Let be the independent variable and write . The equation describes a quantity that decays in proportion to its size while a steadily growing input pushes it up. Solved for the derivative it reads , and that rate does not split into a factor of times a factor of , so separation does not apply. Multiplying by a well chosen function makes the left side the derivative of a product, and then a single integration solves the equation. This lesson builds that multiplier, the integrating factor, and shows on which interval the resulting solution is guaranteed.
Key terms
Linear first-order equation
Definition A first-order equation is linear if it can be written as
where the coefficients and and the input depend on alone and is not identically zero. The unknown and its derivative appear only to the first power, each multiplied by a function of . The equation is homogeneous when for all and nonhomogeneous otherwise. This meaning of homogeneous refers to the input, and it differs from the scaling meaning of a homogeneous first-order equation in a later lesson.
In plain words The left side adds and with weights that depend only on , and the right side is an input that depends only on . Nothing squares , multiplies by or puts inside another function.
Example The equation is linear, with , and . It is not separable. For two fixed times the ratio changes with , while a product of a function of and a function of would give a ratio that does not depend on . The equation is linear as well. The equations and are not.
Normalized linear form
Definition On an open interval where , dividing by gives the normalized linear form
with and . On a function solves the normalized equation exactly when it solves the original one, because division by a nonzero number can be undone. A point where is a singular point of the equation. Normalization is not available there, so each interval must avoid the singular points, and a solution that passes through a singular point has to be checked in the original equation.
In plain words Make the coefficient of equal to , and record the interval on which that division was allowed.
Example The equation has , which vanishes at . On each of the intervals , and its normalized form is
A problem with initial time is posed on , and one with on .
Derivative of a product
Definition For differentiable functions and the product rule gives
Multiplying the normalized equation by a differentiable function gives . Its left side equals for every differentiable exactly when
Then the equation reads , and the unknown appears only inside one derivative.
In plain words The product rule has the pattern . Multiplying by produces that pattern exactly when , and then the whole left side collapses into one derivative.
Example Multiply by . Since , the left side is
so the equation becomes . Multiplying by instead would give , which is not the derivative .
Integrating factor
Definition Let be continuous on an open interval and let be an antiderivative of on . The function
is an integrating factor for . It is positive and satisfies , so multiplying by turns the equation into , which has the same solutions because is never zero. If is also continuous on , a function on an interval inside is a solution exactly when
for some constant , where the integral stands for one fixed antiderivative of . Dividing by gives . A nonzero constant multiple is also an integrating factor, and cancels from the family of solutions.
In plain words The integrating factor is the exponential of an antiderivative of . Multiply by it, recognize the left side as , integrate and divide by .
Example Solve with . Here and , so . Integration by parts, differentiating and integrating , gives
Dividing by gives the general solution , and gives , so
As a check, and , which add up to . Two solutions differ by , which decays as increases, yet every solution approaches the line and grows without bound. The decay concerns the difference between solutions, not the solutions themselves.
Continuous coefficients
Definition Suppose and are continuous on an open interval , the time lies in and is any real number. Then the initial-value problem
has exactly one solution on , and that solution is defined on all of . A linear equation cannot blow up inside an interval where its normalized coefficients are continuous. For the original form with , and continuous, can be taken as the largest open interval containing on which . At a singular point the theorem says nothing, and an initial value there may have no solution, exactly one, or infinitely many.
In plain words As long as the coefficients of the normalized equation stay continuous, each starting value gives one solution, and that solution lasts across the whole interval.
Example Take , with as the independent variable and . The leading coefficient vanishes at . The left side is already a product derivative, , so on any interval every solution satisfies . On an interval inside or inside this gives
On an interval containing , setting in forces , so the only solution through is the constant . The equation at reads , so the problem with has exactly one solution and the problem with has none. The members with become unbounded as .
Definite-integral solution formula
Definition Under the hypotheses of the previous theorem, choose the integrating factor that equals at , and accumulate the input from onward,
Integrating from to and using gives the unique solution
valid for every in . The initial value enters the formula directly, so no arbitrary constant has to be fitted afterward. The term is the response to the initial value alone, and is the response to the input when the solution starts from .
In plain words Start the clock at . The initial value is carried forward by the factor , and the input is added up from onward.
Example Solve with . Here , and since has no elementary antiderivative, the definite integral is the natural answer,
It holds for every real , because and are continuous everywhere. By the fundamental theorem of calculus, , which confirms the solution. Numerically, .
Check yourself
- Solve with .
Show the answer
Here , so and . Integrating gives , so . The initial value gives , so
As a check, . The coefficients are continuous everywhere, so the solution holds for all real .
- A classmate multiplies by , reasoning that the coefficient of is . Explain why this fails, then solve the equation with and state the interval on which the solution is guaranteed.
Show the answer
The rule uses the coefficient of the normalized form, in which has coefficient . Here the coefficient of is , and the multiplied left side is not except at . On the normalized form is
so and . Then , and gives , so
The solution is guaranteed on , the largest interval containing on which and are continuous. It becomes unbounded as , so it cannot be continued past .
- For , find the solution with . Then decide for which values the problem with has a solution, and how many.
Show the answer
On the normalized form is , with . Then , so , and gives and . The theorem guarantees this solution on . In fact every satisfies the original equation for all real , since . A solution on has the form , so differentiability at forces , and the solution through continues across only as .
At the equation reads , so is necessary, and there is no solution when . When , every function is a solution, so there are infinitely many. The point is singular, and the existence and uniqueness theorem makes no claim there.