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📘 multivariable calculus

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Critical Points
1. **State the problem:** We are given the function $f(x,y) = x^3 + y^3 - 3xy$ and want to analyze it. 2. **Formula and rules:** This is a multivariable polynomial function. To fin
Directional Derivative
1. **Problem Statement:** Find the directional derivative of the function $$f(x,y,z) = x^2y + yz^3 - e^{xz}$$ at the point $$P(1,-1,2)$$ in the direction of the vector $$\mathbf{v}
Directional Derivative
1. The problem: Find the directional derivative of the function $f(x,y) = x^2y + 3y^2$ at the point $(1,2)$ in the direction of the vector $\mathbf{v} = (3,4)$. 2. Formula: The dir
Level Curves
1. The problem asks to sketch the level curves of the function $f(x,y)$ for given values of $k$. A level curve is the set of points $(x,y)$ where $f(x,y) = k$. 2. For each part, we
Normal Tangent Plane
1. **State the problem:** Find the normal vector and the equation of the tangent plane to the surface defined by the plane $z = x + 3$ inside the cylinder $x^2 + y^2 = 1$ at the po
Normal Vector Tangent Plane
1. We are asked to compute the normal vector and the tangent plane at a given point $P$ on a surface. 2. The normal vector to a surface defined by a function $f(x,y,z) = 0$ at a po
Plane Cylinder
1. **State the problem:** Find the part of the plane $z = x + 3$ that lies inside the cylinder defined by $x^2 + y^2 = 1$, and verify the point $P = (1, 0, 4)$ lies on this surface
Tangent Plane
1. **State the problem:** Find the gradient and the equation of the tangent plane to the surface given by $$z = 3x^2 - xy$$ at the point $$(1,2,1)$$. 2. **Recall the formula for th
Jacobian Determinants
1. **Problem statement:** We need to find the Jacobian determinants for two cases:
Critical Points Classification
1. **State the problem:** We have the function $$f(x,y,z) = x^2 y + y^2 z + z^2 x$$. We need to find all critical points, classify them using the Hessian matrix, and compute the di
Max Min Saddle
1. **Problem 1:** Examine the function $$z = 8x^3 + 2y - 3x^2 + y^2 + 1$$ for maximum, minimum, or saddle points. 2. **Step 1: Find the first partial derivatives.**
Partial Derivatives
1. **State the problem:** We are given the function $$f(x,y,z) = x^2 y - 10 y^2 z^3 + 43 x - 7 \tan(5 y)$$ and need to find the partial derivatives $$\frac{\partial f}{\partial x}$
Find Function
1. **State the problem:** We are given the differential form $$df = \frac{1}{x^2yz} \, dx + \frac{1}{xy^2z} \, dy + \frac{1}{xyz^2} \, dz$$ and we want to find the function $f(x,y,
Partial Derivatives
1. **State the problem:** We are given the function $$f(x,y,z) = x^2 y - 10 y^2 z^3 + 43 x - 7 \tan(5 y)$$ and need to find the partial derivatives $$\frac{\partial f}{\partial x}$
Partial Derivatives
1. **State the problem:** We are given the function $$f(x,y,z) = x^2 y - 10 y^2 z^3 + 43 x - 7 \tan(5 y)$$ and need to find the partial derivatives $$\frac{\partial f}{\partial x}$
Vector Limit Continuity
1. **Sketch the vector-valued function** $\mathbf{r}(t) = \langle 1 + 2t, -1 + 3t \rangle$. - This is a vector function in 2D where the $x$-component is $1 + 2t$ and the $y$-compon
Partial Derivatives Laplace Chain
1. **Problem 1:** Given the function $$f(x,y,z) = x^2 y - 10 y^2 z^3 + 43 x - 7 \tan(5 y),$$ find the partial derivatives $$\frac{\partial f}{\partial x}, \frac{\partial f}{\partia
Unit Normal Vector
1. **Problem (i):** Find a unit normal vector to the surface defined by $f(x,y) = x^3$ at the point $(2,-1,8)$. 2. Compute the partial derivatives:
Linear Approximation
1. **State the problem:** We are given the values of the partial derivatives of a function $f$ at the point $P(4,2,5)$ and the function value at that point. We want to write the li
Linear Approximation
1. **Problem statement:** Find the linear approximation (linearization) of the functions at the given points. ---
Differentiability Check
1. **State the problem:** We want to show that the function $f(x,y) = x \cdot e^{xy}$ is differentiable at the point $(2,0)$. 2. **Evaluate the function at the point:**