What research designs used on mathematical modelling?

In summary, the conversation discusses the creation of a mathematical model for a phenomena that is generally applicable. The steps involved in conducting the study include understanding the system, creating an appropriate model, providing reasoning and logic, and supporting the model with facts and laws. The ultimate goal is to develop a model that has potential for practical applications. The reference provided offers further information on mathematical modeling.
  • #1
HAgdn
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I am currently conducting a study that proposes a mathematical model.

"mathematical model (n): a representation in mathematical terms of the behavior of real devices and objects."[1]

The study composes of:

AIM of the study: Create a mathematical model that represents a phenomena or happening that is at least generally applicable.

1. Knowing the system and what observations can be taken.
2. Creating and Appropriate mathematical model.
3. The reasoning and logic behind creating the model.
4. Supporting facts/laws that help in creating the model
5. Concluding Why the proposed mathematical model has potential in terms of practical application.
~~~~THE END~~~~

[1] https://www.sfu.ca/~vdabbagh/Chap1-modeling.pdf (page 4)

Any appropriate research design basing from the purpose and steps taken to conduct such study?
 
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  • #2
What do you mean? Are you talking about what would I call a physical theory like general relativity, or about a mathematical model within logic? What is the object you want to consider, and what is its purpose?

Otherwise: The harmonic oscillator is a very famous example.
 
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  • #3
Looks as if you don't want to do the exercise and want someone else to do it for you ? I must be mistaken :rolleyes: !

Nevertheless, PF is always there for you to help, especially with specific questions !
 
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1. What is mathematical modelling?

Mathematical modelling is the process of creating a mathematical representation of a real-world system or phenomenon. It involves using mathematical equations and data to describe and predict the behavior of the system.

2. What research designs are commonly used in mathematical modelling?

The most commonly used research designs in mathematical modelling include experimental, observational, and simulation studies. These designs involve collecting and analyzing data to test hypotheses and make predictions about the behavior of a system.

3. How do researchers choose which research design to use in mathematical modelling?

The choice of research design in mathematical modelling depends on the research question and the availability of data. Experimental designs are often used when researchers can manipulate variables and control for confounding factors. Observational designs are used when direct manipulation is not possible. Simulation studies are used when it is not feasible or ethical to conduct experiments or collect data from the real world.

4. What are the advantages of using mathematical modelling in research?

Mathematical modelling allows researchers to study complex systems and phenomena that may be difficult or impossible to investigate through traditional methods. It also allows for the testing of multiple scenarios and predictions without the need for costly and time-consuming experiments.

5. What are the limitations of using mathematical modelling in research?

One limitation of mathematical modelling is that it relies on simplifications and assumptions, which may not accurately reflect the real world. Additionally, the quality of the model depends on the accuracy and relevance of the data used. Therefore, it is essential for researchers to carefully select and validate their data to ensure the reliability of their models.

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