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Apr 15, 2023 at 10:30 comment added Andrew @asmaier If that were the case, you would allow negative values on standard deviations for $k$, since $\lambda > 0$ and $\Delta \lambda > 0$. See en.wikipedia.org/wiki/Propagation_of_uncertainty#Simplification for the general rule.
Apr 14, 2023 at 22:26 comment added asmaier @AndreasMastronikolis Shouldn't $\Delta k = - \frac{2\pi}{\lambda^2} \Delta\lambda$ ? Did you forget the minus sign?
Oct 7, 2020 at 4:12 history edited user276504 CC BY-SA 4.0
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Oct 7, 2020 at 0:00 history tweeted twitter.com/StackPhysics/status/1313630204158447616
Oct 6, 2020 at 23:39 answer added John Dumancic timeline score: 2
Oct 6, 2020 at 22:14 history edited Qmechanic
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Oct 6, 2020 at 21:03 comment added Andrew I hesitate to answer the question because of the second part. But here is how I am thinking. The De Broglie hypothesis asserts: $$p = \hbar k \text{ with } k = \frac{2 \pi}{\lambda}$$ Thus, $$\Delta p = \hbar \Delta k \text{ and } \Delta k= \frac{2 \pi}{\lambda^2} \Delta \lambda$$ So, finally we have: $$\Delta x \cdot \Delta p \geq \frac{\hbar}{2} \Longrightarrow \Delta x \Delta k \geq \frac{1}{2} \Longrightarrow \Delta x \cdot \Delta \lambda \geq \frac{\lambda^2}{4 \pi}$$
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Oct 6, 2020 at 20:33 history edited G. Smith CC BY-SA 4.0
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Oct 6, 2020 at 20:31 history asked user276504 CC BY-SA 4.0