Showing Linear Dependence In Exercises 53-56, show that the set is linearly dependent by finding a nontrivial linear combination vectors in the set whose sum is the zero vector. Then express one of the vectors in the set as a linear combinations of the other vectors in the set. S = { ( 3 , 4 ) , ( − 1 , 1 ) , ( 2 , 0 ) }
Showing Linear Dependence In Exercises 53-56, show that the set is linearly dependent by finding a nontrivial linear combination vectors in the set whose sum is the zero vector. Then express one of the vectors in the set as a linear combinations of the other vectors in the set. S = { ( 3 , 4 ) , ( − 1 , 1 ) , ( 2 , 0 ) }
Solution Summary: The author explains that a set of vectors S = leftv_1, '72 (2,0)' is linearly dependent and express
Showing Linear Dependence In Exercises 53-56, show that the set is linearly dependent by finding a nontrivial linear combination vectors in the set whose sum is the zero vector. Then express one of the vectors in the set as a linear combinations of the other vectors in the set.
S
=
{
(
3
,
4
)
,
(
−
1
,
1
)
,
(
2
,
0
)
}
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
Let
2
A =
4
3
-4
0
1
(a) Show that v =
eigenvalue.
()
is an eigenvector of A and find the corresponding
(b) Find the characteristic polynomial of A and factorise it. Hint: the answer to (a)
may be useful.
(c) Determine all eigenvalues of A and find bases for the corresponding eigenspaces.
(d) Find an invertible matrix P and a diagonal matrix D such that P-¹AP = D.
(c) Let
6
0 0
A =
-10 4 8
5 1 2
(i) Find the characteristic polynomial of A and factorise it.
(ii) Determine all eigenvalues of A and find bases for the corresponding
eigenspaces.
(iii) Is A diagonalisable? Give reasons for your answer.
most 2, and let
Let P2 denote the vector space of polynomials of degree at
D: P2➡ P2
be the transformation that sends a polynomial p(t) = at² + bt+c in P2 to its derivative
p'(t)
2at+b, that is,
D(p) = p'.
(a) Prove that D is a linear transformation.
(b) Find a basis for the kernel ker(D) of the linear transformation D and compute its
nullity.
(c) Find a basis for the image im(D) of the linear transformation D and compute its
rank.
(d) Verify that the Rank-Nullity Theorem holds for the linear transformation D.
(e) Find the matrix representation of D in the standard basis (1,t, t2) of P2.
Chapter 4 Solutions
Bundle: Elementary Linear Algebra, Loose-leaf Version, 8th + WebAssign Printed Access Card for Larson's Elementary Linear Algebra, 8th Edition, Single-Term
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