Well, it's a method to approximately solve anything! Specifically, it is a method to approximately solve non-linear equations, in particular functional equations like differential equations or integral equations. The "WKB" method used in quantum mechanics is a perturbation method.
The basic idea of "perturbation" theory is to write the solution to your problem (typically, a differential equation or integral equation although it will work for other kinds of problems) as a power series, y= y_0+ \epsilon y_1+ \epsilon^2 y_2+ \cdot\cdot\cdot where "\epsilon" is some small number inherent in your problem. Write out both sides of your equation as power series in \epsilon and set coefficients of the same powers of \epsilon equal. The \epsilon^0 term gives the solution to the approximate linear problem, y_0, and the other equations will give solutions in terms of previous solutions- that is, y_1, y_2 in terms of y_0 and y_1, etc.
Here's a trivial example: Imagine that we know how to solve equations of the form x^2= a by just taking the square root but we don't know the "quadratic formula".
Now, we want to solve the equation x^2+ \epsilon x- 4= 0 where \epsilon is a very, very small (positive) number. We could argue that since \epsilon is small, that equation is very nearly x^2= 4 which has solutions 2 and -2 and so our equation must have solutions very close to 2 and -2.
Is that true? If it is, how could we prove it is true? And how could we use that information to get a better approximation to the true solution?
Let x= x_0+ x_1\epsilon+ x_2\epsilon^2+ \cdot\cdot\cdot, a power series in \epsilon. We will assume that \epsilon is small enough that we can ignore \epsilon^3 (assuming that \epsilon was small enough to ignore \epsilon^1 would give y_0 the linear solution).
If x= x_0+ x_1\epsilon+ x_2\epsilon^2, then x^2= x_0^+ 2x_0x_1\epsilon+ 2x_0x_2\epsilon^2+ x_1^2\epsilon^2 where I have dropped the terms 2x_1x_2\epsilon^3 and x_2^2\epsilon^4 since they are of higher than second dergee.
x^2+\epsilon x- 4, then is x_0^2+ 2x_0x_1\epsilon+ 2x_0x_2\epsilon^2+ x_1^2\epsilon^2+ x_0\epsilon+ x_1\epsilon^2- 4 where I have dropped the term x_2\epsilon^3 from \epsilon x as it is, again, of higher than degree 2.
The equation becomes (x_0^2- 4)+ (2x_0x_1+ x_0)\epsilon+ (2x_0x_2+ x_1^2)\epsilon^2= 0. Equating corresponding components, we have x_0^2- 4= 0, 2x_0x_1+ x_0= x_0(2x_1+ 1)= 0 and 2x_0x_2+ x_2^2= 0.
x_0^2- 4= 0 gives x_0= 2 or x_0= -2. Since that is not 0, we can divide both sides of x_0(2x_1+ 1)= 0 by x_0 and get x_1= -\frac{1}{2} for both values of x_0.
If x_0= 2 and x_1= -1/2, then the third equation is 4x_2+ \frac{1}{4}= 0 so x_2= -1/16.
If x_0= -2 and [iterx]x_1= -1/2[/itex], then the third equation is -4x_2+ \frac{1}{4}= 0 so x_2= 1/16.
That is, our two solutions are x= 2- (1/2)\epsilon- (1/16)\epsilon^2 and x= -2- (1/2)\epsilon+ (1/16)\epsilon^2.
If, for example, \epsilon= .001, then those solutions are 2- .0005- 0.0000000625= 1.9994999375 and -2- .0005+ 0.0000000625= -2.0004999375.<br />
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We can use the quadratic formula (which we were pretending we did not know) to actually solve x^2+ .001x- 4= 0, getting x= (-.001\pm\sqrt{0.000001+ 16})/2[/quote] which gives x= 1.99950006 and -2.00050006 so what we got using &quot;perturbation theory&quot; was certainly better than 2 and -2 and also show that 2 and -2 <b>are</b> good first approximations.<br />
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A equation of the form \epsilon x^2+ 2x- 4= 0 is a much harder problem. Here, just ignoring \epsilon, the equation becomes 2x- 4= 0 which has the <b>single</b> solution x= 2 while we expect a quadratic equation like this to have two solutions. For this problem we need &quot;singular perturbation&quot; which is a whole different story!