Ordinary Differential Equations: Homework 2

Similar documents
Ordinary Differential Equations: Homework 1

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold

Section 2.1 The Derivative and the Tangent Line Problem

Tensors, Fields Pt. 1 and the Lie Bracket Pt. 1

SYSTEMS OF DIFFERENTIAL EQUATIONS, EULER S FORMULA. where L is some constant, usually called the Lipschitz constant. An example is

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

II. First variation of functionals

Nonlinear Systems Theory

1 Lecture 20: Implicit differentiation

The Explicit Form of a Function

model considered before, but the prey obey logistic growth in the absence of predators. In

Introduction to the Vlasov-Poisson system

Lecture 6: Calculus. In Song Kim. September 7, 2011

MATH2231-Differentiation (2)

x = c of N if the limit of f (x) = L and the right-handed limit lim f ( x)

d dx [xn ] = nx n 1. (1) dy dx = 4x4 1 = 4x 3. Theorem 1.3 (Derivative of a constant function). If f(x) = k and k is a constant, then f (x) = 0.

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The Natural Logarithm

Calculus of Variations

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

LMI Methods in Optimal and Robust Control

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes

Recapitulation of Mathematics

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule

Darboux s theorem and symplectic geometry

ON THE RIEMANN EXTENSION OF THE SCHWARZSCHILD METRICS

Derivative of a Constant Multiple of a Function Theorem: If f is a differentiable function and if c is a constant, then

1 Heisenberg Representation

1. Aufgabenblatt zur Vorlesung Probability Theory

3.2 Differentiability

Section 7.2. The Calculus of Complex Functions

Section 2.7 Derivatives of powers of functions

Quantum Mechanics in Three Dimensions

4 Inverse function theorem

February 21 Math 1190 sec. 63 Spring 2017

Lecture 1b. Differential operators and orthogonal coordinates. Partial derivatives. Divergence and divergence theorem. Gradient. A y. + A y y dy. 1b.

Schrödinger s equation.

ON TAUBERIAN CONDITIONS FOR (C, 1) SUMMABILITY OF INTEGRALS

The Principle of Least Action

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1

Ordinary Differential Equations

Math 1271 Solutions for Fall 2005 Final Exam

Switching Time Optimization in Discretized Hybrid Dynamical Systems

Problem set 2: Solutions Math 207B, Winter 2016

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) 2t 1 + t 2 cos x = 1 t2 sin x =

Slopes and Rates of Change

Poincaré Map, Floquet Theory, and Stability of Periodic Orbits

A. Incorrect! The letter t does not appear in the expression of the given integral

Chapter 3 Definitions and Theorems

Short Review of Basic Mathematics

Chapter 2 Lagrangian Modeling

Table of Common Derivatives By David Abraham

(a 1 m. a n m = < a 1/N n

Free rotation of a rigid body 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012

Calculus in the AP Physics C Course The Derivative

Euler equations for multiple integrals

Define each term or concept.

Outline. MS121: IT Mathematics. Differentiation Rules for Differentiation: Part 1. Outline. Dublin City University 4 The Quotient Rule

Section The Chain Rule and Implicit Differentiation with Application on Derivative of Logarithm Functions

PDE Notes, Lecture #11

Math 211A Homework. Edward Burkard. = tan (2x + z)

. ISSN (print), (online) International Journal of Nonlinear Science Vol.6(2008) No.3,pp

12.5. Differentiation of vectors. Introduction. Prerequisites. Learning Outcomes

Lecture 2 Lagrangian formulation of classical mechanics Mechanics

Implicit Differentiation

Dynamical Systems and a Brief Introduction to Ergodic Theory

Summary: Differentiation

An algebraic expression of stable inversion for nonminimum phase systems and its applications

lim Prime notation can either be directly applied to a function as previously seen with f x 4.1 Basic Techniques for Finding Derivatives

MATH 220 solution to homework 1

18 EVEN MORE CALCULUS

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1

Chapter 2: First Order DE 2.4 Linear vs. Nonlinear DEs

1 Math 285 Homework Problem List for S2016

Solutions to Math 41 Second Exam November 4, 2010

Balance laws on domains with moving interfaces. The enthalpy method for the ice melting problem.

Implicit Differentiation

Section 7.1: Integration by Parts

Linear ODEs. Types of systems. Linear ODEs. Definition (Linear ODE) Linear ODEs. Existence of solutions to linear IVPs.

The Explicit Form of a Function

Approximate Reduction of Dynamical Systems

Chapter 2 Derivatives

Diagonalization of Matrices Dr. E. Jacobs

IB Math High Level Year 2 Calc Differentiation Practice IB Practice - Calculus - Differentiation (V2 Legacy)

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson

Linear Algebra- Review And Beyond. Lecture 3

Calculus and optimization

LINEAR DIFFERENTIAL EQUATIONS OF ORDER 1. where a(x) and b(x) are functions. Observe that this class of equations includes equations of the form

Vectors in two dimensions

Physics 5153 Classical Mechanics. The Virial Theorem and The Poisson Bracket-1

THE DIVERGENCE. 1. Interpretation of the divergence 1 2. The divergence theorem Gauss law 6

Lecture 5. Symmetric Shearer s Lemma

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

Chapter 9 Method of Weighted Residuals

In Leibniz notation, we write this rule as follows. DERIVATIVE OF A CONSTANT FUNCTION. For n 4 we find the derivative of f x x 4 as follows: lim

f(x + h) f(x) f (x) = lim

Math 115 Section 018 Course Note

SOLUTIONS OF SELECTED EXERCISES IN T. TAO S NONLINEAR DISPERSIVE EQUATIONS

Prof. Dr. Ibraheem Nasser electric_charhe 9/22/2017 ELECTRIC CHARGE

Transcription:

Orinary Differential Equations: Homework 2 M. Gameiro, J.-P. Lessar, J.D. Mireles James, K. Mischaikow January 30, 2017

2 0.1 Eercises Eercise 0.1.1. Let (X, ) be a metric space. function (in the metric space topology). Prove that the metric is a continuous Eercise 0.1.2. Use the contraction mapping theorem to prove that the function f() = cos() has a positive real fie point. Eercise 0.1.3. Suppose that f : R R is a continuously ifferentiable function (i.e. that f is continuous on R). Suppose that there is an 0 R so that f( 0 ) = 0, an that f ( 0 ) < 1. Prove that f is a contraction mapping in some neighborhoo of 0. Eercise 0.1.4. Suppose that f : R R is a continuously ifferentiable mapping (i.e. that the function f is continuous on R). Assume that there is an 0 R an positive constants Y 0 an Z 0 so that f( 0 ) 0 Y 0, an f ( 0 ) Z 0 < 1. Prove that there eists an ɛ > 0 so that for all [ 0 ɛ, 0 + ɛ]. Prove that if f () 1 Z 0, 2 2Y 0 1 Z 0 < ɛ, then there eists a unique fie point for f in [ 0 ɛ, 0 + ɛ]. Eercise 0.1.5. Use the contraction mapping theorem to prove that the function ( ) 2 + y 2 + y f(, y) = 25 + 3 50 3 2 y 2 y 30 + y4 100 has a fie point near = 1, y = 1. Write a MatLab program which computes the fie point to 8 ecimal places. Eercise 0.1.6. In Chapter 1 you worke with the following ifferential equations: t (t) = k(t) k K (t)2, (Logistic Equation)

0.1. EXERCISES 3 ( ) ( = y cy ω sin() ( ) ( ( µ 1 = 3 3 y ) ) 1 µ w z z = = σ(y ) (ρ z) y y βz w (w 2 +y 2 ) 3/2 z y (w 2 +y 2 ) 3/2 ) (The penulum) (van er Pol oscillator) (Lorenz Equation) (The one boy problem ) In each case, etermine the largest open set U R n on which the vector fiel is locally Lipschitz. Repeat this problem for some of the vector fiels from the scavenger hunt. Eercise 0.1.7. Give an eample of a metric space X an a contraction mapping T : X X so that T oes not have any fie points. Eercise 0.1.8. Consier the metric space X = { R : 1 < }, with the metric inherite from R, an let T : X X be the map Prove that T () = + 1. T () T (y) < y for all, y X with y, an the T has no fie points. Eercise 0.1.9. Consier the ifferential equation f(t) = 3f(t), t with the initial conition (0) = 1. Compute the Piccar iteration for this ifferential equation starting with the initial function 0 (t) = 1. (Compute at least 5 iterates of the operator).

4 Eercise 0.1.10. Consier the ifferential equation ( ) ( ) ( (t) 0 1 (t) = (t) 1 0 y(t) with the initial conition (0) = 1, y(0) = 1. Compute the Piccar iteration for this ifferential equation starting with the initial function ( ) ( ) 0 (t) 1 = y 0 (t) 1 (Compute at least 5 iterates of the operator). Eercise 0.1.11. Consier the ifferential equation f(t) = 2f(t) + f(t)2 t with the initial conition (0) = 1/2. Compute the Piccar iteration for this ifferential equation starting with the initial function 0 (t) = 1/2. (Compute at least 3 iterates of the operator). Eercise 0.1.12 (Eistence an uniqueness for linear ifferential equations). Consier J R an open interval. Suppose that g : J R n an a i,j : J R, 1 i, j n, are continuous functions. Set A(t) = a 1,1 (t)... a 1,n (t)..... a n,1 (t)... a n,n (t) Prove that for any t 0 J the initial value problem has a unique solution : J R n. ). ẋ(t) = A(t) + g(t), (t 0 ) = 0, (1) Hint: Define an integrating factor C(t) by writing own a solution of the equation C (t) = C(t)A(t), that is write own an eplicit formula for such a C(t). Show irectly that C(t) is well efine, continuous, an ifferentiable on J.

0.1. EXERCISES 5 C(t 0 ) = I. C(t) is invertible for every t J. Now multiply both sies of Equation (1) by C(t), apply the prouct rule on the left, integrate both sies from t 0 to t with t J, an solve for (t). This provies an eplicit formula for the solution (t). Show that the formula gives a well efine, continuous, ifferentiable function for each t J. Eercise 0.1.13 (Differentiability of the flow with respect to initial conitions). Let ϕ: R R n R n be the flow generate by ẋ = f(), where f : R n R n is C 1 an boune on R n. Proposition?? guarantees that ϕ(t, ) is continuous with respect to initial conitions. The following approach shows that ϕ is actually ifferentiable with respect to. Observe that ifferentiability of ϕ with respect to is equivalent to the statement that for any t R, 0 R n, there eists a unique n n matri Dϕ(t, 0 ) satisfying ϕ(t, 0 + h) ϕ(t, 0 ) Dϕ(t, 0 )h lim = 0. (2) h 0 h Let 0 R n an γ(t) ϕ(t, 0 ) enote the orbit segment through 0. matri Dϕ(t, 0 ) to be the solution of the first variation equation, Define the t Dϕ(t, 0) = Df(γ(t))Dϕ(t, 0 ), Dϕ(0, 0 ) = I. Use the results of problem 0.1.12 to establish that the matri solving this equation eists assuming only that φ(t, 0 ) γ(t) eists an is continuous. Now show that Dϕ(t, 0 ) satisfies (2).