Sum of small displacement vectors.

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SUMMARY

The discussion centers on the mathematical concept of summing small displacement vectors in a 3D space to approximate the total distance traveled by an object. The user proposes dividing the time interval from t0 to tf into small segments, denoted as x seconds, and calculating the sum of the lengths of the displacement vectors. This method aligns with the definition of arclength through the Riemann sum for the line integral ∫|ds|. Additionally, an alternative method involves using a differential mapping to preserve length, although this approach has limitations in specific cases such as fractals.

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Suppose we have an object.
The object is moving in a 3D world.
Now, let St1 - t2 denote the displacement vector from moment t1 to moment t2.
Now, let's say that t0 is the moment of the beginning of the motion, and (tf) is the last moment of movement.
We can split the time from t0 to tf into small bands, each x seconds long.
Now, let's add up the length of the vectors |St0 - t0+x| + |St0+x - t0+2x| + |St0+2x - t0+3x| + ... + |S(something) - tf| = Y
Now, it is obivous (at least for me) that if you make x smaller and smaller (x->0) then the value of Y will get nearer and nearer to the Distance passed by the object.
First of all, am i right ? Secondly (if so), how can it be prooved ?
Thanks !
 
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That is (typically) how the arclength is defiend! What you described is just the riemann sum for the line integral

∫|ds|

The only other way of which I know that one could define the arclength of a path is if you can find a differential mapping from [0, t] to your curve such that the derivative is always a unit vector. (intuitively this map would thus preserve length), then the arclength of your curve would be t.
 
Of course this approach would not work in certain cases. e.g. tracing the mandlebrot curve, or a similar fractal.
 

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