Domains of analyticity for response solutions in strongly dissipative forced systems

Similar documents
Construction of quasi-periodic response solutions in forced strongly dissipative systems

Quasi-periodic motions in strongly dissipative forced systems

Summation of divergent series and Borel summability for strongly dissipative equations with periodic or quasi-periodic forcing terms

Summation of divergent series and Borel summability for strongly dissipative differential equations with periodic or quasiperiodic forcing terms

Diagrammatic Methods in Classical Perturbation Theory

Globally and locally attractive solutions for quasi-periodically forced systems

Resummations of self energy graphs and KAM theory G. Gentile (Roma3), G.G. (I.H.E.S.) Communications in Mathematical Physics, 227, , 2002.

Resummations of self-energy graphs and KAM theory G. Gentile (Roma3), G.G. (The.H.E.S.) Communications in Mathematical Physics, 227, , 2002.

1 Divergent series summation in Hamilton Jacobi equation (resonances) G. Gentile, G.G. α = ε α f(α)

Elliptic resonances and summation of divergent series

Divergent series resummations: examples in ODE s & PDE s

Resonances, Divergent series and R.G.: (G. Gentile, G.G.) α = ε α f(α) α 2. 0 ν Z r

Unit 3: HW3.5 Sum and Product

Szemerédi-Trotter theorem and applications

RENORMALIZATION GROUP AND FIELD THEORETIC TECHNIQUES FOR THE ANALYSIS OF THE LINDSTEDT SERIES ALBERTO BERRETTI AND GUIDO GENTILE

A2 HW Imaginary Numbers

Invariant sets for the varactor equation

MTH4101 CALCULUS II REVISION NOTES. 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) ax 2 + bx + c = 0. x = b ± b 2 4ac 2a. i = 1.

LOCAL BEHAVIOR NEAR QUASI PERIODIC SOLUTIONS OF CONFORMALLY SYMPLECTIC SYSTEMS

Homogenization of Penrose tilings

Roots are: Solving Quadratics. Graph: y = 2x 2 2 y = x 2 x 12 y = x 2 + 6x + 9 y = x 2 + 6x + 3. real, rational. real, rational. real, rational, equal

Department of Mathematics, University of Wisconsin-Madison Math 114 Worksheet Sections 3.1, 3.3, and 3.5

u xx + u yy = 0. (5.1)

Lecture 3: Asymptotic Methods for the Reduced Wave Equation

Math-2A Lesson 13-3 (Analyzing Functions, Systems of Equations and Inequalities) Which functions are symmetric about the y-axis?

1. Use the properties of exponents to simplify the following expression, writing your answer with only positive exponents.

An introduction to Birkhoff normal form

Rao s degree sequence conjecture

Oblique derivative problems for elliptic and parabolic equations, Lecture II

EXISTENCE AND UNIQUENESS FOR A THREE DIMENSIONAL MODEL OF FERROMAGNETISM

BUILT YOU. ACT Pathway. for

INTRODUCTION TO REAL ANALYTIC GEOMETRY

MCPS Algebra 2 and Precalculus Standards, Categories, and Indicators*

A NICE DIOPHANTINE EQUATION. 1. Introduction

Rambo s Math GRE Practice Test. Charles Rambo

Math 120, Sample Final Fall 2015

1 + lim. n n+1. f(x) = x + 1, x 1. and we check that f is increasing, instead. Using the quotient rule, we easily find that. 1 (x + 1) 1 x (x + 1) 2 =

2.4 Lecture 7: Exponential and trigonometric

4 CONNECTED PROJECTIVE-PLANAR GRAPHS ARE HAMILTONIAN. Robin Thomas* Xingxing Yu**

ARITHMETIC PROGRESSIONS IN CYCLES OF QUADRATIC POLYNOMIALS

Normal form for the non linear Schrödinger equation

CORRIGENDUM: THE SYMPLECTIC SUM FORMULA FOR GROMOV-WITTEN INVARIANTS

Perturbation theory, KAM theory and Celestial Mechanics 7. KAM theory

a k 0, then k + 1 = 2 lim 1 + 1

King Fahd University of Petroleum and Minerals Prep-Year Math Program Math Term 161 Recitation (R1, R2)

ERRATA: Probabilistic Techniques in Analysis

Parabolas infiltrating the Ford circles

AN EXAMPLE OF FUNCTIONAL WHICH IS WEAKLY LOWER SEMICONTINUOUS ON W 1,p FOR EVERY p > 2 BUT NOT ON H0

KAM theory: a journey from conservative to dissipative systems

FINAL EXAM CALCULUS 2. Name PRACTICE EXAM

1. Introduction. 2. Outlines

Pre-Calculus: Functions and Their Properties (Solving equations algebraically and graphically, matching graphs, tables, and equations, and

KAM for quasi-linear KdV. Pietro Baldi, Massimiliano Berti, Riccardo Montalto

Integrated Math 3 Math 3 Course Description:

A Lower Bound for the Size of Syntactically Multilinear Arithmetic Circuits

Problem Set. Problem Set #1. Math 5322, Fall March 4, 2002 ANSWERS

MAT116 Final Review Session Chapter 3: Polynomial and Rational Functions

Math 181, Exam 2, Study Guide 2 Problem 1 Solution. 1 + dx. 1 + (cos x)2 dx. 1 + cos2 xdx. = π ( 1 + cos π 2

Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games

Periodic solutions for a class of nonlinear partial differential equations in higher dimension

A LOCALIZATION PROPERTY AT THE BOUNDARY FOR MONGE-AMPERE EQUATION

36. Double Integration over Non-Rectangular Regions of Type II

SYMMETRY RESULTS FOR PERTURBED PROBLEMS AND RELATED QUESTIONS. Massimo Grosi Filomena Pacella S. L. Yadava. 1. Introduction

An introduction to Mathematical Theory of Control

9.5. Polynomial and Rational Inequalities. Objectives. Solve quadratic inequalities. Solve polynomial inequalities of degree 3 or greater.

NOTES ON CALCULUS OF VARIATIONS. September 13, 2012

( ) ( ) ( ) ( ) Given that and its derivative are continuous when, find th values of and. ( ) ( )

Weak convergence and Brownian Motion. (telegram style notes) P.J.C. Spreij

Tennessee s State Mathematics Standards - Algebra II

Columbus City Schools High School CCSS Mathematics III - High School PARRC Model Content Frameworks Mathematics - Core Standards And Math Practices

Taylor and Laurent Series

= 10 such triples. If it is 5, there is = 1 such triple. Therefore, there are a total of = 46 such triples.

Chapter 8 ~ Quadratic Functions and Equations In this chapter you will study... You can use these skills...

(a) Write down the value of q and of r. (2) Write down the equation of the axis of symmetry. (1) (c) Find the value of p. (3) (Total 6 marks)

Learning Objectives for Math 166

Dipartimento di Matematica

Some basic elements of Probability Theory

MATH 6337: Homework 8 Solutions

CHINO VALLEY UNIFIED SCHOOL DISTRICT INSTRUCTIONAL GUIDE ALGEBRA II

GRE Math Subject Test #5 Solutions.

Algebra Performance Level Descriptors

EXISTENCE AND REGULARITY RESULTS FOR SOME NONLINEAR PARABOLIC EQUATIONS

y = x 3 and y = 2x 2 x. 2x 2 x = x 3 x 3 2x 2 + x = 0 x(x 2 2x + 1) = 0 x(x 1) 2 = 0 x = 0 and x = (x 3 (2x 2 x)) dx

Journal of Inequalities in Pure and Applied Mathematics

3 + 4i 2 + 3i. 3 4i Fig 1b

GRAND SOBOLEV SPACES AND THEIR APPLICATIONS TO VARIATIONAL PROBLEMS

Fall 2013 Hour Exam 2 11/08/13 Time Limit: 50 Minutes

POSITIVE AND NEGATIVE CORRELATIONS FOR CONDITIONAL ISING DISTRIBUTIONS

MATH 31B: MIDTERM 2 REVIEW. sin 2 x = 1 cos(2x) dx = x 2 sin(2x) 4. + C = x 2. dx = x sin(2x) + C = x sin x cos x

Dispersion for the Schrodinger Equation on discrete trees

Nonlinear Diffusion in Irregular Domains

Algebra 2 Khan Academy Video Correlations By SpringBoard Activity

SKILL BUILDER TEN. Graphs of Linear Equations with Two Variables. If x = 2 then y = = = 7 and (2, 7) is a solution.

Name: Answer Key David Arnold. Math 50B Integral Calculus May 13, Final Exam

Algebra 2 Khan Academy Video Correlations By SpringBoard Activity

Math 120: Precalculus Autumn 2017 A List of Topics for the Final

FIVE-LIST-COLORING GRAPHS ON SURFACES II. A LINEAR BOUND FOR CRITICAL GRAPHS IN A DISK

Massachusetts Institute of Technology Department of Physics. Final Examination December 17, 2004

Math Curriculum Map: Integrated Algebra II Unit: 1 Quarter: Time Frame: Review of Algebra 13 days Essential Questions: Key Concepts: Key Vocabulary:

Transcription:

Domains of analyticity for response solutions in strongly dissipative forced systems Livia Corsi 1, Roberto Feola 2 and Guido Gentile 2 1 Dipartimento di Matematica, Università di Napoli Federico II, Napoli, I-80126, Italy 2 Dipartimento di Matematica, Università di Roma Tre, Roma, I-00146, Italy E-mail: livia.corsi@unina.it, roberto feola@hotmail.com, gentile@mat.uniroma3.it Abstract We study the analyticity properties on ε of the ordinary differential equation εẍ + ẋ + εg(x) = εf(ωt), where g and f are real-analytic functions, with f quasi-periodic in t with frequency vector ω. A response solution is a quasi-periodic solution to the equation with the same frequency vector as the forcing. If c 0 R is such that g(c 0 ) equals the average of f and g (c 0 ) 0, under very mild assumptions on ω there exists a response solution close to c 0. In particular no assumption at all is required on ω if f is a trigonometric polynomial. We show that such a response solution depends analytically on ε in a domain of the complex plane tangent more than quadratically to the imaginary axis at the origin. 1 Introduction Consider the ordinary differential equation in R εẍ + ẋ + ε g(x) = ε f(ωt), (1.1) where ε R is small and ω R d, with d N, is assumed (without loss of generality) to have rationally independent components, i.e. ω ν 0 ν Z d := Z d \ {0}. For ε > 0 the equation describes a one-dimensional system with mechanical force g, subject to a quasiperiodic forcing f with frequency vector ω and in the presence of strong dissipation. We refer to [2] for some physical background. A quasi-periodic solution to (1.1) with the same frequency vector ω as the forcing will be called a response solution. The functions g : R R and f : T d R are assumed to be real-analytic. In particular f is analytic in a strip Σ ξ := {ψ = (ψ 1,..., ψ d ) (C/2πZ) d : Im ψ k ξ for k = 1,..., d}, with ξ > 0. We also assume that there is c 0 R such that g(c 0 ) = f 0, where f 0 is the average of f on T d, and a := g (c 0 ) 0. In other words c 0 is a simple zero of the function g(x) f 0. Before stating our results we need some more notations. We define the sets C R = {ε C : Re ε 1 > (2R) 1 } and Ω R,B = {ε C : Re ε B (Im ε) 2 and 0 < ε < 2R}. C R consists of two disks with radius R and centers (R, 0) and ( R, 0), while Ω B,R is the 1

intersection of the disk of center (0, 0) and radius 2R with two parabolas with vertex at the origin: all such sets are tangent at the origin to the imaginary axis. Note that the smaller B, the more flattened are the parabolas. If 2RB < 1 one has C R Ω B,R. Finally we introduce the following quantities depending on ω: β n (ω) := min { ω ν : 0 < ν 2 n, f ν 0 }, ε n (ω) := 1 2 n log 1 β n (ω), 1 B(ω) := 2 n log 1 α n (ω), α n(ω) := min { ω ν : 0 < ν 2 n}. n=0 Under the assumptions above on f and g, the following result has been proved in [1]. Theorem 1.1. Assume lim n ε n(ω) = 0. Then there exist ε 0 > 0 and B 0 > 0 such that for all B > B 0 there is a response solution x(t) = c 0 + u(ωt, ε) to (1.1), with u(ψ, ε) = O(ε) analytic in ψ Σ ξ and ε Ω ε0,b, for some ξ < ξ. In the theorem above ε 0 has to be small, while B 0 must be large enough. However, for B as close as wished to B 0 one can take ε < ε 0 small enough for the condition εb < 1 to be satisfied, so as to obtain that C ε/2 is contained inside the analyticity domain. In this respect Theorem 1.1 extends previous results in the literature [2, 3], where analyticity in a pair of disks was obtained under stronger conditions on ω, such as the standard Diophantine condition ω ν > γ ν τ ν Z d, (1.2) or the Bryuno condition B(ω) < If either d = 1 or d = 2 and ω satisfies the standard Diophantine condition (1.2) with τ = 1, the response solution is Borel-summable. In the present letter we remove in Theorem 1.1 the condition for B to be large, by proving the following result. Theorem 1.2. Assume lim ε n(ω) = 0, where ε n (ω) is defined as in Theorem 1.1. Then n for all B > 0 there exists ε 0 > 0 such that there is a response solution x(t) = c 0 + u(ωt, ε) to (1.1), with u(ψ, ε) = O(ε) analytic in ψ Σ ξ and ε Ω ε0,b, for some ξ < ξ. The dependence of ε 0 on B is of the form ε 0 = ε 1 B α, for some α > 0 and ε 1 independent of B. The proof of the theorem given in Section 3 yields the value α = 8: such a value is non-optimal and could be improved by a more careful analysis. Thanks to Theorem 1.2 we can estimate the domain of analyticity by the convolution of the domains Ω ε0,b, with ε 0 = B α ε 1, by letting B varying in [0, 1]. This provides a domain that near the origin has boundary of the form x ε β 0 y2+β, where β = 1/α. 2 Tree representation By the analyticity assumptions on f and g we can write f(ψ) = ν Z d e iν ψ f ν, g(x) = 2 a p x p, p=0

where f ν Φ e ξ ν, a p := 1 d p g p! dx p (c 0), a p Γ ρ p, for suitable constants Φ, Γ and ρ. We can rewrite (1.1) as εẍ + ẋ + ε a x + µε a p x p = µε e iν ψ f ν, (2.1) p=2 where a := a 1 and µ = 1. However, we can consider µ as a free parameter and study (2.1) for ε C and µ R. Then we look for a quasi-periodic solution to (2.1) of the form x(t, ε, µ) = c 0 + u(ωt, ε, µ), u(ψ, ε, µ) = ν (ε). (2.2) ν Z d k=1 ν Z d µ k e iν ψ u (k) By inserting (2.2) into (2.1) we obtain a recursive definition for the coefficients u ν (k) (ε), which admits a natural graphical representation in terms of trees. A rooted tree θ is a graph with no cycle, such that all the lines are oriented toward a unique point (root) which has only one incident line (root line). All the points in θ except the root are called nodes. The orientation of the lines in θ induces a partial ordering relation ( ) between the nodes. Given two nodes v and w, we shall write w v every time v is along the path (of lines) which connects w to the root. We shall write w l if w v, where v is the node which l exits. For any node v denote by p v the number of lines entering v: v is called and end node if p v = 0 and an internal node if p v > 0. We denote by N(θ) the set of nodes, by E(θ) the set of end nodes, by V (θ) the set of internal nodes and by L(θ) the set of lines; one has N(θ) = E(θ) V (θ). We associate with each end node v E(θ) a mode label ν v Z d and with each internal node an degree label d v {0, 1}. With each line l L(θ) we associate a momentum ν l Z d. We impose the following constraints on the labels: 1. ν l = w E l (θ) ν w, where E l (θ) := {w E(θ) : w l}; 2. p v 2 v V (θ); 3. if d v = 0 then the line l exiting v has ν l = 0. We shall write V (θ) = V 0 (θ) V 1 (θ), where V 0 (θ) := {v V (θ) : d v = 0}. For any discrete set A we denote by A its cardinality. Define the degree and the order of θ as d(θ) := E(θ) + V 1 (θ) and k(θ) := N(θ), respectively. We call equivalent two labelled rooted trees which can be transformed into each other by continuously deforming the lines in such a way that they do not cross each other. In the following we shall consider only inequivalent labelled rooted trees, and we shall call them call trees tout court, for simplicity. We associate with each node v N(θ) a node factor F v and with each line l L(θ) a propagator G l, such that { { ε dv a pv, v V (θ), 1/D(ε, ω ν l ), ν l 0, F v := G l := ε f νv, v E(θ), 1/a, ν l = 0, 3

where D(ε, s) := εs 2 + is + ε a. Then, by defining ( )( ) V (θ, ε) := F v G l v N(θ) l L(θ) (2.3) one has u (k) ν (ε) = V (θ, ε), ν 0, u (k) 0 (ε) = V (θ, ε), (2.4) θ T k,ν θ T k,0 where T k,ν is the set of trees of order k and momentum ν associated with the root line. Note that u (1) 0 = 0 and u(2) ν = 0 for all ν Z d. 3 Proof of Theorem 1.2 Lemma 3.1. Set c 0 = min{1/8, B/18, B/8 a, a /8, a B/4, a /2}. There exists ε 1 > 0 such that one has D(ε, s) c 0 max{min{1, s 2 }, ε 2 } for all s R and all ε Ω B,ε1. Proof. Write ε = x + iy, with x By 2 and x small enough. By symmetry it is enough to study y 0. One has D(ε, s) 2 = (s + ya ys 2 ) 2 + x 2 (a s 2 ) 2. If y = 0 the bound is straightforward. If y > 0 denote by s 1 and s 2 the two roots of s + ya ys 2 = 0: one has s 1 = ay + O(y 2 ) and s 2 = 1/y + ay + O(y 2 ). Let ε 1 be so small that s 1 + ay a y/2, s 2 1/y 1/6y and 18 a y 2 1 for ε ε 1. The following inequalities are easily checked: (1) if s < 2 a y, then x a s 2 ax /2 a By 2 /2 Bs 2 /8 a ; (2) if s s 2 < 1/2y, then x a s 2 x s 2 /2 x /18y 2 B/18; (3) if s 2 a y and s s 2 1/2y, then (3.1) s + ya ys 2 y s s 1 s s 2 a y/4, (3.2) s + ya ys 2 s s 1 /2 s /8, (3.3) if either a < 0 or a > 0 and a s 2 > a /2 one has x a s 2 > ax /2, while if a > 0 and a s 2 a /2 one has s + ya ys 2 s y a s 2 a/2. By collecting together all the bounds the assertion follows. Lemma 3.2. For any tree θ one has E(θ) V (θ) + 1 and hence 2 E(θ) k(θ) + 1. Proof. By induction on the order k(θ). For v V 1 (θ) define E(θ, v) := {w E(θ) : the line exiting w enters v} and set r v := E(θ, v), s v := p v r v, µ v := ν w and µ v := µ v. Define V 2 (θ) := {v V (θ) : s v = 0} and V 3 (θ) := {v V (θ) : r v = s v = 1}. For v V 2 (θ) call l v the line exiting v, and for v V 3 (θ) call l v the line exiting v and l v the line entering v which does not exits an end node. Define V 2 (θ) := {v V 2 (θ) : ν lv 0} and V 3 (θ) := {v V 3 (θ) : ν lv 0 and ν l v 0}, and set V 1 (θ) = V 2 (θ) V 3 (θ). By construction one has V 1 (θ) V 1 (θ). Lemma 3.3. There exists C 0 > 0 such that C 0 ω ν e ξ ν /16 ν Z d. Proof. It follows from the hypothesis on ω. Lemma 3.4. One has C 0 ω ν lv e ξµv/16 for v V 2 (θ) and 2C 0 max{ ω ν lv, ω ν l v } e ξµv/16 for v V 3 (θ). 4

Proof. For v V 2 (θ) one has ν lv = µ v, so that one can use Lemma 3.3. For v V 3 (θ) one proceeds by contradiction. Suppose that the assertion is false: this would imply e ξµv/16 > C 0 ω ν lv + C 0 ω ν l v C 0 ω (ν lv ν l v ) = C 0 ω µ v e ξµv/16, where we have used that E(θ, v) contains only one node w and hence µ v = ν w 0. Define L 1 (θ, v) := {l v } for v V 2 (θ) and L 1 (θ, v) := {l {l v, l v} : 2C 0 ω ν l e ξµv/16 } for v V 3 (θ). Lemma 3.4 yields L 1 (θ, v) for all v V 1 (θ). Set also L 1 (θ) := {l L(θ) : v V 1 (θ) such that l L 1 (θ, v)}, L int (θ) := {l L(θ) : l exits a node v V 1 (θ)} and L 0 (θ) := L int (θ) \ L 1 (θ). Lemma 3.5. For any tree θ one has 4 L 0 (θ) 3 E(θ) 4. Proof. By induction on V (θ). If V (θ) = 1 then either V (θ) = V 0 (θ) or V (θ) = V 2 (θ) and hence L 0 (θ) = 0, so that the bound holds. If V (θ) 2 the root line l 0 of θ exits a node v 0 V (θ) with s v0 + r v0 2 and s v0 1. Call θ 1,..., θ sv0 the trees whose respective root lines l 1,..., l sv0 enter v 0 : one has E(θ) = E(θ 1 ) +... + E(θ sv0 ) + r v0. If l 0 / L 0 (θ) then L 0 (θ) = L 0 (θ 1 ) +... + L 0 (θ sv0 ) and the bound follows from the inductive hypothesis. If l 0 L 0 (θ) then one has L 0 (θ) = 1 + L 0 (θ 1 ) +... + L 0 (θ sv0 ), so that, again by the inductive hypothesis, 4 L 0 (θ) 3 E(θ) 3r v0 4 (s v0 1). If either r v0 + s v0 3 or r v0 + s v0 = 2 and s v0 = 2, the bound follows. If r v0 + s v0 = 2 and s v0 = 1, then v 0 V 3 (θ), so that either ν l1 = 0 or 2C 0 ω ν l1 e ξµv 0 /16, by Lemma 3.5, because l L 0 (θ) and hence 2C 0 ω ν l0 < e ξµv 0 /16. Therefore l 1 / L 0 (θ). If v 1 is the line which l 1 exits, call θ 1,..., θ s v1 the trees whose root lines enter v 1 : one has L 0 (θ) = 1+ L(θ 1 ) +...+ L 0(θ s v1 ) and hence, by the inductive hypothesis, 4 L 0 (θ) 3 E(θ) 3r v0 3r v1 4 (s v1 1), where 3r v0 + 3r v1 + 4s v1 4 5, so that the bound follows in this case too. Lemma 3.6. For any k 1 and ν Z d and any tree θ T k,ν one has V (θ, ε) A k 0c k k+1 0 ε 1+ 8 e 5ξ νv /8, v E(θ) with A 0 a positive constant depending on Φ, Γ and ρ, and c 0 as in Lemma 3.1. Proof. One bounds (2.3) as ( )( V (θ, ε) ε d(θ) a pv v V (θ) v E(θ) f νv )( l L(θ) We deal with the propagators by using Lemma 3.1 as follows. If l exits a node v V 2 (θ), then we have G l 1 f νw f νw G lw c 0 ω ν l 2 c 0 ω ν w 2 c 1 0 C2 0(c 1 0 C2 0Φ) E(θ,v) e 3ξ νw /4, G l ). where l w denotes the line exiting w. For the other lines in L 1 (θ) we distinguish three cases: given a node v V 3 (θ) and denoting by v the node which the line l v exits, (1) if either 5

l v / L 1 (θ, v) or l v L 1 (θ, v ), we proceed as for the nodes v V 2 (θ) with l = l v and obtain the same bound; (2) if L 1 (θ, v) = {l v} and l v / L 1 (θ, v ), we proceed as for the nodes v V 2 (θ) with l = l v and we obtain the same bound once more; (3) if both lines l v, l v belong to L 1 (θ, v) and l v / L 1 (θ, w), we bound G lv G l v f νv G lw c 2 0 C4 0(c 1 0 C2 0Φ) E(θ,v) e 5ξ νw /8. For all the other propagators we bound (1) G l 1/ a if l exits a node v V 0 (θ), (2) G l c0 1 ω ν l 2 if l exits an end node and has not been already used in the bounds above for the lines l L 1 (θ), and (3) G l c 1 0 ε 2 if l L 0 (θ). Then we obtain V (θ, ε) ε d(θ) 2 L 0(θ) Γ V (θ) ρ N(θ) (c 1 0 C2 0) V 1(θ) (c 1 0 C2 0Φ) E 1(θ) a V 0(θ) e 5ξ ν /8, where we can bound, by using Lemma 3.2 and Lemma 3.5, d(θ) 2 L 0 (θ) = E(θ) + V 1 (θ) 2 L 0 (θ) E(θ) L 0 (θ) 1 + E(θ) /4 1 + (k(θ) + 1)/8, so that the assertion follows. Lemma 3.7. For any k 1 and ν Z d one has u (k) (ε) A k 1c k ν 0 e ξ ν /2 k+1 1+ ε 8, with A 1 a positive constant C depending on Φ, Γ, ξ and ρ, and c 0 as in Lemma 3.1. Proof. The coefficients u (k) ν are given by (2.4). Each value V (θ, ε) is bounded through Lemma 3.6. The sum over the Fourier labels is performed by using a factor e ξ νv /8 for each end node v E(θ). The sum over the other labels is easily bounded by a constant to the power k. Lemma 3.7 implies that for ε small enough the series (2.2) converges uniformly to a function analytic in ψ Σ ξ, with ξ < ξ/2. Moreover such a function is analytic in ε Ω ε0,b, provided A 8 1 ε 0/c 8 0 is small enough. This completes the proof of Theorem 1.2. References [1] R. Calleja, A. Celletti, R. de la Llave, Construction of response functions in forced strongly dissipative systems, Preprint, 2012, mp arc 12-79. [2] G. Gentile, M.V. Bartuccelli, J.H.B. Deane, Summation of divergent series and Borel summability for strongly dissipative differential equations with periodic or quasiperiodic forcing terms, J. Math. Phys. 46 (2005), no. 6, 062704, 21 pp. [3] G. Gentile, M.V. Bartuccelli, J.H.B. Deane, Quasiperiodic attractors, Borel summability and the Bryuno condition for strongly dissipative systems, J. Math. Phys. 47 (2006), no. 7, 072702, 10 pp. 6