Solving a Basis Problem in R^2

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The discussion focuses on the concept of a basis in R², specifically using the vectors (1,1) and (1,-1). It explains that a basis must be linearly independent and allow any vector in R² to be expressed as a linear combination of its vectors. The manipulation of the equations shows that for any vector (x,y), the coefficients a1 and b1 can be uniquely determined as a1 = 1/2(x + y) and b1 = 1/2(x - y). This confirms that the vectors span R² and are independent, fulfilling the criteria for being a basis. Understanding these properties is essential for grasping the fundamentals of linear algebra.
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Hey, I've done this problem but i don't know what it all means? What does it mean to form a basis?:confused:

Problem: show that the vectors (1,1) , (1, -1) form a basis for R^2

(x,y) = a1(1, 1) + b1(1, -1)
x = a1 + b1 => a1 = x - b1
y= a1- b1 => b1 = a1-y

a1 = x - a1 + y
2a1 = x + y
a1 = 1/2(x + y) <----- What does this represent?

b1 = (x-b1)-y
2b1 = x - y
b1 = 1/2(x-y) <----- What does this represent?
 
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Do you know the defintion of basis/bases and span? Do you know what scalar/magnitude are?
 
Ok. A "basis for R²" is a set B of vectors of R² that...

(1) ...are linearly independant and...

(2) ...such that any vector (x,y) of R² can be expressed as a linear combination of the vectors of the set B. (A set of vector that have property (2) is said to span R².)

It can be shown that any set of n vectors which span R^n are automatically linearly independant. So you only have to verify property (2) since it implies (1).

What you've done (without realizing it, perhaps), is you've said, if {(1,1), (1,-1)} spans R², then it must be that for any vector (x,y) of R², we can write it as a linear combination of (1,1) and (1,-1). In other words, there exists two constants a1 and b1 such that (x,y)=a1(1,1)+b1(1,-1). You've then manipulated this expression to express a1 and b1 in terms of x and y. By doing this, you proved that indeed, given a vector (x,y), there are constants a1 and b1 such that (x,y)=a1(1,1)+b1(1,-1) and they are given by a1 = (x + y)/2, b1 = (x-y)/2.

It takes practice and perseverance to integrate all the subtleties of mathematical proofs, but I hope my explanation was helpful.
 
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quasar987 said:
It can be shown that any set of n vectors which span R^n are automatically linearly independant. So you only have to verify property (2) since it implies (1).
This is actually an if and only if as the converse holds as well. ie: any set of n vectors in R^n which is linearly independent spans R^n.

So as an alternative to what quasar suggested, you could just show that (1, 1), (1, -1) are linearly independent which amounts to showing that one is not a scalar multiple of the other since there are only two vectors.
 
Another way of looking at "basis" is that any vector can be written as a linear combination of the basis vectors in a unique way.

The fact that any vector can be written as a linear combination of the basis vectors is due to their spanning[/b] the space. The fact that that linear combination is unique is due to their being independent.

a1 = 1/2(x + y) <----- What does this represent?
b1 = 1/2(x-y) <----- What does this represent?
You started by asserting that an arbitrary vector, (x, y), could be written as a linear combination of the vectors (1, 1) and (1, -1):
(x,y)= a1(1, 1)+ b1(1,-1) for some real numbers a1 and b1. You have succeeded in showing how to calculate those numbers thus showing
(1) that the numbers exist, that (x,y) can be written as such a linear combination.
(2) that the numbers are unique, since the formulas you show are functions and have only one result, thus showing that the linear combination is unique.
 
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