📝 Del operator ∇ in vector calculus (14 MCQs)
📖 From Calculus • 16. Topics in vector Calculus • 14 questions available
What is Del operator ∇ in vector calculus?
Del operator in vector calculus:
The del operator is a vector differential operator , applied to scalar or vector fields.
Example:
Applied to scalar , ; applied to vector , or .
Reason:
Del unifies gradient, divergence, and curl, streamlining vector calculus notation and revealing underlying geometric meanings.
📝 All Del operator ∇ in vector calculus MCQs
Q1. For a scalar field , suppose . Which interpretation of is most appropriate when denotes the vector-calculus differential operator used to obtain the gradient?
📖 Explanation: The gradient operator applied to a scalar field produces a vector containing the partial derivatives of the field with respect to the coordinate directions. It points toward the direction of greatest increase of . The other choices confuse gradient with divergence, curl, or tangent directions.
Q2. A student says that applying the same vector-calculus operator to a scalar field and to a vector field must always produce the same type of result. Which response best evaluates this claim?
📖 Explanation: The operator commonly represented by is interpreted through its interaction with the object on which it acts. Applied to a scalar field, it produces a vector through the gradient. Applied through a dot product with a vector field, it produces a scalar divergence. Thus context matters.
Q3. Let . At the point , a particle can move in any direction but wants to increase as rapidly as possible. Which vector should determine its instantaneous direction of motion?
📖 Explanation: The gradient is . At , it becomes , so the direction of greatest increase is represented by option B. The distractors arise from common mistakes such as changing the sign of the -component or incorrectly substituting the absolute value of the coordinate.
Q4. A vector field is given by . If the operator is applied as a dot product with , what quantity is obtained?
📖 Explanation: When acts as the divergence operator, it is evaluated as . Thus . Careful differentiation with respect to the matching coordinate is required.
Q5. Consider a vector field . A student computes because the field has no -component. What is the fundamental error?
📖 Explanation: Curl depends on spatial derivatives of the vector components, not merely on whether one component is zero. For , the -component of the curl contains . Therefore the curl is not zero.
Q6. A velocity field is observed to have arrows that circulate counterclockwise around the origin, with stronger circulation closer to the center. Which use of the operator would best quantify the local rotational tendency?
📖 Explanation: A circulating vector-field pattern suggests local rotation. The curl operator is designed to measure this rotational tendency, with its direction indicating the local axis of rotation according to the right-hand rule. Divergence instead measures net local expansion or compression, while gradient applies naturally to scalar fields.
Q7. A temperature field is modeled by . An engineer wants to identify the direction in which temperature rises most rapidly from a given location. Which operation is most appropriate?
📖 Explanation: Temperature is a scalar field, so the appropriate application of the differential operator is the gradient. Here , which is constant throughout space. This vector gives both the direction of maximum increase and the rate of maximum directional increase through its magnitude.
Q8. A flow field is modeled by . At a point where , , and , a student claims that the divergence must be negative because the third component of the field is negative. Which conclusion is correct?
📖 Explanation: Divergence is determined by , not by the signs of the components at one point. Here those derivatives are , giving divergence . The negative value of is irrelevant to that calculation.
Q9. A graph of a scalar field shows nested closed level curves centered at the origin, with values increasing toward the center. At a point on one of the curves, which direction should the vector produced by point?
📖 Explanation: The gradient is perpendicular to level curves because moving tangentially along a level curve produces no first-order change in the scalar field. Since the graph indicates that values increase toward the center, the gradient at the selected point must point inward, perpendicular to the corresponding level curve.
Q10. A computational model gives a vector field and reports both and throughout a simply connected region. Which interpretation is strongest?
📖 Explanation: A zero divergence indicates no local net expansion or compression, while a zero curl indicates no local rotational tendency. Having both zero does not imply that the vector field itself is zero or that its magnitude is constant. Additional boundary conditions would be needed to determine the field uniquely.
Q11. Suppose . A student evaluates as . Why is this reasoning invalid?
📖 Explanation: Divergence is not the ordinary algebraic sum of vector components. The operator differentiates each component with respect to its corresponding coordinate: . Each derivative is zero here, so the divergence is zero.
Q12. A surface is described by . A particle constrained to move along a level surface of wants to avoid changing instantaneously. Which relationship should its velocity vector satisfy with ?
📖 Explanation: The gradient is normal to the level surface. A velocity tangent to that surface therefore has zero dot product with the gradient, meaning . This guarantees zero instantaneous directional change in , whereas a velocity parallel or antiparallel to the gradient changes the field most rapidly.
Q13. For , an analyst wants to determine whether the field locally behaves like a source or sink at , and then determine whether it has local rotation there. Which sequence is mathematically appropriate?
📖 Explanation: The divergence measures local source or sink behavior, while the curl measures local rotational tendency. For a vector field, these are different operations and generally produce different mathematical objects. Performing them in the stated sequence separates the two physical interpretations correctly.
Q14. Consider the scalar field . At every nonzero point, the gradient points directly away from the origin. A student argues that this proves the gradient is tangent to every sphere centered at the origin. What is the best assessment?
📖 Explanation: For , the gradient is , which is radial. Spheres centered at the origin are level surfaces of , so their normals are radial. Therefore the gradient is perpendicular to each sphere, not tangent to it. This distinction is central to interpreting the operator geometrically.