Summation of product identities

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The discussion revolves around finding a relationship between the sum of products $$\sum_{k=0}^{n}a_kb_k$$ and separate functions of the sequences a and b. It is noted that while this sum resembles the inner product of vectors, there is no general formula to express it solely in terms of functions dependent on a or b independently. Participants clarify that the components can be interpreted as vectors, but the challenge lies in defining a meaningful cosine relationship without a specific angle. Ultimately, the consensus is that a general formula for separating the sums does not exist. The conversation concludes with agreement on the magnitudes of the vectors formed by sequences a and b.
eddybob123
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Hi everybody, I am just trying to find a decent identity that relates the sum $$\sum_{k=0}^{n}a_kb_k$$ to another sum such that ##a_k## and ##b_k## aren't together in the same one. If you don't know what I mean, feel free to ask. If you have an answer, please post it. Thanks in advance!
 
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hi eddybob123! :smile:

that's just a·b, the inner product (dot product) of two (n+1)-dimensional vectors a and b :wink:
 
But the a's and the b's aren't vectors, so what is the value of the ''##\cos\theta##"?
 
You can always interpret a and b as vectors.

There is no general formula to express this as the combination of two things, where one thing just depends on all a and the other thing just depends on all b.

In formulas, there are no (general) functions f,g,h to do this:
F=f(a0,a1,...,an)
G=g(b0,b1,...,bn)
h(F,G)=your result
 
eddybob123 said:
But the a's and the b's aren't vectors, so what is the value of the ''##\cos\theta##"?
The individual a's and b's might not be vectors, but we can think of them as components.

$$\sum_{k=0}^{n}a_{k}b_{k} = \begin{bmatrix} a_0 & a_1 & a_2 & \cdots \end{bmatrix}\begin{bmatrix} b_0 \\ b_1 \\ b_2 \\ \vdots \end{bmatrix} = \langle \vec{a},\vec{b} \rangle $$

How do we find the cosine of theta, you ask? $$\cos\theta = \frac{\displaystyle \sum_{k=0}^{n}a_{k}b_{k}}{(\sqrt{a_0^2 + a_1^2 + ...})(\sqrt{b_0^2 + b_1^2 + b_2^2 + ...})}$$
:biggrin:

To be completely serious, I am not aware of the kind of general formula you are looking for.
 
And the magnitudes of the two vectors will be $$\sqrt{a_0{}^2+a_1{}^2+...+a_n{}^2}$$ and $$\sqrt{b_0{}^2+b_1{}^2+...+b_n{}^2}$$Is this right?
 
yes :smile:
 

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