Inference on a factor graph (Sum-product Algorithm)

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I was going through the sum-product algorithm which can be used to find marginal distribution efficiently(and exactly) when the factor graph is a tree.

I found it difficult to understand the way they have expressed the joint probability density function eq 8.62

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I have gone through many sources and have failed to understand this.Can someone give an example and help me to understand why 8.62 holds? What does X(s) mean exactly?