Linear Algebra, spanned by vectors

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SUMMARY

The discussion centers on the concept of vector spaces in linear algebra, specifically addressing the subspace of R^3 spanned by all vectors with positive components. It concludes that despite the restriction to positive components, the linear combinations of these vectors can include negative coefficients, thus allowing for the entire R^3 space to be represented. This highlights the importance of understanding linear combinations and their implications in vector spaces.

PREREQUISITES
  • Understanding of vector spaces in linear algebra
  • Familiarity with linear combinations and coefficients
  • Knowledge of R^3 and its geometric interpretation
  • Basic concepts of positive and negative components in vectors
NEXT STEPS
  • Study the concept of linear combinations in depth
  • Explore the geometric interpretation of vector spaces in R^3
  • Learn about spanning sets and their properties
  • Investigate the implications of coefficients in vector representation
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators seeking to clarify concepts related to vector spaces and their properties.

rocomath
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How is this "All of R^3"

Describe the subspace of R^3 spanned by: all vectors with positive components.

Answer is, All of R^3. I don't get how it's all of R^3 though because if the components are all positive, it's only spanning in the positive direction? What about the negative portion? That is excluded, so it's not all of R^3.
 
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That may be so, but the linear coefficients of the positive vectors may be negative.
 
Defennder said:
That may be so, but the linear coefficients of the positive vectors may be negative.
Ah, I c! Thanks.
 

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