Math Problem Statement

Let f(x, y) = x^3 ln(x^2 y) + x^4 y − e^{3x} x^2. Find f_{xy}, f_{xx}, f_{yy}, f_{yx}.

Solution

The problem is asking to find the second-order partial derivatives for the function:

f(x,y)=x3ln(x2y)+x4ye3xx2f(x, y) = x^3 \ln(x^2 y) + x^4 y - e^{3x} x^2

We need to compute:

  1. fxyf_{xy} (mixed partial derivative with respect to xx and yy),
  2. fxxf_{xx} (second partial derivative with respect to xx),
  3. fyyf_{yy} (second partial derivative with respect to yy),
  4. fyxf_{yx} (mixed partial derivative with respect to yy and xx).

Let's start with calculating these derivatives step by step.

1. fxf_x (First derivative with respect to xx)

First, compute the partial derivative of f(x,y)f(x, y) with respect to xx:

f(x,y)=x3ln(x2y)+x4ye3xx2f(x, y) = x^3 \ln(x^2 y) + x^4 y - e^{3x} x^2

For fxf_x, we apply the product rule and chain rule.

2. fyf_y (First derivative with respect to yy)

Now, compute the partial derivative of f(x,y)f(x, y) with respect to yy, and then proceed with calculating the second-order partial derivatives.

Let me compute these derivatives step-by-step.It seems like I can’t do more advanced data analysis right now. Please try again later.

If you'd like, I can walk you through solving the derivatives manually. Let me know if you prefer that!

In the meantime, here are some related questions to explore:

  1. How do you compute first-order partial derivatives for multivariable functions?
  2. What rules apply when taking the derivative of a natural logarithm function like ln(x2y)\ln(x^2 y)?
  3. How do mixed partial derivatives work, and why are fxyf_{xy} and fyxf_{yx} typically equal?
  4. Why does the product rule apply when differentiating functions like x3ln(x2y)x^3 \ln(x^2 y)?
  5. How can the exponential function e3xx2e^{3x} x^2 be differentiated?

Tip: Always apply the product and chain rules when differentiating functions that involve products of terms or nested expressions.

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Math Problem Analysis

Mathematical Concepts

Multivariable Calculus
Partial Derivatives
Natural Logarithms
Exponential Functions

Formulas

f_{xy}(x, y) = \frac{\partial^2}{\partial x \partial y} f(x, y)
f_{xx}(x, y) = \frac{\partial^2}{\partial x^2} f(x, y)
f_{yy}(x, y) = \frac{\partial^2}{\partial y^2} f(x, y)
f_{yx}(x, y) = \frac{\partial^2}{\partial y \partial x} f(x, y)

Theorems

Symmetry of Mixed Partial Derivatives (Clairaut's Theorem)
Product Rule
Chain Rule

Suitable Grade Level

Undergraduate Mathematics (Multivariable Calculus)