Test 2 Flashcards
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.
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
The Null Space of A is the solution set of the equation Ax = 0
TRUE
Col A is the set of all SOLUTIONS to Ax = b
FALSE - Col(A) determine all the possible OUTPUT, not solution
If the equation Ax = b is consistent, then Col(A) = R^m
FALSE - Col(A) might not Span all of R^m.
The RANGE of a linear transformation is a vector space
TRUE - also the range is a subspace of the output vector space W.
A single vector by itself is linear dependent
FALSE - single vector by itself cannot be expressed as a linear combination of any other vectors, including itself (with a zero scalar).
If H = Span{b1…bp}, then {b1…bp} is a basis for H
TRUE
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.
TRUE
If v1…vp are in R^n , then Span{v1…vp} is the same as the column space of the matrix [v1…vp]
TRUE
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.
TRUE
The dimension of Col A is the number of pivot columns of A.
TRUE
Each line in R^n is a one-dimensional subspace of R^n
FALSE - could be 0
If P[B] is the change-of-coordinates matrix, then [x]B = P[B].x, for x in V
FALSE - b/c [x]B = x . (P[B])^-1
A plane in R^3 is a two-dimensional subspace of R^3
TRUE
The dimension of the vector space of signals S is 10
FALSE