Recent content by Sasor

  1. S

    What is the Significance of Subspaces in Linear Algebra?

    But what is the importance of containing the origin? Like, what application would having a subspace be good for? Also, what is a basis for it and how is that used in such an interpretation?
  2. S

    What is the Significance of Subspaces in Linear Algebra?

    Ok, so I understand that a vector space is basically the span of a set of vectors (i.e.) all the possible linear combination vectors of the set of vectors... I don't understand the concept behind a subspace or why it's useful. I know the conditions are: 1. 0 vector must exist in the set...
  3. S

    Is a set with a 0 vector linearly independent?

    I don't know how to write out matrices nicely on this forum, but suppose you have some matrices:[1 0 3] [2 0 4] [0 0 5] This would, by definition, be linearly dependent, spanning a plane in r3..is this correct? Since c1=0, c2=anything, c3=0 where c1v1+c2v2+c3v3=0 With this: [1 0 3 5] [3 0...
  4. S

    Linear Algebra- Onto and One to One Linear Transformations

    oh wait, nevermind...domain is in r2...but either way... it wouldn't be onto because you're still only spanning a plane in r3 but if you look at the transformation, matrix, it's linearly independent
  5. S

    Linear Algebra- Onto and One to One Linear Transformations

    well the domain of the matrix is indeed in R3... [3 0] [1 4] [1 0]
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    Linear Algebra- Onto and One to One Linear Transformations

    Well about that 1-1 but not onto thing, I just did an example- If you want to transform [x1] [x2] -> [3*x1] [x1+4*x2] [x1+5]You'd get a transformation matrix [3 0] ... ...[0] [1 4] *[x1] +[0] [1 0] *[x2] [5] right? in this case, it'd be linearly independent...
  7. S

    Linear Algebra- Onto and One to One Linear Transformations

    Ok cool, and that alternative theorem is very convenient and it makes sense...thanks for the help!
  8. S

    Linear Algebra- Onto and One to One Linear Transformations

    Ok, well linear dependence in context of a matrix is just like linear dependence with a set of vectors... for example [1 4 8 3] [2 4 1 7] [3 2 6 7] If this^ matrix is linearly dependent, then it is equivalent to saying that these vectors: [1] [4] [8] [3] [2] [4] [1] [7] [3],[2],[6],[7] are...
  9. S

    Linear Algebra- Onto and One to One Linear Transformations

    A linearly dependent matrix is a matrix that is linearly dependent matrix...I don't know how I can really explain this...you understand what linear dependence means, right? Also, when I say spans the codomain, I mean that the b in T(x)=b could be any vector in the codomain...
  10. S

    Linear Algebra- Onto and One to One Linear Transformations

    What are you getting at? If I'm incorrect, then just tell me
  11. S

    Linear Algebra- Onto and One to One Linear Transformations

    Hey guys, I'm studying these concepts in linear algebra right now and I was wanting to confirm that my interpretation of it was correct. One to one in algebra means that for every y value, there is only 1 x value for that y value- as in- a function must pass the horizontal line test (Even...
  12. S

    How would you make this statement, AB=BA true

    Homework Statement If A is a matrix, find B, a matrix so that AB=BA Homework Equations ? The Attempt at a Solution Solve for inverse?
  13. S

    Solving 2 Spring Questions: Max Compression and Work Done

    Ok let me change things to be more readable
  14. S

    Solving 2 Spring Questions: Max Compression and Work Done

    Question 1: Homework Statement You have a spring at height d where it is relaxed. You drop a ball (mass m) from a height (h) so that it lands on the spring with spring constant k. What is the max compression of the spring in terms of given variables? Given- m g k d hHomework Equations Find...
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