”± Order and Degree
Order”GHighest derivative
Degree”GHighest power of the highest derivative
Example
”± First Order D.E.
Variable
Separable
|
Homogeneous
|
Linear
First Order
|
|
Pattern | |||
Solving Technique |
Separate x and y
from both sides completely. |
Let , then
Yield |
By integrating factor and the solution is |
Further technique”GInspection (e.g. you should know xdy/dx + y is d(xy)/dx immediately) and Substitution |
”± Typical Examples of First Order D.E.
Variable Separable”Ge.g. Rate of change of y is directly proportional to y.
Solution |
=> =>
If initial condition t = 0, y = C0 is given, we have |
Homogeneous”Ge.g. Fraction in Linear Polynomials (Can be converted into homogeneous type.)
Type A”@A:B = D:E Coeffs. in proportion | Type B”@A:B ”Ś D:E Coeffs. not in proportion | |
Technique”GLet u = Ax + By”Aconvert the DE involves u and x only. | Technique”GLet x = u + h”Ay = v + k”Afind h, k to convert the DE into DE involves u and v such that no constant terms occur in the fraction. | |
Example | Example | |
Solution | Solution | |
Let ,
then and the DE will be hence
i.e. |
Let ,
then ,and
the DE will be , to make homo., set , having h = 2”Ak = ”Š1, hence and the DE will be homogeneous, Let , then , and DE will be ”@(Partial fraction) |
Linear First Order”Ge.g. Bernoull's Equation after suitable transformation.
Solution |
If
, then
, the DE will be
=> (Linear First Order) Integrating factor: The solution is Hence |
”± Linear Second Order D.E.
Homogeneous”G”@”@
(a, b, c are constants with a is non-zero)
Non-Homogeneous”G
(f(x) is non-zero function)
”± Solving Homogeneous Linear Second Order D.E.
Step 1”GSolve the auxiliary equation |
Hence = , |
Step 2”GWrite down the solution according to the following three cases. | ||
Distinct
real roots ,
|
Equal
roots
=
=
|
Complex
roots ,
=
|
Solution”G |
Solution”G or |
Solution”G or |
”± Solving Non-Homogeneous Linear Second Order D.E.
Step 1”GSolve the homogeneous DE. Obtain the solution yc. |
Step 2”GGuess a particular solution yp by the method of undetermined coefficients. |
By observing
f(x), we can guess out yp easily in the following
ways:
|
f(x)
|
yp
|
|
Exponential
|
||
Polynomials
|
||
Sine and Cosine
|
or
|
Step 3”GModification for yp ? |
If there is an expression in the guessing yp occurs in yc, just multiply the guessing yp by x. Continue this "multiplication process" until no term in yp occurs in yc. |
Step 4”GSubstitute yp into the original DE to determine the coefficients in the yp. |
Step 5”GThe general solution to the DE is y = yc + yp. |
”± Typical Examples of Linear Second Order D.E.
Example 1”GSolve .
Step 1”GSolve |
=> =
1, 2 => yc =
|
Step 2”GGuess yp. |
Since R.H.S.
= ex, we guess yp = Cex.
|
Step 3”GModify yp. |
Since ex
occurs in yc, we need to modify yp
as yp = Cxex.
|
Step 4”GDetermine coefficients in yp. |
Let yp
= Cxex, then
and ,
substitute them back to the original DE, , hence C = 1, yield yp = xex. |
Step 5”GWrite down the general solution y = yc + yp. |
i.e.
|
Example 2”GSolve .
Step 1”GSolve |
Step 2”GGuess yp. |
Beware! R.H.S.
involves cos2x NOT cosx. We need to use
. Hence the DE will be ,
thus .
|
Step 3”GModify yp. |
Not necessary.
|
Step 4”GDetermine coefficients in yp. |
, ,
sub. back to the original DE, we have =>, and => |
Step 5”GWrite down the general solution y = yc + yp. |
i.e.
|
Example 3”GSolve . (Hint: let .)
Try to convert the independent
variable t into u through the transformation
. Aim at writing , into something involves , . First of all, , hence . Now, and --- (*) It's very easy to obtain . And it's trivial to guess , consequentially, and . Substitute into (*), , yield , thus ; therefore the general solution to the original DE is , i.e. |