  showing that the entropic uncertainty relation implies the Heisenberg-Kennard uncertainty relation. A drawback of this relation is that it does not completely evade the objection mentioned above, (i.e., these entropic measures of uncertainty can become as large as one pleases while \(1-\epsilon\) of the probability in the distribution is concentrated on a very small interval), but the examples needed to show this are admittedly more far-fetched.