For which real numbers co, c 0 , c 1 , ... , c n is the linear transformation T ( f ( t ) ) = [ f ( c 0 ) f ( c 1 ) ⋮ f ( c n ) ] an isomorphism from P n to ℝ n + 1 ?
For which real numbers co, c 0 , c 1 , ... , c n is the linear transformation T ( f ( t ) ) = [ f ( c 0 ) f ( c 1 ) ⋮ f ( c n ) ] an isomorphism from P n to ℝ n + 1 ?
Solution Summary: The author explains that a function T from V to W is said to be linear transformation if, T(f+g)=T
For which real numbers co,
c
0
,
c
1
,
...
,
c
n
is the linear transformation
T
(
f
(
t
)
)
=
[
f
(
c
0
)
f
(
c
1
)
⋮
f
(
c
n
)
]
an isomorphism from
P
n
to
ℝ
n
+
1
?
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
Linear Algebra With Applications (classic Version)
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