The geometric definition of the dot product says that the dot product between two vectors a and b is "a \\cdot b = \\lVert a \\rVert \\lVert b \\rVert cos \\theta" , where "\\theta" is the angle between vectors a and b.
As a first step, we look at the dot product between standard unit vectors, i.e., the vectors i, j, and k of length one and parallel to the coordinate axes.
Since the standard unit vectors are orthogonal, we immediately conclude that the dot product between a pair of distinct standard unit vectors is zero: "i \\cdot j = k \\cdot j = i \\cdot k = 0" .
The dot product between a unit vector and itself is also simple to compute. In this case, the angle is zero and "cos \\theta= 1" . Given that the vectors are all of length one, the dot products are "i \\cdot i = j \\cdot j = k \\cdot k = 1" .
The second step is to calculate the dot product between two three-dimensional vectors
"a =(a_1,a_2,a_3)=a_1i+a_2j+a_3k" , "b =(b_1,b_2,b_3)=b_1i+b_2j+b_3k" .
To do this, we simply assert that for any three vectors a, b, and c, and any scalar "\\lambda" : "(\\lambda a) \\cdot b = \\lambda (a \\cdot b ) = a \\cdot (\\lambda b)" , "(a+b) \\cdot c = a \\cdot c + b \\cdot c" .
Given these properties and the fact that the dot product is commutative, we can expand the dot product "a \\cdot b" in terms of components, "a \\cdot b =(a_1i+a_2j+a_3k) \\cdot (b_1i+b_2j+b_3k) = a_1b_1i \\cdot i + a_2b_2j \\cdot j + a_3b_3k \\cdot k + (a_1b_2 + a_2b_1)i \\cdot j + (a_1b_3 + a_3b_1)i \\cdot k + (a_2b_3+a_3b_2)j \\cdot k"
Since we know the dot product of unit vectors, we can simplify the dot product formula to "a \\cdot b = a_1b_1+a_2b_2+a_3b_3" .
Answer: "a \\cdot b = a_1b_1+a_2b_2+a_3b_3" .
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