How to Find Relative Extrema Using Single-Variable Substitution Method
Problem
Finding relative extrema of a two-variable function f(x,y) = [x^4 + y^4 - 2(x - y)^2 - 2] * e^(x^4 + y^4 - 2(x - y)^2 - 2) by substituting t = x^4 + y^4 - 2(x - y)^2 - 2 and defining g(t) = t * e^t, exploring the relationship between local extrema of g(t) and f(x,y)
🎯 What You'll Learn
- Understand alternative methods for finding function extrema
- Explore variable substitution techniques
- Analyze complex function transformations
Prerequisites: Multivariate calculus, Function composition, Exponential functions
💡 Quick Summary
This problem asks us to find the relative extrema (local maxima and minima) of a complex two-variable function by using a clever substitution technique that transforms it into a much simpler single-variable problem. The key insight is recognizing that our function f(x,y) has the form t·e^t where t represents a specific expression in x and y, so we can first analyze the simpler function g(t) = t·e^t. By finding that g(t) has its minimum at t = -1 with value -1/e, we then work backwards to find which (x,y) points satisfy the equation that makes our substitution equal to -1. The main steps involve taking derivatives of the single-variable function, finding critical points, then solving the resulting equation x⁴ + y⁴ - 2(x - y)² = 1 to get specific coordinate pairs like (±(1/2)^(1/4), ±(1/2)^(1/4)) where f(x,y) achieves its minimum value of -1/e.
Step-by-Step Explanation
Hi there! This is a really clever problem that combines multivariable calculus with a substitution technique. Let's work through it together! 🌟
What We're Solving:
We want to find the relative extrema (local maxima and minima) of the function f(x,y) = [x⁴ + y⁴ - 2(x - y)² - 2] · e^(x⁴ + y⁴ - 2(x - y)² - 2) by using the substitution t = x⁴ + y⁴ - 2(x - y)² - 2 to create a single-variable function g(t) = t · eᵗ.The Approach:
The brilliant insight here is recognizing that our original function has the form f(x,y) = u(x,y) · e^(u(x,y)) where u(x,y) = x⁴ + y⁴ - 2(x - y)² - 2. This suggests we can study the simpler function g(t) = t · eᵗ first, then understand how extrema of g relate back to extrema of f.Step-by-Step Solution:
Step 1: Analyze g(t) = t · eᵗ Let's find the critical points of g(t):
- g'(t) = eᵗ + t · eᵗ = eᵗ(1 + t)
- Setting g'(t) = 0: Since eᵗ > 0 always, we need 1 + t = 0, so t = -1
- g''(t) = eᵗ(1 + t) + eᵗ = eᵗ(2 + t)
- At t = -1: g''(-1) = e⁻¹(2 - 1) = e⁻¹ > 0
- Since g''(-1) > 0, t = -1 gives a local minimum of g(t)
- The minimum value is g(-1) = (-1) · e⁻¹ = -1/e
Simplifying: x⁴ + y⁴ - 2(x - y)² = 1
Step 4: Expand and solve x⁴ + y⁴ - 2(x² - 2xy + y²) = 1 x⁴ + y⁴ - 2x² + 4xy - 2y² = 1
This is challenging to solve directly, but we can look for symmetric solutions. Try x = y: x⁴ + x⁴ - 2(0)² = 1 2x⁴ = 1 x⁴ = 1/2 x = ±(1/2)^(1/4)
So we get critical points at (±(1/2)^(1/4), ±(1/2)^(1/4)).
Step 5: Verify these are extrema of f(x,y) Since g(t) has its unique minimum at t = -1, and our function f(x,y) = g(u(x,y)) where u(x,y) = t, the extrema of f occur where:
- 1. u(x,y) = -1 (giving the value f = -1/e), OR
- 2. At critical points of u(x,y) where ∇u = 0
The Answer:
The function f(x,y) has relative minima at the points where x⁴ + y⁴ - 2(x - y)² - 2 = -1, including the symmetric points (±(1/2)^(1/4), ±(1/2)^(1/4)). At these points, f(x,y) = -1/e ≈ -0.368.Memory Tip:
When you see a function of the form h(u(x,y)) where h is simpler than the original multivariable function, try analyzing h first! The extrema often correspond beautifully between the single-variable and multivariable cases. It's like finding the "skeleton" of the problem! 🦴Great job tackling this sophisticated problem - the substitution technique is a powerful tool in your calculus toolkit!
⚠️ Common Mistakes to Avoid
- Incorrectly applying substitution methods
- Misunderstanding function transformations
- Overlooking boundary conditions
This explanation was generated by AI. While we work hard to be accurate, mistakes can happen! Always double-check important answers with your teacher or textbook.

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