Can Shifting Vectors Affect Their Exponential Distance Sum Equality?

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In summary, the paper investigates whether shifting vectors can influence the equality of their exponential distance sums. It explores the mathematical implications of vector manipulation on distance metrics, aiming to determine conditions under which the equality holds or fails. The study provides theoretical insights and potential applications in fields that utilize vector analysis and distance measures.
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thatboi
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Hi all,
Suppose I had some some n-dimensional vectors ##\vec{a}_{1}, \vec{a}_{2}, \vec{b}_{1},\vec{b}_{2}## that satisfied ##e^{||\vec{a}_{1}||^2}+e^{||\vec{a}_{2}||^2}=e^{||\vec{b}_{1}||^2}+e^{||\vec{b}_{2}||^2}##. Now suppose there was another non-zero n-dimensional vector ##\vec{A}##. Is there anything I can say about the equation ##e^{||\vec{a}_{1}-\vec{A}||^2}+e^{||\vec{a}_{2}-\vec{A}||^2}=e^{||\vec{b}_{1}-\vec{A}||^2}+e^{||\vec{b}_{2}-\vec{A}||^2}##? For example, is the equation satisfied for ##\vec{a}_{i} \neq \vec{b}_{j}## for ##i,j = {1,2}##. Also I mean ##||\cdot||## as in the L2 norm.
 
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Can you find an example that fails your equation? Start with a simple (1-dimensional) case.
 
  • #3
scottdave said:
Can you find an example that fails your equation? Start with a simple (1-dimensional) case.
I suppose even in the 1-dimensional case, my second equation is satisfied as long as ##a_{1}=b_{1}##, ##a_{2}=b_{2}## or vice versa right. I was just wondering if there was some other solutions ##a_{1},b_{1}## that satisfied the set of equations above.
 
  • #4
thatboi said:
I suppose even in the 1-dimensional case, my second equation is satisfied as long as ##a_{1}=b_{1}##, ##a_{2}=b_{2}## or vice versa right. I was just wondering if there was some other solutions ##a_{1},b_{1}## that satisfied the set of equations above.
What happens when ##a_{1}= -b_{1}##, ##a_{2}= -b_{2}## for example?
 

FAQ: Can Shifting Vectors Affect Their Exponential Distance Sum Equality?

What are shifting vectors in the context of exponential distance sums?

Shifting vectors refer to the process of translating or modifying vectors in a vector space, which can impact the calculations of distances between points. In the context of exponential distance sums, shifting vectors can alter the positions of points in a way that may affect the overall sum of distances calculated using an exponential function.

How does the exponential distance sum equality work?

The exponential distance sum equality states that for a set of points, the sum of the exponential distances can remain invariant under certain transformations, such as shifting. This equality typically holds when the shifts maintain the relative distances between points in a specific manner, allowing for consistent results across different configurations.

Can shifting vectors change the equality of exponential distance sums?

Yes, shifting vectors can change the equality of exponential distance sums if the shifts disrupt the relationships between the distances of the points involved. If the shifts are uniform and maintain the relative distances, the equality may hold; however, non-uniform shifts can lead to different sums, breaking the equality.

What are the implications of shifting vectors on mathematical modeling?

The implications of shifting vectors on mathematical modeling are significant, as they can affect the accuracy and reliability of models that rely on exponential distance sums. Understanding how shifts impact these sums is crucial for ensuring that models remain valid and that conclusions drawn from them are based on accurate representations of the underlying data.

Are there specific conditions under which shifting vectors preserve the exponential distance sum equality?

Yes, specific conditions can preserve the exponential distance sum equality, such as maintaining proportional shifts across all vectors or ensuring that the shifts do not alter the geometric configuration of the points involved. These conditions allow for the preservation of relative distances and thus the equality in the exponential distance sums.

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