π Limits and Continuity in Partial Derivatives (14 MCQs)
π From Calculus β’ 14. Partial Derivatives Calculus β’ 14 questions available
What is Limits and Continuity in Partial Derivatives?
Definition:
This topic establishes foundational limit concepts required before defining partial derivatives and continuity rigorously.
Example:
Verifying that using polar coordinates before computing .
Reason:
Partial derivatives rely on single-variable limits, but multivariable differentiability requires stronger conditions rooted in general multivariable limit theory.
π All Limits and Continuity in Partial Derivatives MCQs
Q1. A function is defined such that along every straight line path passing through the origin, the limit equals 0. However, along the parabolic path , the limit equals 1. Which statement best describes the continuity of at the origin?
π Explanation: This question tests conceptual understanding of multivariable limits. Agreement along infinite straight lines is insufficient for continuity; the limit must be unique regardless of the approach path. Since the parabolic path yields a different value than linear paths, the overall limit does not exist, making the function discontinuous at that point despite linear agreement.
Q2. Consider for and . A student claims the function is continuous at the origin because converting to polar coordinates gives . Identify the flaw in this reasoning.
π Explanation: This error analysis question highlights a common misconception: treating as independent of in polar limits. If varies with , the expression may not uniformly tend to zero. True continuity requires the limit to hold for all possible approaches, including curved paths where angular dependence on radius creates non-zero limits.
Q3. An engineering model uses to represent temperature distribution near a heat source at the origin. To ensure physical realism, the temperature must be continuous at the source. What value should be assigned to ?
π Explanation: This application-based direct recall question connects mathematical limits to physical modeling. Recognizing the standard single-variable limit form embedded in two variables, we substitute . As , , and . Assigning this value ensures continuity and physical consistency.
Q4. Given the contour plot of a function where level curves become infinitely dense and oscillate between values 2 and -2 as they approach the point , what can be definitively concluded about ?
π Explanation: This graph-based interpretation question requires analyzing visual density of level curves. Infinitely dense oscillating contours indicate rapid value changes without convergence. For a limit to exist, function values must stabilize within any epsilon neighborhood. Persistent oscillation between distinct values violates the uniqueness requirement, confirming non-existence regardless of apparent symmetry or boundedness.
Q5. Let . Without computing partial derivatives, determine whether is continuous at the origin using inequality bounding.
π Explanation: This multi-step application problem requires constructing bounds rather than path testing. Using and similar for , we get . Since , the squeeze theorem guarantees continuity. This demonstrates how algebraic manipulation can resolve continuity when direct substitution fails.
Q6. A student evaluates by claiming it equals 0 because 'the denominator grows while numerator shrinks.' While the answer is correct, why is this reasoning insufficient for full credit?
π Explanation: This error analysis question distinguishes intuitive reasoning from mathematical rigor. While growth heuristics often predict correct answers, they fail to address directional dependencies or hidden singularities. Proper justification requires formal tools like squeeze theorem or epsilon-delta proofs that account for all possible approaches, ensuring the conclusion holds universally rather than just intuitively.
Q7. Compare two methods for evaluating : Method A tests paths ; Method B uses polar coordinates. Which statement accurately assesses their effectiveness?
π Explanation: This mixed concepts question evaluates methodological understanding. Method A reveals different limits for different slopes (), proving non-existence. Method B yields , showing -dependence confirming the same conclusion. Neither proves existence here, but together they provide complementary evidence of discontinuity through different analytical lenses.
Q8. Define for positive integers . Under what general condition is guaranteed continuous at the origin when defined as 0 there?
π Explanation: This challenging Olympiad-style problem requires synthesizing exponent analysis with inequality techniques. Simple degree comparison fails for mixed denominators. The weighted AM-GM approach shows . Matching exponents leads to the condition , which ensures the numerator vanishes faster than denominator along all critical paths.
Q9. In a fluid dynamics simulation, velocity field models vortex flow. Why can't we define to make the field continuous at the origin?
π Explanation: This scenario-based conceptual question links continuity to physical vector fields. Even though magnitude blows up, the deeper issue is directional non-uniqueness: radial approach gives undefined direction while angular approach preserves rotation. No single vector assignment can satisfy limit definition since neighboring points have fundamentally different orientations, making continuity impossible regardless of magnitude behavior.
Q10. Evaluate . Which transformation simplifies this indeterminate form most effectively?
π Explanation: This application question recognizes embedded single-variable structure within multivariable context. The expression depends solely on radial distance , making it radially symmetric. Substituting transforms it to . This avoids unnecessary multivariable complexity by exploiting symmetry.
Q11. A peer argues that since has partial derivatives and , the function must be continuous at the origin. What is the fundamental error?
π Explanation: This error analysis targets confusion between partial existence and continuity. Partial derivatives only measure behavior along coordinate axes, ignoring diagonal or curved approaches. A function can have well-defined axial rates of change yet exhibit wild behavior elsewhere. Continuity demands global limit existence, requiring analysis beyond axis-restricted information that partials provide.
Q12. Consider . Despite being zero almost everywhere, why is discontinuous at the origin?
π Explanation: This conceptual understanding question challenges intuition about 'almost everywhere' properties. Topological continuity cares about pointwise neighborhoods, not measure. Any delta-ball around origin intersects the parabola, producing function value 1 arbitrarily close to origin where value is 0. This prevents satisfaction of continuity definition regardless of how sparse the exceptional set appears globally.
Q13. When analyzing , a student writes . While correct, what hidden assumption makes this dangerous in general?
π Explanation: This mixed concepts question examines validity of asymptotic substitutions. While works here because remainder , in cases like , naive replacement loses essential cubic term. Safe usage requires verifying that neglected terms vanish relative to denominator, demanding careful order analysis.
Q14. Suppose satisfies near the origin. Without knowing the explicit formula, what can be concluded about continuity at if ?
π Explanation: This direct recall application reinforces squeeze theorem utility with abstract bounds. The given inequality provides dominating function that clearly approaches 0 as . Since absolute value of f is trapped between 0 and g, f must also approach 0, matching defined value and establishing continuity purely through bounding.