SUMMARY
The directional derivative of the function f(x,y) = ln(sqrt(x^2 + y^2)) at any point (x,y) ≠ (0,0) toward the origin can be calculated using the gradient and a unit vector in the desired direction. The gradient is given by grad f(x,y) = (1/(x^2 + y^2))(xi + yj). The directional derivative is computed as the dot product of the gradient and the unit vector, which can be represented as ∇f · (cos(θ)i + sin(θ)j). The final result simplifies to (x^2 + y^2)^(-1/2), confirming the correctness of the approach.
PREREQUISITES
- Understanding of multivariable calculus concepts, specifically directional derivatives.
- Familiarity with gradient vectors and their properties.
- Knowledge of unit vectors and their calculation.
- Basic trigonometry, particularly sine and cosine functions.
NEXT STEPS
- Study the properties of gradient vectors in multivariable calculus.
- Learn how to compute directional derivatives for various functions.
- Explore the concept of unit vectors and their applications in vector calculus.
- Investigate the implications of directional derivatives in optimization problems.
USEFUL FOR
Students and professionals in mathematics, particularly those studying calculus, as well as anyone involved in fields requiring optimization and analysis of multivariable functions.