Abstract Vector Basis: Necessary & Sufficient Condition for Plane Representation

AI Thread Summary
To express every vector in the plane as a linear combination of vectors u and v, a necessary and sufficient condition is that u and v must not be collinear, meaning they cannot be scalar multiples of each other. If either vector is the zero vector or if they are equal, they fail to span the plane. The equations x = a s1 + b t1 and y = a s2 + b t2 must be solvable for a and b in terms of x and y. The discussion emphasizes the importance of ensuring that u and v provide a basis for the plane. Understanding these conditions is crucial for solving related vector representation problems.
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Homework Statement


Suppose that ## u = s_1i + s_2j ## and ## v = t_1i + t_2j ##, where s1, s2, t1 and t2 are real
numbers. Find a necessary and sufficient condition on these real numbers
such that every vector in the plane of i and j can be expressed as a linear
combination of the vectors u and v.

Homework Equations



We shall need to consider directed line segments, and we denote the directed
line segment from the point a to the point b by [a, b]. Specifically, [a, b] is the
set of points {a + t(b − a) : 0 ≤ t ≤ 1},

The Attempt at a Solution


As attached.
 

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Phrase it this way: if ##\vec w = x \; \hat\imath + y \; \hat \jmath## then what do you have to do to write it as ## \vec w = a \; \vec u + b\; \vec v## ?
When can you do that and when can you not do that ?
 
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BvU said:
Phrase it this way: if ##\vec w = x \; \hat\imath + y \; \hat \jmath## then what do you have to do to write it as ## \vec w = a \; \vec u + b\; \vec v## ?
When can you do that and when can you not do that ?

## \vec u = s_1 \vec i+ s_2 \vec j ##

## \vec v = t_1 \vec i+ t_2 \vec j ##

## x = a s_1 + b t_1 ##

## y = a s_2 + b t_2 ##
 
PcumP_Ravenclaw said:
## \vec u = s_1 \vec i+ s_2 \vec j ##

## \vec v = t_1 \vec i+ t_2 \vec j ##

## x = a s_1 + b t_1 ##

## y = a s_2 + b t_2 ##
Is it always possible to solve for a and b? What if u or v is the zero vector? What if u and v are equal? What if u is a nonzero multiple of v?

You have a very simple space here -- the plane. The question boils down to this: what does it take for two vectors to span a plane?
 
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PcumP_Ravenclaw said:
## \vec u = s_1 \vec i+ s_2 \vec j ##

## \vec v = t_1 \vec i+ t_2 \vec j ##

## x = a s_1 + b t_1 ##

## y = a s_2 + b t_2 ##
So, try to solve for a and b and see what you get !
 
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I believe I have only found two/three cases that restrict the coefficients of u and v. I have attached my solution.
 

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Solving for a and b means you express the unknowns a and b in terms of the knowns, x, y, s1, s2, t1 and t2.
 
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