Exam 3 Flashcards

1
Q

How do you calculate the angle between 2 vectors?

A

cos θ = <u> / llull llvll</u>

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2
Q

How do you calculate the projection of u onto v

A

Projection u = (<u>v) /</u>

v</u>

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3
Q

How do you calculate the distance between u and v?

A

d(u,v) = llu - vll

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4
Q

Inner Product Properties:

Axiom 3

A

Axiom 3:

<u> = = c<u></u></u>

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5
Q

Inner Product Properties:

Axiom 4

A

Axiom 4:
<u> >= 0</u>

<u> = 0 if and only if u = 0</u></u>

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6
Q

Linear transformation?

A

Show:
preserves addition
preserves scalar multiplication
T(cv) = cT(v)

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7
Q

How do you find ker(T)?

A

Let x = (x1,…,xn) ε ker(T), then

T(x)=0

Solve matrix

Resulting vectors span ker(T)

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8
Q

What is ||u||^2?

A

<u></u>

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9
Q

How do you calculate ||u||?

A

Calculate ||u||^2 = <u></u>

Take the square root of the answer</u>

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10
Q

How do you find a basis for range(T)?

A

A basis for the range(T) is the column space of A

Find REF of A. Leading 1s in REF, corresponding column vectors in A form C(A)

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11
Q

How do you express a vector,v, as a l.c. of vectors in an orthonormal set {u1,…,un}?

A

v = u1 + … + un

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12
Q

How do you find the transformation of a vector given preimages and transformations of other vectors?

A

v = c1u1 + … + cnun

T(v) = c1T(u1) + … + cnT(un)

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13
Q

How do you find the standard matrix of T?

A

T(x1,…,xn)^t = [matrix, lined up properly]
= [coefficients][x’s]

Coefficient matrix is A sub t (std matrix for T)

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14
Q

Euclidean inner-product

A

Regular dot product

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15
Q

What do you write when you have found eigenvectors of A corresponding to lamda = 3

A
Solutions to (3I - A)x=0 are 
x = s(..,..,..)^t + t(..,..,..)^t

Eigenvectors of A corr. to lamda = 3 are nontrivial l.c.’s of (..,..,..) , (..,..,..).

If it is a single eigenvector:

Eigenvectors of A corr. to lamda = 3 are nontrivial scalar multiples of (..,..,..).

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16
Q

How do you find eigenvalues?

A

Determinant!

lamda*I - A | = 0

17
Q

How do you use a A_B,B’?

A

First find the coordinate matrix of v relative to B: [v]_B, then

[T(v)] = A_B,B’ * [v]_B