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Understanding Multivariable Limits and Continuity

Nov 3, 2024

Lecture Notes on Limits and Continuity of Multivariable Functions

Introduction

  • Focus on Section 13.2: Limits and Continuity of Multivariable Functions.
  • Importance of understanding limits before proceeding with multivariable functions.
  • Recap on limits from Calc 1: understanding one variable functions as curves on a plane.

Limits of One Variable Functions

  • A limit exists if approaching from the left and right leads to the same value.
  • In one variable functions, the curve is considered, not just the x-axis.
  • Key concept: traveling along the curve determines the limit.

Transition to Multivariable Functions

  • Limits in multivariable functions involve more complexity.
  • No longer dealing with a single axis but a plane.
  • Functions of two variables create surfaces, not curves.
  • Challenge: infinite paths to approach a point on a surface.
  • Proving a limit exists requires showing all paths lead to the same height.

Proving Limits Do Not Exist

  • Easier than proving they do exist.
  • Requires showing at least two paths lead to different heights.
  • Demonstrated with examples using paths like x=0 or y=0.

Evaluating Limits

  • Start by plugging in values.
  • If the function is defined and continuous at that point, the limit exists.
  • Use techniques like polar coordinates and the squeeze theorem.

Continuity

  • A function is continuous at any point inside its domain.
  • Domains determine regions of continuity – focus on exclusion of undefined points.
  • Composition of functions and continuity: polynomials are continuous everywhere; rational functions everywhere except where the denominator is zero.

Advanced Techniques

  • Use of parametric equations to evaluate limits in 3D.
  • Squeeze theorem for proving limits exist when standard methods fail.
  • Continuous compositions hold continuity properties.

Conclusion

  • Key takeaway: understanding and determining limits is crucial for multivariable calculus.
  • Techniques taught in the lecture provide tools to approach complex limit problems effectively.