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Modelling in Applied Mathematics

katie.barclay Applied Maths Bachelor Degree English

Mind map of Modelling in Applied Mathematics: Dimensional Analysis, Exponential Model, Logistic Model and Equilibrium

Mind map: Modelling in Applied Mathematics: Dimensional Analysis, Exponential Model, Logistic Model

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Modelling in Applied Mathematics

  1. Dimensional Analysis

    • Mass [M], Length [L] & Time [T]
    • Can find expressions for dependence
    • Have to ensure dimensional consistency
  2. Exponential Model

    • dN/dt = aN
      • Separable
      • Solves to give N = nexp(at)
    • Birth Rate (b) - Death Rate (c) = Growth Rate (a)
    • Depends on Growth Rate a and Initial Population n
    • Periodic Growth Rate - dN/dt = -acos(wt)N
  3. Logistic Model

    • dN/dt = a(1 - M/N)N
      • a is linear growth rate, M is carrying capacity, n is inital population
    • Separable First Order ODE
    • Use partial fractions to solve
      • Solution; N(t) = Mn/((M-n)exp(-at) + n)
    • Depends on a, M & n
  4. Equilibrium

    • Autonomous ODE
      • dy/dt = f(y)
        • Phase Space and Phase Portrait
    • Stable? Asymptotically Stable? Unstable?
    • Linearisation
      • f'(ye) < 0, a stable. f'(ye) > 0, unstable.
      • Find solutions to f(y) = 0
        • Find f'(y), then consider sign of solution
  5. Harvesting

    • Constant, fixed fraction, "switch on"
    • dN/dt = a(N)N - H
      • H is constant
    • Critical Harvesting
      • Find maximum value of f(N)
        • Differentiate, solve = 0, calculate f(N) with solutions.

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Mindmap of Dimensional Analysis, Exponential Model, Logistic Model, Equilibrium and Harvesting
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katie.barclay
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