If S is the set of vectors in R^4 (S= {v1, v2, v3, v4, v5})
where,...
If S is the set of vectors in R^4 (S= {v1, v2, v3, v4, v5})
where, v1 = (1,2,-1,1), v2 = (-3,0,-4,3), v3 = (2,1,1,-1), v4 =
(-3,3,-9,-6), v5 = (3,9,7,-6)
Find a subset of S that is a basis for the span(S).
1) Let S={v_1, ..., v_p} be a
linearly dependent set of vectors in R^n. Explain why...
1) Let S={v_1, ..., v_p} be a
linearly dependent set of vectors in R^n. Explain why it is the
case that if v_1=0, then
v_1 is a trivial combination of the other vectors
in S.
2) Let S={(0,1,2),(8,8,16),(1,1,2)} be a set of column vectors
in R^3. This set is linearly dependent. Label each vector in S with
one of v_1, v_2, v_3 and find constants, c_1, c_2,
c_3 such that c_1v_1+ c_2v_2+
c_3v_3=0. Further, identify the
value j and v_j...
Let S = {v1, v2, v3, v4} be a given basis of R ^4 . Suppose...
Let S = {v1, v2, v3, v4} be a given basis of R ^4 . Suppose that
A is a (3 × 4) matrix with the following properties: Av1 = 0, A(v1
+ 2v4) = 0, Av2 =[ 1 1 1 ] T , Av3 = [ 0 −1 −4
]T . Find a basis for N (A), and a basis for R(A). Fully
justify your answer.
Let V be the set of all triples (r,s,t) of real numbers with the
standard vector...
Let V be the set of all triples (r,s,t) of real numbers with the
standard vector addition, and with scalar multiplication in V
defined by k(r,s,t) = (kr,ks,t). Show that V is not a vector space,
by considering an axiom that involves scalar multiplication. If
your argument involves showing that a certain axiom does not hold,
support your argument by giving an example that involves specific
numbers. Your answer must be well-written.
5.
Let S be the set of all polynomials p(x) of degree ≤ 4 such
that...
5.
Let S be the set of all polynomials p(x) of degree ≤ 4 such
that
p(-1)=0.
(a) Prove that S is a subspace of the vector space of all
polynomials.
(b) Find a basis for S.
(c) What is the dimension of S?
6.
Let ? ⊆ R! be the span of ?1 = (2,1,0,-1), ?2
=(1,2,-6,1),
?3 = (1,0,2,-1) and ? ⊆ R! be the span of ?1 =(1,1,-2,0), ?2
=(3,1,2,-2). Prove that V=W.
Let A be a 2x2 matrix
6 -3
-4 2
first, find all vectors V so...
Let A be a 2x2 matrix
6 -3
-4 2
first, find all vectors V so the distance between AV and the
unit basis vector e_1 is minimized, call this set of all vectors
L.
Second, find the unique vector V0 in L such that V0 is
orthogonal to the kernel of A.
Question: What is the x-coordinate of the vector V0 equal to.
?/?
(the answer is a fraction which the sum of numerator and
denominator is 71)