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A mathematical model is the mathematical
description of a real situation.

In  developing      the     model, some
assumptions are made and we consider
some simplifications of reality.

A model can represent it using:

• Relations

• functions
There are three types of models:

•Linear model: We call
linear models to situations
can be represented by a
linear function. can be
determined graphically or
by means of an equation.
• Quadratic model: We say
  that the model is quadratic
  if we can express by means
  of a quadratic function.

  A quadratic model can be
  determined through an
  equation or by means of a
  graph that made the best
  approximates of the data.
• Exponential model: We call
  exponential     models    to
  situations      that     are
  represented       by      an
  exponential function.
  The exponential models are
  very common in the study
  of population increases, the
  calculation of bank interest,
  so as various physical
  phenomena.
The process for develop a mathematical model is as
following:




                   4.Compare the data obtained as
               predictions with real data. If the data
               are different, the process is restarted.
A single differential equation mathematical
model can be of many different phenomena.
 a mathematical model is formed by an initial
value problem, or also value problem at the
border.
• An analysis of the spread of a contagious flu, for
  example, is reasonable to assume that the rate or
  reason that spreads not only is proportional to the
  number of people, x (t), which have contracted at time
  t, but also the number of subjects, and (t), which have
  not yet been exposed to infection. If the rate is dx / dt,
  then



• Where k is the usual constant of proportionality.
• If, for example, introduces
  an infected person in a
  constant population of n
  people, then x and y are
  related by x + y = n + 1.
  We use this equation to
  eliminate and in equation
  (1) and obtain the model




• An obvious initial condition
  accompanying equation
  (2) is x (0) = 1.

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Mathematical modelling

  • 1.
  • 2. A mathematical model is the mathematical description of a real situation. In developing the model, some assumptions are made and we consider some simplifications of reality. A model can represent it using: • Relations • functions
  • 3. There are three types of models: •Linear model: We call linear models to situations can be represented by a linear function. can be determined graphically or by means of an equation.
  • 4. • Quadratic model: We say that the model is quadratic if we can express by means of a quadratic function. A quadratic model can be determined through an equation or by means of a graph that made the best approximates of the data.
  • 5. • Exponential model: We call exponential models to situations that are represented by an exponential function. The exponential models are very common in the study of population increases, the calculation of bank interest, so as various physical phenomena.
  • 6. The process for develop a mathematical model is as following: 4.Compare the data obtained as predictions with real data. If the data are different, the process is restarted.
  • 7. A single differential equation mathematical model can be of many different phenomena. a mathematical model is formed by an initial value problem, or also value problem at the border.
  • 8. • An analysis of the spread of a contagious flu, for example, is reasonable to assume that the rate or reason that spreads not only is proportional to the number of people, x (t), which have contracted at time t, but also the number of subjects, and (t), which have not yet been exposed to infection. If the rate is dx / dt, then • Where k is the usual constant of proportionality.
  • 9. • If, for example, introduces an infected person in a constant population of n people, then x and y are related by x + y = n + 1. We use this equation to eliminate and in equation (1) and obtain the model • An obvious initial condition accompanying equation (2) is x (0) = 1.