Difference between a spanning and linear combination?

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A linear combination of a set of vectors is a specific vector formed by multiplying each vector by a scalar and summing the results. In contrast, the span of those vectors encompasses all possible linear combinations, representing a set of vectors. To determine if the spans of two sets of vectors are equal, one must verify that each vector in one span can be expressed as a linear combination of the vectors in the other span. If this condition holds true in both directions, the spans are equal; otherwise, they are not. Understanding these distinctions is crucial for grasping vector space concepts in linear algebra.
ichigo444
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what is the difference of a span of a vector and a linear combination of a vector?
 
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Given a set of vectors v_1,...,v_n, a linear combination of those vectors is a vector of the form a_1v_1+...+a_nv_n, for a_1,...,a_n some scalars. The span of the vectors v_1,...,v_n is the set of all the linear combinations of those vectors. I.e., it is the set whose elements are the vectors of the form a_1v_1+...+a_nv_n for all possible values of the coefficients a_1,...,a_n.
 
hmm, sorry for interrupting, but how to know when the span of some vector are equal?
ie: The span of the vectors v_1,...,v_n = The span of the vectors u_1,...,u_k.
 
One way to do it would be to check that every vector u_i is itself a linear combination of the v_j, and conversely, that every vector v_j can be written as a linear combination of the u_i.

If this is so, then span(u_1,...,u_k)=span(v_1,...,v_n). If not, then the spans are not equal.

Make sure you see why.
 
quasar987 said:
Make sure you see why.

i can't clearly see it, every element in span(u_1,...,u_k) is then the element of span(v_1,...,v_n), and conversely,

then span(u_1,...,u_k) is subset of span(v_1,...,v_n), and conversely

is that really correct?
 
Suppose that for each i=1,...,k,

u_i = \sum_{j=1}^nc_i^jv_j

Then, for an arbitrary linear combination of the u_i,

\sum_{i=1}^ka^iu_i=\sum_{i=1}^ka^i\left(\sum_{j=1}^nc_i^jv_j\right)=\sum_{j=1}^n\left(\sum_{i=1}^ka^ic_i^j\right)v_j

(a linear combination of the v_j !) This shows that \mathrm{span}(u_1,\ldots,u_k)\subset \mathrm{span}(v_1,\ldots,v_n).

And in the same way, if each v_j can be written as a linear combination of the u_i, we obtain \mathrm{span}(v_1,\ldots,v_n)\subset \mathrm{span}(u_1,\ldots,u_k).

And so in that case, \mathrm{span}(v_1,\ldots,v_n)= \mathrm{span}(u_1,\ldots,u_k).

On the other hand, if for instance, u_i cannot be written as a linear combination of the v_j's, then \mathrm{span}(v_1,\ldots,v_n)\neq \mathrm{span}(u_1,\ldots,u_k) since u_i\in \mathrm{span}(u_1,\ldots,u_k) but u_i \notin\mathrm{span}(v_1,\ldots,v_n).
 
thanksssssssssss, i can see it now
 
ichigo444 said:
what is the difference of a span of a vector and a linear combination of a vector?
And please note that these are the span of a set of vectors and the linear combination of a set of vectors. Typically the set contains more than just one vector!

A linear combination is single sum of scalars times vectors in the set. The span is the collection of all possible linear combinations of the set.
 

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