Shadow Functions Maths IB HL Portfolio

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Shadow Functions

Polynomials represent a large area of mathematics. The word itself is a combination of the Greek poly and Latin binomium, meaning "many" and "binomial".

A polynomial function is in the form:

where

 is a non-negative integer and

are constants.

We define roots or zeros of a polynomial the x-values for which these equal to zero;

Real roots of a polynomial are graphically represented by their y-intercepts, but how can complex roots be identified?

In this task, I will investigate the method of shadow functions and their generators, which help identify the real and imaginary components of complex zeros from key points along the x-axis.

To this effect, I will make use of the software Geogebra, a graphing program.

Part A: Quadratic Polynomials

Quadratic polynomials are in the form

 where

 and

.

Their roots can be calculated by using the so-called discriminant

.

And are calculated to be

Let us consider the quadratic function:

, where

Where the vertex has coordinates

We can find the zeros of this quadratic by expanding the function:

Where the discriminant  

,

thus

has two complex roots:  

The "shadow function" to

is another quadratic

 which shares the same vertex but has opposite concavity and two real roots.

                                       

Let us proceed and use various values for

 and

 to generate different pairs of functions

 and

, to observe their graphical relationship.

 has a vertex with coordinates

 and positive concavity.

By definition, its shadow function will have negative concavity, but the same vertex:

 with vertex

.

Graphed:

As we can see,

 is a reflection of

 by a line passing through the vertex and parallel to the x-axis, which we will call

, the shadow-generating function.

Choosing different values for

 and

,

 with vertex coordinates

;  

.

Once again, it is observable that the line passing through the vertex and parallel to the x-axis reflects the original function to form its shadow function.

Testing this a last time with

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.

 

 

As expected,

 represents the axe of symmetry between the two functions.

If we want to generalise an expression for the shadow function, we need to reconsider the definition of the shadow function in itself. It has the same vertex, but opposite concavity. Thus, it is reflected by the line passing through the vertex and horizontal to the x-axis:

.

Thus:

So from the first equation:

 ,

which can be substituted in the second equation to give:

...

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