Wednesday, April 1, 2015

Latex testing post

Here is a place where we can test any latex (mathjax) type things.

\(\int_{-\infty}^{+\infty} A^2 e^{-x^2/a^2} x^2 dx \)

41 comments:

  1. $$KE = frac{p^{2}}{2m}$$. $p^{2}$ $frac{1}{2m}$

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    1. [IMG]http://i61.tinypic.com/161lx5y.png[/IMG]

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    2. [img]http://i61.tinypic.com/161lx5y.png[/img]

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  8. $$
    \frac{-A^2 \hbar^2}{2m} \int_{-\infty}^{+\infty} e^{-x^2/a^2} (\frac{x^2}{a^4} - \frac{2ikx}{a^2} - k^2 - \frac{1}{a^2}) dx
    $$

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  9. For 5.1(c), the momentum operator would be

    $$ \hat{p} =-i\hbar \frac{\partial}{\partial x} $$

    For the kinetic energy operator, it would be

    $$ \hat{KE} = \frac{hbar^{2}}{2m}\frac{\partial^{2}}{\partialx^{2}} $$

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  10. The kinetic energy operator: $$
    \hat{T}=\frac{{}\hat{p^{2}}}{2m}=\frac{-\frac{\partial^2 }{\partial x^2}\hbar^{2}}{2m}
    $$

    I think that the integral you're looking for is the following: $$
    E(T)=-\frac{A^{2}\hbar^{2}}{2m}\int_{-\infty}^{\infty}e^{-\frac{x^{2}}{a^{2}}}(\frac{x^{2}}{a^{4}}-k^{2}-\frac{2xik}{a^{2}}-\frac{1}{a^{2}})dx
    $$

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  11. I think he means this one:
    $$ n \approx kTD_(c)e^(-\frac(E_(c)-E_(f))(kT)$$

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  12. I think he means this one:
    $$ n \approx kTD_(c) e^(- \frac(E_(c)-E_(f))(kT)$$

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  13. I think he means this one:
    $$ n \approx kTD_{c}e^(-\frac(E_(c)-E_(f))(kT)$$

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  14. I think he means this one:
    $$ n \approx kTD_{c}e^{-\frac{E_{c}-E_{f}}{kT}}$$

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  15. Actually, this may be a good approximation:

    $$ E_{f} = frac{E_{c} + E_{v} + kTln(\frac{D_{v}}{D_{c}}}{2}

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  16. Actually, this may be a good approximation:

    $$ E_{f} = frac{E_{c} + E_{v} + kTln(\frac{D_{v}}{D_{c}}}{2} $$

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  17. Actually, this may be a good approximation:

    $$ E_{f} = \frac{E_{c} + E_{v} + kTln(\frac{D_{v}}{D_{c}}}){2}

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  18. Actually, this may be a good approximation:

    $$ E_{f} = \frac{E_{c} + E_{v} + kTln(\frac{D_{v}}{D_{c}}}){2}$$

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  19. Actually, this may be a good approximation:

    $$ E_{f} = \frac{E_{c} + E_{v} + kTln(\frac{D_{v}}{D_{c}})}{2}

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  20. $$ E_{f} = \frac{E_{c} + E_{v} + kTln(\frac{D_{v}}{D_{c}})}{2}$$

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  21. Actually, this may be a good approximation:

    $$ E_{f} = frac{E_{c} + E_{v} + kTln(\frac{D_{v}}{D_{c}})}{2} $$

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  22. Actually, this may be a good approximation:

    $$ E_{f} = \frac{E_{c} + E_{v} + kTln(\frac{D_{v}}{D_{c}})}{2} $$

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  23. \(int_{E_c}^{E_f}D(E)EdE = E_{total}\)

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  24. \(\int_{E_c}^{E_f}D(E)EdE = E_{total}\)

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  25. I think if you re-write \(n_\uparrow^2+n_\downarrow^2\) as \((n_\uparrow+n_\downarrow)^2 + (n_\uparrow-n_\downarrow)^2\) it comes out nicely.

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  26. $$\dbinom{n}{n_{down}} = frac{n!}{n_{down}!(n-n_{down}) = frac{n!}{n_{down}n_{up}}$$

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  27. $$\dbinom{n}{n_{down}} = \frac{n!}{n_{down}!(n-n_{down}) = \frac{n!}{n_{down}n_{up}}$$

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  28. $$\dbinom{n}{n_{down}} = \frac{n!}{n_{down}!(n-n_{down)!} = \frac{n!}{n_{down}!n_{up}!}$$

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  29. $$\dbinom{n}{n_{down}} = \frac{n!}{n_{down}!(n-n_{down}!} = \frac{n!}{n_{down}!n_{up}!}$$

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  30. $$\dbinom{n}{n_{down}} = \frac{n!}{n_{down}!(n-n_{down}!)} = \frac{n!}{n_{down}!n_{up}!}$$

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  31. $$\sum_{k=0}^{n}\binom{n}{k}$$

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  32. $$\Omega = \sum_{k=0}^{n}\binom{n}{k}$$

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