Differentiation Review for Exam

Differentiation Notes

The Derivative and the Tangent Line Problem

  • The derivative of a function measures how the function value changes as its input changes.

Fundamental Concepts

Derivative Functions
  • Derivative functions describe the rate of change of a function.

Basic Differentiation Rules
  • The primary tool for differentiation includes product and quotient rules, derivatives of trigonometric and exponential functions, and the chain rule.

Product and Quotient Rules
  • For functions f(x) and g(x):

    • Product Rule:
      d[f(x)imesg(x)]=f(x)imesg(x)+f(x)imesg(x)d[f(x) imes g(x)] = f'(x) imes g(x) + f(x) imes g'(x)

    • Quotient Rule:
      racddx[racf(x)g(x)]=racf(x)g(x)f(x)g(x)[g(x)]2rac{d}{dx}\bigg[ rac{f(x)}{g(x)}\bigg] = rac{f'(x)g(x) - f(x)g'(x)}{[g(x)]^2}

Derivatives of Trigonometric and Exponential Functions
  • Key derivatives to memorize:

    • racddx[extsin(x)]=extcos(x)rac{d}{dx}[ ext{sin}(x)] = ext{cos}(x)

    • racddx[extcos(x)]=extsin(x)rac{d}{dx}[ ext{cos}(x)] = - ext{sin}(x)

    • racddx[exttan(x)]=extsec2(x)rac{d}{dx}[ ext{tan}(x)] = ext{sec}^2(x)

    • Exponential function:
      racddx[ex]=exrac{d}{dx}[e^x] = e^x

The Chain Rule
  • If h(x) = f(g(x)), then
    h(x)=f(g(x))g(x)h'(x) = f'(g(x))g'(x)

Derivatives of Inverse Functions
  • If f is a one-to-one function and has an inverse, then
    racddx[f1(x)]=rac1f(f1(x))rac{d}{dx}[f^{-1}(x)] = rac{1}{f'(f^{-1}(x))}

Higher Derivatives
  • Notation and meaning:

    • First derivative: f(x)f'(x)

    • Second derivative: f(x)f''(x)

    • Third derivative: f(x)f'''(x)

    • n-th derivative: f(n)(x)f^{(n)}(x)

Implicit Differentiation
  • Used when y is not isolated. Follow these steps:

    1. Differentiate both sides implicitly with respect to x.

    2. Collect terms and isolate y' to solve for it.

Tangent Lines

Definition and Calculation
  • The tangent line to the curve y = f(x) at the point (a, f(a)) is defined as:
    yf(a)=f(a)(xa)y - f(a) = f'(a)(x - a)

  • The slope (m) is the derivative at that point:
    m=f(a)m = f'(a)

Example
  1. Given the function f(x) = x² + 2, task to find the slope at (1,3):

    • m=limxo1racf(x)f(1)x1m = lim_{x o 1} rac{f(x) - f(1)}{x - 1}

    • Slope calculated as 2.

  2. Find equation of tangent line:

    • y3=2(x1)y - 3 = 2(x - 1)

    • Simplified equation: y=2x+1y = 2x + 1

Applications of Derivatives

Physical Interpretations
  • The derivative f'(a) can represent rates of change in various fields:

    • Physics: s(t)s(t) represents position, s(t)s'(t) is velocity.

    • Economics: C(t)C'(t) represents cost changes over time.

Differentiability

Definition of Differentiability
  • A function is differentiable at a point if the derivative exists at that point.

  • Additionally, a function is differentiable on an interval if it is differentiable at every point in that interval.

Conditions for Non-Differentiability
  • The function may not be differentiable at:

    1. Points with discontinuities.

    2. Points with sharp corners (corners, cusps).

    3. Points with vertical tangents.

Summary of Differentiation Rules

  • Constant: d[c]=0d[c] = 0

  • Power Rule: d[xn]=nxn1d[x^n] = nx^{n-1}

  • Constant Multiple: d[cimesf(x)]=cimesf(x)d[c imes f(x)] = c imes f'(x)

  • Sum: d[f(x)+g(x)]=f(x)+g(x)d[f(x) + g(x)] = f'(x) + g'(x)

  • Difference: d[f(x)g(x)]=f(x)g(x)d[f(x) - g(x)] = f'(x) - g'(x)

Examples and Exercises

  1. Differentiate f(x)=4x2x+2f(x) = 4x^2 - x + 2:

    • f(x)=8x1f'(x) = 8x - 1

  2. Find f(x)f'(x) for h(x)=(3x+1)(x2)h(x) = (3x + 1)(x^2):

    • Apply product rule:

    • h(x)=(3)(x2)+(3x+1)(2x)h'(x) = (3)(x^2) + (3x + 1)(2x)

  3. Example with trigonometric functions, such as f(x)=sin(x)+exf(x) = sin(x) + e^x to derive: f(x)=cos(x)+exf'(x) = cos(x) + e^x.

  4. Implicit differentiation example with x2+y2=25x^2 + y^2 = 25. Differentiate both sides to find yy':

    • 2x+2yracdydx=0<br>ightarrowy=racxy2x + 2y rac{dy}{dx} = 0 <br>ightarrow y' = - rac{x}{y}.

  5. Logarithmic Differentiation Example: For y=xxy = x^x, take the natural log of both sides and differentiate.

Conclusion
  • Mastering differentiation involves understanding functions’ behavior in different contexts, using various rules and interpretations to analyze and solve problems in mathematics and applied fields.