 Dimensional analysis

In physics and all science, dimensional analysis is a tool to find or check relations among physical quantities by using their dimensions. The dimension of a physical quantity is the combination of the basic physical dimensions (usually mass, length, time, electric charge, and temperature) which describe it; for example, speed has the dimension length per unit time, and may be measured in meters per second, miles per hour, or other units. Dimensional analysis is based on the fact that a physical law must be independent of the units used to measure the physical variables. A straightforward practical consequence is that any meaningful equation (and any inequality and inequation) must have the same dimensions in the left and right sides. Checking this is the basic way of performing dimensional analysis.
Dimensional analysis is routinely used to check the plausibility of derived equations and computations. It is also used to form reasonable hypotheses about complex physical situations that can be tested by experiment or by more developed theories of the phenomena, and to categorize types of physical quantities and units based on their relations to or dependence on other units, or their dimensions if any.
Contents
Great Principle of Similitude
The basic principle of dimensional analysis was known to Isaac Newton (1686) who referred to it as the "Great Principle of Similitude".^{[1]} James Clerk Maxwell played a major role in establishing modern use of dimensional analysis by distinguishing mass, length, and time as fundamental units, while referring to other units as derived.^{[2]} The 19thcentury French mathematician Joseph Fourier made important contributions^{[3]} based on the idea that physical laws like F = ma should be independent of the units employed to measure the physical variables. This led to the conclusion that meaningful laws must be homogeneous equations in their various units of measurement, a result which was eventually formalized in the Buckingham π theorem. This theorem describes how every physically meaningful equation involving n variables can be equivalently rewritten as an equation of n − m dimensionless parameters, where m is the number of fundamental dimensions used. Furthermore, and most importantly, it provides a method for computing these dimensionless parameters from the given variables.
A dimensional equation can have the dimensions reduced or eliminated through nondimensionalization, which begins with dimensional analysis, and involves scaling quantities by characteristic units of a system or natural units of nature. This gives insight into the fundamental properties of the system, as illustrated in the examples below.
Definition
The dimensions of a physical quantity are associated with combinations of mass, length, time, electric charge, and temperature, represented by sansserif symbols M, L, T, Q, and Θ, respectively, each raised to rational powers.
The term dimension is more abstract than scale unit: mass is a dimension, while kilograms are a scale unit (choice of standard) in the mass dimension.
As examples, the dimension of the physical quantity speed is distance/time (L/T or LT^{−1}), and the dimension of the physical quantity force is "mass × acceleration" or "mass×(distance/time)/time" (ML/T^{2} or MLT^{−2}). In principle, other dimensions of physical quantity could be defined as "fundamental" (such as momentum or energy or electric current) in lieu of some of those shown above. Most^{[citation needed]} physicists do not recognize temperature, Θ, as a fundamental dimension of physical quantity since it essentially expresses the energy per particle per degree of freedom, which can be expressed in terms of energy (or mass, length, and time). Still others do not recognize electric charge, Q, as a separate fundamental dimension of physical quantity, since it has been expressed in terms of mass, length, and time in unit systems such as the cgs system. There are also physicists that have cast doubt on the very existence of incompatible fundamental dimensions of physical quantity.^{[4]}
The unit of a physical quantity and its dimension are related, but not identical concepts. The units of a physical quantity are defined by convention and related to some standard; e.g., length may have units of meters, feet, inches, miles or micrometres; but any length always has a dimension of L, independent of what units are arbitrarily chosen to measure it. Two different units of the same physical quantity have conversion factors that relate them. For example: 1 in = 2.54 cm; then (2.54 cm/in) is the conversion factor, and is itself dimensionless and equal to one. Therefore multiplying by that conversion factor does not change a quantity. Dimensional symbols do not have conversion factors.
Mathematical properties
Main article: Buckingham π theoremDimensional symbols, such as L, form a group: The identity is defined as L^{0} = 1, and the inverse to L is 1/L or L^{−1}. L raised to any rational power p is a member of the group, having an inverse of L^{−p} or 1/L^{p}. The operation of the group is multiplication, having the usual rules for handling exponents (L^{n} × L^{m} = L^{n+m}).
Dimensional symbols form a vector space over the rational numbers, with for example dimensional symbol M^{i}L^{j}T^{k} corresponding to the vector (i,j,k). When physical measured quantities (be they likedimensioned or unlikedimensioned) are multiplied or divided by one other, their dimensional units are likewise multiplied or divided; this corresponds to addition or subtraction in the vector space. When measurable quantities are raised to a rational power, the same is done to the dimensional symbols attached to those quantities; this corresponds to scalar multiplication in the vector space.
A basis for a given vector space of dimensional symbols is called a set of fundamental units or fundamental dimensions, and all other vectors are called derived units. As in any vector space, one may choose different bases, which yields different systems of units (e.g., choosing whether the unit for charge is derived from the unit for current, or vice versa).
Dimensionless quantities correspond to the origin in this vector space.
The set of units of the physical quantities involved in a problem correspond to a set of vectors (or a matrix). The kernel describes some number (e.g., m) of ways in which these vectors can be combined to produce a zero vector. These correspond to producing (from the measurements) a number of dimensionless quantities, {π_{1},...,π_{m}}. (In fact these ways completely span the null subspace of another different space, of powers of the measurements.) Every possible way of multiplying (and exponating) together the measured quantities to produce something with the same units as some derived quantity X can be expressed in the general form
Consequently, every possible commensurate equation for the physics of the system can be rewritten in the form f(π_{1},π_{2},...,π_{m}) = 0. Knowing this restriction can be a powerful tool for obtaining new insight into the system.
Mechanics
In mechanics, the dimension of any physical quantity can be expressed in terms of the fundamental dimensions (or base dimensions) M, L, and T – these form a 3dimensional vector space. This is not the only possible choice, but it is the one most commonly used. For example, one might choose force, length and mass as the base dimensions (as some have done), with associated dimensions F, L, M; this corresponds to a different basis, and one may convert between these representations by a change of basis. The choice of the base set of dimensions is, thus, partly a convention, resulting in increased utility and familiarity. It is, however, important to note that the choice of the set of dimensions cannot be chosen arbitrarily – it is not just a convention – because the dimensions must form a basis: they must span the space, and be linearly independent.
For example, F, L, M form a set of fundamental dimensions because they form an equivalent basis to M, L, T: the former can be expressed as [F=ML/T^{2}],L,M while the latter can be expressed as M,L,[T=(ML/F)^{1/2}].
On the other hand, using length, velocity and time (L, V, T) as base dimensions will not work well (they do not form a set of fundamental dimensions), for two reasons:
 There is no way to obtain mass — or anything derived from it, such as force — without introducing another base dimension (thus these do not span the space).
 Velocity, being derived from length and time (V=L/T), is redundant (the set is not linearly independent).
Other fields of physics and chemistry
Depending on the field of physics, it may be advantageous to choose one or another extended set of dimensional symbols. In electromagnetism, for example, it may be useful to use dimensions of M, L, T, and Q, where Q represents quantity of electric charge. In thermodynamics, the base set of dimensions is often extended to include a dimension for temperature, Θ. In chemistry the number of moles of substance (loosely, but not precisely, related to the number of molecules or atoms) is often involved and a dimension for this is used as well. In the interaction of relativistic plasma with strong laser pulses a dimensionless relativistic similarity parameter connected with the symmetry properties of the collisionless Vlasov equation is constructed from the plasma electron and critical densities in addition to the electromagnetic vector potential. The choice of the dimensions or even the number of dimensions to be used in different fields of physics is to some extent arbitrary, but consistency in use and ease of communications are very important.
Commensurability
The most basic consequence of dimensional analysis is:
 Only commensurable quantities (quantities with the same dimensions) may be compared, equated, added, or subtracted.
However,
 One may take ratios of incommensurable quantities (quantities with different dimensions), and multiply or divide them.
For example, it makes no sense to ask if 1 hour is more or less than 1 kilometer, as these have different dimensions, nor to add 1 hour to 1 kilometer. On the other hand, if an object travels 100 km in 2 hours, one may divide these and conclude that the object's average speed was 50 km/h.
As a corollary of this requirement, it follows that in a physically meaningful expression only quantities of the same dimension can be added, subtracted, or compared. For example, if m_{man}, m_{rat} and L_{man} denote, respectively, the mass of some man, the mass of a rat and the length of that man, the expression m_{man} + m_{rat} is meaningful, but m_{man} + L_{man} is meaningless. However, m_{man}/L^{2}_{man} is fine. Thus, dimensional analysis may be used as a sanity check of physical equations: the two sides of any equation must be commensurable or have the same dimensions, i.e., the equation must be dimensionally homogeneous.
Even when two physical quantities have identical dimensions, it may be meaningless to compare or add them. For example, although torque and energy share the dimension ML^{2}/T^{2}, they are fundamentally different physical quantities.
To compare, add, or subtract quantities with the same dimensions but expressed in different units, the standard procedure is to first convert them all to the same units. For example, to compare 32 metres with 35 yards, use 1 yard = 0.9144 m to convert 35 yards to 32.004 m.
Polynomials and transcendental functions
Scalar arguments to transcendental functions such as exponential, trigonometric and logarithmic functions, or to inhomogeneous polynomials, must be dimensionless quantities. (Note: this requirement is somewhat relaxed in Siano's orientational analysis described below, in which the square of certain dimensioned quantities are dimensionless)
This requirement is clear when one observes the Taylor expansions for these functions (a sum of various powers of the function argument). For example, the logarithm of 3 kg is undefined even though the logarithm of 3 is nearly 0.477. An attempt to compute ln 3 kg would produce, if one naively took ln 3 kg to mean the dimensionally meaningless "ln (1 + 2 kg)",
which is dimensionally incompatible – the sum has no meaningful dimension – requiring the argument of transcendental functions to be dimensionless.
Another way to understand this problem is that the different coefficients scale differently under change of units – were one to reconsider this in grams as "ln 3000 g" instead of "ln 3 kg", one could compute ln 3000, but in terms of the Taylor series, the degree 1 term would scale by 1000, the degree2 term would scale by 1000^{2}, and so forth – the overall output would not scale as a particular dimension.
While most mathematical identities about dimensionless numbers translate in a straightforward manner to dimensional quantities, care must be taken with logarithms of ratios: the identity log(a/b) = log a  log b, where the logarithm is taken in any base, holds for dimensionless numbers a and b, but it does not hold if a and b are dimensional, because in this case the lefthand side is welldefined but the righthand side is not.
Similarly, while one can evaluate monomials (x^{n}) of dimensional quantities, one cannot evaluate polynomials of mixed degree with dimensionless coefficients on dimensional quantities: for x^{2}, the expression (3 m)^{2} = 9 m^{2} makes sense (as an area), while for x^{2} + x, the expression (3 m)^{2} + 3 m = 9 m^{2} + 3 m does not make sense.
However, polynomials of mixed degree can make sense if the coefficients are suitably chosen physical quantities that are not dimensionless. For example,
This is the height to which an object rises in time t if the acceleration of gravity is 32 feet per second per second and the initial upward speed is 500 feet per second. It is not even necessary for t to be in seconds. For example, suppose t = 0.01 minutes. Then the first term would be
Incorporating units
The value of a dimensional physical quantity Z is written as the product of a unit [Z] within the dimension and a dimensionless numerical factor, n.
In a strict sense, when likedimensioned quantities are added or subtracted or compared, these dimensioned quantities must be expressed in consistent units so that the numerical values of these quantities may be directly added or subtracted. But, in concept, there is no problem adding quantities of the same dimension expressed in different units. For example, 1 meter added to 1 foot is a length, but it would not be correct to add 1 to 1 to get the result. A conversion factor, which is a ratio of likedimensioned quantities and is equal to the dimensionless unity, is needed:
 is identical to
The factor is identical to the dimensionless 1, so multiplying by this conversion factor changes nothing. Then when adding two quantities of like dimension, but expressed in different units, the appropriate conversion factor, which is essentially the dimensionless 1, is used to convert the quantities to identical units so that their numerical values can be added or subtracted.
 Only in this manner is it meaningful to speak of adding likedimensioned quantities of differing units.
Position vs displacement
Main article: Affine spaceSome discussions of dimensional analysis implicitly describe all quantities as mathematical vectors. (In mathematics scalars are considered a special case of vectors; the emphasis here is that vectors are closed under addition, subtraction, and scalar multiplication, and permit scalar division.). This assumes an implicit point of reference—an origin. While this is useful and often perfectly adequate, allowing many important errors to be caught, it can fail to model certain aspects of physics. A more rigorous approach requires distinguishing between position and displacement (or moment in time versus duration, or absolute temperature versus temperature change).
Consider points on a line, each with a position with respect to a given origin, and distances among them. Positions and displacements all have units of length, but their meaning is not interchangeable:
 adding two displacements should yield a new displacement (walking ten paces then twenty paces gets you thirty paces forward),
 adding a displacement to a position should yield a new position (walking one block down the street from an intersection gets you to the next intersection),
 subtracting two positions should yield a displacement,
 but one may not add two positions.
This illustrates the subtle distinction between affine quantities (ones modeled by an affine space, such as position) and vector quantities (ones modeled by a vector space, such as displacement).
 Vector quantities may be added to each other, yielding a new vector quantity, and a vector quantity may be added to a suitable affine quantity (a vector space acts on an affine space), yielding a new affine quantity.
 Affine quantities cannot be added, but may be subtracted, yielding relative quantities which are vectors, and these relative differences may then be added to each other or to an affine quantity.
Properly then, positions have dimension of affine length, while displacements have dimension of vector length. To assign a number to an affine unit, one must not only choose a unit of measurement, but also a point of reference, while to assign a number to a vector unit only requires a unit of measurement.
Thus some physical quantities are better modeled by vectorial quantities while others tend to require affine representation, and the distinction is reflected in their dimensional analysis.
This distinction is particularly important in the case of temperature for which there is an absolute zero that is different in different measuring systems. That is, for absolute temperatures
 0 K = −273.15 °C = −459.67 °F = 0 °R,
but for relative temperatures,
 1 K = 1 °C ≠ 1 °F = 1 °R
Unit conversion for relative temperatures, where no temperature difference is zero in all units, is simply a matter of multiplying by, e.g., 1 °F / 1 K. But because these systems for absolute temperatures have different origins, conversion from one absolute temperature requires accounting for that. As a result, simple dimensional analysis can still lead to errors if it becomes ambiguous if 1 K equals −272.15 °C or 1 °C.
Orientation and frame of reference
Similar to the issue of a point of reference is the issue of orientation: a displacement in 2 or 3 dimensions is not just a length, but is a length together with a direction. (This issue does not arise in 1 dimension, or rather is equivalent to the distinction between positive and negative.) Thus, to compare or combine two dimensional quantities in a multidimensional space, one also needs an orientation: they need to be compared to a frame of reference.
This leads to the extensions discussed below, namely Huntley's directed dimensions and Siano's orientational analysis.
Other uses
Dimensional analysis is also used to derive relationships between the physical quantities that are involved in a particular phenomenon that one wishes to understand and characterize. It was used for the first time (Pesic, 2005) in this way in 1872 by Lord Rayleigh, who was trying to understand why the sky is blue.
Examples
A simple example: period of a harmonic oscillator
What is the period of oscillation T of a mass m attached to an ideal linear spring with spring constant k suspended in gravity of strength g? The four quantities have the following dimensions: T [T]; m [M]; k[M / T^{2}]; and g[L / T^{2}]. From these we can form only one dimensionless product of powers of our chosen variables, G_{1} = T^{2}k / m. The dimensionless product of powers of variables is sometimes referred to as a dimensionless group of variables, but the group, G_{1}, referred to means "collection" rather than mathematical group. They are often called dimensionless numbers as well.
Note that no other dimensionless product of powers involving g with k, m, T, and g alone can be formed, because only g involves L . Dimensional analysis can sometimes yield strong statements about the irrelevance of some quantities in a problem, or the need for additional parameters. If we have chosen enough variables to properly describe the problem, then from this argument we can conclude that the period of the mass on the spring is independent of g: it is the same on the earth or the moon. The equation demonstrating the existence of a product of powers for our problem can be written in an entirely equivalent way: , for some dimensionless constant κ.
When faced with a case where our analysis rejects a variable (g, here) that we feel sure really belongs in a physical description of the situation, we might also consider the possibility that the rejected variable is in fact relevant, and that some other relevant variable has been omitted, which might combine with the rejected variable to form a dimensionless quantity. That is, however, not the case here.
When dimensional analysis yields a solution of problems where only one dimensionless product of powers is involved, as here, there are no unknown functions, and the solution is said to be "complete."
A more complex example: energy of a vibrating wire
Consider the case of a vibrating wire of length ℓ (L) vibrating with an amplitude A (L). The wire has a linear density ρ (M/L) and is under tension s (ML/T^{2}), and we want to know the energy E (ML^{2}/T^{2}) in the wire. Let π_{1} and π_{2} be two dimensionless products of powers of the variables chosen, given by
The linear density of the wire is not involved. The two groups found can be combined into an equivalent form as an equation
where F is some unknown function, or, equivalently as
where f is some other unknown function. Here the unknown function implies that our solution is now incomplete, but dimensional analysis has given us something that may not have been obvious: the energy is proportional to the first power of the tension. Barring further analytical analysis, we might proceed to experiments to discover the form for the unknown function f. But our experiments are simpler than in the absence of dimensional analysis. We'd perform none to verify that the energy is proportional to the tension. Or perhaps we might guess that the energy is proportional to ℓ, and so infer that E = ℓs. The power of dimensional analysis as an aid to experiment and forming hypotheses becomes evident.
The power of dimensional analysis really becomes apparent when it is applied to situations, unlike those given above, that are more complicated, the set of variables involved are not apparent, and the underlying equations hopelessly complex. Consider, for example, a small pebble sitting on the bed of a river. If the river flows fast enough, it will actually raise the pebble and cause it to flow along with the water. At what critical velocity will this occur? Sorting out the guessed variables is not so easy as before. But dimensional analysis can be a powerful aid in understanding problems like this, and is usually the very first tool to be applied to complex problems where the underlying equations and constraints are poorly understood. In such cases, the answer may depend on a dimensionless number such as the Reynolds number, which may be interpreted by dimensional analysis.
Extensions
Huntley's extension: directed dimensions
Huntley (Huntley, 1967) has pointed out that it is sometimes productive to refine our concept of dimension. Two possible refinements are:
 The magnitude of the components of a vector are to be considered dimensionally distinct. For example, rather than an undifferentiated length unit L, we may have L_{x} represent length in the x direction, and so forth. This requirement stems ultimately from the requirement that each component of a physically meaningful equation (scalar, vector, or tensor) must be dimensionally consistent.
 Mass as a measure of quantity is to be considered dimensionally distinct from mass as a measure of inertia.
As an example of the usefulness of the first refinement, suppose we wish to calculate the distance a cannon ball travels when fired with a vertical velocity component V_{y} and a horizontal velocity component V_{x}, assuming it is fired on a flat surface. Assuming no use of directed lengths, the quantities of interest are then V_{x}, V_{y}, both dimensioned as L / T, R, the distance travelled, having dimension L, and g the downward acceleration of gravity, with dimension L / T^{2}
With these four quantities, we may conclude that the equation for the range R may be written:
Or dimensionally
from which we may deduce that a + b + c = 1 and a + b + 2c = 0, which leaves one exponent undetermined. This is to be expected since we have two fundamental quantities L and T and four parameters, with one equation.
If, however, we use directed length dimensions, then V_{x} will be dimensioned as L_{x} / T, V_{y} as L_{y} / T, R as L_{x} and g as L_{y} / T^{2}. The dimensional equation becomes:
and we may solve completely as a = 1, b = 1 and c = − 1. The increase in deductive power gained by the use of directed length dimensions is apparent.
In a similar manner, it is sometimes found useful (e.g., in fluid mechanics and thermodynamics) to distinguish between mass as a measure of inertia (inertial mass), and mass as a measure of quantity (substantial mass). For example, consider the derivation of Poiseuille's Law. We wish to find the rate of mass flow of a viscous fluid through a circular pipe. Without drawing distinctions between inertial and substantial mass we may choose as the relevant variables
 the mass flow rate with dimensions M / T
 p_{x} the pressure gradient along the pipe with dimensions M / L^{2}T^{2}
 ρ the density with dimensions M / L^{3}
 η the dynamic fluid viscosity with dimensions M / LT
 r the radius of the pipe with dimensions L
There are three fundamental variables so the above five equations will yield two dimensionless variables which we may take to be and and we may express the dimensional equation as
where C and a are undetermined constants. If we draw a distinction between inertial mass with dimensions M_{i} and substantial mass with dimensions M_{s}, then mass flow rate and density will use substantial mass as the mass parameter, while the pressure gradient and coefficient of viscosity will use inertial mass. We now have four fundamental parameters, and one dimensionless constant, so that the dimensional equation may be written:
where now only C is an undetermined constant (found to be equal to π / 8 by methods outside of dimensional analysis). This equation may be solved for the mass flow rate to yield Poiseuille's law.
Siano's extension: orientational analysis
Huntley's extension has some serious drawbacks:
 It does not deal well with vector equations involving the cross product,
 nor does it handle well the use of angles as physical variables.
It also is often quite difficult to assign the L, L_{x}, L_{y}, L_{z}, symbols to the physical variables involved in the problem of interest. He invokes a procedure that involves the "symmetry" of the physical problem. This is often very difficult to apply reliably: It is unclear as to what parts of the problem that the notion of "symmetry" is being invoked. Is it the symmetry of the physical body that forces are acting upon, or to the points, lines or areas at which forces are being applied? What if more than one body is involved with different symmetries? Consider the spherical bubble attached to a cylindrical tube, where one wants the flow rate of air as a function of the pressure difference in the two parts. What are the Huntley extended dimensions of the viscosity of the air contained in the connected parts? What are the extended dimensions of the pressure of the two parts? Are they the same or different? These difficulties are responsible for the limited application of Huntley's addition to real problems.
Angles are, by convention, considered to be dimensionless variables, and so the use of angles as physical variables in dimensional analysis can give less meaningful results. As an example, consider the projectile problem mentioned above. Suppose that, instead of the x and ycomponents of the initial velocity, we had chosen the magnitude of the velocity v and the angle θ at which the projectile was fired. The angle is, by convention, considered to be dimensionless, and the magnitude of a vector has no directional quality, so that no dimensionless variable can be composed of the four variables g, v, R, and θ. Conventional analysis will correctly give the powers of g and v, but will give no information concerning the dimensionless angle θ.
Siano (Siano, 1985I, 1985II) has suggested that the directed dimensions of Huntley be replaced by using orientational symbols 1_{x} 1_{y} 1_{z} to denote vector directions, and an orientationless symbol 1_{0}. Thus, Huntley's 1_{x} becomes L 1_{x} with L specifying the dimension of length, and 1_{x} specifying the orientation. Siano further shows that the orientational symbols have an algebra of their own. Along with the requirement that 1_{i}^{−1} = 1_{i}, the following multiplication table for the orientation symbols results:
Note that the orientational symbols form a group (the Klein fourgroup or "Viergruppe"). In this system, scalars always have the same orientation as the identity element, independent of the "symmetry of the problem." Physical quantities that are vectors have the orientation expected: a force or a velocity in the zdirection has the orientation of 1_{z}. For angles, consider an angle θ that lies in the zplane. Form a right triangle in the z plane with θ being one of the acute angles. The side of the right triangle adjacent to the angle then has an orientation 1_{x} and the side opposite has an orientation 1_{y}. Then, since tan(θ) = 1_{y}/1_{x} = θ + ... we conclude that an angle in the xy plane must have an orientation 1_{y}/1_{x} = 1_{z}, which is not unreasonable. Analogous reasoning forces the conclusion that sin(θ) has orientation 1_{z} while cos(θ) has orientation 1_{0}. These are different, so one concludes (correctly), for example, that there are no solutions of physical equations that are of the form a cos(θ)+b sin(θ) , where a and b are real scalars. Note that an expression such as sin(θ + π / 2) = cos(θ) is not dimensionally inconsistent since it is a special case of the sum of angles formula and should properly be written:
which for a = θ and b = π / 2 yields . Physical quantities may be expressed as complex numbers (e.g. e^{iθ}) which imply that the complex quantity i has an orientation equal to that of the angle it is associated with (1_{z} in the above example).
The assignment of orientational symbols to physical quantities and the requirement that physical equations be orientationally homogeneous can actually be used in a way that is similar to dimensional analysis to derive a little more information about acceptable solutions of physical problems. In this approach one sets up the dimensional equation and solves it as far as one can. If the lowest power of a physical variable is fractional, both sides of the solution is raised to a power such that all powers are integral. This puts it into "normal form". The orientational equation is then solved to give a more restrictive condition on the unknown powers of the orientational symbols, arriving at a solution that is more complete than the one that dimensional analysis alone gives. Often the added information is that one of the powers of a certain variable is even or odd.
As an example, for the projectile problem, using orientational symbols, θ, being in the xyplane will thus have dimension 1_{z} and the range of the projectile R will be of the form:
Dimensional homogeneity will now correctly yield a = −1 and b = 2, and orientational homogeneity requires that c be an odd integer. In fact the required function of theta will be sin(θ)cos(θ) which is a series of odd powers of θ.
It is seen that the Taylor series of sin(θ) and cos(θ) are orientationally homogeneous using the above multiplication table, while expressions like cos(θ) + sin(θ) and exp(θ) are not, and are (correctly) deemed unphysical.
It should be clear that the multiplication rule used for the orientational symbols is not the same as that for the cross product of two vectors. The cross product of two identical vectors is zero, while the product of two identical orientational symbols is the identity element.
Percentages and derivatives
Percentages are dimensionless quantities, since they are ratios of two quantities with the same dimensions.
Derivatives with respect to a quantity add the dimensions of the variable one is differentiating with respect to on the denominator. Thus:
 position (x) has units of L (Length);
 derivative of position with respect to time (dx/dt, velocity) has units of L/T – Length from position, Time from the derivative;
 the second derivative (d^{2}x/dt^{2}, acceleration) has units of L/T^{2}.
In economics, one distinguishes between stocks and flows: a stock has units of "units" (say, widgets or dollars), while a flow is a derivative of a stock, and has units of "units/time" (say, dollars/year).
Beware that in some contexts, dimensional quantities are expressed as dimensionless quantities or percentages by omitting some dimensions. This may or may not be misleading. For example, Debt to GDP ratios are generally expressed as percentages: total debt outstanding (dimension of Currency) divided by annual GDP (dimension of Currency) – but one may argue that in comparing a stock to a flow, annual GDP should have dimensions of Currency/Time (Dollars/Year, for instance), and thus Debt to GDP should have units of years.
Dimensionless concepts
Constants
Main article: Dimensionless numberThe dimensionless constants that arise in the results obtained, such as the C in the Poiseuille's Law problem and the κ in the spring problems discussed above come from a more detailed analysis of the underlying physics, and often arises from integrating some differential equation. Dimensional analysis itself has little to say about these constants, but it is useful to know that they very often have a magnitude of order unity. This observation can allow one to sometimes make "back of the envelope" calculations about the phenomenon of interest, and therefore be able to more efficiently design experiments to measure it, or to judge whether it is important, etc.
Formalisms
Paradoxically, dimensional analysis can be a useful tool even if all the parameters in the underlying theory are dimensionless, e.g., lattice models such as the Ising model can be used to study phase transitions and critical phenomena. Such models can be formulated in a purely dimensionless way. As we approach the critical point closer and closer, the distance over which the variables in the lattice model are correlated (the socalled correlation length, ξ ) becomes larger and larger. Now, the correlation length is the relevant length scale related to critical phenomena, so one can, e.g., surmize on "dimensional grounds" that the nonanalytical part of the free energy per lattice site should be ∼1 / ξ^{d} where d is the dimension of the lattice.
It has been argued by some physicists, e.g., Michael Duff,^{[4]}^{[5]} that the laws of physics are inherently dimensionless. The fact that we have assigned incompatible dimensions to Length, Time and Mass is, according to this point of view, just a matter of convention, borne out of the fact that before the advent of modern physics, there was no way to relate mass, length, and time to each other. The three independent dimensionful constants: c, ħ, and G, in the fundamental equations of physics must then be seen as mere conversion factors to convert Mass, Time and Length into each other.
Just as in the case of critical properties of lattice models, one can recover the results of dimensional analysis in the appropriate scaling limit; e.g., dimensional analysis in mechanics can be derived by reinserting the constants ħ, c, and G (but we can now consider them to be dimensionless) and demanding that a nonsingular relation between quantities exists in the limit , and . In problems involving a gravitational field the latter limit should be taken such that the field stays finite.
Applications
Dimensional analysis is most often used in physics and chemistry and in the mathematics thereof but finds some applications outside of those fields as well.
Mathematics
A simple application of dimensional analysis to mathematics is in computing the form of the volume of an nball (the solid ball in ndimensions), or the area of its surface, the nsphere: being an ndimensional figure, the volume scales as x^{n}, while the surface area, being (n − 1)dimensional, scales as x^{n − 1}. Thus the volume of the nball in terms of the radius is C_{n}r^{n}, for some constant C_{n}. Determining the constant takes more involved mathematics, but the form can be deduced and checked by dimensional analysis alone.
Finance, economics, and accounting
In finance, economics, and accounting, dimensional analysis is most commonly used in interpreting various financial ratios, economics ratios, and accounting ratios.
 For example, the P/E ratio has dimensions of time (units of years), and can be interpreted as "years of earnings to earn the price paid."
 In economics, debttoGDP ratio also has units of years (debt has units of currency, GDP has units of currency/year).
 More surprisingly, bond duration also has units of years, which can be shown by dimensional analysis, but takes some financial intuition to understand.
 Velocity of money has units^{[6]} of 1/Years (GDP/Money supply has units of Currency/Year over Currency): how often a unit of currency circulates per year.
Dimensional analysis is rarely used in (mainstream/neoclassical) economic modeling,^{[7]} and economic models are often dimensionally inconsistent.^{[8]} The equation of exchange is the most notable example of a dimensional equation in economic modeling,^{[7]} while the widelyused Cobb–Douglas model does not use dimensions in a meaningful way.^{[9]} This lack of dimensional consistency is criticized by heterodox economics, notably Austrian economics,^{[10]} while dimensional consistency is not considered necessary or desirable by mainstream economists.^{[8]}^{[11]}
See also
 Quantity calculus
 Debt to GDP ratio
 Concrete number
 Dirac large numbers hypothesis
 Fermi problem
 Fundamental unit
 Nondimensionalization
 Equivalization
 Physical quantity
 Natural units
 Similitude (model)
 Buckingham π theorem
 Units conversion by factorlabel
 Affine space
 Vector space
 Frame of reference
 Point of reference
 Rayleigh's method of dimensional analysis
 Covariance and contravariance of vectors
 Wedge product
 History of the metric system
 Geometric algebra
Notes
 ^ Stahl, Walter R (1961), "Dimensional Analysis In Mathematical Biology", Bulletin of Mathematical Biophysics 23: 355
 ^ Roche, John J (1998), The Mathematics of Measurement: A Critical History, London: Springer, p. 203, ISBN 9780387915814, "Beginning apparently with Maxwell, mass, length and time began to be interpreted as having a privileged fundamental character and all other quantities as derivative, not merely with respect to measurement, but with respect to their physical status as well."
 ^ Mason, Stephen Finney (1962), A history of the sciences, New York: Collier Books, p. 169, ISBN 0020934009
 ^ ^{a} ^{b} M. J. Duff, L. B. Okun and G. Veneziano, Trialogue on the number of fundamental constants, JHEP 0203, 023 (2002) preprint.
 ^ M. J. Duff,Comment on timevariation of fundamental constants, preprint
 ^ "It's just a flesh wound...", Steve Keen
 ^ ^{a} ^{b} (Barnett 2007, footnote 8, p. 96)
 ^ ^{a} ^{b} "And, from referee #3’s report: 'There is no question that the lack of dimensional consistency is pervasive throughout mathematical economics. However, this paper does not make clear why this lack of dimensional consistency is problematical. The lack of dimensional consistency is not so much a problem in and of itself . . .'", (Barnett 2007, p. 101, referee report #3)
 ^ (Barnett 2007, p. 96)
 ^ (Barnett 2007)
 ^ Four mainstream economists at a leading journal are quoted in (Barnett 2007, Appendix, pp. 99–102) as stating that dimensional consistency is not necessary in economic modeling and lack of dimensional consistency is not a valid criticism of an economic model.
References
 Barenblatt, G. I. (1996), Scaling, SelfSimilarity, and Intermediate Asymptotics, Cambridge, UK: Cambridge University Press, ISBN 0521435226
 Barnett (2007), "Dimensions and Economics: Some Problems", Quarterly Journal of Austrian Economics 7 (1), http://mises.org/journals/qjae/pdf/qjae7_1_10.pdf
 Bhaskar, R.; Nigam, Anil (1990), "Qualitative Physics Using Dimensional Analysis", Artificial Intelligence 45: 73–111, doi:10.1016/00043702(90)900382
 Bhaskar, R.; Nigam, Anil (1991), "Qualitative Explanations of Red Giant Formation", The Astrophysical Journal 372: 592–6, Bibcode 1991ApJ...372..592B, doi:10.1086/170003
 Boucher; Alves (1960), "Dimensionless Numbers", Chem. Eng. Progress 55: 55–64
 Bridgman, P. W. (1922), Dimensional Analysis, Yale University Press, ISBN 0548910294
 Buckingham, Edgar (1914), "On Physically Similar Systems: Illustrations of the Use of Dimensional Analysis", Phys. Rev. 4 (4): 345, Bibcode 1914PhRv....4..345B, doi:10.1103/PhysRev.4.345
 Gibbings, J.C. (2011), Dimensional Analysis, Springer, ISBN 1849963169
 Hart, George W. (March 1 1995), Multidimensional Analysis: Algebras and Systems for Science and Engineering, SpringerVerlag, ISBN 0387944176, http://www.georgehart.com/research/multanal.html
 Huntley, H. E. (1967), Dimensional Analysis, Dover, LOC 6717978
 Klinkenberg, A. (1955), " ", Chem. Eng. Science 4 (3): 130–140, 167–177, doi:10.1016/00092509(55)800048
 Langhaar, H. L. (1951), Dimensional Analysis and Theory of Models, Wiley, ISBN 0882756826
 Moody, L. F. (1944), "Friction Factors for Pipe Flow", Trans. Am. Soc. Mech. Engrs. 66 (671)
 Murphy, N. F. (1949), "Dimensional Analysis", Bull. V.P.I. 42 (6)
 Perry, J. H.; et al. (1944), "Standard System of Nomenclature for Chemical Engineering Unit Operations", Trans. Am. Inst. Chem. Engrs. 40 (251)
 Pesic, Peter (2005), Sky in a Bottle, Cambridge, Mass: MIT Press, pp. 227–8, ISBN 0262162342
 Petty, G. W. (2001), "Automated computation and consistency checking of physical dimensions and units in scientific programs", Software — Practice and Experience 31 (11): 1067–76, doi:10.1002/spe.401
 Porter, Alfred W. (1933), The Method of Dimensions, Methuen
 Lord Rayleigh (1915), "The Principle of Similitude", Nature 95 (2368): 66–8, Bibcode 1915Natur..95...66R, doi:10.1038/095066c0
 Siano, Donald (1985), "Orientational Analysis — A Supplement to Dimensional Analysis — I", J. Franklin Institute 320 (320): 267, doi:10.1016/00160032(85)900316
 Siano, Donald (1985), "Orientational Analysis, Tensor Analysis and The Group Properties of the SI Supplementary Units — II", J. Franklin Institute 320 (320): 285, doi:10.1016/00160032(85)900328
 Silberberg, I. H.; McKetta J. J. Jr. (1953), "Learning How to Use Dimensional Analysis", Petrol. Refiner 32 (4 (p.5), 5(p.147), 6(p.101), 7(p.129))
 Taylor, M.; Diaz A.I., JodarSanchez L.A., VillanuevaMico R.F. (2008), "A matrix generalisation of dimensional analysis using new similarity transforms to address the problem of uniqueness", Adv. Studies Theor. Phys. 2 (20): 979–995, http://www.mhikari.com/astp/astp2008/astp17202008/taylorASTP17202008.pdf
 Van Driest, E. R. (March 1946), "On Dimensional Analysis and the Presentation of Data in Fluid Flow Problems", J. App. Mech 68 (A–34)
 Whitney, H. (1968), "The Mathematics of Physical Quantities, Parts I and II", Am. Math. Mo. (Mathematical Association of America) 75 (2): 115–138, 227–256, doi:10.2307/2315883, JSTOR 2315883
 GA Vignaux (1992), Erickson, Gary J.; Neudorfer, Paul O., ed., Dimensional Analysis in Data Modelling, Kluwer Academic, ISBN 079232031X
 Wacław Kasprzak, Bertold Lysik, Marek Rybaczuk (1990), Dimensional Analysis in the Identification of Mathematical Models, World Scientific, ISBN 9789810203047
 PF Mendez, F Ordóñez (September 2005), "Scaling Laws From Statistical Data and Dimensional Analysis", Journal of Applied Mechanics 72 (5): 648–657, Bibcode 2005JAM....72..648M, doi:10.1115/1.1943434
 G Hart (1994), The theory of dimensioned matrices
 S. Drobo (1954), "On the foundations of dimensional analysis", Studia Mathematica
External links
 List of dimensions for variety of physical quantities
 Unicalc Live web calculator doing units conversion by dimensional analysis
 A C++ implementation of compiletime dimensional analysis in the Boost opensource libraries
 http://www.math.ntnu.no/~hanche/notes/buckingham/buckinghama4.pdf
 Quantity System calculator for units conversion based on dimensional approach
 Units, quantities, and fundamental constants project dimensional analysis maps
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