Difference between a spanning and linear combination?

In summary, the span of a set of vectors is the set of all possible linear combinations of those vectors, while a linear combination of a set of vectors is a single sum of scalars times vectors in the set.
  • #1
ichigo444
12
0
what is the difference of a span of a vector and a linear combination of a vector?
 
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  • #2
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.
 
  • #3
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.
 
  • #4
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.
 
  • #5
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?
 
  • #6
Suppose that for each i=1,...,k,

[tex]u_i = \sum_{j=1}^nc_i^jv_j[/tex]

Then, for an arbitrary linear combination of the u_i,

[tex]\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[/tex]

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

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

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

On the other hand, if for instance, u_i cannot be written as a linear combination of the v_j's, then [itex]\mathrm{span}(v_1,\ldots,v_n)\neq \mathrm{span}(u_1,\ldots,u_k)[/itex] since [itex]u_i\in \mathrm{span}(u_1,\ldots,u_k)[/itex] but [itex]u_i \notin\mathrm{span}(v_1,\ldots,v_n)[/itex].
 
  • #7
thanksssssssssss, i can see it now
 
  • #8
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.
 

FAQ: Difference between a spanning and linear combination?

What is the difference between a spanning and linear combination?

A spanning and linear combination are both mathematical concepts used to describe relationships between vectors. However, there are some key differences between the two. A spanning is a set of vectors that can be used to create any other vector in a vector space, whereas a linear combination is a specific combination of vectors with defined coefficients. In other words, a spanning is a collection of vectors that can be used to reach any point in a vector space, while a linear combination is a specific point in that space reached by a particular set of vectors.

How are spanning and linear combinations related?

A linear combination is a specific type of spanning. In other words, any linear combination is a spanning, but not all spanning are linear combinations. This is because a spanning can include an infinite number of vectors, while a linear combination is a specific combination of a finite number of vectors.

Can a linear combination also be a spanning?

Yes, a linear combination can also be a spanning. This is because a linear combination is a specific type of spanning, where the set of vectors used can reach any point in a vector space. However, not all spanning are linear combinations, as a spanning can include an infinite number of vectors, while a linear combination is a specific combination of a finite number of vectors.

How do you determine if a set of vectors is a spanning or a linear combination?

To determine if a set of vectors is a spanning, you need to check if it can reach any point in a vector space. In other words, every vector in that space can be reached by a linear combination of the spanning vectors. To determine if a set of vectors is a linear combination, you need to check if it can be written as a combination of a finite number of vectors with defined coefficients. If it can, then it is a linear combination.

What are some real-world applications of spanning and linear combinations?

Spanning and linear combinations have many real-world applications, particularly in fields such as physics and engineering. In physics, spanning is used to describe the motion of objects in space, while linear combinations are used to calculate forces and energy. In engineering, spanning and linear combinations are used to design structures and predict their behavior under different conditions. Additionally, these concepts are also used in computer graphics and data analysis to model and manipulate complex data sets.

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