Understanding Linear Algebra: Dependent vs. Independent Vectors Explained

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Homework Help Overview

The discussion revolves around the concepts of linear dependence and independence in linear algebra, focusing on the definitions and implications of these terms as they relate to vectors.

Discussion Character

  • Conceptual clarification, Exploratory

Approaches and Questions Raised

  • Participants explore the definitions of linear dependence and independence, questioning the correctness of translations and interpretations. Some discuss the implications of these concepts in terms of dimensionality in space.

Discussion Status

Several participants have provided clarifications on the definitions of linear dependence and independence. There is an ongoing exploration of the physical meaning behind these concepts, with some questioning if there are alternative interpretations used by scientists.

Contextual Notes

One participant mentions being new to linear algebra, indicating a potential gap in foundational understanding. There is also a note about a post being in the wrong place, suggesting some confusion in the forum's structure.

dervast
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Hi i am new to linear algebra and i am not sure how i can translate some terms so i need some help with that
when we have vectorus u1,u2,.. un
and is k1*u1+k2*u2+...un*kn=0 then we say that these vectors are linear dependent or something like that
and if
k1*u1+k2*u2+...un*kn=0 and k1=0 and k2=0 and so on these vectores are linear independantly.
Do u know if my translation is correct?
 
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Posted in the wrong place, but oh well.

We say [tex]u_1...u_n[/tex] are linearly independent if [tex]\sum{k_iu_i}=0[/tex] implies that all the k's are zero. They're linearly dependent if there are scalar k's such that not all of them are zero, and the above holds
 
And what is the physical meaning of linearly dependence and independence? What do u understand when y hear someone saying that something is linearly independent or dependent?
 
A set of vectors are linearly independent if, for n linearly independent vectors, you can describe n dimensions of space. So basically, it means that each vector you add describes a new dimension of direction. So the first vector points in a line, the second one lies in a plane with the first, the third lies in a volume with the first two, etc. If the vectors were linearly independent, then perhaps the first lies in a line, the second lies in a plane, and then the third also lies in that plane. So you don't get one dimension/vector
 
Thx a lot for the answers.but have u ever heard of any scientist to be using linear independability in a different fashion that the one u have just described?
 

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