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MATLAB CHAPTER 8 Numerical calculus and differential equations

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Title: MATLAB CHAPTER 8 Numerical calculus and differential equations


1
MATLAB ??CHAPTER 8 Numerical calculus and
differential equations

2
Review of integration and differentiation
  • Engineering applications
  • Acceleration and velocity
  • Velocity and distance
  • Capacitor voltage and current
  • Work expended

3
Integrals
  • Properties of integrals
  • Definite integrals
  • Indefinite integrals

This week's content handles definite integrals
only the answers are always numeric
see chapter 9
4
Improper integrals and singularities
  • Improper integrals
  • singularity

5
Derivatives
  • Integration
    differentiation
  • example

product rule
quotient rule
chain rule
1)
2)
3)
6
Numerical integration
  • Rectangular integration trapezoidal
    integration
  • Numerical integration functions

y
y
(exact solution)
yf(x)
yf(x)


(use of the trapz function)
x
x


a
a
b
b
7
Rectangular, Trapezoidal, Simpson Rules
  • Rectangular rule
  • Simplest, intuitive
  • wi 1
  • ErrorO(h) Mostly not enough!
  • Trapezoidal rule
  • Two point formula, hb-a
  • Linear interpolating polynomial
  • Simpsons Rule
  • Three point formula, h(b-a)/2
  • Quadratic interpolating polynomial
  • Lucky cancellation due to right-left symmetry
  • Significantly superior to Trapezoidal rule
  • Problem for large intervals -gt Use the extended
    formula

f0
f1
f(x)
x1b
x0 a
8
Matlab's Numerical Integration Functions
  • trapz(x,y) When you have a vector of
    data
  • trapezoidal integration method
  • not as accurate as Simpson's method
  • very simple to use
  • quad('fun',a,b,tol) When you have a function
  • adaptive Simpsons rule
  • integral of fun from a to b
  • tol is the desired error tolerance and is
    optional
  • quad1('fun',a,b,tol) Alternative to quad
  • adaptive Lobatto integration
  • integral of fun from a to b
  • tol is the desired error tolerance and is
    optional

9
Comparing the 3 integration methods
  • test case
  • Trapezoid Method
  • xlinspace(0,pi, 10)
  • ysin(x)
  • trapz(x,y)

(exact solution)
  • Simpson's Method
  • quad('sin',0,pi)
  • Lobatto's Method
  • quadl('sin',0,pi)

(
The answer is A1A20.6667, A30.6665
10
Integration near a Singularity
  • Trapezoid
  • x00.011
  • ysqrt(x)
  • A1trapz(x,y)
  • Simpson
  • A2quad('sqrt',0,1)
  • Lobatto
  • A3quadl('sqrt',0,1)

(The slope has a singularity at x0)
11
Using quad( ) on homemade functions
  • 1) Create a function file
  • function c2 cossq(x)
  • cosine squared function.
  • c2 cos(x.2)
  • Note that we must use array exponentiation.
  • 2) The quad function is called as follows
  • quad('cossq',0,sqrt(2pi))
  • 3) The result is 0.6119.

12
Problem 1 and 5 -- Integrate
  • Hint position is the integral of velocitydt
  • Hint Work is the integral of forcedx

13
Problem 11
  • First find V(h4) which is the Volume of the
    full cup
  • Hint Flow dV/dt, so the integral of flow
    (dV/dt) from 0 to t V(t)
  • Set up the integral using trapezoid (for part a)
    and Simpson (for b)
  • Hint see next slide for how to make a vector of
    integrals with changing b values
  • So you can calculate vector V(t), i.e. volume
    over time for a given flow rate
  • V quad(....., 0, t) where t is a vector of
    times
  • and then plot and determine graphically when V
    crosses full cup

14
To obtain a vector of integration results
  • For example,
  • sin(x) is the integral of the cosine(z) from z0
    to zx
  • In matlab we can prove this by calculating the
    quad integral in a loop
  • for k1101
  • x(k) (k-1) pi/100 x
    vector will go from 0 to pi
  • sine(k)quad('cos',0,x(k)) this
    calculates the integral from 0 to x
  • end
  • plot(x, sine)
    this shows the first half of a sine wave

  • calculated by integrating the cosine

15
Problem 14
  • Hint The quad function can take a vector of
    values for the endpoint
  • Set up a function file for current
  • Set up a vector for the time range from 0 to .3
    seconds
  • Then find v quad('current',0,t) will
    give a vector result
  • and plot v

16
Numerical differentiation
backward difference
forward difference
central difference
17
The diff function
  • The diff Function
  • d diff (x)
  • Backward difference central difference method
  • example

example x5, 7, 12, -20
d diff(x) d 2 5
-32
18
Try that Compare Backward vs Central
  • Central Difference
  • d2(y(3n)-y(1n-2))./(x(3n)-x(1n-2))
  • subplot(2,1,2)
  • plot(x(2n-1),td(2n-1),x(2n-1),d2,'o')
  • xlabel('x') ylabel('Derivative')
  • axis(0 pi -2 2)
  • title('Central Difference Estimate')
  • Construct function with noise
  • x0pi/50pi
  • nlength(x)
  • ysin(x) /- .025 random error
  • ysin(x) .05(rand(1,51)-0.5)
  • tdcos(x) true derivative
  • Backward difference using diff
  • d1 diff(y)./diff(x)
  • subplot(2,1,1)
  • plot(x(2n),td(2n),x(2n),d1,'o')
  • xlabel('x') ylabel('Derivative')
  • axis(0 pi -2 2)
  • title('Backward Difference Estimate')

19
Problem 7 Derivative problem
  • Hint velocity is the derivative of height

20
Problem 17
21
Polynomial derivatives -- trivia
Example p1 5x 2
p210x24x-3 Result der2 10, 4, -3
prod 150, 80, -7
num 50, 40, 23 den
25, 20, 4
  • b polyder (p)
  • p a1,a2,,an
  • b b1,b2,,bn-1
  • b polyder (p1,p2)
  • num, den polyder(p2,p1)

Numerical differentiation functions
22
Analytical solutions to differential
equations(1/6)
  • Solution by Direct Integration
  • Ordinary differential equation (ODE)
  • example
  • Partial differential equation (PDE) -- not
    covered

23
Analytical solutions to differential
equations(2/6)
  • Oscillatory forcing function
  • A second-order equation

example
Forcing function
24
Analytical solutions to differential
equations(3/6)
  • Substitution method for first-order equations

Natural (by Internal Energy) v.s. Forced Response
(by External Energy) Transient (Dynamics-dependent
) v.s. Steady-state Response (External
Energy-dependent)
25
Problem 18 solve on paper then plot(next week
we solve with Matlab)
  • Use the method in previous slide

26
Problem 21 solve on paper then plot(next week
we solve with Matlab)
  • Re-arrange terms
  • mv' cv f , OR
  • (m/c) v' v f/c
  • now it's in the same form as 2 slides back

27
Analytical solutions to differential
equations(4/6)
  • Nonlinear equations
  • Substitution method for second order
    equations(1/3)

example
(
)
1)
general solution
suppose that
solution
28
Analytical solutions to differential
equations(5/6)
  • Substitution method for second order
    equations(2/3)

2)
(
)
general solution
Eulers identities
period
frequency
3)
(
)
1. Real and distinct s1 and s2.
2. Real and equal s1.
3. Complex conjugates
29
Analytical solutions to differential
equations(6/6)
  • Substitution method for second order
    equations(3/3)
  • real, distinct roots m1,c8, k15.

characteristic roots s-3,-5.
2. complex roots m1,c10,k601
characteristic roots
3. unstable case, complex roots m1,c-4,k20
characteristic roots
4. unstable case, real roots m1,c3,k-10
characteristic roots s2,-5.
30
Problem 22
  • Just find the roots to the characteristic
    equation and determine which
  • form the free response will take (either
    1, 2, 3 or 4 in previous slide)
  • This alone can be a helpful check on matlab's
    solutionsif you don't get the right form, you
    can suspect there is an error somewhere in your
    solution

31
Next Week
  • we learn how to solve ODE's with Matlab
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