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Course title is Seminar in Engineering Analysis. Analytic and numerical methods applied to the solution of engineering problems at an advanced level. Solution methods are demonstrated on a wide range of engineering topics, including structures, fluids, thermal, thermal energy transport, and mechanical systems.
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Larry Caretto
Mechanical Engineering 501B
Seminar in Engineering Analysis
January 26, 2009
2
Outline
3
Review Last Lecture
∞
=
= 0
( ) () m
fx am ymx
∫
∫ = = b
a
m m
b
a
m
m m
m m pxy xy xdx
pxy xfxdx
y y
y f a
() () ( )
() () ()
,
( , )
weight function
compute a (^) m 4
Review Orthogonal Functions
( ) (^) i ij
b
a
yi yj yi xyjxpxdx y δ
( ) (^) ij
b
a
i
i i (^) y
y f =
5
Review Sturm-Liouville
General equation whose solutions provide orthogonal eigenfunctions
[ ( ) ( )] 0
1 2
1 2
=
=
x b
xa
6
Review Sturm-Liouville Results
7
Review Eigenfunction Expansions
∑
∞
=
0
m
∫
∫ = = b
a
m m
b
a
m
m m
m m pxy xy xdx
pxy x f xdx
y y
y f a
( ) ( ) ( )
8
Review Expansion of f(x) = x
π
= π
π
= =
m
x mxdx
mxdx
x mxdx
y y
y f a
m
m m
m m
1
1
0 1
0
2
1
0 2 (^1 )
2
1
sin( )
sin( )
sin( )
,
( , )
⎥ ⎦
⎤ ⎢ ⎣
⎡ = = − + − +L 4
sin( 4 ) 3
sin( 3 ) 2
sin( 2 ) 1
2 sin( ) ( )
x x x x fx x
π π π π π
9
Review Partial Sums – Small
0
0.
0.
0.
0.
0.
0.
0.
0.
0.
1
1.
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 x
Series sum
Exact 1 term 2 terms 3 terms 5 terms 10 terms
10
Review Partial Sums – Large
0
0.
0.
0.
0.
0.
0.
0.
0.
0.
1
1.
1.
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 x
Series sums
Exact 10 terms 25 terms 50 terms 100 terms
11
Fourier Series
expansions
12
Fourier Series
defined for –L < x < L
∑
∞
=
1
n
n n
∫ −
L
L
0
∫ −
L
L
∫ −
L
L
19
Even Function Cosine Series
∑
∞
=
1
n
n
π
∫ ∫
−
L L
L
0
∫ ∫ ⎟ ⎠
−
L L
L
n dx L
nx f x L
dx L
n x f x L
a 0
( )cos
( )cos
20
Half-interval series
21
Half-interval Series Example
1 for 0 ≤ x ≤ L
equations for Fourier sine series
∑
∞
=
⎟ ⎠
⎞ ⎜ ⎝
1
( ) sin n
n L
nx f x b
π
π
− ⎟ = ⎠
⎞ ⎜ ⎝
⎛ π ⎟ = ⎠
⎞ ⎜ ⎝
n
L dx L
nx x L
dx L
nx f x L
b
L L n n
1
0 0
2 1 sin
2 ()sin
2
Fourier Sine Series for f(x) = x
-1.
-1.
-0.
-0.
-0.
-0.
-0.
-0.
-0.
-0.
-0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
1.
1.
-1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2. x
f(x)
Exact 1 term 2 terms 5 terms 10 terms
23
Cosine Series for f(x) = x
0
2
0 0
0
x L
L
xdx L
f xdx L
a
L L L
⎥^ = ⎦
∫ ∫
L
L L
n
0
2
0 0
∫ ∫
24
Cosine Series for f(x) = x
[ ( ) ] [ ( )
]
2 cos 1 4 ( 0 )sin( 0 )
cos cos( 0 ) sin
cos sin
2 2
2
0
2
odd n n
n
L n
L n n
n n
n x
n
x
L
n x
n
a
L
n
25
Cosine Series for f(x) = x
∑ ∑
∞
=
∞
=
⎟ ⎠
⎞ ⎜ ⎝
⎛ ⎟= − ⎠
⎞ ⎜ ⎝
⎛ = + 1 , 3 , 5 ,K
2 2 1
0 cos
4 1
2
( ) cos n n
n L
nx
n
L L
L
nx fx a a
π
π
π
( )
∑
∞
=
0
2 2
cos 2 1
m L
m x
m
f x
x
L
x
L
cos 25
cos 9
cos
2
Cosine series for f(x) = x
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
1.
-1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2. x
f(x)
Exact 1 term 2 terms 5 terms 10 terms
27
Complex Fourier Series
∑
∞
=−∞
n
inx f ( x ) cn e ∫
−
−
L
L
inx
28
Summary
show application to any function
expansions: find the coefficients