Calc III Tutorial: Vector-Value Functions in 3 Dimensions

\({\bf{Definitions:}}\) let x = f(t), y = g(t), z = h(t) for t on some interval (x,y,z) is the curve/path of a particle as a function of t, where f g and h are component functions the vector r(t) defines the vector from the origin to the point P, vector OP r(t) = f(t) i + g(t) j + h(t) k in general, a vector-valued function is a rule that assigns a vector to each domain element D. this is in contrast to a scalar function which assigns a scalar to each domain element (so more like the functions in lower-level math)
\({\bf{Limits~and~Continuity:}}\) \(\lim_{t \rightarrow t_{0}}r(t)=L\) means that the function r has limit of vector L as t approaches t0 and for every ε > 0 there is δ> 0 such that |r(t) - L| < ε for 0 < |t - t0| < δ (review delta-epsilon proofs if you don't remember this) r(t) is continuous at t if r(t) approaches r(t0) as t approaches t0; if every point on the function satisfies this condition the whole function is continuous
\({\bf{Derivatives:}}\) r'(t) = (df/dt) i + (dg/dt)j + (dh/dt)k (basically just take the derivative of each component) curve is "smooth" if the derivative is is continuous and nonzero at all points (note: for the derivative to be 0, all components must be 0, not just one of them) the scalar multiple of the derivative ( basically (1/Δt)*(r(t+Δt) - r(t)) ) points in the same direction as the position vector between f(t) and f(t+Δt) for positive t. for infinitely small t (Δt --> 0) this vector approaches the tangent at f(t) r'(t) points in the direction of motion
Source material is section 13.1 of Thomas' Calculus, Early Transcendentals, 14th edition by Hass, Heil, Weir, et. al.
Join our real-time social learning platform and learn together with your friends!