/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 21 Use Lagrange multipliers to find... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Use Lagrange multipliers to find these values. $$f(x, y, z)=x+y+z \text { subject to } x^{2}+y^{2}+z^{2}-x y=5$$

Short Answer

Expert verified
Answer: The maximum value of f(x, y, z) is \(\frac{10}{\sqrt{2}}\), and the minimum value is \(-\frac{2}{\sqrt{2}}\).

Step by step solution

01

1. Formulate the Lagrangian function

First, we define the Lagrangian function L(x, y, z, λ) as follows: $$L(x, y, z, \lambda) = f(x, y, z) - \lambda (g(x, y, z) - 5)$$ where f(x, y, z) = x + y + z and g(x, y, z) = x^2 + y^2 + z^2 - xy. So, the Lagrangian function is: $$L(x, y, z, \lambda) = x + y + z - \lambda (x^2 + y^2 + z^2 - xy - 5)$$
02

2. Find partial derivatives

Next, we find the partial derivatives of the Lagrangian function L with respect to x, y, z, and λ: $$\frac{\partial L}{\partial x} = 1 - \lambda (2x - y)$$ $$\frac{\partial L}{\partial y} = 1 - \lambda (2y - x)$$ $$\frac{\partial L}{\partial z} = 1 - 2\lambda z$$ $$\frac{\partial L}{\partial \lambda} = x^2 + y^2 + z^2 - xy - 5$$
03

3. Solve the system of equations

Now we need to solve the following system of equations: $$1 - \lambda (2x - y) = 0$$ $$1 - \lambda (2y - x) = 0$$ $$1 - 2\lambda z = 0$$ $$x^2 + y^2 + z^2 - xy - 5 = 0$$ Solving the third equation for λ gives: $$\lambda = \frac{1}{2z}$$ Substitute this in the first two equations and re-arrange: $$x - \frac{y}{4z} = 0$$ $$y - \frac{x}{4z} = 0$$ Since x and y cannot be zero simultaneously, z can't be zero. Thus, we can safely eliminate z terms by multiplying the first equation by y and the second equation by x, and then add both equations: $$x^2 + y^2 = \frac{xy}{2}$$ Combine this equation with the constraint equation: $$x^2 + y^2 + z^2 - xy - 5 = 0$$ $$\frac{3xy}{2} + z^2 - 5 = 0$$ Now, substitute z from the λ equation: $$\frac{3xy}{2} + \frac{1}{4z^2} - 5 = 0$$ Solve this equation for x and y, and then use the constraint to solve for z. After solving, we get two points: $$(x, y, z) = \left(\frac{3}{\sqrt{2}},\frac{3}{\sqrt{2}},\frac{4}{\sqrt{2}}\right) \text{ and } \left(-\frac{3}{\sqrt{2}},-\frac{3}{\sqrt{2}},\frac{4}{\sqrt{2}}\right)$$
04

4. Find maxima and minima

Now, we substitute these points back into the function f(x, y, z) to find the maxima and minima: At \((x, y, z) = \left(\frac{3}{\sqrt{2}},\frac{3}{\sqrt{2}},\frac{4}{\sqrt{2}}\right)\) : $$f(x, y, z) = \frac{3}{\sqrt{2}}+\frac{3}{\sqrt{2}}+\frac{4}{\sqrt{2}}=\frac{10}{\sqrt{2}}$$ At \((x, y, z) = \left(-\frac{3}{\sqrt{2}},-\frac{3}{\sqrt{2}},\frac{4}{\sqrt{2}}\right)\) : $$f(x, y, z) = -\frac{3}{\sqrt{2}}-\frac{3}{\sqrt{2}}+\frac{4}{\sqrt{2}}=-\frac{2}{\sqrt{2}}$$ Thus, we find that the minimum value of f(x, y, z) is \(-\frac{2}{\sqrt{2}}\) and the maximum value is \(\frac{10}{\sqrt{2}}\).

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Lagrangian function
When dealing with optimization problems, especially those bound by constraints, we use the Lagrangian function. This method helps us to find the maximum or minimum values of a multivariable function while considering certain conditions or constraints. In this exercise, the function we aim to optimize is \( f(x, y, z) = x + y + z \).
The constraint given is \( x^2 + y^2 + z^2 - xy = 5 \). We construct the Lagrangian function by subtracting the constraint from the original function, multiplied by a Lagrange multiplier \( \lambda \). This gives us:
  • \( L(x, y, z, \lambda) = x + y + z - \lambda (x^2 + y^2 + z^2 - xy - 5) \)
The Lagrange multiplier \( \lambda \) is a crucial variable as it helps us balance the effects of the constraints against the main function's value.
By using this method, we essentially convert a constrained problem into an unconstrained one.
partial derivatives
Partial derivatives are a fundamental tool in calculus, used to study functions of several variables. They help us understand how a function changes with respect to each variable, keeping other variables constant.
In the context of Lagrange multipliers, we compute the partial derivatives of the Lagrangian function with respect to each variable \( x, y, z, \) and the Lagrange multiplier \( \lambda \). This is done to identify points where the gradient vector of the function aligns with the constraint.
The partial derivatives we find for this exercise are:
  • With respect to \( x \): \( \frac{\partial L}{\partial x} = 1 - \lambda (2x - y) \)
  • With respect to \( y \): \( \frac{\partial L}{\partial y} = 1 - \lambda (2y - x) \)
  • With respect to \( z \): \( \frac{\partial L}{\partial z} = 1 - 2\lambda z \)
  • With respect to \( \lambda \): \( \frac{\partial L}{\partial \lambda} = x^2 + y^2 + z^2 - xy - 5 \)
Finding these derivatives is a critical step to set up the system of equations needed to find the optimized solution.
system of equations
When using Lagrange multipliers, solving the optimization problem involves a system of equations derived from setting the partial derivatives to zero. These equations represent the conditions for local extrema where the gradient of the function is parallel to the gradient of the constraints.
For this problem, the system of equations is:
  • \( 1 - \lambda (2x - y) = 0 \)
  • \( 1 - \lambda (2y - x) = 0 \)
  • \( 1 - 2\lambda z = 0 \)
  • \( x^2 + y^2 + z^2 - xy - 5 = 0 \)
Solving these equations involves substitution and elimination methods. For instance, we first find \( \lambda \) in terms of \( z \) and then substitute it into the other equations to find relationships between \( x, y, \) and \( z \). By doing this, we are able to solve for the values of \( x, y, \) and \( z \) that optimize the original function under the given constraint.
maxima and minima
The objective of using Lagrange multipliers is frequently to find the maximum and minimum values of a function given a constraint. After solving the system of equations, we obtain critical points that need to be tested in the function \( f(x, y, z) \) to determine whether they correspond to maxima or minima.
For this exercise, we have two points to test:
  • \( \left(\frac{3}{\sqrt{2}},\frac{3}{\sqrt{2}},\frac{4}{\sqrt{2}}\right) \)
  • \( \left(-\frac{3}{\sqrt{2}},-\frac{3}{\sqrt{2}},\frac{4}{\sqrt{2}}\right) \)
By substituting these points into the function \( f(x, y, z) = x + y + z \), we calculate the values and determine that the maximum is \( \frac{10}{\sqrt{2}} \) and the minimum is \( -\frac{2}{\sqrt{2}} \).
This method ensures that we capture all possible extremal values of the function, providing a thorough optimization within the given constraint.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Challenge domains Find the domain of the following functions. Specify the domain mathematically, and then describe it in words or with a sketch. $$f(x, y)=\sin ^{-1}(x-y)^{2}$$

Suppose you make a one-time deposit of \(P\) dollars into a savings account that earns interest at an annual rate of \(p \%\) compounded continuously. The balance in the account after \(t\) years is \(B(P, r, t)=P e^{r^{n}},\) where \(r=p / 100\) (for example, if the annual interest rate is \(4 \%,\) then \(r=0.04\) ). Let the interest rate be fixed at \(r=0.04\) a. With a target balance of \(\$ 2000\), find the set of all points \((P, t)\) that satisfy \(B=2000 .\) This curve gives all deposits \(P\) and times \(t\) that result in a balance of \(\$ 2000\). b. Repeat part (a) with \(B=\$ 500, \$ 1000, \$ 1500,\) and \(\$ 2500,\) and draw the resulting level curves of the balance function. c. In general, on one level curve, if \(t\) increases, does \(P\) increase or decrease?

Use Lagrange multipliers in the following problems. When the constraint curve is unbounded, explain why you have found an absolute maximum or minimum value. Maximum volume cylinder in a sphere Find the dimensions of the right circular cylinder of maximum volume that can be inscribed in a sphere of radius 16

Looking ahead- tangent planes Consider the following surfaces \(f(x, y, z)=0,\) which may be regarded as a level surface of the function \(w=f(x, y, z) .\) A point \(P(a, b, c)\) on the surface is also given. a. Find the (three-dimensional) gradient of \(f\) and evaluate it at \(P\). b. The set of all vectors orthogonal to the gradient with their tails at \(P\) form a plane. Find an equation of that plane (soon to be called the tangent plane). $$f(x, y, z)=x^{2}+y^{2}+z^{2}-3=0 ; P(1,1,1)$$

Using gradient rules Use the gradient rules of Exercise 85 to find the gradient of the following functions. $$f(x, y, z)=(x+y+z) e^{x y z}$$

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.