## Title

A mathematical approach to predict chromatic outcome from the combination of rosids

## Author

Yours truly

## Introduction

Since the late 1590s, the chromatic outcome of rosids has remained an unanswered question [1]. Despite the number of researchers and studies producing a wealth of data, that data so far remains inconclusive with different studies pointing to different conclusions including different types of smell and flavour [2]. Mathematical approaches have proven useful to address scientific questions by integrating several types of experimental data into a theoretical framework and making testable predictions.

## Methods

We have previously developed a number of sophisticated mathematical models that unfortunately have little applicability to this problem. In this occasion we have decided to assume the rosids to be Rosa[3] and Viola[4]. Specifically Roses and Violet have been traditionally used as model rosids in which to perform this type of research. Existing literature suggests that roses can be abstracted by the RGB triplet (255,102,204)[5]. On the other hand violet has been reported to correspond the the triplet (159,0,255)[6]. The experimental data is shown in figures 1 and 2 below.

## Results

By utilizing a computational approach combining both colours and after a number of simulations we derived a number of similar looking colours that our experimentalists have associated with *something kind of* magenta (personal communication).

Thus, our main result can be mathematical expressed in this way:

- Roses are red
- Violets are blue.
- The Mix is magenta
- And so are you
- Signed: your mother

## Discussion

The results presented here are based on solid existing experimental data that has been used to motivate a computational model. The model recapitulates existing results such as the redness (1) of roses and the (2) blueness of Violets, and produces some new hypotheses yet to be tested (3-5). Although we are working on the validation of points 3-4, point 5 will need to remain untested until sufficiently sophisticated experimental metrics are developed.