Dimensional analysis
It has been suggested that Units of measurement#Calculations with units of measurement be merged into this article. (Discuss) Proposed since May 2014.

In engineering and science, dimensional analysis is the analysis of the relationships between different physical quantities by identifying their fundamental dimensions (such as length, mass, time, and electric charge) and units of measure (such as miles vs. kilometers, or pounds vs. kilograms vs. grams) and tracking these dimensions as calculations or comparisons are performed. Converting from one dimensional unit to another is often somewhat complex. Dimensional analysis, or more specifically the factorlabel method, also known as the unitfactor method, is a widely used technique for such conversions using the rules of algebra.^{[1]}^{[2]}^{[3]}
The concept of physical dimension was introduced by Joseph Fourier in 1822.^{[4]} Physical quantities that are commensurable have the same dimension; if they have different dimensions, they are incommensurable. For example, it is meaningless to ask whether a kilogram is less, the same, or more than an hour.
Any physically meaningful equation (and likewise any inequality and inequation) will have the same dimensions on the left and right sides, a property known as "dimensional homogeneity". Checking this is a common application of dimensional analysis. Dimensional analysis is also routinely used as a check on the plausibility of derived equations and computations. It is generally used to categorize types of physical quantities and units based on their relationship to or dependence on other units.^{[clarification needed]}
Contents
 1 Concrete numbers and base units
 2 Conversion factor
 3 Dimensional homogeneity
 4 The factorlabel method for converting units
 5 Applications
 6 History
 7 Mathematical examples
 8 Examples
 9 Extensions
 10 Dimensionless concepts
 11 Dimensional equivalences
 12 See also
 13 Notes
 14 References
 15 External links
Concrete numbers and base units
Many parameters and measurements in the physical sciences and engineering are expressed as a concrete number – a numerical quantity and a corresponding dimensional unit. Often a quantity is expressed in terms of several other quantities; for example, speed is a combination of length and time, e.g. 60 miles per hour or 1.4 km per second. Compound relations with "per" are expressed with division, e.g. 60 mi/1 h. Other relations can involve multiplication (often shown with · or juxtaposition), powers (like m^{2} for square meters), or combinations thereof.
A unit of measure that is in a conventionally chosen subset of a given system of units, where no unit in the set can be expressed in terms of the others, is known as a base unit.^{[5]} For example, units for length and time are normally chosen as base units. Units for volume, however, can be factored into the base units of length (m^{3}), thus being derived or compound units.
Sometimes the names of units obscure that they are derived units. For example, an ampere is a unit of electric current, which is equivalent to electric charge per unit time and is measured in coulombs (a unit of electrical charge) per second, so 1 A = 1 C/s. One newton is 1 kg⋅m/s^{2}.
Percentages and derivatives
Percentages are dimensionless quantities, since they are ratios of two quantities with the same dimensions. In other words, the % sign can be read as "1/100", since 1% = 1/100.
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 the dimension L (length);
 derivative of position with respect to time (dx/dt, velocity) has dimension LT^{−1} – length from position, time from the derivative;
 the second derivative (d^{2}x/dt^{2}, acceleration) has dimension LT^{−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).
In some contexts, dimensional quantities are expressed as dimensionless quantities or percentages by omitting some dimensions. For example, debttoGDP 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 DebttoGDP should have units of years, which indicates that DebttoGDP is the number of years needed for a constant GDP to pay the debt, if all GDP is spent on the debt and the debt is otherwise unchanged.
Conversion factor
It has been suggested that conversion factor be merged into this article. (Discuss) Proposed since May 2014.

In dimensional analysis, a ratio which converts one unit of measure into another without changing the quantity is called a conversion factor. For example, kPa and bar are both units of pressure, and 100 kPa = 1 bar. The rules of algebra allow both sides of an equation to be divided by the same expression, so this is equivalent to 100 kPa / 1 bar = 1. Since any quantity can be multiplied by 1 without changing it, the expression "100 kPa / 1 bar" can be used to convert from bars to kPa by multiplying it with the quantity to be converted, including units. For example, 5 bar × 100 kPa / 1 bar = 500 kPa because 5 × 100 / 1 = 500, and bar/bar cancels out, so 5 bar = 500 kPa.
Dimensional homogeneity
The most basic rule of dimensional analysis is that of dimensional homogeneity.^{[6]} Only commensurable quantities (quantities with the same dimensions) may be compared, equated, added, or subtracted. However, the dimensions form a "multiplicative group" and consequently:
 One may take ratios of incommensurable quantities (quantities with different dimensions), and multiply or divide them.
For example, it makes no sense to ask whether 1 hour is more, the same, 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.
The rule implies 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 dimensionally homogeneous expression m_{man} + m_{rat} is meaningful, but the heterogeneous expression 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.
Even when two physical quantities have identical dimensions, it may nevertheless be meaningless to compare or add them. For example, although torque and energy share the dimension L^{2}MT^{−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 first to 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.
A related principle is that any physical law that accurately describes the real world must be independent of the units used to measure the physical variables.^{[7]} For example, Newton's laws of motion must hold true whether distance is measured in miles or kilometers. This principle gives rise to the form that conversion factors must take between units that measure the same dimension: multiplication by a simple constant. It also ensures equivalence; for example, if two buildings are the same height in feet, then they must be the same height in meters.
The factorlabel method for converting units
The factorlabel method is the sequential application of conversion factors expressed as fractions and arranged so that any dimensional unit appearing in both the numerator and denominator of any of the fractions can be cancelled out until only the desired set of dimensional units is obtained. For example, 10 miles per hour can be converted to meters per second by using a sequence of conversion factors as shown below:
It can be seen that each conversion factor is equivalent to the value of one. For example, starting with 1 mile = 1609 meters and dividing both sides of the equation by 1 mile yields 1 mile / 1 mile = 1609 meters / 1 mile, which when simplified yields 1 = 1609 meters / 1 mile.
So, when the units mile and hour are cancelled out and the arithmetic is done, 10 miles per hour converts to 4.47 meters per second.
As a more complex example, the concentration of nitrogen oxides (i.e., NOx) in the flue gas from an industrial furnace can be converted to a mass flow rate expressed in grams per hour (i.e., g/h) of NOx by using the following information as shown below:
 NOx concentration
 = 10 parts per million by volume = 10 ppmv = 10 volumes/10^{6} volumes
 NOx molar mass
 = 46 kg/kgmol (sometimes also expressed as 46 kg/kmol)
 Flow rate of flue gas
 = 20 cubic meters per minute = 20 m³/min
 The flue gas exits the furnace at 0 °C temperature and 101.325 kPa absolute pressure.
 The molar volume of a gas at 0 °C temperature and 101.325 kPa is 22.414 m³/kgmol.
After cancelling out any dimensional units that appear both in the numerators and denominators of the fractions in the above equation, the NOx concentration of 10 ppm_{v} converts to mass flow rate of 24.63 grams per hour.
Checking equations that involve dimensions
The factorlabel method can also be used on any mathematical equation to check whether or not the dimensional units on the left hand side of the equation are the same as the dimensional units on the right hand side of the equation. Having the same units on both sides of an equation does not guarantee that the equation is correct, but having different units on the two sides of an equation does guarantee that the equation is wrong.
For example, check the Universal Gas Law equation of P·V = n·R·T, when:
 the pressure P is in pascals (Pa)
 the volume V is in cubic meters (m³)
 the amount of substance n is in moles (mol)
 the universal gas law constant R is 8.3145 Pa·m³/(mol·K)
 the temperature T is in kelvins (K)
As can be seen, when the dimensional units appearing in the numerator and denominator of the equation's right hand side are cancelled out, both sides of the equation have the same dimensional units.
Limitations
The factorlabel method can convert only unit quantities for which the units are in a linear relationship intersecting at 0. Most units fit this paradigm. An example for which it cannot be used is the conversion between degrees Celsius and kelvins (or Fahrenheit). Between degrees Celsius and kelvins, there is a constant difference rather than a constant ratio, while between Celsius and Fahrenheit there is neither a constant difference nor a constant ratio. There is however an affine transform (), (rather than a linear transform ()) between them.
For example, the freezing point of water is 0 °C and 32 °F, and a 5 °C change is the same as a 9 °F change. Thus, to convert from units of Fahrenheit to units of Celsius, one subtracts 32 °F (the offset from the point of reference), divides by 9 °F and multiplies by 5 °C (scales by the ratio of units), and adds 0 °C (the offset from the point of reference). Reversing this yields the formula for obtaining a quantity in units of Celsius from units of Fahrenheit; one could have started with the equivalence between 100 °C and 212 °F, though this would yield the same formula at the end.
Hence, to convert the numerical quantity value of a temperature F in Fahrenheit to a numerical quantity value C in Celsius, this formula may be used:
 C = (F − 32) × 5/9.
To convert C in Celsius to F in Fahrenheit, this formula may be used:
 F = (C × 9/5) + 32.
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 n dimensions), or the area of its surface, the nsphere: being an ndimensional figure, the volume scales as while the surface area, being dimensional, scales as Thus the volume of the nball in terms of the radius is for some constant 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 referred to in terms of the distinction between stocks and flows. More generally, dimensional analysis is 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^{[8]} of 1/Years (GDP/Money supply has units of Currency/Year over Currency): how often a unit of currency circulates per year.
 Interest rates are often expressed as a percentage, but more properly percent per annum, which has dimensions of 1/Years.
Fluid mechanics
Common dimensionless groups in fluid mechanics include:
 Reynolds number (Re) generally important in all types of fluid problems.
 Re = ρVd/μ
 Froude number (Fr) modeling flow with a free surface.
 Fr = V/√(gL)
 Euler number (Eu) used in problems in which pressure is of interest.
 Eu = V/(p/ρ)
History
The origins of dimensional analysis have been disputed by historians.^{[9]}^{[10]} The 19thcentury French mathematician Joseph Fourier is generally credited with having made important contributions^{[11]} 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. However, the first application of dimensional analysis has been credited to the Italian scholar François Daviet de Foncenex (1734–1799). It was published in 1761, 61 years before the publication of Fourier’s work.^{[10]} 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.^{[12]} Although Maxwell defined length, time and mass to be "the three fundamental units", he also noted that gravitational mass can be derived from length and time by assuming a form of Newton's law of universal gravitation in which the gravitational constant G is taken as unity, giving M = L^{3}T^{−2}.^{[13]} By assuming a form of Coulomb's law in which Coulomb's constant k_{e} is taken as unity, Maxwell then determined that the dimensions of an electrostatic unit of charge were Q = L^{3/2}M^{1/2}T^{−1},^{[14]} which, after substituting his M = L^{3}T^{−2} equation for mass, results in charge having the same dimensions as mass, viz. Q = L^{3}T^{−2}.
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. Rayleigh first published the technique in his 1877 book The Theory of Sound.^{[15]}
Mathematical examples
The Buckingham π 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 rank of the dimensional matrix. 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 dimension of a physical quantity can be expressed as a product of the basic physical dimensions length, mass, time, electric charge, and absolute temperature, represented by sansserif roman symbols L, M, T, Q, and Θ,^{[16]} respectively, each raised to a rational power.
The SI standard recommends the usage of the following dimensions and corresponding symbols: length (L), mass (M), time (T), electric current (I), absolute temperature (Θ), amount of substance (N) and luminous intensity (J).^{[17]}
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 length/time (L/T or LT^{−1}), and the dimension of the physical quantity force is "mass × acceleration" or "mass×(length/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 degree of freedom, which can be expressed in terms of energy (or mass, length, and time). Still others do not recognize electric current, I, 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,^{[18]} although this does not invalidate the usefulness of dimensional analysis.
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 metres, feet, inches, miles or micrometres; but any length always has a dimension of L, no matter what units of length are 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; in this case (2.54 cm/in) is the conversion factor, and is itself dimensionless. Therefore, multiplying by that conversion factor does not change a quantity. Dimensional symbols do not have conversion factors.
Mathematical properties
The dimensions that can be formed from a given collection of basic physical dimensions, such as M, L, and T, form an abelian group: The identity is written as 1; 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}).
This group can be described as 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).
The group identity 1, the dimension of dimensionless quantities, corresponds 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 exponentiating) 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
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 the dimension 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 (the number of molecules divided by Avogadro's constant, ≈ 6.02 × 10^{23}) is defined as a base unit 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 criticaldensities 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 common and necessary features.
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.)
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.^{[16]}
When likedimensioned quantities are added or subtracted or compared, it is convenient to express them 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 one cannot derive that length by simply adding 1 and 1. 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
Some discussions of dimensional analysis implicitly describe all quantities as mathematical vectors. (In mathematics scalars are considered a special case of vectors^{[citation needed]}; vectors can be added to or subtracted from other vectors, and, inter alia, multiplied or divided by scalars. If a vector is used to define a position, 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 the numeric value of absolute zero is not the origin 0 in some scales. For absolute zero,
 0 K = −273.15 °C = −459.67 °F = 0 °R,
but for temperature differences,
 1 K = 1 °C ≠ 1 °F = 1 °R.
(Here °R refers to the Rankine scale, not the Réaumur scale). Unit conversion for temperature differences is simply a matter of multiplying by, e.g., 1 °F / 1 K (although the ratio is not a constant value). But because some of these scales have origins that do not correspond to absolute zero, conversion from one temperature scale to another requires accounting for that. As a result, simple dimensional analysis can lead to errors if it is ambiguous whether 1 K means the absolute temperature equal to −272.15 °C, or the temperature difference equal to 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.
Examples
A simple example: period of a harmonic oscillator
What is the period of oscillation of a mass attached to an ideal linear spring with spring constant suspended in gravity of strength ? That period is the solution for of some dimensionless equation in the variables , , , and . The four quantities have the following dimensions: [T]; [M]; [M/T^{2}]; and [L/T^{2}]. From these we can form only one dimensionless product of powers of our chosen variables, = [T^{2} · M/T^{2} / M = 1], and putting for some dimensionless constant gives the dimensionless equation sought. The dimensionless product of powers of variables is sometimes referred to as a dimensionless group of variables; here the term "group" means "collection" rather than mathematical group. They are often called dimensionless numbers as well.
Note that the variable does not occur in the group. It is easy to see that it is impossible to form a dimensionless product of powers that combines with , , and , because is the only quantity that involves the dimension L. This implies that in this problem the is irrelevant. 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 : 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 (equal to from the original dimensionless equation).
When faced with a case where dimensional analysis rejects a variable (, here) that one intuitively expects to belong in a physical description of the situation, another possibility is that the rejected variable is in fact relevant, but 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 only one dimensionless group, as here, there are no unknown functions, and the solution is said to be "complete" – although it still may involve unknown dimensionless constants, such as κ.
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 dimension L, we may have L_{x} represent dimension in the xdirection, 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 cannonball travels when fired with a vertical velocity component and a horizontal velocity component , assuming it is fired on a flat surface. Assuming no use of directed lengths, the quantities of interest are then , , both dimensioned as LT^{−1}, R, the distance travelled, having dimension L, and g the downward acceleration of gravity, with dimension LT^{−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 and , which leaves one exponent undetermined. This is to be expected since we have two fundamental dimensions L and T, and four parameters, with one equation.
If, however, we use directed length dimensions, then will be dimensioned as L_{x}T^{−1}, as L_{y}T^{−1}, R as L_{x} and g as L_{y}T^{−2}. The dimensional equation becomes:
and we may solve completely as , and . 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 dimension MT^{−1}
 the pressure gradient along the pipe with dimension ML^{−2}T^{−2}
 the density with dimension ML^{−3}
 the dynamic fluid viscosity with dimension ML^{−1}T^{−1}
 the radius of the pipe with dimension 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 dimension and substantial mass with dimension , 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 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 (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 L_{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 zplane 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 xyplane 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 is not dimensionally inconsistent since it is a special case of the sum of angles formula and should properly be written:
which for and yields . Physical quantities may be expressed as complex numbers (e.g. ) 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.
Dimensionless concepts
Constants
The dimensionless constants that arise in the results obtained, such as the C in the Poiseuille's Law problem and the 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, ) becomes larger and larger. Now, the correlation length is the relevant length scale related to critical phenomena, so one can, e.g., surmise on "dimensional grounds" that the nonanalytical part of the free energy per lattice site should be where is the dimension of the lattice.
It has been argued by some physicists, e.g., M. J. Duff,^{[18]}^{[19]} 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.
Dimensional equivalences
Following are tables of commonly occurring expressions in physics, related to the dimensions of energy, momentum, and force.^{[20]}^{[21]}^{[22]}
SI units
Energy E . in ML^{2}T^{−2} 
Expression  Nomenclature 

Mechanical  F = force, d = distance  
S = action, t = time, P = power  
m = mass, v = velocity, p = momentum  
L = angular momentum, I = moment of inertia, ω = angular velocity  
Thermal  p = pressure, T = temperature, S = entropy, k_{B} = boltzmann constant, R = gas constant  
Waves  I = wave intensity, S = Poynting vector  
Electromagnetic  q = electric charge, ϕ = electric potential (for changes this is voltage)  
E = electric field, B = magnetic field, ε= permittivity, μ = permeability, V = 3d volume 

p = electric dipole moment, m = magnetic moment, A = area (bounded by a current loop), I = electric current in loop 
Momentum p MLT^{−1} 
Expression  Nomenclature 

Mechanical  m = mass, v = velocity, F = force, t = time  
S = action, L = angular momentum, r = displacement  
Thermal  = root mean square velocity, m = mass (of a molecule)  
Waves  ρ = mass density, V = 3d volume, v phase velocity,  
Electromagnetic  A = magnetic vector potential 
Force F
MLT^{−2} 
Expression  Nomenclature 

Mechanical  m = mass, a = acceleration  
Thermal  S entropy, T = temperature, r = displacement (see entropic force)  
Waves  ρ = mass density, V = 3d volume, v phase velocity,  
Electromagnetic  E = electric field, B = magnetic field, v = velocity, q = charge 
Natural units
If c = ħ = 1, where c is the speed of light and ħ is the reduced Planck constant, and a suitable fixed unit of energy is chosen, then all quantities of length L, mass M and time T can be expressed (dimensionally) as a power of energy E, because length, mass and time can be expressed using speed v, action S, and energy E:^{[22]}
though speed and action are dimensionless (v = c = 1 and S = ħ = 1) – so the only remaining quantity with dimension is energy. In terms of powers of dimensions:
This is particularly useful in particle physics and high energy physics, in which case the energy unit is the electron volt (eV). Dimensional checks and estimates become very simple in this system.
However, if electric charges and currents are involved, another unit to be fixed is for electric charge, normally the electron charge e though other choices are possible.
Quantity  p, q, r powers of energy  n power of energy  

p  q  r  n  
Action S  1  2  –1  0 
Speed v  0  1  –1  0 
Mass M  1  0  0  1 
Length L  0  1  0  –1 
Time t  0  0  1  –1 
Momentum p  1  1  –1  1 
Energy E  1  2  –2  1 
See also
 Rayleigh's method of dimensional analysis
 Conversion of units – includes tables of conversion factors
 Units of measurement
 System of measurement
 Fermi problem – used to teach dimensional analysis
 Similitude (model) – an application of dimensional analysis
Related areas of math
Notes
 ↑ Goldberg, David (2006). Fundamentals of Chemistry (5th ed.). McGrawHill. ISBN 007322104X.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 ↑ Ogden, James (1999). The Handbook of Chemical Engineering. Research & Education Association. ISBN 0878919821.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 ↑ Dimensional Analysis or the Factor Label Method
 ↑ Fourier, Joseph. Théorie analytique de la chaleur, Firmin Didot, Paris, 1822.
 ↑ JCGM 200:2012 International vocabulary of metrology – Basic and general concepts and associated terms (VIM)
 ↑ Cimbala and Cengel (2006), Fluid Mechanics: Fundamentals and Applications, McGrawHill. Chapter 7: "Dimensional Analysis and Modeling, Section 72: "Dimensional homogeneity" [1]
 ↑ de Jong, Frits J.; Quade, Wilhelm (1967). Dimensional analysis for economists. North Holland. p. 28.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 ↑ "It's just a flesh wound...", Steve Keen
 ↑ Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 ↑ ^{10.0} ^{10.1} Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 ↑ Mason, Stephen Finney (1962), A history of the sciences, New York: Collier Books, p. 169, ISBN 0020934009<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 ↑ Roche, John J (1998), The Mathematics of Measurement: A Critical History, 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.
<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>  ↑ Maxwell, James Clerk (1873), A Treatise on Electricity and Magnetism, p. 4<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 ↑ Maxwell, James Clerk (1873), A Treatise on Electricity and Magnetism, p. 45<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 ↑ Rayleigh, Baron John William Strutt (1877), The Theory of Sound, Macmillan<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 ↑ ^{16.0} ^{16.1} For a review of the different conventions in use see: Pisanty, E (20130917). "Square bracket notation for dimensions and units: usage and conventions". Physics Stack Exchange. Retrieved 20140715.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 ↑ "SI Brochure (8th edition). Section 1.3: Dimensions of quantities". BIPM. Retrieved 20130808.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 ↑ ^{18.0} ^{18.1} Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 ↑ Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 ↑ Woan, G. (2010), The Cambridge Handbook of Physics Formulas, Cambridge University Press, ISBN 9780521575072<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 ↑ Mosca, Gene; Tipler, Paul Allen (2007), Physics for Scientists and Engineers – with Modern Physics (6th ed.), San Francisco: W. H. Freeman, ISBN 0716789647<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 ↑ ^{22.0} ^{22.1} Martin, B.R.; Shaw, G.; Manchester Physics (2008), Particle Physics (2nd ed.), Wiley, ISBN 9780470032947<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
References
 Barenblatt, G. I. (1996), Scaling, SelfSimilarity, and Intermediate Asymptotics, Cambridge, UK: Cambridge University Press, ISBN 0521435226<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Barnett II, William (2007), "Dimensions and Economics: Some Problems" (PDF), Quarterly Journal of Austrian Economics, 7 (1)<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 Boucher; Alves (1960), "Dimensionless Numbers", Chem. Eng. Progress, 55: 55–64<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Bridgman, P. W. (1922), Dimensional Analysis, Yale University Press, ISBN 0548910294<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 Drobot, S. (1953–1954), "On the foundations of dimensional analysis" (PDF), Studia Mathematica, 14: 84–99<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Gibbings, J.C. (2011), Dimensional Analysis, Springer, ISBN 1849963169<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Hart, George W. (1994), "The theory of dimensioned matrices", in Lewis, John G., Proceedings of the Fifth SIAM Conference on Applied Linear Algebra, SIAM, pp. 186–190, ISBN 9780898713367<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles> As postscript
 Hart, George W. (1995), Multidimensional Analysis: Algebras and Systems for Science and Engineering, SpringerVerlag, ISBN 0387944176<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Huntley, H. E. (1967), Dimensional Analysis, Dover, LOC 6717978<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 Langhaar, H. L. (1951), Dimensional Analysis and Theory of Models, Wiley, ISBN 0882756826<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 Moody, L. F. (1944), "Friction Factors for Pipe Flow", Trans. Am. Soc. Mech. Engrs., 66 (671)<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Murphy, N. F. (1949), "Dimensional Analysis", Bull. V.P.I., 42 (6)<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Perry, J. H.; et al. (1944), "Standard System of Nomenclature for Chemical Engineering Unit Operations", Trans. Am. Inst. Chem. Engrs., 40 (251)<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Pesic, Peter (2005), Sky in a Bottle, MIT Press, pp. 227–8, ISBN 0262162342<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 Porter, Alfred W. (1933), The Method of Dimensions (3rd ed.), Methuen<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 Silberberg, I. H.; McKetta, J. J. Jr. (1953), "Learning How to Use Dimensional Analysis", Petrol. Refiner, 32 (4): 5<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>, (5): 147, (6): 101, (7): 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" (PDF), Adv. Studies Theor. Phys., 2 (20): 979–995<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Van Driest, E. R. (March 1946), "On Dimensional Analysis and the Presentation of Data in Fluid Flow Problems", J. App. Mech, 68 (A–34)<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Lua error in Module:Citation/CS1/Identifiers at line 47: attempt to index field 'wikibase' (a nil value).
 Vignaux, GA (1992), Erickson, Gary J.; Neudorfer, Paul O., ed., Dimensional Analysis in Data Modelling, Kluwer Academic, ISBN 079232031X <templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
 Kasprzak, Wacław; Lysik, Bertold; Rybaczuk, Marek (1990), Dimensional Analysis in the Identification of Mathematical Models, World Scientific, ISBN 9789810203047<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
External links
The Wikibook Fluid Mechanics has a page on the topic of: Dimensional analysis 
 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
 Buckingham’s pitheorem
 Quantity System calculator for units conversion based on dimensional approach
 Units, quantities, and fundamental constants project dimensional analysis maps
 Bowley, Roger (2009). "[ ] Dimensional Analysis". Sixty Symbols. Brady Haran for the University of Nottingham.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
Converting units
 Unicalc Live web calculator doing units conversion by dimensional analysis
 Math Skills Review
 U.S. EPA tutorial
 A Discussion of Units
 Short Guide to Unit Conversions
 Cancelling Units Lesson
 Chapter 11: Behavior of Gases Chemistry: Concepts and Applications, Denton Independent School District
 Air Dispersion Modeling Conversions and Formulas
 www.gnu.org/software/units free program, very practical
 Articles to be merged from May 2014
 Wikipedia articles needing clarification from May 2014
 Articles with unsourced statements from August 2010
 Articles with unsourced statements from September 2013
 CS1 maint: Multiple names: editors list
 Dimensional analysis
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