Schrödinger problem and W 2 -geodesics

Size: px
Start display at page:

Download "Schrödinger problem and W 2 -geodesics"

Transcription

1 Schrödinger problem and W 2 -geodesics join work wih Nicola Gigli Luca Tamanini Universié Paris Nanerre SISSA En l honneur de P. Caiaux e C. Léonard Toulouse, le 7 juin 2017 L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

2 Firs order differeniaion formula Theorem (Gigli 13) Le (X, d, m) be a RCD(K, ) space; (µ ) a W 2 -geodesic wih µ 0, µ 1 Cm; f W 1,2 (X ). Then f dµ is C 1 ([0, 1]) and d d f dµ = f, φ dµ where (φ ) W 1,2 (X ) is any coninuous choice of locally Lipschiz funcions such ha µ + div( φ µ ) = 0. L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

3 Aim Le (X, d, m) be a RCD (K, N) space; (µ ) a W 2 -geodesic wih µ 0, µ 1 Cm; f W 2,2 (X ). Quesion: can we say ha f dµ is C 2 ([0, 1]) and d 2 d 2 f dµ = Hess(f )( φ, φ )dµ where (φ ) W 1,2 (X ) is any coninuous choice of locally Lipschiz funcions such ha µ + div( φ µ ) = 0? L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

4 Aim Le (X, d, m) be a RCD (K, N) space; (µ ) a W 2 -geodesic wih µ 0, µ 1 Cm; f W 2,2 (X ). Quesion: can we say ha f dµ is C 2 ([0, 1]) and d 2 d 2 f dµ = Hess(f )( φ, φ )dµ where (φ ) W 1,2 (X ) is any coninuous choice of locally Lipschiz funcions such ha µ + div( φ µ ) = 0? L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

5 Geodesics in (P 2 (X ), W 2 ) A W 2 -geodesic (µ ) on P 2 (X ) solves for funcions (φ ) such ha µ + div( φ µ ) = 0 φ φ 2 = 0 Problem: no maer how nice µ 0, µ 1 are, in general he φ s are only semiconcave. Quesion: given a geodesic (µ ), can we find curves (µ ε ) which are smooh and produce a second order approximaion of (µ )? L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

6 Geodesics in (P 2 (X ), W 2 ) A W 2 -geodesic (µ ) on P 2 (X ) solves for funcions (φ ) such ha µ + div( φ µ ) = 0 φ φ 2 = 0 Problem: no maer how nice µ 0, µ 1 are, in general he φ s are only semiconcave. Quesion: given a geodesic (µ ), can we find curves (µ ε ) which are smooh and produce a second order approximaion of (µ )? L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

7 Idea Le (µ ε ), (φ ε ) be smooh and such ha µ ε + div( φ ε µ ε ) = 0 φ ε φε 2 = a ε Then for every f smooh we have d f dµ ε = f, φ ε d dµ ε d 2 ( ) d 2 f dµ ε = Hess(f )( φ ε, φ ε ) + f, a ε dµ ε L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

8 Idea Le (µ ε ), (φ ε ) be smooh and such ha µ ε + div( φ ε µ ε ) = 0 φ ε φε 2 = a ε Then for every f smooh we have d f dµ ε = f, φ ε d dµ ε d 2 ( ) d 2 f dµ ε = Hess(f )( φ ε, φ ε ) + f, a ε dµ ε L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

9 Rigorous saemen of he problem Given X smooh and µ 0, µ 1 wih bounded densiies and suppors, find (µ ε ) so ha 0h order: (µ ε ) uniformly W 2 -converges o he only W 2 -geodesic (µ ) from µ 0 o µ 1 wih densiies uniformly bounded; 1s order: up o subsequences, φ εn φ in W 1,2 (X ), wih (φ ) a choice of Kanorovich poenials associaed o (µ ); 2nd order: for every f W 2,2 (X ) and δ (0, 1/2) i holds 1 δ The esimaes should depend only on: δ f, a ε ρ ε ddm 0 he L -norms of he densiies of µ 0, µ 1 ; he diameer of heir suppors; he lower bound on he Ricci curvaure of X ; he dimension of X. L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

10 Rigorous saemen of he problem Given X smooh and µ 0, µ 1 wih bounded densiies and suppors, find (µ ε ) so ha 0h order: (µ ε ) uniformly W 2 -converges o he only W 2 -geodesic (µ ) from µ 0 o µ 1 wih densiies uniformly bounded; 1s order: up o subsequences, φ εn φ in W 1,2 (X ), wih (φ ) a choice of Kanorovich poenials associaed o (µ ); 2nd order: for every f W 2,2 (X ) and δ (0, 1/2) i holds 1 δ The esimaes should depend only on: δ f, a ε ρ ε ddm 0 he L -norms of he densiies of µ 0, µ 1 ; he diameer of heir suppors; he lower bound on he Ricci curvaure of X ; he dimension of X. L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

11 Inerpolaion beween probabiliy densiies via he hea flow: he Schrödinger sysem Le X be smooh and ρ 0, ρ 1 bounded probabiliy densiies wih bounded suppor. Find funcions f, g on X such ha { ρ0 = f P 1 (g) ρ 1 = P 1 (f ) g The enropic inerpolaion beween ρ 0 and ρ 1 is hen defined by ρ := P (f )P 1 (g), [0, 1]. L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

12 Inerpolaion beween probabiliy densiies via he hea flow: he Schrödinger sysem Le X be smooh and ρ 0, ρ 1 bounded probabiliy densiies wih bounded suppor. Find funcions f, g on X such ha { ρ0 = f P 1 (g) ρ 1 = P 1 (f ) g The enropic inerpolaion beween ρ 0 and ρ 1 is hen defined by ρ := P (f )P 1 (g), [0, 1]. L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

13 Inerpolaion beween probabiliy densiies via he hea flow: slowing down Le X be smooh and ρ 0, ρ 1 bounded probabiliy densiies wih bounded suppor. Find funcions f ε, g ε on X such ha { ρ0 = f ε P ε (g ε ) ρ 1 = P ε (f ε ) g ε The enropic inerpolaion beween ρ 0 and ρ 1 is hen defined by ρ ε := P ε (f ε )P ε(1 ) (g ε ), [0, 1]. L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

14 Inerpolaion beween probabiliy densiies via he hea flow: slowing down Le X be smooh and ρ 0, ρ 1 bounded probabiliy densiies wih bounded suppor. Find funcions f ε, g ε on X such ha { ρ0 = f ε P ε (g ε ) ρ 1 = P ε (f ε ) g ε The enropic inerpolaion beween ρ 0 and ρ 1 is hen defined by ρ ε := P ε (f ε )P ε(1 ) (g ε ), [0, 1]. L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

15 How o find he funcions f ε, g ε : he Schrödinger problem Le R ε be he measure on X 2 given by dr ε (x, y) := dp ε(δ x ) (y)d(m m)(x, y) dm Then (f ε, g ε ) is a soluion o he Schrödinger sysem if and only if where f ε g ε (x, y) := f ε (x)g ε (y). f ε g ε R ε Adm(ρ 0 m, ρ 1 m) L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

16 How o find he funcions f ε, g ε : he Schrödinger problem Le π ε be he unique minimum of Is Euler equaion is inf H(π R ε) π Adm(ρ 0 m,ρ 1 m) ( ) dπ ε log dσ = 0 dr ε for every σ such ha π# 1 σ = π2 # = 0. This forces ( ) dπ ε log = a ε b ε dr ε for some a ε, b ε, where a ε b ε (x, y) := a ε (x) + b ε (y). Thus for f ε := exp(a ε ), g ε := exp(b ε ) we have π ε = f ε g ε R ε L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

17 How o find he funcions f ε, g ε : he Schrödinger problem Le π ε be he unique minimum of Is Euler equaion is inf H(π R ε) π Adm(ρ 0 m,ρ 1 m) ( ) dπ ε log dσ = 0 dr ε for every σ such ha π# 1 σ = π2 # = 0. This forces ( ) dπ ε log = a ε b ε dr ε for some a ε, b ε, where a ε b ε (x, y) := a ε (x) + b ε (y). Thus for f ε := exp(a ε ), g ε := exp(b ε ) we have π ε = f ε g ε R ε L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

18 How o find he funcions f ε, g ε : he Schrödinger problem Le π ε be he unique minimum of Is Euler equaion is inf H(π R ε) π Adm(ρ 0 m,ρ 1 m) ( ) dπ ε log dσ = 0 dr ε for every σ such ha π# 1 σ = π2 # = 0. This forces ( ) dπ ε log = a ε b ε dr ε for some a ε, b ε, where a ε b ε (x, y) := a ε (x) + b ε (y). Thus for f ε := exp(a ε ), g ε := exp(b ε ) we have π ε = f ε g ε R ε L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

19 The dual problem Wih some manipulaions one can show ha he dual problem of is { sup ϕ,ψ C(X ) inf εh(π R ε) π Adm(ρ 0 m,ρ 1 m) ϕρ 0 dm + ( ψρ 1 dm ε log e ϕ ψ ε dr ε )} Moreover, if π ε is a minimizer and ϕ ε, ψ ε maximizers (Schrödinger poenials), we have π ε = e ϕε ψ ε ε R ε L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

20 The dual problem Wih some manipulaions one can show ha he dual problem of is { sup ϕ,ψ C(X ) inf εh(π R ε) π Adm(ρ 0 m,ρ 1 m) ϕρ 0 dm + ( ψρ 1 dm ε log e ϕ ψ ε dr ε )} Moreover, if π ε is a minimizer and ϕ ε, ψ ε maximizers (Schrödinger poenials), we have π ε = e ϕε ψ ε ε R ε L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

21 Link wih opimal ranspor Theorem (Mikami-Thieullen 04 and Léonard 12) As ε 0 he curves ρ ε converge o he (unique) W 2 -geodesic beween ρ 0 m and ρ 1 m. Moreover εh(π ε 1 R ε ) inf d 2 (x, y)dπ. π Adm(ρ 0 m,ρ 1 m) 2 The precise saemen involves: absrac spaces; Γ-convergence; a large deviaion assumpion on he hea kernel. L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

22 Link wih opimal ranspor Theorem (Mikami-Thieullen 04 and Léonard 12) As ε 0 he curves ρ ε converge o he (unique) W 2 -geodesic beween ρ 0 m and ρ 1 m. Moreover εh(π ε 1 R ε ) inf d 2 (x, y)dπ. π Adm(ρ 0 m,ρ 1 m) 2 The precise saemen involves: absrac spaces; Γ-convergence; a large deviaion assumpion on he hea kernel. L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

23 Building he approximaion ρ ε := f ε g ε ϕ ε := ε log f ε f ε f ε := P ε/2 f ε g ε := P ε(1 )/2 g ε = ε 2 f ε ϕ ε = 1 2 ϕε 2 + ε 2 ϕε g ε = ε 2 g ε ψ ε := ε log g ε ψ ε = 1 2 ψε 2 + ε 2 ψε ε log ρ ε = ϕ ε + ψ ε ϑ ε := 1 2 (ψε ϕ ε ) ρ ε + div( ϑ ε ρ ε ) = 0 ϑ ε ϑε 2 = 1 8 ε2 (2 log ρ ε + log ρ ε 2 ) }{{} =:a ε L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

24 Building he approximaion ρ ε := f ε g ε ϕ ε := ε log f ε f ε f ε := P ε/2 f ε g ε := P ε(1 )/2 g ε = ε 2 f ε ϕ ε = 1 2 ϕε 2 + ε 2 ϕε g ε = ε 2 g ε ψ ε := ε log g ε ψ ε = 1 2 ψε 2 + ε 2 ψε ε log ρ ε = ϕ ε + ψ ε ϑ ε := 1 2 (ψε ϕ ε ) ρ ε + div( ϑ ε ρ ε ) = 0 ϑ ε ϑε 2 = 1 8 ε2 (2 log ρ ε + log ρ ε 2 ) }{{} =:a ε L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

25 Building he approximaion ρ ε := f ε g ε ϕ ε := ε log f ε f ε f ε := P ε/2 f ε g ε := P ε(1 )/2 g ε = ε 2 f ε ϕ ε = 1 2 ϕε 2 + ε 2 ϕε g ε = ε 2 g ε ψ ε := ε log g ε ψ ε = 1 2 ψε 2 + ε 2 ψε ε log ρ ε = ϕ ε + ψ ε ϑ ε := 1 2 (ψε ϕ ε ) ρ ε + div( ϑ ε ρ ε ) = 0 ϑ ε ϑε 2 = 1 8 ε2 (2 log ρ ε + log ρ ε 2 ) }{{} =:a ε L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

26 Building he approximaion ρ ε := f ε g ε ϕ ε := ε log f ε f ε f ε := P ε/2 f ε g ε := P ε(1 )/2 g ε = ε 2 f ε ϕ ε = 1 2 ϕε 2 + ε 2 ϕε g ε = ε 2 g ε ψ ε := ε log g ε ψ ε = 1 2 ψε 2 + ε 2 ψε ε log ρ ε = ϕ ε + ψ ε ϑ ε := 1 2 (ψε ϕ ε ) ρ ε + div( ϑ ε ρ ε ) = 0 ϑ ε ϑε 2 = 1 8 ε2 (2 log ρ ε + log ρ ε 2 ) }{{} =:a ε L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

27 Saemen of he convergence resuls Given X smooh and µ 0, µ 1 wih bounded densiies and suppors, wih he noaions previously inroduced we have ha: 0h order: (ρ ε m) uniformly W 2 -converges o he only W 2 -geodesic (µ ) from µ 0 o µ 1 wih densiies uniformly bounded; 1s order: up o subsequences, ϑ εn ϑ in W 1,2 loc (X ), wih (ϑ ) a choice of Kanorovich poenials associaed o (µ ); 2nd order: for every f H 2,2 (X ) and δ (0, 1/2) i holds 1 δ δ f, a ε ρ ε ddm 0 The esimaes only depend on ρ 0 L, ρ 1 L, K, N and on he diameer of he suppors of ρ 0, ρ 1. Acually, he saemen holds on RCD (K, N) spaces. L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

28 Saemen of he convergence resuls Given X smooh and µ 0, µ 1 wih bounded densiies and suppors, wih he noaions previously inroduced we have ha: 0h order: (ρ ε m) uniformly W 2 -converges o he only W 2 -geodesic (µ ) from µ 0 o µ 1 wih densiies uniformly bounded; 1s order: up o subsequences, ϑ εn ϑ in W 1,2 loc (X ), wih (ϑ ) a choice of Kanorovich poenials associaed o (µ ); 2nd order: for every f H 2,2 (X ) and δ (0, 1/2) i holds 1 δ δ f, a ε ρ ε ddm 0 The esimaes only depend on ρ 0 L, ρ 1 L, K, N and on he diameer of he suppors of ρ 0, ρ 1. Acually, he saemen holds on RCD (K, N) spaces. L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

29 A couple of esimaes Le (u ) be a soluion of he hea equaion wih posiive compacly suppored L 1 iniial daum. Then: Hamilon s gradien esimae Li-Yau Laplacian esimae log u C ( ) d(, x), (0, 1]; log u C 2, (0, 1]. The consans C 1, C 2 are posiive and only depend on K, N and on he diameer of supp(u 0 ) (on x oo for C 1 ). his leads o 0h and 1s order approximaion L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

30 A couple of esimaes Le (u ) be a soluion of he hea equaion wih posiive compacly suppored L 1 iniial daum. Then: Hamilon s gradien esimae Li-Yau Laplacian esimae log u C ( ) d(, x), (0, 1]; log u C 2, (0, 1]. The consans C 1, C 2 are posiive and only depend on K, N and on he diameer of supp(u 0 ) (on x oo for C 1 ). his leads o 0h and 1s order approximaion L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

31 Second order approximaion We sar from Theorem (Léonard 13) d 2 d 2 H(ρε m m) = 1 ( ) Γ 2 (ϕ ε 2 ) + Γ 2 (ψ ε ) ρ ε dm ( = Γ 2 (ϑ ε ) + ε ) 2 Γ 2(log ρ ε ) ρ ε dm where Γ 2 (h) := h 2 2 h, h L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

32 Second order approximaion Then from Léonard s formula we deduce ha sup 1 δ ε (0,1) δ 1 δ sup ε (0,1) δ for every δ (0, 1/2). Indeed, in he case K = 0, ( Hess(ϑ ε ) 2 + ε 2 Hess(log ρ ε ) 2) ρ ε ddm < + ( ϑ ε 2 + ε 2 log ρ ε 2) ρ ε ddm < + Γ 2 (h) Hess(h) 2 Γ 2 (h) ( h)2 N L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

33 Second order approximaion Then from Léonard s formula we deduce ha sup 1 δ ε (0,1) δ 1 δ sup ε (0,1) δ for every δ (0, 1/2). Indeed, in he case K = 0, ( Hess(ϑ ε ) 2 + ε 2 Hess(log ρ ε ) 2) ρ ε ddm < + ( ϑ ε 2 + ε 2 log ρ ε 2) ρ ε ddm < + Γ 2 (h) Hess(h) 2 Γ 2 (h) ( h)2 N L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

34 Second order differeniaion formula Theorem (Gigli-T. 17) Le (X, d, m) be a RCD (K, N) space; (µ ) a W 2 -geodesic wih µ 0, µ 1 Cm and bounded suppors; f H 2,2 (X ). Then f dµ is C 2 ([0, 1]) and d 2 d 2 f dµ = Hess(f )( φ, φ )dµ where (φ ) W 1,2 (X ) is any coninuous choice of locally Lipschiz funcions such ha µ + div( φ µ ) = 0. In paricular, he choice of evolved Kanorovich poenial does he job. L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

35 Merci de vore aenion! L. Tamanini (Paris Nanerre & SISSA) Schrödinger pb. and W 2 -geodesics Toulouse, / 19

EMS SCM joint meeting. On stochastic partial differential equations of parabolic type

EMS SCM joint meeting. On stochastic partial differential equations of parabolic type EMS SCM join meeing Barcelona, May 28-30, 2015 On sochasic parial differenial equaions of parabolic ype Isván Gyöngy School of Mahemaics and Maxwell Insiue Edinburgh Universiy 1 I. Filering problem II.

More information

An Introduction to Malliavin calculus and its applications

An Introduction to Malliavin calculus and its applications An Inroducion o Malliavin calculus and is applicaions Lecure 5: Smoohness of he densiy and Hörmander s heorem David Nualar Deparmen of Mahemaics Kansas Universiy Universiy of Wyoming Summer School 214

More information

Optima and Equilibria for Traffic Flow on a Network

Optima and Equilibria for Traffic Flow on a Network Opima and Equilibria for Traffic Flow on a Nework Albero Bressan Deparmen of Mahemaics, Penn Sae Universiy bressan@mah.psu.edu Albero Bressan (Penn Sae) Opima and equilibria for raffic flow 1 / 1 A Traffic

More information

Second order differentiation formula on RCD(K, N) spaces

Second order differentiation formula on RCD(K, N) spaces Secon orer ifferentiation formula on RCD(K, N) spaces Nicola Gigli Luca Tamanini February 8, 018 Abstract We prove the secon orer ifferentiation formula along geoesics in finite-imensional RCD(K, N) spaces.

More information

Lecture 10: The Poincaré Inequality in Euclidean space

Lecture 10: The Poincaré Inequality in Euclidean space Deparmens of Mahemaics Monana Sae Universiy Fall 215 Prof. Kevin Wildrick n inroducion o non-smooh analysis and geomery Lecure 1: The Poincaré Inequaliy in Euclidean space 1. Wha is he Poincaré inequaliy?

More information

Differential Harnack Estimates for Parabolic Equations

Differential Harnack Estimates for Parabolic Equations Differenial Harnack Esimaes for Parabolic Equaions Xiaodong Cao and Zhou Zhang Absrac Le M,g be a soluion o he Ricci flow on a closed Riemannian manifold In his paper, we prove differenial Harnack inequaliies

More information

GRADIENT ESTIMATES FOR A SIMPLE PARABOLIC LICHNEROWICZ EQUATION. Osaka Journal of Mathematics. 51(1) P.245-P.256

GRADIENT ESTIMATES FOR A SIMPLE PARABOLIC LICHNEROWICZ EQUATION. Osaka Journal of Mathematics. 51(1) P.245-P.256 Tile Auhor(s) GRADIENT ESTIMATES FOR A SIMPLE PARABOLIC LICHNEROWICZ EQUATION Zhao, Liang Ciaion Osaka Journal of Mahemaics. 51(1) P.45-P.56 Issue Dae 014-01 Tex Version publisher URL hps://doi.org/10.18910/9195

More information

Heat kernel and Harnack inequality on Riemannian manifolds

Heat kernel and Harnack inequality on Riemannian manifolds Hea kernel and Harnack inequaliy on Riemannian manifolds Alexander Grigor yan UHK 11/02/2014 onens 1 Laplace operaor and hea kernel 1 2 Uniform Faber-Krahn inequaliy 3 3 Gaussian upper bounds 4 4 ean-value

More information

OPTIMAL COUPLING FOR MEAN FIELD LIMITS. a ij + bi [X,f t ]f t, t > 0, X R d. (1)

OPTIMAL COUPLING FOR MEAN FIELD LIMITS. a ij + bi [X,f t ]f t, t > 0, X R d. (1) OPTIMAL COUPLIG FOR MEA FIELD LIMITS FRAÇOIS BOLLEY Absrac. We review recen quaniaive resuls on he approximaion of mean field diffusion equaions by large sysems of ineracing paricles, obained by opimal

More information

Couplage du principe des grandes déviations et de l homogénisation dans le cas des EDP paraboliques: (le cas constant)

Couplage du principe des grandes déviations et de l homogénisation dans le cas des EDP paraboliques: (le cas constant) Couplage du principe des grandes déviaions e de l homogénisaion dans le cas des EDP paraboliques: (le cas consan) Alioune COULIBALY U.F.R Sciences e Technologie Universié Assane SECK de Ziguinchor Probabilié

More information

THE WAVE EQUATION. part hand-in for week 9 b. Any dilation v(x, t) = u(λx, λt) of u(x, t) is also a solution (where λ is constant).

THE WAVE EQUATION. part hand-in for week 9 b. Any dilation v(x, t) = u(λx, λt) of u(x, t) is also a solution (where λ is constant). THE WAVE EQUATION 43. (S) Le u(x, ) be a soluion of he wave equaion u u xx = 0. Show ha Q43(a) (c) is a. Any ranslaion v(x, ) = u(x + x 0, + 0 ) of u(x, ) is also a soluion (where x 0, 0 are consans).

More information

t 2 B F x,t n dsdt t u x,t dxdt

t 2 B F x,t n dsdt t u x,t dxdt Evoluion Equaions For 0, fixed, le U U0, where U denoes a bounded open se in R n.suppose ha U is filled wih a maerial in which a conaminan is being ranspored by various means including diffusion and convecion.

More information

arxiv: v1 [math.dg] 21 Dec 2007

arxiv: v1 [math.dg] 21 Dec 2007 A priori L -esimaes for degenerae complex Monge-Ampère equaions ariv:07123743v1 [mahdg] 21 Dec 2007 P Eyssidieux, V Guedj and A Zeriahi February 2, 2008 Absrac : We sudy families of complex Monge-Ampère

More information

Time discretization of quadratic and superquadratic Markovian BSDEs with unbounded terminal conditions

Time discretization of quadratic and superquadratic Markovian BSDEs with unbounded terminal conditions Time discreizaion of quadraic and superquadraic Markovian BSDEs wih unbounded erminal condiions Adrien Richou Universié Bordeaux 1, INRIA équipe ALEA Oxford framework Le (Ω, F, P) be a probabiliy space,

More information

arxiv: v1 [math.pr] 23 Jan 2019

arxiv: v1 [math.pr] 23 Jan 2019 Consrucion of Liouville Brownian moion via Dirichle form heory Jiyong Shin arxiv:90.07753v [mah.pr] 23 Jan 209 Absrac. The Liouville Brownian moion which was inroduced in [3] is a naural diffusion process

More information

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation:

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation: M ah 5 7 Fall 9 L ecure O c. 4, 9 ) Hamilon- J acobi Equaion: Weak S oluion We coninue he sudy of he Hamilon-Jacobi equaion: We have shown ha u + H D u) = R n, ) ; u = g R n { = }. ). In general we canno

More information

On a Fractional Stochastic Landau-Ginzburg Equation

On a Fractional Stochastic Landau-Ginzburg Equation Applied Mahemaical Sciences, Vol. 4, 1, no. 7, 317-35 On a Fracional Sochasic Landau-Ginzburg Equaion Nguyen Tien Dung Deparmen of Mahemaics, FPT Universiy 15B Pham Hung Sree, Hanoi, Vienam dungn@fp.edu.vn

More information

CHARACTERIZATION OF REARRANGEMENT INVARIANT SPACES WITH FIXED POINTS FOR THE HARDY LITTLEWOOD MAXIMAL OPERATOR

CHARACTERIZATION OF REARRANGEMENT INVARIANT SPACES WITH FIXED POINTS FOR THE HARDY LITTLEWOOD MAXIMAL OPERATOR Annales Academiæ Scieniarum Fennicæ Mahemaica Volumen 31, 2006, 39 46 CHARACTERIZATION OF REARRANGEMENT INVARIANT SPACES WITH FIXED POINTS FOR THE HARDY LITTLEWOOD MAXIMAL OPERATOR Joaquim Marín and Javier

More information

1 Solutions to selected problems

1 Solutions to selected problems 1 Soluions o seleced problems 1. Le A B R n. Show ha in A in B bu in general bd A bd B. Soluion. Le x in A. Then here is ɛ > 0 such ha B ɛ (x) A B. This shows x in B. If A = [0, 1] and B = [0, 2], hen

More information

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity ANNALES POLONICI MATHEMATICI LIV.2 99) L p -L q -Time decay esimae for soluion of he Cauchy problem for hyperbolic parial differenial equaions of linear hermoelasiciy by Jerzy Gawinecki Warszawa) Absrac.

More information

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t M ah 5 2 7 Fall 2 0 0 9 L ecure 1 0 O c. 7, 2 0 0 9 Hamilon- J acobi Equaion: Explici Formulas In his lecure we ry o apply he mehod of characerisics o he Hamilon-Jacobi equaion: u + H D u, x = 0 in R n

More information

Ordinary Differential Equations

Ordinary Differential Equations Lecure 22 Ordinary Differenial Equaions Course Coordinaor: Dr. Suresh A. Karha, Associae Professor, Deparmen of Civil Engineering, IIT Guwahai. In naure, mos of he phenomena ha can be mahemaically described

More information

Hamilton Jacobi equations

Hamilton Jacobi equations Hamilon Jacobi equaions Inoducion o PDE The rigorous suff from Evans, mosly. We discuss firs u + H( u = 0, (1 where H(p is convex, and superlinear a infiniy, H(p lim p p = + This by comes by inegraion

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms

More information

Convergence of the Neumann series in higher norms

Convergence of the Neumann series in higher norms Convergence of he Neumann series in higher norms Charles L. Epsein Deparmen of Mahemaics, Universiy of Pennsylvania Version 1.0 Augus 1, 003 Absrac Naural condiions on an operaor A are given so ha he Neumann

More information

Západočeská Univerzita v Plzni, Czech Republic and Groupe ESIEE Paris, France

Západočeská Univerzita v Plzni, Czech Republic and Groupe ESIEE Paris, France ADAPTIVE SIGNAL PROCESSING USING MAXIMUM ENTROPY ON THE MEAN METHOD AND MONTE CARLO ANALYSIS Pavla Holejšovsá, Ing. *), Z. Peroua, Ing. **), J.-F. Bercher, Prof. Assis. ***) Západočesá Univerzia v Plzni,

More information

Semilinear Kolmogorov equations and applications to stochastic optimal control

Semilinear Kolmogorov equations and applications to stochastic optimal control Semilinear Kolmogorov equaions and applicaions o sochasic opimal conrol Federica Masiero 1 Advisor: Prof. Marco Fuhrman 2 1 Diparimeno di Maemaica, Universià degli sudi di Milano, Via Saldini 5, 2133 Milano,

More information

1. Introduction The present paper is concerned with the scalar conservation law in one space dimension: u t + (A(u)) x = 0 (1.0.1)

1. Introduction The present paper is concerned with the scalar conservation law in one space dimension: u t + (A(u)) x = 0 (1.0.1) SINGLE ENTROPY CONDITION FOR BURGERS EQUATION VIA THE RELATIVE ENTROPY METHOD SAM G. KRUPA AND ALEXIS F. VASSEUR Absrac. This paper provides a new proof of uniqueness of soluions o scalar conservaion laws

More information

Harmonic oscillator in quantum mechanics

Harmonic oscillator in quantum mechanics Harmonic oscillaor in quanum mechanics PHYS400, Deparmen of Physics, Universiy of onnecicu hp://www.phys.uconn.edu/phys400/ Las modified: May, 05 Dimensionless Schrödinger s equaion in quanum mechanics

More information

Risk Aversion Asymptotics for Power Utility Maximization

Risk Aversion Asymptotics for Power Utility Maximization Risk Aversion Asympoics for Power Uiliy Maximizaion Marcel Nuz ETH Zurich AnSAp10 Conference Vienna, 12.07.2010 Marcel Nuz (ETH) Risk Aversion Asympoics 1 / 15 Basic Problem Power uiliy funcion U(x) =

More information

Attractors for a deconvolution model of turbulence

Attractors for a deconvolution model of turbulence Aracors for a deconvoluion model of urbulence Roger Lewandowski and Yves Preaux April 0, 2008 Absrac We consider a deconvoluion model for 3D periodic flows. We show he exisence of a global aracor for he

More information

MATH 5720: Gradient Methods Hung Phan, UMass Lowell October 4, 2018

MATH 5720: Gradient Methods Hung Phan, UMass Lowell October 4, 2018 MATH 5720: Gradien Mehods Hung Phan, UMass Lowell Ocober 4, 208 Descen Direcion Mehods Consider he problem min { f(x) x R n}. The general descen direcions mehod is x k+ = x k + k d k where x k is he curren

More information

Backward doubly stochastic di erential equations with quadratic growth and applications to quasilinear SPDEs

Backward doubly stochastic di erential equations with quadratic growth and applications to quasilinear SPDEs Backward doubly sochasic di erenial equaions wih quadraic growh and applicaions o quasilinear SPDEs Badreddine MANSOURI (wih K. Bahlali & B. Mezerdi) Universiy of Biskra Algeria La Londe 14 sepember 2007

More information

Class Meeting # 10: Introduction to the Wave Equation

Class Meeting # 10: Introduction to the Wave Equation MATH 8.5 COURSE NOTES - CLASS MEETING # 0 8.5 Inroducion o PDEs, Fall 0 Professor: Jared Speck Class Meeing # 0: Inroducion o he Wave Equaion. Wha is he wave equaion? The sandard wave equaion for a funcion

More information

Generalized Snell envelope and BSDE With Two general Reflecting Barriers

Generalized Snell envelope and BSDE With Two general Reflecting Barriers 1/22 Generalized Snell envelope and BSDE Wih Two general Reflecing Barriers EL HASSAN ESSAKY Cadi ayyad Universiy Poly-disciplinary Faculy Safi Work in progress wih : M. Hassani and Y. Ouknine Iasi, July

More information

MEASURE DENSITY AND EXTENSION OF BESOV AND TRIEBEL LIZORKIN FUNCTIONS

MEASURE DENSITY AND EXTENSION OF BESOV AND TRIEBEL LIZORKIN FUNCTIONS MEASURE DENSITY AND EXTENSION OF BESOV AND TRIEBEL LIZORKIN FUNCTIONS TONI HEIKKINEN, LIZAVETA IHNATSYEVA, AND HELI TUOMINEN* Absrac. We show ha a domain is an exension domain for a Haj lasz Besov or for

More information

Asymptotic instability of nonlinear differential equations

Asymptotic instability of nonlinear differential equations Elecronic Journal of Differenial Equaions, Vol. 1997(1997), No. 16, pp. 1 7. ISSN: 172-6691. URL: hp://ejde.mah.sw.edu or hp://ejde.mah.un.edu fp (login: fp) 147.26.13.11 or 129.12.3.113 Asympoic insabiliy

More information

MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE

MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE Topics MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES 2-6 3. FUNCTION OF A RANDOM VARIABLE 3.2 PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE 3.3 EXPECTATION AND MOMENTS

More information

Online Appendix to Solution Methods for Models with Rare Disasters

Online Appendix to Solution Methods for Models with Rare Disasters Online Appendix o Soluion Mehods for Models wih Rare Disasers Jesús Fernández-Villaverde and Oren Levinal In his Online Appendix, we presen he Euler condiions of he model, we develop he pricing Calvo block,

More information

Super Ricci flow for disjoint unions

Super Ricci flow for disjoint unions Super Ricci flow for disjoin unions Sajjad Lakzian, Michael Munn November 1, 01 Absrac In his paper we consider compac, Riemannian manifolds M 1, M each equipped wih a one-parameer family of merics g 1),

More information

POSITIVE SOLUTIONS OF NEUTRAL DELAY DIFFERENTIAL EQUATION

POSITIVE SOLUTIONS OF NEUTRAL DELAY DIFFERENTIAL EQUATION Novi Sad J. Mah. Vol. 32, No. 2, 2002, 95-108 95 POSITIVE SOLUTIONS OF NEUTRAL DELAY DIFFERENTIAL EQUATION Hajnalka Péics 1, János Karsai 2 Absrac. We consider he scalar nonauonomous neural delay differenial

More information

Lecture 9: Advanced DFT concepts: The Exchange-correlation functional and time-dependent DFT

Lecture 9: Advanced DFT concepts: The Exchange-correlation functional and time-dependent DFT Lecure 9: Advanced DFT conceps: The Exchange-correlaion funcional and ime-dependen DFT Marie Curie Tuorial Series: Modeling Biomolecules December 6-11, 2004 Mark Tuckerman Dep. of Chemisry and Couran Insiue

More information

arxiv: v1 [math.pr] 19 Feb 2011

arxiv: v1 [math.pr] 19 Feb 2011 A NOTE ON FELLER SEMIGROUPS AND RESOLVENTS VADIM KOSTRYKIN, JÜRGEN POTTHOFF, AND ROBERT SCHRADER ABSTRACT. Various equivalen condiions for a semigroup or a resolven generaed by a Markov process o be of

More information

The Hopf solution of Hamilton - Jacobi equations

The Hopf solution of Hamilton - Jacobi equations The Hopf soluion of Hamilon - Jacobi equaions Ialo Capuzzo Dolcea Diparimeno di Maemaica, Universià di Roma - La Sapienza 1 Inroducion The Hopf formula [ ( )] x y u(x, ) = inf g(y) + H (1.1) provides a

More information

Vanishing Viscosity Method. There are another instructive and perhaps more natural discontinuous solutions of the conservation law

Vanishing Viscosity Method. There are another instructive and perhaps more natural discontinuous solutions of the conservation law Vanishing Viscosiy Mehod. There are anoher insrucive and perhaps more naural disconinuous soluions of he conservaion law (1 u +(q(u x 0, he so called vanishing viscosiy mehod. This mehod consiss in viewing

More information

Yoshie Sugiyama (Tsuda university)

Yoshie Sugiyama (Tsuda university) Measure valued soluions of he D Keller Segel sysem oin work: Sephan Luckhaus (Leipzig Univ.) Yoshie Sugiyama (Tsuda universiy) Juan J.L.Velázquez (ICMAT in Madrid) The 3rd OCAMI-TIMS Join Inernaional Workshop

More information

Solutionbank Edexcel AS and A Level Modular Mathematics

Solutionbank Edexcel AS and A Level Modular Mathematics Page of 4 Soluionbank Edexcel AS and A Level Modular Mahemaics Exercise A, Quesion Quesion: Skech he graphs of (a) y = e x + (b) y = 4e x (c) y = e x 3 (d) y = 4 e x (e) y = 6 + 0e x (f) y = 00e x + 0

More information

Macroeconomic Theory Ph.D. Qualifying Examination Fall 2005 ANSWER EACH PART IN A SEPARATE BLUE BOOK. PART ONE: ANSWER IN BOOK 1 WEIGHT 1/3

Macroeconomic Theory Ph.D. Qualifying Examination Fall 2005 ANSWER EACH PART IN A SEPARATE BLUE BOOK. PART ONE: ANSWER IN BOOK 1 WEIGHT 1/3 Macroeconomic Theory Ph.D. Qualifying Examinaion Fall 2005 Comprehensive Examinaion UCLA Dep. of Economics You have 4 hours o complee he exam. There are hree pars o he exam. Answer all pars. Each par has

More information

arxiv: v1 [math.pr] 4 Aug 2016

arxiv: v1 [math.pr] 4 Aug 2016 Hea kernel esimaes on conneced sums of parabolic manifolds arxiv:68.596v [mah.pr] 4 Aug 26 Alexander Grigor yan Deparmen of Mahemaics Universiy of Bielefeld 335 Bielefeld, Germany grigor@mah.uni-bielefeld.de

More information

Algorithmic Trading: Optimal Control PIMS Summer School

Algorithmic Trading: Optimal Control PIMS Summer School Algorihmic Trading: Opimal Conrol PIMS Summer School Sebasian Jaimungal, U. Torono Álvaro Carea,U. Oxford many hanks o José Penalva,(U. Carlos III) Luhui Gan (U. Torono) Ryan Donnelly (Swiss Finance Insiue,

More information

ON THE WAVE EQUATION WITH A TEMPORAL NON-LOCAL TERM

ON THE WAVE EQUATION WITH A TEMPORAL NON-LOCAL TERM Dynamic Sysems and Applicaions 16 (7) 665-67 ON THE WAVE EQUATION WITH A TEMPORAL NON-LOCAL TERM MOHAMED MEDJDEN AND NASSER-EDDINE TATAR Universié des Sciences e de la Technologie, Houari Boumedienne,

More information

Omega-limit sets and bounded solutions

Omega-limit sets and bounded solutions arxiv:3.369v [mah.gm] 3 May 6 Omega-limi ses and bounded soluions Dang Vu Giang Hanoi Insiue of Mahemaics Vienam Academy of Science and Technology 8 Hoang Quoc Vie, 37 Hanoi, Vienam e-mail: dangvugiang@yahoo.com

More information

COUPLING IN THE HEISENBERG GROUP AND ITS APPLICATIONS TO GRADIENT ESTIMATES

COUPLING IN THE HEISENBERG GROUP AND ITS APPLICATIONS TO GRADIENT ESTIMATES COUPLING IN THE HEISENBERG GROUP AND ITS APPLICATIONS TO GRADIENT ESTIMATES SAYAN BANERJEE, MARIA GORDINA, AND PHANUEL MARIANO Absrac. We consruc a non-markovian coupling for hypoellipic diffusions which

More information

Crossing the Bridge between Similar Games

Crossing the Bridge between Similar Games Crossing he Bridge beween Similar Games Jan-David Quesel, Marin Fränzle, and Werner Damm Universiy of Oldenburg, Deparmen of Compuing Science, Germany CMACS Seminar CMU, Pisburgh, PA, USA 2nd December

More information

Homework Solution Set # 3. Thursday, September 22, Textbook: Claude Cohen Tannoudji, Bernard Diu and Franck Lalo, Second Volume Complement G X

Homework Solution Set # 3. Thursday, September 22, Textbook: Claude Cohen Tannoudji, Bernard Diu and Franck Lalo, Second Volume Complement G X Deparmen of Physics Quanum Mechanics II, 570 Temple Universiy Insrucor: Z.-E. Meziani Homework Soluion Se # 3 Thursday, Sepember, 06 Texbook: Claude Cohen Tannoudji, Bernard Diu and Franck Lalo, Second

More information

Endpoint Strichartz estimates

Endpoint Strichartz estimates Endpoin Sricharz esimaes Markus Keel and Terence Tao (Amer. J. Mah. 10 (1998) 955 980) Presener : Nobu Kishimoo (Kyoo Universiy) 013 Paricipaing School in Analysis of PDE 013/8/6 30, Jeju 1 Absrac of he

More information

MEASURE DENSITY AND EXTENSION OF BESOV AND TRIEBEL LIZORKIN FUNCTIONS

MEASURE DENSITY AND EXTENSION OF BESOV AND TRIEBEL LIZORKIN FUNCTIONS MEASURE DENSITY AND EXTENSION OF BESOV AND TRIEBEL LIZORKIN FUNCTIONS TONI HEIKKINEN, LIZAVETA IHNATSYEVA, AND HELI TUOMINEN* Absrac. We show ha a domain is an exension domain for a Haj lasz Besov or for

More information

R t. C t P t. + u t. C t = αp t + βr t + v t. + β + w t

R t. C t P t. + u t. C t = αp t + βr t + v t. + β + w t Exercise 7 C P = α + β R P + u C = αp + βr + v (a) (b) C R = α P R + β + w (c) Assumpions abou he disurbances u, v, w : Classical assumions on he disurbance of one of he equaions, eg. on (b): E(v v s P,

More information

The Existence, Uniqueness and Stability of Almost Periodic Solutions for Riccati Differential Equation

The Existence, Uniqueness and Stability of Almost Periodic Solutions for Riccati Differential Equation ISSN 1749-3889 (prin), 1749-3897 (online) Inernaional Journal of Nonlinear Science Vol.5(2008) No.1,pp.58-64 The Exisence, Uniqueness and Sailiy of Almos Periodic Soluions for Riccai Differenial Equaion

More information

Singular perturbation control problems: a BSDE approach

Singular perturbation control problems: a BSDE approach Singular perurbaion conrol problems: a BSDE approach Join work wih Francois Delarue Universié de Nice and Giuseppina Guaeri Poliecnico di Milano Le Mans 8h of Ocober 215 Conference in honour of Vlad Bally

More information

Operators related to the Jacobi setting, for all admissible parameter values

Operators related to the Jacobi setting, for all admissible parameter values Operaors relaed o he Jacobi seing, for all admissible parameer values Peer Sjögren Universiy of Gohenburg Join work wih A. Nowak and T. Szarek Alba, June 2013 () 1 / 18 Le Pn α,β be he classical Jacobi

More information

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx.

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx. . Use Simpson s rule wih n 4 o esimae an () +. Soluion: Since we are using 4 seps, 4 Thus we have [ ( ) f() + 4f + f() + 4f 3 [ + 4 4 6 5 + + 4 4 3 + ] 5 [ + 6 6 5 + + 6 3 + ]. 5. Our funcion is f() +.

More information

Ordinary dierential equations

Ordinary dierential equations Chaper 5 Ordinary dierenial equaions Conens 5.1 Iniial value problem........................... 31 5. Forward Euler's mehod......................... 3 5.3 Runge-Kua mehods.......................... 36

More information

On R d -valued peacocks

On R d -valued peacocks On R d -valued peacocks Francis HIRSCH 1), Bernard ROYNETTE 2) July 26, 211 1) Laboraoire d Analyse e Probabiliés, Universié d Évry - Val d Essonne, Boulevard F. Mierrand, F-9125 Évry Cedex e-mail: francis.hirsch@univ-evry.fr

More information

Orthogonal Rational Functions, Associated Rational Functions And Functions Of The Second Kind

Orthogonal Rational Functions, Associated Rational Functions And Functions Of The Second Kind Proceedings of he World Congress on Engineering 2008 Vol II Orhogonal Raional Funcions, Associaed Raional Funcions And Funcions Of The Second Kind Karl Deckers and Adhemar Bulheel Absrac Consider he sequence

More information

QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS

QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS SPUR FINAL PAPER, SUMMER 08 CALVIN HSU MENTOR: RUOXUAN YANG PROJECT SUGGESTED BY: ANDREW LAWRIE Augus, 08 Absrac. In his paper, we discuss he decay rae for

More information

Ends of the moduli space of Higgs bundles. Frederik Witt

Ends of the moduli space of Higgs bundles. Frederik Witt Universiy of Münser The Geomery, Topology and Physics of Moduli Spaces of Higgs Bundles, Singapore, NUS 6h of Augus 2014 based on arxiv:1405.5765 [mah.dg] join wih R. Mazzeo (Sanford) J. Swoboda (Bonn)

More information

An introduction to evolution PDEs November 16, 2018 CHAPTER 5 - MARKOV SEMIGROUP

An introduction to evolution PDEs November 16, 2018 CHAPTER 5 - MARKOV SEMIGROUP An inroucion o evoluion PDEs November 6, 8 CHAPTER 5 - MARKOV SEMIGROUP Conens. Markov semigroup. Asympoic of Markov semigroups 3.. Srong posiiviy coniion an Doeblin Theorem 3.. Geomeric sabiliy uner Harris

More information

KANTOROVICH POTENTIALS AND CONTINUITY OF TOTAL COST FOR RELATIVISTIC COST FUNCTIONS

KANTOROVICH POTENTIALS AND CONTINUITY OF TOTAL COST FOR RELATIVISTIC COST FUNCTIONS KANTOROVICH POTENTIALS AND CONTINUITY OF TOTAL COST FOR RELATIVISTIC COST FUNCTIONS JEROME BERTRAND, ALDO PRATELLI, AND MARJOLAINE PUEL Absrac. In his paper we consider he opimal mass ranspor problem for

More information

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

Dual Representation as Stochastic Differential Games of Backward Stochastic Differential Equations and Dynamic Evaluations

Dual Representation as Stochastic Differential Games of Backward Stochastic Differential Equations and Dynamic Evaluations arxiv:mah/0602323v1 [mah.pr] 15 Feb 2006 Dual Represenaion as Sochasic Differenial Games of Backward Sochasic Differenial Equaions and Dynamic Evaluaions Shanjian Tang Absrac In his Noe, assuming ha he

More information

FEEDBACK NULL CONTROLLABILITY OF THE SEMILINEAR HEAT EQUATION

FEEDBACK NULL CONTROLLABILITY OF THE SEMILINEAR HEAT EQUATION Differenial and Inegral Equaions Volume 5, Number, January 2002, Pages 5 28 FEEDBACK NULL CONTROLLABILITY OF THE SEMILINEAR HEAT EQUATION Mihai Sîrbu Deparmen of Mahemaical Sciences, Carnegie Mellon Universiy

More information

Uniqueness of solutions to quadratic BSDEs. BSDEs with convex generators and unbounded terminal conditions

Uniqueness of solutions to quadratic BSDEs. BSDEs with convex generators and unbounded terminal conditions Recalls and basic resuls on BSDEs Uniqueness resul Links wih PDEs On he uniqueness of soluions o quadraic BSDEs wih convex generaors and unbounded erminal condiions IRMAR, Universié Rennes 1 Châeau de

More information

A Dynamic Model of Economic Fluctuations

A Dynamic Model of Economic Fluctuations CHAPTER 15 A Dynamic Model of Economic Flucuaions Modified for ECON 2204 by Bob Murphy 2016 Worh Publishers, all righs reserved IN THIS CHAPTER, OU WILL LEARN: how o incorporae dynamics ino he AD-AS model

More information

Homogenization of random Hamilton Jacobi Bellman Equations

Homogenization of random Hamilton Jacobi Bellman Equations Probabiliy, Geomery and Inegrable Sysems MSRI Publicaions Volume 55, 28 Homogenizaion of random Hamilon Jacobi Bellman Equaions S. R. SRINIVASA VARADHAN ABSTRACT. We consider nonlinear parabolic equaions

More information

NORMAL FORM OF THE METRIC FOR A CLASS OF RIEMANNIAN MANIFOLDS WITH ENDS

NORMAL FORM OF THE METRIC FOR A CLASS OF RIEMANNIAN MANIFOLDS WITH ENDS Boucle, J.-M. Osaka J. Mah. 51 (2014), 993 1013 NORMAL FORM OF THE METRIC FOR A CLASS OF RIEMANNIAN MANIFOLDS WITH ENDS JEAN-MARC BOUCLET (Received February 3, 2012, revised February 22, 2013) Absrac In

More information

A Shooting Method for A Node Generation Algorithm

A Shooting Method for A Node Generation Algorithm A Shooing Mehod for A Node Generaion Algorihm Hiroaki Nishikawa W.M.Keck Foundaion Laboraory for Compuaional Fluid Dynamics Deparmen of Aerospace Engineering, Universiy of Michigan, Ann Arbor, Michigan

More information

EXERCISES FOR SECTION 1.5

EXERCISES FOR SECTION 1.5 1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler

More information

Chapter 4. Truncation Errors

Chapter 4. Truncation Errors Chaper 4. Truncaion Errors and he Taylor Series Truncaion Errors and he Taylor Series Non-elemenary funcions such as rigonomeric, eponenial, and ohers are epressed in an approimae fashion using Taylor

More information

Large time unimodality for classical and free Brownian motions with initial distributions

Large time unimodality for classical and free Brownian motions with initial distributions ALEA, La. Am. J. Probab. Mah. Sa. 5, 353 374 (08) DOI: 0757/ALEA.v5-5 Large ime unimodaliy for classical and free Brownian moions wih iniial disribuions Takahiro Hasebe and Yuki Ueda Deparmen of Mahemaics,

More information

Lecture 2 April 04, 2018

Lecture 2 April 04, 2018 Sas 300C: Theory of Saisics Spring 208 Lecure 2 April 04, 208 Prof. Emmanuel Candes Scribe: Paulo Orensein; edied by Sephen Baes, XY Han Ouline Agenda: Global esing. Needle in a Haysack Problem 2. Threshold

More information

THE 2-BODY PROBLEM. FIGURE 1. A pair of ellipses sharing a common focus. (c,b) c+a ROBERT J. VANDERBEI

THE 2-BODY PROBLEM. FIGURE 1. A pair of ellipses sharing a common focus. (c,b) c+a ROBERT J. VANDERBEI THE 2-BODY PROBLEM ROBERT J. VANDERBEI ABSTRACT. In his shor noe, we show ha a pair of ellipses wih a common focus is a soluion o he 2-body problem. INTRODUCTION. Solving he 2-body problem from scrach

More information

POSITIVE PERIODIC SOLUTIONS OF NONAUTONOMOUS FUNCTIONAL DIFFERENTIAL EQUATIONS DEPENDING ON A PARAMETER

POSITIVE PERIODIC SOLUTIONS OF NONAUTONOMOUS FUNCTIONAL DIFFERENTIAL EQUATIONS DEPENDING ON A PARAMETER POSITIVE PERIODIC SOLUTIONS OF NONAUTONOMOUS FUNCTIONAL DIFFERENTIAL EQUATIONS DEPENDING ON A PARAMETER GUANG ZHANG AND SUI SUN CHENG Received 5 November 21 This aricle invesigaes he exisence of posiive

More information

A Sharp Existence and Uniqueness Theorem for Linear Fuchsian Partial Differential Equations

A Sharp Existence and Uniqueness Theorem for Linear Fuchsian Partial Differential Equations A Sharp Exisence and Uniqueness Theorem for Linear Fuchsian Parial Differenial Equaions Jose Ernie C. LOPE Absrac This paper considers he equaion Pu = f, where P is he linear Fuchsian parial differenial

More information

A DYNAMIC PROGRAMMING APPROACH TO THE PARISI FUNCTIONAL

A DYNAMIC PROGRAMMING APPROACH TO THE PARISI FUNCTIONAL A DYNAMIC PROGRAMMING APPROACH TO THE PARISI FUNCTIONAL AUKOSH JAGANNATH AND IAN TOBASCO Absrac. G. Parisi prediced an imporan variaional formula for he hermodynamic limi of he inensive free energy for

More information

Matlab and Python programming: how to get started

Matlab and Python programming: how to get started Malab and Pyhon programming: how o ge sared Equipping readers he skills o wrie programs o explore complex sysems and discover ineresing paerns from big daa is one of he main goals of his book. In his chaper,

More information

Weyl sequences: Asymptotic distributions of the partition lengths

Weyl sequences: Asymptotic distributions of the partition lengths ACTA ARITHMETICA LXXXVIII.4 (999 Weyl sequences: Asympoic disribuions of he pariion lenghs by Anaoly Zhigljavsky (Cardiff and Iskander Aliev (Warszawa. Inroducion: Saemen of he problem and formulaion of

More information

Symmetry Reduction for a System of Nonlinear Evolution Equations

Symmetry Reduction for a System of Nonlinear Evolution Equations Nonlinear Mahemaical Physics 1996, V.3, N 3 4, 447 452. Symmery Reducion for a Sysem of Nonlinear Evoluion Equaions Lyudmila BARANNYK Insiue of Mahemaics of he Naional Ukrainian Academy of Sciences, 3

More information

On the asymptotic behavior of the pantograph equations. G. Makay and J. Terjéki

On the asymptotic behavior of the pantograph equations. G. Makay and J. Terjéki On he asympoic behavior of he panograph equaions G. Makay and J. Terjéki Bolyai Insiue, Aradi véranúk ere 1, H-6720 Szeged, Hungary Dedicaed o Professor J. Kao on his 60h birhday 1. Inroducion Our aim

More information

Math 527 Lecture 6: Hamilton-Jacobi Equation: Explicit Formulas

Math 527 Lecture 6: Hamilton-Jacobi Equation: Explicit Formulas Mah 527 Lecure 6: Hamilon-Jacobi Equaion: Explici Formulas Sep. 23, 2 Mehod of characerisics. We r o appl he mehod of characerisics o he Hamilon-Jacobi equaion: u +Hx, Du = in R n, u = g on R n =. 2 To

More information

Stable approximations of optimal filters

Stable approximations of optimal filters Sable approximaions of opimal filers Joaquin Miguez Deparmen of Signal Theory & Communicaions, Universidad Carlos III de Madrid. E-mail: joaquin.miguez@uc3m.es Join work wih Dan Crisan (Imperial College

More information

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow 1 KEY Mah 4 Miderm I Fall 8 secions 1 and Insrucor: Sco Glasgow Please do NOT wrie on his eam. No credi will be given for such work. Raher wrie in a blue book, or on our own paper, preferabl engineering

More information

arxiv: v1 [math.ap] 22 Oct 2018

arxiv: v1 [math.ap] 22 Oct 2018 A varifold formulaion of mean curvaure flow wih Dirichle or dynamic boundary condiions Yoshikazu Giga, Fumihiko Onoue, Keisuke Takasao Ocober 3, 18 arxiv:181.917v1 [mah.ap] Oc 18 Absrac We consider he

More information

arxiv: v1 [math.ap] 30 Nov 2018

arxiv: v1 [math.ap] 30 Nov 2018 arxiv:8.270v [mah.ap] 30 Nov 208 Non-coercive firs order Mean Field Games Paola Mannucci, Claudio Marchi, Carlo Mariconda, Nicolea Tchou Absrac We sudy firs order evoluive Mean Field Games where he Hamilonian

More information

Appendix to Creating Work Breaks From Available Idleness

Appendix to Creating Work Breaks From Available Idleness Appendix o Creaing Work Breaks From Available Idleness Xu Sun and Ward Whi Deparmen of Indusrial Engineering and Operaions Research, Columbia Universiy, New York, NY, 127; {xs2235,ww24}@columbia.edu Sepember

More information

Remarks on the fractional Laplacian with Dirichlet boundary conditions and applications

Remarks on the fractional Laplacian with Dirichlet boundary conditions and applications Remarks on he fracional Laplacian wih Dirichle boundary condiions and applicaions Peer Consanin and Mihaela Ignaova ABSTRACT. We prove nonlinear lower bounds and commuaor esimaes for he Dirichle fracional

More information

MEAN-FIELD LIMIT VERSUS SMALL-NOISE LIMIT FOR SOME INTERACTING PARTICLE SYSTEMS

MEAN-FIELD LIMIT VERSUS SMALL-NOISE LIMIT FOR SOME INTERACTING PARTICLE SYSTEMS Communicaions on Sochasic Analysis Vol. 1, No. 1 (216) 39-55 Serials Publicaions www.serialspublicaions.com MEAN-FIELD LIMIT VERSUS SMALL-NOISE LIMIT FOR SOME INTERACTING PARTICLE SYSTEMS SAMUEL HERRMANN

More information

A Model for the Expansion of the Universe

A Model for the Expansion of the Universe Issue 2 April PROGRESS IN PHYSICS Volume 0 204 A Model for he Expansion of he Universe Nilon Penha Silva Deparmeno de Física Reired Professor, Universidade Federal de Minas Gerais, Belo Horizone, MG, Brazil

More information

Product differentiation

Product differentiation differeniaion Horizonal differeniaion Deparmen of Economics, Universiy of Oslo ECON480 Spring 010 Las modified: 010.0.16 The exen of he marke Differen producs or differeniaed varians of he same produc

More information

Two Popular Bayesian Estimators: Particle and Kalman Filters. McGill COMP 765 Sept 14 th, 2017

Two Popular Bayesian Estimators: Particle and Kalman Filters. McGill COMP 765 Sept 14 th, 2017 Two Popular Bayesian Esimaors: Paricle and Kalman Filers McGill COMP 765 Sep 14 h, 2017 1 1 1, dx x Bel x u x P x z P Recall: Bayes Filers,,,,,,, 1 1 1 1 u z u x P u z u x z P Bayes z = observaion u =

More information