We study the log-likelihood function and maximum likelihood estimate (MLE) for matrix normal model both real complex models. describe exact number of samples needed to achieve (almost surely) three conditions, namely a bounded function, existence MLEs, uniqueness MLEs. As consequence, we observe that almost sure boundedness guarantees an MLE, thereby proving conjecture Drton, Kuriki, Hoff [Exis...