#set document(title: "1.4 Dimensional Analysis", author: "OpenStax / XYZ Homework") #set page(width: 8.5in, height: auto, margin: 1in) #import "@preview/cetz:0.5.2" #set text(font: ("STIX Two Text", "Libertinus Serif", "New Computer Modern"), size: 10.5pt, lang: "en") #show math.equation: set text(font: ("STIX Two Math", "New Computer Modern Math")) #set par(justify: true, leading: 0.62em, spacing: 0.9em) #set enum(spacing: 1.1em) // room between list items so tall inline fractions don't collide #set list(spacing: 1.1em) #set table(stroke: 0.5pt + rgb("#c7ccd3")) #let BLUE = rgb("#183B6F") // brand navy — section bars + example/solution labels (white on navy 11.09:1) #let ORANGE = rgb("#A94509") // brand primary-700 — AA-safe deep orange for TEXT (5.93:1 on white; raw brand #F37021 is 2.94:1 and must never carry text) #let RED = rgb("#DC2626") // brand error-600 #let GREEN = rgb("#059669") // brand success-600 (decoration only; small green text uses green-text #007942) #show heading.where(level: 1): it => block(width: 100%, above: 0pt, below: 16pt, fill: gradient.linear(BLUE, rgb("#2C5AA0")), inset: (x: 14pt, y: 12pt), radius: 3pt, text(fill: white, weight: "bold", size: 19pt, it.body)) #show heading.where(level: 2): it => block(width: 100%, above: 18pt, below: 10pt, fill: BLUE, inset: (x: 10pt, y: 6pt), radius: 2pt, text(fill: white, weight: "bold", size: 12pt, it.body)) #show heading.where(level: 3): it => text(fill: ORANGE, weight: "bold", size: 12.5pt, it.body) #show heading.where(level: 4): it => text(fill: BLUE, weight: "bold", size: 10.5pt, it.body) #let examplebox(label, title, body) = block(width: 100%, breakable: true, fill: rgb("#EFF1F5"), stroke: 0.5pt + rgb("#CFDDF0"), radius: 4pt, inset: 10pt, above: 12pt, below: 12pt)[ #block(below: 6pt)[#box(fill: BLUE, inset: (x: 6pt, y: 2pt), radius: 2pt, text(fill: white, weight: "bold", size: 8.5pt, label)) #h(0.4em) #strong[#title]] #body] // rail = decorative left rule (raw brand token); labelcolor = AA-safe label text shade #let notebox(label, rail, labelcolor, tint, body) = block(width: 100%, breakable: true, fill: tint, stroke: (left: 3pt + rail), inset: (left: 10pt, rest: 8pt), radius: (right: 4pt), above: 11pt, below: 11pt)[ #text(fill: labelcolor, weight: "bold", size: 7.5pt, tracking: 0.5pt)[#upper(label)] #linebreak() #body] #let solutionbox(body) = block(above: 4pt, below: 8pt)[ #text(fill: BLUE, weight: "bold", size: 8.5pt)[Solution] #linebreak() #body] #let figph(msg) = block(width: 100%, height: 60pt, fill: rgb("#f6f7f9"), stroke: (paint: rgb("#c7ccd3"), dash: "dashed"), radius: 4pt, inset: 10pt)[ #align(center + horizon, text(fill: rgb("#889"), style: "italic", size: 9pt, msg))] // Standardize inlined figure sizes: measure the natural CeTZ canvas, then scale to a // consistent envelope (aspect-aware; see build_typst.py FIG_* constants). Unlike the // print preamble, dimensions are FLOORED: in an editor a user can trim a figure to a // degenerate 1-D shape (a bare line), and w/h or tw/w would then divide by zero. #let _STD_W = 3.5 #let _WIDE_W = 5.6 #let _MAX_H = 3.4 #let _ASPECT_WIDE = 2.2 #let _UPSCALE_MAX = 1.15 #let stdfig(body) = context { let m = measure(body) let w = calc.max(m.width / 1in, 0.01) let h = calc.max(m.height / 1in, 0.01) let tw = if w / h > _ASPECT_WIDE { _WIDE_W } else { _STD_W } let s = calc.min(tw / w, _MAX_H / h, _UPSCALE_MAX) align(center, box(scale(x: s * 100%, y: s * 100%, reflow: true, body))) } #show figure: set block(breakable: false) #set figure(gap: 8pt) #show figure.caption: set text(size: 8.5pt, fill: rgb("#555")) == 1.4#h(0.6em)Dimensional Analysis The #strong[dimension] of any physical quantity expresses its dependence on the base quantities as a product of symbols (or powers of symbols) representing the base quantities. lists the base quantities and the symbols used for their dimension. For example, a measurement of length is said to have dimension L or L#super[1], a measurement of mass has dimension M or M#super[1], and a measurement of time has dimension T or T#super[1]. Like units, dimensions obey the rules of algebra. Thus, area is the product of two lengths and so has dimension L#super[2], or length squared. Similarly, volume is the product of three lengths and has dimension L#super[3], or length cubed. Speed has dimension length over time, L/T or LT#super[–1]. Volumetric mass density has dimension M/L#super[3] or ML#super[–3], or mass over length cubed. In general, the dimension of any physical quantity can be written as #math.equation(block: false, alt: "L to the power a M to the power b T to the power c I to the power d Θ to the power e N to the power f J to the power g")[$"L"^(a) "M"^(b) "T"^(c) "I"^(d) "Θ"^(e) "N"^(f) "J"^(g)$] for some powers #math.equation(block: false, alt: "a , b , c , d , e , f ,")[$a , b , c , d , e , f ,$] and #emph[g]. We can write the dimensions of a length in this form with #math.equation(block: false, alt: "a equals 1")[$a = 1$] and the remaining six powers all set equal to zero: #math.equation(block: false, alt: "L to the power 1 equals L to the power 1 M to the power 0 T to the power 0 I to the power 0 Θ to the power 0 N to the power 0 J to the power 0 .")[$"L"^(1) = "L"^(1) "M"^(0) "T"^(0) "I"^(0) "Θ"^(0) "N"^(0) "J"^(0) .$] Any quantity with a dimension that can be written so that all seven powers are zero (that is, its dimension is #math.equation(block: false, alt: "L to the power 0 M to the power 0 T to the power 0 I to the power 0 Θ to the power 0 N to the power 0 J to the power 0")[$"L"^(0) "M"^(0) "T"^(0) "I"^(0) "Θ"^(0) "N"^(0) "J"^(0)$]) is called #strong[dimensionless] (or sometimes “of dimension 1,” because anything raised to the zero power is one). Physicists often call dimensionless quantities #emph[pure numbers]. #figure(table( columns: 2, align: left, inset: 6pt, table.header([#strong[Base Quantity]], [#strong[Symbol for Dimension]]), [Length], [L], [Mass], [M], [Time], [T], [Current], [I], [Thermodynamic temperature], [Θ], [Amount of substance], [N], [Luminous intensity], [J], )) Physicists often use square brackets around the symbol for a physical quantity to represent the dimensions of that quantity. For example, if #math.equation(block: false, alt: "r")[$r$] is the radius of a cylinder and #math.equation(block: false, alt: "h")[$h$] is its height, then we write #math.equation(block: false, alt: "[ r ] equals L")[$[ r ] = "L"$] and #math.equation(block: false, alt: "[ h ] equals L")[$[ h ] = "L"$] to indicate the dimensions of the radius and height are both those of length, or L. Similarly, if we use the symbol #math.equation(block: false, alt: "A")[$A$] for the surface area of a cylinder and #math.equation(block: false, alt: "V")[$V$] for its volume, then \[#emph[A]\] = L#super[2] and \[#emph[V]\] = L#super[3]. If we use the symbol #math.equation(block: false, alt: "m")[$m$] for the mass of the cylinder and #math.equation(block: false, alt: "ρ")[$ρ$] for the density of the material from which the cylinder is made, then #math.equation(block: false, alt: "[ m ] equals M")[$[ m ] = "M"$] and #math.equation(block: false, alt: "[ ρ ] equals ML to the power −3 .")[$[ ρ ] = "ML"^(−3) .$] The importance of the concept of dimension arises from the fact that any mathematical equation relating physical quantities must be #strong[dimensionally consistent], which means the equation must obey the following rules: - Every term in an expression must have the same dimensions; it does not make sense to add or subtract quantities of differing dimension (think of the old saying: “You can’t add apples and oranges”). In particular, the expressions on each side of the equality in an equation must have the same dimensions. - The arguments of any of the standard mathematical functions such as trigonometric functions (such as sine and cosine), logarithms, or exponential functions that appear in the equation must be dimensionless. These functions require pure numbers as inputs and give pure numbers as outputs. If either of these rules is violated, an equation is not dimensionally consistent and cannot possibly be a correct statement of physical law. This simple fact can be used to check for typos or algebra mistakes, to help remember the various laws of physics, and even to suggest the form that new laws of physics might take. This last use of dimensions is beyond the scope of this text, but is something you may learn later in your academic career. #examplebox("Example 1")[Using Dimensions to Remember an Equation][ Suppose we need the formula for the area of a circle for some computation. Like many people who learned geometry too long ago to recall with any certainty, two expressions may pop into our mind when we think of circles: #math.equation(block: false, alt: "π r squared")[$π r^(2)$] and #math.equation(block: false, alt: "2 π r .")[$2 π r .$] One expression is the circumference of a circle of radius #emph[r] and the other is its area. But which is which? Strategy One natural strategy is to look it up, but this could take time to find information from a reputable source. Besides, even if we think the source is reputable, we shouldn’t trust everything we read. It is nice to have a way to double-check just by thinking about it. Also, we might be in a situation in which we cannot look things up (such as during a test). Thus, the strategy is to find the dimensions of both expressions by making use of the fact that dimensions follow the rules of algebra. If either expression does not have the same dimensions as area, then it cannot possibly be the correct equation for the area of a circle. Solution We know the dimension of area is L#super[2]. Now, the dimension of the expression #math.equation(block: false, alt: "π r squared")[$π r^(2)$] is #math.equation(block: true, alt: "[ π r squared ] equals [ π ] times [ r ] squared equals 1 times L squared equals L squared ,")[$[ π r^(2) ] = [ π ] · attach([ r ], t: 2) = 1 · "L"^(2) = "L"^(2) ,$] since the constant #math.equation(block: false, alt: "π")[$π$] is a pure number and the radius #math.equation(block: false, alt: "r")[$r$] is a length. Therefore, #math.equation(block: false, alt: "π r squared")[$π r^(2)$] has the dimension of area. Similarly, the dimension of the expression #math.equation(block: false, alt: "2 π r")[$2 π r$] is #math.equation(block: true, alt: "[ 2 π r ] equals [ 2 ] times [ π ] times [ r ] equals 1 times 1 times L equals L,")[$[ 2 π r ] = [ 2 ] · [ π ] · [ r ] = 1 · 1 · "L" = "L,"$] since the constants #math.equation(block: false, alt: "2")[$2$] and #math.equation(block: false, alt: "π")[$π$] are both dimensionless and the radius #math.equation(block: false, alt: "r")[$r$] is a length. We see that #math.equation(block: false, alt: "2 π r")[$2 π r$] has the dimension of length, which means it cannot possibly be an area. We rule out #math.equation(block: false, alt: "2 π r")[$2 π r$] because it is not dimensionally consistent with being an area. We see that #math.equation(block: false, alt: "π r squared")[$π r^(2)$] is dimensionally consistent with being an area, so if we have to choose between these two expressions, #math.equation(block: false, alt: "π r squared")[$π r^(2)$] is the one to choose. Significance This may seem like kind of a silly example, but the ideas are very general. As long as we know the dimensions of the individual physical quantities that appear in an equation, we can check to see whether the equation is dimensionally consistent. On the other hand, knowing that true equations are dimensionally consistent, we can match expressions from our imperfect memories to the quantities for which they might be expressions. Doing this will not help us remember dimensionless factors that appear in the equations (for example, if you had accidentally conflated the two expressions from the example into #math.equation(block: false, alt: "2 π r squared ,")[$2 π r^(2) ,$] then dimensional analysis is no help), but it does help us remember the correct basic form of equations. ] #notebox("Note", rgb("#8a94a6"), rgb("#556666"), rgb("#f7f8fa"))[ Suppose we want the formula for the volume of a sphere. The two expressions commonly mentioned in elementary discussions of spheres are #math.equation(block: false, alt: "4 π r squared")[$4 π r^(2)$] and #math.equation(block: false, alt: "4 π r cubed / 3 .")[$4 π r^(3) "/" 3 .$] One is the volume of a sphere of radius #emph[r] and the other is its surface area. Which one is the volume? #solutionbox[ #math.equation(block: true, alt: "4 π r cubed / 3")[$4 π r^(3) "/" 3$] ] ] #examplebox("Example 2")[Checking Equations for Dimensional Consistency][ Consider the physical quantities #math.equation(block: false, alt: "s ,")[$s ,$] #math.equation(block: false, alt: "v ,")[$v ,$] #math.equation(block: false, alt: "a ,")[$a ,$] and #math.equation(block: false, alt: "t")[$t$] with dimensions #math.equation(block: false, alt: "[ s ] equals L ,")[$[ s ] = "L" ,$] #math.equation(block: false, alt: "[ v ] equals LT to the power −1 ,")[$[ v ] = "LT"^(−1) ,$] #math.equation(block: false, alt: "[ a ] equals LT to the power −2 ,")[$[ a ] = "LT"^(−2) ,$] and #math.equation(block: false, alt: "[ t ] equals T .")[$[ t ] = "T" .$] Determine whether each of the following equations is dimensionally consistent: (a) #math.equation(block: false, alt: "s equals v t plus 0.5 a t squared ;")[$s = v t + 0.5 a t^(2) ;$] (b) #math.equation(block: false, alt: "s equals v t squared plus 0.5 a t ;")[$s = v t^(2) + 0.5 a t ;$] and (c) #math.equation(block: false, alt: "v equals sin open parenthesis a t squared / s close parenthesis .")[$v = "sin" ( a t^(2) "/" s ) .$] Strategy By the definition of dimensional consistency, we need to check that each term in a given equation has the same dimensions as the other terms in that equation and that the arguments of any standard mathematical functions are dimensionless. Solution + There are no trigonometric, logarithmic, or exponential functions to worry about in this equation, so we need only look at the dimensions of each term appearing in the equation. There are three terms, one in the left expression and two in the expression on the right, so we look at each in turn: #math.equation(block: true, alt: "[ s ] equals L; [ v t ] equals [ v ] times [ t ] equals LT to the power −1 times T equals LT to the power 0 equals L; [ 0.5 a t squared ] equals [ a ] times [ t ] squared equals LT to the power −2 times T squared equals LT to the power 0 equals L .")[$[ s ] = "L" \ [ v t ] = [ v ] · [ t ] = "LT"^(−1) · "T" = "LT"^(0) = "L" \ [ 0.5 a t^(2) ] = [ a ] · attach([ t ], t: 2) = "LT"^(−2) · "T"^(2) = "LT"^(0) = "L" "."$] All three terms have the same dimension, so this equation is dimensionally consistent. + Again, there are no trigonometric, exponential, or logarithmic functions, so we only need to look at the dimensions of each of the three terms appearing in the equation: #math.equation(block: true, alt: "[ s ] equals L; [ v t squared ] equals [ v ] times [ t ] squared equals LT to the power −1 times T squared equals LT; [ a t ] equals [ a ] times [ t ] equals LT to the power −2 times T equals LT to the power −1 .")[$[ s ] = "L" \ [ v t^(2) ] = [ v ] · attach([ t ], t: 2) = "LT"^(−1) · "T"^(2) = "LT" \ [ a t ] = [ a ] · [ t ] = "LT"^(−2) · "T" = "LT"^(−1) .$] None of the three terms has the same dimension as any other, so this is about as far from being dimensionally consistent as you can get. The technical term for an equation like this is #emph[nonsense]. + This equation has a trigonometric function in it, so first we should check that the argument of the sine function is dimensionless: #math.equation(block: true, alt: "[ the fraction a t squared over s ] equals the fraction [ a ] times [ t ] squared over [ s ] equals the fraction LT to the power −2 times T squared over L equals the fraction L over L equals 1 .")[$[ frac(a t^(2), s) ] = frac([ a ] · attach([ t ], t: 2), [ s ]) = frac("LT"^(−2) · "T"^(2), "L") = frac("L", "L") = 1 .$] The argument is dimensionless. So far, so good. Now we need to check the dimensions of each of the two terms (that is, the left expression and the right expression) in the equation: #math.equation(block: true, alt: "[ v ] equals LT to the power −1; [ sin open parenthesis the fraction a t squared over s close parenthesis ] equals 1 .")[$[ v ] = "LT"^(−1) \ [ "sin" ( frac(a t^(2), s) ) ] = 1 .$] The two terms have different dimensions—meaning, the equation is not dimensionally consistent. This equation is another example of “nonsense.” Significance If we are trusting people, these types of dimensional checks might seem unnecessary. But, rest assured, any textbook on a quantitative subject such as physics (including this one) almost certainly contains some equations with typos. Checking equations routinely by dimensional analysis save us the embarrassment of using an incorrect equation. Also, checking the dimensions of an equation we obtain through algebraic manipulation is a great way to make sure we did not make a mistake (or to spot a mistake, if we made one). ] #notebox("Note", rgb("#8a94a6"), rgb("#556666"), rgb("#f7f8fa"))[ Is the equation #emph[v] = #emph[at] dimensionally consistent? #solutionbox[ yes ] ] One further point that needs to be mentioned is the effect of the operations of calculus on dimensions. We have seen that dimensions obey the rules of algebra, just like units, but what happens when we take the derivative of one physical quantity with respect to another or integrate a physical quantity over another? The derivative of a function is just the slope of the line tangent to its graph and slopes are ratios, so for physical quantities #emph[v] and #emph[t], we have that the dimension of the derivative of #emph[v] with respect to #emph[t] is just the ratio of the dimension of #emph[v] over that of #emph[t]: #math.equation(block: true, alt: "[ the fraction d v over d t ] equals the fraction [ v ] over [ t ] .")[$[ frac(d v, d t) ] = frac([ v ], [ t ]) .$] Similarly, since integrals are just sums of products, the dimension of the integral of #emph[v] with respect to #emph[t] is simply the dimension of #emph[v] times the dimension of #emph[t]: #math.equation(block: true, alt: "[ ∫ v d t ] equals [ v ] times [ t ] .")[$[ display(∫ v) d t ] = [ v ] · [ t ] .$] By the same reasoning, analogous rules hold for the units of physical quantities derived from other quantities by integration or differentiation. === Summary - The dimension of a physical quantity is just an expression of the base quantities from which it is derived. - All equations expressing physical laws or principles must be dimensionally consistent. This fact can be used as an aid in remembering physical laws, as a way to check whether claimed relationships between physical quantities are possible, and even to derive new physical laws. === Problems A student is trying to remember some formulas from geometry. In what follows, assume #math.equation(block: false, alt: "A")[$A$] is area, #math.equation(block: false, alt: "V")[$V$] is volume, and all other variables are lengths. Determine which formulas are dimensionally consistent. (a) #math.equation(block: false, alt: "V equals π r squared h ;")[$V = π r^(2) h ;$] (b) #math.equation(block: false, alt: "A equals 2 π r squared plus 2 π r h ;")[$A = 2 π r^(2) + 2 π r h ;$] (c) #math.equation(block: false, alt: "V equals 0.5 b h ;")[$V = 0.5 b h ;$] (d) #math.equation(block: false, alt: "V equals π d squared ;")[$V = π d^(2) ;$] (e) #math.equation(block: false, alt: "V equals π d cubed / 6 .")[$V = π d^(3) "/" 6 .$] Consider the physical quantities #emph[s], #emph[v, a,] and #emph[t] with dimensions #math.equation(block: false, alt: "[ s ] equals L ,")[$[ s ] = "L" ,$] #math.equation(block: false, alt: "[ v ] equals LT to the power −1 ,")[$[ v ] = "LT"^(−1) ,$] #math.equation(block: false, alt: "[ a ] equals LT to the power −2 ,")[$[ a ] = "LT"^(−2) ,$] and #math.equation(block: false, alt: "[ t ] equals T .")[$[ t ] = "T" .$] Determine whether each of the following equations is dimensionally consistent. (a) #math.equation(block: false, alt: "v squared equals 2 a s ;")[$v^(2) = 2 a s ;$] (b) #math.equation(block: false, alt: "s equals v t squared plus 0.5 a t squared ;")[$s = v t^(2) + 0.5 a t^(2) ;$] (c) #math.equation(block: false, alt: "v equals s / t ;")[$v = s "/" t ;$] (d) #math.equation(block: false, alt: "a equals v / t .")[$a = v "/" t .$] #solutionbox[ a. Yes, both terms have dimension L#super[2]T#super[-2] b. No. c. Yes, both terms have dimension LT#super[-1] d. Yes, both terms have dimension LT#super[-2] ] Consider the physical quantities #math.equation(block: false, alt: "m")[$m$], #math.equation(block: false, alt: "s")[$s$], #math.equation(block: false, alt: "v")[$v$], #math.equation(block: false, alt: "a")[$a$], #math.equation(block: false, alt: "t")[$t$], and #math.equation(block: false, alt: "r")[$r$] with dimensions \[#emph[m]\] = M, \[#emph[s]\] = L, \[#emph[v]\] = LT#super[–1], \[#emph[a]\] = LT#super[–2], \[#emph[t]\] = T, and \[#emph[r]\] = L. Assuming each of the following equations is dimensionally consistent, find the dimension of the quantity on the left-hand side of the equation: (a) #emph[F] = #emph[ma]; (b) #emph[K] = 0.5#emph[mv]#super[2]; (c) #emph[p] = #emph[mv]; (d) #emph[W] = #emph[mas]; (e) #emph[L = mvr]. Suppose quantity #math.equation(block: false, alt: "s")[$s$] is a length and quantity #math.equation(block: false, alt: "t")[$t$] is a time. Suppose the quantities #math.equation(block: false, alt: "v")[$v$] and #math.equation(block: false, alt: "a")[$a$] are defined by #emph[v] = #emph[ds]/#emph[dt] and #emph[a] = #emph[dv]/#emph[dt]. (a) What is the dimension of #emph[v]? (b) What is the dimension of the quantity #emph[a]? What are the dimensions of (c) #math.equation(block: false, alt: "∫ v d t ,")[$display(∫ v) d t ,$] (d) #math.equation(block: false, alt: "∫ a d t ,")[$display(∫ a) d t ,$] and (e) #emph[da]/#emph[dt]? #solutionbox[ a. \[v\] = LT#super[–1]; b. \[a\] = LT#super[–2]; c. #math.equation(block: false, alt: "[ ∫ v d t ] equals L;")[$[ display(∫ v) d t ] = "L;"$] d. #math.equation(block: false, alt: "[ ∫ a d t ] equals LT to the power –1 ;")[$[ display(∫ a) d t ] = "LT"^(–1) ";"$] e. #math.equation(block: false, alt: "[ the fraction d a over d t ] equals LT to the power –3")[$[ frac(d a, d t) ] = "LT"^(–3)$] ] Suppose \[V\] = L#super[3], #math.equation(block: false, alt: "[ ρ ] equals ML to the power –3 ,")[$[ ρ ] = "ML"^(–3) ,$] and \[t\] = T. (a) What is the dimension of #math.equation(block: false, alt: "∫ ρ d V ?")[$display(∫ ρ) d V ?$] (b) What is the dimension of #emph[dV]/#emph[dt]? (c) What is the dimension of #math.equation(block: false, alt: "ρ open parenthesis d V / d t close parenthesis ?")[$ρ ( d V "/" d t ) ?$] The arc length formula says the length #math.equation(block: false, alt: "s")[$s$] of arc subtended by angle #math.equation(block: false, alt: "Ɵ")[$Ɵ$] in a circle of radius #math.equation(block: false, alt: "r")[$r$] is given by the equation #math.equation(block: false, alt: "s equals r Ɵ .")[$s = r Ɵ .$] What are the dimensions of (a) #emph[s], (b) #emph[r], and (c) #math.equation(block: false, alt: "Ɵ?")[$"Ɵ?"$] #solutionbox[ a. L; b. L; c. L#super[0] = 1 (that is, it is dimensionless) ]