Description
Assignment Guidelines
The main purpose of this assignment is to give you a chance to apply what you have learned from lectures to some more involved problems. While assessing you on your ability to write a clear and concise report is not the main goal, there will be some marks set aside for clarity, readability, and grammar (this will be helpful experience for some of the stricter engineering reports in future courses).
Here are a few key guidelines:
• You should not need a large introduction or conclusion. You can assume that the reader has access to the assignment questions, so do not worry about retyping the whole question out again. One or two sentences to explain the background of each question is sufficient for introduction, and you do not need a conclusion for the whole assignment.
• Each question has its own context (even if that context is purely mathematical) and you should answer within that context.
• Explain how you calculated your answers with enough detail to show that you understand the method.
o You can do this several ways. Consider using a combination of paragraphs, tables, equations, working, diagrams, snippets of code, etc. to describe your methods and decisions.
o You can assume the reader of your assignment has the basic mathematical knowledge required for this course (e.g. you don’t need to explain what matrix multiplication is).
• Lay out your final answers clearly.
• You should not include large code scripts in the main body of your assignment but including them in appendices would be appropriate.
Cover sheet
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EMTH211 – Assignment Cover Sheet
Name(s): Dominic McNulty
Student ID(s): 57881020
Signatures(s):
This assignment MUST be your own work or the work of a pair. STAPLE this page to the front of your assignment.
Your (optional) meme here
Q1
As part of an investigation about which rides are the most popular, you have been tasked with modelling a theme park with attractions labelled A, B, C, D, E, F and G. The layout of the park is given on the following page, with the labelled circles representing the rides (see part (d) below), and the lines representing paths between rides. The behaviour of a typical park visitor is as follows: A visitor will either go on the same attraction again, or they will go to an attraction that is adjacent (connected by a path) to the one they previously rode; chosen at random with the probability that the visitor will go to an adjacent ride with thrice the probability that they will go the same ride again. Thus, for example, if the visitor just went to attraction G, the next ride would be G with a probability of 1/10, B with a probability of 3/10, D with a probability of 3/10, and F with a probability of 3/10.
a) What is the long-term probability distribution for the location of the visitor? Give your answer in terms of percentages.
b) In the long term, which attraction(s) is a visitor most likely to ride three times in a row? What is the probability for this to occur?
d) (optional) Draw your best guess at what each ride might look like, where the ride names are:
A Algebraic Abyss B Boolean Bumpercars
C Covariance Cove
D Derivative Drop
E Exponential Enterprise
F Fourier Flumes
G Gaussian Gauntlet
Q2
You have been tasked with modelling a hypothetical mosquito outbreak in the theme park. Based on (possibly fictional) research done on “mosquito outbreaks in maths-themed theme parks”, the mosquitos would have the following population parameters:
Vector entry Age (days) Birth Rate Survival Rate
𝑥1 0-5 0 0.15
𝑥2 5-10 0 0.30
𝑥3 10-15 0 0.50
𝑥4 15-20 100 0.40
𝑥5 20-25 100 0.25
𝑥6 25-30 100 0.25
𝑥7 30-35 100
These age groups correspond to specific stages of a mosquito’s life, where 𝑥1 are eggs, 𝑥2 are larvae, 𝑥3 are pupae, and 𝑥4−7 are adults.
b) Comment on whether you think that the mosquito population distribution has approached the theoretical long-term distribution after the 50 iterations of population growth in (a). Clearly explain your answer.
Q3
Let
3 2 0 0
1 −5 0.1 0.1
𝐴 = [ ]
0 0 −6 −0.1
0.5 0.1 −0.1 2
a) Use Gershgorin’s Theorem to locate the eigenvalues of A.
b) Use the inverse power method to compute all the eigenvalues (use a tolerance of 0.01). Your code should be written to run efficiently even if A was very large (e.g. 1000×1000).



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