Homogeneous linear differential equation with constant coefficients: Difference between revisions
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<math>y^{(k)} + p_{k-1}y^{(k-1)} + \dots + p_1y' + p_0y = 0</math> | <math>y^{(k)} + p_{k-1}y^{(k-1)} + \dots + p_1y' + p_0y = 0</math> | ||
where <math>p_0,p_1,\dots,p_{k-1}</math> are all constants (i.e., real numbers). | where <math>p_0,p_1,\dots,p_{k-1}</math> are all constants (i.e., real numbers). Here <math>y</math> is the dependent variable and <math>x</math> (which does not appear explicitly above) is the independent variable with respect to which the differentiations occur. | ||
===Solution method=== | ===Solution method=== | ||
Revision as of 23:45, 6 July 2012
Definition
A homogeneous linear differential equation with constant coefficients, which can also be thought of as a linear differential equation that is simultaneously an autonomous differential equation, is a differential equation of the form:
where are all constants (i.e., real numbers). Here is the dependent variable and (which does not appear explicitly above) is the independent variable with respect to which the differentiations occur.
Solution method
Consider the following polynomial:
This polynomial is called the characteristic polynomial of the differential equation. We consider various cases:
| Case | Solution in that case |
|---|---|
| The polynomial has pairwise distinct real roots | The solution space has basis . In other words, the general solution is where are freely varying real parameters. |
| The polynomial splits completely into linear factors over the reals, but with possible repetitions. occurs times, occurs times, and so on till , which occurs times. We have . | The solution space has basis all functions of the form where with an integer. Thus, for each , there are basis vectors corresponding to . We get a total of basis vectors. |
| The polynomial splits completely over the complex numbers into distinct linear factors, but some of the roots are not real | For any real root , use as a basis vector. Non-real roots occur in complex conjugate pairs. For a pair , choose the vectors and . Combining, we get a basis of vectors. |
| The general case | For a real root of multiplicity , the basis vectors are . For a pair of complex conjugates of multiplicity , the basis vectors are and . |