Applications Of Multivariable Derivatives

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Applications Of Multivariable Derivatives - Quiz

Multi variable calculus are an extension of calculus in 1 variable to calculus with functions of several variables, like for instance, the differentiation and integration of functions involving multiple variables rather than just one. Test your knowledge about those types of applications by completing our small quiz.


Questions and Answers
  • 1. 

    What are the typical operations involved in multivariable calculus?

    • A.

      Limits and continuity.

    • B.

      With limits exclusively.

    • C.

      With continuity exclusively.

    • D.

      None of the above.

    Correct Answer
    A. Limits and continuity.
    Explanation
    The typical operations involved in multivariable calculus include limits and continuity. These concepts are fundamental in understanding the behavior of functions with multiple variables. Limits allow us to analyze the behavior of a function as it approaches a certain point, while continuity ensures that a function is smooth and connected without any abrupt changes. By studying limits and continuity, we can gain insights into the behavior and properties of multivariable functions.

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  • 2. 

    What does the partial derivative do?

    • A.

      It generalizes the notion of the derivative to higher dimensions.

    • B.

      It partially solves equations.

    • C.

      It only helps decipher the first steps into solving an equation.

    • D.

      It helps find exact results.

    Correct Answer
    A. It generalizes the notion of the derivative to higher dimensions.
    Explanation
    The partial derivative generalizes the notion of the derivative to higher dimensions. In multivariable calculus, functions can have multiple independent variables, and the partial derivative measures the rate of change of the function with respect to one variable while holding the others constant. It allows us to understand how a function changes in different directions in a multi-dimensional space. By calculating partial derivatives, we can analyze the behavior of functions in higher dimensions and solve problems involving multiple variables.

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  • 3. 

    What's the use of the del operator in vector calculus?

    • A.

      To define concepts of numbers, divergence and curl in terms of partial derivatives.

    • B.

      To define concepts of values, divergence and curl in terms of partial derivatives.

    • C.

      To define concepts of gradiant, divergence and curl in terms of partial derivatives.

    • D.

      To define concepts of functions, divergence and curl in terms of partial derivatives.

    Correct Answer
    C. To define concepts of gradiant, divergence and curl in terms of partial derivatives.
    Explanation
    The del operator in vector calculus is used to define concepts of gradient, divergence, and curl in terms of partial derivatives. The gradient represents the rate of change of a scalar field, while the divergence measures the tendency of a vector field to either converge or diverge at a given point. The curl, on the other hand, describes the rotation or circulation of a vector field. By using the del operator, these important concepts can be expressed mathematically in terms of partial derivatives.

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  • 4. 

    How is a matrix of partial derivatives called?

    • A.

      Adam's matrix

    • B.

      Newton matrix

    • C.

      Jacobian matrix

    • D.

      Leibniz matrix

    Correct Answer
    C. Jacobian matrix
    Explanation
    A matrix of partial derivatives is called the Jacobian matrix. This matrix represents the derivatives of a vector-valued function with respect to its input variables. It is used in various mathematical fields, such as calculus, differential equations, and physics, to analyze the behavior of functions and systems. The Jacobian matrix is an important tool in studying the rate of change of multivariable functions and plays a crucial role in applications like optimization, linearization, and solving systems of equations.

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  • 5. 

    What is the Jacobian matrix used for?

    • A.

      To represent the derivative of a function between 2 spaces or arbitrary dimensions.

    • B.

      To represent the derivative of a function between 2 spaces or arbitrary axis.

    • C.

      To represent the solution of a function between 2 spaces or arbitrary dimensions.

    • D.

      To represent the shaded area of a function between 2 spaces or arbitrary dimensions.

    Correct Answer
    A. To represent the derivative of a function between 2 spaces or arbitrary dimensions.
    Explanation
    The Jacobian matrix is used to represent the derivative of a function between 2 spaces or arbitrary dimensions. It provides a way to calculate how the function changes with respect to each input variable, allowing for the analysis of the function's behavior and properties.

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  • 6. 

    How are differential equations containing partial derivatives called?

    • A.

      A Jacobian matrix.

    • B.

      A Newton Matrix

    • C.

      A calculus matrix

    • D.

      A Pythagorean matrix.

    Correct Answer
    A. A Jacobian matrix.
  • 7. 

    What's the logic behind the Fubini theorem?

    • A.

      It guarantees that a multiple integral is evaluated as a repeated function.

    • B.

      It guarantees that a multiple integral is evaluated as a repeated formula.

    • C.

      It guarantees that a single integral is evaluated as a repeated integral.

    • D.

      It guarantees that a multiple integral is evaluated as a repeated integral.

    Correct Answer
    D. It guarantees that a multiple integral is evaluated as a repeated integral.
    Explanation
    The Fubini theorem states that a multiple integral can be evaluated by iterated integration, where each integral is evaluated one after the other. This means that the integral can be evaluated by integrating with respect to one variable at a time. The theorem guarantees that this process will give the same result as evaluating the multiple integral directly. Therefore, the correct answer is that the Fubini theorem guarantees that a multiple integral is evaluated as a repeated integral.

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  • 8. 

    What are the surface and line integrals used for?

    • A.

      To change over curved manifolds such as surfaces and curves.

    • B.

      To integrate over straight manifolds such as surfaces and curves.

    • C.

      To integrate over curved manifolds such as surfaces and curves.

    • D.

      To integrate over curves uch as surfaces and curves.

    Correct Answer
    C. To integrate over curved manifolds such as surfaces and curves.
    Explanation
    Surface and line integrals are used to integrate over curved manifolds such as surfaces and curves. These integrals allow us to calculate quantities such as flux, work, and circulation over these curved objects. By integrating over the surface or curve, we can obtain the total value of the quantity being measured. This is particularly useful in physics and engineering, where curved objects are often encountered and their properties need to be analyzed and calculated.

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  • 9. 

    How many theorems of calculus are found in multiple dimension?

    • A.

      4

    • B.

      3

    • C.

      5

    • D.

      6

    Correct Answer
    A. 4
    Explanation
    There are four theorems of calculus that are found in multiple dimensions. These theorems include the Mean Value Theorem, the Fundamental Theorem of Calculus, Green's Theorem, and Stokes' Theorem. These theorems are used to solve problems involving functions of multiple variables and vector fields.

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  • 10. 

    What is the purpose of multivariate calculus?

    • A.

      They are used in optimal control of continuous time dynamic systems.

    • B.

      They are used in optimal control of continuous time dynamic measures.

    • C.

      They are used in optimal control of continuous time dynamic formula.

    • D.

      They are used in optimal control of continuous time dynamic values.

    Correct Answer
    A. They are used in optimal control of continuous time dynamic systems.
    Explanation
    Multivariate calculus is used in optimal control of continuous time dynamic systems. This is because multivariate calculus deals with functions of multiple variables, which is essential for modeling and analyzing complex systems with multiple interacting variables. By applying multivariate calculus techniques, such as partial derivatives and gradients, one can optimize the control of continuous time dynamic systems to achieve desired outcomes.

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  • Current Version
  • Mar 20, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Jan 12, 2018
    Quiz Created by
    Anouchka
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