Modelli Clamfim Equazioni differenziali 7 ottobre 2013

Similar documents
Modelli Clamfim Equazioni differenziali 22 settembre 2016

Modelli Clamfim Equazione del Calore Lezione ottobre 2014

Modelli Clamfim Integrali Multipli 7 ottobre 2015

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

APPENDIX A Some Linear Algebra

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0

Group Analysis of Ordinary Differential Equations of the Order n>2

Bernoulli Numbers and Polynomials

Maximum Likelihood Estimation of Binary Dependent Variables Models: Probit and Logit. 1. General Formulation of Binary Dependent Variables Models

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Module 2. Random Processes. Version 2 ECE IIT, Kharagpur

NUMERICAL DIFFERENTIATION

Maximum Likelihood Estimation of Binary Dependent Variables Models: Probit and Logit. 1. General Formulation of Binary Dependent Variables Models

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

6.3.4 Modified Euler s method of integration

(2mn, m 2 n 2, m 2 + n 2 )

Calculus of Variations Basics

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS

ON THE BURGERS EQUATION WITH A STOCHASTIC STEPPING STONE NOISY TERM

9 Characteristic classes

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens

A SURVEY OF PROPERTIES OF FINITE HORIZON DIFFERENTIAL GAMES UNDER ISAACS CONDITION. Contents

Numerical Solution of Ordinary Differential Equations

Convexity preserving interpolation by splines of arbitrary degree

A new Approach for Solving Linear Ordinary Differential Equations

3 Basic boundary value problems for analytic function in the upper half plane

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Review of Taylor Series. Read Section 1.2

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)

MATH 5707 HOMEWORK 4 SOLUTIONS 2. 2 i 2p i E(X i ) + E(Xi 2 ) ä i=1. i=1

ALGORITHM FOR THE CALCULATION OF THE TWO VARIABLES CUBIC SPLINE FUNCTION

Lecture 5 Decoding Binary BCH Codes

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Appendix B. Criterion of Riemann-Stieltjes Integrability

Queens College, CUNY, Department of Computer Science Numerical Methods CSCI 361 / 761 Spring 2018 Instructor: Dr. Sateesh Mane.

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0

The Feynman path integral

Digital Signal Processing

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction

10.40 Appendix Connection to Thermodynamics and Derivation of Boltzmann Distribution

An outside barrier option

Lecture 21: Numerical methods for pricing American type derivatives

On the set of natural numbers

Continuous Time Markov Chain

First day August 1, Problems and Solutions

Marginal Effects in Probit Models: Interpretation and Testing. 1. Interpreting Probit Coefficients

Economics 130. Lecture 4 Simple Linear Regression Continued

Appendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis

PHYS 705: Classical Mechanics. Calculus of Variations II

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2

Math1110 (Spring 2009) Prelim 3 - Solutions

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

CALCULUS CLASSROOM CAPSULES

Chapter 7 Generalized and Weighted Least Squares Estimation. In this method, the deviation between the observed and expected values of

Applied Stochastic Processes

Mechanics Physics 151

REAL ANALYSIS I HOMEWORK 1

A New Refinement of Jacobi Method for Solution of Linear System Equations AX=b

Exercise Solutions to Real Analysis

Nice plotting of proteins II

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

Canonical transformations

Y. Guo. A. Liu, T. Liu, Q. Ma UDC

A Pursuit Problem Described by Infinite System of Differential Equations with Coordinate-Wise Integral Constraints on Control Functions

Supplement: Proofs and Technical Details for The Solution Path of the Generalized Lasso

In this section is given an overview of the common elasticity models.

ON THE JACOBIAN CONJECTURE

EEE 241: Linear Systems

2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before

Fixed point method and its improvement for the system of Volterra-Fredholm integral equations of the second kind

Integrals and Invariants of Euler-Lagrange Equations

THE ARIMOTO-BLAHUT ALGORITHM FOR COMPUTATION OF CHANNEL CAPACITY. William A. Pearlman. References: S. Arimoto - IEEE Trans. Inform. Thy., Jan.

2.3 Nilpotent endomorphisms

PROBLEM SET 7 GENERAL EQUILIBRIUM

The Geometry of Logit and Probit

10-801: Advanced Optimization and Randomized Methods Lecture 2: Convex functions (Jan 15, 2014)

ACTM State Calculus Competition Saturday April 30, 2011

Appendix II Summary of Important Equations

Perron Vectors of an Irreducible Nonnegative Interval Matrix

Georgia Tech PHYS 6124 Mathematical Methods of Physics I

The generating function of a canonical transformation

Lecture 10 Support Vector Machines II

SELECTED SOLUTIONS, SECTION (Weak duality) Prove that the primal and dual values p and d defined by equations (4.3.2) and (4.3.3) satisfy p d.

Lecture 6/7 (February 10/12, 2014) DIRAC EQUATION. The non-relativistic Schrödinger equation was obtained by noting that the Hamiltonian 2

Research Article A Generalized Sum-Difference Inequality and Applications to Partial Difference Equations

Ballot Paths Avoiding Depth Zero Patterns

Exercises of Fundamentals of Chemical Processes

Appendix B. The Finite Difference Scheme

Homogenization of reaction-diffusion processes in a two-component porous medium with a non-linear flux-condition on the interface

NAME and Section No.

Complex Variables. Chapter 18 Integration in the Complex Plane. March 12, 2013 Lecturer: Shih-Yuan Chen

Implicit Integration Henyey Method

One Dimension Again. Chapter Fourteen

Affine and Riemannian Connections

Transcription:

CLAMFIM Bologna Modell 1 @ Clamfm Equazon dfferenzal 7 ottobre 2013 professor Danele Rtell danele.rtell@unbo.t 1/18?

Ordnary Dfferental Equatons A dfferental equaton s an equaton that defnes a relatonshp between a functon and one or more dervatves of that functon. 2/18?

Ordnary Dfferental Equatons A dfferental equaton s an equaton that defnes a relatonshp between a functon and one or more dervatves of that functon. For nstance let y = y(x) be some functon of the ndependent varable x. The equaton dy dx (x) := y (x) = 2xy(x) (1) states that the frst dervatve of the functon y equals the product of 2x and the functon y tself. An addtonal, mplct statement n ths dfferental equaton s that the stated relatonshp holds only for all x for whch both the functon and ts frst dervatve are defned 2/18?

Gven f : Ω R 2 R y (x) = f(x, y(x)), y(x 0 ) = y 0, x I x 0 I, y 0 J where I J Ω s called ntal value problem 3/18?

Exstence: eano s Theorem If f(x, y) s contnuous on R = [x 0 a, x 0 + a] [y 0 b, y 0 + b], then the ntal value problem y (x) = f(x, y(x)) y(x 0 ) = y 0 has a soluton n a neghborhood of x 0 4/18?

Soluton needs not to be unque. Consder the ntal value problem y (x) = 2 y(x) y(0) = 0 (p) 5/18?

Soluton needs not to be unque. Consder the ntal value problem y (x) = 2 y(x) y(0) = 0 (p) y(x) = 0 solves (p) 5/18?

Soluton needs not to be unque. Consder the ntal value problem y (x) = 2 y(x) y(0) = 0 (p) y(x) = 0 solves (p) y(x) = x x solves (p) 5/18?

Exstence and unqueness: card Lndelhöf Theorem Let the functon f(x, y) contnuous on a rectangle R = [x 0 a, x 0 + a] [y 0 b, y 0 + b]. Suppose, furthermore, that for any y 1, y 2 [y 0 b, y 0 + b] there exsts L > 0 such that f(x, y 1 ) f(x, y 2 ) L y 1 y 2 for each x [a, b]. Then the ntal value problem y (x) = f(x, y(x)) y(x 0 ) = y 0 (L) (vp) has a unque soluton defned n [x 0 δ, x 0 +δ] where δ = mn{a, b/m} beng M := max f(x, y) (x,y) R 6/18?

Condton (L) s sad Lpschtz contnuty condton. A suffcent condton to ensure that a functon f(x, y) s Lpschtz contnuos s that t admts partal dervatve wth respect to y whch s bounded and contnuos. 7/18?

Condton (L) s sad Lpschtz contnuty condton. A suffcent condton to ensure that a functon f(x, y) s Lpschtz contnuos s that t admts partal dervatve wth respect to y whch s bounded and contnuos. In fact assume f y (x, y) = f (x, y) y (Lagrange) theorem wth y between y 1 and y 2 L then from the mean value f(x, y 1 ) f(x, y 2 ) = f y (x, y) y 1 y 2 7/18?

Separable equatons A dfferental equaton s separable f t can be wrtten n the form y (x) = a(x) b (y(x)), (S) y(x 0 ) = y 0, where a(x) e b(y) are contnuous functons defned on ntervals I a and I b such that x 0 I a and y 0 I b 8/18?

Separable equatons A dfferental equaton s separable f t can be wrtten n the form y (x) = a(x) b (y(x)), (S) y(x 0 ) = y 0, where a(x) e b(y) are contnuous functons defned on ntervals I a and I b such that x 0 I a and y 0 I b In order to obtan exstence and unqueness for soluton to (S) we assume that b(y 0 ) 0 8/18?

Theorem Functon y(x) defned, mplctely by: y y 0 s the unque soluton to (S) dz b(z) = x x 0 a(s) ds (R) 9/18?

Theorem Functon y(x) defned, mplctely by: y y 0 s the unque soluton to (S) dz b(z) = x x 0 a(s) ds (R) roof. Recallng that b(y 0 ) = b(y(x 0 )) 0 there exsts a neghborhood I a of x 0 such that x I a (S) we can wrte = b(y(x)) 0. Then f y(x) solves y (x) b(y(x)) = a(x). (Sb) 9/18?

Integratng (Sb) from x 0 and x we obtan: x x 0 y (s) b(y(s)) ds = x x 0 a(s) ds. (Sc) 10/18?

Integratng (Sb) from x 0 and x we obtan: x x 0 y (s) b(y(s)) ds = x x 0 a(s) ds. (Sc) Now change varable puttng u = y(s) so from du = y (s) ds we fnd out: gvng thess (R) y y 0 y (s) b(u) du y (s) = x x 0 a(s) ds, 10/18?

roof s not complete: we have to show that soluton defned by (R) s the unque soluton to (S) Suppose y 1 (x) and y 2 (x) solutons of (S). Defne B(y) := y y 0 dz b(z) 11/18?

roof s not complete: we have to show that soluton defned by (R) s the unque soluton to (S) Suppose y 1 (x) and y 2 (x) solutons of (S). Defne B(y) := y y 0 dz b(z) thus d dx [B (y 1(x)) B (y 2 (x))] = = a(x)b (y 1(x)) b (y 1 (x)) a(x)b (y 2(x)) b (y 2 (x)) y 1(x) b (y 1 (x)) = 0. y 2(x) b (y 2 (x)) 11/18?

roof s not complete: we have to show that soluton defned by (R) s the unque soluton to (S) Suppose y 1 (x) and y 2 (x) solutons of (S). Defne thus B(y) := y y 0 d dx [B (y 1(x)) B (y 2 (x))] = = a(x)b (y 1(x)) b (y 1 (x)) dz b(z) a(x)b (y 2(x)) b (y 2 (x)) y 1(x) b (y 1 (x)) = 0. y 2(x) b (y 2 (x)) Notce that we used the fact that both y 1 (x) and y 2 (x) solve (S) 11/18?

But recallng that y 1 (x 0 ) = y 2 (x 0 ) = y 0, there exsts a neghborood N(x 0 ) of x 0 such that for each x N(x 0 ): B (y 1 (x)) B (y 2 (x)) = 0. 12/18?

But recallng that y 1 (x 0 ) = y 2 (x 0 ) = y 0, there exsts a neghborood N(x 0 ) of x 0 such that for each x N(x 0 ): B (y 1 (x)) B (y 2 (x)) = 0. On the other sde recallng the defnton of B(y) we see that: B (y 1 (x)) B (y 2 (x)) = y1 (x) y 2 (x) 1 b(t) dt. 12/18?

But recallng that y 1 (x 0 ) = y 2 (x 0 ) = y 0, there exsts a neghborood N(x 0 ) of x 0 such that for each x N(x 0 ): B (y 1 (x)) B (y 2 (x)) = 0. On the other sde recallng the defnton of B(y) we see that: B (y 1 (x)) B (y 2 (x)) = y1 (x) y 2 (x) 1 b(t) dt. Now use the mean value theorem for ntegrals to nfer that there exsts y x between y 1 (x) and y 2 (x) such that B (y 1 (x)) B (y 2 (x)) = 1 b(y x ) (y 1(x) y 2 (x)). 12/18?

But recallng that y 1 (x 0 ) = y 2 (x 0 ) = y 0, there exsts a neghborood N(x 0 ) of x 0 such that for each x N(x 0 ): B (y 1 (x)) B (y 2 (x)) = 0. On the other sde recallng the defnton of B(y) we see that: B (y 1 (x)) B (y 2 (x)) = y1 (x) 12/18? y 2 (x) 1 b(t) dt. Now use the mean value theorem for ntegrals to nfer that there exsts y x between y 1 (x) and y 2 (x) such that B (y 1 (x)) B (y 2 (x)) = 1 b(y x ) (y 1(x) y 2 (x)). Thess then follows from the assumpton b(y) 0, because t mples

y 1 (x) = y 2 (x) 13/18?

Separable equaton: Example y (x) = a(x) y(x) y(x 0 ) = y 0 (E1) beng a a contnuous functon. 14/18?

Separable equaton: Example y (x) = a(x) y(x) y(x 0 ) = y 0 (E1) beng a a contnuous functon. here b(y) = y so usng (S) y y 0 1 z dz = x x 0 a(s) ds = ln y y 0 = x x 0 a(s) ds 14/18?

Separable equaton: Example y (x) = a(x) y(x) y(x 0 ) = y 0 (E1) beng a a contnuous functon. here b(y) = y so usng (S) y y 0 1 z dz = x x 0 a(s) ds = ln y y 0 = ( x y = y 0 exp x 0 ) a(s) ds x x 0 a(s) ds 14/18?

For nstance f a(x) = x the ntal value problem 2 y (x) = x 2 y(x) y(0) = 1 (E1es) ha soluton y(x) = e x2 4 15/18?

Example y (x) = a(x) y 2 (x) y(x 0 ) = y 0 beng a a contnuous functon. (E2) 16/18?

Example y (x) = a(x) y 2 (x) y(x 0 ) = y 0 beng a a contnuous functon. here b(y) = y 2 so usng (S) y y 0 1 z 2 dz = x x 0 a(s) ds (E2) 16/18?

Example y (x) = a(x) y 2 (x) y(x 0 ) = y 0 beng a a contnuous functon. here b(y) = y 2 so usng (S) y y 0 1 z 2 dz = x x 0 a(s) ds (E2) 1 y + 1 y 0 = x x 0 a(s) ds 16/18?

so that y = 1 y 0 1 x x 0 a(s) ds 17/18?

so that y = 1 y 0 1 x x 0 a(s) ds For nstance f a(x) = 2x the ntal value problem y (x) = 2x y 2 (x) y(0) = 1 (E2ap) has soluton y = 1 1 + x 2 17/18?

Exercse Solve the separable dfferental equaton y (x) = 1 + y2 (x) 1 + x 2 y(0) = 2 (e) 18/18?

Exercse Solve the separable dfferental equaton y (x) = 1 + y2 (x) 1 + x 2 y(0) = 2 (e) Consder the more general problem y (x) = 1 + y2 (x) 1 + x 2 y(0) = a 18/18?

Exercse Solve the separable dfferental equaton y (x) = 1 + y2 (x) 1 + x 2 y(0) = 2 (e) Consder the more general problem y (x) = 1 + y2 (x) 1 + x 2 y(0) = a y a dz 1 + z 2 = x 0 ds = arctan y arctan a = arctan x 1 + s2 18/18?

Thus y = tan (arctan a + arctan x) 19/18?

Thus But snce y = tan (arctan a + arctan x) tan(α + β) = tan α + tan β 1 tan α tan β 19/18?

Thus But snce we nfer y = tan (arctan a + arctan x) tan(α + β) = tan α + tan β 1 tan α tan β y = a + x 1 ax 19/18?