Vector Sets being Linearly Dependent

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SUMMARY

A set of vectors {v1, v2, ..., vk} is defined as linearly dependent if there exist scalars c1, c2, ..., ck that are not all zero, satisfying the equation c1v1 + c2v2 + ... + ckvk = 0. This definition confirms that at least one scalar can be zero, but not all can be zero for the vectors to be considered dependent. The clarification provided in the discussion emphasizes the importance of understanding the conditions under which linear dependence occurs.

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  • Understanding of vector spaces and their properties
  • Familiarity with linear algebra concepts
  • Knowledge of scalar multiplication and vector addition
  • Basic grasp of mathematical notation and terminology
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  • Study the implications of linear dependence in vector spaces
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gpax42
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I have a quick regarding a definition for linear dependence that my professor gave in class...

A set of vectors {v[tex]_{1}[/tex],v[tex]_{2}[/tex],...v[tex]_{k}[/tex]}, are considered linearly dependent provided there are scalars c[tex]_{1}[/tex],c[tex]_{2}[/tex],...c[tex]_{k}[/tex] that are not all zero, such that c[tex]_{1}[/tex]v[tex]_{1}[/tex] + c[tex]_{2}[/tex]v[tex]_{2}[/tex] + ... c[tex]_{k}[/tex]v[tex]_{k}[/tex] = 0


does this mean that none of the scalars can be zero, or that some can be zero but not all?

regard the superscripts as subscripts, my tags aren't working for some reason...thanks for any help you can offer me :smile:
 
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Just as they said, some can be zero, but not all.
 
thanks :biggrin:
 

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