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Q: Linear Algebra questions VECTOR SPACES ( Answered 5 out of 5 stars,   0 Comments )
Question  
Subject: Linear Algebra questions VECTOR SPACES
Category: Science > Math
Asked by: sarah2728-ga
List Price: $35.00
Posted: 04 Apr 2005 01:30 PDT
Expires: 04 May 2005 01:30 PDT
Question ID: 504611
1) Let W be the set of all n X n real matrices of rank 1. Is W a subspace
of Mn,n? Please justify your answer.

2) Determine whether the set of all positive real numbers together
with the operations of addition and scalar multiplication, is a vertor
space. Let x and y be real numbers. Let c be a real number too.
Addition: x + y = xy, and scalar multiplication: c * x = x^c

3) Suppose that the n vectors v1, v2, ... , vn are linearly
independent. Show that any collection of n-1 of them are also linearly
independent. Hint: for simplicity, show that the n-1 vectors v1, v2,
... , vn-1 are linearly independent.

Thanks, please get back to me with a response ASAP (before 8:00 am). Thanks again

Clarification of Question by sarah2728-ga on 04 Apr 2005 01:34 PDT
I am doing this to assist me with understanding all the material. for
me, it is not a substitute.
Answer  
Subject: Re: Linear Algebra questions VECTOR SPACES
Answered By: livioflores-ga on 04 Apr 2005 03:28 PDT
Rated:5 out of 5 stars
 
Hi sarah2728!!


1) Let W be the set of all n X n real matrices of rank 1. Is W a subspace
of Mn,n? Please justify your answer.

The answer is NO, and there are many reasons that justified this
answer, one of the strongest and simpliest is that the not a subspace
of W because it does not contain the neutral element of W (the zero
matrix is not of rank 1).
This subset is not closed under addition, see for example:
| 1  0 |   | 0  0 |   | 1   0 |
|      | + |      | = |       |
| 0  0 |   | 0  1 |   | 0   1 |


               -----------------------------

2) Determine whether the set of all positive real numbers together
with the operations of addition and scalar multiplication, is a vector
space. Let x and y be real numbers. Let c be a real number too.
Addition: x + y = xy, and scalar multiplication: c * x = x^c

Let see if all of the definition axioms are satisfied:

A- V is closed under vector addition: x + y ? R+.
x + y = xy ? R+ ---> ok

B- Vector addition is associative: u + (v + w) = (u + v) + w.
u + (v + w) = u + vw = uvw = uv + w = (u + v) + w ---> ok

C- There exists a neutral element 0 in R+, such that for all x in R+:
 0 + x = x.
The number 1 satisfies 1x = x for all x in R+, then for all x in R+:
1 + x = 1x = x , then 1 is the neutral element  ---> ok

D- For all v in R+, there exists an element w in R+, such that v + w = 0
If 0 = v + w ==> vw = 1 ==> w = 1/v (remember that the zero number is
not part of the set of all real positive numbers R+) ---> ok.

E- Vector addition is commutative: v + w = w + v.
v + w = vw = wv = w + v ---> ok.

F- V is closed under scalar multiplication: c*x ? R+.
c*x = x^c ? R+  ---> ok.

G- Scalar multiplication is associative: a*(b*v) = (ab)*v.
a*(b*v) = a*(v^b) = (v^b)^a = v^(ba) = (ba)*v = (ab)*v ---> ok.

H- 1*v = v, where 1 denotes the multiplicative identity in R (the number one).
1*v = v^1 = v ---> ok.

I- Scalar multiplication distributes over vector addition: 
a*(v + w) = a*v + a*w .
a*(v + w) = (v + w)^a = (vw)^a = (v^a)(w^a) = a*v + a*w  ---> ok.

J- Scalar multiplication distributes over scalar addition: 
(a + b)*v = a*v + b*v.
(a + b)*v = v^(a + b) = (v^a)(v^b) = (v^a) + (v^b) = a*v + b*v ---> ok.


The set of all positive real numbers together with the following
operations of addition and scalar multiplication:
Let x and y be real numbers. Let c be a real number too.
Addition: x + y = xy, and scalar multiplication: c * x = x^c
is a vector space.

                -----------------------

3) Suppose that the n vectors v1, v2, ... , vn are linearly
independent. Show that any collection of n-1 of them are also linearly
independent. Hint: for simplicity, show that the n-1 vectors v1, v2,
... , vn-1 are linearly independent.

Supose that the n-1 vectors V1, V2, ... , Vn-1 are linearly dependent:
The above means that:
c1V1 + c2V2 + ... + c(n-1)V(n-1) = 0, where not all c1, c2, ...,
c(n-1) are zero, then we can write:
0 = c1V1 + c2V2 + ... + c(n-1)V(n-1) + 0Vn , where not all c1, c2,
..., c(n-1) are zero, this contradicts the assumtion that the n
vectors v1, v2, ... , vn are linearly independent. Then c1V1 + c2V2 +
... + c(n-1)V(n-1) = 0 is satisfied only if all c1, c2, ..., c(n-1)
are zero, that is only if all the vectors are linear independent.

--------------------------------------------------------

I hope that this helps you. Feel free to request for a clarification
if you need it.

Regards.
livioflores-ga

Request for Answer Clarification by sarah2728-ga on 04 Apr 2005 03:50 PDT
Thanks again. out of curiousity are you a college student, or someone
with bunch of experience w/linear algebra? You did an excellent job.

Request for Answer Clarification by sarah2728-ga on 04 Apr 2005 03:56 PDT
What is R+ stand for in the second answer?

Request for Answer Clarification by sarah2728-ga on 04 Apr 2005 04:07 PDT
Disregard that last question about R+ :)

Clarification of Answer by livioflores-ga on 04 Apr 2005 08:02 PDT
Thank you for the good rating and comments. I adquired some math
skills in college a long time ago, I love it.
Regarding to R+ it represent the set of the positive real numbers,
note (now you can did the exercise for yourself that the complete set
of the real numbers does not satisfies all the axioms, see what
happens with the zero number in the axiom D-.

Best regards.
livioflores-ga
sarah2728-ga rated this answer:5 out of 5 stars
Great job! Thanks for the quick reply too. I have a much better understanding now.

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