MHB Simplification of Trigonometric Expression

AI Thread Summary
The discussion focuses on simplifying the expression \( \cos[k_n(L-\varepsilon)] - \cos k_nL \) for small epsilon. Participants clarify that the initial claim of simplification to \( 2\sin k_nL \) is incorrect, and the correct approximation is \( \sim k_n \varepsilon \sin(k_n L) \). The cosine of a sum formula and Taylor expansion are suggested as methods for simplification. One participant notes that using the cosine sum leads to \( \sin k_nL \sin k_n\varepsilon \), which aligns with the approximation for small angles. The conversation emphasizes the importance of accurate trigonometric identities in simplification.
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$$
\cos[k_n(L-\varepsilon)]-\cos k_nL
$$
I just read this for small epsilon this result can be further simpli ed by using the trigonometric identity for $\cos[k_n(L-\varepsilon)]$. Doing so result is
$$
2\sin k_nL
$$
I don't see this? Can someone explain?
 
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dwsmith said:
$$
\cos[k_n(L-\varepsilon)]-\cos k_nL
$$
I just read this for small epsilon this result can be further simplied by using the trigonometric identity for $\cos[k_n(L-\varepsilon)]$. Doing so result is
$$
2\sin k_nL
$$
I don't see this? Can someone explain?

It's not true, it is \(\sim k_n \varepsilon\, \sin(k_n L)\)

CB
 
CaptainBlack said:
It's not true, it is \(\sim k_n \varepsilon\, \sin(k_n L)\)

CB

What trig identity did you use though?
 
dwsmith said:
What trig identity did you use though?

You can use the cosine of a sum formula, but you get the same result by taking a Taylor expansion of the first term.

CB
 
Last edited:
CaptainBlack said:
You can use the cosine of a sum formula, but you get the same result by taking a Mclaurin expansion of the first term.

CB

If we use cosine sum, shouldn't it be
$$
\cos k_nL\underbrace{\cos k_n\varepsilon}_{\approx 1 \text{ for small }\varepsilon} + \sin k_nL\sin k_n\varepsilon - \cos k_nL = \sin k_nL\sin k_n\varepsilon
$$
 
Recall $\displaystyle \sin\theta\approx\theta$ for small $\displaystyle \theta$.
 
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