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A differential equation gives a rule for a function’s rate of change. Solving it means finding a function that obeys that rule on an interval. Separation of variables turns some first-order equations into two integrals. The important decisions come before and after the integration: which divisions are valid, which constant solutions need their own check, and which interval contains the initial value?
This original lesson develops those decisions through a worked initial-value problem and two growth models. The logistic model is an optional extension. For Dawson 201-MA2-DW, use the sections that match your current outline; this is neither an official exam nor a complete course review. Return to Dawson 201-MA2-DW tutoring for help with your own chapter.
What to know first
You need basic derivatives and antiderivatives, the chain rule, exponentials and natural logarithms. A prime denotes differentiation with respect to the independent variable. The symbol means natural logarithm, and denotes an arbitrary real integration constant.
If integration is the obstacle, use choosing an integration method. That lesson already explains substitution and partial fractions. Here we use those tools to solve an equation for an unknown function.
1. Recognize a separable equation
An equation is separable when it can be written, on its stated domain, as
The right side is a function of multiplied by a function of . For example, is separable. So is : take .
By contrast, the right side of is a sum whose terms cannot be separated into one such product on an open region. Do not write : dividing by gives . This equation has the linear form , so use the integrating-factor lesson.
The categories can overlap. The equation is both separable and linear. Choose a method because its steps are valid, rather than assuming every first-order equation has the same method.
2. Check constant solutions before dividing
For , a value with is a candidate constant solution . Substitute it into the original equation, and check that the equation is defined there. Such a constant solution is called an equilibrium solution.
For , the constant function works: its derivative and the right side are both zero for every . Dividing by would exclude it from the following algebra, so record it first.
The factor also vanishes at . That says every solution has zero derivative at that particular input. It does not say every solution is constant on an interval.
Now work on an interval where . There,
Why does the left integral use ? If , the chain rule gives
Separation is a convenient notation for this chain-rule calculation. Do not integrate as though it were a constant with respect to .
Keep one integration constant after combining the constants from both sides. An implicit relation is acceptable when isolating is inconvenient, provided it defines the required differentiable branch and you check it in the original equation.
3. Work through an initial value
Solve
Keep the excluded case
The equilibrium solves the equation, but it does not satisfy . For the branch through the prescribed point, begin where :
Integrate with the correct logarithm
The absolute value allows either sign of . Differentiating along a nonzero branch gives .
Apply the initial condition
At , , so . On the branch through this point, is positive. Hence
More generally, exponentiating the logarithmic relation gives with a nonzero signed constant . The value is justified separately by the equilibrium check, not by claiming . With it included, this family covers the equilibrium as well.
Verify the equation and the interval
The solution is defined and differentiable for every real , and . Its maximal interval is . There is no lost crossing through the divided-out value in this solution.
Try a changed initial value: what if ? The answer is , still defined on . A negative value of is allowed. It is precisely why the absolute value and signed constant matter.
4. Interpret a growth model
In a simplified continuous model, a community has population , measured in people, at time , measured in years. Suppose the growth rate is proportional to its current population:
The coefficient has units ; therefore the right side has units people per year. It is a constant relative growth rate, not an addition of 0.04 people per year.
First, is an equilibrium. For the positive initial population, separation gives . A definite-integral form makes the initial value especially clear:
The ratio inside the logarithm is dimensionless. Direct differentiation returns , and substitution at zero returns 1500. The formula is mathematically defined for all real time; the stated forward model uses .
The doubling time satisfies , so
After one year the multiplier is . A continuous relative rate of 0.04 per year therefore gives an effective one-year increase of about 4.081%, rather than exactly 4%.
The model predicts unbounded growth as . That is a property of the assumptions. It is not evidence that a real population can grow without limits.
5. Keep the interval containing the initial point
A formula may solve an equation on several disconnected intervals. An initial-value solution belongs on an interval containing its initial input; it cannot jump over a singularity.
Consider
The equilibrium does not meet the initial value. For , separation and integration give
The initial condition yields , so
Its derivative is , but the formula is undefined at . The maximal solution interval containing zero is . For forward time, it is . The expression also satisfies the equation on , but that separate branch is not a continuation through the infinite blow-up.
Check three things: restrictions already in the original equation, restrictions introduced while solving, and the selected solution’s own singularities. These may differ. For example, excludes in the original equation; multiplying by does not make zero an admissible equilibrium.
6. Optional extension: growth with a limiting population
Use this section if logistic growth is in your assigned material or you want a further application. The official Dawson evidence establishes separation of variables, not logistic growth in every section.
Suppose a simplified population model uses
Time is measured in years, population in people, and 600 people is the model’s carrying capacity. The coefficient 0.3 has units . The extra factor reduces the relative growth rate as the population approaches 600.
Find the equilibria and the sign
Both and are equilibrium solutions. For , the right side is positive. For , it is negative. These signs predict growth below capacity and decline above it. At either equilibrium, , so division by this product is invalid.
Separate on the branch between the equilibria
For ,
Check the identity by combining the fractions. The second antiderivative has a minus sign because :
Here the ratio is positive and dimensionless. The initial value gives . Thus
The denominator is positive for every real , and the formula stays strictly between zero and 600. It therefore validates the branch used in separation. Its mathematical interval is ; the forward population model uses .
Check and interpret
Writing temporarily,
Also , and as . It approaches capacity without reaching it at any finite time. It reaches 300 people when , or years. For comparison, the exponential model with the same initial value and coefficient would be , with no capacity limit. Its coefficient is the same, but its initial absolute growth rate is 30 people per year; the logistic model starts at 25.
The explicit formula derived by dividing misses . The family recovers when , but both equilibria must still be checked directly. For other initial values, inspect the denominator and interval again; do not carry this positive-denominator conclusion over automatically.
7. Check your reasoning and practise
Before calling a solution complete, ask:
- Did the equation really separate, on the original domain?
- Which factors did I divide by, and which constant solutions did I check separately?
- Did I integrate with the correct variable and keep logarithm absolute values where needed?
- Does the initial value select a sign or branch?
- Do the function and its derivative satisfy the original equation on the stated interval?
- Does my interpretation distinguish the mathematical formula from the model’s intended range?
The examples here have smooth right-hand sides near their initial data. For less regular equations, separate branches can sometimes join an equilibrium, so separation plus a list of constant solutions is not a universal proof that every solution has been found. An initial value also needs an existence-and-uniqueness check before you claim uniqueness in general.
Try six progressive questions with changed retries. If you are reviewing Dawson 201-MA2-DW, bring your separation step, initial condition and interval to a course tutoring session.
Further reading
These examples and explanations are original. For standard background, see OpenStax Calculus Volume 2: separable equations and the logistic equation.
Useful for
Dawson’s catalogue includes differential equations in 201-MA2-DW. Official 2025 finals explicitly use separation of variables. Match practice to the current section outline. Logistic growth is an optional extension, not verified as mandatory course content.
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