Vectors, Functions and Plots in Matlab

Vectors, Functions, and Plots in Matlab

Entering vectors:

In Mat lab the basic objects are matrices that is arrays of numbers. Vectors are able to be thought of as special matrices. A row vector is recorded as a 1 × n matrix also a column vector is recorded as am × 1 matrix. To enter a row vector in Mat lab enter the following at the prompt ( > ) in the command window:

> v = [0 1 2 3]

And press enter. Mat lab will print out the row vector. To enter a column vector type

> u = [9; 10; 11; 12; 13]

You are able to access an entry in a vector with


And change the value of that entry with

>u(2) = 47

You are capable to extract a slice out of a vector with


You are able to change a row vector into a column vector and vice versa easily in Mat lab using:

> w = v’

(This is called transposing the vector as well as we call’ the transpose operator.) There are as well useful shortcuts to make vectors such as

> x = -1:.1:1


> y = linspace(0,1,11)

Plotting Data:

Consider the following table acquired from experiments on the viscosity of a liquid. We are able to enter:

766_Plotting the data.jpg

This data into Mat lab with the following commands entered in the command window:

> x = [ 5 20 30 50 55 ]
> y = [ 0.08 0.015 0.009 0.006 0.0055]

Inserting the name of the variable retrieves its current values. For illustration:

We are able to plot data in the form of vectors using the plot command:


This will make a graph with the data points connected by lines. If you would choose that thedata points be represented by symbols you can do so. For illustration:


Data as a Representation of a Function:

A main theme in this course is that often we are interested in a certain function y = f(x) howeverthe only information we have about this function is a discrete set of data {(xi, yi)}. Plotting thedata as we did above is able to be thought of envisioning the function using just the data. We will discoverlater that we can also do other things with the function like differentiating and integrating, merelyusing the available data. A numerical method, the topic of this course means doing mathematics bycomputer. Since a computer can merely store a finite amount of information we will approximately alwaysbe working with a finite discrete set of values of the function (data) rather than a formula for thefunction.

Built-in Functions:

If we wish to deal with formulas for functions Mat lab contains a number of built-in functions,including all the typical functions, such as sin( ), exp( ), and so on. The meaning of the majority of these isclear. The dependent variable (input) forever goes in parentheses in Mat lab. For example


Must return the value of sin π, which is of course 0 and


Will return e0 which is 1 More significantly the built-in functions can operate not only on singlenumbers however on vectors. For illustration:

> x = linspace(0,2*pi,40)
> y = sin(x)

Will return a plan of sin x on the interval [0, 2π]

A few of the built-in functions in Mat lab include:

cos( ), tan( ), sinh( ), cosh( ), log( )(natural logarithm), log10() (log base 10), asin( ) (inverse sine), acos( ), atan( ). To findout more about a function utilize the help command; try

> help plot

User-Defined Inline Functions:

If we wish to deal with a function that is a combination of the built-in functions, Mat lab has acouple of ways for the user to define functions. One that we will use lots is the inline function whichis a way to define a function in the command window. The following is a usual inline function:

> f = inline(’2*x.^2 - 3*x + 1’,’x’)

This produces the function f(x) = 2x2 − 3x + 1. To acquire a single value of this function enter:


Merely as for built-in functions, the function f as we defined it is able to operate not only on single numbersbut on vectors. Attempt the following:

> x = -2:.2:2
> y = f(x)

This is an example of vectorizationthat is putting several numbers into a vector as well as treating thevector all at once, rather than one component at a time and is one of the strengths of Mat lab.

The reason f(x) works when x is a vector is for the reason that we represented x2 by x.^2. The turns the exponent operator ^ into entry-wise exponentiation, therefore that [-2 -1.8 -1.6].^2 denotes[(−2)2, (−1.8)2, (−1.6)2] and yields [4 3.24 2.56]. On the contrary [-2 -1.8 -1.6]^2 denotes the matrixproduct [−2,−1.8,−1.6][−2,−1.8,−1.6] as well as yields only an error. The is needed in .^, .*,and ./. It isn’t needed when you * or / by a scalar or for +.

The results are able to be plotted using the plot command just as for data:


Notice that previous to plotting the function we in effect converted it into data. Plotting on any machinefor all time requires this step.

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