FP1 3.1 - Series solutions of differential equations
Construct a local Taylor solution from a differential equation and its initial conditions, even when an explicit solution is unavailable (FP1 3.1). You will generate higher derivatives, expand about the correct centre and use Leibniz's theorem to turn repeated differentiation into a recurrence.
The equation supplies the missing derivatives
Can a differential equation tell you the first five terms of its solution without telling you the solution itself? For , knowing only immediately gives . Differentiating the equation gives the next derivative, and the process continues.
The initial condition starts a derivative ladder: each differentiated equation supplies information needed for the next rung. Differentiate while is still a variable; substitute the expansion point afterwards. Substituting too early would erase products whose derivatives matter.
You already know
Taylor coefficients are derivative values divided by factorials: for powers of . A truncation is generally a local approximation; the series must represent the solution where it is used. Leibniz's theorem handles repeated product differentiation.
For an expansion at zero, the standard assembly is supplied; the differential equation's job is to produce its derivative values.
Maclaurin assembly from derivative values
Where the series represents the solution,
The coefficients are fixed once the required initial derivatives have been determined.
In the formula booklet.
Keep the derivative values and the coefficients in separate rows if necessary. For instance, means a coefficient , not a coefficient .
Worked example 1: a first-order derivative ladder
Question. Given and , find the Maclaurin series solution up to and including .
Plan. Differentiate the equation three times, evaluate the derivative values at zero, then divide by factorials.
At zero,
Thus
Why this step? The equation provides derivative values in sequence; Taylor's factorials then convert those values into coefficients.
Answer. .
Check. The known function satisfies both the equation and initial condition, and its exponential expansion has the same coefficients.
Change only the initial value to . The same derivative relations now make every derivative from the second onward vanish.
Worked example 2: a series that terminates
Question. Given and , find the series through , and determine whether it gives an exact polynomial solution.
Plan. Use the same derivative ladder with the new starting value, then substitute the resulting polynomial into the original equation.
Why this step? A zero derivative is a value to propagate through the differentiated equations, not a reason to shift subsequent coefficients into lower powers.
Answer. Through , the series is . In fact, is an exact solution.
Check. For that polynomial, and , with . Every higher coefficient is zero.
Most finite Taylor polynomials do not satisfy the full equation exactly. This example is special because direct substitution verifies that the polynomial itself is a solution.
Watch out
Wrong: inserting the derivative value as . Right: divide by , giving . Keep derivative values separate from series coefficients.
Start the same ladder from another initial value.
Differentiating nonlinear terms before substitution
A nonlinear differential equation can still supply Taylor derivatives; the chain and product rules replace the need for an explicit solution.
For , differentiation gives
The derivative of has two contributions. Even if happens to be zero at the expansion point, differentiate the product before using that value. These relations depend on this equation and are not supplied formulae.
Worked example 3: a nonlinear second-order equation
Question. Given , and , find the series solution through .
Plan. Use the original equation for , differentiate twice for the next values, then assemble the series.
Therefore
Why this step? The absent linear term comes from the given zero slope; the non-zero cubic term is still present because the equation itself depends on .
Answer. .
Check. Differentiating the polynomial twice gives , while has the same terms through , the orders determined by a quartic truncation.
Change only the initial slope from zero to one. The squared-slope contribution to the fourth derivative now matters.
Worked example 4: a non-zero initial slope
Question. Given , and , find the series through .
Plan. Keep the differentiated equations unchanged and insert the new slope into each derivative value.
Hence
Why this step? Omitting would halve the fourth derivative here, even though it caused no visible error in the previous zero-slope case.
Answer. .
Check. The second derivative starts ; expanding gives those same coefficients through .
A truncated second-order series loses two powers when differentiated twice. Check the equation only through the orders your computed terms can determine; higher residual terms need higher Taylor coefficients.
Watch out
Wrong: . The product rule also gives . Right: , even if one contribution later vanishes at a particular initial point.
Change the initial height while restoring the zero slope.
Taylor solutions about a non-zero point
For an initial point , use the same derivative method but evaluate every relation at and write powers of .
A factor does not disappear when the centre is non-zero. For
the first differentiated relations are
The additional multiples arise from differentiating in the products. Only after writing these identities should you insert the initial point.
Shifted Taylor assembly
For , where the Taylor series represents the solution,
The booklet's printed Maclaurin version has ; this shifted form is its previously learnt extension.
Not in the formula booklet: learn it.
Do not replace by the coordinate . The expansion centre and the initial function value are different pieces of information.
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