Sheng-Fang Huang. 1.1 Basic Concepts Modeling A model is very often an equation containing derivatives of an unknown function. Such a model is called.

Slides:



Advertisements
Similar presentations
7 INVERSE FUNCTIONS. 7.5 Exponential Growth and Decay In this section, we will: Use differentiation to solve real-life problems involving exponentially.
Advertisements

Ch 5.2: Series Solutions Near an Ordinary Point, Part I
7 INVERSE FUNCTIONS.
3 DERIVATIVES. In this section, we will learn: How functions are defined implicitly. 3.6 Implicit Differentiation DERIVATIVES.
1 Chapter 7 Transcendental Functions Inverse Functions and Their Derivatives.
7 INVERSE FUNCTIONS.
Ch 2.1: Linear Equations; Method of Integrating Factors
7 INVERSE FUNCTIONS. The common theme that links the functions of this chapter is:  They occur as pairs of inverse functions. INVERSE FUNCTIONS.
Copyright © Cengage Learning. All rights reserved.
Math 3120 Differential Equations with Boundary Value Problems
Ch 1.2: Solutions of Some Differential Equations
Chap 1 First-Order Differential Equations
Ordinary Differential Equations S.-Y. Leu Sept. 21,28, 2005.
DIFFERENTIAL EQUATIONS 9. We have looked at first-order differential equations from a geometric point of view (direction fields) and from a numerical.
Section 8.1 Mathematical Modeling with Differential Equations.
9. 1 Modeling with Differential Equations Spring 2010 Math 2644 Ayona Chatterjee.
CHAPTER Continuity Modeling with Differential Equations Models of Population Growth: One model for the growth of population is based on the assumption.
Introduction to Differential Equations CHAPTER 1.
DEPARTMENT OF MATHEMATI CS [ YEAR OF ESTABLISHMENT – 1997 ] DEPARTMENT OF MATHEMATICS, CVRCE.
3 DERIVATIVES.
3 DIFFERENTIATION RULES.
Copyright © 2005 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 7 Transcendental Functions.
Sheng-Fang Huang. Introduction If r (x) = 0 (that is, r (x) = 0 for all x considered; read “r (x) is identically zero”), then (1) reduces to (2) y"
Engineering Mathematics Class #11 Part 2 Laplace Transforms (Part2)
Logarithmic, Exponential, and Other Transcendental Functions Copyright © Cengage Learning. All rights reserved.
Differential Equations 6 Copyright © Cengage Learning. All rights reserved. 6.1 Day
SECOND-ORDER DIFFERENTIAL EQUATIONS
Modeling with differential equations One of the most important application of calculus is differential equations, which often arise in describing some.
CHAPTER 5 SECTION 5.6 DIFFERENTIAL EQUATIONS: GROWTH AND DECAY
Copyright © Cengage Learning. All rights reserved. 6 Inverse Functions.
Ordinary Differential Equations
Section 7.4: Exponential Growth and Decay Practice HW from Stewart Textbook (not to hand in) p. 532 # 1-17 odd.
3 DERIVATIVES. The functions that we have met so far can be described by expressing one variable explicitly in terms of another variable.  For example,,
Sheng-Fang Huang. 4.0 Basics of Matrices and Vectors Most of our linear systems will consist of two ODEs in two unknown functions y 1 (t), y 2 (t),
DIFFERENTIAL EQUATIONS 9. Perhaps the most important of all the applications of calculus is to differential equations. DIFFERENTIAL EQUATIONS.
3 DERIVATIVES. The functions that we have met so far can be described by expressing one variable explicitly in terms of another variable.  For example,,
Differential Equations. Definition A differential equation is an equation involving derivatives of an unknown function and possibly the function itself.
6 Differential Equations
Differential Equations 7. Modeling with Differential Equations 7.1.
Ch 1.2: Solutions of Some Differential Equations Recall the free fall and owl/mice differential equations: These equations have the general form y' = ay.
Differential Equations Copyright © Cengage Learning. All rights reserved.
Warm-up It’s as easy as 1-2-3! 1)Start by separating variables. 2)Integrate both sides. 3) Solve for dy/dx. Solve = k(y – 80) This represents Newton’s.
Differential Equations Objective: To solve a separable differential equation.
Differential Equations
Sheng-Fang Huang. Introduction Given a first-order ODE (1) y’ = f(x, y) Geometrically, the derivative y’(x) denotes the slope of y(x). Hence, for a.
歐亞書局 P Chapter 1 First-Order ODEs. 歐亞書局 P Contents 1.1 Basic Concepts. Modeling 1.2 Geometric Meaning of y’ = ƒ (x, y). Direction Fields 1.3 Separable.
Barnett/Ziegler/Byleen Business Calculus 11e1 Chapter 13 Review Important Terms, Symbols, Concepts 13.1 Antiderivatives and Indefinite Integrals A function.
Differential Equations Chapter 1. A differential equation in x and y is an equation that involves x, y, and derivatives of y. A mathematical model often.
8 TECHNIQUES OF INTEGRATION. Due to the Fundamental Theorem of Calculus (FTC), we can integrate a function if we know an antiderivative, that is, an indefinite.
Ch 2.1: Linear Equations; Method of Integrating Factors A linear first order ODE has the general form where f is linear in y. Examples include equations.
Applications of Differentiation Section 4.9 Antiderivatives
Mathematical Modeling with Differential Equations Chapter 9: By, Will Alisberg Edited By Emily Moon.
Chapter 2 Solutions of 1 st Order Differential Equations.
Ch. 1 First-Order ODEs Ordinary differential equations (ODEs) Deriving them from physical or other problems (modeling) Solving them by standard methods.
Chapter 5 Applications of Exponential and Natural Logarithm Functions.
Ch. 7 – Differential Equations and Mathematical Modeling 7.4 Solving Differential Equations.
Differential Equations
1 Differential Equations 6 Copyright © Cengage Learning. All rights reserved. 6.1 DE & Slope Fields BC Day 1.
6.1 Slope Fields and Euler’s Method. Verifying Solutions Determine whether the function is a solution of the Differential equation y” - y = 0 a. y = sin.
Advanced Engineering Mathematics, 10/e by Edwin Kreyszig Copyright 2011 by John Wiley & Sons. All rights reserved. PART A Ordinary Differential Equations.
Logarithmic, Exponential, and Other Transcendental Functions 5 Copyright © Cengage Learning. All rights reserved.
1 Week 3 First-order ordinary differential equations (ODE) 1.Basic definitions 2.Separable ODEs 3.ODEs reducible to separable form 4.Linear first-order.
Warm Up 1.Find the particular solution to the initial value problem 2.Find the general solution to the differential equation.
1.1 Basic Concepts. Modeling
1.5 Linear ODEs. Bernoulli Equation. Population Dynamics
Chapter 5 Integration Section R Review.
Presentation transcript:

Sheng-Fang Huang

1.1 Basic Concepts Modeling A model is very often an equation containing derivatives of an unknown function. Such a model is called a differential equation. An ordinary differential equation (ODE) is an equation that contains one or several derivatives of an unknown function. We usually call y(x) (or sometimes y(t) if the independent variable is time t). See figure 1. continued

Applications of differential equations

First-Order ODEs Such equations contain only the first derivative y' and may contain y and any given functions of x. Hence we can write them as (4) F(x, y, y’) = 0 or often in the form y’ = ƒ(x, y). This is called the explicit form, in contrast with the implicit form (4). Example: The implicit ODE x -3 y’– 4y 2 = 0 (where x ≠ 0) can be written explicitly as y’ = 4x 3 y 2.

Concept of Solution A function y = h(x) is called a solution of a given ODE (4) on some open interval a < x < b if h(x) is defined and differentiable throughout a < x < b. The curve (the graph) of h is called a solution curve.

Note Here, open interval a < x < b means that the endpoints a and b are not regarded as points belonging to the interval. a < x < b includes infinite intervals -∞ < x < b, a < x < ∞, -∞ < x < ∞ (the real line) as special cases.

Example 1: Verification of Solution y = h(x) = c/x (c an arbitrary constant, x ≠ 0) is a solution of xy’ = –y. How to verify? Point:

Example 2: Solution Curves How to solve ? Point: Directly by integration on both sides:

Fig. 2. Solutions y = sin x + c of the ODE y’ = cos x

Example 3: Exponential Growth From calculus we know that y = ce 3t (c any constant) has the derivative (chain rule!) This shows that y is a solution of y’ = 3y. Hence this ODE can model exponential growth Like animal populations, colonies of bacteria, or humans for small populations in a large country Malthus’s (Sec. 1.5).

Example 3: Exponential Decay Similarly, y’ = – 0.2y has the solution y = ce –0.2t. This ODE models exponential decay, for instance, of a radioactive substance (see Example 5). Figure 3 shows solutions for some positive c.

Fig. 3. Solutions of y’ = –0.2y in Example 3

Initial Value Problem In most cases, a particular solution of a given problem is obtained from a general solution by an initial condition y(x 0 ) = y 0, with given values x 0 and y 0, that is used to determine the arbitrary constant c. The solution curve should pass through the point (x 0, y 0 ) in the xy-plane. An ODE together with an initial condition is called an initial value problem. Thus, if the ODE is explicit, y’ = ƒ(x, y), the initial value problem is of the form y’ = ƒ(x, y), y(x 0 ) = y 0.

Example 4: Initial Value Problem Solve the initial value problem Solution:

Modeling Example 5: Radioactivity. Exponential Decay Given an amount of a radioactive substance, say, 0.5 g (gram), find the amount present at any later time. Physical Information. Experiments show that at each instant a radioactive substance decomposes at a rate proportional to the amount present.

Step 1. Setting up a mathematical model: Denote by y(t) the amount of substance still present at any time t. By the physical law, the rate of change y’(t), dy/dt, is proportional to y(t). Denote the constant of proportionality by k. Then

Step 1. The value of k is known from experiments for various radioactive substances k is usually negative because y(t) decreases with time. Given initial amount as 0.5 g. Denote the corresponding time by t = 0. Then the initial condition is continued

Step 2. Mathematical solution. The ODE (6) models exponential decay and has the general solution (with arbitrary constant c) y(t) = ce kt. We now use the initial condition to determine c. Since y(0) = c from (8), this gives y(0) = c = 0.5. Hence the particular solution governing this process is y(t) = 0.5e kt (Fig. 4) continued

Step 2. Always check your result—it may involve human or computer errors! Verify by differentiation and the initial condition: continued

Step 3. Interpretation of result. Formula (9) gives the amount of radioactive substance at time t. It starts from the correct given initial amount and decreases with time because k (the constant of proportionality, depending on the kind of substance) is negative. The limit of y as t → ∞ is zero. (Exponential decay, y = 0.5 e kt, with k = –1.5 as an example)