5- Matrix Algebra Flashcards

1
Q

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?

A
  • 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.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Matrix:
- what is it?
- what is aij?
- main diagonal
- diagonal matrix
-identity matrix
- zero matrix
- matrix addition
- scalar multiplication

A
  • 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.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Matrix-Vector Multiplication:
- notation
- requirement
- what is it
- when does it have a solution?

A
  • 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.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Write the notation of the matrix equation, vector equation and associated augmented matrix… what do they have in common?

A
  • Ax = v
  • x1a1 + … + xnan = b
  • [a1 … an b]
  • they have the same solution set
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

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^…

A
  • 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.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Linear Transformation properties:
- Additivity
- Scalar multiplication

A
  • T(u + v) = T(u) + t(v)
  • T(r * v)= r*(T) with r that is a scalar.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Given 2 matrices Amxn and Bnxp then:
- what is the product AB? What dimensions?

A

It is the matrix mxp whose columns are Ab1, Ab2… Abp, that is A * [b1 b2 … bp] = [Ab1 Ab2 … Abp]

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

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
  • 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.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly