SUMMARY
This discussion centers on the differentiability of functions of two variables, specifically addressing how differentiability can exist even when partial derivatives are not continuous. The example of the function f(t) = t² sin(1/t) illustrates that while the function is differentiable on ℝ, its derivative is not continuous. The key condition for differentiability in multivariable calculus is that the function can be locally approximated by a linear function, represented by the gradient vector. The conversation emphasizes the importance of understanding the point at which differentiation is evaluated and the nuances of notation in expressing differentiability.
PREREQUISITES
- Understanding of multivariable calculus concepts
- Familiarity with gradient vectors and their significance
- Knowledge of partial derivatives and their continuity
- Basic understanding of linear approximations in calculus
NEXT STEPS
- Study the definition and properties of differentiability in multivariable functions
- Learn about the role of the gradient vector in approximating functions
- Explore examples of functions with discontinuous partial derivatives
- Read about the implications of differentiability in higher dimensions
USEFUL FOR
Students of multivariable calculus, mathematicians, and educators seeking to deepen their understanding of differentiability and its applications in higher dimensions.