this is for holding javascript data
Alisha Vira edited Appendix.tex
over 8 years ago
Commit id: b1b5724a668fdbae52cacbe67dd2b3e4765caf83
deletions | additions
diff --git a/Appendix.tex b/Appendix.tex
index 2ec3c10..4d1d5ab 100644
--- a/Appendix.tex
+++ b/Appendix.tex
...
$$E_{n}=n(E_{a}+\delta_{n})$$
$$\delta_{n}=n\frac{\lambda}{L} E_{a}$$
Plugging into:
$$\Delta_{E_{n}}=E_{n}-E_{n-1}$$
$$\Delta_{E_{n}}=n(E_{a}+\delta_{n})-(n-1)(E_{a}+\delta_{n-1})$$
$$\Delta_{E_{n}}=n(E_{a}+n\frac{\lambda}{L} $$\Delta E_{n}=E_{n}-E_{n-1}$$
$$\Delta E_{n}=n(E_{a}+\delta_{n})-(n-1)(E_{a}+\delta_{n-1})$$
$$\Delta E_{n}=n(E_{a}+n\frac{\lambda}{L} E_{a})-(n-1)(E_{a}+(n-1)\frac{\lambda}{L} E_{a})$$
$$\Delta_{E_{n}}=E_{a}\frac{\lambda}{L} $$\Delta E_{n}=E_{a}\frac{\lambda}{L} (2n-1)+E_{a}$$
Therefore, when n=$\frac{1}{2}$:
$$\Delta_{E_{n}}=E_{a}$$
In other words: