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Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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What is part bii?
![Let to < t1 < t2 < t3 and wo, w₁, w2, and w³ be constants.
(a)
S[w] = [
-t3
the stationary path w(t) of the functional
[{"ʻdt w" (t)², w(to) = wo, w(t) = wr, w(tz)=wz, w(ts)=wa,
is given by w(t) = co+c₁t + c2t² + c3t³ where co, €1, c2 and c3
satisfy the matrix equation
Vc =
= W
where
Wo
co
1 to
W1
€1
and w =
1 t₁
c =
7
W2
€2
1 t₂
03
C3
1 t3
You may use the fact that w(t) satisfies the equation
OF
d OF
ď² OF
+
= 0,
მი
dt ǝw
dt² ǝw"
where F(t, w, w', w") = w" (t)².
(b) let Pi
=
(xi, Yi, Zi), i = 0, 3 be four points in three-dimensional
space. Let paths x(t), y(t) and z(t), parametrized by t, interpolate
Po, … … …, P3 at t = to,……, t3 respectively, so that
(x(ti), y(ti), z(ti)) = (xi, Yi, Zi) for i = 0, … … …,
3.
A spline is a choice of interpolating functions x(t), y(t) and z(t)
such x, y and z are each stationary paths of the functional S[w]
given in (a) above.
(i)
x(t) = €2,0 + €2,1t+Cz,2t² + Cz,3t³,
y(t) = Cy,0 + Cy,1t + Cy,2t² + Cy,3t³,
z(t) = €2,0 + cz,1t+Cz,2t² + Cz,3t³,
VC = x,
where
(CÃ,0 €₂,0 €2,0\
xo Yo Zo
C=
Cz,1 Cy,l Cz,1
X1 Y1
21
and X =
=
Cz,2 Cy,2 Cz,2
Cz3 Cy3 Cz,3/
X2 Y2 Z2
3 Y3 Z3,
(ii) For the case to = 0, t₁
= 1, t2 = 2 and t3 3 and
=
-
Po = (0,0,0), P₁ = (1,0,0), P₂ = (1,1,0), and P3 = (1,1,1),
find the interpolating functions x(t), y(t) and z(t).
You may find the following matrix result useful:
1
1 0 0 0
1
0
0
0
1 1 1
1
1 2 4 8
1
3927
=
-11/6 3 -3/2 1/3
1 -5/2 2 -1/2
−1/6 1/2 −1/2 1/6](https://content.bartleby.com/qna-images/question/a6c8ed7d-75cc-4e27-869e-3ad6a1efc0b4/3d8317a8-f07a-4666-b0f3-39aac6af3716/qbjpmy8_thumbnail.png)
Transcribed Image Text:Let to < t1 < t2 < t3 and wo, w₁, w2, and w³ be constants.
(a)
S[w] = [
-t3
the stationary path w(t) of the functional
[{"ʻdt w" (t)², w(to) = wo, w(t) = wr, w(tz)=wz, w(ts)=wa,
is given by w(t) = co+c₁t + c2t² + c3t³ where co, €1, c2 and c3
satisfy the matrix equation
Vc =
= W
where
Wo
co
1 to
W1
€1
and w =
1 t₁
c =
7
W2
€2
1 t₂
03
C3
1 t3
You may use the fact that w(t) satisfies the equation
OF
d OF
ď² OF
+
= 0,
მი
dt ǝw
dt² ǝw"
where F(t, w, w', w") = w" (t)².
(b) let Pi
=
(xi, Yi, Zi), i = 0, 3 be four points in three-dimensional
space. Let paths x(t), y(t) and z(t), parametrized by t, interpolate
Po, … … …, P3 at t = to,……, t3 respectively, so that
(x(ti), y(ti), z(ti)) = (xi, Yi, Zi) for i = 0, … … …,
3.
A spline is a choice of interpolating functions x(t), y(t) and z(t)
such x, y and z are each stationary paths of the functional S[w]
given in (a) above.
(i)
x(t) = €2,0 + €2,1t+Cz,2t² + Cz,3t³,
y(t) = Cy,0 + Cy,1t + Cy,2t² + Cy,3t³,
z(t) = €2,0 + cz,1t+Cz,2t² + Cz,3t³,
VC = x,
where
(CÃ,0 €₂,0 €2,0\
xo Yo Zo
C=
Cz,1 Cy,l Cz,1
X1 Y1
21
and X =
=
Cz,2 Cy,2 Cz,2
Cz3 Cy3 Cz,3/
X2 Y2 Z2
3 Y3 Z3,
(ii) For the case to = 0, t₁
= 1, t2 = 2 and t3 3 and
=
-
Po = (0,0,0), P₁ = (1,0,0), P₂ = (1,1,0), and P3 = (1,1,1),
find the interpolating functions x(t), y(t) and z(t).
You may find the following matrix result useful:
1
1 0 0 0
1
0
0
0
1 1 1
1
1 2 4 8
1
3927
=
-11/6 3 -3/2 1/3
1 -5/2 2 -1/2
−1/6 1/2 −1/2 1/6
![02@
knew to get stationary point which minimizers is given functional, we consider associated
Euler- Lagrange's equation :
=
=
Cy,ot
裴一起()+()=
= 0
зст
=
0261
x(t) = a + a₁ (t-to) + a₂ (t-to) (t-t₁) + a3 (t-to) (t-t₁) (t-t>)
Similarly, y
Cx,0 + Cx,, •t + Cx₁₂ •t² + Cx,³t³
Cy,1
.t
Cz,o + G₁₁ • t + G₁₂²±² + G₁st³
+Cyz
→d (20")
=0
⇒
=0
(integrating wir.to it)
اطمه
dt
=
(again integrating)
Art + A1
→ dn = Aof² + Alt + A₂
→ Wits = Aof ³ + AL + ² + Art + A3
(again integracting)
For t = to,
Xx₁ = x(to)=Cx,0 + Cx,1 to + Cx12 to² + Cx,3 to³
Yo = y(to) = Cyro + Cyll to + Cyr 2 to² + Cy, 3 to ³
30 = 3 (to) = C₂,0 + C₂,1 •to + C₂₁₂ to ² + C₂13 to ³
Lagain integrating)
Let
Co = A 3
Cl = Az Cz =
>
= A and C3 = to where Ao, A1, A2, As are
For t = ti
(i.e. 1, 2, 3) in general,
So we get wit
Co + c₁t + c₂t² + c₂t³
arbitrary constants.
xi
=
Cx10 + Cx, ti + Cx, 2 t₁ + Cx,3 ti
Yi
=
Cyro + Cyll ti
+
Cy,zti +
Cysti
Zi
=
G₁o + C₁₁te + G₁zt² + G₁3 ti
Now
w(to) = Wo ⇒ Co + Cito + C₂ to² + C3 to ³
wlti)
= Wo
= W₁ = Co + at₁ + cati² + as t₁³
= W₁
wct₂)
=
W₂ Co + C₁tz +C₂t₂² + c₂+33 = W₂
Wcb3) = W3 ⇒ Co + Cits + C₂tz² + Czt
=
W3
For X
In
• matrix form,
* * *
= V
Cx, o
Cx,1
655
می کی کی می
Co
=
हु हु हु
W₂
Cx,2
-Cx, 3
LW3.
for y,
=
vx,
For 31
30
31
on on A or CE
32
Cy1o
yz
Cy
Cy1z
Cy,3]
=
=
VG,1
4,2
C310
= √x3
Gis
⇒
VC = W
where
v=
b₁
fox for t
+ty of of
C = Co
and w=
Wo
G
W₁
Cz
W₂
LW3.
Thus
we
'
get the stationary
functional
Co, C., C2,C3 obtained from matrix equation VC=w.
path is
given
is
Web) = Co + C₁t + C₂t² + Cst³ where
Схіо Сую
X
Yo
30
vc = v
Cxpl
Cy₁'
G₁ = [VX √x₂ VX3]
81
= X
Cx, 2
Cy, 2
C₁z
Уг
82
Cx13
Cy.3
48.31
X3
Уз
83](https://content.bartleby.com/qna-images/question/a6c8ed7d-75cc-4e27-869e-3ad6a1efc0b4/3d8317a8-f07a-4666-b0f3-39aac6af3716/q2ldb9y_thumbnail.png)
Transcribed Image Text:02@
knew to get stationary point which minimizers is given functional, we consider associated
Euler- Lagrange's equation :
=
=
Cy,ot
裴一起()+()=
= 0
зст
=
0261
x(t) = a + a₁ (t-to) + a₂ (t-to) (t-t₁) + a3 (t-to) (t-t₁) (t-t>)
Similarly, y
Cx,0 + Cx,, •t + Cx₁₂ •t² + Cx,³t³
Cy,1
.t
Cz,o + G₁₁ • t + G₁₂²±² + G₁st³
+Cyz
→d (20")
=0
⇒
=0
(integrating wir.to it)
اطمه
dt
=
(again integrating)
Art + A1
→ dn = Aof² + Alt + A₂
→ Wits = Aof ³ + AL + ² + Art + A3
(again integracting)
For t = to,
Xx₁ = x(to)=Cx,0 + Cx,1 to + Cx12 to² + Cx,3 to³
Yo = y(to) = Cyro + Cyll to + Cyr 2 to² + Cy, 3 to ³
30 = 3 (to) = C₂,0 + C₂,1 •to + C₂₁₂ to ² + C₂13 to ³
Lagain integrating)
Let
Co = A 3
Cl = Az Cz =
>
= A and C3 = to where Ao, A1, A2, As are
For t = ti
(i.e. 1, 2, 3) in general,
So we get wit
Co + c₁t + c₂t² + c₂t³
arbitrary constants.
xi
=
Cx10 + Cx, ti + Cx, 2 t₁ + Cx,3 ti
Yi
=
Cyro + Cyll ti
+
Cy,zti +
Cysti
Zi
=
G₁o + C₁₁te + G₁zt² + G₁3 ti
Now
w(to) = Wo ⇒ Co + Cito + C₂ to² + C3 to ³
wlti)
= Wo
= W₁ = Co + at₁ + cati² + as t₁³
= W₁
wct₂)
=
W₂ Co + C₁tz +C₂t₂² + c₂+33 = W₂
Wcb3) = W3 ⇒ Co + Cits + C₂tz² + Czt
=
W3
For X
In
• matrix form,
* * *
= V
Cx, o
Cx,1
655
می کی کی می
Co
=
हु हु हु
W₂
Cx,2
-Cx, 3
LW3.
for y,
=
vx,
For 31
30
31
on on A or CE
32
Cy1o
yz
Cy
Cy1z
Cy,3]
=
=
VG,1
4,2
C310
= √x3
Gis
⇒
VC = W
where
v=
b₁
fox for t
+ty of of
C = Co
and w=
Wo
G
W₁
Cz
W₂
LW3.
Thus
we
'
get the stationary
functional
Co, C., C2,C3 obtained from matrix equation VC=w.
path is
given
is
Web) = Co + C₁t + C₂t² + Cst³ where
Схіо Сую
X
Yo
30
vc = v
Cxpl
Cy₁'
G₁ = [VX √x₂ VX3]
81
= X
Cx, 2
Cy, 2
C₁z
Уг
82
Cx13
Cy.3
48.31
X3
Уз
83
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