Foundations of Economics and Linear Functions - Study Notes

Foundations in Mathematics: Number Lines, Points, and Coordinates

  • Representations of a number on a number line:

    • Three representations: (i) as a number; (ii) as a point on the number line; (iii) as a coordinate/location on the line.

  • Basic components of a one-dimensional number line:

    • Zero (origin), one (a unit distance to the right), and the positive direction (to the right).

    • Any number can be located on the line by these three pieces of information.

  • Points on a line and coordinates:

    • A point on the line (denoted P) has a coordinate (label) and is located at a specific distance from the origin.

    • The distance from origin to P is measured in units; if the distance is one unit, the coordinate is 1; a diachronous labeling is possible (e.g., P, Q).

  • Two-dimensional coordinates:

    • A point on a plane is represented by a pair (x, y) obtained by the intersection of a vertical line (x = constant) and a horizontal line (y = constant).

    • The idea generalizes to three dimensions with three coordinates (x, y, z).

  • Three-number representation for space:

    • In three dimensions, a point requires three numbers: (x, y, z).

  • Implication for representing points:

    • To locate any point, you need a pair of coordinates in 2D, or three coordinates in 3D, derived from intersecting vertical and horizontal reference lines.

Slope, Rate of Change, and Lines

  • Two-point representation and the slope:

    • Given two points, the slope of the line through them is defined as

    • m=y<em>2y</em>1x<em>2x</em>1m = \frac{y<em>2 - y</em>1}{x<em>2 - x</em>1}

    • The numerator is the change in y (Δy\Delta y) and the denominator is the change in x (Δx\Delta x).

  • Delta notation:

    • Δx=x<em>2x</em>1,Δy=y<em>2y</em>1\Delta x = x<em>2 - x</em>1, \quad \Delta y = y<em>2 - y</em>1

    • The slope is the ratio of the changes: m=ΔyΔxm = \frac{\Delta y}{\Delta x}

  • Rise over run and the idea of rate of change:

    • Rise = change in y; Run = change in x; slope is a measure of how y changes as x changes.

    • The slope represents the rate of change: how much y changes per unit change in x.

  • Independence of point labeling:

    • If you switch which point you call (x<em>1,y</em>1)(x<em>1,y</em>1) and (x<em>2,y</em>2)(x<em>2,y</em>2), the slope remains the same (the calculation is invariant to labeling).

    • Algebraically, the expression is equivalent if you rewrite as (y<em>1y</em>2)/(x<em>1x</em>2)(y<em>1 - y</em>2)/(x<em>1 - x</em>2); simplifying shows the same result.

  • Constant slope and linearity:

    • For a straight line, the slope is constant regardless of which two points on the line you choose.

    • This constancy is what makes linear functions predictable and is the foundation for later calculus of rate-of-change concepts.

  • Real-world interpretation of rate of change:

    • Example: pricing and cost. If a computer costs 500500, the total cost for n computers is

    • Cost(n)=500n\text{Cost}(n) = 500 n

    • For n=10n = 10, Cost(10)=500×10=5000\text{Cost}(10) = 500 \times 10 = 5000

  • Velocity as rate of change:

    • If you drive at a constant 7070 miles per hour, the distance after t hours is

    • d=vt=70td = v t = 70 t

    • After 22 hours, the distance is d=70×2=140d = 70 \times 2 = 140 miles.

  • Non-constant rates and calculus:

    • In many real-world scenarios, rates of change are not constant; calculus studies changing rates over time.

    • Stock prices, for example, can rise and fall unpredictably, making future prediction more complex.

  • What the slope tells you:

    • The slope is a measure of change per unit of x; in a function, it captures the rate at which y responds to changes in x.

  • Important takeaway about linear functions:

    • For a linear function, knowing two points is enough to determine the full line, because the slope is constant.

Equations of Lines: Forms and Interrelationships

  • Slope-intercept form:

    • The equation of a line with slope m and y-intercept b is

    • y=mx+by = m x + b

    • The y-intercept b is the value of y when x=0x = 0, i.e., the point where the line crosses the y-axis.

  • Intercept concept:

    • The x-intercept is the point where the line crosses the x-axis (y=0y = 0).

  • Point-slope form:

    • If you know a slope m and a single point (x<em>1,y</em>1)(x<em>1, y</em>1) on the line, you can write the line as

    • yy<em>1=m(xx</em>1)y - y<em>1 = m (x - x</em>1)

  • Deriving the slope from point coordinates (slope from two points):

    • Given two points on a line, the slope is

    • m=yy<em>1xx</em>1m = \frac{y - y<em>1}{x - x</em>1} or equivalently using (x<em>2,y</em>2)(x<em>2, y</em>2) and (x<em>1,y</em>1)(x<em>1, y</em>1):

    • m=y<em>2y</em>1x<em>2x</em>1m = \frac{y<em>2 - y</em>1}{x<em>2 - x</em>1}

  • Conceptual note: two-point form and slope-intercept form are equivalent ways to describe the same line; choosing between them depends on available information.

  • Special cases:

    • Vertical line: Δx=0m is undefined\Delta x = 0 \Rightarrow m \text{ is undefined}

    • Horizontal line: m=0m = 0, y is constant along the line.

  • Practical use: to sketch or analyze a line you can:

    • pick two points on the line and connect them, or

    • use the slope with a known point, or

    • use the slope-intercept form if you know m and b, or

    • use the point-slope form if you know m and a single point.

  • Parallelism and slope equivalence:

    • Lines with the same slope are parallel (and do not intersect unless they are the same line, i.e., have the same intercept).

  • Practical memorization and understanding:

    • A key takeaway is that many problems reduce to identifying the slope (rate of change) and a point or intercept to determine the line.

Special Case: Putting It All Together

  • Two points determine a line with a constant slope; different pairs of points on the same line give the same slope.

  • The two most commonly used forms for a line are:

    • Slope-intercept: y=mx+by = m x + b

    • Point-slope: yy<em>1=m(xx</em>1)y - y<em>1 = m (x - x</em>1)

  • When given a slope and a single point, you can construct the full equation of the line (even if that point is not on the y-axis).

  • When given two points, you can compute the slope with

    • m=y<em>2y</em>1x<em>2x</em>1m = \frac{y<em>2 - y</em>1}{x<em>2 - x</em>1}

  • Then either plug into slope-intercept form or use point-slope form to obtain the equation.

Recap: Rate of Change and the Path to Calculus

  • The central concept is rate of change: how quickly one quantity changes with respect to another.

  • For a straight line, the rate of change is constant; for nonlinear relationships, the rate of change can vary, which motivates calculus.

  • The connection to real life:

    • In finance (price, cost) and physics (velocity), rate of change is central to modeling and predictions.

  • The course emphasizes the algebraic tools (slope, line equations) as building blocks for calculus, where rates of change become functions that can vary over domains.

Quick Memoranda and Key Takeaways

  • Always remember the core slope formula:

    • m=y<em>2y</em>1x<em>2x</em>1m = \frac{y<em>2 - y</em>1}{x<em>2 - x</em>1}

  • For a line, you can describe it by either:

    • Slope-intercept form: y=mx+by = m x + b, with b=yx=0b = y|_{x=0}

    • Point-slope form: yy<em>1=m(xx</em>1)y - y<em>1 = m (x - x</em>1)

  • Special slopes:

    • Horizontal lines: slope = 00

    • Vertical lines: slope undefined (since Δx=0\Delta x = 0)

  • The slope is a visual and numerical measure of the rate of change; it remains constant along a straight line.

  • Real-world analogy examples help intuition:

    • Cost grows linearly with quantity: Cost(n)=500n\text{Cost}(n) = 500n

    • Distance grows linearly with time at constant velocity: d=vtd = v t

  • Understanding two points is enough to define a line; the line’s equation uniquely captures the relationship between x and y on that line.

  • The educational aim: Mastery of these linear concepts lays groundwork for studying non-linear relationships and the calculus of rates of change.