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Please PROVIDE EXPLANATIONS 1. Consider two square matrices A;B. Show the follow

ID: 2983781 • Letter: P

Question

Please PROVIDE EXPLANATIONS

1. Consider two square matrices A;B. Show the following:

rank(AB) <= rank(A)

rank(AB) <= rank(B)

HINT: consider the rowspace and columnspace of AB


2.Consider matrices, A belongs to R^(3*2)

of the following form:

A =

a b

b c

d a


(a) Determine a basis for for R^(3*2)

.

(b) Show that all matrices of the form above are a subspace of R^(3*2)

.

(c) Determine a basis for this subspace.

(d) What is the dimension of this subspace?


3.Consider polynomials in P2, i.e. polynomials of degree less than or equal to 2.

(a) Express v(t) as a linear combination of pi(t); i = 1;2;3, where

v(t) = 3t^2 + 5t- 5

p1(t) = t^2 + 2t + 1

p2(t) = 2t^2 + 5t + 4

p3(t) = t^2 + 3t + 6

(b) Do the pi(t) form a basis for P2? Provide a counter-example or prove.


4. Consider polynomials in P, i.e. polynomials of nite degree. Determine whether the subsets, W

dened below are subspaces of P.

(a) W consists of all polynomials with integer coecients.

(b) W consists of all polynomials with degree >= 6 and the zero polynomial.

(c) W consists of all polynomials with even degree .e.g t^2; t^32; t^100 etc.


5. Determine whether the two vector space elements below are linearly independent.

(a) u(t) = 2t^2 + 4t- 3, v(t) = 4t^2 + 8t - 6

(b) u(t) = 2t^2 -3t + 4, v(t) = 4t^2 -3t + 2

(c)

U =

1 1 1

2 2 2

V =

2 2 2

3 3 3

6. Secret Messages

You are endeavoring to design a secret communication system. You have your desired receiver,

but there is also an eavesdropper. For any message you send, m,we have the following received

signals:

r = Hm desired receiver

Explanation / Answer

1)Looking at how matrix multiplication is defined, each column of AB is a linear combination of the rows of A, and each row of AB is a linear combination of the columns of B. Thus the colspace of AB has dimension <= rank A, and the rowspace of AB has dimension <= rank B. Putting these together proves that rank (AB) =< min {rank (A), rank (b)}, since rank(AB) = dim(colspace(AB)) = dim(rowspace(AB)).