Point or Vector? What's the difference?

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SUMMARY

The discussion clarifies the fundamental differences between points and vectors in a three-dimensional space. A point is defined as a specific location represented by coordinates (x, y, z), while a vector is characterized by both magnitude and direction, typically represented as an arrow from the origin (0, 0, 0) to the point (x, y, z). Key operations such as vector addition and subtraction are possible, while points cannot be added together. The conversation emphasizes the importance of an affine structure to understand the relationship between points and vectors, highlighting that vectors can be defined without a coordinate system.

PREREQUISITES
  • Understanding of 3D coordinate systems
  • Familiarity with vector operations such as addition and subtraction
  • Knowledge of affine spaces and transformations
  • Basic concepts of Euclidean geometry
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  • Study the properties of affine spaces and their applications in geometry
  • Learn about vector spaces and their axioms in linear algebra
  • Explore the concept of tangent vectors in calculus
  • Investigate the role of coordinate systems in defining geometric objects
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Mathematicians, physics students, educators, and anyone interested in the foundational concepts of geometry and vector analysis.

Swapnil
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What's the difference between a point and a vector (both of which are situated in 3-Dimentions)? I mean, they are similar in a way that they can be represented as an ordered 3-tuple (x,y,z). But then they are different because vectors have a direction but points do not. :confused:

How would a mathematician differentiate between these two concepts?
 
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a vector is an ordered pair of points. a point is one point.
 
a POINT is the point at (for example) (x,y,z). a vector is something with magnitude & direction. the VECTOR (x,y,z) is represented by an arrow starting at (0,0,0) & ending at (x,y,z). its magnitude is sqrt(x^2 + y^2 + z^2). it looks like an arrow but is actually a lot more. an arrow only has direction.
 
Since you can assume the vector starts at the origin, there's no more information in either and they have a natural bijection (the identity funvtion). Vectors are thought about in a different way, though. It doesn't make sense to add two points, but it does make sense to add two vectors. Similarly, a vector has a length and other properties that points are not though of as posessing.
 
greathouse is assuming the existence of an origin which you did not specify.

in a euclidean plane with no origin, a vector is an ordered pair of points. you cannot add two points but you can subtract two points, the resuklt being a vector.
'
you can also add a vector to a point.
 
You can add vectors, you can't add points. In particular, there exist a "0" vector but no "0" point. If you put a coordinate system on a set of points, then you can treat it as a vector space, but the connection between points and vectors depends on the coordinate system.
 
it is true you cannot add two points in an affine space, but there is no need for a coordinate system to add vectors to points.

to add a vector V to a point P, you start the vector at the point, and see where the end of the VEctor winds up. that point Q is V +P.

similarly to subtract P from Q you draw the Segment beginning at P and ending at Q, that is V = Q-P.

Of course you need an afine structure on your set of points but no origin and no coordinate system.

beginning from an affine space of points, including the ability to define parallelism and equality of lengths, you define a vector as an equivalence class of ordered pairs of points as usual.

or more elegantly, you deine the vector or tangent space of an affine space as the space of all length preserving bijections of the affine space with itself. then a vector tangent to A is an affine transformation
v:A-->A , and adding v to a point P of A means simply applying v as a transformation, v(P).

this is my favorite way to do it, and it was taught this way in my advanced calculus class in 1963.

in this form, Halls' observation about the zero vector as quite different from choosing any special point, is clear, i.e. the zero vector is the identity transformation on the affine space of points. it is the unique tranformation taking each point to itself.
 
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by the way this makes it clear you do not need a coordinate system, or a notion of length, just the ability to compare lengths, to define derivatives.

i.e. since you subtract f(x)-f(a), you do nt need an origian, and since you divide the two segments [f(x)-f(a)]/(x-a), you do not need a unit length.

so you can deine derivatives by the usual formula for any function between copies of the affine line, or between affine spaces.
 
mathwonk said:
greathouse is assuming the existence of an origin which you did not specify.

This is true. I assumed the existence of a distinguised point from which vectors could be measured. It need not be the traditional Cartesian origin, of course; just about any point will do. Once you have it, you can define vectors with just as much information as points.
 
  • #10
in the setup i have given above, once you pick any point O, then applying a vector transformation v to this point, gives the second point v(O) which may then be thought of as representing v with respect to the fixed point O.

conversely, with O fixed, for each choice of second point Q, there is a unique affine transformation (vector) v, such that v(O) = Q.


thus the affine space of popints and its intrinsically associated vector space of transformations, encapsulates all aspects of the more traditional but less natural versions of the connections between vectors and points.


this point of view was espoused by my calc teacher Lynn Loomis. I thought it very beautiful but I have essentially never seen it again in over 40 years.
 
  • #11
mathwonk, outta curiosity what you posted about vectors, does that imply that the vector (0,0,0) need not exist in the vector space?
if I remember correctly the (0,0,0) must exist
if there exists a (0,0,0) vector doesn't that imply there exists a (0,0,0) point(or rather how can an euclidean space not have a 0,0,0)?

also aren't all points vectors added to the vector (0,0,0)?

BTW. What is the definition of a coordinate system?
 
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  • #12
mathwonk said:
in the setup i have given above, once you pick any point O, then applying a vector transformation v to this point, gives the second point v(O) which may then be thought of as representing v with respect to the fixed point O.
conversely, with O fixed, for each choice of second point Q, there is a unique affine transformation (vector) v, such that v(O) = Q.
thus the affine space of popints and its intrinsically associated vector space of transformations, encapsulates all aspects of the more traditional but less natural versions of the connections between vectors and points.

this point of view was espoused by my calc teacher Lynn Loomis. I thought it very beautiful but I have essentially never seen it again in over 40 years.
This is a pretty interesting point of view. My thanks to Lynn Loomis. BTW, what do you mean by "affine space"?


I am still a little confused. Things seems to be flying all over in my head. I know what's a point and what's a vector geometrically (the way most non-mathematicians think of points and vectors). But I don't know how to distinguish between them if I just stick to the concepts of objects and sets. It seems to me, from this discussion, that a vector only differs from point in the way that we can perform operations on vectors but we can't perform operations on ponits. Am I right?
 
  • #13
if you took euclidean geometry, affine space is the euclidean plane, no origin no axes, just flat space, and the ability to detect parallelism and compare lengths.
 
  • #14
neuro i could not understand your question. but maybe I am tired.
 
  • #15
What about this?

Swapnil said:
I am still a little confused. Things seems to be flying all over in my head. I know what's a point and what's a vector geometrically (the way most non-mathematicians think of points and vectors). But I don't know how to distinguish between them if I just stick to the concepts of objects and sets. It seems to me, from this discussion, that a vector only differs from point in the way that we can perform operations on vectors but we can't perform operations on ponits. Am I right?

anybody?...
 
  • #16
havent we been answering this all the time ? this makes me want to go back to my first answer, i.e. a point is a point and an ordered pair of points represents a vector,

two ordered pairs of points represent the same vector if the two oriented line segments are parallel and of the same length,.
 
  • #17
Basically a point is one dot (with no dimensions). A vector however is in fact a quantity with both a magnitude and a direction. The key differences is the magnitude and direction. If you find the notation confusing, what we do using the Cambridge system of education is that we write vectors upright, sort of like matrix.
 
  • #18
how can you confuse one point with two points?
 
  • #19
here is a point: P. here is a vector: PQ.

the vector starts at P and ends at Q.
 
  • #20
If I have understood well:

A point: (2, 3).

A vector: ((h, k), (h+2, k+3)).
 
  • #21
Castilla said:
If I have understood well:

A point: (2, 3).

A vector: ((h, k), (h+2, k+3)).

(2, 3) is an ordered pair. There exists a bijection between the Euclidean plane E^2
(which consists of points) and the Carthesian product of the reals R^2,
but that is a mapping between two sets of different objects. So, unless I'm missing
something big here, (2, 3) is not a point. An ordered pair is a vector, since
it is an element of a vector space. A point (in a strict geometrical sense) is not
an element of a vector space, and so it's not a vector.
 
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  • #22
the only reason you think (a,b) is a vector is because you are assuming the other point is (0,0).

so actually the vector is the pair (0,0), (a,b). get it?dont they tell you that vector can have its foot anywhere?

thats because <(0,0), (a,b)>, and <(c,d), (a+c,b+d)> represent equivalent vectors.

we do say that (a,b) are the "coordinates" of that common family of equivalent vectors.

think about it
 
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  • #23
more accurAELY, a pair of corrdinTE REPRESENTS MORE THAN A POINT. IT REPRESENTS A POINT IN RELATION TO SOME OTHER POINT,M HENCE 2 POINTS.SO P IS APOINT, (A,B) IS REPRESENTATOVE OF AN ORIGIN, AND A POINT LOCARTED RELATIVE TO THAT ORIGIN WRT A PAIR OF AXES.SO (A,B) STRICTLY SPEAKING IS NOT JUST A POINT. IT \IS A PAIR OF NUMBERS AND AS SUCH CAN RPRESENT MANY THIGNS.
 
  • #24
mathwonk said:
more accurAELY, a pair of corrdinTE REPRESENTS MORE THAN A POINT. IT REPRESENTS A POINT IN RELATION TO SOME OTHER POINT,M HENCE 2 POINTS.


SO P IS APOINT, (A,B) IS REPRESENTATOVE OF AN ORIGIN, AND A POINT LOCARTED RELATIVE TO THAT ORIGIN WRT A PAIR OF AXES.


SO (A,B) STRICTLY SPEAKING IS NOT JUST A POINT. IT \IS A PAIR OF NUMBERS AND AS SUCH CAN RPRESENT MANY THIGNS.

In essence, we take for granted that when we write ordered pairs as vector, we are assuming that it's "foot" is (0,0) without even realizing it. (Well, I do, but most don't. :-p )
 
  • #25
JasonRox said:
In essence, we take for granted that when we write ordered pairs as vector, we are assuming that it's "foot" is (0,0) without even realizing it. (Well, I do, but most don't. :-p )

Of course, if we think of a vector as a radius vector. But I don't understand what that has to do with ordered pairs. Ordered pairs of, let's say real numbers, have an binary operation of addition and scalar multiplication defined, and they satisfy the general properties of a vector space. So, it makes them vectors. Of course, not vectors in the 'popular' meaning. :smile:
 
  • #26
of course your concept satisfies the popular formal definition of "vector space" as defined in books, but i am trying to explain the actual concept of geometric vectors in euclidean space, which is the concept that has some content for physicists, and geometers too.for example, if one is trying to find the velocity vector of a moving point in the plane, what sense does it mean to say that velocity vector is (6,2)?the correct concept is to say the velocity vector at the time t, is a vector that begins at f(t) = p, and ends at f(t) + f'(t) = q, where f is the parametrization of the curve and f' is the derivative.i.e. it begins at the point p where the point is at time t, and ends at q, the point where the point WOULD be, after one unit of time, assuming t stopped accelerating at time t and continued in a riught line at uniform speed.obviously a geometric vector tangent toa curve, should have its foot ata poimt on the curbe where the tangency occurs. it is very artificial to have the foot of the vector at the origin, but that is forced by the formal belief that vectors are pairs of numbers.

think about it.

the point is that real vectors should be independent of the coordinate system or they have no physical meaning.

i admit this is confusing. i have even had to correct errors by full professors on this matter in responding to student complaints of their grading of several variaBLE CALCULUS EXAMS.
 
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  • #27
try to imagine a flat homogeneous plane, no coordinates, no origin. now what isa vector in that plane? (2,3) makes no sense.
 
  • #28
radou said:
Of course, if we think of a vector as a radius vector. But I don't understand what that has to do with ordered pairs. Ordered pairs of, let's say real numbers, have an binary operation of addition and scalar multiplication defined, and they satisfy the general properties of a vector space. So, it makes them vectors. Of course, not vectors in the 'popular' meaning. :smile:

Sure it does make them vectors. Why wouldn't it?

You have to remember that the addition and scalar multiplication of the vectors is the same as the regular ordered pairs. (Parallelogram)

The only thing is that when you make the ordered pairs a vector space, you are in fact using the origin as the "foot".

The ordered pairs also have a distance defined to them (using inner products), by using what? The origin itself.

But of course, you change shift the whole vector space (affine space) to the right so that (1,0) is the origin or "foot". In turn, this affects the operations of the ordered pairs and vectors in the exact same way.
 
  • #29
here is a little thought problem: think of a uniform plane where one has no coordinates, but one can compare distances: i.e. here is no number asigned to a distnace but one can compare two lengths to se what scalar multiple one is of the other.

then define a derivative a follows; given two points p,q and a function f,

one can consider the ratio [f(q)-f(p)]/[q-p], which is a number.

then take the limit as q approaches p. this number is the derivative if f at p./im tired. ask yourself what is a god way to define the tangebnt vcector space to a uniform euclidean plane, withiout coordinates.
 
  • #30
I know this thread has been dormant a long time, but I think it should be revived, because vectors are so important to physical systems. They're always explained as a quantity having "magnitude and direction" in high schools and universities, which makes me sick. The students never really understand what they are, they just take them at face value. I didn't understand vectors completely even after a bunch of vector calculus.

I think throwing around more ideas on how to approach defining vectors is healthy.

Any takers?
 

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