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Linear Approximations and Differentials: Fresh Take

  • Explain and use linearization to approximate a function’s value near a specific point
  • Calculate and interpret differentials to estimate small changes in function values
  • Measure the accuracy of approximations made with differentials by calculating relative and percentage errors

Linear Approximation of a Function at a Point

The Main Idea 

  • Linear approximation (or tangent line approximation) of f at x=a is given by:
    • L(x)=f(a)+f(a)(xa)
  • Interpretation:
    • Uses the tangent line at a point to estimate function values nearby
    • Accurate for x close to a
    • Based on the idea that smooth functions look linear when zoomed in sufficiently
  • Key Formula:
    • f(x)f(a)+f(a)(xa) for x near a
  • Applications:
    • Estimating function values
    • Root approximation
    • Simplifying complex calculations
    • Basis for Newton’s method
  • Limitations:
    • Accuracy decreases as x moves away from a
    • Not suitable for functions with sharp turns or discontinuities at a

Find the local linear approximation to f(x)=3x at x=8. Use it to approximate 38.1 to five decimal places.

Find the linear approximation for f(x)=cosx at x=π2.

Find the linear approximation of f(x)=(1+x)4 at x=0 without using the result from the preceding example.

Differentials and Amount of Error

The Main Idea 

  • For a function y=f(x), the differential dy is defined as: dy=f(x),dx
    • dx is an independent variable that can be any nonzero real number
  • Relationship to Linear Approximation:
    • Δydy for small changes in x
    • Based on the linear approximation: f(a+dx)f(a)+f(a),dx
  • Error Estimation:
    • Propagated Error: Δy=f(a+dx)f(a)
    • Estimated Error: Δydyf(a+dx),dx
  • Relative and Percentage Error:
    • Relative Error: Δqq, where q is the actual value
    • Percentage Error: Relative error expressed as a percentage
  • Applications:
    • Approximating function value changes
    • Estimating measurement errors in calculations
    • Analyzing accuracy in scientific measurements

For y=ex2, find dy.

For y=x2+2x, find Δy and dy at x=3 if dx=0.2.

Estimate the error in the computed volume of a cube if the side length is measured to be 6 cm with an accuracy of 0.2 cm.