Midterm 3 Review

0.0(0)
Studied by 11 people
call kaiCall Kai
Locked
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/82

flashcard set

Earn XP

Description and Tags

BFITZ - Spring 2024

Last updated 11:28 PM on 4/17/24
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai
Chat

No analytics yet

Send a link to your students to track their progress

83 Terms

1
New cards

What is a unitary matrix?

Q* = Q^-1

2
New cards

What is a Hermition matrix

H* = H

3
New cards

The eigenvalues of A* are the…

conjugates of the eigenvalues of A

4
New cards

By the adjoint formula, <Av, w> =

<v, A*w>

5
New cards

det(A*)=

det(A)not

6
New cards

rank(A*) =

rank(A)

7
New cards

trace(A*) =

trace(A)not

8
New cards
term image

(A^-1)*

9
New cards
term image

c1notA1* + c2notA2*

10
New cards

What does conjugate transposition being an order-reversing involution imply?

(AB)* = B*A* and (A*)*

11
New cards

What is the conjugate transpose of A equal to?

A* = A^Tnot

12
New cards

What is right conjugate-linearity?

<v, cw> = c<v, w>

13
New cards

What is left conjugate-linearity?

<cv, w> = cnot<v, w>

14
New cards

What is the conjugate-symmetric property for the inner product in the complex plane?

<v, w> = <w, v>not

15
New cards

<v, w> = …?
What is the inner product of vectors in complex plane

Take the conjugate for each of the values of the FIRST vector, then use element-wise comparison

16
New cards

When you take the conjugate of a vector in the complex plane you have to…

take the conjugate of each of the values

17
New cards

What is the reciprocal of z=a+bi where z is not 0?

1/z = znot/(|z|²)

18
New cards

What is the absolute value of z = a+bi?

sqrt(a² + b²)

19
New cards

What is the conjugation of z = a+bi?

a-bi

20
New cards

What is the complex product for z1 and z2?

(a1a2 - b1b2) + (a1b2 + a2b1)i

21
New cards
<p>Label the categories</p>

Label the categories

Negative orientation, positive orientation, and coplanar

22
New cards

How do you determine the orientation and area of a parallelogram formed by vectors v and w?

The orientation is the SIGN of the det[v w], and the area is the ABSOLUTE VALUE of det[v and w]

23
New cards
<p>Label the categories</p>

Label the categories

Positive orientation, negative orientation, and colinear

24
New cards

What is Cramer’s Rule?

If A is invertible, then Ax = b is solved by x = (products of n det of Ai where each column i is replaced by b)^T/det(A)

25
New cards
<p>Fill in the blank</p>

Fill in the blank

adj(A)/det(A)

26
New cards

What does a matrix’s determinant say about its singularity?

If det(A) is 0, then A is singular

27
New cards
<p>What is it = to?</p>

What is it = to?

det(A) x In

28
New cards

How are the cofactor and adjugate matrices of a matrix A related?

The adjugate matrix is the transpose of the cofactor matrix

29
New cards

In PA = LU, A = P^TLU. What do det(P^T), det(L), and det(U) equal?

det(P^T) = det(P) = (-1)^(# of swaps)
det(L) = diagonal product

det(U) = diagonal product

30
New cards
<p>What is it equal to?</p>

What is it equal to?

det(A)det(B)

31
New cards
<p>What is it equal to?</p>

What is it equal to?

det(A)

32
New cards

What is the determinant of a triangular matrix?

The product of its diagonal

33
New cards
<p>DONT FORGET THIS!!</p>

DONT FORGET THIS!!

ith Row: aikCik
jth Col: akjCkj

34
New cards
<p>DONT FORGET THIS!!</p>

DONT FORGET THIS!!

(-1)^even = +1

(-1)^odd = -1

35
New cards

What is a cofactor of A?

Cij = (-1)^(i+j) det(Aij)

36
New cards

What is a minor (i, j) of A?

Mij = det(Aij)

37
New cards
<p>DONT FORGET THIS!!</p>

DONT FORGET THIS!!

determinant notation w/ sigma

38
New cards

Aij is obtained by____

deleting the ith row and jth column of A

39
New cards

What is R equal to in A = QR

R = Q^T A

40
New cards

How do you produce the columns of Q in A = QR?

Apply the Gram-Schmidt algorithm to the pivot columns of A

41
New cards

What is the gram-Schmidt general form for wd and qd?

wd = vd - projw1(vd)-…-projwd-1(vd)
qd = qd/||qd||

42
New cards
<p>compv1(v) = ?</p>

compv1(v) = ?

<v1, v>/||v1||

43
New cards
<p>What does the projection onto a vector 1-D vector space reduce to?</p>

What does the projection onto a vector 1-D vector space reduce to?

v1<v1, v>/<v1^T, v1>

44
New cards

The least squares problem Axhat = Pb reduces to what in A = QR?

Rxhat = Q^tb

45
New cards

In A = QR, the projection onto Col(A) is equal to____

QQ^T

46
New cards

The columns of Q in A = QR form an orthonormal basis of ______

Col(A)

47
New cards
<p>What do A and R have in common?</p>

What do A and R have in common?

Common Gramian and rank

48
New cards

An m x r matrix Q has orthonormal columns if and only if_____

Q^TQ = Ir

49
New cards
<p>What are the condition for a list of vectors to be orthonormal?</p>

What are the condition for a list of vectors to be orthonormal?

The vectors in the list are mutually orthogonal and each vector is a unit vector

50
New cards
<p>What are the dimensions of Q and R? What is special about Q and R?</p>

What are the dimensions of Q and R? What is special about Q and R?

Q is m x r with orthogonal columns,

R is r x n upper-triangular

51
New cards

For a function f(rnot) = ?

f(r)not = 0

52
New cards

Quadratic form is q(x) = ?

<x, Sx>

53
New cards

What is the outcome of completing the square?

<y, Dy> → where y = U^Tx
lambda1y1² + lambda2y2² + lambda3y3²…

54
New cards

What is the definiteness of a Gramian matrix?

Positive semidefinite

55
New cards

How do you obtain the columns of U for H = UDU*

Apply Gram-Schmidt to the eigenspaces of H

56
New cards

What qualities to U and D have for a spectral factorization UDU*?

U is unitary and D is real-diagonal

57
New cards

A matrix H is Hermitian only if it has a….

Spectral factorization where H = UDU*

58
New cards

By the spectral theorem, every Hermitian matrix is…

diagonalizable

59
New cards

By the spectral theorem, the eigenspaces of a Hermitian matrix H are…

orthogonal to each other

60
New cards

Real-symmetric matrices are also known as…

Hermitian matrices

61
New cards

By the spectral theorem, the eigenvalues of every Hermitian matrix H are…

real

62
New cards

What is the diagonal rule for matrix exponentials?

e^diag(d1,…,dn) = diag(e^d1,…, e^dn)

63
New cards

e^(a+bi) = …?

e^a
{cos(b)+isin(b)}

64
New cards

If A is diagonalizable, then exp(A) = …?

Xexp(D)X^-1

65
New cards
<p>u(t) = ?</p>

u(t) = ?

u(t) = exp(At)u0

66
New cards

If A is diagonalizable, then the columns of X are the…

linearly independent eigenvectors of A

67
New cards

What are the two tests for diagonalizability?

The sum of each of the geometric multiplicities equals the size of the matrix OR the gm=am for each eigenvalue

68
New cards

(-1)^n (det(A)) = ?

the product of each of the eigenvalues raised to their algebraic multiplicities

69
New cards

trace(A) =

the sum of the products between a matrix’s eigenvalues and algebraic multiplicity

70
New cards

If A is diagonalizable, then the diagonal entries of D are…

the eigenvalues of A

71
New cards

If A is diagonalizable that means…

A is similar to a diagonal matrix

72
New cards

What is the power rule in A~B?

A^k = X(B^k)(X^-1)

73
New cards

What is the eigenspace rule of A~B?

EA(lambda) = XEB(lambda)

74
New cards

If A is similar to B, then A =

XBX^-1

75
New cards
<p>Fill in the blanks</p>

Fill in the blanks

-trace(A) (-1)^n(det(A))

76
New cards

What are the geometric multiplicity bounds for the roots of the characteristic polynomial?

Between 1 and the am(lambda) inclusive

77
New cards

What do the algebraic multiplicities sum to?

the size of a matrix

78
New cards

The roots of xA(t) are the…

eigenvalues of A

79
New cards

xA^T(t) = ?

xA(t)

80
New cards

What is the characteristic polynomial xA(t)?

xA(t) = det(tIn - A)

81
New cards

What are the vieta formulas?

cn-1 = (m1r1 +….+ mkrk)
c0 = (-1)^n r1^m1… rk^mk

82
New cards

What does the sum of multiplicities equal to?

The degree of the polynomial

83
New cards

What is the form of the fundamental theorem of algebra?

f(t) = (t-r1)^m1…(t-rk)^mk