I'm having trouble with the following question about maxima and minima. I have to find the points of local extrema of the function, $$f(x,y)= 12x^2y+3y^3-48x^2 - \frac{81}{2}y^2+72y-4.$$ So, I begin with $$f'(x)=24xy - 96x $$ $$f'(y)=12x^2 + 9y -81y +72$$ then $$24xy - 96x = 0$$ $$12x^2 + 9y -81y +72 = 0$$ solving this system yields solutions, $$(0,1),(0,8),(3,4),(-3,4)$$
2026-04-07 23:13:45.1775603625
Maxima and Minima problems
149 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail At
1
There are 1 best solutions below
Related Questions in MAXIMA-MINIMA
- optimization with strict inequality of variables
- Minimum value of a complex expression involving cube root of a unity
- Calculation of distance of a point from a curve
- Find all local maxima and minima of $x^2+y^2$ subject to the constraint $x^2+2y=6$. Does $x^2+y^2$ have a global max/min on the same constraint?
- Solving discrete recursion equations with min in the equation
- Trouble finding local extrema of a two variable function
- Why do I need boundedness for a a closed subset of $\mathbb{R}$ to have a maximum?
- Find the extreme points of the function $g(x):=(x^4-2x^2+2)^{1/2}, x∈[-0.5,2]$
- Maximizing triangle area problem
- Find the maximum volume of a cylinder
Trending Questions
- Induction on the number of equations
- How to convince a math teacher of this simple and obvious fact?
- Find $E[XY|Y+Z=1 ]$
- Refuting the Anti-Cantor Cranks
- What are imaginary numbers?
- Determine the adjoint of $\tilde Q(x)$ for $\tilde Q(x)u:=(Qu)(x)$ where $Q:U→L^2(Ω,ℝ^d$ is a Hilbert-Schmidt operator and $U$ is a Hilbert space
- Why does this innovative method of subtraction from a third grader always work?
- How do we know that the number $1$ is not equal to the number $-1$?
- What are the Implications of having VΩ as a model for a theory?
- Defining a Galois Field based on primitive element versus polynomial?
- Can't find the relationship between two columns of numbers. Please Help
- Is computer science a branch of mathematics?
- Is there a bijection of $\mathbb{R}^n$ with itself such that the forward map is connected but the inverse is not?
- Identification of a quadrilateral as a trapezoid, rectangle, or square
- Generator of inertia group in function field extension
Popular # Hahtags
second-order-logic
numerical-methods
puzzle
logic
probability
number-theory
winding-number
real-analysis
integration
calculus
complex-analysis
sequences-and-series
proof-writing
set-theory
functions
homotopy-theory
elementary-number-theory
ordinary-differential-equations
circles
derivatives
game-theory
definite-integrals
elementary-set-theory
limits
multivariable-calculus
geometry
algebraic-number-theory
proof-verification
partial-derivative
algebra-precalculus
Popular Questions
- What is the integral of 1/x?
- How many squares actually ARE in this picture? Is this a trick question with no right answer?
- Is a matrix multiplied with its transpose something special?
- What is the difference between independent and mutually exclusive events?
- Visually stunning math concepts which are easy to explain
- taylor series of $\ln(1+x)$?
- How to tell if a set of vectors spans a space?
- Calculus question taking derivative to find horizontal tangent line
- How to determine if a function is one-to-one?
- Determine if vectors are linearly independent
- What does it mean to have a determinant equal to zero?
- Is this Batman equation for real?
- How to find perpendicular vector to another vector?
- How to find mean and median from histogram
- How many sides does a circle have?
Have you correctly applied the quotient rule in $f_y?$ It doesn't look correct, but the lack of formating make it difficult to follow your work.
Find the set of $(x,y)$ such that $f_x = 0$ and $f_y = 0$ Looks like you are well on your way on that front.
At each ordered pair identified, find $f_{xx}, f_{yy}, f_{xy}.$
find the signs of the eigenvalues of $\begin {bmatrix} f_{xx} & \frac 12 f_{xy}\\\frac 12 f_{xy} &f_{yy} \end{bmatrix}$
If the determinant of that matrix $< 0$ you have one positive and one negative eigenvalue. In which case you have found a saddle point.
If it is positive, then they have the same sign (and the same sign as $f_{xx}, f_{yy}$) and you have a max or a min. (i.e. both negative, you have a max. Both positive, you have a min).