Mathematica Minor mathematical query from Griffiths [QM]

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The discussion centers on the analytic method for solving the quantum harmonic oscillator equation. The transformation of variables leads to a second-order differential equation for a function h(ζ), which is expressed as a power series. A recursion formula is derived, but confusion arises regarding the behavior of the coefficients a_j for large j, particularly when considering odd values of j. The participants debate the implications of approximating the coefficients and the validity of the factorial notation for large j. The Gamma function is mentioned as a generalization of factorials, suggesting a deeper mathematical connection. The conversation highlights the challenges in accurately approximating the series solution and the importance of considering all terms in the recursion for precise results.
maverick280857
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Hello all,

I am trying to understand the analytic method for the solution of the (quantum) harmonic oscillator equation.

-\frac{\hbar^2}{2m}\frac{d^2\psi}{dx^2} + \frac{1}{2}m\omega^{2}x^{2}\psi = E\psi

Let

\zeta = \sqrt{\frac{m\omega}{\hbar}}x

K = \frac{2E}{\hbar\omega}

We consider

\psi(\zeta) = h(\zeta)e^{-\zeta^{2}/2}

The equation transforms to,

\frac{d^2 h}{d\zeta^2} - 2\zeta\frac{dh}{d\zeta} + (K-1)h = 0

Assuming the power series solution,

h(\zeta) = \sum_{j=0}^{\infty}a_{j}\zeta^{j}

we get the recursion formula,

a_{j+2} = \frac{2j+1-K}{(j+1)(j+2)}a_{j}

For large j,

a_{j+2} \cong \frac{2}{j}a_{j}

So,

a_{j+2} \cong \frac{2}{j}\frac{2}{(j-1)}\frac{2}{(j-2)}\ldots\frac{2}{1}a_{1}

which simplifes to

a_{j+2} \cong \frac{2^j}{j!}a_{1}

But the solution given is

a_{j} = \frac{C}{(j/2)!} = C \frac{1}{(j/2)}}\frac{1}{((j/2)-1)}\ldots\ldots

I think I am missing something here. What am I doing wrong? Also, I know that the (j/2)! is just notation but what if the "large j" include some possibly odd values? In that case it wouldn't even be defined. Thanks for your help.

EDIT: 800th post...yay
 
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Because the index of a is j + 2, I think

maverick280857 said:
<br /> a_{j+2} \cong \frac{2}{j}\frac{2}{(j-1)}\frac{2}{(j-2)}\ldots\frac{2}{1}a_{1}

should, for odd j, actually be something like

<br /> a_{j+2} \cong \frac{2}{j} \frac{2}{ \left(j - 2 \right)} \frac{2}{\left( j - 4 \right)} \ldots \frac{2}{1} a_{1} \cong \frac{1}{j/2 \left( j/2 - 1 \right) \left( j/2 - 2 \right) \ldots 1/2} a_{1}.<br />

For real numbers, the Gamma function generalizes the factorial function.

Regards,
George
 
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George Jones said:
Because the index of am is j + 2, I think



should, for odd j, actually be something like

<br /> a_{j+2} \cong \frac{2}{j} \frac{2}{ \left(j - 2 \right)} \frac{2}{\left( j - 4 \right)} \ldots \frac{2}{1} a_{1} \cong \frac{1}{j/2 \left( j/2 - 1 \right) \left( j/2 - 2 \right) \ldots 1/2} a_{1}.<br />

For real numbers, the Gamma function generalizes the factorial function.

Regards,
George


Thanks again George! I'll look this up.
 
maverick280857 said:
Assuming the power series solution,

h(\zeta) = \sum_{j=0}^{\infty}a_{j}\zeta^{j}

we get the recursion formula,

a_{j+2} = \frac{2j+1-K}{(j+1)(j+2)}a_{j}

For large j,

a_{j+2} \cong \frac{2}{j}a_{j}

So,

a_{j+2} \cong \frac{2}{j}\frac{2}{(j-1)}\frac{2}{(j-2)}\ldots\frac{2}{1}a_{1}
Your approximation fails with all the terms near the end of the product (ie: j not large). And these terms are significantly larger than terms in the beginning, so the error gets quite big. Or am I messing up ?
 
Gokul43201 said:
Your approximation fails with all the terms near the end of the product (ie: j not large). And these terms are significantly larger than terms in the beginning, so the error gets quite big. Or am I messing up ?

Yes I think you're right...I thought about it that way (interestingly this is obvious if you expand the "factorials"). But Griffiths has used the approximation anyway.
 

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