Communication Theory - Maximum A Posteriori (MAP) Principle

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I'm taking a communication theory course and I have some confusion regarding the maximum a posteriori rule.

In my notes it says that,

Consider a communication system where the transmit symbols are x from a choice of J possible symbols. The received symbols are y, from a choice of K possible symbols. The maximum a posteriori rule says that the receiver makes the following estimate of x,

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It goes on to say that this can be simplified via Baye's Rule as follows, enter image description here

That's my confusion. I've tried applying Bayes' Rule, however I seem to have an extra P(yk) on the bottom line. Is it somehow indpendant?

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We have $$ \operatorname{argmax}_{x_j} P(x_j, y_k) = \operatorname{argmax}_{x_j} \frac{P(x_j, y_k)}{P(y_k)}$$ as the denominator does not depend on $x_j$.