# Philosophy behind unit systems¶

## Dimensions¶

### Introduction¶

At the root of unit systems are dimension systems, whose structure mainly determines the one of unit systems. Our definition could seem rough but they are largely sufficient for our purposes.

A dimension will be defined as a property which is measurable and assigned to a specific phenomenon. In this sense dimensions are different from pure numbers because they carry some extra-sense, and for this reason two different dimensions cannot be added. For example time or length are dimensions, but also any other things which has some sense for us, like angle, number of particles (moles…) or information (bits…).

From this point of view the only truly dimensionless quantity are pure numbers. The idea of being dimensionless is very system-dependent, as can be seen from the \((c, \hbar, G)\), in which all units appears to be dimensionless in the usual common sense. This is unavoidable for computability of generic unit systems (but at the end we can tell the program what is dimensionless).

Dimensions can be composed together by taking their product or their ratio (to be defined below). For example the velocity is defined as length divided by time, or we can see the length as velocity multiplied by time, depending of what we see as the more fundamental: in general we can select a set of base dimensions from which we can describe all the others.

### Group structure¶

After this short introduction whose aim was to introduce the dimensions from an intuitive perspective, we describe the mathematical structure. A dimension system with \(n\) independent dimensions \(\{d_i\}_{i=1,\ldots,n}\) is described by a multiplicative group \(G\):

- there an identity element \(1\) corresponding to pure numbers;
- the product \(D_3 = D_1 D_2\) of two elements \(D_1, D_2 \in G\) is also in \(G\);
- any element \(D \in G\) has an inverse \(D^{-1} \in G\).

We denote

and by definition \(D^0 = 1\). The \(\{d_i\}_{i=1,\ldots,n}\) are called generators of the group since any element \(D \in G\) can be expressed as the product of powers of the generators:

The identity is given for \(a_i = 0, \forall i\), while we recover the generator \(d_i\) for \(a_i = 1, a_j = 0, \forall j \neq i\). This group has the following properties:

- abelian, since the generator commutes, \([d_i, d_j] = 0\);
- countable (infinite but discrete) since the elements are indexed by the powers of the generators [1].

One can change the dimension basis \(\{d'_i\}_{i=1,\ldots,n}\) by taking some combination of the old generators:

### Linear space representation¶

It is possible to use the linear space \(\mathbf{Z}^n\) as a representation of the group since the power coefficients \(a_i\) carry all the information one needs (we do not distinguish between the element of the group and its representation):

The change of basis to \(d'_i\) follows the usual rule of change of basis for linear space, the matrix being given by the coefficients \(P_{ij}\), which are simply the coefficients of the new vectors in term of the old basis:

We will use this last solution in our algorithm.

### An example¶

In order to illustrate all this formalism, we end this section with a specific example, the MKS system (m, kg, s) with dimensions (L: length, M: mass, T: time). They are represented as (we will always sort the vectors in alphabetic order)

Other dimensions can be derived, for example velocity \(V\) or action \(A\)

We can change the basis to go to the natural system \((m, c, \hbar)\) with dimension (L: length, V: velocity, A: action) [2]. In this basis the generators are

whereas the mass and time are given by

Finally the inverse change of basis matrix \(P^{-1}\) is obtained by gluing the vectors expressed in the old basis:

To find the change of basis matrix we just have to take the inverse

## Quantities¶

A quantity is defined by its name, dimension and factor to a canonical quantity of the same dimension. The canonical quantities are an internal reference of the units module and should not be relevant for end-users. Both units and physical constants are quantities.

### Units¶

Units, such as meters, seconds and kilograms, are usually reference quantities chosen by men to refer to other quantities.

After defining several units of different dimensions we can form a unit system, which is basically a dimension system with a notion of scale.

### Constants¶

Physical constants are just quantities. They indicate that we used not to understand that two dimensions are in fact the same. For example, we see a velocity for the light different from 1 because we do not think that time is the same as space (which is normal because of our sense; but it is different at the fundamental level). For example, once there was the “heat constant” which allowed to convert between joules and calories since people did not know that heat was energy. As soon as they understood it they fixed this constant to 1 (this is a very schematic story).

We can interpret the fact that now we fix the value of fundamental constants in the SI as showing that they are units (and we use them to define the other usual units).

## The need for a reference¶

It is not possible to define from scratch units and unit systems: one needs to define some references, and then build the rest over them. Said in another way, we need an origin for the scales of our units (i.e. a unit with factor 1), and to be sure that all units of a given dimension are defined consistently we need to use the same origin for all of them. This can happen if we want to use a derived unit as a base units in another system: we should not define it as having a scale 1, because, even if it is inconsistent inside the system, we could not convert to the first system since we have two different units (from our point of view) of same scale (which means they are equal for the computer).

We will say that the dimensions and scales defined outside systems are canonical, because we use them for all computations. On the other side the dimensions and scales obtained with reference to a system are called physical, because they ultimately carry a sense.

Let’s use a concrete (and important) example: the case of the mass units. We would like to define the gram as the origin. We would like to define the gram as the canonical origin for the mass, so we assign it a scale 1. Then we can define a system (e.g. in chemistry) that take it as a base unit. The MKS system prefers to use the kilogram; a naive choice would be to attribute it a scale if 1 since it is a base, but we see that we could not convert to the chemistry system because g and kg have both been given the same factor. So we need to define kg as 1000 g, and only then use it as a base in MKS. But as soon as we ask the question “what is the factor of kg in MKS?”, we get the answer 1, since it is a base unit.

Thus we will define all computations without referring to a system, and it is only at the end that we can plug the result into a system to give the context we are interested in.

## Literature¶

[Page52] | C. H. Page, Classes of units in the SI, Am. J. of Phys. 20, 1 (1952): 1. |

[Page78] | C. H. Page, Units and Dimensions in Physics, Am. J. of Phys. 46, 1 (1978): 78. |

[deBoer79] | J. de Boer, Group properties of quantities and units, Am. J. of Phys. 47, 9 (1979): 818. |

[LevyLeblond77] | J.-M. Lévy-Leblond, On the Conceptual Nature of the Physical Constants, La Rivista Del Nuovo Cimento 7, no. 2 (1977): 187-214. |

[NIST] | NIST reference on constants, units and uncertainties. |

Footnotes

[1] | In general we will consider only dimensions with a maximum coefficient, so we can only a truncation of the group; but this is not useful for the algorithm. |

[2] | We anticipate a little by considering \(c\) and \(\hbar\) as units and not as physical constants. |