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Solutions to problems related to inner products and quadratic forms in math 415. Topics covered include symmetry, positivity, linearity, cauchy schwarz inequality, and gaussian elimination. Students can use this document as a study resource for understanding these concepts and solving related problems.
Typology: Assignments
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Problems: 3.1.1, 3.1.3, 3.1.5, 3.1.14, 3.1.20, 3.2.37, 3.4.1, 3.4.2, 3.4.6, 3.4.22(vii), 3.4.24 (vii),
3.5.3, 3.5.6 (c)
Problem 3.1.
Symmetry: 〈v, w〉 = v 1 w 1 − v 1 w 2 − v 2 w 1 + bv 2 w 2 = w 1 v 1 − w 1 v 2 − w 2 v 1 + bw 2 v 2 = 〈w, v〉
Linearity:
〈cv+du, w〉 = (cv 1 + du 1 )w 1 − (cv 1 + du 1 )w 2 − (cv 2 + du 2 )w 1 + b(cv 2 + du 2 )w 2
= cv 1 w 1 + du 1 w 1 − cv 1 w 2 − du 1 w 2 − cv 2 w 1 − du 2 w 1 + bcv 2 w 2 + bdu 2 w 2
= c(v 1 w 1 − v 1 w 2 − v 2 w 1 + bv 2 w 2 ) + d(u 1 w 1 − u 1 w 2 − u 2 w 1 + bu 2 w 2 )
= c 〈v, w〉 + d 〈u, w〉
Linearity in the second argument now follows from this calculation and symmetry.
Positivity: 〈v, v〉 = v 2 1 − v 1 v 2 − v 2 v 1 + bv 2 2 = v 2 1 − 2 v 1 v 2 + v 2 2 − v 2 2
This expression is a sum of squares with positive coefficients when b > 1. Thus 〈v, v〉 ≥ 0 and
vanishes only if v 2 = 0 and v 1 = v 2 i.e. v = 0. On the other hand, if b ≤ 1, then any vector with
v 1 = v 2 6 = 0 will make 〈v, v〉 either zero or negative.
Problem 3.1.
Check positivity: 〈v, v〉 = v
2 1 +^ v^1 v^2 +^ v^2 v^1 +^ v
2 2 = (v^1 +^ v^2 )
2
. This shows that the vector v = (
1 − 1
is non-zero but 〈v, v〉 = 0. Thus positivity is violated.
Problem 3.1.
(a) Euclidean: v 2 1
(b) Here 2v
2 1
2 2 = 1. This is an ellipse in the v 1 vs v 2 plane of imnor axis 1/
5 along the v 2 axis
and major axis 1/
2 along the v 1 axis.
(c) Here v
2 1 −^2 v^1 v^2 + 4v
2 2 = (v^1 −^ v^2 )
2
2 2 =^ y
2 1 + 3y
2 2 = 1 where^ y^1 =^ v^1 −^ v^2 and^ y^2 =^ v^2. This
an ellipse in the y 1 vs y 2 plane, a rotation of the v 1 vs v 2 plane.
(d) See b) and c).
Problem 3.1.
Using the dot product definition as v · w = v
T w, we find that
v · (Aw) = v
T Aw
T v)
T w
T v) · w
Problem 3.1.
(a)
x, 1 + x 2
1 0
x(1 + x 2 )dx =
3 4
, ‖x‖ =
1 0
x 2 dx =
1 3
∥1 + x^2
1 0
(1 + x 2 ) 2 dx =
2 15
(b)
x, 1 + x
2
− 1 x(1 + x
2 )dx = 0, ‖x‖ =
− 1 x 2 dx =
1 3
1 + x
2
− 1 (1 + x 2 ) 2 dx =
2 15
(c)
x, 1 + x
2
0
x(1 + x
2 )xdx =
8 15 , ‖x‖ =
0
x 2 xdx =
1 2
1 + x
2
0
(1 + x 2 ) 2 xdx =
1 6
Problem 3.2.
(a) Cauchy Schwarz Inequality:
1 0
f (x)g(x)e x dx
1 0
f (x) 2 e x dx
1 0
g(x) 2 e x dx
Triangle Inequality:
1 0
(f (x) + g(x)) 2 e x dx ≤
1 0
f (x) 2 e x dx +
1 0
g(x) 2 e x dx
(b)
1 0
f (x)g(x)e x dx =
1 0
e 2 x dx =
1 2
e 2 −
1 2
1 0
f (x) 2 e x dx =
1 0
e x dx = e − 1 ,
1 0
g(x) 2 e x dx = ∫ (^1)
0
e
3 x dx =
1 3 e
3 −
1 3
0
(f (x)+g(x))
2 e
x dx =
0
(1+e
x )
2 e
x dx =
0
(e
x +2e
2 x +e
3 x )dx = e+e
2
1 3 e
3 −
7 3
So Cauchy Schwarz:
2 e
2 −
1 2
e − 1
1 3 e 3 −
1 3 = 3.3063 - verified!
and Triangle:
e + e 2
1 3
e 3 −
7 3
e − 1 +
1 3
e 3 −
1 3
= 3.8331 - verified!
(c) The angle between f (x) = 1 and g(x) = e
x is θ where
cos θ =
〈f,g〉 ‖f ‖‖g‖
1 2 e 2 − 1 2 √ e− 1
1 3 e^3 − 1 3
=. 9662 ⇒ θ = cos
− 1 (.9662) = .26074 radians =. 26074
180 π
degrees
Problem 3.4.
(a) Yes: Diagonal with all positive entries
(b) No: Associated quadratic form is q(x) = q(x 1 , x 2 ) = 3x 1 x 2 which is negative any time that
x 1 < 0 and x 2 > 0.
(c) No: The (1,1) entry is positive but the determinant is 1 × 1 − 2 × 2 = −3 is negative.
(d) No: The (1,1) entry is positive but the determinant is 5 × (−2) − 3 × 3 = −19 is negative.
(e) Yes: The (1,1) entry is positive and the determinant is 1 × 3 − (−1) × (−1) = 2 is positive.
(f) No: The matrix is not symmetric and so cannot be positive definite.
Problem 3.4.
q(x) =
x 1 x 2
x 1
x 2
= (x 1 + 2x 2 ) x 1 + (2x 1 + 3x 2 ) x 2 = x 2 1
x
2 1 + 4x^1 x^2 + 4x
2 2 −^ x
2 2 = (x^1 + 2x^2 )
2 − x
2
Problem 3.4.
The quadratic form of K is q(x) = x
T Kx and we know this is always positive unless x = 0. The
quadratic form of cK is ˆq(x) = x
T (cK)x = c(x
T Kx) = cq(x). Given that c > 0 we conclude that
qˆ(x) is positive unless x = 0.
Problem 3.4.22(vii)
(a) K =
(b) By Gaussian Elimination:
Since there are three pivots, the vectors are linearly independent, and so K is positive definite.
(c) Nothing to do! kerK = { 0 }
positive definite iff q(x, y, z) is positive definite, iff ˆq(r, s, t) is positive define (which is true since it
is a sum of squares with positive coefficients).
Problem 3.5.6 (c)
q(x 1 , x 2 , x 3 ) = 2x
2 1
2 2 − 2 x 2 x 3 + 2x
2 3
= 2(x
2 1 + 2x^1 (^
x 2 − 2 x 3
)) + 2x
2 2 −^2 x^2 x^3 + 2x
2 3
= 2(x
2 1 + 2x^1 (^
x 2 − 2 x 3
x 2 − 2 x 3
2 ) − 2(
x 2 − 2 x 3
2
2 2 −^2 x^2 x^3 + 2x
2 3
= 2(x 1 +
x 2 − 2 x 3
2 −
x
2 2 +
x 2 x 3 −
x
2 3 + 2x
2 2 −^2 x^2 x^3 + 2x
2 3
= 2(x 1 +
x 2 − 2 x 3
2
x
2 2 −^
x 2 x 3 +
x
2 3
= 2(x 1 +
x 2 − 2 x 3
2
(x
2 2 −^2 x^2 (
x 3 )) +
x
2 3
= 2(x 1 +
x 2 − 2 x 3
2
(x
2 2 −^2 x^2 (
x 3 ) + (
x 3 )
2 ) −
x 3 )
2
x
2 3
= 2(x 1 +
x 2 − 2 x 3
2
(x 2 −
x 3 )
2
x
2 3
which is a sum of squares with positive coefficients. Moreover, it vanishes only if x 3 = 0, x 2 =
2 5 x 3 =
0 , x 1 = −
1 4 (x 2 − 2 x 3 ) = 0. Done!