1.3 1.4 2.1 Comprehensive Study Notes: Linear Functions, Depreciation, Costs/Revenue/Profit, Demand & Supply, and Systems of Equations (Transcript-Based)

Functions: Definition and Notation

  • A function f is a rule that assigns to each input value x exactly one output value y. Notation: f(x)=y.f(x)=y.
  • Domain: the set of all possible input x-values.
  • Range: the set of all possible output y-values.
  • Independent variable: x (the input).
  • Dependent variable: y (the output).
  • Example: For the linear function y=5x+7y=5x+7, the slope is the rate of change (m=5) and the y-intercept is the value when x=0 (b=7).
  • In the form y=f(x)y=f(x), f is the rule; x is the input, y is the output.

Linear Functions and Graphs

  • A linear function has the form y=mx+by=mx+b where m is the slope and b is the y-intercept.
  • Example: y=3x+5y=3x+5.
    • Value at x=0: f(0)=5f(0)=5 → point (0,5).
    • Value at x=1: f(1)=8f(1)=8 → point (1,8).
    • Value at x=10: f(10)=35f(10)=35 → point (10,35).
  • If data points lie along a straight line, they can be modeled with a linear model.

Linear Depreciation (Example)

  • Scenario: A machine costs C0=$40,000C_0=\$40{,}000 and is depreciated linearly over 5 years by $5,000\$5{,}000 per year.
  • Depreciation model (book value) as a function of year x: B(x)=5000x+40000.B(x)=-5000\,x+40000.
  • After 3 years: B(3)=50003+40000=25000.B(3)=-5000\cdot 3 + 40000 = 25000.
  • After 5 years (scrap value): B(5)=50005+40000=15000.B(5)=-5000\cdot 5 + 40000 = 15000.
  • Slope = -5000, intercept = 40000.

Cost, Revenue, and Profit Functions

  • Fixed cost b: a constant cost incurred regardless of production level.
  • Variable cost per unit m: the cost that scales with production x.
  • Total cost: C(x)=mx+b.C(x)=m\,x+b.
  • Revenue: if selling price per unit is s, then R(x)=sx.R(x)=s\,x. (Note: s is the price per unit.)
  • Profit: Π(x)=R(x)C(x)=(sm)xb.\Pi(x)=R(x)-C(x) = (s-m)x - b. If this is zero, you’re at break-even; if positive, profit; if negative, loss.
  • Note: In production decisions, x is the quantity produced/sold, and the real-world interpretation depends on the units used for x and the scale of costs/revenue.

Break-even Analysis (General)

  • Break-even point occurs when profit is zero: Π(x)=0(sm)x=b.\Pi(x)=0\Rightarrow (s-m)x=b\,.
  • If s>m, break-even quantity is xb=bsm.x_b=\dfrac{b}{s-m}.
  • If sms\le m, there is no finite break-even point (either never profitable or always loss-making for positive x).
  • At break-even, revenue equals cost: R(x<em>b)=C(x</em>b).R(x<em>b)=C(x</em>b).

Unit Cost and Fixed Cost – Worked Example

  • Given: cost function C(x)=50x+6000C(x)=50x+6000 and revenue function R(x)=70x.R(x)=70x.
    • Unit cost (variable cost per unit): m=50.m=50.
    • Fixed cost: b=6000.b=6000.
    • Selling price per unit: s=70.s=70.
  • Profit function: P(x)=R(x)C(x)=70x(50x+6000)=20x6000.P(x)=R(x)-C(x)=70x-(50x+6000)=20x-6000.
  • Break-even: solve 70x=50x+600020x=6000x=300.70x=50x+6000\Rightarrow 20x=6000\Rightarrow x=300.
  • At break-even, P(300)=0.P(300)=0.

Break-even Calculation (Alternative Form)

  • With break-even in the same setup, you can also compute using the profit form:
    P(x)=(sm)xb.P(x)=(s-m)x-b.
  • Set to zero: (sm)x=bx=bsm.(s-m)x=b \Rightarrow x=\dfrac{b}{s-m}.

Demand, Supply, and Equilibrium in Markets

  • Demand function describes how quantity demanded responds to price; typically downward-sloping.
  • Supply function describes how quantity supplied responds to price; typically upward-sloping.
  • Equilibrium occurs where demand equals supply: D(x)=S(x)D(x)=S(x) at a common price p* and quantity x*.
  • In graphs, the equilibrium is the intersection of the demand and supply curves.
  • Note: In some worked examples, x is measured in thousands and p is in dollars.

Example: Solving a Demand–Supply System (2x2)

  • Given a demand relation: 2x+7p=56,2x+7p=56, and a supply relation: 3x11p=45.3x-11p=-45.
  • Solve the system for the equilibrium quantity x and price p.
  • Method (elimination):
    • Multiply first equation by 3: 6x+21p=168.6x+21p=168.
    • Multiply second equation by 2: 6x22p=90.6x-22p=-90.
    • Subtract to eliminate x: 43p=258p=25843=6.43p=258\Rightarrow p=\frac{258}{43}=6.
    • Back-substitute into 2x+7p=56: 2x+76=562x+42=56x=7.2x+7\cdot 6=56\Rightarrow 2x+42=56\Rightarrow x=7.
  • Result: Equilibrium quantity x<em>=7x^<em>=7 (units in thousands), equilibrium price p</em>=$6.p^</em>=\$6.
  • Note: The transcript shows p=16 due to a misprint; the correct arithmetic with the given system yields p=6.

Homework-Style Problem (Demand/Supply with 2 Linear Functions)

  • Given: Demand function equation 4x+3p=594x+3p=59 and Supply function equation 5x6p=14.5x-6p=-14.
  • Find equilibrium price p* and quantity x*.
  • Solve by equating expressions for x or by solving the system:
    • From demand: 4x=593px=593p4.4x=59-3p\Rightarrow x=\dfrac{59-3p}{4}.
    • From supply: 5x6p=14x=6p145.5x-6p=-14\Rightarrow x=\dfrac{6p-14}{5}.
    • Equate: 593p4=6p1455(593p)=4(6p14)29515p=24p56.\dfrac{59-3p}{4}=\dfrac{6p-14}{5} \Rightarrow 5(59-3p)=4(6p-14)\Rightarrow 295-15p=24p-56.
    • Solve: 351=39pp=9.351=39p\Rightarrow p^*=9.
    • Then x* from either equation: x=593(9)4=324=8.x^*=\dfrac{59-3(9)}{4}=\dfrac{32}{4}=8.
  • Result: Equilibrium price p<em>=$9,p^<em>=\$9, equilibrium quantity x</em>=8x^</em>=8 (units as given by the problem, typically thousands).

Intersection of Lines (Two-Variable Case)

  • For lines y = m1 x + b1 and y = m2 x + b2:
    • If m1 ≠ m2, intersection point is at x<em>0=b</em>2b<em>1m</em>1m<em>2,y</em>0=m<em>1x</em>0+b1.x<em>0=\dfrac{b</em>2-b<em>1}{m</em>1-m<em>2},\quad y</em>0=m<em>1 x</em>0+b_1.
  • If m1 = m2 and b1 ≠ b2, the lines are parallel (no solution).
  • If m1 = m2 and b1 = b2, the lines coincide (infinitely many solutions).
  • Example: Intersect y = x + 2 and y = -x + 7:
    • Solve x+2 = -x+7 ⇒ 2x = 5 ⇒ x0 = 2.5, and y0 = 2.5+2 = 4.5.
    • Intersection point: (2.5, 4.5).

Profit, Break-even, and Real-World With John’s Example

  • Scenario: A product costs C(x)=5x+12000C(x)=5x+12000 and sells for R(x)=11x.R(x)=11x.
  • Profit: P(x)=R(x)C(x)=11x(5x+12000)=6x12000.P(x)=R(x)-C(x)=11x-(5x+12000)=6x-12000.
  • Break-even: 6x12000=0x=2000.6x-12000=0\Rightarrow x=2000.
  • Interpretation:
    • If production/sales x is 2000 units, profit is zero.
    • If x>2000, profit; if x<2000, loss.
  • Example values from transcript (note: numbers may reflect unit scaling and should be checked in context):
    • C(100) = 5(100) + 12000 = 12500.
    • C(200) = 5(200) + 12000 = 13000.
    • R(200) = 11(200) = 2200.
    • R(500) = 11(500) = 5500.
  • Key takeaway: The break-even quantity depends on fixed cost and the difference between selling price and variable cost.

Equilibrium Analysis in Markets (Summary)

  • Equilibrium price and quantity occur where demand equals supply.
  • If you write demand and supply as equations in p and x, solve the system to get (x, p).
  • Interpretation of units matters: some examples use x in thousands and p in dollars; others use x in units.

3x3 Linear Systems and Planes (Geometric View)

  • A 3×3 linear system Ax = b can be interpreted as the intersection of three planes in 3D space.
  • A unique solution exists if det(A) ≠ 0 (the three planes intersect at a single point).
  • No solution occurs when the planes do not intersect at a common point (inconsistent system).
  • Infinitely many solutions occur when the planes coincide along a line or when the system is dependent.
  • Example: Planes defined by three non-collinear points determine a unique plane. One example:
    • Through points (0,0,10), (0,5,0), and (10,0,0) the plane is x+2y+z=10.x+2y+z=10.
  • Gaussian elimination or matrix methods are standard tools to solve 3×3 systems.

3×3 Production Problem (Souvenirs A, B, C)

  • Typical setup: three products A, B, C with time constraints on multiple machines (e.g., Machine I, Machine II, Machine III).
  • Let x, y, z denote quantities of A, B, C produced.
  • Constraints are linear (minutes per unit on each machine) with total available machine time.
  • A worked example (illustrative):
    • 2x + 1y + 2z = 180 (Machine I capacity)
    • x + 3y + 2z = 300 (Machine II capacity)
    • 2x + 1y + 4z = 240 (Machine III capacity)
  • Solving (Gaussian elimination) yields a specific production plan, e.g., (x, y, z) = (24, 72, 30).
  • The general approach: set up Ax = b with A containing per-unit times, x the quantities, b the total times; solve for x.

Planes in 3D and Intersections (Extended View)

  • A plane in 3D has equation ax + by + cz = d.
  • Three non-collinear points determine a unique plane.
  • A system of three planes (P1, P2, P3) can intersect at a single point (unique solution), along a line (infinitely many solutions), or be parallel/inconsistent (no solution).
  • In matrix form, P1, P2, P3 can be represented by three equations, and their intersection is the solution to the corresponding 3×3 system, if it exists.

Final Problem: Two Linear Functions—Demand and Supply (Solving for Equilibrium)

  • Given the two equations:
    • Demand: 4x+3p=594x+3p=59
    • Supply: 5x6p=145x-6p=-14
  • Solve for equilibrium price p* and quantity x*.
  • Solve by equating expressions or by substitution:
    • From demand: x=593p4x=\dfrac{59-3p}{4}
    • From supply: x=6p145x=\dfrac{6p-14}{5}
    • Equate: 593p4=6p145\dfrac{59-3p}{4}=\dfrac{6p-14}{5}
    • Cross-multiply: 5(593p)=4(6p14)5(59-3p)=4(6p-14)
    • Compute: 29515p=24p56351=39pp=9.295-15p=24p-56\Rightarrow 351=39p\Rightarrow p^*=9.
    • Solve for x: x</em>=593(9)4=324=8.x^</em>=\dfrac{59-3(9)}{4}=\dfrac{32}{4}=8.
  • Result: Equilibrium price p<em>=$9p^<em>=\$9 and equilibrium quantity x</em>=8x^</em>=8 (units as specified; often x is in thousands).
  • Interpretation: The demand function corresponds to p = (59-4x)/3 (as a function of x), which is downward-sloping in x; the supply function corresponds to p = (5x+14)/6, which is upward-sloping in x; their intersection gives the market equilibrium.