The Almost Everywhere Convergence of Eigenfunction Expansions of Schrödinger Operator in L p Classes.

Size: px
Start display at page:

Download "The Almost Everywhere Convergence of Eigenfunction Expansions of Schrödinger Operator in L p Classes."

Transcription

1 Malaysian Journal of Mathematical Sciences (S) April : 9 36 (7) Special Issue: The nd International Conference and Workshop on Mathematical Analysis (ICWOMA 6) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Journal homepage: The Almost Everywhere Convergence of Eigenfunction Expansions of Schrödinger Operator in L p Classes. Jamaludin, N. A. and Ahmedov, A. Department of Mathematics, Centre Foundation Studies, National Defence University of Malaysia, Malaysia Faculty of Industrial Sciences & Technology, Universiti Malaysia Pahang, Malaysia amalinajamaludin@upnm.edu.my Corresponding author ABSTRACT In this paper the eigenfunction expansions of the Schrödinger operator with the potential having singularity at one point are considered. The uniform estimations for the spectral function of the Schrödinger operator in closed domain are obtained. The almost everywhere convergence of the eigenfunction expansions by Riesz means in the classes L p classes is proven by estimating the maximal operator in L and L and applying the interpolation theorem for the family of linear operators. Keywords: Schrödinger operator, almost everywhere convergence and eigenfunction expansions.

2 Jamaludin, N. A. and Ahmedov, A.. Introduction Let be an arbitrary bounded domain in R N (N 3) with smooth boundary. Let fix the point x. We assume that the potential function q L () has a following form: q(x) = a( x x ), x, x x where a C (, ) is non-negative function satisfying the condition: for some τ >. t k d k a(t) dt k Ctτ, k =,,,..., [N/] We consider Schrödinger operator H = + q with domain C (). We denote an arbitrary nonnegative self-adjoint extension of H with discrete spectrum by Ĥ. Let 3... be the eigenvalues of Ĥ, and let {u n } n= be the corresponding complete orthonormal system of eigenfunctions. For each Re(s), we define the s th order Riesz mean of the eigenfunction expansion of a function f L () as follows E s f(x) = n< ( ) s n (f, u n )u n (x), where (f, u n ) denotes the Fourier coefficients of the function f: (f, u n ) = f(y)u n(y)dy, n =,, 3,... The current work is devoted to the investigations connected with the problems of the almost everywhere convergence of the eigenfunction expansions of the Schrödinger operator by Riesz means. The main result of the paper is the following theorem: Theorem (. ) If f(x) L p (), p. Then Riesz means E s f(x) of order s > N p almost everywhere in converges to f(x). The similar statement for the eigenfunction expansions established by Alimov (97b). When we consider multiple Fourier series and integrals the con- Malaysian Journal of Mathematical Sciences

3 An Almost Everywhere Convergence of Eigenfunction Expansions of Schrödinger Operator in L p Classes on Closed Domain ( ) dition for the almost everywhere convergent guranteed if s > (N ) p for the values of p : p. As we can see the gap between these cases. In paper Bastis (983) has been constructed the example of the eigenfunction expansion corresponding to the self adjoint extension of the Laplace ( operator ) that the Riesz means of eigenfunction expansions of order s : s < N p 3 almost everywhere diverges to infinity for certain function from L p. In this work we are extending the result of the Alimov (97b) for the case of Schrodinger operator with nonsmooth potential. To prove the statement in the Theorem we estimate the maximal operator E f s = sup > E sf in the classes L () and L (), and apply interpolation to the family of linear operators. In this work we investigate the convergence almost everywhere of the eigenfunction expansions of the Schrödinger operator on closed domain where E s f(x) converge to f(x) L p ().. Preliminaries In this section we obtain a suitable representation for the Riesz means of the eigenfunction expansions of the Schrodinger operator. The eigenfunction expansions of the Schrödinger operator with special type potential function are considered in Alimov and Joo (983a) and Alimov and Joo (983b). Let denote by r = x x, x. Mean value formula for the eigenfunctions of the Schrödinger operator has following form θ [ ( ) u n (x +rθ)dθ = u n (x ) N N Γ (r n ) N where the function ν(r, n ) satisfies the estimation (r n ) + ν(r, ] n ) () ν(r, n ) const( n ) τ ω(r n ) here ω(t) = min{, ( ) N t }, t >. For arbitrary R > we define the following set: R = {y : dist(y, ) > R} and for any x, y we introduce the following function: Malaysian Journal of Mathematical Sciences

4 Jamaludin, N. A. and Ahmedov, A. R s (x, y, ) = s Γ(s + ) (π) N ( ) N +s(r ) (r, x y R ) N +s, x y > R, and D s (x, y, ) = s Γ(s + ) N 4 s u n (x)u n (y) ( n ) N I s(, n ), () where I s (, n ) denotes the integral I s (, n ) = R +s(r ) (r n )r s dr. The following representation is very important for the estimation of the maximal operator in the classes of L p (). Lemma. The Riesz means has the following representation Ef(x) s = f(x)r s (x, y, )dx + f(x)d s (x, y, )dx f(x)p s (x, y, )dx, r R where P s (x, y, ) = s Γ(s + ) (π) N R u n (x)u n (y) +s(r ) (r ) ( ) N ν(r, N n )r N dr. +s Proof : Applying the Parseval formula for f L () and g x (x) = x x N s +s( x x ), x x R, x x > R. Malaysian Journal of Mathematical Sciences

5 An Almost Everywhere Convergence of Eigenfunction Expansions of Schrödinger Operator in L p Classes on Closed Domain where the number R is chosen with the condition that the ball of radius R: B R (x ) = {x : x x < R}. (3) We obtain f(x)g x (x)dx = x x R f(x) x x N s +s( x x )dy = f n d n The Fourier coefficients d n = g x (x)u n (x)dx,n =,, 3,... of the function g x (x) can be calculated using the property that it is radial function and applying mean value formula () as follows: d n = C N u n (x )( n ) N + u n (x ) R R +s(r ) (r n )r s dr r N s +s(r )ν(r, n )dr To the first term of d n account the formula after substitution R = R and taking into +s(r ) N 4 n (r n )r s dr = s N 4 s Γ(s + ) ( ) s n δ n, (4) where δ n is a Kronecker we have d n = C u n (x ) s N 4 + u n (x ) R ( ) s n δ n C N u n (x )( n ) N Is (, n ) r N s +s(r )ν(r, n )dr Malaysian Journal of Mathematical Sciences 3

6 Jamaludin, N. A. and Ahmedov, A. where C = C N s Γ(s+), C N = N Γ( N ), then, C = N s Γ( N ) Γ(s+). Substitute d n into the Parseval formula : fgdx = r R = C s N 4 + f(x)r N s +s(r )dx n R c n u n (x ) ( c n u n (x ) ) s n C N c n u n (x )( n ) N Is (, n ) r N s +s(r )ν(r, n )dr. (5) We obtain the following representation for the Riesz means: Ef(x s ) = f(x)r N C s N s +s(r )dx 4 r R + C N c C s N n u n (x )( n ) N Is (, n ) 4 R c C s N n u n (x ) r N s +s(r )ν(r, n )dr 4 which completes proof of Lemma. 3. Estimation for P s (x, y, ) First two terms of Riesz means can be estimated by the methods in Alimov (97a). Let estimate third term. Lemma 3. We have P s (x, y, ) dx C N τ, τ > N. (6) 4 Malaysian Journal of Mathematical Sciences

7 An Almost Everywhere Convergence of Eigenfunction Expansions of Schrödinger Operator in L p Classes on Closed Domain uniformly for all x and >. Proof: Let expand P s (x, y, ) into eigenfunction expansions by eigenfunction {u n (x)}: P s (x, y, ) = c n (y)u n (x) where R c n (y) = C N u n (y) +s(r ) (r ) ( ) N ν(r, N n )r N dr +s Application of Parseval s formula gives: R P s (x, y, ) dx = c n (y) = C u n(y) N +s(r ) (r ) ν(r, N n )r N dr +s C R J u n(y) N N +s(r ) n< (r ) ν(r, N n )r N dr +s + C R J u n(y) N N +s(r ) (r ) ν(r, N n )r N dr +s n> (7) Let denote I = R +s(r ) (r ) ν(r, N n )r N +s dr where ν(r, n ) C ν ( n ) τ ω(r n ), C ν is a constant: Malaysian Journal of Mathematical Sciences 5

8 Jamaludin, N. A. and Ahmedov, A. ω(r n ) = (, < r n < r n ) N, r n > We have the following lemma to estimate I in (7): Lemma 4. Let s > N. For any r > we have I = R +s(r ) (r ) ν(r, N n )r N dr +s = O() τ+n n, n < τ+n, n. Proof: Firstly, let estimate I for the case n < ; r < : +s(r ) (r ) ν(r, N n )r N +s dr = C( n ) τ r N dr = C N (r ) N +s ( n ) τ ( ) N C N (r ) N +s ( n ) τ r N dr τ+n n. Secondly, let estimate I for the case n < ; r < n : n +s(r ) (r ) ν(r, N n )r N +s dr C = C( ( ) N+ n ) τ +s n n ( ) N C ( N s ) s+τ ( ) N+ +s n C ( N s ) τ+n n. (r ) (r ) ( N n ) τ r N dr +s ( ) τ ( ) N+ r N N s +s n dr = C n ( ) τ ( ) N C ( N s ) n r N s 3 dr 6 Malaysian Journal of Mathematical Sciences

9 An Almost Everywhere Convergence of Eigenfunction Expansions of Schrödinger Operator in L p Classes on Closed Domain Thirdly, let estimate I for the case n < ; r > n : n +s(r ) (r ) ν(r, N n )r N +s dr C ( ) N +τ ( ) N+ +s = C n r n r N +s (r n ( ) (r ) ( N n ) τ +s r n ( ) N r N dr r ) N r N dr ( ) N +τ ( ) N+ +s ( ) N = C r s +τ ( ) N+ +s [ r s dr = C n n s n ] n = C s ( ) N +τ s ( ) N+ +s C n s τ+n n. Fourthly, let estimate I for the case n > ; r < n : n +s(r ) (r ) ν(r, N n )r N +s dr C = C( n ) τ n r N dr = C N n (r ) N +s ( ) N+τ C τ+n. n N (r ) N +s ( n ) τ r N dr Fifthly, let estimate I for the case n > ; n r < : C n +s(r ) (r ) ν(r, N n )r N +s dr C (r n ( ) N +τ ( ) N = C r N dr = C n n n = N ) +s (r ) ( N n ) τ +s +τ [ r N+ ( ) [ N C +τ ( ) N+ ( ) N+ ] (N + ) n n ( ) N C +τ ( ) N+ (N + ) n N+ ] n ( ) N+τ C (N + ) n ( r n C τ+n N +. ) N r N dr Malaysian Journal of Mathematical Sciences 7

10 Jamaludin, N. A. and Ahmedov, A. Lastly, let estimate I for the case n > ; r > : +s(r ) (r ) ν(r, N n )r N +s dr C ( ) N +τ ( ) N+ +s = C n C r r N +s ( ) (r ) ( N n ) τ +s r n ( ) N r N dr r (r ) N ( ) N +τ ( ) N+ +s ( ) N = C r s +τ ( ) N+ +s [ r s dr = C n n s r N dr ] = C s ( ) N +τ ( ) N+ C τ+n. n s Finally, we obtain P s (x, y, ) dx = = C p n (y) C R u n(y) N n< u n(y) τ n + C +s(r ) (r ) ν(r, N n )r N dr +s n> u n(y) τ. (8) where C = [ C N + ] C ( N s) + C s and C = [ C N + ] C N+ + C s. We refer the following formula from Alimov and Joo (983b) n u n(x) = O() N, >, x. firstly, we have to estimate the first term of (8) as follows 8 Malaysian Journal of Mathematical Sciences

11 An Almost Everywhere Convergence of Eigenfunction Expansions of Schrödinger Operator in L p Classes on Closed Domain C n< u n(y) τ n C m= [ ] m= m τ m< n<m+ [ ] [ ] C m τ m N = C t τ+n dt = C [ t τ+n τ + N ] [ ] u n(y) = C N τ [ τ+ N ] C3 N τ. where C 3 = C N τ. Next we estimate the second term of equation (8), C n> u n(y) τ C m=[ ] m τ C t τ+n dt = C [ t N τ N τ m< n<m+ ] = C 4 N τ u n(y) C m=[ ] m τ m N where C 4 = Then, C N τ. P s (x, y, ) dx C N τ, τ > N, s > N, where C = C 3 + C 4. This is completing proof. Lemma 5. Let 4. Estimation in L p, p > P s (x, y) = sup P s (x, y, ). Malaysian Journal of Mathematical Sciences 9

12 Jamaludin, N. A. and Ahmedov, A. If α N = ɛ >, s = α + iδ, and y we have the relations as follows [P s (x, y)] dx C. Proof. We know P s (x, y, ) = µ P s (x, y, t) t (P µ s(x, y, t))dt P s (x, y, t) + t (P s(x, y, t)) dt Taking supremum, we have P s (x, y, ) µ P s (x, y, t) + t (P s(x, y, t)) dt We integrate both sides with respect to x, we obtain [ µ ] Ps (x, y, ) dx P s (x, y, t) + t (P s(x, y, t)) dt dx [ µ ] = P s (x, y, t) + t (P s(x, y, t)) dx dt We have the following estimate if we choose τ > N +, then we obtain Ps (x, y, ) dx [ ] P s (x, y, t) + t (P s(x, y, t)) dx dt = t N τ dt = C. Lemma 5 is proved. 3 Malaysian Journal of Mathematical Sciences

13 An Almost Everywhere Convergence of Eigenfunction Expansions of Schrödinger Operator in L p Classes on Closed Domain 5. Estimation in L As we established in the beginning for the Riesz means we have: E s f(x) = σ s f(x) + ξs f(x) + γs f(x). From Alimov (97a) s result we conclude that: ξ s+iδ f L() C s N f L (), f L (), σ s+iδ f Lp() C p f L p(), p. Collecting all estimations we obtain ( ) E s+iδ f Lp() C p + + f Lp(). p >, (p ). s N τ N Lemma 6. The functions (9) W s (x, f) = [ ] [ Ef(x) s E s f(x) d, Q s (x, f) = sup () E s f(x, t) dt ] Re(s) = α >. W s (x, f) dx C f(x) dx, Q s (x, f) dx C f(x) dx. () Proof. To prove () we note that Malaysian Journal of Mathematical Sciences 3

14 Jamaludin, N. A. and Ahmedov, A. [ µ [ µ + E s f(x, t) dt ] E s+m f(x, t) dt k= ] [ m µ E s+k f(x, t) E s+k f(x, t) dt m W s+k (x; f) + Q s+m+ (x, f). k= () ] From () and () the estimate m Q s (x, f) W s+k (x; f) + Es+m(x, f). k= Choose m such that m + α > N, it follows from (9) and () we obtain (). From Corollary, for any s = α + iδ,re(s) >, E s, (x, f) dx C f(x) dx. (3) This follows from the obvious relation E s ( ) = s Γ(s + ) [ Γ( s+ )] µ E s (t)t s (µ t ) s dt, E s (x, s, [ ) C µ ] E s (t) dt CQ s+ (x, f). (4) From (4) and () implies (3). 3 Malaysian Journal of Mathematical Sciences

15 An Almost Everywhere Convergence of Eigenfunction Expansions of Schrödinger Operator in L p Classes on Closed Domain 6. The analytic family of linear operators and L p -spaces We say that a function ϕ(τ), τ R, has admissible growth if there exist constants a < π and b > such that ϕ(z) exp(b exp a τ ). (5) Let A z be a family of operators defined for simple functions (i.e. functions which are finite linear combinations of characteristic functions of measurable subsets of ). We term the family A z admissible if for any two simple functions f and g the function ϕ(z) = f(x)a z g(x)dx is analytic in the strip Rez and has admissible growth in Im z, uniformly in Rez (this means that we have an estimate in Imz which is analogous to (5), with constants a and b independent of Rez). Theorem 7. Let A z be an admissible family of linear operators such that A iτ f Lp () M (τ) f Lp (), p, A +iτ f Lp () M (τ) f Lp (), p, for all simple functions f and with M j (τ) independent of τ and of admissible growth. Then there exist for each t, t, a constant M t such that for every simple function f holds A t f Lpt () M t f Lpt (), = t + t. p t p p We apply the interpolation theorem on an analytic family of linear operators in L p space. Let µ(x) be a measurable function on such as µ(x) µ < Malaysian Journal of Mathematical Sciences 33

16 Jamaludin, N. A. and Ahmedov, A. and α(z) = ( N + ɛ) z, Rez. We define an analytic family of linear operators: A z f(x) = E α(z) µ(x) f(x), Rez. We have A iy f(x) L() E α(iy) f(x) L() Be π y f L(). Secondly on the line z = + iy, we have A +iy f(x) Lp () E α(+iy) y f(x) Lp Deπ f Lp () (). Therefore by the interpolation we get E αt f(x) L M t f Lp(). (6) And if note that p = t + t, p p ( = t ), p then, t = p p > p ( = p ), then, 34 Malaysian Journal of Mathematical Sciences

17 An Almost Everywhere Convergence of Eigenfunction Expansions of Schrödinger Operator in L p Classes on Closed Domain α(t) = ( ) ( ) ( N N + ɛ t > + ɛ p ) ( > N p ), p >. Let us denote by Λf(x) the fluctuation of E s nf(x): Λf(x) = lim sup Es f(x) lim inf Es f(x). It is obvious, that Λf(x) E s f(x). From density of C L p, p, we have that for any ɛ > the function f L p, p can be represented as the sum of two functions: f(x) = f (x)+f (x), where f x C, and f L ɛ. Then we have Λf(x) = lim sup Es f (x) lim inf Es f(x) f Lp ɛ. Therefore almost everywhere ( ) Λf(x) =. So almost everywhere on for Riesz means of order s > N p, p, we have lim E s f(x) =. 7. Conclusion The almost everywhere convergence of the eigenfunction expansions of the Schrödinger operator by Riesz means of order s > N(/p /) in the classes of L p, p is established by estimating the maximal operators in the classes L and L and application of the interpolation Theorem for the family of linear operators. This result is extending the similar result for the eigenfunction expansions of the Laplace operator obtained in the work Alimov (97b). References Alimov, S. A. (97a). On summability of eigenfunction expansions from lp classes. Journal of Differential Equation, 4:3. Malaysian Journal of Mathematical Sciences 35

18 Jamaludin, N. A. and Ahmedov, A. Alimov, S. A. (97b). The summability of the fourier series of functions in l p in terms of eigenfunctions. Differentsialnye Uravnenija, 6: Alimov, S. A. and Joo, I. (983a). On the eigenfunction expansions associated with the schrodinger operator having spherically symmetrical potential. Journal of Acta. Math. Hung., 4(-): 9. Alimov, S. A. and Joo, I. (983b). On the riesz summability of eigenfunction expansions. Acta. Sci. Math., 45:5 8. Bastis, A. I. (983). Convergence almost everywhere of spectral expansions of functions l α.mat.zametki, 34(4) : Malaysian Journal of Mathematical Sciences

Partial Differential Equations

Partial Differential Equations Part II Partial Differential Equations Year 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2015 Paper 4, Section II 29E Partial Differential Equations 72 (a) Show that the Cauchy problem for u(x,

More information

SOLUTION OF THE DIRICHLET PROBLEM WITH L p BOUNDARY CONDITION. Dagmar Medková

SOLUTION OF THE DIRICHLET PROBLEM WITH L p BOUNDARY CONDITION. Dagmar Medková 29 Kragujevac J. Math. 31 (2008) 29 42. SOLUTION OF THE DIRICHLET PROBLEM WITH L p BOUNDARY CONDITION Dagmar Medková Czech Technical University, Faculty of Mechanical Engineering, Department of Technical

More information

Analysis Preliminary Exam Workshop: Hilbert Spaces

Analysis Preliminary Exam Workshop: Hilbert Spaces Analysis Preliminary Exam Workshop: Hilbert Spaces 1. Hilbert spaces A Hilbert space H is a complete real or complex inner product space. Consider complex Hilbert spaces for definiteness. If (, ) : H H

More information

The Diffusion Equation with Piecewise Smooth Initial Conditions ABSTRACT INTRODUCTION

The Diffusion Equation with Piecewise Smooth Initial Conditions ABSTRACT INTRODUCTION Malaysian Journal of Mathematical Sciences 5(1): 101-110 (011) The Diffusion Equation with Piecewise Smooth Initial Conditions Ravshan Ashurov and Almaz Butaev Institute of Advanced Technology (ITMA),Universiti

More information

Math 4263 Homework Set 1

Math 4263 Homework Set 1 Homework Set 1 1. Solve the following PDE/BVP 2. Solve the following PDE/BVP 2u t + 3u x = 0 u (x, 0) = sin (x) u x + e x u y = 0 u (0, y) = y 2 3. (a) Find the curves γ : t (x (t), y (t)) such that that

More information

MATH 205C: STATIONARY PHASE LEMMA

MATH 205C: STATIONARY PHASE LEMMA MATH 205C: STATIONARY PHASE LEMMA For ω, consider an integral of the form I(ω) = e iωf(x) u(x) dx, where u Cc (R n ) complex valued, with support in a compact set K, and f C (R n ) real valued. Thus, I(ω)

More information

Solutions: Problem Set 4 Math 201B, Winter 2007

Solutions: Problem Set 4 Math 201B, Winter 2007 Solutions: Problem Set 4 Math 2B, Winter 27 Problem. (a Define f : by { x /2 if < x

More information

LEGENDRE POLYNOMIALS AND APPLICATIONS. We construct Legendre polynomials and apply them to solve Dirichlet problems in spherical coordinates.

LEGENDRE POLYNOMIALS AND APPLICATIONS. We construct Legendre polynomials and apply them to solve Dirichlet problems in spherical coordinates. LEGENDRE POLYNOMIALS AND APPLICATIONS We construct Legendre polynomials and apply them to solve Dirichlet problems in spherical coordinates.. Legendre equation: series solutions The Legendre equation is

More information

RKHS, Mercer s theorem, Unbounded domains, Frames and Wavelets Class 22, 2004 Tomaso Poggio and Sayan Mukherjee

RKHS, Mercer s theorem, Unbounded domains, Frames and Wavelets Class 22, 2004 Tomaso Poggio and Sayan Mukherjee RKHS, Mercer s theorem, Unbounded domains, Frames and Wavelets 9.520 Class 22, 2004 Tomaso Poggio and Sayan Mukherjee About this class Goal To introduce an alternate perspective of RKHS via integral operators

More information

Exercise 1. Let f be a nonnegative measurable function. Show that. where ϕ is taken over all simple functions with ϕ f. k 1.

Exercise 1. Let f be a nonnegative measurable function. Show that. where ϕ is taken over all simple functions with ϕ f. k 1. Real Variables, Fall 2014 Problem set 3 Solution suggestions xercise 1. Let f be a nonnegative measurable function. Show that f = sup ϕ, where ϕ is taken over all simple functions with ϕ f. For each n

More information

Isoperimetric Inequalities for the Cauchy-Dirichlet Heat Operator

Isoperimetric Inequalities for the Cauchy-Dirichlet Heat Operator Filomat 32:3 (218), 885 892 https://doi.org/1.2298/fil183885k Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Isoperimetric Inequalities

More information

be the set of complex valued 2π-periodic functions f on R such that

be the set of complex valued 2π-periodic functions f on R such that . Fourier series. Definition.. Given a real number P, we say a complex valued function f on R is P -periodic if f(x + P ) f(x) for all x R. We let be the set of complex valued -periodic functions f on

More information

for all subintervals I J. If the same is true for the dyadic subintervals I D J only, we will write ϕ BMO d (J). In fact, the following is true

for all subintervals I J. If the same is true for the dyadic subintervals I D J only, we will write ϕ BMO d (J). In fact, the following is true 3 ohn Nirenberg inequality, Part I A function ϕ L () belongs to the space BMO() if sup ϕ(s) ϕ I I I < for all subintervals I If the same is true for the dyadic subintervals I D only, we will write ϕ BMO

More information

CHAPTER VIII HILBERT SPACES

CHAPTER VIII HILBERT SPACES CHAPTER VIII HILBERT SPACES DEFINITION Let X and Y be two complex vector spaces. A map T : X Y is called a conjugate-linear transformation if it is a reallinear transformation from X into Y, and if T (λx)

More information

(3) Let Y be a totally bounded subset of a metric space X. Then the closure Y of Y

(3) Let Y be a totally bounded subset of a metric space X. Then the closure Y of Y () Consider A = { q Q : q 2 2} as a subset of the metric space (Q, d), where d(x, y) = x y. Then A is A) closed but not open in Q B) open but not closed in Q C) neither open nor closed in Q D) both open

More information

Reminder Notes for the Course on Distribution Theory

Reminder Notes for the Course on Distribution Theory Reminder Notes for the Course on Distribution Theory T. C. Dorlas Dublin Institute for Advanced Studies School of Theoretical Physics 10 Burlington Road, Dublin 4, Ireland. Email: dorlas@stp.dias.ie March

More information

McGill University Math 354: Honors Analysis 3

McGill University Math 354: Honors Analysis 3 Practice problems McGill University Math 354: Honors Analysis 3 not for credit Problem 1. Determine whether the family of F = {f n } functions f n (x) = x n is uniformly equicontinuous. 1st Solution: The

More information

THEOREMS, ETC., FOR MATH 515

THEOREMS, ETC., FOR MATH 515 THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every

More information

Orthonormal series expansion and finite spherical Hankel transform of generalized functions

Orthonormal series expansion and finite spherical Hankel transform of generalized functions Malaya Journal of Matematik 2(1)(2013) 77 82 Orthonormal series expansion and finite spherical Hankel transform of generalized functions S.K. Panchal a, a Department of Mathematics, Dr. Babasaheb Ambedkar

More information

Vector Spaces. Vector space, ν, over the field of complex numbers, C, is a set of elements a, b,..., satisfying the following axioms.

Vector Spaces. Vector space, ν, over the field of complex numbers, C, is a set of elements a, b,..., satisfying the following axioms. Vector Spaces Vector space, ν, over the field of complex numbers, C, is a set of elements a, b,..., satisfying the following axioms. For each two vectors a, b ν there exists a summation procedure: a +

More information

Laplace s Equation. Chapter Mean Value Formulas

Laplace s Equation. Chapter Mean Value Formulas Chapter 1 Laplace s Equation Let be an open set in R n. A function u C 2 () is called harmonic in if it satisfies Laplace s equation n (1.1) u := D ii u = 0 in. i=1 A function u C 2 () is called subharmonic

More information

SPECTRAL THEOREM FOR SYMMETRIC OPERATORS WITH COMPACT RESOLVENT

SPECTRAL THEOREM FOR SYMMETRIC OPERATORS WITH COMPACT RESOLVENT SPECTRAL THEOREM FOR SYMMETRIC OPERATORS WITH COMPACT RESOLVENT Abstract. These are the letcure notes prepared for the workshop on Functional Analysis and Operator Algebras to be held at NIT-Karnataka,

More information

Notes. 1 Fourier transform and L p spaces. March 9, For a function in f L 1 (R n ) define the Fourier transform. ˆf(ξ) = f(x)e 2πi x,ξ dx.

Notes. 1 Fourier transform and L p spaces. March 9, For a function in f L 1 (R n ) define the Fourier transform. ˆf(ξ) = f(x)e 2πi x,ξ dx. Notes March 9, 27 1 Fourier transform and L p spaces For a function in f L 1 (R n ) define the Fourier transform ˆf(ξ) = f(x)e 2πi x,ξ dx. Properties R n 1. f g = ˆfĝ 2. δλ (f)(ξ) = ˆf(λξ), where δ λ f(x)

More information

Fourier Series. 1. Review of Linear Algebra

Fourier Series. 1. Review of Linear Algebra Fourier Series In this section we give a short introduction to Fourier Analysis. If you are interested in Fourier analysis and would like to know more detail, I highly recommend the following book: Fourier

More information

MATH MEASURE THEORY AND FOURIER ANALYSIS. Contents

MATH MEASURE THEORY AND FOURIER ANALYSIS. Contents MATH 3969 - MEASURE THEORY AND FOURIER ANALYSIS ANDREW TULLOCH Contents 1. Measure Theory 2 1.1. Properties of Measures 3 1.2. Constructing σ-algebras and measures 3 1.3. Properties of the Lebesgue measure

More information

TD 1: Hilbert Spaces and Applications

TD 1: Hilbert Spaces and Applications Université Paris-Dauphine Functional Analysis and PDEs Master MMD-MA 2017/2018 Generalities TD 1: Hilbert Spaces and Applications Exercise 1 (Generalized Parallelogram law). Let (H,, ) be a Hilbert space.

More information

Recall that any inner product space V has an associated norm defined by

Recall that any inner product space V has an associated norm defined by Hilbert Spaces Recall that any inner product space V has an associated norm defined by v = v v. Thus an inner product space can be viewed as a special kind of normed vector space. In particular every inner

More information

1 Math 241A-B Homework Problem List for F2015 and W2016

1 Math 241A-B Homework Problem List for F2015 and W2016 1 Math 241A-B Homework Problem List for F2015 W2016 1.1 Homework 1. Due Wednesday, October 7, 2015 Notation 1.1 Let U be any set, g be a positive function on U, Y be a normed space. For any f : U Y let

More information

MATH 5640: Fourier Series

MATH 5640: Fourier Series MATH 564: Fourier Series Hung Phan, UMass Lowell September, 8 Power Series A power series in the variable x is a series of the form a + a x + a x + = where the coefficients a, a,... are real or complex

More information

1 Continuity Classes C m (Ω)

1 Continuity Classes C m (Ω) 0.1 Norms 0.1 Norms A norm on a linear space X is a function : X R with the properties: Positive Definite: x 0 x X (nonnegative) x = 0 x = 0 (strictly positive) λx = λ x x X, λ C(homogeneous) x + y x +

More information

Hilbert Spaces. Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space.

Hilbert Spaces. Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space. Hilbert Spaces Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space. Vector Space. Vector space, ν, over the field of complex numbers,

More information

Real Analysis Problems

Real Analysis Problems Real Analysis Problems Cristian E. Gutiérrez September 14, 29 1 1 CONTINUITY 1 Continuity Problem 1.1 Let r n be the sequence of rational numbers and Prove that f(x) = 1. f is continuous on the irrationals.

More information

EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018

EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018 EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018 While these notes are under construction, I expect there will be many typos. The main reference for this is volume 1 of Hörmander, The analysis of liner

More information

W. Lenski and B. Szal ON POINTWISE APPROXIMATION OF FUNCTIONS BY SOME MATRIX MEANS OF CONJUGATE FOURIER SERIES

W. Lenski and B. Szal ON POINTWISE APPROXIMATION OF FUNCTIONS BY SOME MATRIX MEANS OF CONJUGATE FOURIER SERIES F A S C I C U L I M A T H E M A T I C I Nr 55 5 DOI:.55/fascmath-5-7 W. Lenski and B. Szal ON POINTWISE APPROXIMATION OF FUNCTIONS BY SOME MATRIX MEANS OF CONJUGATE FOURIER SERIES Abstract. The results

More information

Kernel Method: Data Analysis with Positive Definite Kernels

Kernel Method: Data Analysis with Positive Definite Kernels Kernel Method: Data Analysis with Positive Definite Kernels 2. Positive Definite Kernel and Reproducing Kernel Hilbert Space Kenji Fukumizu The Institute of Statistical Mathematics. Graduate University

More information

Classical Fourier Analysis

Classical Fourier Analysis Loukas Grafakos Classical Fourier Analysis Second Edition 4y Springer 1 IP Spaces and Interpolation 1 1.1 V and Weak IP 1 1.1.1 The Distribution Function 2 1.1.2 Convergence in Measure 5 1.1.3 A First

More information

Rademacher functions

Rademacher functions Rademacher functions Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto July 6, 4 Binary expansions Define S : {, } N [, ] by Sσ σ k k, σ {, }N. For example, for σ and σ,

More information

CALCULUS JIA-MING (FRANK) LIOU

CALCULUS JIA-MING (FRANK) LIOU CALCULUS JIA-MING (FRANK) LIOU Abstract. Contents. Power Series.. Polynomials and Formal Power Series.2. Radius of Convergence 2.3. Derivative and Antiderivative of Power Series 4.4. Power Series Expansion

More information

Exercise 11. Isao Sasano

Exercise 11. Isao Sasano Exercise Isao Sasano Exercise Calculate the value of the following series by using the Parseval s equality for the Fourier series of f(x) x on the range [, π] following the steps ()-(5). () Calculate the

More information

RIESZ BASES AND UNCONDITIONAL BASES

RIESZ BASES AND UNCONDITIONAL BASES In this paper we give a brief introduction to adjoint operators on Hilbert spaces and a characterization of the dual space of a Hilbert space. We then introduce the notion of a Riesz basis and give some

More information

Austin Mohr Math 704 Homework 6

Austin Mohr Math 704 Homework 6 Austin Mohr Math 704 Homework 6 Problem 1 Integrability of f on R does not necessarily imply the convergence of f(x) to 0 as x. a. There exists a positive continuous function f on R so that f is integrable

More information

A class of non-convex polytopes that admit no orthonormal basis of exponentials

A class of non-convex polytopes that admit no orthonormal basis of exponentials A class of non-convex polytopes that admit no orthonormal basis of exponentials Mihail N. Kolountzakis and Michael Papadimitrakis 1 Abstract A conjecture of Fuglede states that a bounded measurable set

More information

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

More information

Problem Set 6: Solutions Math 201A: Fall a n x n,

Problem Set 6: Solutions Math 201A: Fall a n x n, Problem Set 6: Solutions Math 201A: Fall 2016 Problem 1. Is (x n ) n=0 a Schauder basis of C([0, 1])? No. If f(x) = a n x n, n=0 where the series converges uniformly on [0, 1], then f has a power series

More information

SPECTRAL THEOREM FOR COMPACT SELF-ADJOINT OPERATORS

SPECTRAL THEOREM FOR COMPACT SELF-ADJOINT OPERATORS SPECTRAL THEOREM FOR COMPACT SELF-ADJOINT OPERATORS G. RAMESH Contents Introduction 1 1. Bounded Operators 1 1.3. Examples 3 2. Compact Operators 5 2.1. Properties 6 3. The Spectral Theorem 9 3.3. Self-adjoint

More information

Endpoint resolvent estimates for compact Riemannian manifolds

Endpoint resolvent estimates for compact Riemannian manifolds Endpoint resolvent estimates for compact Riemannian manifolds joint work with R. L. Frank to appear in J. Funct. Anal. (arxiv:6.00462) Lukas Schimmer California Institute of Technology 3 February 207 Schimmer

More information

Lecture 4: Fourier Transforms.

Lecture 4: Fourier Transforms. 1 Definition. Lecture 4: Fourier Transforms. We now come to Fourier transforms, which we give in the form of a definition. First we define the spaces L 1 () and L 2 (). Definition 1.1 The space L 1 ()

More information

Inverse scattering problem with underdetermined data.

Inverse scattering problem with underdetermined data. Math. Methods in Natur. Phenom. (MMNP), 9, N5, (2014), 244-253. Inverse scattering problem with underdetermined data. A. G. Ramm Mathematics epartment, Kansas State University, Manhattan, KS 66506-2602,

More information

On Power Series Analytic in the Open Unit Disk with Finite Doble-Logarithmic Order

On Power Series Analytic in the Open Unit Disk with Finite Doble-Logarithmic Order Applied Mathematical Sciences, Vol 2, 2008, no 32, 549-569 On Power Series Analytic in the Open Unit Disk with Finite Doble-Logarithmic Order Mehmet Açıkgöz University of Gaziantep, Faculty of Science

More information

Math 118B Solutions. Charles Martin. March 6, d i (x i, y i ) + d i (y i, z i ) = d(x, y) + d(y, z). i=1

Math 118B Solutions. Charles Martin. March 6, d i (x i, y i ) + d i (y i, z i ) = d(x, y) + d(y, z). i=1 Math 8B Solutions Charles Martin March 6, Homework Problems. Let (X i, d i ), i n, be finitely many metric spaces. Construct a metric on the product space X = X X n. Proof. Denote points in X as x = (x,

More information

Chapter 7: Bounded Operators in Hilbert Spaces

Chapter 7: Bounded Operators in Hilbert Spaces Chapter 7: Bounded Operators in Hilbert Spaces I-Liang Chern Department of Applied Mathematics National Chiao Tung University and Department of Mathematics National Taiwan University Fall, 2013 1 / 84

More information

Separation of Variables in Linear PDE: One-Dimensional Problems

Separation of Variables in Linear PDE: One-Dimensional Problems Separation of Variables in Linear PDE: One-Dimensional Problems Now we apply the theory of Hilbert spaces to linear differential equations with partial derivatives (PDE). We start with a particular example,

More information

Eigenvalues and eigenfunctions of the Laplacian. Andrew Hassell

Eigenvalues and eigenfunctions of the Laplacian. Andrew Hassell Eigenvalues and eigenfunctions of the Laplacian Andrew Hassell 1 2 The setting In this talk I will consider the Laplace operator,, on various geometric spaces M. Here, M will be either a bounded Euclidean

More information

On rational approximation of algebraic functions. Julius Borcea. Rikard Bøgvad & Boris Shapiro

On rational approximation of algebraic functions. Julius Borcea. Rikard Bøgvad & Boris Shapiro On rational approximation of algebraic functions http://arxiv.org/abs/math.ca/0409353 Julius Borcea joint work with Rikard Bøgvad & Boris Shapiro 1. Padé approximation: short overview 2. A scheme of rational

More information

Functional Analysis. Martin Brokate. 1 Normed Spaces 2. 2 Hilbert Spaces The Principle of Uniform Boundedness 32

Functional Analysis. Martin Brokate. 1 Normed Spaces 2. 2 Hilbert Spaces The Principle of Uniform Boundedness 32 Functional Analysis Martin Brokate Contents 1 Normed Spaces 2 2 Hilbert Spaces 2 3 The Principle of Uniform Boundedness 32 4 Extension, Reflexivity, Separation 37 5 Compact subsets of C and L p 46 6 Weak

More information

Real Analysis Notes. Thomas Goller

Real Analysis Notes. Thomas Goller Real Analysis Notes Thomas Goller September 4, 2011 Contents 1 Abstract Measure Spaces 2 1.1 Basic Definitions........................... 2 1.2 Measurable Functions........................ 2 1.3 Integration..............................

More information

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi Real Analysis Math 3AH Rudin, Chapter # Dominique Abdi.. If r is rational (r 0) and x is irrational, prove that r + x and rx are irrational. Solution. Assume the contrary, that r+x and rx are rational.

More information

Spectral Mapping Theorem

Spectral Mapping Theorem Spectral Mapping Theorem Dan Sievewright Definition of a Hilbert space Let H be a Hilbert space over C. 1) H is a vector space over C. 2) H has an inner product, : H H C with the following properties.

More information

Nontrivial Solutions for Boundary Value Problems of Nonlinear Differential Equation

Nontrivial Solutions for Boundary Value Problems of Nonlinear Differential Equation Advances in Dynamical Systems and Applications ISSN 973-532, Volume 6, Number 2, pp. 24 254 (2 http://campus.mst.edu/adsa Nontrivial Solutions for Boundary Value Problems of Nonlinear Differential Equation

More information

Hilbert Space Problems

Hilbert Space Problems Hilbert Space Problems Prescribed books for problems. ) Hilbert Spaces, Wavelets, Generalized Functions and Modern Quantum Mechanics by Willi-Hans Steeb Kluwer Academic Publishers, 998 ISBN -7923-523-9

More information

FINAL REVIEW FOR MATH The limit. a n. This definition is useful is when evaluating the limits; for instance, to show

FINAL REVIEW FOR MATH The limit. a n. This definition is useful is when evaluating the limits; for instance, to show FINAL REVIEW FOR MATH 500 SHUANGLIN SHAO. The it Define a n = A: For any ε > 0, there exists N N such that for any n N, a n A < ε. This definition is useful is when evaluating the its; for instance, to

More information

Lecture Characterization of Infinitely Divisible Distributions

Lecture Characterization of Infinitely Divisible Distributions Lecture 10 1 Characterization of Infinitely Divisible Distributions We have shown that a distribution µ is infinitely divisible if and only if it is the weak limit of S n := X n,1 + + X n,n for a uniformly

More information

Singular Integrals. 1 Calderon-Zygmund decomposition

Singular Integrals. 1 Calderon-Zygmund decomposition Singular Integrals Analysis III Calderon-Zygmund decomposition Let f be an integrable function f dx 0, f = g + b with g Cα almost everywhere, with b

More information

NATIONAL BOARD FOR HIGHER MATHEMATICS. Research Scholarships Screening Test. Saturday, January 20, Time Allowed: 150 Minutes Maximum Marks: 40

NATIONAL BOARD FOR HIGHER MATHEMATICS. Research Scholarships Screening Test. Saturday, January 20, Time Allowed: 150 Minutes Maximum Marks: 40 NATIONAL BOARD FOR HIGHER MATHEMATICS Research Scholarships Screening Test Saturday, January 2, 218 Time Allowed: 15 Minutes Maximum Marks: 4 Please read, carefully, the instructions that follow. INSTRUCTIONS

More information

PARTIAL DIFFERENTIAL EQUATIONS. Lecturer: D.M.A. Stuart MT 2007

PARTIAL DIFFERENTIAL EQUATIONS. Lecturer: D.M.A. Stuart MT 2007 PARTIAL DIFFERENTIAL EQUATIONS Lecturer: D.M.A. Stuart MT 2007 In addition to the sets of lecture notes written by previous lecturers ([1, 2]) the books [4, 7] are very good for the PDE topics in the course.

More information

Homework 27. Homework 28. Homework 29. Homework 30. Prof. Girardi, Math 703, Fall 2012 Homework: Define f : C C and u, v : R 2 R by

Homework 27. Homework 28. Homework 29. Homework 30. Prof. Girardi, Math 703, Fall 2012 Homework: Define f : C C and u, v : R 2 R by Homework 27 Define f : C C and u, v : R 2 R by f(z) := xy where x := Re z, y := Im z u(x, y) = Re f(x + iy) v(x, y) = Im f(x + iy). Show that 1. u and v satisfies the Cauchy Riemann equations at (x, y)

More information

Functional Analysis Review

Functional Analysis Review Functional Analysis Review Lorenzo Rosasco slides courtesy of Andre Wibisono 9.520: Statistical Learning Theory and Applications September 9, 2013 1 2 3 4 Vector Space A vector space is a set V with binary

More information

Harmonic Functions and Brownian motion

Harmonic Functions and Brownian motion Harmonic Functions and Brownian motion Steven P. Lalley April 25, 211 1 Dynkin s Formula Denote by W t = (W 1 t, W 2 t,..., W d t ) a standard d dimensional Wiener process on (Ω, F, P ), and let F = (F

More information

Stability and Instability of Standing Waves for the Nonlinear Fractional Schrödinger Equation. Shihui Zhu (joint with J. Zhang)

Stability and Instability of Standing Waves for the Nonlinear Fractional Schrödinger Equation. Shihui Zhu (joint with J. Zhang) and of Standing Waves the Fractional Schrödinger Equation Shihui Zhu (joint with J. Zhang) Department of Mathematics, Sichuan Normal University & IMS, National University of Singapore P1 iu t ( + k 2 )

More information

Math 172 HW 1 Solutions

Math 172 HW 1 Solutions Math 172 HW 1 Solutions Joey Zou April 15, 2017 Problem 1: Prove that the Cantor set C constructed in the text is totally disconnected and perfect. In other words, given two distinct points x, y C, there

More information

, but still n=0 b n = b n = 1 n 6 n k=1k 5 a k. sin(x 2 + ax)

, but still n=0 b n = b n = 1 n 6 n k=1k 5 a k. sin(x 2 + ax) Analysis SEP Summer 25 Problem. (a)suppose (a n ) n= is a sequence of nonnegative real numbers such that n= a n

More information

Physics 443, Solutions to PS 2

Physics 443, Solutions to PS 2 . Griffiths.. Physics 443, Solutions to PS The raising and lowering operators are a ± mω ( iˆp + mωˆx) where ˆp and ˆx are momentum and position operators. Then ˆx mω (a + + a ) mω ˆp i (a + a ) The expectation

More information

Mathematics of Physics and Engineering II: Homework problems

Mathematics of Physics and Engineering II: Homework problems Mathematics of Physics and Engineering II: Homework problems Homework. Problem. Consider four points in R 3 : P (,, ), Q(,, 2), R(,, ), S( + a,, 2a), where a is a real number. () Compute the coordinates

More information

Hilbert Space Methods for Reduced-Rank Gaussian Process Regression

Hilbert Space Methods for Reduced-Rank Gaussian Process Regression Hilbert Space Methods for Reduced-Rank Gaussian Process Regression Arno Solin and Simo Särkkä Aalto University, Finland Workshop on Gaussian Process Approximation Copenhagen, Denmark, May 2015 Solin &

More information

Eigenfunction Estimates on Compact Manifolds with Boundary and Hörmander Multiplier Theorem

Eigenfunction Estimates on Compact Manifolds with Boundary and Hörmander Multiplier Theorem Eigenfunction Estimates on Compact anifolds with Boundary and Hörmander ultiplier Theorem by Xiangjin Xu A dissertation submitted to the Johns Hopkins University in conformity with the requirements for

More information

) ) = γ. and P ( X. B(a, b) = Γ(a)Γ(b) Γ(a + b) ; (x + y, ) I J}. Then, (rx) a 1 (ry) b 1 e (x+y)r r 2 dxdy Γ(a)Γ(b) D

) ) = γ. and P ( X. B(a, b) = Γ(a)Γ(b) Γ(a + b) ; (x + y, ) I J}. Then, (rx) a 1 (ry) b 1 e (x+y)r r 2 dxdy Γ(a)Γ(b) D 3 Independent Random Variables II: Examples 3.1 Some functions of independent r.v. s. Let X 1, X 2,... be independent r.v. s with the known distributions. Then, one can compute the distribution of a r.v.

More information

1.5 Approximate Identities

1.5 Approximate Identities 38 1 The Fourier Transform on L 1 (R) which are dense subspaces of L p (R). On these domains, P : D P L p (R) and M : D M L p (R). Show, however, that P and M are unbounded even when restricted to these

More information

MATH34032 Mid-term Test 10.00am 10.50am, 26th March 2010 Answer all six question [20% of the total mark for this course]

MATH34032 Mid-term Test 10.00am 10.50am, 26th March 2010 Answer all six question [20% of the total mark for this course] MATH3432: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH3432 Mid-term Test 1.am 1.5am, 26th March 21 Answer all six question [2% of the total mark for this course] Qu.1 (a)

More information

The Schwartz Space: Tools for Quantum Mechanics and Infinite Dimensional Analysis

The Schwartz Space: Tools for Quantum Mechanics and Infinite Dimensional Analysis Mathematics 2015, 3, 527-562; doi:10.3390/math3020527 Article OPEN ACCESS mathematics ISSN 2227-7390 www.mdpi.com/journal/mathematics The Schwartz Space: Tools for Quantum Mechanics and Infinite Dimensional

More information

Duality of multiparameter Hardy spaces H p on spaces of homogeneous type

Duality of multiparameter Hardy spaces H p on spaces of homogeneous type Duality of multiparameter Hardy spaces H p on spaces of homogeneous type Yongsheng Han, Ji Li, and Guozhen Lu Department of Mathematics Vanderbilt University Nashville, TN Internet Analysis Seminar 2012

More information

CONTENTS. 4 Hausdorff Measure Introduction The Cantor Set Rectifiable Curves Cantor Set-Like Objects...

CONTENTS. 4 Hausdorff Measure Introduction The Cantor Set Rectifiable Curves Cantor Set-Like Objects... Contents 1 Functional Analysis 1 1.1 Hilbert Spaces................................... 1 1.1.1 Spectral Theorem............................. 4 1.2 Normed Vector Spaces.............................. 7 1.2.1

More information

Final. due May 8, 2012

Final. due May 8, 2012 Final due May 8, 2012 Write your solutions clearly in complete sentences. All notation used must be properly introduced. Your arguments besides being correct should be also complete. Pay close attention

More information

BLOWUP THEORY FOR THE CRITICAL NONLINEAR SCHRÖDINGER EQUATIONS REVISITED

BLOWUP THEORY FOR THE CRITICAL NONLINEAR SCHRÖDINGER EQUATIONS REVISITED BLOWUP THEORY FOR THE CRITICAL NONLINEAR SCHRÖDINGER EQUATIONS REVISITED TAOUFIK HMIDI AND SAHBI KERAANI Abstract. In this note we prove a refined version of compactness lemma adapted to the blowup analysis

More information

Magnetic wells in dimension three

Magnetic wells in dimension three Magnetic wells in dimension three Yuri A. Kordyukov joint with Bernard Helffer & Nicolas Raymond & San Vũ Ngọc Magnetic Fields and Semiclassical Analysis Rennes, May 21, 2015 Yuri A. Kordyukov (Ufa) Magnetic

More information

On the Stokes semigroup in some non-helmholtz domains

On the Stokes semigroup in some non-helmholtz domains On the Stokes semigroup in some non-helmholtz domains Yoshikazu Giga University of Tokyo June 2014 Joint work with Ken Abe (Nagoya U.), Katharina Schade (TU Darmstadt) and Takuya Suzuki (U. Tokyo) Contents

More information

Asymptotic behavior of infinity harmonic functions near an isolated singularity

Asymptotic behavior of infinity harmonic functions near an isolated singularity Asymptotic behavior of infinity harmonic functions near an isolated singularity Ovidiu Savin, Changyou Wang, Yifeng Yu Abstract In this paper, we prove if n 2 x 0 is an isolated singularity of a nonegative

More information

Approximation by Conditionally Positive Definite Functions with Finitely Many Centers

Approximation by Conditionally Positive Definite Functions with Finitely Many Centers Approximation by Conditionally Positive Definite Functions with Finitely Many Centers Jungho Yoon Abstract. The theory of interpolation by using conditionally positive definite function provides optimal

More information

Partial Differential Equations

Partial Differential Equations M3M3 Partial Differential Equations Solutions to problem sheet 3/4 1* (i) Show that the second order linear differential operators L and M, defined in some domain Ω R n, and given by Mφ = Lφ = j=1 j=1

More information

On the Spectral Expansion Formula for a Class of Dirac Operators

On the Spectral Expansion Formula for a Class of Dirac Operators Malaya J. Mat. 42216 297 34 On the Spectral Expansion Formula for a Class of Dirac Operators O. Akcay a, and Kh. R. Mamedov b a,b Department of Mathematics, Mersin University, 33343, Mersin, Turkey. Abstract

More information

SARASON S COMPOSITION OPERATOR OVER THE HALF-PLANE

SARASON S COMPOSITION OPERATOR OVER THE HALF-PLANE SARASON S COMPOSITION OPERATOR OVER THE HALF-PLANE BOO RIM CHOE, HYUNGWOON KOO, AND WAYNE SMITH In memory of Donald Sarason Abstract. Let H = {z C : Im z > 0} be the upper half plane, and denote by L p

More information

ON THE SHAPE OF THE GROUND STATE EIGENFUNCTION FOR STABLE PROCESSES

ON THE SHAPE OF THE GROUND STATE EIGENFUNCTION FOR STABLE PROCESSES ON THE SHAPE OF THE GROUND STATE EIGENFUNCTION FOR STABLE PROCESSES RODRIGO BAÑUELOS, TADEUSZ KULCZYCKI, AND PEDRO J. MÉNDEZ-HERNÁNDEZ Abstract. We prove that the ground state eigenfunction for symmetric

More information

4 Divergence theorem and its consequences

4 Divergence theorem and its consequences Tel Aviv University, 205/6 Analysis-IV 65 4 Divergence theorem and its consequences 4a Divergence and flux................. 65 4b Piecewise smooth case............... 67 4c Divergence of gradient: Laplacian........

More information

Iowa State University. Instructor: Alex Roitershtein Summer Homework #1. Solutions

Iowa State University. Instructor: Alex Roitershtein Summer Homework #1. Solutions Math 501 Iowa State University Introduction to Real Analysis Department of Mathematics Instructor: Alex Roitershtein Summer 015 EXERCISES FROM CHAPTER 1 Homework #1 Solutions The following version of the

More information

Symmetrization and minimax principles

Symmetrization and minimax principles Symmetrization and minimax principles Jean Van Schaftingen July 20, 2004 Abstract We develop a method to prove that some critical levels for functionals invariant by symmetry obtained by minimax methods

More information

Mathematical Methods for Physics and Engineering

Mathematical Methods for Physics and Engineering Mathematical Methods for Physics and Engineering Lecture notes for PDEs Sergei V. Shabanov Department of Mathematics, University of Florida, Gainesville, FL 32611 USA CHAPTER 1 The integration theory

More information

The Dirichlet problem for non-divergence parabolic equations with discontinuous in time coefficients in a wedge

The Dirichlet problem for non-divergence parabolic equations with discontinuous in time coefficients in a wedge The Dirichlet problem for non-divergence parabolic equations with discontinuous in time coefficients in a wedge Vladimir Kozlov (Linköping University, Sweden) 2010 joint work with A.Nazarov Lu t u a ij

More information

************************************* Partial Differential Equations II (Math 849, Spring 2019) Baisheng Yan

************************************* Partial Differential Equations II (Math 849, Spring 2019) Baisheng Yan ************************************* Partial Differential Equations II (Math 849, Spring 2019) by Baisheng Yan Department of Mathematics Michigan State University yan@math.msu.edu Contents Chapter 1.

More information

1 Orthonormal sets in Hilbert space

1 Orthonormal sets in Hilbert space Math 857 Fall 15 1 Orthonormal sets in Hilbert space Let S H. We denote by [S] the span of S, i.e., the set of all linear combinations of elements from S. A set {u α : α A} is called orthonormal, if u

More information

Series Solution of Linear Ordinary Differential Equations

Series Solution of Linear Ordinary Differential Equations Series Solution of Linear Ordinary Differential Equations Department of Mathematics IIT Guwahati Aim: To study methods for determining series expansions for solutions to linear ODE with variable coefficients.

More information

ON FRACTAL DIMENSION OF INVARIANT SETS

ON FRACTAL DIMENSION OF INVARIANT SETS ON FRACTAL DIMENSION OF INVARIANT SETS R. MIRZAIE We give an upper bound for the box dimension of an invariant set of a differentiable function f : U M. Here U is an open subset of a Riemannian manifold

More information