Examples of First-Order Differential Equations

Phenomena in many disciplines are modeled by first-order differential
equations. Some examples include

Mechanical Systems

Consider a ball of mass m falling under the influence of gravity. Let y(t)
denote the height of the ball and v(t) denote the velocity of the ball. (In our
coordinate system positive is upward.) According to Newton's law, mass
times acceleration equals force, we get the following differential equations:

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The first equation can be simplified to read v'=-g. These two differential
equations can be accompanied by initial conditions: the initial position y(0)
and velocity v(0).

The above problem can be solved easily. The equations are both
directly integrable. If you have taken physics class you should remember
that

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where v_0 is the initial velocity and y_0 is the initial position. Suppose we
now assume that the ball is subject to air resistance. A simple model is
that the force of air resistance is proportional to velocity. In this case, the
new differential equations are

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The term -kv(t) represents air resistance and k is a constant. The minus
sign means that air resistance acts in the direction opposite to the motion of
the ball.It is more difficult to solve this problem exactly. So we will not give the
solution here. This is an example of a linear ode.

Electrical Circuits

Consider a series RC (resistor and capacitor in series) circuit with voltage
source V(t). Let I(t) denote the current. The differential equation for the
current is

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Here R is the resistance of the resistor and C is the capacitance of the capacitor
(both are constants). R, C and V(t) and the intial current I(0) must be specified.
This is another example of a linear ode.

Population Models

The simplest population growth model, the Malthusian model, states that
the rate of change of population is proportional to the population. In
mathspeak we have

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Here P(t) is the population at time t and a is a constant. (We assume that the
population is a continuous function for simplicity. If we assume P(t) represents
number of people, then obviously P(t) can take only integer values. A different
type of analysis is required.)

This is an example of a linear separable ode. The exact solution to the problem is

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If a is positive, the populations grows exponentially for all time. This is unrealistic.
A more realistic model is the logistic model

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Here a and b are constants. In this model P'(t) is a sum of positive and negative
terms (assuming P(t) is non-negative). If P(t) is sufficiently large, P'(t) is negative.
It turns out as t increases the poplulation approaches b. b is the carrying capacity of
this model. This is an example of a nonlinear separable ode.

Newton's Law of Cooling

Let T(t) denote the temperature of an object and let M(t) be the temperature
of the surrounding environment. Newton's law of cooling states that the rate of
change of temperature of the object is proportional to the difference between
the object and environment temperatures. The differential equation is

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Here k is a positive constant. Notice the negative sign. If the object is at a
higher temperature than the environment, then T'(t) is negative and the
temperature decreases, agreeing with intuition. M(t), k, and the initial
temperature T(0) must be specified. This is another example of a linear ode.

Compartmental Analysis

Consider a tank with volume 100L containing a salt solution. Suppose a
solution with 2kg/L of salt flows into the tank at a rate of 5L/min. The
solution in the tank is well-mixed. Solution flows out of the tank at a
rate of 5L/min. If initially there is 20kg of salt in the tank, how much salt
will be in the tan as a function of time?

This is an example of compartment problem. Let x(t) be the amount
of salt in the tank in kg. x'(t) is equal to the rate at which salt enters the
tank minus the rate at which salt leaves the tank. The rate at which salt
enters the tank is (5L/min)(2kg/L)=10kg/min. The rate at which salt leaves
the tank is equal  to the rate of flow of solution out of the tank times the
concentration of salt in the solution. The concentration of salt is x(t)/100L.
Hence the rate of outflow of salt is (5L/min)(x(t)/100L). The differential
equation for the amount of salt is

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The is another example of a linear ode. The solution of the ode is

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