Mixed review R3: approximation, geometry, and local change
Use this review after Module 38. The questions bring series and curve geometry back into multivariable work. Do not treat an unfamiliar representation as evidence that the underlying mathematics is new.
Classify as absolutely convergent, conditionally convergent, or divergent. Give a valid bound on the error after ten terms.
Find the degree-four Maclaurin polynomial for . Give a rigorous uniform error bound for by noticing that the degree-five polynomial is identical.
For , , find the tangent line at . Explain why slope is rather than alone.
Find the plane through , , and . Check each point.
For , find speed and curvature.
Prove using a bound that covers all paths.
For , find its directional derivative at in the direction and its greatest possible rate of increase there. Interpret the zero rate geometrically.
Find the absolute minimum and maximum of on the ellipse . Use Lagrange multipliers or a reduction to one variable, and justify completeness of the candidates.
Optional small hints
For R3.01, analyze the positive function on . For R3.06, compare the absolute value with the distance to the origin. For R3.08, inspect the cases where either coordinate is zero rather than dividing both coordinates away.
Complete solutions: Mixed review R3#
Compare the first step where your work differs. A corrected answer is not yet an independent success.
R3.01Show solution
Alternation and absolute convergence require separate arguments
The magnitudes tend to zero. Since for , they are nonincreasing. The alternating-series theorem proves convergence. For absolute values, , so limit comparison with the harmonic series gives divergence. Thus the original series is conditionally convergent. The alternating remainder satisfies . This is a bound, not a claim that the actual error equals that number.
Back to R3.01R3.02Show solution
Use a vanished coefficient to improve a bound
Substitute in to get . The fifth derivative at zero vanishes, so . The sixth derivative has absolute value at most . Taylor’s theorem therefore gives
The estimate is uniform over the stated interval. Using the degree-four remainder directly would be valid but less sharp with a crude fifth-derivative bound.
Back to R3.02R3.03Show solution
Divide output change per time by input change per time
At the point is . Derivatives are and , so the slope is . Thus . The chain rule says where , so dividing by converts change per parameter to change per horizontal input. Here .
Back to R3.03R3.04Show solution
Two independent in-plane directions give a normal
The vectors and have cross product . It is nonzero, so the three points are not collinear and determine one plane. Using gives , or . Each of has coordinate sum , independently checking the result.
Back to R3.04R3.05Show solution
A curve’s speed and curvature are not interchangeable
Velocity is , with norm . Acceleration is . Their cross product is , with norm . Thus . The speed is constant and nonzero, so the curvature formula applies at every parameter value. Curvature measures bending per arc length, not distance traveled per unit time.
Back to R3.05R3.06Show solution
A single bound handles every approach
For ,
The right side tends to zero as the point approaches the origin, so the squeeze theorem gives the claimed limit. Unlike checking a few lines, this bound applies to every point in a punctured disk.
Back to R3.06R3.07Show solution
Normalize the direction before taking the dot product
Away from the origin, . At it is . The unit direction is , so the directional derivative is . The greatest rate is the gradient norm , in direction . The zero-rate direction is tangent to the circular level curve ; first-order change vanishes along that tangent direction, not along every possible displacement.
Back to R3.07R3.08Show solution
Treat zero coordinates as legitimate candidates
Let , . The ellipse is compact and smooth, so extrema exist and on it. The multiplier equations are , , and . If both coordinates were nonzero, the first two equations would give incompatible values and . Thus one coordinate vanishes. At , ; at , . Therefore the minimum is and maximum . Alternatively, the constraint gives with , proving the same global bounds directly.
Back to R3.08Retention and readiness#
Before multiple integrals, repair any confusion between a curve’s parameter, its coordinates, and its arc length. Retrieve M29.07 for endpoint behavior, M33.05 for plane normals, M35.08 for false path evidence, and M38.08 for constraint singularities.