U = Sin(x), then ∂U/∂x = What? The degree of the homogeneous function z = √(x + y) is? Evaluate partial derivatives and other expressions as given in the questions.

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Understand the Problem

The document comprises multiple-choice questions related to mathematics. It includes questions covering topics such as partial derivatives, homogeneous functions, and specific mathematical expressions needing evaluation or derivation.

Answer

1. \( \cos(x) \); Degree: 1.
Answer for screen readers
  1. ( \frac{\partial U}{\partial x} = \cos(x) )

  2. The degree of the homogeneous function ( z = \sqrt{x + y} ) is 1.

Steps to Solve

  1. Find the Partial Derivative of U

To find the partial derivative of ( U = \sin(x) ) with respect to ( x ), we differentiate:

$$ \frac{\partial U}{\partial x} = \cos(x) $$

  1. Determine the Degree of the Homogeneous Function

For the homogeneous function ( z = \sqrt{x + y} ), we need to find its degree. A function ( f(x, y) ) is homogeneous of degree ( n ) if it satisfies ( f(tx, ty) = t^n f(x, y) ). Here, we can see that:

$$ z(tx, ty) = \sqrt{tx + ty} = t\sqrt{x + y} $$

Thus, the degree is 1.

  1. Calculate the Second Partial Derivative

For the function ( Z = f(x + ay) + \phi(x - ay) ), the second partial derivative ( \frac{\partial^2 Z}{\partial y^2} ) can be calculated as follows:

Differentiating once gives:

$$ \frac{\partial Z}{\partial y} = f'(x + ay) \cdot a + \phi'(x - ay)(-a) $$

Now differentiating again:

$$ \frac{\partial^2 Z}{\partial y^2} = f''(x + ay) \cdot a^2 + \phi''(x - ay)(-a^2) $$

  1. Summary of Derivatives

The derivatives ( \frac{\partial^2 U}{\partial x^2} ) and ( \frac{\partial^2 Z}{\partial y^2} ) need to be calculated similarly for the other derivatives indicated in the document.

  1. ( \frac{\partial U}{\partial x} = \cos(x) )

  2. The degree of the homogeneous function ( z = \sqrt{x + y} ) is 1.

More Information

  • The derivative ( \frac{\partial U}{\partial x} = \cos(x) ) reflects the rate of change of the sine function.
  • Homogeneous functions often appear in various mathematical contexts, including optimization and economics.

Tips

  • Confusing the degree of a function; remember to analyze the function under scalar multiplication to confirm its degree.
  • Incorrectly applying the chain rule when calculating partial derivatives; always ensure to differentiate all variables correctly.

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