Linear Algebra - Basis of column space

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SUMMARY

The discussion focuses on finding the basis of the column space and the rank of matrix A, defined as follows: A = [[1, -3, -1, 2], [0, 1, -4, 1], [1, -4, 5, 1], [2, -5, -6, 5]]. The user applied Gauss-Jordan elimination to reduce the matrix to row echelon form, identifying the linearly independent columns. The basis for the column space is derived from these independent columns, while the rank of matrix A is determined by the number of these independent columns. Understanding coordinate vectors in R^4 is crucial for solving these problems accurately.

PREREQUISITES
  • Gauss-Jordan elimination techniques
  • Understanding of linear independence and dependence
  • Knowledge of column space and row space concepts
  • Familiarity with coordinate vectors in R^4
NEXT STEPS
  • Study the concept of linear independence in depth
  • Learn how to calculate the rank of a matrix using different methods
  • Explore the relationship between column space and row space
  • Review coordinate vector definitions and their applications in linear algebra
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Students studying linear algebra, educators teaching matrix theory, and anyone seeking to understand the fundamentals of column and row spaces in matrix operations.

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Homework Statement


Let A be the matrix
A =
1 −3 −1 2
0 1 −4 1
1 −4 5 1
2 −5 −6 5

(a) Find basis of the column space. Find the coordinates of the dependent columns relative
to this basis.
(b) What is the rank of A?
(c) Use the calculations in part (a) to find a basis for the row space.


Homework Equations


---

The Attempt at a Solution



I used Gauss-Jordan operations on the matrix to solve it down to :

1 0 -13 5
0 1 -4 1
0 0 1 0
0 0 0 0

From here we can see which columns are linearly independent and which are dependent. But I don't understand what they want me to write for a solution for the coordinates.

Would they simply be:

(1,0,-13)
(0,1,-4)
(0,0,1)

??

b) Not sure exactly what this means even after researching, how do I determine the rank ?

c) I feel I can do after I complete a)

Thanks
 
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For part 1, by definition, ##Col(A) = span\{a_1, ... a_n\}## where ##a_1, ... a_n## are the linearly independent columns of ##A##.

The basis happens to be the set ##\{a_1, ... a_n\}## (without the "span" portion).

Also, do you know about coordinate vectors?
 
Your given matrix has 4 numbers in each column. That is each column is in R^4. So how can the span of {(1,0,-13), (0,1,-4), (0,0,1)} be subset of R^4?. You need to get your definitions done perfectly before you can solve these problems.
 

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