Derivatives, Limits, and Tangent Lines — Lecture Notes

Recap: Derivatives as Generalized Slopes

  • Limits are the foundation of calculus; derivatives generalize the slope of a straight line to arbitrary functions.
  • Secant line slope as an average rate of change: for a function f and two points, the slope is
    \text{AvgSlope} = \frac{f(b)-f(a)}{b-a}
    which gives an average rate of change between a and b. Example: for (f(x)=x^2) between x=1 and x=2,
    (f(2)=4, f(1)=1) → average rate of change = (\frac{4-1}{2-1}=3) units per unit.
  • Real-time (instantaneous) rate of change requires looking at a single point, not two.
  • The instantaneous rate of change at (a) is defined as the derivative:
    f'(a)=\lim_{x\to a}\frac{f(x)-f(a)}{x-a}.
  • This limit corresponds to the slope of the tangent line to the graph of (f) at (x=a).
  • Tangent line: the line that touches the graph at (x=a) exactly once; its slope is the derivative (f'(a)).
  • In many problems we work with the velocity interpretation: if (f) models distance, then (f'(a)) is the instantaneous velocity at time (a).
  • Velocity vs. speed:
    • Velocity carries direction; speed is the absolute value of velocity.
    • In problems, we often discuss velocity (signed rate) but may report speed when direction is not needed.

Key Forms of the Derivative

  • Primary difference quotient (two-point form):
    f'(a)=\lim_{x\to a}\frac{f(x)-f(a)}{x-a}.
  • Change of variable form (one-point, using (h) with (x=a+h)):
    f'(a)=\lim_{h\to 0}\frac{f(a+h)-f(a)}{h}.
  • Relationship between the two forms: they are equivalent representations of the same limit.

Worked Examples (Avg Rate of Change and Instantaneous Rate)

  • Example: (f(x)=x^2). Average rate of change between 1 and 2:
    • (f(2)=4, f(1)=1)
    • (\text{AvgSlope}=\frac{4-1}{2-1}=3).
  • Instantaneous rate of change at (x=1) using the first definition:
    • Compute (\frac{f(x)-f(1)}{x-1}=\frac{x^2-1}{x-1}=\frac{(x-1)(x+1)}{x-1}=x+1) (for (x\neq 1)).
    • Take the limit as (x\to 1): (f'(1)=2).
  • General linear function: (f(x)=5x+7).
    • The derivative should be the slope; compute via the derivative limit:
    • (f'(a)=\lim{x\to a}\frac{(5x+7)-(5a+7)}{x-a}=\lim{x\to a}\frac{5(x-a)}{x-a}=5).
    • This shows that the derivative of a linear function is its constant slope, for any (a).
  • Special case: derivative of a constant is zero: if (f(x)=c), then (f'(a)=0).

The h-Substitution: A Cleaner Difference Quotient

  • Choose (x=a+h). Then
    • Numerator: (f(a+h)-f(a)) (unchanged in form).
    • Denominator: (h) (since (x-a=(a+h)-a=h)).
  • The derivative becomes
    f'(a)=\lim_{h\to 0}\frac{f(a+h)-f(a)}{h}.
  • This form is advantageous because it simplifies many cancellations and is easier to manipulate for many functions.

Example: Derivative of (f(x)=x^2) via the (h)-form

  • Let (a=1). Then
    f'(1)=\lim{h\to 0}\frac{(1+h)^2-1}{h}=\lim{h\to 0}\frac{1+2h+h^2-1}{h}=\lim{h\to 0}\frac{2h+h^2}{h}=\lim{h\to 0}(2+h)=2.
  • This matches the previous result, illustrating consistency between the two forms.

Quick Check: Derivative of a General Linear Function with the Difference Quotient

  • For (f(x)=mx+b), compute using the limit:
    • (f'(a)=\lim{x\to a}\frac{(mx+b)-(ma+b)}{x-a}=\lim{x\to a}\frac{m(x-a)}{x-a}=m).
  • This confirms that the derivative of a line is its slope, and is independent of the point (a).
  • Special case: derivative of a constant (i.e., (m=0)) is zero, as expected.

Why Factorization and Higher Powers Become Hard

  • For higher powers or more complex expressions (e.g., (x^3-1)), the difference quotient can become unwieldy to simplify by factoring.
  • Factoring general polynomials like (x^3-1=(x-1)(x^2+x+1)) helps, but becomes tedious for larger powers.
  • The (h)-form often provides the more practical path to simplification and computation for many cases.

Derivative of a Root Function: The Square Root Example

  • Example: Find (f'(16)) for (f(x)=\sqrt{x}) using the (h)-form with a = 16:
    • (f'(16)=\lim_{h\to 0}\frac{\sqrt{16+h}-4}{h}).
    • Multiply numerator and denominator by the conjugate:
      \frac{\sqrt{16+h}-4}{h}\cdot \frac{\sqrt{16+h}+4}{\sqrt{16+h}+4}=\frac{(16+h)-16}{h(\sqrt{16+h}+4)}=\frac{h}{h(\sqrt{16+h}+4)}=\frac{1}{\sqrt{16+h}+4}.
    • As (h\to 0), this tends to (\frac{1}{4+4}=\frac{1}{8}).
  • Therefore, (f'(16)=\dfrac{1}{8}).

Tangent Line and Linear Approximation

  • Tangent line at (x=a) has slope (f'(a)) and passes through ((a,f(a))).
  • Point-slope form of the tangent line:
    y-f(a)=f'(a)igl(x-a\bigr).
  • Alternatively, slope-intercept form: if desired, convert to (y=mx+b) with (m=f'(a)) and (b=f(a)-a f'(a)).
  • Example: For (f(x)=\sqrt{x}) at (x=16):
    • (f(16)=4), (f'(16)=\dfrac{1}{8}).
    • Tangent line: y-4=\frac{1}{8}(x-16) or equivalently y=\frac{1}{8}x+2.
  • Application: Linear approximation. For (x) near 16, (\sqrt{x}) is well approximated by the tangent line:
    • (\sqrt{17}\approx \frac{1}{8}\cdot 17+2=4.125) while true value is (\sqrt{17}\approx 4.1231).
    • Accuracy improves as you stay closer to the point of tangency (here, 16).
  • Intuition: Zooming in on a curve makes it look like its tangent line; this justifies using the line for local approximations.

Practical Connections and Real-World Relevance

  • Instantaneous rate of change (derivative) is the core concept behind velocity in physics as well as rate-of-change in many other fields (economics, biology, engineering).
  • The derivative lets you relate small changes in input to changes in output, enabling linear approximations (first-order Taylor approximation) near a point.
  • Distinguishing speed vs. velocity is important in problems where direction matters (velocity) vs. magnitude only (speed).

Exam Orientation and Problem Types (What to Expect)

  • You may see problems that require using the limit definition of the derivative, possibly with non-polynomial functions (e.g., roots, higher powers, rational expressions).
  • Often, exams focus on one of three common challenging forms:
    • Square roots (use conjugates to simplify).
    • Higher powers (expand or use algebraic tricks).
    • Fractional expressions (simplify carefully or use the h-substitution).
  • There is typically at least one problem where you must identify the function and the point from a given limit expression (a multiple-choice derivative definition problem).

Quick Tangent-Line Problem (Practice for the Quiz)

  • Problem: Find the tangent line for (f(x)=3x^2) at (x=1).
    • Evaluate: (f(1)=3).
    • Derivative: (f'(x)=6x) so (f'(1)=6).
    • Tangent line in point-slope form:
      y-f(1)=f'(1)(x-1)\;\,\Rightarrow\ y-3=6(x-1).
    • Convert to slope-intercept form: (y=6x-3).
  • Quick review: At a point (a), the tangent line has slope (f'(a)) and passes through ((a,f(a))). The line equation is either
    y-f(a)=f'(a)(x-a) or, equivalently, (y= f'(a)x + [f(a)-a f'(a)].)

Final Tips for Mastery

  • Practice both forms of the derivative to become fluent: the two-point quotient and the h-substitution quotient.
  • When facing a square root or higher-power expression, try the conjugate or the h-substitution first to simplify the limit.
  • Always verify special cases: derivative of a constant is 0; derivative of a linear function is its slope.
  • Use tangent-line reasoning to motivate linear approximations and provide intuition for why derivatives are useful.
  • For quiz and exam problems, read limits carefully and identify whether you should factor, rationalize, or shift variables to an h-substitution for cancellation.