Part 7 · differential-equations
Differential equations
An equation whose unknown is a function. Separation turns it back into two ordinary integrals.
By the end of this chapter you can
- Verify that a function solves a differential equation
- Solve a separable equation and apply an initial condition
- Model exponential and logistic growth
- Read a solution curve off a slope field
Every equation so far had a number for its unknown. A differential equation has a function for its unknown, and describes it by how it changes:
“Find the function whose rate of change is twice its value.” That is a description of behaviour, not of a value, which is why differential equations are how science states its laws — chapters 2.1 and 10.1 of PhysTB are both exactly this.
Checking a solution is easy
Solving is work; verifying is just differentiating.
Is a solution of ?
Both sides come to , so yes. Note that works too, and so does for any constant — a differential equation has a family of solutions, and pinning down which one needs an extra fact.
That extra fact is an initial condition like , and a problem giving you one is asking for a single function rather than a family.
Separation of variables
The one technique AB needs. When the equation can be written with all the $y$s on one side and all the $x$s on the other, integrate both sides.
For :
Exponentiating gives , and makes .
Where the constant goes. One constant is enough — combining the two from the separate integrals gives a single , and exponentiating turns an additive constant into a multiplicative one. That is why the answer has as a coefficient rather than an addend.
Exponential growth
says the rate of growth is proportional to the amount present, and its solution is
Positive is growth, negative is decay — the second claim is the decay case heading to zero. This one equation covers compound interest, population growth without constraint, and radioactive decay.
Doubling and half-life. Time to double satisfies , so — independent of where you started, which is the characteristic property of exponential behaviour and a standard exam question.
Logistic growth
Unconstrained exponential growth is unphysical: populations run out of food. The logistic equation adds a ceiling :
The bracket is near when is small — so growth starts exponential — and near as approaches , which stalls it. The population levels off at , the carrying capacity.
Two facts the exam asks for directly, and both come from the equation without solving it:
- . Growth stops when the bracket vanishes.
- Growth is fastest at . The rate is a downward parabola in , and its vertex is halfway.
Setting that derivative to zero gives exactly — the maximum growth rate, verified. That point is the inflection point of the solution curve, where it stops curving up and starts curving down.
Slope fields
A slope field draws a short segment at each point with the slope the equation prescribes there. Solution curves follow the segments, and one passes through each point — which is a picture of the family of solutions all at once.
Reading one:
- Follow the segments from the initial condition to sketch that solution.
- Horizontal segments mark where — equilibria.
- Segments depending only on mean the field looks the same at every , which is the signature of an autonomous equation like .
For the logistic equation the field is horizontal along and — the two equilibria — steepest in between, and every curve starting between them climbs toward .