Proving the Basis Property for a Set in a Vector Space with a Nonzero Scalar

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SUMMARY

The discussion focuses on proving that if a set S = {v1, v2, ..., vn} is a basis for a vector space V, then the set S1 = {cv1, cv2, ..., cvn}, where c is a nonzero real scalar, is also a basis for V. The proof requires demonstrating that S1 is linearly independent and spans the same vector space V. Since scalar multiplication by a nonzero constant does not affect the linear independence of the vectors, S1 retains the properties of a basis.

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Homework Statement


Let c be a real scalar not equal to zero. Prove that if a set S ={v1, v2, ... , vn} is a basis for V, then set S1= {cv1, cv2, ... , cvn} is also a basis of V.


Homework Equations



A set is a basis if it spans a subspace and is not collinear.

The Attempt at a Solution



S1= {cv1, cv2, ... , cvn} = c * {v1, v2, ... , vn}

Since scalar c modifies all vectors equally, the set S1 is a basis for vector space V.
 
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You have to prove:

a) It's linearly independent:
If S spans, that means ...
None of the vectors in S are a linear combination of another.
How can you prove this?
Think ..
av1 + bv2 + cv3 .. + Lvn = 0, implies a,b,c .. L = 0.
b): It spans.
If S spans V, that means that any vector of V can be represented by a linear combination of S.
How can you prove that cS also follows this?

The proof for b is similar to a ..
 

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