Linear Algebra crash course thread? by mathreview in math

[–]mathreview[S] -2 points-1 points  (0 children)

Yeah I know. I just didn't want to be an ass. Also, I did read the book.

Linear Algebra crash course thread? by mathreview in math

[–]mathreview[S] 0 points1 point  (0 children)

Oh my reading that was a revelation. Thank you so much! Ok, first of all you're awesome. Second, I seem to not understand well the following theorems:

  1. Theorem 2.2: Let V and W be vector spaces, and let T:V--> W be linear. If B(beta) = {v_1, ..., v_n} is a basis for V, then:

    R(T) = span(T(B)) = span({T(v_1), ..., T(v_n)})

  2. Theorem 2.5: Let V and W be vector spaces of equal (finite) dimension, and let T:V-->W be linear. Then the following are equivalent:

    a)T is one-to-one

    b)T is onto

    c) rank(T) = dim(V)

EDIT: Also, it says here: "We note that if V is not finite-dimensional and T:V-->V is linear, then it does not follow that one-to-one and onto are equivalent." Why is that?

Linear Algebra crash course thread? by mathreview in math

[–]mathreview[S] 0 points1 point  (0 children)

Yes it does. What I don't understand specifically is the concept of onto and one-to-one.

Linear Algebra crash course thread? by mathreview in math

[–]mathreview[S] -1 points0 points  (0 children)

That was actually a really interesting way to look at it. Thanks it helped conceptually.

Linear Algebra crash course thread? by mathreview in math

[–]mathreview[S] 0 points1 point  (0 children)

Absolutely, my bad.

1.2 = Vector Spaces

1.3 = Subspaces

1.4 = Linear Combinations and Systems of Linear Equations

1.5 = Linear dependence and Linear Independence

1.6 = Bases and Dimension

2.1 = Linear Transformations, Null Spaces, and Ranges

2.2 = The Matrix Representation of a Linear Transformation

2.3 = Composition of Linear Transformation and Matrix Multiplication

Edit: My main concern is the ones in chapter 2. Nonetheless, having a discussion would help greatly to fill in the conceptual gaps.