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Linear Algebra

  1. Vectors
    1. Scalars
    2. Vectors vs Sets
    3. Addition and Subtraction
    4. Scalar Multiplication
    5. Zero Vectors
    6. Linear Combinations
    7. Real Dot Product
    8. Length of a Vector
    9. Orthogonal Vectors
    10. Parallel Vectors
    11. Angle Between Vectors
    12. Unit Vectors
  2. Matrices
    1. Notation
    2. Indexing
    3. Submatrices
    4. Matrix-by-Vector Product
    5. Addition and Subtraction
    6. Scalar Multiplication
    7. Transpose
    8. Symmetries
    9. Matrix Multiplication
    10. Identity Matrix
    11. Non-Negative Integer Powers
    12. Reverse Order Law of Transposition
  3. Linear Systems
    1. Inverse Matrices
    2. Singular Matrices
    3. Linear Dependence
    4. Solutions
  4. Planes
    1. Vector Cross Product
  5. Gaussian Elimination
Linear Algebra β€ΊMatrices β€ΊNotation

Matrix Notation

Matrices are usually denoted by a capital letter and elements are arranged in a grid-like fashion, surrounded by brackets or parentheses (similar to vectors).

Here is an example of a 3Γ—33 \times 33Γ—3 matrix AAA:

A=[952486173].A = \begin{bmatrix} 9 & 5 & 2 \\ 4 & 8 & 6 \\ 1 & 7 & 3 \end{bmatrix}.A=​941​587​263​​.

This matrix could also be written as

A=(952486173),A = \begin{pmatrix} 9 & 5 & 2 \\ 4 & 8 & 6 \\ 1 & 7 & 3 \end{pmatrix},A=​941​587​263​​,

but the first option (with the brackets) is more common in engineering-related fields.

I will be using brackets for the rest of the course.

Size of a Matrix

As I have already mentioned above, this is a 3Γ—33 \times 33Γ—3 matrix. The first 333 refers to the number of rows, the second 333 to the number of columns. A matrix does not have to have the same amount of rows and columns, for instance, we could define a matrix AAA as follows:

A=[132446],A = \begin{bmatrix} 1 & 3 & 2 \\ 4 & 4 & 6 \\ \end{bmatrix},A=[14​34​26​],

and this would be a 2Γ—32 \times 32Γ—3 matrix.

A matrix where the number of rows is the same as the number of columns (as in the first example) is called a square matrix. A matrix where the number of rows is different from the number of columns (as in the last example) is called a rectangular matrix.

A 3Γ—33 \times 33Γ—3 matrix is said to be a β€œthree by three” matrix.

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Matrices - Introduction
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Indexing of a Matrix
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