Proving something to be a basis.

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Homework Help Overview

The discussion revolves around proving that a set of vectors forms a basis for a vector space. The original poster presents vectors u, v, and w and seeks to demonstrate that any general vector can be expressed as a linear combination of these vectors without resorting to complex methods like augmented matrices. The conversation also touches on the implications of linear independence and the span of vectors, as well as a related question about polynomials and their ability to form a basis in a polynomial vector space.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the concept of expressing canonical basis vectors as linear combinations of the given vectors. There is discussion on the relationship between linear independence and determinants, and whether the original poster intends to express an arbitrary vector explicitly. Questions arise about the implications of having linearly independent vectors and the dimension of their span. Additionally, there is a consideration of the conditions under which a set of polynomials can form a basis for a polynomial vector space.

Discussion Status

Some participants have provided guidance on exploring linear independence and the implications for the span of the vectors. The original poster has indicated progress in understanding linear independence but still seeks clarity on the span. Multiple interpretations of the polynomial basis question are being explored, with participants questioning the feasibility of expressing higher-degree polynomials as combinations of lower-degree ones.

Contextual Notes

There are constraints regarding the methods allowed for proving linear combinations, as the original poster wishes to avoid complex calculations. Additionally, the discussion includes assumptions about the degrees of polynomials and their implications for forming a basis in the polynomial vector space P3(R).

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Homework Statement



Letting u=[3, 0, -5], v=[2, 1, 5] and w=[-1, 3, 4], how would I show that a general vector can be written as a linear combination of this 'basis?' Without using an augmented matrix and getting a really messy result by using arbitrary a, b, and c values as the solutions?

Homework Equations





The Attempt at a Solution

 
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Can you show that the three elements of the canonical basis, namely [1, 0, 0], [0, 1, 0], and [0, 0, 1], can be written as linear combinations of the given vectors? If so, can you see how that helps?
 
dylanhouse said:

Homework Statement



Letting u=[3, 0, -5], v=[2, 1, 5] and w=[-1, 3, 4], how would I show that a general vector can be written as a linear combination of this 'basis?' Without using an augmented matrix and getting a really messy result by using arbitrary a, b, and c values as the solutions?

Homework Equations





The Attempt at a Solution


So much depends on what you know and are allowed to use. For example, do you know the connection between linear independence and determinants? If so, you can use that.

Otherwise, you can try to show directly that u, v and w are linearly independent, so form a basis; then you can quote a theorem to finish the problem. Or, do you really want to express an arbitrary vector x = [x1,x2,x3] as an explicit linear combination of u, v and w? The problem statement seemed to say otherwise, but only you know for sure.
 
I have shown that they are linearly independent. But I also need to show that the Span(s)=V.
 
If you have three linearly independent vectors, what can you say about the dimension of their span?
 
I figured it out :) I was also wondering if I am given four polynomials, of which the highest degree is x^2, they cannot be a basis for the vector space P3(R)?
 
What is P3(R)? The space of polynomials with degree <= 3? If so, consider whether it's possible to write ##x^3## as a linear combination of the four given polynomials.
 
Well, it wouldn't be possible unless my scalar was the variable x, and not a real number.
 
Can you prove why it wouldn't be possible?
 
  • #10
Well, I converted the polynomials to a matrix, and tried to put it into RREF to prove they were linearly independent. But the first column is all 0's, so it was pointless to go any further as they were obviously linearly dependent and thus not a basis I assumed.
 
  • #11
OK, that's reasonable but you can also make an argument without even knowing anything about the four polynomials ##p_1(x),\ldots,p_4(x)## except that none of their degrees are higher than 2.

Then suppose ##x^3## can be written as a linear combination of those four polynomials. We would then have
$$x^3 + \sum_{n=1}^{4}a_n p_n(x) = 0$$
for some scalars ##a_1,\ldots,a_4##. But ##x^3 + \sum_{n=1}^{4}a_n p_n(x)## is a polynomial of degree 3 (why?), so it cannot equal the zero polynomial (why?)
 

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