#Linear Algebra
38 messages · Page 1 of 1 (latest)
there are free linear algebra books online for sure
the ones I have start with vectors and matrices, mostly
Yeah im not really doubting that, i mostly wanted to know the topics i need to start with, thank you
So basically vectors and matrices right?
I'll tell you the contents of a book I have, sec
Appreciate that
So, these are the chapter of the book. Sadly, it's in german so you'll habe to translate it using an app.
I know it's a bit inconvenient, but I didn't want to translate the chapter names only and have you scrambling for stuff
My understanding is that the reason it's called "linear algebra" is because it's about using the techniques of algebra to study linear transformations.
Ofc this won't list everything as well (It's Linear algebra 1)
Ive heard good things about a book called linear algebra done right
But ive never used a book for lin alg tbh
Why do i keep seeing 108 typing just say what u have to say (:
Eh whatever
-
Sets and images
1.1 Sets
1.2 Images -
Vector spaces
2.1 Real vector space
2.2 Complex numbers and complex vector spaces
2.3 linear subspaces
2.5 fields -
Dimensions
3.1 Linear independece
3.2 Meaning of the term "dimension"
3.5 Vector product/Cross product -
Linear maps
4.1 Linear maps
4.2 Matrices
4.4 Quotient spaces
4.5 Rotations and reflection in R² -
Calculating using matrices
5.1 Multiplication
5.2 Rank of a matrix
5.3 Elementary linear transformation
5.5 How do you invert a matrix? -
The determinant
6.1. The determinant
6.2 Calculation of determinants
6.3 The determinant of a transposed matrix
6.4 A formula for the determinant of an inverted matrix
6.5 Determinant and matrix product
6.7 Determinant of an endomorphism
6.8 Leibniz' formula -
Linear systems of equations
7.1 Linear systems of equations
7.2 Cramer's rules
7.3 Gaussian elimination -
Euclidean vector spaces
8.1 Scalar products
8.2 Orthogonal vectors
8.3 Orthogonal projections
8.4 Groups -
Eigenvalue
9.1 Eigenvalue of a vector
9.2 The characteristic polynomial
9.4 Polynomials -
Diagonalization
10.1 Self-adjoint endomorphisms
10.2 Symmetrical matrices
10.3 Diagonalization -
Classification of matrices
11.1 What does "classifying" mean?
11.2 Rank of a matrix
11.3 Jordan normal form
11.4 Diagonalization, again
11.5 Sylvester's law of inertia
.
.
Left out the unnecessary or vague stuff
A few words may be incorrectly translated as well
Becausing typing is hard
I lost 9 of my fingers in a freak Play-Doh accident 14 years ago.
ur book sounds so boring actually
have you been enjoying it at all?
i think i enjoyed learning linear algebra but it can be really repetitive
(diagonalization is my worst enemy)
ill be praying for them to grow back 🙏
👼
The book is horrible, actually
Noticed a bit too late
Sometimes he'll explain things using graphics, which don't really make sense
For example the image or preimage of a function
Asked my highschool maths professor about it a few years ago too, to which he told me that "this explanation makes no sense"
Sorry I was gone
Thank you so much man
LMAO so basically the book itself is....weird, but the curriculum is good, right?
I can't really say if the order of the content is ideal, but at least it gives you an overview
Yeah, I appreciate it really
It contains what I asked for
You might really want to check out some other books though
and see how others did it
Sure, ima search it up at least and see what pops up
Check out Linear Algebra by Friedberg Insel Spence