Examples from Modelling with first-order equations
All examples from Modelling with first-order equations.
Newton's law of cooling
If is a constant ambient temperature, the rate of change of the temperature difference is proportional to that difference:
Equivalently,
If is measured in hours, then has units of ; the same inverse-time units apply to any first-order rate constant.
Separation or the linear method gives
The difference keeps its sign and decays exponentially. A hotter object cools monotonically, a colder object warms monotonically and
As a forensic application, a body's temperature is measured at 11:30 am and again an hour later. Let be 11:30 am. The data are
Using the first measurement,
The second measurement gives
If death occurred hours before 11:30 am, the body was at normal temperature at :
Therefore
The estimated time of death is about 12:28 am. This estimate assumes a constant ambient temperature and cooling coefficient over the whole period; the ODE alone cannot verify those assumptions.
[exam]
A salt solution
Let be the amount of salt in grams and the volume in litres. For a well-stirred tank,
and
Suppose , , the inflow is litres per minute at grams per litre and the outflow is litres per minute. Assuming the tank remains well mixed and no salt is created or removed except by the streams, the volume is
and conservation gives
The equation is linear:
An integrating factor is , so
Integrating gives . At , . Thus
The concentration tends to grams per litre as increases, which matches the inflow concentration.
The volume grows because inflow exceeds outflow. The physical domain is (so ); extending the formula to earlier times would need a separate physical justification.
[exam]
Exponential population growth
If the rate is proportional to the population,
If is measured in hours and , then . The time needed to reach satisfies
[routine]
A city with a carrying capacity
Suppose the carrying capacity is million, with million and million. The logistic solution is
because . Using ,
Thus, with population measured in millions,
[exam]