FP2 6.1, 6.2 - First-order recurrence relations
Turn a rule for the next term into a formula for any term (FP2 6.1, 6.2). You will combine complementary functions and particular solutions, handle changing coefficients, and interpret a population model.
From a next-term rule to a closed form
A population model keeps of its population each year and adds newcomers. Starting from , can it ever reach ? Generating terms gives clues; a formula for the term after any number of years will settle it.
You already know
An index labels a term, so means the term after , whereas means add one to its value. Powers satisfy . We will state the starting index each time.
For instance, gives . This is a rule for building the sequence, rather than a formula that jumps straight to its hundredth term.
First-order recurrence relation
A first-order recurrence determines a new term using the preceding term. The linear form
has specified functions and one initial value. A closed form expresses directly in terms of , without unknown earlier terms. For example, is a closed form for the sequence above.
For , split the work. A particular solution, , satisfies the full equation. A complementary function, , satisfies the associated homogeneous equation . Their sum satisfies the full equation because the homogeneous contribution cancels.
Constant coefficient and constant forcing
For , starting at , with , set
Here is a constant particular solution and . For , use
For , every term after the initial term equals ; keep the supplied initial term separately.
Not in the formula booklet: learn it.
Subtracting from the recurrence gives . Each step multiplies the displacement from by , which explains the power.
Worked example 1: use the given starting index
Question. Determine a closed form for , , for .
Plan. Find a constant particular solution, add the complementary function, then use the value at index .
Why this step? Using makes the exponential equal to at the supplied starting index.
Answer. , for .
Check. The formula gives , , and .
Change only the initial value; the recurrence and its particular solution stay the same.
Worked example 2: another member of the same family
Question. Determine the closed form when , .
Plan. Keep the complementary function and particular solution, then apply the new initial value.
Why this step? Initial conditions select the constant; they do not change the homogeneous multiplier.
Answer. , for .
Check. and .
The constant is also called a fixed point: a sequence starting exactly there stays there. A fixed point need not attract nearby sequences; here errors from double.
Watch out
Writing for the second example gives , not . Either use , or use and solve . Keep the index and constant together.
Change just the starting value again.
Choose a particular solution for a polynomial input
The right side need not be constant. For , try a polynomial of the same degree when , and compare coefficients after replacing every by .
Polynomial forcing and the unit multiplier
For constant , a polynomial right side of degree admits a polynomial particular solution of degree at most . Include all lower powers in the trial.
When , the left side is the difference : differencing lowers a nonconstant polynomial's degree by one, so a degree- input needs a degree- trial. Its arbitrary constant is absorbed into the complementary function.
Not in the formula booklet: learn it.
For example, gives . This is why a constant input with multiplier needs a linear particular solution.
Worked example 3: a linear input
Question. Solve , , for .
Plan. Try , compare coefficients and then add .
Why this step? A trial alone cannot cancel the constant produced when becomes .
Answer. , for .
Check. The first values are ; the next-term rule gives .
Double only the right side, keeping the coefficient and initial value unchanged.
Worked example 4: scale the input
Question. Solve , .
Plan. Use a complete linear trial again and apply the same initial index.
Why this step? The particular solution doubles, and the initial condition then changes the complementary constant too.
Answer. .
Check. , , and .
For a quadratic input, start with ; solve its coefficients before applying the initial value.
Watch out
The wrong line shifts the value rather than the index. The correct line is . Substitute into every occurrence of the index before expanding.
Scale the input once more.
When an exponential trial meets the complementary function
For an exponential input , a multiple of is the natural trial. Check first whether it already solves the homogeneous equation.
Exponential input
For , with , try
If , substitution gives .
If , the trial cancels identically. Instead use
The extra factor removes the overlap with the complementary function. This overlap is often called resonance.
Not in the formula booklet: learn it.
The rule comes from substituting into the recurrence, rather than from dividing by a coefficient that might be zero.
Worked example 5: distinct input and homogeneous multipliers
Question. Solve , .
Plan. Try , then add the complementary function and use the initial condition.
Why this step? is independent of the homogeneous term , so the simple exponential trial can work.
Answer. .
Check. , and .
Change only the input base from to . It now matches the homogeneous multiplier.
Worked example 6: repair the overlapping trial
Question. Solve , .
Plan. Replace the cancelled trial by .
Why this step? Multiplication by creates a nonzero difference where a plain multiple of would give zero.
Answer. .
Check. , , and .
Continue this lesson.
You’re previewing NovaLearn without an account. Create a free account to read the rest.
Create free account