An initial position no longer determines a trajectory once the equation involves acceleration, and everything built for first order equations has to be redone.
Mechanics forces the change. Newton's second law relates force to the second derivative of position, so the equation for a mass on a spring is , and knowing where the mass is says nothing about where it goes next: it might be moving either way at any speed. Two numbers are needed, a position and a velocity, and that count is the visible signature of second order.
This lesson builds the structure that makes second order linear equations tractable. It produces no solutions at all, which is deliberate: the structure says how many solutions to look for and what to do once one is found, and the next lesson does the finding.
The operator and its linearity
Write the general second order linear equation in standard form, having divided by the coefficient of :
It is convenient to name the left side. Define , a rule that takes a twice differentiable function and returns another function. The equation is then , homogeneous when and otherwise driven by the forcing .
The one property that matters is that is linear:
which follows immediately from the derivative of a sum being the sum of derivatives, and from constants passing through derivatives. Everything in this lesson is a consequence of that identity, and nothing in it survives if the equation contains or .
The first consequence is the principle of superposition: if and both solve , then so does for any constants, since of that combination is . Solutions of the homogeneous equation can be added and scaled freely, which in the language of the linear algebra course makes them a vector space. The question that then decides everything is what its dimension is.
Existence and uniqueness, and what it buys
The relevant theorem is stronger than Picard's, precisely because linearity removes the possibility of blow-up. If , and are continuous on an open interval containing , then for any numbers and there is exactly one solution of on the whole of with and .
Three points. The interval is the whole of , not some unknown piece of it. Two numbers are required, matching the order. And uniqueness has an immediately useful corollary: a solution whose value and derivative both vanish at one point is identically zero, because the zero function is one solution with that data and there is only one.
The solution space has dimension exactly two
Take any two solutions , of the homogeneous equation, and ask when every solution can be written as .
Let be any solution, with and . We want constants making the combination match those two numbers:
Two linear equations in two unknowns. They have a solution for every right hand side exactly when the determinant of the coefficients is not zero, and that determinant is
called the Wronskian. If the constants exist, the combination agrees with in value and derivative at , and uniqueness forces the two functions to be the same everywhere. So every solution is a combination of the two, the pair is a fundamental set, and deserves the name general solution.
The dimension is therefore two, no more and no less: two because two constants are needed to meet arbitrary initial data, and no more because those two suffice. This is why a second order equation is solved once two independent solutions are found, and why finding a third is a sign of an algebra error rather than a discovery.
Abel's identity sharpens the test. Differentiating and using the equation to replace both second derivatives gives , a separable equation, so . The exponential is never zero, so either and the Wronskian vanishes identically, or it is never zero at all. Checking independence at one convenient point, usually , settles it for the whole interval.
Example. Show that and form a fundamental set for .
Both are solutions: differentiating twice multiplies each by , and the equation holds. The Wronskian is
which is never zero, so the pair is independent and is the general solution. Note that here, so Abel's identity predicts a constant Wronskian, which is what appeared.
Now you. Show that and form a fundamental set for , and compute the Wronskian.
Answer
Substituting gives and gives , so both solve it. The Wronskian is , never zero. Abel's identity agrees: , so is a constant times .
Fitting the initial conditions
With a fundamental set in hand, solving an initial value problem is two linear equations in two unknowns, every time.
Example. The general solution of is . Solve it with and .
Setting : . Differentiating, , so . Substituting into the second gives , so and . The solution is .
Now you. Same equation, with and .
Answer
and . Substituting gives , so and , and .
Reduction of order
Suppose one solution is known, by guesswork or from the physics. There is a systematic way to manufacture the second, due to d'Alembert: look for a solution of the form , with a function rather than a constant.
Substituting is a short calculation. With , and , so
The last bracket is , which is zero because solves the equation. That is the point of the method: the term in disappears, leaving an equation containing only and , which is a first order linear equation in the unknown and therefore already solvable by the integrating factor.
Example. Verify that solves for , and find a second independent solution.
Substituting gives , so it is a solution. Put . Then and , and the equation becomes
The terms in cancel, as promised. Dividing by leaves , so and . Taking , the second solution is , and the general solution is . Their Wronskian is , nonzero for .
Now you. Verify that solves , and find a second independent solution by reduction of order.
Answer
Substituting gives . With , and , so the equation becomes . Hence , , and the new solution is .
That last result is worth holding on to. An equation whose characteristic algebra will turn out to have a repeated root produces a second solution with an extra factor of , and reduction of order is where that factor comes from rather than being pulled out of a hat.
Adding forcing
Now let be present. Suppose is any single solution of , called a particular solution, and let be any other. Then by linearity
so the difference solves the homogeneous equation. Therefore every solution of the driven equation is
one particular response plus the general homogeneous solution, which is called the complementary function. This is the same split that appeared for first order equations as steady state plus transient, and it is now a theorem rather than an observation about one formula.
The practical consequences are two. The initial conditions must be applied to the whole expression, never to the complementary function alone, which is the single commonest error in this subject. And superposition extends to forcing: if and , then , so a complicated forcing can be split into pieces, each handled separately and the results added. A circuit driven by a battery and a sinusoid can be analysed twice and the answers summed, which is the whole basis of frequency domain engineering.
What is still missing
Nothing so far produces a single solution. The theory says that two independent ones exist, that the Wronskian recognises them, that a third would be redundant, and that reduction of order gets the second from the first. It does not say how to get the first.
For general and there is no method, and even innocuous cases have no elementary solutions: , the Airy equation, needs power series and defines new functions. But one case covers most of physics and all of elementary circuit theory, the case of constant coefficients, and there a single guess turns the differential equation into a quadratic. That is the next lesson.