Having Trouble with Convolution? A Simple Discrete Probability Example will Help

The convolution of two functions is a very difficult concept. In the discrete case, it's a bit easier, especially if the two functions have small finite support. In this case, the convolution also represents the probability mass function for the sum of the two independent random variables whose probability mass functions are given. https://amzn.to/3rjDOoA (Probability and Statistics with Applications: A Problem Solving Text, by Asimow and Maxwell) #convolution #discreteconvolution Links and resources =============================== 🔴 Subscribe to Bill Kinney Math: https://www.youtube.com/user/billkinneymath?sub_confirmation=1 🔴 Subscribe to my Math Blog, Infinity is Really Big: https://infinityisreallybig.com/ 🔴 Follow me on Twitter: https://twitter.com/billkinneymath 🔴 Follow me on Instagram: https://www.instagram.com/billkinneymath/ 🔴 You can support me by buying "Infinite Powers, How Calculus Reveals the Secrets of the Universe", by Steven Strogatz, or anything else you want to buy, starting from this link: https://amzn.to/3eXEmuA. 🔴 Check out my artist son Tyler Kinney's website: https://www.tylertkinney.co/ (0:00) Discussion of convolution and applications (3:44) Details of calculations (16:20) General formula from the pattern AMAZON ASSOCIATE As an Amazon Associate I earn from qualifying purchases.