Problem 19
Question
Find all points \((x, y)\) at which the tangent plane to the graph of \(z=x^{2}-6 x+2 y^{2}-10 y+2 x y\) is horizontal.
Step-by-Step Solution
Verified Answer
The point is (1, 2).
1Step 1: Understand the problem
We are asked to find points \(x, y\) on the surface \(z = x^2 - 6x + 2y^2 - 10y + 2xy\) where the tangent plane is horizontal. A plane is horizontal when its normal vector is vertical, implying the gradient of the function is zero.
2Step 2: Calculate the partial derivatives
To find where the gradient is zero, calculate the partial derivatives of \(z = x^2 - 6x + 2y^2 - 10y + 2xy\). The partial derivatives are: \(\frac{\partial z}{\partial x} = 2x + 2y - 6\) and \(\frac{\partial z}{\partial y} = 4y + 2x - 10\).
3Step 3: Set the gradients to zero
Set the gradients to zero for horizontal tangents: 1. \(2x + 2y - 6 = 0\) 2. \(4y + 2x - 10 = 0\). Solve these equations simultaneously for \(x\) and \(y\).
4Step 4: Solve simultaneous equations
From equations \(2x + 2y - 6 = 0\) and \(4y + 2x - 10 = 0\), solve for \(x\) and \(y\). Subtract the first equation from the second: \( (4y + 2x - 10) - (2x + 2y - 6) = 0\) simplifies to \(2y - 4 = 0\), leading to \(y = 2\). Substitute \(y = 2\) into \(2x + 2y - 6 = 0\) to find \(x: 2x + 4 - 6 = 0\), thus \(x = 1\).
5Step 5: Verify the solution
Verify \(x = 1, y = 2\) satisfies both equations: 1. \(2(1) + 2(2) - 6 = 0\) (True)2. \(4(2) + 2(1) - 10 = 0\) (True).Both equations being satisfied confirms the solution is correct.
Key Concepts
Partial DerivativesGradientSimultaneous EquationsSurface Equation
Partial Derivatives
Partial derivatives are a fundamental concept in calculus, especially when dealing with functions of multiple variables. They represent the rate of change of a function concerning one variable while keeping other variables constant.
For a surface given by a function like \( z = f(x, y) \), the partial derivative \( \frac{\partial f}{\partial x} \) tells us how \( z \) changes as \( x \) changes, with \( y \) remaining unchanged. Similarly, \( \frac{\partial f}{\partial y} \) describes the change in \( z \) with respect to changes in \( y \).
For a surface given by a function like \( z = f(x, y) \), the partial derivative \( \frac{\partial f}{\partial x} \) tells us how \( z \) changes as \( x \) changes, with \( y \) remaining unchanged. Similarly, \( \frac{\partial f}{\partial y} \) describes the change in \( z \) with respect to changes in \( y \).
- To find a partial derivative, treat other variables as constants and differentiate with respect to the chosen variable.
- This helps determine slopes in the direction of each axis, crucial for understanding surface behavior.
Gradient
The gradient is a vector that points in the direction of the greatest rate of increase of a function. It is denoted by \( abla f \) and comprises the partial derivatives of a function. For the function \( f(x, y) = z \), the gradient is \( abla f = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y} \right) \).
- The gradient tells us the slope of the tangent plane. When the gradient equals zero, the tangent plane is horizontal because there is no slope in any direction.
- A zero gradient means that at that point, the plane is perfectly flat, aligning with the concept of horizontal tangent planes.
Simultaneous Equations
Simultaneous equations are sets of equations with multiple variables that are solved together, meaning the solutions must satisfy all equations in the set.
Solving these equations is vital when dealing with problems involving multiple variables. When we calculate partial derivatives and set them to zero to find horizontal tangent planes, we end up with simultaneous equations.
Solving these equations is vital when dealing with problems involving multiple variables. When we calculate partial derivatives and set them to zero to find horizontal tangent planes, we end up with simultaneous equations.
- Each equation represents a condition for one of the variables.
- Methods to solve them include substitution, elimination, or matrix approaches.
Surface Equation
A surface equation describes a three-dimensional surface in a mathematical way. For example, the equation \( z = f(x, y) \) gives a surface where \( z \) is determined based on \( x \) and \( y \).
This problem's surface equation, \( z = x^2 - 6x + 2y^2 - 10y + 2xy \), provides a polynomial representation of a surface in three-dimensional space.
This problem's surface equation, \( z = x^2 - 6x + 2y^2 - 10y + 2xy \), provides a polynomial representation of a surface in three-dimensional space.
- It's essential for visualizing how changes in \( x \) and \( y \) affect \( z \), hence computing the nature of the tangent plane.
- The surface's shape and orientation guide us to where horizontal tangent planes can occur.
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