• No results found

bcb12e ppt 6 R

N/A
N/A
Protected

Academic year: 2020

Share "bcb12e ppt 6 R"

Copied!
14
0
0

Loading.... (view fulltext now)

Full text

(1)

Chapter 6

Integration

(2)

Chapter 6 Review

Important Terms, Symbols, Concepts

6.1 Antiderivatives and Indefinite Integrals

• A function F is an antiderivative of a function f if F (x) = f (x)

• If F and G are both antiderivatives of f, they differ by a constant: F(x) = G(x) + k for some constant k.

• We use the symbol , called an indefinite integral, to represent the family of all antiderivatives of f, and we write

( )

f x dx

(3)

Chapter 6 Review

6.1 Antiderivatives and Indefinite Integrals

(continued)

• The symbol is called an integral sign, f (x) is the integrand, and C is the constant of integration.

• Indefinite integrals of basic functions are given in this section.

• Properties of indefinite integrals are given in the

section; in particular, a constant factor can be moved across an integral sign. However, a variable factor cannot be moved across an integral sign.

(4)

Chapter 6 Review

6.2 Integration by Substitution

• The method of substitution (also called the change-of-variable method) is a technique for finding indefinite integrals. It is based on the following formula, which is obtained by reversing the chain rule:

• This formula implies the general indefinite integral formulas in this section.

• Guidelines for using the substitution method are given by the procedure in this section.

f

[

g

(

x

)]

g

(

x

) =

f

[

g

(

x

)] +

C

(5)

Chapter 6 Review

 6.2 Integration by Substitution (continued)

• In using the method of substitution it is helpful to employ differentials as a bookkeeping device:

o The differential dx of the independent variable x is an arbitrary real number.

o The differential dy of the dependent variable y is defined by dy = f ’(x) dx.

 6.3 Differential Equations; Growth and Decay

(6)

Chapter 6 Review

6.3 Differential Equations; Growth and Decay

(continued)

• The equation is a first-order differential equation because it involves the first

derivative of the unknown function y, but no second or higher-order derivative.

• A slope field can be constructed for the differential equation above by drawing a tangent line with slope 3x(1 + xy2) at each point (x, y) of a grid. The slope field gives a graphical representation of the functions that are solutions of the differential equation.

2 3 (1 )

dy

x xy

(7)

Chapter 6 Review

6.3 Differential Equations; Growth and Decay

(continued)

• The differential equation (in words: the rate at which the unknown function Q increases is

proportional to Q) is called the exponential growth law. The constant r is called the relative growth rate.

The solutions to the exponential growth law are the functions Q(t) = Q0ert where Q

0 denotes Q(0), the

amount present at time t = 0. These functions can be used to solve problems in population growth,

continuous compound interest, radioactive decay, blood

dQ

(8)

Chapter 6 Review

6.3 Differential Equations; Growth and Decay

(continued)

• A table in this section gives the solutions to other first-order differential equations used to model the limited or logistic growth of epidemics, sales and corporations.

6.4 The Definite Integral

• If the function f is positive on [a, b], then the area between the graph of f and the x axis from x = a to x = b can be

(9)

Chapter 6 Review

6.4 The Definite Integral (continued)

• The process of summing the areas of n rectangles can be accomplished by left sums, right sums, or, more

generally, by Riemann sums: • Left sum

• Right sum

• Riemann sum

In a Riemann sum, each ck is required to belong to the subinterval

[xk-1, xk]. Left sums and right sums are special cases of Riemann sums.

(10)

Chapter 6 Review

 6.4 The Definite Integral (continued)

• The error in an approximation is the absolute value of the difference between the approximation and the actual value. An error bound is a positive number

such that the error is guaranteed to be less than or equal to that number.

• Theorem 1 in this section gives error bounds for the approximation of the area between the graph of a

(11)

Chapter 6 Review

6.4 The Definite Integral (continued)

• If f (x) > 0 and is either increasing or decreasing on [a, b], then its left and right sums approach the same real number I as n  .

• If f is a continuous function on [a, b], then the

Riemann sums for f on [a, b] approach a real number limit I as n  .

• Let f be a continuous function on [a, b]. The limit I of Riemann sums for f on [a, b] is called the definite

(12)

Chapter 6 Review

6.4 The Definite Integral (continued)

• The integrand is f (x), the lower limit of integration is a, and the upper limit of integration is b.

• Geometrically, the definite integral

represents the cumulative sum of the signed areas

between the graph of f and the x axis from x = a to x = b.

• Properties of the definite integral are given in this section.

( )

f x dx

(13)

Chapter 6 Review

6.5 The Fundamental Theorem of Calculus

• If f is a continuous function on [a, b] and F is any antiderivative of f, then = F(b) – F(a)

• The fundamental theorem gives an easy and exact method for evaluating definite integrals, provided we can find an

antiderivative F(x) of f (x). In practice, we first find an antiderivative F(x) (when possible) using techniques for

computing indefinite integrals, then we calculate F(b) – F(a). If it is impossible to find an antiderivative we must resort to

( )

f x dx

(14)

Chapter 6 Review

6.5 The Fundamental Theorem of Calculus

Graphing calculators have built-in numerical

approximation routines, more powerful than left or right sum methods, for calculating the definite integral.

• If f is a continuous function on [a, b], then the average value of f over [a, b] is defined to be

1

( )

b

a

References

Related documents

In chapter 3 the largest wave from the previous chapter will be used as an initial condition in the linear dispersive differential equations I used in the first chapter.. The

Finite-length patents and functional differential equations in a non-scale RD-based growth model.. Lin,

Voskresenskii, E.V., Periodic solutions of nonlinear systems and the averaging method, translated from differential equations Mordavskii state Univ., (28) (1992). Source of

behaviour of large solutions of semilinear elliptic problems’, Differential Integral Equations 11 (1), 23–34. Marcus (2004), ‘Dependence of blowup rate of

e : quations (PDEs).The proposed method gives more general exact solutions for four different types of nonlinear partial differential equations such as the modified

Keywords: piecewise smooth systems of ordinary differential equations; Filippov solutions; sliding modes; microbial growth and metabolism; starvation response; metabolic shut

In the second chapter, one – dimensional stochastic differential equations are introduced, we touch upon the questions of existence and uniqueness of solutions in full

Cao have investigated the growth of solutions of some higher order nonhomogeneous linear differential equations and have obtained the following result..