functions, equations and linearity

wk 1-3

Expressions vs Equations

  • Expression: Combination of variables

  • Expression with a Name = Function, as long as it is single valued.

  • Equation: Expression = Constant -mx + y = c -> usually have equal sign/equality on the entire equation

A function is a transformation of the input into the output; where input can be vectors and matrices.

Linearity

  • Transformation of a single, real value.

  • Must meet following two conditions:

  1. Homogeneity

  • f(s,x) = s * f(x)

  1. Additivity

  • Sum of two inputs is sum of each of the inputs added by each other. (ie. F(a+b) = F(a) + F(b)

Tests:

  1. Zero should transform to zero 2, Negative input -> Output changes the sign

  2. Sum of inputs = sum of outputs

  3. Input scaled, output scales. Not vice versa

Linearity of Multivariable Functions

A function with multiple input variables (group of number WITH a specified order) is a vector ie. f(x,y)

  • Has n dimensions (x element of Real number ^n)

Once again must: -> must fulfill homogeneity via the same scaling factor s in f (sx, sy)

Proof shown in textbook, do a copy. ????

Matrix is a two dimensional table of numbers that is a product of two vectors

  • How to calculate? -> sum of the products of the corresponding elements of each vector.

Function as a Linear Transformation/Mapping -> its like saying for each x, we do something on it, and get y. -> its like a lambda function

-> Eg. ax = b where a,b element of Real number.

  • Every Linear transformation has a unique matrix associated with it.

  • Resulting Matrices represents a mapping of n input dimension and m result (which stores the transformed values).

wk 2:

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