Linear Algebra when to write matrix as a col. vector vs a row vector

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SUMMARY

In linear algebra, vectors are represented as column vectors when determining the kernel of a linear transformation (Ker(T)). This convention is essential for maintaining consistency in matrix operations and understanding linear transformations. For linear transformations and basis representation, the choice between row and column vectors depends on the context and the specific mathematical operations being performed. Understanding these conventions enhances comprehension of vector spaces and their applications in linear algebra.

PREREQUISITES
  • Understanding of linear transformations
  • Familiarity with vector spaces
  • Knowledge of kernel and image of a linear transformation
  • Basic matrix operations
NEXT STEPS
  • Study the concept of kernel in linear algebra
  • Learn about the properties of linear transformations
  • Explore the role of basis in vector spaces
  • Investigate the differences between row and column vector representations
USEFUL FOR

Students studying linear algebra, educators teaching vector spaces, and anyone seeking to deepen their understanding of matrix representations in mathematical contexts.

bchapa26
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1. My question is a general question that I need the answer to so that I can fully understand the homework I am doing. When do I write given vectors as columns of a matrix, and when do I write them as rows of a matrix? More specifically, how do I write the vectors when finding:

1) Ker(T)
2) Linear Transformations
3) Basis

And rather than memorizing, is there a way to logically understand why I am writing the vectors as such? I'm sorry if this is vague, I am just trying to understand this material better. Thank you!
 
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For finding the kernel you make the vectors into columns. Not sure about the others.
 

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