Let #vec(v_1) = [( 2),(3)]# and #vec(v_1) = [( 4),(6)]# what is the **span** of the vector space defined by #vec(v_1) and vec(v_1)#? Explain your answer in detail?

Answer 1

#"span"({vecv_1,vecv_2}) = {lambdavecv_1|lambdainF}#

Typically we talk about the span of a set of vectors, rather than of an entire vector space. We will proceed, then, in examining the span of #{vecv_1,vecv_2}# within a given vector space.
The span of a set of vectors in a vector space is the set of all finite linear combinations of those vectors. That is, given a subset #S# of a vector space over a field #F#, we have #"span"(S)={sum_(i=1)^klambda_ks_k|ninNN,s_iinS,lambda_iinF}#
(the set of any finite sum with each term being the product of a scalar and an element of #S#)
For simplicity, we will assume that our given vector space is over some subfield #F# of #CC#. Then, applying the above definition:
#"span"({vecv_1,vecv_2}) = {sum_(i=1)^2lambda_iv_i|lambda_iinF}#
#= {lambda_1vecv_1+lambda_2vecv_2|lambda_1,lambda_2inF}#
But note that #vecv_2 = 2vecv_1#, and so, for any #lambda_1,lambda_2inF#,
#lambda_1vecv_1+lambda_2vecv_2=lambda_1vecv_1+lambda_2(2vecv_1)=(lambda_1+2lambda_2)vecv_1#
Then, as any linear combination of #vecv_1# and #vecv_2# can be expressed as a scalar multiple of #vecv_1#, and any scalar multiple of #vecv_1# can be expressed as a linear combination of #vecv_1# and #vecv_2# by setting #lambda_2=0#, we have
#"span"({vecv_1,vecv_2}) = {lambdavecv_1|lambdainF}#
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Answer 2

The span of the vector space defined by vec(v_1) and vec(v_2) is the set of all possible linear combinations of these vectors. In this case, since vec(v_1) = [2, 3] and vec(v_2) = [4, 6], any vector that can be obtained by multiplying vec(v_1) and vec(v_2) by scalar values and adding them together will be in the span of the vector space.

To find the span, we need to determine all possible linear combinations of vec(v_1) and vec(v_2). Since vec(v_2) = 2 * vec(v_1), vec(v_2) is a scalar multiple of vec(v_1). Therefore, the span of the vector space defined by vec(v_1) and vec(v_2) is the set of all possible scalar multiples of vec(v_1), which forms a line passing through the origin and vec(v_1).

In summary, the span of the vector space defined by vec(v_1) and vec(v_2) is a line passing through the origin and vec(v_1), since vec(v_2) is a scalar multiple of vec(v_1).

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Answer from HIX Tutor

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

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