Sec 1.3 Differential Equations as Mathematical Models Sec 3.1 Linear Model.

Slides:



Advertisements
Similar presentations
Math 2320 Differential Equations Worksheet #4. 1a) Model the growth of the population of 50,000 bacteria in a petri dish if the growth rate is k.
Advertisements

7.2 – Exponential Change and Separable Differential Equations © 2010 Pearson Education, Inc. All rights reserved Separable Differential Equations.
ORDINARY DIFFERENTIAL EQUATIONS (ODE)
Ch 1.1: Basic Mathematical Models; Direction Fields Differential equations are equations containing derivatives. Derivatives describe rates of change.
Dr. Faisal fairag MATH-202 Sec # 9 Term: 072. Instructor: Dr. Faisal Abdul-Karim Fairag د. فيصل عبد الكريم فيرق Office or > 59 Phone:
7.6 Differential Equations. Differential Equations Definition A differential equation is an equation involving derivatives of an unknown function and.
3.3 – Applications: Uninhibited and Limited Growth Models
Math 3C Practice Word Problems Prepared by Vince Zaccone For Campus Learning Assistance Services at UCSB.
Some Applications Involving Separable Differential Equations.
Differential Equations and Linear Algebra Math 2250
Chapter 1: First-Order Differential Equations 1. Sec 1.1: Differential Equations and Mathematical Models Definition: Differential Equation An equation.
Introduction to Differential Equations CHAPTER 1.
Section 1.1 Differential Equations & Mathematical Models
Differential Equations as Mathematical Models. Population Dynamics Animal Population The number of field mice in a certain pasture is given by the function.
Applications of Linear Equations
9.3 Separable Equations.
Section 1.2 Some Mathematical Models. TERMINOLOGY A model starts by (i) identifying the variables that are responsible for changing the system and (ii)
Chapter 1: First-Order Differential Equations 1. Sec 1.4: Separable Equations and Applications Definition A 1 st order De of the form is said to.
What is a model Some notations –Independent variables: Time variable: t, n Space variable: x in one dimension (1D), (x,y) in 2D or (x,y,z) in 3D –State.
C Applications of DE Calculus - Santowski 10/17/2015 Calculus - Santowski 1.
Chapter 3 – Differentiation Rules
Ch 1.1: Basic Mathematical Models; Direction Fields Differential equations are equations containing derivatives. The following are examples of physical.
Process & Systems Modeling with Differential Equations
Copyright © Cengage Learning. All rights reserved. 9 Differential Equations.
[Series Circuit] KFUPM, MATH 202, 072 1)Khalid Abdulghani 2)Khaldoon Al-Azzah 3)Yousef Al-Shaheen 4)Abdulrahman Al-Saggaf 5)Ibraheem Alsufyani 6) Abdul-Aziz.
9.4 Exponential Growth & Decay
2.5 Mixing Problems.  In these problems we will start with a substance that is dissolved in a liquid. Liquid will be entering and leaving a holding tank.
AP CALCULUS AB Chapter 6:
MTH 253 Calculus (Other Topics)
Chapter 3 –Systems of Linear Equations
Section 5.8 Exponential Growth and Decay Models; Newton’s Law; Logistic Growth and Decay Models.
Wednesday, Oct 21, 2015MAT 146. Wednesday, Oct 21, 2015MAT 146.
Chapter 2 Differential Equations of First Order
Warm Up Dec. 19 Write and solve the differential equation that models the verbal statement. Evaluate the solution at the specified value. The rate of change.
Ch. 1 First-Order ODEs Ordinary differential equations (ODEs) Deriving them from physical or other problems (modeling) Solving them by standard methods.
Ch 1.1: Basic Mathematical Models; Direction Fields Differential equations are equations containing derivatives. The following are examples of physical.
Def: The mathematical description of a system or a phenomenon is called a mathematical model.
6.4 Exponential Growth and Decay Objective: SWBAT solve problems involving exponential growth and decay in a variety of applications.
MAT 1235 Calculus II Section 9.3 Separable Equations II Version 2
First Order Differential Equations Sec 2.7 Linear Models By Dr. Iman Gohar.
Differential Equations MTH 242 Lecture # 07 Dr. Manshoor Ahmed.
Salt Questions.
Initial Value Problems A differential equation, together with values of the solution and its derivatives at a point x 0, is called an initial value problem.
9/27/2016Calculus - Santowski1 Lesson 56 – Separable Differential Equations Calculus - Santowski.
Practice Word Problems
Seating by Group Thursday, Oct 27, 2016 MAT 146.
Differential Equations
Seating by Group Friday, Oct 28, 2016 MAT 146.
Seating by Group Thursday, Nov 3, 2016 MAT 146.
Warm-up Problems Solve the homogeneous DE Solve the Bernoulli equation.
Newton's Law of Cooling and other applications of differential equations Section 5-M.
Differential Equations
6.2 Exponential Growth and Decay
Find the horizontal and vertical asymptotes of each curve
Lesson 58 - Applications of DE
Ch 1.1: Basic Mathematical Models; Direction Fields
Ch 1.1: Basic Mathematical Models; Direction Fields
MATH-202 Sec # 9 Term: 072 Dr. Faisal fairag.
Ch 1.1: Basic Mathematical Models; Direction Fields
Section 10.1 Separable Equations II
Copyright © Cengage Learning. All rights reserved.
9.1/9.3 – Differential Equations
Exponential Growth and Decay
Calculus II (MAT 146) Dr. Day Wednesday, March 28, 2018
Chapter 5 APPLICATIONS OF ODE.
Chemical Engineering Mathematics 1. Presentation Contents Chemical Engineering Mathematics2  Partial Differentiation Equation in long non-uniform rod.
MATH-202 Sec # 9 Term: 072 Dr. Faisal fairag.
Differential Equations As Mathematical Models
Presentation transcript:

Sec 1.3 Differential Equations as Mathematical Models Sec 3.1 Linear Model

Where it appear

Mechanical Eng. Dr. Faisal fairag Where it appear

Chemical Eng. Dr. Faisal fairag Where it appear

Electrical Eng. Dr. Faisal fairag Where it appear

Civil Eng. Dr. Faisal fairag Where it appear

Heat Transfer Dr. Faisal fairag Where it appear

Civil Eng. Dr. Faisal fairag Where it appear

Dr. Faisal fairag Where it appear

Sec 1.3 Differential Equations as Mathematical Models Sec 3.1 Linear Model Behavior of some real-life system or phenomenon Mathematical Model STEP 1: Identification of the variables STEP 2: We make some reasonable assumptions (physical laws) Construction of a Mathematical model:

Assumptions Mathematical Formulation Obtain Solutions Check model Predictions with Known facts Express DE Solve DE Display graphically If necessary alter assumptions

1.Population Dynamics* 2.Radioactive Decay* 3.Spread of Disease* 4.Chemical Reactions 5.Newton’s Law of Cooling* 6.Mixtures* 7.Draining a Tank 8.Series Circuits 9.Falling Bodies 10.Falling Bodies and Air Resistance 11.Suspended Cables Applications

When a pizza is removed from an oven. Its temperature is measured at 300 F. Three minutes later its temperature is 200 F. How long will it take for the pizza to cool off to a room temperature of 70 F? EXAMPLE: Newton’s Law of Cooling-Warming: the rate at which the tempof a body changes is proportional to the difference between the temp of the body and the temp of the surrounding.

When a pizza is removed from an oven. Its temperature is measured at 300 F. Three minutes later its temperature is 200 F. How long will it take for the pizza to cool off to a room temperature of 70 F? EXAMPLE: Newton’s Law of Cooling-Warming: the rate at which the tempof a body changes is proportional to the difference between the temp of the body and the temp of the surrounding.

A thermometer is taken from a inside room to the outside, where the air temperature is 5F. After I minute the thermometer reads 55F, and after 5 minutes it reads 30F. What is the initial temperature of the inside room? #14/p99: Newton’s Law of Cooling-Warming: the rate at which the temp of a body changes is proportional to the difference between the temp of the body and the temp of the surrounding.

The population of a community is known to increase at a rate proportional to the number of people present at time t. If an initial population P_0 has doubled in 5 years, how long will it take to triple? Quadruple? #1/p99: Population: The population of a community is known to increase at a rate proportional to the number of people present at time t

Population: The population of a community is known to increase at a rate proportional to the number of people present at time t 23,500, ,250, Interested: See #39/101 Read sec 3.2

Output rate 3 gal/min input rate 3 gal/min A large tank held 300 gallons of brine solution. Salt was entering and leaving the tank; a brine solution was being pumped into the tank at the rate of 3 gal/min. it mixed with the solution there, and then the mixture was pumped out at the rate of 3 gal/min. The concentration of the salt in the inflow was 2 lb/gal. If 50 pounds of salt were dissolved initially in the 300 gallons, how much salt is in the tank after 10 min? 300 gallons

Output rate 3 gal/min input rate 3 gal/min A large tank held 300 gallons of brine solution. Salt was entering and leaving the tank; a brine solution was being pumped into the tank at the rate of 3 gal/min. it mixed with the solution there, and then the mixture was pumped out at the rate of 3 gal/min. The concentration of the salt in the inflow was 2 lb/gal. If 50 pounds of salt were dissolved initially in the 300 gallons, how much salt is in the tank after 10 min? 300 gallons ?

Output rate 3 gal/min input rate 3 gal/min A large tank held 300 gallons of brine solution. Salt was entering and leaving the tank; a brine solution was being pumped into the tank at the rate of 3 gal/min. it mixed with the solution there, and then the mixture was pumped out at the rate of 3 gal/min. The concentration of the salt in the inflow was 2 lb/gal. If 50 pounds of salt were dissolved initially in the 300 gallons, how much salt is in the tank after 10 min? how much salt in the tank after a long time? 300 gallons Sol:

Output rate 4 L/min input rate 4 L/min A tank held 200 liters of fluid in which 30 grams of salt is dissolved. Brine containing 1 gram of slat per liter is then pumped into the tank at a rate of 4 L/min; the well-mixed solution is pumped out at the same rate. Find the number A(t) of grams of salt in the tank at time t. 200 liters #19 p99

Chapter-Summary Chapter # 1 and Chapter # 2 Next week (mond –wed) Expected Date for presentation Date of submission ChapterMembersGROUP Mon 2/25/ :58 AM 1 1)AL-GHAMDI, MOHAMMAD TURKI 2)AL-ZAHRANI, AHMAD ALI AHMAD 3)L-HADI, MOHAMMAD SALEH HADAJ 4)AL-MUTAIRI, ABDUL-LATIF THUWAINI GROUP 1 Mon 2/25/ :24 PM 2 1)Khalid Abdulghani 2)Khaldoon Al-Azzah 3)Yousef Al-Shaheen 4)Abdulrahman Al-Saggaf 5)Mohammad Bawazeer 6)Ibraheem Alsufyani GROUP 2