1. Vectors and Matrices
Class 17.1
E: Ch. 5

2. Objectives Know what a Cartesian coordinate system is.
Know the difference between a scalar and a vector.
Review/learn how to interpret, add, subtract, and find the magnitude of vectors
Know how to use the right hand rule.

3. Objectives Be able to calculate the determinant of a matrix.
Be able to calculate the dot and cross products of vectors
Be able to represent a system of linear equations as matrices and vectors.
Be able to solve systems of linear equations using matrices.

4. Cartesian Coordinates
The Cartesian coordinate system is a system of orthogonal axes which is the basis for describing body and force systems in mechanics.
The coordinate system is
always right handed (obeys
the right hand rule.
We will focus on 2D systems. x y z

5. Scalars and Vectors
A scalar is a physical quantity having magnitude but not direction
Length, mass, time
A vector is a physical quantity having both magnitude and direction
Force, velocity, acceleration

6. Vectors Vectors have components along axes of the Cartesian system
x, y, and z axes are denoted by unit vectors
carat often used to imply unit vector
Unit vectors have a magnitude (length) of one. x y z a b c

7. Vectors Consider the 2D vector magnitude (length) angle w/ horizontal5 4 3 2 1 -1 -2 q

8. Dot Product Dot product is a vector operation. The result is a scalar.
Dot product of matrices does not exist.
The result is a scalar.
Using tools:
TI-83,86: dot
TI-89: dotp
Maple: dotprod
Matlab: dot

9. Dot Product:
Consider the 2D case:
Plot these vectors.

10. Vector Addition & Subtraction5 4 3 2 1 -1 -2 q
When adding, treat each direction separately
To add, place vectors head to tail
The negative of a vector is simply pointing in the opposite direction
The sum of vectors is called the resultant.

11. Matrix and Vector A matrix is an n x m array of numbers
n rows, m columns
The ij-th element, aij, is the element in row i and column j
A vector is a matrix that has only one row or only one column

12. Basic Functions The transpose is obtained by swapping columns and rows
In Matlab: apostrophe
The addition operation requires dimensional agreement.
i.e. to add a m x n matrix and a q x r matrix, must have m = q and n = r
Matrix addition is done by corresponding element

13. Matrix Multiplication
Matrix multiplication requires inner-dimensional agreement
i.e. to multiply a m x n matrix and a q x r matrix, must have n = q
Matrix multiplication is done by summing elementwise multiplication of row i in the first matrix with column j of the second matrix to get the ij-th element of the product.

14. Matrix Multiplication

15. Determinant
The determinant operation applies to a square matrix (# rows = # columns)
Denoted with bars
2x2 case:

16. Determinant
alternate
sign
For the 3x3 case:

17. Determinant For higher order cases uses tools.
TI-86,89: det
Maple:
> with(linalg);
> det([[1,5,7],[2,4,8],[3,6,9]]);
Matlab: det

18. Cross Product The cross product is a vector operation
yields a vector according to the right-hand-rule
Also have:

19. Cross Product Example: Using your tools.
TI-89: crossp([1,5,7],[2,4,8])
Maple:
> with(linalg);
> crossprod([[1,5,7],[2,4,8]);
Matlab: cross([1 5 7],[2 4 8])

20. Inverse A matrix times its inverse equals the identity matrix
Identity: All elements on the main diagonal are 1, all others are 0; matrix version of the scalar 1.
Matrix division is undefined
Using TI-89: ([[1,5,7][2,4,8][3,6,9]])^-1
Matlab: inv([1,5,7; 2,4,8; 3,6,9]);
Using Maple: inverse([[1,5,7],[2,4,8],[3,6,9]]);
A-1 =

21. Linear Equations A linear equation is of the form:
where the ai’s are constants (coefficients)
In order to solve for n unknowns (xn), n independent equations are needed.

22. 2 Equations, 2 Unknowns Consider the system of equations:
3 things can happen:
Exactly one solution (lines intersect)  independent
No solution (lines are parallel)
Infinite number of solutions (same line)

23. Solving Systems of Equations
Consider a system of 3 eqns, 3 unknowns:
This can be written as:
Using inverses can only be used if there is a single, unique solution; If multiple or no solutions exist, the inverse does not exist
x =

24. Solving Systems of Equations
Using your tools:
Using Maple:
multiply(inverse([[2,4,4],[1,2,1],[3,4,-2]]),[[12],[4],[1]]);
Using TI-89
(([[1,5,7],[2,4,8],[3,6,9]])^-1)*([12;4;1])
Or use ‘solve’
Using Matlab:
inv ([2,4,4; 1,2,1; 3,4,-2])*[12; 4; 1]);

25. Homework
WebAssign
Your documentation of your homework is 20% of your webassign assignment grade. Homework documentation is due at the beginning of class when the webassign homework is due. If webassign is not due at the beginning of a class, your documentation is due at the beginning of the immediate next class or lab.
If you need a refresher on problem presentation, read Ch. 2 in Eide