Chain Rule & Generalized Power Rule — Comprehensive Lecture Notes

Revisiting Derivative Rules & Their Limitations

  • Opening remark: previously-covered rules (sum, product, quotient, basic power) all fail when the expression looks like “a function inside a function raised to a power.”
  • The new scenario: expressions such as (3x+1)0.1(3x+1)^{0.1} cannot be tackled by naïve application of earlier rules.
  • Motivation: need a systematic way to differentiate composite functions (i.e.
    one function plugged into another).

Composite‐Function Language

  • Let u(x)=3x+1u(x)=3x+1 (the “inside” or inner function).
  • Let h(x)=x0.1h(x)=x^{0.1} (the “outside” or outer power function).
  • Then f(x)=h(u(x))=(3x+1)0.1.f(x)=h\big(u(x)\big)=(3x+1)^{0.1}.
    • Terminology: “ff is the composite of hh and uu.”
  • Key insight: Differentiating ff requires accounting for both layers of variation—how hh changes and how uu changes.

Chain Rule (Formal Statement)

  • For any composition f(x)=h(u(x))f(x)=h\big(u(x)\big):
    f(x)=h(u(x))u(x).\displaystyle f'(x)=h'\big(u(x)\big)\,u'(x).
  • Words: “Differentiate the outside, keep the inside unchanged, then multiply by the derivative of the inside.”
  • Significance: Unifies the treatment of all nested expressions, is the backbone for more sophisticated techniques (implicit, inverse, substitutions in integration, etc.).

Example 1 — f(x)=(3x+1)0.1f(x)=(3x+1)^{0.1}

  • Identify components:
    • u(x)=3x+1    u(x)=3u(x)=3x+1\;\Rightarrow\;u'(x)=3
    • h(x)=x0.1    h(x)=0.1x0.9h(x)=x^{0.1}\;\Rightarrow\;h'(x)=0.1x^{-0.9} (power rule)
  • Apply chain rule:
    f(x)=h(u(x))u(x)=0.1(3x+1)0.93=0.3(3x+1)0.9.\displaystyle f'(x)=h'\big(u(x)\big)\,u'(x)=0.1(3x+1)^{-0.9}\,\cdot 3=0.3\,(3x+1)^{-0.9}.
  • Interpretation: outer power term produces the fractional exponent and negative power; inner linear term supplies the factor 33.

Generalized Power Rule (Quick-Use Version)

  • Derived directly from chain rule.
  • For any differentiable u(x)u(x) and real nn:
    ddx[u(x)n]=nu(x)n1u(x).\displaystyle \frac{d}{dx}\Big[u(x)^n\Big]=n\,u(x)^{n-1}\,u'(x).
  • Memorization recommended; drastically reduces algebraic overhead.

Example 2 — y=(x3+x)100y=(x^3+x)^{100}

  • Using generalized power rule:
    • u(x)=x3+x,  u(x)=3x2+1,  n=100.u(x)=x^3+x,\;u'(x)=3x^2+1,\;n=100.
    • y=100(x3+x)99(3x2+1).\displaystyle y'=100\,(x^3+x)^{99}\,(3x^2+1).
  • Emphasized caution: order matters (outer power, inner base). Interchanging would misidentify u,hu,h and yield wrong derivative.

Example 3 — Square-Root Form: f(x)=3x+1f(x)=\sqrt{3x+1}

  • Rewrite as (3x+1)1/2(3x+1)^{1/2} so n=1/2,  u(x)=3x+1,  u(x)=3.n=1/2,\;u(x)=3x+1,\;u'(x)=3.
  • Derivative:
    f(x)=12(3x+1)1/23=32(3x+1)1/2.\displaystyle f'(x)=\tfrac12\,(3x+1)^{-1/2}\,\cdot3=\tfrac32\,(3x+1)^{-1/2}.

Example 4 — Nested Sum & Negative Power: g(x)=[(x+1)2.5+3x]3g(x)=\Big[(x+1)^{-2.5}+3x\Big]^{-3}

  1. Outer structure: n=3,  u(x)=(x+1)2.5+3x.n=-3,\;u(x)=(x+1)^{-2.5}+3x.
  2. Outer derivative via generalized power rule: 3u(x)4u(x).-3\,u(x)^{-4}\,u'(x).
  3. Compute u(x):u'(x):
    • Two-term sum ⇒ use sum rule.
    • First term: inner v(x)=x+1,  v(x)=1,  m=2.52.5(x+1)3.5.v(x)=x+1,\;v'(x)=1,\;m=-2.5\Rightarrow -2.5\,(x+1)^{-3.5}.
    • Second term derivative is 3.3.
    • Thus u(x)=2.5(x+1)3.5+3.u'(x)=-2.5\,(x+1)^{-3.5}+3.
  4. Assemble final answer:
    g(x)=3[(x+1)2.5+3x]4[2.5(x+1)3.5+3].\displaystyle g'(x)=-3\Big[(x+1)^{-2.5}+3x\Big]^{-4}\Big[-2.5\,(x+1)^{-3.5}+3\Big].
  • Highlight: multi-layer compositions may involve repeated chain-rule invocations inside sums/products.

Business Application — Marginal Product (Profit vs. Workers)

  • Profit function (consultant): P(q)=4000q0.46q20.00001q3.P(q)=4000q-0.46q^2-0.00001q^3. (Coefficients combined in lecture to 40000.92q0.00003q24000-0.92q-0.00003q^2 when differentiated.)
  • Output–labor link: q(n)=100n.q(n)=100n. (Each worker produces $100$ lasers.)
  • Goal: dPdn\frac{dP}{dn} — “marginal product” of an additional worker.
  • Chain-rule setup: dPdn=dPdqdqdn=P(q)q(n).\displaystyle \frac{dP}{dn}=\frac{dP}{dq}\cdot\frac{dq}{dn}=P'(q)\,q'(n).
    1. P(q)=40000.92q0.00003q2.P'(q)=4000-0.92q-0.00003q^2.
    2. q(n)=100.q'(n)=100.
  • Substitute q=100nq=100n afterward to express in labor units:
    dPdn=100(40000.92100n0.000031002n2).\displaystyle \frac{dP}{dn}=100\big(4000-0.92\cdot100n-0.00003\cdot100^2n^2\big).
  • Interpretation: predicts incremental profit for each additional assembly-line worker; vital for hiring decisions and cost-benefit analysis.

Related-Rates Example — Expanding Oil Slick

  • Physical setup: Oil spill forms a circle with radius r(t)r(t) growing at drdt=2 mi/h.\displaystyle \frac{dr}{dt}=2\ \text{mi/h}.
  • Area function: A=πr2.A=\pi r^2.
  • Differentiate implicitly with respect to tt:
    dAdt=2πrdrdt.\displaystyle \frac{dA}{dt}=2\pi r\frac{dr}{dt}.
  • Plug known rate and evaluate at r=3 mir=3\ \text{mi}:
    dAdt=2π(3)(2)=12π mi2/h.\displaystyle \frac{dA}{dt}=2\pi(3)(2)=12\pi\ \text{mi}^2/\text{h}.
  • Significance: Chain rule links geometric growth (area) to directly measurable linear growth (radius), a common pattern in physics & engineering.

Conceptual Connections & Practical Notes

  • Chain rule unifies all previous derivative techniques; the product, quotient, and basic power rules are special-case outer layers.
  • Evident across disciplines:
    • Economics (marginal analysis, elasticity).
    • Physics (kinematics with multi-stage dependencies).
    • Biology (population models with layered environmental factors).
  • Ethical/Philosophical aside: In modeling real-world systems, ensure each composed function is valid in its domain; incorrect nesting may misrepresent realities (e.g., negative production levels or radii).

Numerical & Notational Reminders

  • Always keep LaTeX negative exponents in parentheses—e.g.
    (3x+1)0.9(3x+1)^{-0.9} vs. 3x+10.93x+1^{-0.9} (latter is ambiguous).
  • Avoid swapping inner/outer roles; u(h(x))h(u(x)).u(h(x))\neq h(u(x)).
  • For fractional/negative powers, rewriting radicals as powers makes chain rule mechanical.

Study Checklist

  • Memorize generalized power rule nun1u.n\,u^{\,n-1}u'.
  • Practice layered compositions where more than two functions nest.
  • Reproduce the business & oil-slick examples without notes; these integrate conceptual recognition, rule application, and contextual interpretation.
  • Cross-verify results via alternative methods (e.g., expand simple powers once, differentiate, match with chain-rule output).
  • Stay mindful of domain constraints and units when applying to real data.