1) A good mathematical model should necessarily be incomplete.
Because it is a representation, no model includes every aspect of the real world. If it did, it would no longer be a model.
2) The model may be changed or manipulated with relative ease.
In mathematical models parameters are most often represented by variables. Changes in the numbers assigned to the variables change the model.
3) Simplification/Idealization.
A model should contain the essential structure of objects or events.
3 qualities?
1st: To be able to make prediction (many poeple in biology make model just to make artificially interesting useless data)
2nd: should fit both theoretical limits and experimental data (even when confront with independent data)
3rd: Should be logical and make sense (We often see some model which use theoretical values where as the true data should be known)
1) A good mathematical model should necessarily be incomplete.
Because it is a representation, no model includes every aspect of the real world. If it did, it would no longer be a model.
2) The model may be changed or manipulated with relative ease.
In mathematical models parameters are most often represented by variables. Changes in the numbers assigned to the variables change the model.
3) Simplification/Idealization.
A model should contain the essential structure of objects or events.
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