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Slope

From Wikipedia, the free encyclopedia
Mathematical term
This article is about the mathematical term. For slope of a physical feature, seeGrade (slope). For other uses, seeSlope (disambiguation).
Slope:m=ΔyΔx=tan(θ){\displaystyle m={\frac {\Delta y}{\Delta x}}=\tan(\theta )}

Inmathematics, theslope orgradient of aline is a number that describes thedirection of the line on aplane.[1] Often denoted by the letterm, slope is calculated as theratio of the vertical change to the horizontal change ("rise over run") between two distinct points on the line, giving the same A slope is the ratio of the vertical distance (rise) to the horizontal distance (run) between two points, not a direct distance or a direct angle for any choice of points. To explain, a slope is theratio of the vertical distance (rise) to thehorizontal distance (run) between two points, not a directdistance or a directangle. The line may be physical – as set by aroad surveyor, pictorial as in adiagram of a road or roof, orabstract.An application of the mathematical concept is found in thegrade orgradient ingeography andcivil engineering.

Thesteepness, incline, or grade of a line is theabsolute value of its slope: greater absolute value indicates a steeper line. The line trend is defined as follows:

  • An "increasing" or "ascending" line goesup from left to right and has positive slope:m>0{\displaystyle m>0}.
  • A "decreasing" or "descending" line goesdown from left to right and has negative slope:m<0{\displaystyle m<0}.

Special directions are:

If two points of a road have altitudesy1 andy2, the rise is the difference (y2y1) = Δy. Neglecting theEarth's curvature, if the two points have horizontal distancex1 andx2 from a fixed point, the run is (x2x1) = Δx. The slope between the two points is thedifference ratio:

m=ΔyΔx=y2y1x2x1.{\displaystyle m={\frac {\Delta y}{\Delta x}}={\frac {y_{2}-y_{1}}{x_{2}-x_{1}}}.}

Throughtrigonometry, the slopem of a line is related to itsangle of inclinationθ by thetangent function

m=tan(θ).{\displaystyle m=\tan(\theta ).}

Thus, a 45° rising line has slopem = +1, and a 45° falling line has slopem = −1.

Generalizing this,differential calculus defines the slope of aplane curve at a point as the slope of itstangent line at that point. When the curve is approximated by a series of points, the slope of the curve may be approximated by the slope of thesecant line between two nearby points. When the curve is given as the graph of analgebraic expression, calculus givesformulas for the slope at each point. Slope is thus one of the central ideas of calculus and its applications to design.

Notation

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There seems to be no clear answer as to why the letterm is used for slope, but it first appears in English inO'Brien (1844)[2] who introduced the equation of a line as"y =mx +b", and it can also be found inTodhunter (1888)[3] who wrote "y =mx +c".[4]

Definition

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Slope illustrated fory = (3/2)x − 1. Click on to enlarge
Slope of a line in coordinates system, fromf(x) = −12x + 2 tof(x) = 12x + 2

The slope of a line in the plane containing thex andy axes is generally represented by the letterm,[5] and is defined as the change in they coordinate divided by the corresponding change in thex coordinate, between two distinct points on the line. This is described by the following equation:

m=ΔyΔx=verticalchangehorizontalchange=riserun.{\displaystyle m={\frac {\Delta y}{\Delta x}}={\frac {{\text{vertical}}\,{\text{change}}}{{\text{horizontal}}\,{\text{change}}}}={\frac {\text{rise}}{\text{run}}}.}

(The Greek letterdelta, Δ, is commonly used in mathematics to mean "difference" or "change".)

Given two points(x1,y1){\displaystyle (x_{1},y_{1})} and(x2,y2){\displaystyle (x_{2},y_{2})}, the change inx{\displaystyle x} from one to the other isx2x1{\displaystyle x_{2}-x_{1}} (run), while the change iny{\displaystyle y} isy2y1{\displaystyle y_{2}-y_{1}} (rise). Substituting both quantities into the above equation generates the formula:

m=y2y1x2x1.{\displaystyle m={\frac {y_{2}-y_{1}}{x_{2}-x_{1}}}.}

The formula fails for a vertical line, parallel to they{\displaystyle y} axis (seeDivision by zero), where the slope can be taken asinfinite, so the slope of a vertical line is considered undefined.

Examples

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Suppose a line runs through two points:P = (1, 2) andQ = (13, 8). By dividing the difference iny{\displaystyle y}-coordinates by the difference inx{\displaystyle x}-coordinates, one can obtain the slope of the line:

m=ΔyΔx=y2y1x2x1=(82)(131)=612=12.{\displaystyle m={\frac {\Delta y}{\Delta x}}={\frac {y_{2}-y_{1}}{x_{2}-x_{1}}}={\frac {(8-2)}{(13-1)}}={\frac {6}{12}}={\frac {1}{2}}.}
Since the slope is positive, the direction of the line is increasing. Since |m| < 1, the incline is not very steep (incline < 45°).

As another example, consider a line which runs through the points (4, 15) and (3, 21). Then, the slope of the line is

m=211534=61=6.{\displaystyle m={\frac {21-15}{3-4}}={\frac {6}{-1}}=-6.}
Since the slope is negative, the direction of the line is decreasing. Since |m| > 1, this decline is fairly steep (decline > 45°).

Algebra and geometry

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Slopes of parallel and perpendicular lines

Examples

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For example, consider a line running through points (2,8) and (3,20). This line has a slope,m, of

(208)(32)=12.{\displaystyle {\frac {(20-8)}{(3-2)}}=12.}

One can then write the line's equation, in point-slope form:

y8=12(x2)=12x24.{\displaystyle y-8=12(x-2)=12x-24.}

or:

y=12x16.{\displaystyle y=12x-16.}

The angle θ between −90° and 90° that this line makes with thex-axis is

θ=arctan(12)85.2.{\displaystyle \theta =\arctan(12)\approx 85.2^{\circ }.}

Consider the two lines:y = −3x + 1 andy = −3x − 2. Both lines have slopem = −3. They are not the same line. So they are parallel lines.

Consider the two linesy = −3x + 1 andy =x/3 − 2. The slope of the first line ism1 = −3. The slope of the second line ism2 =1/3. The product of these two slopes is −1. So these two lines are perpendicular.

Statistics

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Instatistics, the gradient of theleast-squares regressionbest-fitting line for a givensample of data may be written as:

m=rsysx{\displaystyle m={\frac {rs_{y}}{s_{x}}}},

This quantitym is called as theregression slope for the liney=mx+c{\displaystyle y=mx+c}. The quantityr{\displaystyle r} isPearson's correlation coefficient,sy{\displaystyle s_{y}} is thestandard deviation of the y-values andsx{\displaystyle s_{x}} is thestandard deviation of the x-values. This may also be written as a ratio ofcovariances:[6]

m=cov(Y,X)cov(X,X){\displaystyle m={\frac {\operatorname {cov} (Y,X)}{\operatorname {cov} (X,X)}}}

Calculus

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At each point, thederivative is the slope of aline that istangent to thecurve at that point. Note: the derivative at point A ispositive where green and dash–dot,negative where red and dashed, andzero where black and solid.

The concept of a slope is central todifferential calculus. For non-linear functions, the rate of change varies along the curve. Thederivative of the function at a point is the slope of the linetangent to the curve at the point and is thus equal to the rate of change of the function at that point.

If we let Δx and Δy be the distances (along thex andy axes, respectively) between two points on a curve, then the slope given by the above definition,

m=ΔyΔx{\displaystyle m={\frac {\Delta y}{\Delta x}}},

is the slope of asecant line to the curve. For a line, the secant between any two points is the line itself, but this is not the case for any other type of curve.

For example, the slope of the secant intersectingy =x2 at (0,0) and (3,9) is 3. (The slope of the tangent atx =32 is also 3 − a consequence of themean value theorem.)

By moving the two points closer together so that Δy and Δx decrease, the secant line more closely approximates a tangent line to the curve, and as such the slope of the secant approaches that of the tangent. Usingdifferential calculus, we can determine thelimit, or the value that Δyx approaches as Δy and Δx get closer tozero; it follows that this limit is the exact slope of the tangent. Ify is dependent onx, then it is sufficient to take the limit where only Δx approaches zero. Therefore, the slope of the tangent is the limit of Δyx as Δx approaches zero, or dy/dx. We call this limit thederivative.

dydx=limΔx0ΔyΔx{\displaystyle {\frac {\mathrm {d} y}{\mathrm {d} x}}=\lim _{\Delta x\to 0}{\frac {\Delta y}{\Delta x}}}

The value of the derivative at a specific point on the function provides us with the slope of the tangent at that precise location. For example, lety =x2. A point on this function is (−2,4). The derivative of this function isdydx = 2x. So the slope of the line tangent toy at (−2,4) is2 ⋅ (−2) = −4. The equation of this tangent line is:y − 4 = (−4)(x − (−2)) ory = −4x − 4.

Difference of slopes

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The illusion of a paradox of area is dispelled by comparing slopes where blue and red triangles meet.

An extension of the idea of angle follows from the difference of slopes. Consider theshear mapping

(u,v)=(x,y)(1v01).{\displaystyle (u,v)=(x,y){\begin{pmatrix}1&v\\0&1\end{pmatrix}}.}

Then(1,0){\displaystyle (1,0)} is mapped to(1,v){\displaystyle (1,v)}. The slope of(1,0){\displaystyle (1,0)} is zero and the slope of(1,v){\displaystyle (1,v)} isv{\displaystyle v}. The shear mapping added a slope ofv{\displaystyle v}. For two points on{(1,y):yR}{\displaystyle \{(1,y):y\in \mathbb {R} \}} with slopesm{\displaystyle m} andn{\displaystyle n}, the image

(1,y)(1v01)=(1,y+v){\displaystyle (1,y){\begin{pmatrix}1&v\\0&1\end{pmatrix}}=(1,y+v)}

has slope increased byv{\displaystyle v}, but the differencenm{\displaystyle n-m} of slopes is the same before and after the shear. This invariance of slope differences makes slope an angularinvariant measure, on a par with circular angle (invariant under rotation) and hyperbolic angle, with invariance group ofsqueeze mappings.[7][8]

Slope (pitch) of a roof

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Main article:Roof pitch

The slope of a roof, traditionally and commonly called theroof pitch, in carpentry and architecture in the US is commonly described in terms of integer fractions of one foot (geometric tangent, rise over run), a legacy of British imperial measure. Other units are in use in other locales, with similar conventions. For details, seeroof pitch.

Slope of a road or railway

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Main articles:Grade (slope) andGrade separation

There are two common ways to describe the steepness of aroad orrailroad. One is by the angle between 0° and 90° (in degrees), and the other is by the slope in a percentage. See alsosteep grade railway andrack railway.

The formulae for converting a slope given as a percentage into an angle in degrees and vice versa are:

angle=arctan(slope100%){\displaystyle {\text{angle}}=\arctan \left({\frac {\text{slope}}{100\%}}\right)} (this is the inverse function of tangent; seetrigonometry)

and

slope=100%×tan(angle),{\displaystyle {\mbox{slope}}=100\%\times \tan({\mbox{angle}}),}

whereangle is in degrees and the trigonometric functions operate in degrees. For example, a slope of 100% or 1000 is an angle of 45°.

A third way is to give one unit of rise in say 10, 20, 50 or 100 horizontal units, e.g. 1:10. 1:20, 1:50 or 1:100 (or "1in 10", "1in 20", etc.) 1:10 is steeper than 1:20. For example, steepness of 20% means 1:5 or an incline with angle 11.3°.

Roads and railways have both longitudinal slopes and cross slopes.

Other uses

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The concept of a slope or gradient is also used as a basis for developing other applications in mathematics:

  • Gradient descent, a first-order iterative optimization algorithm for finding the minimum of a function
  • Gradient theorem, theorem that a line integral through a gradient field can be evaluated by evaluating the original scalar field at the endpoints of the curve
  • Gradient method, an algorithm to solve problems with search directions defined by the gradient of the function at the current point
  • Conjugate gradient method, an algorithm for the numerical solution of particular systems of linear equations
  • Nonlinear conjugate gradient method, generalizes the conjugate gradient method to nonlinear optimization
  • Stochastic gradient descent, iterative method for optimizing a differentiable objective function

See also

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References

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  1. ^Clapham, C.; Nicholson, J. (2009)."Oxford Concise Dictionary of Mathematics, Gradient"(PDF). Addison-Wesley. p. 348. Archived fromthe original(PDF) on 29 October 2013. Retrieved1 September 2013.
  2. ^O'Brien, M. (1844),A Treatise on Plane Co-Ordinate Geometry or the Application of the Method of Co-Ordinates in the Solution of Problems in Plane Geometry, Cambridge, England: Deightons
  3. ^Todhunter, I. (1888),Treatise on Plane Co-Ordinate Geometry as Applied to the Straight Line and Conic Sections, London: Macmillan
  4. ^Weisstein, Eric W."Slope". MathWorld--A Wolfram Web Resource.Archived from the original on 6 December 2016. Retrieved30 October 2016.
  5. ^An early example of this convention can be found inSalmon, George (1850).A Treatise on Conic Sections (2nd ed.). Dublin: Hodges and Smith. pp. 14–15.
  6. ^Further Mathematics Units 3&4 VCE (Revised). Cambridge Senior Mathematics. 2016.ISBN 9781316616222 – via Physical Copy.
  7. ^Bolt, Michael; Ferdinands, Timothy; Kavlie, Landon (2009)."The most general planar transformations that map parabolas into parabolas".Involve: A Journal of Mathematics.2 (1):79–88.doi:10.2140/involve.2009.2.79.ISSN 1944-4176.Archived from the original on 2020-06-12. Retrieved2021-05-22.
  8. ^Abstract Algebra/Shear and Slope at Wikibooks

External links

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Look upslope in Wiktionary, the free dictionary.
Precalculus
Limits
Differential calculus
Integral calculus
Vector calculus
Multivariable calculus
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History of calculus
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