It’s extending the unit vector idea.
unit vector
Scalar Projection & Vector Projection
Refer to the note in Pre Linear algebra about understanding Dot product.
Pre Linear algebra
Assume that the vector w projects onto the vector v.Notation:
w
v
Componentᵥw
Matrices Elimination
Matrices elimination (or solving system of linear equations) is the very first and fundamental skill throughout Linear Algebra. It's probably the first lesson of all sorts of courses.
Matrices elimination
solving system of linear equations
Matrix Transformation
It’s a subset of Linear transformation, just with higher dimension rules & multiple points graph multiplying together.
Linear transformation
higher dimension rules
multiple points graph
YOU BREAK THE RULE IN TO DIFFERENT UNIT VECTORS i, j, k... AND BREAK THE GRAPH INTO DIFFERENT POINTS, AND APPLY EACH i, j, k RULES TO EACH POINT.
THE RULE
Changing basis of a vector, the vector’s length & direction remain the same, but the numbers represent the vector will change, since the meaning of the numbers have changed. Our goal is to calculate the New numbers in the vector in terms of the new basis.
Vectors multiplication
Vector multiplication is FUNDAMENTAL skill to solve Matrices multiplication.
Matrices multiplication
LU Decomposition of Matirx
For a Matrix A, we could factor it out as A = LU, just like we factor a number to two numbers.
A = LU
Online LU Decomposition Calculator
Determinant of Transformation
It’s quite easy to calculate, and not too hard to understand what’s behind it.
The Determinant of a transformation is How much the AREA of the new Graph scaled.
Determinant of a transformation
Inverse Matrices
There is actually no concept of division of matrix. But similarly we can let it multiply an inverse to achieve the same goal.
division of matrix
multiply an inverse
Refer to 3Blue1Brown: Inverse matrices, column space and null space Refer to maths is fun: Inverse of a Matrix.
Matrix multiplication
IT IS A WHOLE NEW AREA ASIDE FROM MATRICES BASIC OPERATIONS.
These were the top 10 stories published by Linear Algebra Basics in 2019. You can also dive into monthly archives for 2019 by using the calendar at the top of this page.