Let PN denote the vector space of all polynomials of
degree N or less, with real coefficients. Let the linear
transformation: T: P3 --> P1 be the second
derivative. Is T onto? Explain. Is T one-to-one? What is the Kernel
of T? Find the standard matrix A for the linear transformation T.
Let B= {x+1 , x-1 , x2+x , x3+x2 }
be a basis for P3 ; and
F={ x+2 , x-3 } be a basis for P1 ....
Let
V be the space of polynomials with real coefficients of degree at
most n, and let D be the differentiation operator. Find all
eigenvectors of D on V.
Problem 6. Let Pd (2, C) denote the vector space of
C-polynomials in two variables, of degree ≤ d.
Define a linear map S : P2(2, C) → P2(C) by S(p) := p(z, z)
(where z is a variable for the polynomials in P2(C)).
(a) Prove that S is surjective and that Skew2(2, C) ⊂
ker(S).
(b) Give an example of a polynomial in ker(S) \ Skew2(2, C).
Hence write down a basis for ker(S).
Let P2 be the vector space of all polynomials of
degree less than or equal to 2.
(i) Show that {x + 1, x2 + x, x − 1} is a basis for
P2.
(ii) Define a transformation L from P2 into
P2 by: L(f) = (xf)' . In other words,
L acts on the polynomial f(x) by first multiplying the function by
x, then differentiating. The result is another polynomial in
P2. Prove that L is a linear transformation....
Let V be the 3-dimensional vector space of all polynomials of
order less than or equal to 2 with real coefficients.
(a) Show that the function B: V ×V →R given by B(f,g) = f(−1)g(−1)
+ f(0)g(0) + f(1)g(1) is an inner product and write out its Gram
matrix with respect to the basis (1,t,t2).
DO NOT COPY YOUR SOLUTION FROM OTHER SOLUTIONS
3. We let ??(?) denote the set of all polynomials of degree at
most n with real coefficients.
Let ? = {? + ??3 |?, ? ??? ???? ???????}. Prove that T is a
vector space using standard addition and scalar multiplication of
polynomials in ?3(?).
Verify all axioms that show that the set of second degree
polynomials is a vector space. What is the Rank?
P2 = {p(x)P | p(x) = ax^2 + bx + c where a,b,c E
R}
1. Show that the set of all polynomials of deg=2 is not a vector
space over reals.
can this be fixed, can we have a set of polynomials that is a
vector space over reals?
2. Show that the set of 2x2 matrices with m_22 = 1 is not a
vector space over reals.
3. Show that the set of infinitely-differentiable real functions
is a a vector space under pointwise function addition, and
pointwise scalar multiplication as defined in class,...
Let V be the vector space of 2 × 2 real matrices and let P2 be
the vector space of polynomials of degree less than or equal to 2.
Write down a linear transformation T : V ? P2 with rank 2. You do
not need to prove that the function you write down is a linear
transformation, but you may want to check this yourself. You do,
however, need to prove that your transformation has rank 2.
Consider the vector space P2 of all polynomials of degree less
than or equal to 2 i.e. P = p(x) = ax + bx + c | a,b,c €.R
Determine whether each of the parts a) and b) defines a subspace in
P2 ? Explain your answer. a) ( 10 pts. ) p(0) + p(1) = 1 b) ( 10
pts.) p(1) = − p(−1)