Linearly Independent Vectors: Deleting a Vector & Its Impact

In summary, linearly independent vectors are those that cannot be written as a linear combination of each other. To determine if a set of vectors is linearly independent, the only solution to the equation c1v1 + c2v2 + ... + cnvn = 0 must be c1 = c2 = ... = cn = 0. Removing a vector from a set of linearly independent vectors will not affect the linear independence of the remaining vectors, but it will decrease the span of the set. Deleting a vector from a set of vectors cannot change its linear dependence.
  • #1
Dustinsfl
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5
Let x1, x2,...,xk be linear independent vectors in a vector space V.

If we delete a vector, say xk, from the collection, will we still have a linearly independent collection of vectors? Explain.

By deleting a vector from linearly independent span, the other vectors will remain independent; however, I don't know how to prove it.
 
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  • #2
So delete one, say v_i. If the remaining vectors are linearly dependent, then there exist scalars for which the linear combination of the remaining vectors equals 0. What happens when you add 0*(v_i) to both sides?
 

1. What is the definition of linearly independent vectors?

Linearly independent vectors are a set of vectors that cannot be written as a linear combination of each other. In other words, no vector in the set can be created by multiplying another vector by a scalar and adding it to the other vectors in the set.

2. How do you determine if a set of vectors is linearly independent?

A set of vectors is linearly independent if and only if the only solution to the equation c1v1 + c2v2 + ... + cnvn = 0 is c1 = c2 = ... = cn = 0. In other words, the only way to get a linear combination of the vectors to equal zero is by multiplying each vector by a scalar of zero.

3. What happens to the linear independence of a set of vectors when one vector is deleted?

If a vector is deleted from a set of linearly independent vectors, the remaining vectors will still be linearly independent. This is because the linear independence of a set is not affected by the addition or removal of a scalar multiple of another vector.

4. How does deleting a vector affect the span of a set of vectors?

Deleting a vector from a set of vectors will decrease the span of the set. The span of a set of vectors is the set of all possible linear combinations of the vectors. When a vector is deleted, there are fewer vectors available to create linear combinations from, resulting in a smaller span.

5. Can a set of linearly dependent vectors become linearly independent by deleting a vector?

No, a set of linearly dependent vectors cannot become linearly independent by deleting a vector. The linear dependence of a set is a fundamental property and cannot be changed by deletion or addition of vectors.

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