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Here is your definition of Vector multiplication (equation 3, here )
Vector Multiplication. Vector multiplication is one of the few vector operations that has no real geometric equivalent. To multiply a direction by another, or multiplying a position by another position, does not really make sense. That does not mean that the numerical equivalent is not useful, though.
Multiplying two vectors numerically is simply component-wise multiplication, much like vector addition.
Because dot product produces scalar and, usually, is used in different context. I wouldn't even notice this if you wouldn't claim that the book is for begginers. Okay, "Vector multiplication" is quite fine, but I would prefer to see some kind of note, like:
Multiplying two vectors can have different definitions in math, depends on context we use it. In computer graphics we usually will be interested in so called "Hadamard product", which is simply component-wise multiplication, much like vector addition.
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In chapter 9 we'll cross with other definition, which is called "dot Product", which could be helpful in context of calculation angles between vectors, but we'll discuss it later.
(I'm not a native speaker so stylistically my example could be not good enough, I just hope you got the idea).
Here is your definition of Vector multiplication (equation 3, here )
What you described is actually called Hadamard product
Basically when "Vector multiplication" is said it is implied to be Cross product , which is completely different thing.
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