its Applications in Financial Engineering Ning Cai, S. G. Kou, Zongjian Liu HKUST an Columbia University Appenix
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
Pg. 9. The perimeter is P = The area of a triangle is A = bh where b is the base, h is the height 0 h= btan 60 = b = b In our case b =, then the area is A = = 0. By Pythagorean theorem a + a = d a a =
The Simply Typed Lambda Calculus
Type Inference Instead of writing type annotations, can we use an algorithm to infer what the type annotations should be? That depends on the type system. For simple type systems the answer is yes, and
The semiclassical Garding inequality
The semiclassical Garding inequality We give a proof of the semiclassical Garding inequality (Theorem 4.1 using as the only black box the Calderon-Vaillancourt Theorem. 1 Anti-Wick quantization For (q,
Solution Series 9. i=1 x i and i=1 x i.
Lecturer: Prof. Dr. Mete SONER Coordinator: Yilin WANG Solution Series 9 Q1. Let α, β >, the p.d.f. of a beta distribution with parameters α and β is { Γ(α+β) Γ(α)Γ(β) f(x α, β) xα 1 (1 x) β 1 for < x
Limit theorems under sublinear expectations and probabilities
Limit theorems under sublinear expectations and probabilities Xinpeng LI Shandong University & Université Paris 1 Young Researchers Meeting on BSDEs, Numerics and Finance 4 July, Oxford 1 / 25 Outline
Exercises to Statistics of Material Fatigue No. 5
Prof. Dr. Christine Müller Dipl.-Math. Christoph Kustosz Eercises to Statistics of Material Fatigue No. 5 E. 9 (5 a Show, that a Fisher information matri for a two dimensional parameter θ (θ,θ 2 R 2, can
Second Order RLC Filters
ECEN 60 Circuits/Electronics Spring 007-0-07 P. Mathys Second Order RLC Filters RLC Lowpass Filter A passive RLC lowpass filter (LPF) circuit is shown in the following schematic. R L C v O (t) Using phasor
Strain gauge and rosettes
Strain gauge and rosettes Introduction A strain gauge is a device which is used to measure strain (deformation) on an object subjected to forces. Strain can be measured using various types of devices classified
forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with
Week 03: C lassification of S econd- Order L inear Equations In last week s lectures we have illustrated how to obtain the general solutions of first order PDEs using the method of characteristics. We