Skip to content
Mar 11

ODE: Repeated Roots and Reduction of Order

MT
Mindli Team

AI-Generated Content

ODE: Repeated Roots and Reduction of Order

When solving the differential equations that model vibrating systems, electrical circuits, or control theory, you often encounter a snag: the characteristic equation yields the same root twice. This "repeated root" case isn't just a minor exception; it's a fundamental scenario where the standard method of finding two independent solutions fails. Mastering how to handle it—through a modified general solution and the powerful reduction of order technique—is crucial for analyzing systems with critical damping or other degenerate behaviors.

The General Solution for Repeated Roots

Consider a homogeneous, second-order linear ODE with constant coefficients: $$a y'' + b y' + c y = 0$$ The standard approach is to assume a solution of the form $y = e^{rt}$, leading to the characteristic equation $a r^2 + b r + c = 0$. When the discriminant $b^2 - 4ac$ is zero, this equation has a single repeated root $r = r_1$.

If you only used $y_1 = e^{rt}$, you would have just one fundamental solution, which is insufficient to construct the general solution. To find a second, linearly independent solution, we employ a clever guess, informed by the method of reduction of order (which we will derive next). The result is that the second solution takes the form $y_2 = t e^{rt}$. Therefore, the general solution for the repeated root case is: $$y(t) = (c_1 + c_2 t)e^{rt}$$ where $c_1$ and $c_2$ are arbitrary constants. The term $t e^{rt}$ is linearly independent from $e^{rt}$ because no constant multiple of $e^{rt}$ can produce the extra factor of $t$. This solution is non-oscillatory and represents a critically damped response in physical systems, where the system returns to equilibrium as quickly as possible without overshooting.

Derivation of the Reduction of Order Method

Reduction of order is a powerful, general method for finding a second solution to a homogeneous linear ODE when one solution $y_1(t)$ is already known. Its derivation is elegant and provides the theoretical backbone for the $t e^{rt}$ solution.

Given a second-order linear ODE in standard form: $$y'' + p(t)y' + q(t)y = 0$$ and one known solution $y_1(t)$, we guess that a second solution has the form: $$y_2(t) = v(t) y_1(t)$$ where $v(t)$ is an unknown function to be determined. We substitute $y_2$ into the ODE. First, compute the derivatives: $$y_2' = v' y_1 + v y_1'$$ $$y_2'' = v'' y_1 + 2v' y_1' + v y_1''$$ Substituting these into $y_2'' + p(t)y_2' + q(t)y_2 = 0$ and grouping terms yields: $$v'' y_1 + v'(2y_1' + p y_1) + v(y_1'' + p y_1' + q y_1) = 0$$ The critical observation is that the coefficient of $v$ is precisely the original ODE applied to $y_1$, which equals zero because $y_1$ is a solution. This simplifies the equation dramatically: $$y_1 v'' + (2y_1' + p y_1) v' = 0$$ Now, let $w = v'$. This transforms the equation into a first-order linear ODE for $w$: $$y_1 w' + (2y_1' + p y_1) w = 0$$ or $$w' + \left( \frac{2y_1'}{y_1} + p \right) w = 0$$ This is a separable equation. Solving it gives us $w(t)$, and integrating $w$ gives us $v(t)$. The beauty is that the formula for $v(t)$ will always produce a second, linearly independent solution. For the constant-coefficient, repeated-root case where $y_1 = e^{rt}$ and $p$ is constant, this process directly yields $v(t) = t$, confirming our earlier result $y_2 = t e^{rt}$.

Applying Reduction of Order When One Solution is Known

The derivation provides the theory, but applying reduction of order is a straightforward, four-step process. Let's walk through a concrete example where the ODE does not have constant coefficients.

Example: Given that $y_1 = t$ is a solution to $t^2 y'' + t y' - y = 0$ for $t > 0$, find the general solution.

  1. Write the ODE in standard form: Divide by $t^2$.

$$y'' + \frac{1}{t}y' - \frac{1}{t^2}y = 0$$ Here, $p(t) = 1/t$ and $q(t) = -1/t^2$.

  1. Apply the formula for $v(t)$: From our derivation, we have $w' + (2y_1'/y_1 + p) w = 0$.

Since $y_1 = t$, then $y_1' = 1$. Substitute $y_1$, $y_1'$, and $p(t)$: $$w' + \left( \frac{2(1)}{t} + \frac{1}{t} \right) w = w' + \frac{3}{t} w = 0$$

  1. Solve the first-order ODE for $w$: This is separable: $dw/w = - (3/t) dt$.

Integrating: $\ln|w| = -3 \ln|t| + C$. We only need one non-trivial $v$, so we choose the simplest particular solution by setting the constant $C=0$: $$w = t^{-3}$$ Since $w = v'$, we have $v' = t^{-3}$.

  1. Integrate to find $v$ and form $y_2$:

$$v = \int t^{-3} dt = -\frac{1}{2} t^{-2}$$ Therefore, the second solution is $y_2 = v y_1 = (-\frac{1}{2} t^{-2}) \cdot t = -\frac{1}{2} t^{-1}$. The factor of $-\frac{1}{2}$ can be absorbed into the arbitrary constant, so we simply take $y_2 = t^{-1}$.

The general solution is a linear combination of the two independent solutions: $y(t) = c_1 t + c_2 t^{-1}$.

Abel's Formula for the Wronskian

A deep connection between the solutions of a linear ODE and the coefficients of the equation is provided by Abel's formula (also known as Abel's identity). It gives you a direct way to compute the Wronskian $W(t)$ of two solutions without even knowing the solutions explicitly, only that they exist.

For the second-order linear ODE in standard form, $y'' + p(t)y' + q(t)y = 0$, if $y_1$ and $y_2$ are solutions, then their Wronskian $W(t) = y_1 y_2' - y_2 y_1'$ is given by: $$W(t) = C e^{-\int p(t) dt}$$ where $C$ is a constant that depends on the choice of fundamental set of solutions.

Why it matters: The Wronskian tests for linear independence ($W \neq 0$). Abel's formula proves that for these ODEs, the Wronskian is either always zero (if $C=0$, meaning the solutions are dependent) or never zero (if $C \neq 0$). It also provides a quick check on your work. In our repeated root constant-coefficient example where $p(t)$ is a constant $b/a$, Abel's formula gives $W(t) = C e^{-(b/a)t}$, which is indeed non-zero for $C \neq 0$, confirming the independence of $e^{rt}$ and $t e^{rt}$.

Common Pitfalls

  1. Forgetting the factor of 't' in the general solution. When you see a repeated root, the most common error is to write $y = c_1 e^{rt} + c_2 e^{rt}$. This is incorrect because these two functions are linearly dependent. You must remember the modified form: $y = (c_1 + c_2 t)e^{rt}$.
  1. Misapplying reduction of order by forgetting standard form. The formula $w' + (2y_1'/y_1 + p)w = 0$ requires the ODE to be in the form $y'' + p(t)y' + q(t)y = 0$. If you apply it directly to $a(t)y'' + b(t)y' + c(t)y = 0$, your calculation for $p(t)$ will be wrong. Always divide through by the leading coefficient first.
  1. Incorrectly integrating or simplifying during reduction of order. The step from $w' + f(t)w = 0$ to $w = \exp(-\int f(t) dt)$ is straightforward but prone to sign errors and mistakes in the integration of $f(t)$. Work slowly and check that your $y_2$ indeed satisfies the original ODE.
  1. Ignoring the domain when applying Abel's formula. The formula $W(t) = C e^{-\int p(t) dt}$ is valid on any interval where $p(t)$ is continuous. If your problem involves a $t$ value where $p(t)$ is discontinuous (like $t=0$ in an ODE with $p(t)=1/t$), you must consider solutions on separate intervals where the theory holds.

Summary

  • For a constant-coefficient ODE with a repeated root $r$ of the characteristic equation, the general solution is $y(t) = (c_1 + c_2 t)e^{rt}$. The term $t e^{rt}$ provides the necessary second, linearly independent solution.
  • The reduction of order method is a universal technique derived by substituting $y_2 = v(t) y_1(t)$ into the ODE. It systematically reduces the problem to solving a first-order linear equation for $v'$.
  • When applying reduction of order, the critical workflow is: (1) Put the ODE in standard form, (2) Substitute into the derived formula for $v'$, (3) Solve the resulting first-order equation, and (4) Integrate to find $v$ and construct $y_2$.
  • Abel's formula, $W(t) = C e^{-\int p(t) dt}$, provides a direct link between the coefficient $p(t)$ and the Wronskian of two solutions, serving as a powerful theoretical tool and a useful check for consistency.

Write better notes with AI

Mindli helps you capture, organize, and master any subject with AI-powered summaries and flashcards.