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Dimensional analysis

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(Redirected fromDimension one)
Analysis of the relationships between different physical quantities

Inengineering andscience,dimensional analysis is the analysis of the relationships between differentphysical quantities by identifying theirbase quantities (such aslength,mass,time, andelectric current) andunits of measurement (such as metres and grams) and tracking these dimensions as calculations or comparisons are performed. The term dimensional analysis is also used to refer toconversion of units from one dimensional unit to another, which can be used to evaluate scientific formulae.

Commensurable physical quantities are of the samekind and have the same dimension, and can be directly compared to each other, even if they are expressed in differing units of measurement; e.g., metres and feet, grams and pounds, seconds and years.Incommensurable physicalquantities are of differentkinds and have different dimensions, and can not be directly compared to each other, no matter whatunits they are expressed in, e.g. metres and grams, seconds and grams, metres and seconds. For example, asking whether a gram is larger than an hour is meaningless.

Any physically meaningfulequation, orinequality,must have the same dimensions on its left and right sides, a property known asdimensional homogeneity. Checking for dimensional homogeneity is a common application of dimensional analysis, serving as a plausibility check onderived equations andcomputations. It also serves as a guide and constraint in deriving equations that may describe a physicalsystem in the absence of a more rigorous derivation.

The concept ofphysical dimension orquantity dimension, and of dimensional analysis, was introduced byJoseph Fourier in 1822.[1]: 42 

Formulation

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"Dimension (physics)" redirects here. For physical dimensions, seeSize.

TheBuckingham π theorem describes how every physically meaningful equation involvingn variables can be equivalently rewritten as an equation ofnm dimensionless parameters, wherem is therank of the dimensionalmatrix. 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 throughnondimensionalization, which begins with dimensional analysis, and involves scaling quantities bycharacteristic units of a system orphysical constants of nature.[1]: 43  This may give insight into the fundamental properties of the system, as illustrated in the examples below.

The dimension of aphysical quantity can be expressed as a product of the base physical dimensions such as length, mass and time, each raised to an integer (and occasionallyrational)power. Thedimension of a physical quantity is more fundamental than somescale orunit used to express the amount of that physical quantity. For example,mass is a dimension, while the kilogram is a particular reference quantity chosen to express a quantity of mass. The choice of unit is arbitrary, and its choice is often based on historical precedent.Natural units, being based on only universal constants, may be thought of as being "less arbitrary".

There are many possible choices of base physical dimensions. TheSI standard selects the following dimensions and correspondingdimension symbols:

time (T),length (L),mass (M),electric current (I),absolute temperature (Θ),amount of substance (N) andluminous intensity (J).

The symbols are by convention usually written inromansans serif typeface.[2] Mathematically, the dimension of the quantityQ is given by

dimQ=TaLbMcIdΘeNfJg{\displaystyle \operatorname {dim} Q={\mathsf {T}}^{a}{\mathsf {L}}^{b}{\mathsf {M}}^{c}{\mathsf {I}}^{d}{\mathsf {\Theta }}^{e}{\mathsf {N}}^{f}{\mathsf {J}}^{g}}

wherea,b,c,d,e,f,g are the dimensional exponents. Other physical quantities could be defined as the base quantities, as long as they form abasis – for instance, one could replace the dimension (I) ofelectric current of the SI basis with a dimension (Q) ofelectric charge, sinceQ = TI.

A quantity that has onlyb ≠ 0 (with all other exponents zero) is known as ageometric quantity. A quantity that has only botha ≠ 0 andb ≠ 0 is known as akinematic quantity. A quantity that has only all ofa ≠ 0,b ≠ 0, andc ≠ 0 is known as adynamic quantity.[3]A quantity that has all exponents null is said to havedimension one.[2]

The unit chosen to express 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 express it. Two different units of the same physical quantity haveconversion factors that relate them. For example,1 in = 2.54 cm; in this case 2.54 cm/in is the conversion factor, which is itself dimensionless. Therefore, multiplying by that conversion factor does not change the dimensions of a physical quantity.

There are also physicists who have cast doubt on the very existence of incompatible fundamental dimensions of physical quantity,[4] although this does not invalidate the usefulness of dimensional analysis.

Simple cases

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As examples, the dimension of the physical quantityspeedv is

dimv=lengthtime=LT=T1L.{\displaystyle \operatorname {dim} v={\frac {\text{length}}{\text{time}}}={\frac {\mathsf {L}}{\mathsf {T}}}={\mathsf {T}}^{-1}{\mathsf {L}}.}

The dimension of the physical quantityaccelerationa is

dima=speedtime=T1LT=T2L.{\displaystyle \operatorname {dim} a={\frac {\text{speed}}{\text{time}}}={\frac {{\mathsf {T}}^{-1}{\mathsf {L}}}{\mathsf {T}}}={\mathsf {T}}^{-2}{\mathsf {L}}.}

The dimension of the physical quantityforceF is

dimF=mass×acceleration=M×T2L=T2LM.{\displaystyle \operatorname {dim} F={\text{mass}}\times {\text{acceleration}}={\mathsf {M}}\times {\mathsf {T}}^{-2}{\mathsf {L}}={\mathsf {T}}^{-2}{\mathsf {L}}{\mathsf {M}}.}

The dimension of the physical quantitypressureP is

dimP=forcearea=T2LML2=T2L1M.{\displaystyle \operatorname {dim} P={\frac {\text{force}}{\text{area}}}={\frac {{\mathsf {T}}^{-2}{\mathsf {L}}{\mathsf {M}}}{{\mathsf {L}}^{2}}}={\mathsf {T}}^{-2}{\mathsf {L}}^{-1}{\mathsf {M}}.}

The dimension of the physical quantityenergyE is

dimE=force×displacement=T2LM×L=T2L2M.{\displaystyle \operatorname {dim} E={\text{force}}\times {\text{displacement}}={\mathsf {T}}^{-2}{\mathsf {L}}{\mathsf {M}}\times {\mathsf {L}}={\mathsf {T}}^{-2}{\mathsf {L}}^{2}{\mathsf {M}}.}

The dimension of the physical quantitypowerP is

dimP=energytime=T2L2MT=T3L2M.{\displaystyle \operatorname {dim} P={\frac {\text{energy}}{\text{time}}}={\frac {{\mathsf {T}}^{-2}{\mathsf {L}}^{2}{\mathsf {M}}}{\mathsf {T}}}={\mathsf {T}}^{-3}{\mathsf {L}}^{2}{\mathsf {M}}.}

The dimension of the physical quantityelectric chargeQ is

dimQ=current×time=TI.{\displaystyle \operatorname {dim} Q={\text{current}}\times {\text{time}}={\mathsf {T}}{\mathsf {I}}.}

The dimension of the physical quantityvoltageV is

dimV=powercurrent=T3L2MI=T3L2MI1.{\displaystyle \operatorname {dim} V={\frac {\text{power}}{\text{current}}}={\frac {{\mathsf {T}}^{-3}{\mathsf {L}}^{2}{\mathsf {M}}}{\mathsf {I}}}={\mathsf {T^{-3}}}{\mathsf {L}}^{2}{\mathsf {M}}{\mathsf {I}}^{-1}.}

The dimension of the physical quantitycapacitanceC is

dimC=electric chargeelectric potential difference=TIT3L2MI1=T4L2M1I2.{\displaystyle \operatorname {dim} C={\frac {\text{electric charge}}{\text{electric potential difference}}}={\frac {{\mathsf {T}}{\mathsf {I}}}{{\mathsf {T}}^{-3}{\mathsf {L}}^{2}{\mathsf {M}}{\mathsf {I}}^{-1}}}={\mathsf {T^{4}}}{\mathsf {L^{-2}}}{\mathsf {M^{-1}}}{\mathsf {I^{2}}}.}

Rayleigh's method

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In dimensional analysis,Rayleigh's method is a conceptual tool used inphysics,chemistry, andengineering. It expresses afunctional relationship of somevariables in the form of anexponential equation. It was named afterLord Rayleigh.

The method involves the following steps:

  1. Gather all theindependent variables that are likely to influence thedependent variable.
  2. IfR is a variable that depends upon independent variablesR1,R2,R3, ...,Rn, then thefunctional equation can be written asR =F(R1,R2,R3, ...,Rn).
  3. Write the above equation in the formR =CR1aR2bR3c ...Rnm, whereC is adimensionless constant anda,b,c, ...,m are arbitrary exponents.
  4. Express each of the quantities in the equation in somebase units in which the solution is required.
  5. By usingdimensional homogeneity, obtain aset ofsimultaneous equations involving the exponentsa,b,c, ...,m.
  6. Solve these equations to obtain the values of the exponentsa,b,c, ...,m.
  7. Substitute the values of exponents in the main equation, and form thenon-dimensionalparameters bygrouping the variables with like exponents.

As a drawback, Rayleigh's method does not provide any information regarding number of dimensionless groups to be obtained as a result of dimensional analysis.

Concrete numbers and base units

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Many parameters and measurements in the physical sciences and engineering are expressed as aconcrete 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 kilometres per hour or 1.4 kilometres per second. Compound relations with "per" are expressed withdivision, e.g. 60 km/h. Other relations can involvemultiplication (often shown with acentered dot orjuxtaposition), powers (like m2 for square metres), or combinations thereof.

A set ofbase units for asystem of measurement is a conventionally chosen set of units, none of which can be expressed as a combination of the others and in terms of which all the remaining units of the system can be expressed.[5] For example, units forlength and time are normally chosen as base units. Units forvolume, however, can be factored into the base units of length (m3), thus they are considered derived or compound units.

Sometimes the names of units obscure the fact that they are derived units. For example, anewton (N) is a unit offorce, which may be expressed as the product of mass (with unit kg) and acceleration (with unit m⋅s−2). The newton is defined as1 N = 1 kg⋅m⋅s−2.

Percentages, derivatives and integrals

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Percentages are dimensionless quantities, since they are ratios of two quantities with the same dimensions. In other words, the % sign can be read as "hundredths", since1% = 1/100.

Taking a derivative with respect to a quantity divides the dimension by the dimension of the variable that is differentiated with respect to. Thus:

  • position (x) has the dimension L (length);
  • derivative of position with respect to time (dx/dt,velocity) has dimension T−1L—length from position, time due to the gradient;
  • the second derivative (d2x/dt2 =d(dx/dt) /dt,acceleration) has dimensionT−2L.

Likewise, taking an integral adds the dimension of the variable one is integrating with respect to, but in the numerator.

In economics, one distinguishes betweenstocks and flows: a stock has a unit (say, widgets or dollars), while a flow is a derivative of a stock, and has a unit of the form of this unit divided by one of time (say, dollars/year).

In some contexts, dimensional quantities are expressed as dimensionless quantities or percentages by omitting some dimensions. 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 the unit year, which indicates that debt-to-GDP 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.

Dimensional homogeneity (commensurability)

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See also:Apples and oranges
Further information:Kind of quantity

The most basic rule of dimensional analysis is that of dimensional homogeneity.[6]

Only commensurable quantities (physical quantities having the same dimension) may becompared,equated,added, orsubtracted.

However, the dimensions form anabelian group under multiplication, so:

One may takeratios ofincommensurable quantities (quantities with different dimensions), andmultiply ordivide them.

For example, it makes no sense to ask whether 1 hour is more, the same, or less than 1 kilometre, as these have different dimensions, nor to add 1 hour to 1 kilometre. However, it makes sense to ask whether 1 mile is more, the same, or less than 1 kilometre, being the same dimension of physical quantity even though the units are different. 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 meaningfulexpression only quantities of the same dimension can be added, subtracted, or compared. For example, ifmman,mrat andLman denote, respectively, the mass of some man, the mass of a rat and the length of that man, the dimensionally homogeneous expressionmman +mrat is meaningful, but the heterogeneous expressionmman +Lman is meaningless. However,mman/L2man is fine. Thus, dimensional analysis may be used as asanity 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, althoughtorque and energy share the dimensionT−2L2M, 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 unit. For example, to compare 32 metres with 35 yards, use1 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 kilometres. This principle gives rise to the form that a conversion factor between two units that measure the same dimension must take 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 metres.

Conversion factor

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Main article:Conversion factor

In dimensional analysis, a ratio which converts one unit of measure into another without changing the quantity is called aconversion factor. For example, kPa and bar are both units of pressure, and100 kPa = 1 bar. The rules of algebra allow both sides of an equation to be divided by the same expression, so this is equivalent to100 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 the unit. For example,5 bar × 100 kPa / 1 bar = 500 kPa because5 × 100 / 1 = 500, and bar/bar cancels out, so5 bar = 500 kPa.

Applications

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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

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A simple application of dimensional analysis to mathematics is in computing the form of thevolume of ann-ball (the solid ball inn dimensions), or the area of its surface, then-sphere: being ann-dimensional figure, the volume scales asxn, while the surface area, being(n − 1)-dimensional, scales asxn−1. Thus the volume of then-ball in terms of the radius isCnrn, for some constantCn. Determining the constant takes more involved mathematics, but the form can be deduced and checked by dimensional analysis alone.

Finance, economics, and accounting

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In finance, economics, and accounting, dimensional analysis is most commonly referred to in terms of thedistinction between stocks and flows. More generally, dimensional analysis is used in interpreting variousfinancial ratios, economics ratios, and accounting ratios.

  • For example, theP/E ratio has dimensions of time (unit: year), and can be interpreted as "years of earnings to earn the price paid".
  • In economics,debt-to-GDP ratio also has the unit year (debt has a unit of currency, GDP has a unit of currency/year).
  • Velocity of money has a unit of 1/years (GDP/money supply has a unit of currency/year over currency): how often a unit of currency circulates per year.
  • Annual continuously compounded interest rates and simple interest rates are often expressed as a percentage (adimensional quantity) while time is expressed as an adimensional quantity consisting of the number of years. However, if the time includes year as the unit of measure, the dimension of the rate is 1/year. Of course, there is nothing special (apart from the usual convention) about using year as a unit of time: any other time unit can be used. Furthermore, if rate and time include their units of measure, the use of different units for each is not problematic. In contrast, rate and time need to refer to a common period if they are adimensional. (Note that effective interest rates can only be defined as adimensional quantities.)
  • In financial analysis,bond duration can be defined as(dV/dr)/V, whereV is the value of a bond (or portfolio),r is the continuously compounded interest rate anddV/dr is a derivative. From the previous point, the dimension ofr is 1/time. Therefore, the dimension of duration is time (usually expressed in years) becausedr is in the "denominator" of the derivative.

Fluid mechanics

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Influid mechanics, dimensional analysis is performed to obtain dimensionlesspi terms or groups. According to the principles of dimensional analysis, any prototype can be described by a series of these terms or groups that describe the behaviour of the system. Using suitable pi terms or groups, it is possible to develop a similar set of pi terms for a model that has the same dimensional relationships.[8] In other words, pi terms provide a shortcut to developing a model representing a certain prototype. Common dimensionless groups in fluid mechanics include:

History

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The origins of dimensional analysis have been disputed by historians.[9][10] The first written application of dimensional analysis has been credited toFrançois Daviet, a student ofJoseph-Louis Lagrange, in a 1799 article at theTurin Academy of Science.[10]

This led to the conclusion that meaningful laws must be homogeneous equations in their various units of measurement, a result which was eventually later formalized in theBuckingham π theorem.Simeon Poisson also treated the same problem of theparallelogram law by Daviet, in his treatise of 1811 and 1833 (vol I, p. 39).[11] In the second edition of 1833, Poisson explicitly introduces the termdimension instead of the Daviethomogeneity.

In 1822, the important Napoleonic scientistJoseph Fourier made the first credited important contributions[12] based on the idea that physical laws likeF =ma should be independent of the units employed to measure the physical variables.

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.[13] 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 ofNewton's law of universal gravitation in which thegravitational constantG is taken asunity, thereby definingM = T−2L3.[14] By assuming a form ofCoulomb's law in which theCoulomb constantke is taken as unity, Maxwell then determined that the dimensions of an electrostatic unit of charge wereQ = T−1L3/2M1/2,[15] which, after substituting hisM = T−2L3 equation for mass, results in charge having the same dimensions as mass, viz.Q = T−2L3.

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 in this way in 1872 byLord Rayleigh, who was trying to understand why the sky is blue.[16] Rayleigh first published the technique in his 1877 bookThe Theory of Sound.[17]

The original meaning of the worddimension, in Fourier'sTheorie de la Chaleur, was the numerical value of the exponents of the base units. For example, acceleration was considered to have the dimension 1 with respect to the unit of length, and the dimension −2 with respect to the unit of time.[18] This was slightly changed by Maxwell, who said the dimensions of acceleration are T−2L, instead of just the exponents.[19]

Examples

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A simple example: period of a harmonic oscillator

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What is the period ofoscillationT of a massm attached to an ideal linear spring with spring constantk suspended in gravity of strengthg? That period is the solution forT of some dimensionless equation in the variablesT,m,k, andg.The four quantities have the following dimensions:T [T];m [M];k [M/T2]; andg [L/T2]. From these we can form only one dimensionless product of powers of our chosen variables,G1 =T2k/m[T2 · M/T2 / M = 1], and puttingG1 =C for some dimensionless constantC 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 mathematicalgroup. They are often calleddimensionless numbers as well.

The variableg does not occur in the group. It is easy to see that it is impossible to form a dimensionless product of powers that combinesg withk,m, andT, becauseg is the only quantity that involves the dimension L. This implies that in this problem theg is irrelevant. Dimensional analysis can sometimes yield strong statements about theirrelevance 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 ofg: 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:T=κmk{\displaystyle T=\kappa {\sqrt {\tfrac {m}{k}}}}, for some dimensionless constantκ (equal toC{\displaystyle {\sqrt {C}}} from the original dimensionless equation).

When faced with a case where dimensional analysis rejects a variable (g, 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 asκ.

A more complex example: energy of a vibrating wire

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Consider the case of a vibrating wire oflength (L) vibrating with anamplitudeA (L). The wire has alinear densityρ (M/L) and is undertensions (LM/T2), and we want to know the energyE (L2M/T2) in the wire. Letπ1 andπ2 be two dimensionless products ofpowers of the variables chosen, given by

π1=EAsπ2=A.{\displaystyle {\begin{aligned}\pi _{1}&={\frac {E}{As}}\\\pi _{2}&={\frac {\ell }{A}}.\end{aligned}}}

The linear density of the wire is not involved. The two groups found can be combined into an equivalent form as an equation

F(EAs,A)=0,{\displaystyle F\left({\frac {E}{As}},{\frac {\ell }{A}}\right)=0,}

whereF is some unknown function, or, equivalently as

E=Asf(A),{\displaystyle E=Asf\left({\frac {\ell }{A}}\right),}

wheref 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 , and so infer thatE =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 adimensionless number such as theReynolds number, which may be interpreted by dimensional analysis.

A third example: demand versus capacity for a rotating disc

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Dimensional analysis and numerical experiments for a rotating disc

Consider the case of a thin, solid, parallel-sided rotating disc of axial thicknesst (L) and radiusR (L). The disc has a densityρ (M/L3), rotates at an angular velocityω (T−1) and this leads to a stressS (T−2L−1M) in the material. There is a theoretical linear elastic solution, given by Lame, to this problem when the disc is thin relative to its radius, the faces of the disc are free to move axially, and the plane stress constitutive relations can be assumed to be valid. As the disc becomes thicker relative to the radius then the plane stress solution breaks down. If the disc is restrained axially on its free faces then a state of plane strain will occur. However, if this is not the case then the state of stress may only be determined though consideration of three-dimensional elasticity and there is no known theoretical solution for this case. An engineer might, therefore, be interested in establishing a relationship between the five variables. Dimensional analysis for this case leads to the following (5 − 3 = 2) non-dimensional groups:

demand/capacity =ρR2ω2/S
thickness/radius or aspect ratio =t/R

Through the use of numerical experiments using, for example, thefinite element method, the nature of the relationship between the two non-dimensional groups can be obtained as shown in the figure. As this problem only involves two non-dimensional groups, the complete picture is provided in a single plot and this can be used as a design/assessment chart for rotating discs.[20]

Properties

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Mathematical properties

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Further information:Buckingham π theorem

The dimensions that can be formed from a given collection of basic physical dimensions, such as T, L, and M, form anabelian group: Theidentity is written as 1;[citation needed]L0 = 1, and the inverse of L is 1/L or L−1. L raised to any integer powerp is a member of the group, having an inverse of Lp or 1/Lp. The operation of the group is multiplication, having the usual rules for handling exponents (Ln × Lm = Ln+m). Physically, 1/L can be interpreted asreciprocal length, and 1/T as reciprocal time (seereciprocal second).

An abelian group is equivalent to amodule over the integers, with the dimensional symbolTiLjMk corresponding to the tuple(i,j,k). When physical measured quantities (be they like-dimensioned or unlike-dimensioned) are multiplied or divided by one other, their dimensional units are likewise multiplied or divided; this corresponds to addition or subtraction in the module. When measurable quantities are raised to an integer power, the same is done to the dimensional symbols attached to those quantities; this corresponds toscalar multiplication in the module.

A basis for such a module of dimensional symbols is called a set ofbase quantities, and all other vectors are called derived units. As in any module, one may choose differentbases, 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, the dimension of dimensionless quantities, corresponds to the origin in this module,(0, 0, 0).

In certain cases, one can define fractional dimensions, specifically by formally defining fractional powers of one-dimensional vector spaces, likeVL1/2.[21] However, it is not possible to take arbitrary fractional powers of units, due torepresentation-theoretic obstructions.[22]

One can work with vector spaces with given dimensions without needing to use units (corresponding to coordinate systems of the vector spaces). For example, given dimensionsM andL, one has the vector spacesVM andVL, and can defineVML :=VMVL as thetensor product. Similarly, the dual space can be interpreted as having "negative" dimensions.[23] This corresponds to the fact that under thenatural pairing between a vector space and its dual, the dimensions cancel, leaving adimensionless scalar.

The set of units of the physical quantities involved in a problem correspond to a set of vectors (or a matrix). Thenullity 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,1, ..., πm}. (In fact these ways completely span the null subspace of another different space, of powers of the measurements.) Every possible way of multiplying (andexponentiating) together the measured quantities to produce something with the same unit as some derived quantityX can be expressed in the general form

X=i=1m(πi)ki.{\displaystyle X=\prod _{i=1}^{m}(\pi _{i})^{k_{i}}\,.}

Consequently, every possiblecommensurate equation for the physics of the system can be rewritten in the form

f(π1,π2,...,πm)=0.{\displaystyle f(\pi _{1},\pi _{2},...,\pi _{m})=0\,.}

Knowing this restriction can be a powerful tool for obtaining new insight into the system.

Mechanics

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The dimension of physical quantities of interest inmechanics can be expressed in terms of base dimensions T, L, and M – these form a 3-dimensional vector space. This is not the only valid choice of base dimensions, 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 achange of basis. The choice of the base set of dimensions is thus a convention, with the benefit of increased utility and familiarity. The choice of base dimensions is not entirely arbitrary, because they must form abasis: they mustspan the space, and belinearly independent.

For example, F, L, M form a set of fundamental dimensions because they form a basis that is equivalent to T, L, M: the former can be expressed as [F = LM/T2], L, M, while the latter can be expressed as [T = (LM/F)1/2], L, M.

On the other hand, length, velocity and time (T, L, V) do not form a set of base dimensions for mechanics, for two reasons:

  • There is no way to obtain mass – or anything derived from it, such as force – without introducing another base dimension (thus, they do notspan the space).
  • Velocity, being expressible in terms of length and time (V = L/T), is redundant (the set is notlinearly independent).

Other fields of physics and chemistry

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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 T, L, M and Q, where Q represents the dimension ofelectric charge. Inthermodynamics, the base set of dimensions is often extended to include a dimension for temperature, Θ. In chemistry, theamount of substance (the number of molecules divided by theAvogadro constant, ≈6.02×1023 mol−1) is also defined as a base dimension, N.In the interaction ofrelativistic plasma with strong laser pulses, a dimensionlessrelativistic similarity parameter, connected with the symmetry properties of the collisionlessVlasov 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 common and necessary features.

Polynomials and transcendental functions

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Bridgman's theorem restricts the type of function that can be used to define a physical quantity from general (dimensionally compounded) quantities to only products of powers of the quantities, unless some of the independent quantities are algebraically combined to yield dimensionless groups, whose functions are grouped together in the dimensionless numeric multiplying factor.[24][25] This excludes polynomials of more than one term or transcendental functions not of that form.

Scalar arguments totranscendental functions such asexponential,trigonometric andlogarithmic functions, or toinhomogeneous polynomials, must bedimensionless 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 identitylog(a/b) = log a − log b, where the logarithm is taken in any base, holds for dimensionless numbersa andb, but it doesnot hold ifa andb are dimensional, because in this case the left-hand side is well-defined but the right-hand side is not.[26]

Similarly, while one can evaluatemonomials (xn) of dimensional quantities, one cannot evaluate polynomials of mixed degree with dimensionless coefficients on dimensional quantities: forx2, the expression(3 m)2 = 9 m2 makes sense (as an area), while forx2 +x, the expression(3 m)2 + 3 m = 9 m2 + 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,

12(9.8 m/s2)t2+(500 m/s)t.{\displaystyle {\tfrac {1}{2}}\cdot (\mathrm {-9.8~m/s^{2}} )\cdot t^{2}+(\mathrm {500~m/s} )\cdot t.}

This is the height to which an object rises in time t if the acceleration ofgravity is 9.8metres per second per second and the initial upward speed is 500metres per second. It is not necessary fort to be inseconds. For example, supposet = 0.01 minutes. Then the first term would be

12(9.8 m/s2)(0.01 min)2=129.8(0.012)(min/s)2m=129.8(0.012)602m.{\displaystyle {\begin{aligned}&{\tfrac {1}{2}}\cdot (\mathrm {-9.8~m/s^{2}} )\cdot (\mathrm {0.01~min} )^{2}\\[10pt]={}&{\tfrac {1}{2}}\cdot -9.8\cdot \left(0.01^{2}\right)(\mathrm {min/s} )^{2}\cdot \mathrm {m} \\[10pt]={}&{\tfrac {1}{2}}\cdot -9.8\cdot \left(0.01^{2}\right)\cdot 60^{2}\cdot \mathrm {m} .\end{aligned}}}

Combining units and numerical values

[edit]
Main article:Physical quantity § Components

The value of a dimensional physical quantityZ is written as the product of aunit [Z] within the dimension and a dimensionless numerical value or numerical factor,n.[27]

Z=n×[Z]=n[Z]{\displaystyle Z=n\times [Z]=n[Z]}

When like-dimensioned quantities are added or subtracted or compared, it is convenient to express them in the same unit 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 metre added to 1 foot is a length, but one cannot derive that length by simply adding 1 and 1. Aconversion factor, which is a ratio of like-dimensioned quantities and is equal to the dimensionless unity, is needed:

1ft=0.3048m{\displaystyle \mathrm {1\,ft} =\mathrm {0.3048\,m} } is identical to1=0.3048m1ft.{\displaystyle 1={\frac {\mathrm {0.3048\,m} }{\mathrm {1\,ft} }}.}

The factor 0.3048 m/ft 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 the same unit so that their numerical values can be added or subtracted.

Only in this manner is it meaningful to speak of adding like-dimensioned quantities of differing units.

Quantity equations

[edit]
Not to be confused withQuantity theory of money.

Aquantity equation, also sometimes called acomplete equation, is an equation that remains valid independently of theunit of measurement used when expressing thephysical quantities.[28]

In contrast, in anumerical-value equation, just the numerical values of the quantities occur, without units. Therefore, it is only valid when each numerical values is referenced to a specific unit.

For example, a quantity equation fordisplacementd asspeeds multiplied by time differencet would be:

d =st

fors = 5 m/s, wheret andd may be expressed in any units,converted if necessary.In contrast, a corresponding numerical-value equation would be:

D = 5T

whereT is the numeric value oft when expressed in seconds andD is the numeric value ofd when expressed in metres.

Generally, the use of numerical-value equations is discouraged.[28]

Dimensionless concepts

[edit]

Constants

[edit]
Main article:Dimensionless quantity

The dimensionless constants that arise in the results obtained, such as theC in the Poiseuille's Law problem and theκ in the spring problems discussed above, come from a more detailed analysis of the underlying physics and often arise 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

[edit]

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 theIsing 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 so-called correlation length,χ) 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 non-analytical part of the free energy per lattice site should be~ 1/χd, whered is the dimension of the lattice.

It has been argued by some physicists, e.g.,Michael J. Duff,[4][29] 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, andG, 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 constantsħ,c, andG (but we can now consider them to be dimensionless) and demanding that a nonsingular relation between quantities exists in the limitc → ∞,ħ → 0 andG → 0. In problems involving a gravitational field the latter limit should be taken such that the field stays finite.

Dimensional equivalences

[edit]

Following are tables of commonly occurring expressions in physics, related to the dimensions of energy, momentum, and force.[30][31][32]

SI units

[edit]
Main article:International System of Units
Energy,E

T−2L2M

ExpressionNomenclature
MechanicalFd{\displaystyle Fd}F =force,d =distance
S/tPt{\displaystyle S/t\equiv Pt}S =action,t = time,P =power
mv2pvp2/m{\displaystyle mv^{2}\equiv pv\equiv p^{2}/m}m =mass,v =velocity,p =momentum
Iω2LωL2/I{\displaystyle I\omega ^{2}\equiv L\omega \equiv L^{2}/I}L =angular momentum,I =moment of inertia,ω =angular velocity
Ideal gasespVNT{\displaystyle pV\equiv NT}p = pressure,V = volume,T = temperature,N =amount of substance
WavesAItASt{\displaystyle AIt\equiv ASt}A =area ofwave front,I = waveintensity,t =time,S =Poynting vector
Electromagneticqϕ{\displaystyle q\phi }q =electric charge,ϕ =electric potential (for changes this isvoltage)
εE2VB2V/μ{\displaystyle \varepsilon E^{2}V\equiv B^{2}V/\mu }E =electric field,B =magnetic field,
ε =permittivity,μ =permeability,
V = 3dvolume
pEmBIAB{\displaystyle pE\equiv mB\equiv IAB}p =electric dipole moment,m = magnetic moment,
A = area (bounded by a current loop),I =electric current in loop
Momentum,p

T−1LM

ExpressionNomenclature
MechanicalmvFt{\displaystyle mv\equiv Ft}m = mass,v = velocity,F = force,t = time
S/rL/r{\displaystyle S/r\equiv L/r}S = action,L = angular momentum,r =displacement
Thermalmv2{\displaystyle m{\sqrt {\left\langle v^{2}\right\rangle }}}v2{\displaystyle {\sqrt {\left\langle v^{2}\right\rangle }}} =root mean square velocity,m = mass (of a molecule)
WavesρVv{\displaystyle \rho Vv}ρ =density,V =volume,v =phase velocity
ElectromagneticqA{\displaystyle qA}A =magnetic vector potential
Force,F

T−2LM

ExpressionNomenclature
Mechanicalmap/t{\displaystyle ma\equiv p/t}m = mass,a = acceleration
ThermalTδS/δr{\displaystyle T\delta S/\delta r}S = entropy,T = temperature,r = displacement (seeentropic force)
ElectromagneticEqBqv{\displaystyle Eq\equiv Bqv}E = electric field,B = magnetic field,v = velocity,q = charge

Programming languages

[edit]

Dimensional correctness as part oftype checking has been studied since 1977.[33]Implementations for Ada[34] and C++[35] were described in 1985 and 1988.Kennedy's 1996 thesis describes an implementation inStandard ML,[36] and later inF#.[37] There are implementations forHaskell,[38]OCaml,[39] andRust,[40] Python,[41] and a code checker forFortran.[42][43]
Griffioen's 2019 thesis extended Kennedy'sHindley–Milner type system to support Hart's matrices.[44][45]McBride and Nordvall-Forsberg show how to usedependent types to extend type systems for units of measure.[46]

Mathematica 13.2 has a function for transformations with quantities named NondimensionalizationTransform that applies a nondimensionalization transform to an equation.[47] Mathematica also has a function to find the dimensions of a unit such as 1 J named UnitDimensions.[48] Mathematica also has a function that will find dimensionally equivalent combinations of a subset of physical quantities named DimensionalCombations.[49] Mathematica can also factor out certain dimension with UnitDimensions by specifying an argument to the function UnityDimensions.[50] For example, you can use UnityDimensions to factor out angles.[50] In addition to UnitDimensions, Mathematica can find the dimensions of a QuantityVariable with the function QuantityVariableDimensions.[51]

Geometry: position vs. displacement

[edit]

Affine quantities

[edit]
Further information:Affine space

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: anorigin. 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 maynot add two positions.

This illustrates the subtle distinction betweenaffine quantities (ones modeled by anaffine space, such as position) andvector quantities (ones modeled by avector 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 spaceacts on an affine space), yielding a new affine quantity.
  • Affine quantities cannot be added, but may be subtracted, yieldingrelative quantities which are vectors, and theserelative differences may then be added to each other or to an affine quantity.

Properly then, positions have dimension ofaffine length, while displacements have dimension ofvector length. To assign a number to anaffine unit, one must not only choose a unit of measurement, but also apoint of reference, while to assign a number to avector 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 ofabsolute zero is not the origin 0 in some scales. For absolute zero,

−273.15 °C ≘ 0 K = 0 °R ≘ −459.67 °F,

where the symbol ≘ meanscorresponds to, since although these values on the respective temperature scales correspond, they represent distinct quantities in the same way that the distances from distinct starting points to the same end point are distinct quantities, and cannot in general be equated.

For temperature differences,

1 K = 1 °C ≠ 1 °F = 1 °R.

(Here °R refers to theRankine scale, not theRéaumur 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

[edit]

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 adirection. (In 1 dimension, this issue is equivalent to the distinction between positive and negative.) Thus, to compare or combine two dimensional quantities in multi-dimensional Euclidean space, one also needs a bearing: they need to be compared to aframe of reference.

This leads to theextensions discussed below, namely Huntley's directed dimensions and Siano's orientational analysis.

Huntley's extensions

[edit]

Huntley has pointed out that a dimensional analysis can become more powerful by discovering new independent dimensions in the quantities under consideration, thus increasing the rankm{\displaystyle m} of the dimensional matrix.[52]

He introduced two approaches:

  • The magnitudes of the components of a vector are to be considered dimensionally independent. For example, rather than an undifferentiated length dimension L, we may have Lx represent dimension 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 the quantity of matter is to be considered dimensionally independent from mass as a measure of inertia.

Directed dimensions

[edit]

As an example of the usefulness of the first approach, suppose we wish to calculate thedistance a cannonball travels when fired with a vertical velocity componentvy{\displaystyle v_{\text{y}}} and a horizontal velocity componentvx{\displaystyle v_{\text{x}}}, assuming it is fired on a flat surface. Assuming no use of directed lengths, the quantities of interest are thenR, the distance travelled, with dimension L,vx{\displaystyle v_{\text{x}}},vy{\displaystyle v_{\text{y}}}, both dimensioned as T−1L, andg the downward acceleration of gravity, with dimension T−2L.

With these four quantities, we may conclude that the equation for the rangeR may be written:

Rvxavybgc.{\displaystyle R\propto v_{\text{x}}^{a}\,v_{\text{y}}^{b}\,g^{c}.}

Or dimensionally

L=(T1L)a+b(T2L)c{\displaystyle {\mathsf {L}}=\left({\mathsf {T}}^{-1}{\mathsf {L}}\right)^{a+b}\left({\mathsf {T}}^{-2}{\mathsf {L}}\right)^{c}}

from which we may deduce thata+b+c=1{\displaystyle a+b+c=1} anda+b+2c=0{\displaystyle a+b+2c=0}, which leaves one exponent undetermined. This is to be expected since we have two fundamental dimensions T and L, and four parameters, with one equation.

However, if we use directed length dimensions, thenvx{\displaystyle v_{\mathrm {x} }} will be dimensioned as T−1Lx,vy{\displaystyle v_{\mathrm {y} }} as T−1Ly,R as Lx andg as T−2Ly. The dimensional equation becomes:

Lx=(T1Lx)a(T1Ly)b(T2Ly)c{\displaystyle {\mathsf {L}}_{\mathrm {x} }=\left({{\mathsf {T}}^{-1}}{{\mathsf {L}}_{\mathrm {x} }}\right)^{a}\left({{\mathsf {T}}^{-1}}{{\mathsf {L}}_{\mathrm {y} }}\right)^{b}\left({{\mathsf {T}}^{-2}}{{\mathsf {L}}_{\mathrm {y} }}\right)^{c}}

and we may solve completely asa = 1,b = 1 andc = −1. The increase in deductive power gained by the use of directed length dimensions is apparent.

Huntley's concept of directed length dimensions however has some serious limitations:

  • It does not deal well with vector equations involving thecross product,
  • nor does it handle well the use ofangles as physical variables.

It also is often quite difficult to assign the L, Lx, Ly, Lz, 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 directed length dimensions to real problems.

Quantity of matter

[edit]

In Huntley's second approach, he holds that it is sometimes 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 the quantity of matter.Quantity of matter is defined by Huntley as a quantity onlyproportional to inertial mass, while not implicating inertial properties. No further restrictions are added to its definition.

For example, consider the derivation ofPoiseuille'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:

SymbolVariableDimension
m˙{\displaystyle {\dot {m}}}mass flow rateT−1M
px{\displaystyle p_{\text{x}}}pressure gradient along the pipeT−2L−2M
ρdensityL−3M
ηdynamic fluid viscosityT−1L−1M
rradius of the pipeL

There are three fundamental variables, so the above five equations will yield two independent dimensionless variables:

π1=m˙ηr{\displaystyle \pi _{1}={\frac {\dot {m}}{\eta r}}}
π2=pxρr5m˙2{\displaystyle \pi _{2}={\frac {p_{\mathrm {x} }\rho r^{5}}{{\dot {m}}^{2}}}}

If we distinguish between inertial mass with dimensionMi{\displaystyle M_{\text{i}}} and quantity of matter with dimensionMm{\displaystyle M_{\text{m}}}, then mass flow rate and density will use quantity of matter 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:

C=pxρr4ηm˙{\displaystyle C={\frac {p_{\mathrm {x} }\rho r^{4}}{\eta {\dot {m}}}}}

where now onlyC is an undetermined constant (found to be equal toπ/8{\displaystyle \pi /8} by methods outside of dimensional analysis). This equation may be solved for the mass flow rate to yieldPoiseuille's law.

Huntley's recognition of quantity of matter as an independent quantity dimension is evidently successful in the problems where it is applicable, but his definition of quantity of matter is open to interpretation, as it lacks specificity beyond the two requirements he postulated for it. For a given substance, the SI dimensionamount of substance, with unitmole, does satisfy Huntley's two requirements as a measure of quantity of matter, and could be used as a quantity of matter in any problem of dimensional analysis where Huntley's concept is applicable.

Siano's extension: orientational analysis

[edit]
See also:Angle § Dimensional analysis

Angles are, by convention, considered to be dimensionless quantities (although the wisdom of this is contested[53]) . As an example, consider again the projectile problem in which a point mass is launched from the origin(x,y) = (0, 0) at a speedv and angleθ above thex-axis, with the force of gravity directed along the negativey-axis. It is desired to find the rangeR, at which point the mass returns to thex-axis. Conventional analysis will yield the dimensionless variableπ =Rg/v2, but offers no insight into the relationship betweenR andθ.

Siano has suggested that the directed dimensions of Huntley be replaced by usingorientational symbols1x 1y 1z to denote vector directions, and an orientationless symbol 10.[54] Thus, Huntley's Lx becomes L1x with L specifying the dimension of length, and1x specifying the orientation. Siano further shows that the orientational symbols have an algebra of their own. Along with the requirement that1i−1 = 1i, the following multiplication table for the orientation symbols results:

10{\displaystyle \mathbf {1_{0}} }1x{\displaystyle \mathbf {1_{\text{x}}} }1y{\displaystyle \mathbf {1_{\text{y}}} }1z{\displaystyle \mathbf {1_{\text{z}}} }
10{\displaystyle \mathbf {1_{0}} }10{\displaystyle 1_{0}}1x{\displaystyle 1_{\text{x}}}1y{\displaystyle 1_{\text{y}}}1z{\displaystyle 1_{\text{z}}}
1x{\displaystyle \mathbf {1_{\text{x}}} }1x{\displaystyle 1_{\text{x}}}10{\displaystyle 1_{0}}1z{\displaystyle 1_{\text{z}}}1y{\displaystyle 1_{\text{y}}}
1y{\displaystyle \mathbf {1_{\text{y}}} }1y{\displaystyle 1_{\text{y}}}1z{\displaystyle 1_{\text{z}}}10{\displaystyle 1_{0}}1x{\displaystyle 1_{\text{x}}}
1z{\displaystyle \mathbf {1_{\text{z}}} }1z{\displaystyle 1_{\text{z}}}1y{\displaystyle 1_{\text{y}}}1x{\displaystyle 1_{\text{x}}}10{\displaystyle 1_{0}}

The orientational symbols form a group (theKlein four-group 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 z-direction has the orientation of1z. For angles, consider an angleθ that lies in the z-plane. Form a right triangle in the z-plane withθ being one of the acute angles. The side of the right triangle adjacent to the angle then has an orientation1x and the side opposite has an orientation1y. Since (using~ to indicate orientational equivalence)tan(θ) =θ + ... ~ 1y/1x we conclude that an angle in the xy-plane must have an orientation1y/1x = 1z, which is not unreasonable. Analogous reasoning forces the conclusion thatsin(θ) has orientation1z whilecos(θ) has orientation 10. These are different, so one concludes (correctly), for example, that there are no solutions of physical equations that are of the forma cos(θ) +b sin(θ), wherea andb are real scalars. An expression such assin(θ+π/2)=cos(θ){\displaystyle \sin(\theta +\pi /2)=\cos(\theta )} is not dimensionally inconsistent since it is a special case of the sum of angles formula and should properly be written:

sin(a1z+b1z)=sin(a1z)cos(b1z)+sin(b1z)cos(a1z),{\displaystyle \sin \left(a\,1_{\text{z}}+b\,1_{\text{z}}\right)=\sin \left(a\,1_{\text{z}})\cos(b\,1_{\text{z}}\right)+\sin \left(b\,1_{\text{z}})\cos(a\,1_{\text{z}}\right),}

which fora=θ{\displaystyle a=\theta } andb=π/2{\displaystyle b=\pi /2} yieldssin(θ1z+[π/2]1z)=1zcos(θ1z){\displaystyle \sin(\theta \,1_{\text{z}}+[\pi /2]\,1_{\text{z}})=1_{\text{z}}\cos(\theta \,1_{\text{z}})}. Siano distinguishes between geometric angles, which have an orientation in 3-dimensional space, and phase angles associated with time-based oscillations, which have no spatial orientation, i.e. the orientation of a phase angle is10{\displaystyle 1_{0}}.

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 more information about acceptable solutions of physical problems. In this approach, one solves the dimensional equation 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, putting it intonormal form. The orientational equation is then solved to give a more restrictive condition on the unknown powers of the orientational symbols. The solution is then 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 xy-plane will thus have dimension1z and the range of the projectileR will be of the form:

R=gavbθc which means L1x(L1yT2)a(LT)b1zc.{\displaystyle R=g^{a}\,v^{b}\,\theta ^{c}{\text{ which means }}{\mathsf {L}}\,1_{\mathrm {x} }\sim \left({\frac {{\mathsf {L}}\,1_{\text{y}}}{{\mathsf {T}}^{2}}}\right)^{a}\left({\frac {\mathsf {L}}{\mathsf {T}}}\right)^{b}\,1_{\mathsf {z}}^{c}.\,}

Dimensional homogeneity will now correctly yielda = −1 andb = 2, and orientational homogeneity requires that1x/(1ya1zc)=1zc+1=1{\displaystyle 1_{x}/(1_{y}^{a}1_{z}^{c})=1_{z}^{c+1}=1}. In other words, thatc must be an odd integer. In fact, the required function of theta will besin(θ)cos(θ) which is a series consisting of odd powers ofθ.

It is seen that the Taylor series ofsin(θ) andcos(θ) are orientationally homogeneous using the above multiplication table, while expressions likecos(θ) + sin(θ) andexp(θ) are not, and are (correctly) deemed unphysical.

Siano's orientational analysis is compatible with the conventional conception of angular quantities as being dimensionless, and within orientational analysis, theradian may still be considered a dimensionless unit. The orientational analysis of a quantity equation is carried out separately from the ordinary dimensional analysis, yielding information that supplements the dimensional analysis.

See also

[edit]

Related areas of mathematics

[edit]

Notes

[edit]
  1. ^abBolster, Diogo; Hershberger, Robert E.; Donnelly, Russell E. (September 2011)."Dynamic similarity, the dimensionless science".Physics Today.64 (9):42–47.Bibcode:2011PhT....64i..42B.doi:10.1063/PT.3.1258.
  2. ^abBIPM (2019). "2.3.3 Dimensions of quantities".SI Brochure: The International System of Units (SI)(PDF) (in English and French) (v. 1.08, 9th ed.). pp. 136–137.ISBN 978-92-822-2272-0. Retrieved1 September 2021.
  3. ^Yalin, M. Selim (1971)."Principles of the Theory of Dimensions".Theory of Hydraulic Models. pp. 1–34.doi:10.1007/978-1-349-00245-0_1.ISBN 978-1-349-00247-4.
  4. ^abDuff, M.J.; Okun, L.B.; Veneziano, G. (September 2002), "Trialogue on the number of fundamental constants",Journal of High Energy Physics,2002 (3): 023,arXiv:physics/0110060,Bibcode:2002JHEP...03..023D,doi:10.1088/1126-6708/2002/03/023,S2CID 15806354
  5. ^JCGM (2012),JCGM 200:2012 – International vocabulary of metrology – Basic and general concepts and associated terms (VIM)(PDF) (3rd ed.), archived fromthe original(PDF) on 23 September 2015, retrieved2 June 2015
  6. ^Cimbala, John; Çengel, Yunus (2006)."§7-2 Dimensional homogeneity".Essential of Fluid Mechanics: Fundamentals and Applications. McGraw-Hill. p. 203–.ISBN 9780073138350.
  7. ^de Jong, Frits J.; Quade, Wilhelm (1967).Dimensional analysis for economists. North Holland. p. 28.
  8. ^Waite, Lee; Fine, Jerry (2007).Applied Biofluid Mechanics. New York: McGraw-Hill. p. 260.ISBN 978-0-07-147217-3.
  9. ^Macagno, Enzo O. (1971). "Historico-critical review of dimensional analysis".Journal of the Franklin Institute.292 (6):391–340.doi:10.1016/0016-0032(71)90160-8.
  10. ^abMartins, Roberto De A. (1981). "The origin of dimensional analysis".Journal of the Franklin Institute.311 (5):331–337.doi:10.1016/0016-0032(81)90475-0.
  11. ^Martins, p. 403 in the Proceedings book containing his article
  12. ^Mason, Stephen Finney (1962),A history of the sciences, New York: Collier Books, p. 169,ISBN 978-0-02-093400-4
  13. ^Roche, John J (1998),The Mathematics of Measurement: A Critical History, Springer, p. 203,ISBN 978-0-387-91581-4,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.
  14. ^Maxwell, James Clerk (1873),A Treatise on Electricity and Magnetism, p. 4
  15. ^Maxwell, James Clerk (1873),A Treatise on Electricity and Magnetism, Clarendon Press series, Oxford, p. 45,hdl:2027/uc1.l0065867749
  16. ^(Pesic 2005)
  17. ^Rayleigh, Baron John William Strutt (1877),The Theory of Sound, Macmillan
  18. ^Fourier (1822), p. 156.
  19. ^Maxwell, James Clerk (1873),A Treatise on Electricity and Magnetism, volume 1, p. 5
  20. ^Ramsay, Angus."Dimensional Analysis and Numerical Experiments for a Rotating Disc".Ramsay Maunder Associates. Retrieved15 April 2017.
  21. ^Tao 2012, "With a bit of additional effort (and taking full advantage of the one-dimensionality of the vector spaces), one can also define spaces with fractional exponents ...".
  22. ^Tao 2012, "However, when working with vector-valued quantities in two and higher dimensions, there are representation-theoretic obstructions to taking arbitrary fractional powers of units ...".
  23. ^Tao 2012 "Similarly, one can defineVT−1 as the dual space toVT ..."
  24. ^Bridgman 1922, 2. Dimensional Formulas pp. 17–27
  25. ^Berberan-Santos, Mário N.; Pogliani, Lionello (1999)."Two alternative derivations of Bridgman's theorem"(PDF).Journal of Mathematical Chemistry.26:255–261, See §5 General Results p. 259.doi:10.1023/A:1019102415633.S2CID 14833238.
  26. ^Berberan-Santos & Pogliani 1999, p. 256
  27. ^For a review of the different conventions in use see:Pisanty, E (17 September 2013)."Square bracket notation for dimensions and units: usage and conventions".Physics Stack Exchange. Retrieved15 July 2014.
  28. ^abThompson, Ambler (November 2009).Guide for the Use of the International System of Units (SI): The Metric System(PDF). DIANE Publishing.ISBN 9781437915594.
  29. ^Duff, Michael James (July 2004). "Comment on time-variation of fundamental constants".arXiv:hep-th/0208093v3.
  30. ^Woan, G. (2010),The Cambridge Handbook of Physics Formulas, Cambridge University Press,ISBN 978-0-521-57507-2
  31. ^Mosca, Gene; Tipler, Paul Allen (2007),Physics for Scientists and Engineers – with Modern Physics (6th ed.), San Francisco: W. H. Freeman,ISBN 978-0-7167-8964-2
  32. ^Martin, B.R.; Shaw, G.; Manchester Physics (2008),Particle Physics (2nd ed.), Wiley,ISBN 978-0-470-03294-7
  33. ^Gehani, N. (1977). "Units of measure as a data attribute".Comput. Lang.2 (3):93–111.doi:10.1016/0096-0551(77)90010-8.
  34. ^Gehani, N. (June 1985). "Ada's derived types and units of measure".Software: Practice and Experience.15 (6):555–569.doi:10.1002/spe.4380150604.S2CID 40558757.
  35. ^Cmelik, R. F.; Gehani, N. H. (May 1988). "Dimensional analysis with C++".IEEE Software.5 (3):21–27.doi:10.1109/52.2021.S2CID 22450087.
  36. ^Kennedy, Andrew J. (April 1996).Programming languages and dimensions (Phd). Vol. 391. University of Cambridge.ISSN 1476-2986. UCAM-CL-TR-391.
  37. ^Kennedy, A. (2010). "Types for Units-of-Measure: Theory and Practice". In Horváth, Z.; Plasmeijer, R.; Zsók, V. (eds.).Central European Functional Programming School. CEFP 2009. Lecture Notes in Computer Science. Vol. 6299. Springer. pp. 268–305.CiteSeerX 10.1.1.174.6901.doi:10.1007/978-3-642-17685-2_8.ISBN 978-3-642-17684-5.
  38. ^Gundry, Adam (December 2015)."A typechecker plugin for units of measure: domain-specific constraint solving in GHC Haskell"(PDF).SIGPLAN Notices.50 (12):11–22.doi:10.1145/2887747.2804305.Archived(PDF) from the original on 10 August 2017.
  39. ^Garrigue, J.; Ly, D. (2017)."Des unités dans le typeur"(PDF).28ièmes Journées Francophones des Langaeges Applicatifs, Jan 2017, Gourette, France (in French). hal-01503084.Archived(PDF) from the original on 10 November 2020.
  40. ^Teller, David (January 2020)."Units of Measure in Rust with Refinement Types".
  41. ^Grecco, Hernan E. (2022)."Pint: makes units easy".
  42. ^"CamFort: Specify, verify, and refactor Fortran code". University of Cambridge; University of Kent. 2018.
  43. ^Bennich-Björkman, O.; McKeever, S. (2018). "The next 700 unit of measurement checkers".Proceedings of the 11th ACM SIGPLAN International Conference on Software Language Engineering. pp. 121–132.doi:10.1145/3276604.3276613.ISBN 978-1-4503-6029-6.S2CID 53089559.
  44. ^Hart 1995
  45. ^Griffioen, P. (2019).A unit-aware matrix language and its application in control and auditing(PDF) (Thesis). University of Amsterdam.hdl:11245.1/fd7be191-700f-4468-a329-4c8ecd9007ba.Archived(PDF) from the original on 21 February 2020.
  46. ^McBride, Conor; Nordvall-Forsberg, Fredrik (2022)."Type systems for programs respecting dimensions"(PDF).Advanced Mathematical and Computational Tools in Metrology and Testing XII. Advances in Mathematics for Applied Sciences. World Scientific. pp. 331–345.doi:10.1142/9789811242380_0020.ISBN 9789811242380.S2CID 243831207.Archived(PDF) from the original on 17 May 2022.
  47. ^"NondimensionalizationTransform—Wolfram Language Documentation".reference.wolfram.com. Retrieved19 April 2023.
  48. ^"UnitDimensions—Wolfram Language Documentation".reference.wolfram.com. Retrieved19 April 2023.
  49. ^"DimensionalCombinations—Wolfram Language Documentation".reference.wolfram.com. Retrieved19 April 2023.
  50. ^ab"UnityDimensions—Wolfram Language Documentation".reference.wolfram.com. Retrieved19 April 2023.
  51. ^"QuantityVariableDimensions—Wolfram Language Documentation".reference.wolfram.com. Retrieved19 April 2023.
  52. ^(Huntley 1967)
  53. ^Quincey, Paul (2021)."Angles in the SI: a detailed proposal for solving the problem".Metrologia.58 (5): 053002.arXiv:2108.05704.Bibcode:2021Metro..58e3002Q.doi:10.1088/1681-7575/ac023f.
  54. ^Siano (1985-I,1985-II)

References

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Further reading

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  • Giancoli, Douglas C. (2014). "1. Introduction, Measurement, Estimating §1.8 Dimensions and Dimensional Analysis".Physics: Principles with Applications (7th ed.). Pearson.ISBN 978-0-321-62592-2.OCLC 853154197.

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