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"Introduction to Electrodynamics" by Griffiths has the following lines:

A vector is any set of three components that transforms in the same manner as a displacement when you change coordinates.

How do I interpret these lines?

Edit: He added a few more lines to this.enter image description here

Qmechanic
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R004
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  • What's the context? I assume he's talking about covariance and contravariance. – Mateen Ulhaq Feb 02 '18 at 08:17
  • Which edition/page is this? I can't find this in my 3rd edition. – Mateen Ulhaq Feb 02 '18 at 08:35
  • Fourth Ed. Page 11. – R004 Feb 02 '18 at 08:39
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    Ah, found it. I think this explanation is terrible. I know why Griffiths might think it's important to introduce this idea, but it's done terribly, imprecisely, and inaccurately. I suggest you move on as you don't really need to understand it for this book. If you're still curious, I would recommend watching this 3Blue1Brown video and then the article I linked. (Unless someone has a better introductory resource!) – Mateen Ulhaq Feb 02 '18 at 08:56
  • @MateenUlhaq Not sure why you object so strongly: a vector is a quantity that transforms in a certain way under rotation. More generally for instance a 4-vector is a quantity that behaves in a certain way under Lorentz transformations. Tensors - Cartesian, rotational or otherwise - are defined by how they transform (multilinearly) under some operations. – ZeroTheHero Feb 02 '18 at 09:54
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    A vector is an element of a vector space. If we want to attach a geometrical notion, it's an arrow. Less precisely, if we want to attach a notion of linear transformation, it's an object that preserves its meaning under change of basis, but changes its representation in a "linear" manner. This idea is just an extension of what a vector really is: an element of a vector space... or an arrow. As a result, the phrase "...transforms in the same manner as a displacement" sounds very strange. Why not just call it a displacement and be done with? – Mateen Ulhaq Feb 02 '18 at 10:25
  • Oh, I guess Griffiths is talking specifically about a contravariant vector... But why not specify this explicitly? Why call it a "vector", which can have one of many meanings? – Mateen Ulhaq Feb 02 '18 at 10:29

4 Answers4

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There are three common ways of understanding vectors:

  1. Algebraic
  1. Geometric
  1. Transformational

The algebraic definition is common in mathematics where vectors are defined as those objects satisfying a short list of axioms. This is a coordinate-free definition.

The geometric definition is common in physics, and in particular, in mechanics, where a vector is defined as a directed magnitude. It is also a coordinate free definition.

The transformational definition is common in general relativity where it is used to help introduce tangent vectors. It is closely bound up with the set of all bases of the vector space.

Unlike the first two definitions, it is not coordinate-free. In fact, it is as far from the first definitions as it is possible to be since we need to consider the set of all conponents with respect to all bases!

We say it is an operational definition since when we actually come to measure a vector, we don't actually measure the vector itself directly. Instead, we first set up a basis, and measure the components of the vector with respect to this basis.

Now, if we are presented a list of 3 numbers, how do we know they come from a vector in a 3d space? Well, we ask the observer to measure the components of the object wrt to the set of all bases a d we should find a certain relationship between them. That is, if we transform a basis from one to another, then the components will transform contravariantly. In fact, there is another kind of transformational vector that transforms covariantly. This is why it is common to divide transformational vectors into contravariant and covariant vectors.

It's actually not straight-forward to formalise the definition of a transformational vector. It seems as though a functor of some kind can be involved involving the category of all bases of a space. It can be done via the category of elements and the Grothendieck construction.

Given the complexity of the transformational definition, we have to ask why use it? This is because not all vector spaces present themselves to us in the same way as the space around us, the 3d spatial vector space. For example, take for instance colour or isospin space. Here, we can't directly see a colour or isospin vector in the same way we can see a spatial vector. We can only set up bases and take components. Hence, the transformational definition is most natural here.

Mozibur Ullah
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You can understand this with some examples.

In three-dimensional space you can define a displacement vector with components $(\delta x,\delta y,\delta z)$. You can have other vectors such as velocity, momentum, force, acceleration. To understand the difference between a vector and a non-vector it helps to have some examples of non-vectors.

Mass $m$, charge $q$ and temperature $T$ are non-vectors and this is obvious. But how about the quantity $(m, q, T)$? It has three components. Is it a vector? The answer is no, because it does not have the direction-and-size nature of a vector. One can plot a three-dimensional graph with mass, charge and temperature along the axes, but there is no way to define a kind of 'rotation' which could transform mass into a combination of charge and temperature.

In search of more likely candidates for a vector, you can try things like $(yz, zx, xy)$. It's not so easy now to see whether or not that is a vector.

So the way this is formalized mathematically is to say that a quantity is correctly called a 'vector' when the following happens: if we write it in terms of components, and then rotate the coordinate system, then if the components change by the same mathematical rule as do the components $(\delta x, \delta y, \delta z)$ of a displacement in space, then we have a vector.

The change in the components of the displacement vector $(\delta x, \delta y, \delta z)$, when the coordinate axes are rotated, can be obtained by using a rotation matrix $R$. If the new set of components of some other quantity is correctly obtained by using that same rotation matrix $R$, then the other quantity is a vector.

Andrew Steane
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  • Note that for a mathematician $(m,q,T)$ is a perfectly good vector, but it is not a Euclidean vector. – gandalf61 Apr 06 '21 at 11:53
  • @gandalf61 That would only be true if $(m,q,T)$ transforms the right way, but no such transformation among mass, charge and temperature is well-defined or even definable. Isn't that right? – Andrew Steane Apr 06 '21 at 12:12
  • Griffiths is using “vector” as a short-hand for a Euclidean vector or a four-vector. The mathematical concept of a vector in linear algebra is more general than this, and in some ways simpler. For example, mathematical vectors do not need to come equipped with the attributes of length or direction. – gandalf61 Apr 06 '21 at 12:24
  • @gandalf61 "length" is a scalar thing which is invariant under the given transformation; relative "direction" can be defined via the inner product. The transformation need not in general be a rotation in Euclidean space, but it is a natural generalization of rotation. But if one were to use the word "vector" for a quantity that does not even satisfy the rules of vector spaces, then I am not sure what use the term "vector" then serves. – Andrew Steane Apr 06 '21 at 13:06
  • A vector space does not have to have an inner product. If it does have this extra structure then it is called an inner product space. See https://en.wikipedia.org/wiki/Vector_space and https://en.wikipedia.org/wiki/Inner_product_space. The only operations that have to be defined in a vector space are addition of two vectors and multiplication of a vector by a scalar. – gandalf61 Apr 06 '21 at 13:27
  • @gandalf61 ok, now I see where you are coming from. But the notion of vector in the original question was, I think, one imbued with an inner product. – Andrew Steane Apr 06 '21 at 13:45
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We'll use the Einstein summation convention here

Let us change coordinates from $x$ ($A$) to $y$ ($B$), with unit vectors $\vec{e}_{\mu}$(in $A$) and $\vec{\epsilon}_{\mu} $ (in $B$),with $\mu=0,1,2,3$ .

The displacement vector in the 2 frames are $dx^{\mu}\vec{e}_{\mu}$ and $dy^{\nu}\vec{\epsilon}_{\nu}$.Let us assume the displacements are related by:

$$dy^{\nu} = S^{\nu}_{\mu}dx^{\mu} \tag{*}$$

Suppose we have a vector $\vec{V}$, written as $V^{\mu}\vec{e}_{\mu}$ (in $A$) and $V^{'\nu}\vec{\epsilon}_{\nu}$ (in $B$). Then what the text means is that, the components of the vector in $A$ and $B$ are also related by the same relationship as $(*)$. This can be shown as follows:

$$dy^{\nu}\vec{\epsilon}_{\nu}=S^{\nu}_{\mu}dx^{\mu} \vec{\epsilon}_{\nu} = dx^{\mu} (S^{\nu}_{\mu}\vec{\epsilon}_{\nu})$$

Since the displacement vector in the 2 frames are equal, we must have: $$S^{\nu}_{\mu}\vec{\epsilon}_{\nu} = \vec{e}_{\mu}$$ $$\Longrightarrow \vec{\epsilon}_{\nu} = P^{\mu}_{\nu}\vec{e}_{\mu}\tag{1}$$

Where the matrix $P$ is the inverse of matrix $S$, thus satisfying the relation $P^{\mu}_{\lambda}S^{\nu}_{\mu}=\delta^{\nu}_{\lambda}$.

Substituting relation $(1)$ in the vector $V^{'\nu}\vec{\epsilon}_{\nu}$, we have: $$V^{'\nu}\vec{\epsilon}_{\nu} = (V^{'\nu} P^{\mu}_{\nu})\vec{e}_{\mu}$$

Since the vector $\vec{V}$ are same in both frames, we now get: $$V^{'\nu} P^{\mu}_{\nu}=V^{\mu}$$ Using $P^{\mu}_{\nu}S^{\lambda}_{\mu}=\delta^{\lambda}_{\nu}$, it becomes: $$V^{'\nu}=S^{\nu}_{\mu}V^{\mu}$$

Which is the same relationship between the displacement in A and B

Thus, we have shown that under a coordinate transformation, the components of a vector must transforms in the same manner as the displacement

Kyle Kanos
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Jim Haddocc
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What Griffiths is calling a vector is, strictly speaking, a Euclidean vector in three-dimensional space or a four-vector in four-dimensional spacetime.

The components of a Euclidean vector (or a four-vector) are a way of representing it by giving its projections along three (or four) co-ordinate axes or the angles between the vector and certain axes. The definition is saying that if a vector is independent of the co-ordinate system that we are using (which is important if it represents a physically meaningful quantity) then its components must change in a specific way if we change the co-ordinate system. This allows us to tell if two different representations (one in Cartesian co-ordinates and another in spherical co-ordinates, for example) actually refer to one and the same underlying vector.

Euclidean vectors and four-vectors are special cases of the more general mathematical concept of a vector in linear algebra.

gandalf61
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