Test 2 Flashcards

1
Q

If f is a function in the vector space V of all real-valued functions of R and if f(t)=0 for some t, then f is the zero vector in V.

A

FALSE. while f(t) = 0 for some t might be a property of a function, it doesn’t guarantee that the function is the zero vector in the vector space

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2
Q

The Null Space of A is the solution set of the equation Ax = 0

A

TRUE

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3
Q

Col A is the set of all SOLUTIONS to Ax = b

A

FALSE - Col(A) determine all the possible OUTPUT, not solution

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4
Q

If the equation Ax = b is consistent, then Col(A) = R^m

A

FALSE - Col(A) might not Span all of R^m.

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5
Q

The RANGE of a linear transformation is a vector space

A

TRUE - also the range is a subspace of the output vector space W.

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6
Q

A single vector by itself is linear dependent

A

FALSE - single vector by itself cannot be expressed as a linear combination of any other vectors, including itself (with a zero scalar).

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7
Q

If H = Span{b1…bp}, then {b1…bp} is a basis for H

A

TRUE

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8
Q

If V = R^n and C is the std basis for V, then P(C<-B) is the same as the change of coordinates matrix PB.

A

TRUE

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9
Q

If v1…vp are in R^n , then Span{v1…vp} is the same as the column space of the matrix [v1…vp]

A

TRUE

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10
Q

If B ={v1…vp} is a basis for a subspace H and if x =c1v1 +…+cpvp, then c1,…cp are the coordinates of x relative to the basis B.

A

TRUE

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11
Q

The dimension of Col A is the number of pivot columns of A.

A

TRUE

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11
Q

Each line in R^n is a one-dimensional subspace of R^n

A

FALSE - could be 0

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12
Q

If P[B] is the change-of-coordinates matrix, then [x]B = P[B].x, for x in V

A

FALSE - b/c [x]B = x . (P[B])^-1

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13
Q

A plane in R^3 is a two-dimensional subspace of R^3

A

TRUE

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14
Q

The dimension of the vector space of signals S is 10

A

FALSE

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15
Q

Given A an n x n invertible matrix, the following are equivalent

A
  1. Columns of A form a basis of R^n
  2. Col A = R^n
  3. Rank A = n
  4. Nullity A = 0
  5. Nul(A) = {0}
16
Q

If V = R^n and C is the std basis for V, then P(C<-B) is the same as the change of coordinates matrix P(B) in 4.4

A

TRUE

17
Q

An n x n determinant is defined by determinants of (n-1) x (n-1) submatrices.

A

FALSE - missing cofactor

18
Q

a row replacement operation does not affect the determinant of a matrix

A

TRUE - row replacement det A = det B

19
Q

If the columns of A are linearly dependent , then det A = 0

A

TRUE - colinear lines will have zero area (det = 0)

20
Q

If three row interchanges are made in succession, then the new determinant equals the old determinant

A

FALSE - each row interchanges multiply det by (-1); three times will made det A = - det B

21
Q

The set of 2x2 matrices with positive determinant is a subspace

A

FALSE - not enough information to satisfy conditions:
1. Closure under addition det(A+B) > 0
2. A + B > 0

22
Q

The set of 2x2 matrices with zero determinant is a subspace

A

FALSE - det(A+B) might not = 0 and also linear dependent row/col might not sustain once added

23
Q

If A is a 2x2 matrix with a zero determinant, then one column of A is a multiple of the other

A

TRUE - det = 0 means linear dependent row/col

24
Q

If B is produced by multiplying row 3 of A by 5, then det B = 5. det A

A

TRUE

25
Q

det ( A^T . A ) >= 0

A

TRUE when A is positive definite matrices

26
Q

The set of all linear combinations of v1,…,vp is a vector space

A

TRUE

27
Q

If S is linearly independent, then S is a basis for V

A

FALSE - only one condition satisfied, S also need to span space V

28
Q

If Span S = V, then some subset of S is a basis for V

A

TRUE

29
Q

Determine if w = [. . .] is in subspace of R^3 created by v1=[. . .] and v2=[. . .]

A

w must be in Span (v1,v2) or w must be the result of a linear combination of v1,v2 ( c1v1 + c2v2 = w)

30
Q

Determine given sets { [. .]; [. .] } that can become basis for R^2 or R^3

A
  1. Check det; if det is non-zero -> invertible -> sets are basis for R^2 / R^3
  2. Must have n pivot position in n row for R^n
31
Q

Rank of matrix A is dimension of pivot column space A

A

TRUE - n pivot columns -> rank = n

32
Q

Rank(A) + dim Nul(A) = n

A

TRUE - n = total number of columns in matrix A

33
Q

Find coordinate of x in subspace B generated by basis b1,b2

A

by finding scalars c1.b1 + c2.b2 = [x1; x2]
[x]B = [x1; x2]

34
Q
A