5- Matrix Algebra Flashcards
What’s a vector equation?
What does it mean “checking whether a vector can be written as a linear combination of vectors?
What does it mean that there is a solution?
- It is a linear combination of vectors.
- is the same as solving it as a linear system;
- if the system as a solution then vector b can be generated as a linear combination of vectors.
Matrix:
- what is it?
- what is aij?
- main diagonal
- diagonal matrix
-identity matrix
- zero matrix
- matrix addition
- scalar multiplication
- it is a 2 dimensional array;
- entries aij where i=j;
- matrix whose non-diagonal entries are zero;
- it is a diagonal matrix where all diagonal entries are ones;
- matrix with all entries equal to 0;
- sum of the corresponding entries of the matrices;
- each entry of the matrix is multiplied by a scalar value.
Matrix-Vector Multiplication:
- notation
- requirement
- what is it
- when does it have a solution?
- Ax = v
- n cols matrix A = n rows vector x
- it is a linear combination of vectors (represented by the columns of the matrix) with the scalar multiples in the vector x.
- it has a solution if and only if b is a linear combination of the cols of matrix A.
Write the notation of the matrix equation, vector equation and associated augmented matrix… what do they have in common?
- Ax = v
- x1a1 + … + xnan = b
- [a1 … an b]
- they have the same solution set
Ax = b:
- we can think that the matrix A is…
- we are talking about a linear transformation if… (2 requirements)
- x in R^… into b in R^…
- as an object that transforms vector x to produce a new vector b.
- if before and after the transformation, the origin is the same and vectors are linear.
- x in R^n is transformed into x in R^m.
Linear Transformation properties:
- Additivity
- Scalar multiplication
- T(u + v) = T(u) + t(v)
- T(r * v)= r*(T) with r that is a scalar.
Given 2 matrices Amxn and Bnxp then:
- what is the product AB? What dimensions?
It is the matrix mxp whose columns are Ab1, Ab2… Abp, that is A * [b1 b2 … bp] = [Ab1 Ab2 … Abp]
Matrix Multiplication Properties:
- Associative law of multiplication
- Left distributive law;
- Right distributive law;
- for any scalar r;
- identity for matrix multiplication
Warnings:
- in general …
- in general…
- in general…
- A(BC) = (AB)C;
- A(B+C) = AB + AC;
- (A+B)C = AC + BC;
- r(AB) = (rA)B = A(rB);
- I A = A = A I.
Warnings:
- AB != BA;
- if AB = AC then is not true in general that B=C;
- if AB= 0 then is not true in general that either A or B is equal to the zero matrix.