Problem 9
Question
In Exercises \(9-50\) , identify the coordinates of any local and absolute extreme points and inflection points. Graph the function. \begin{equation} y=x^{2}-4 x+3 \end{equation}
Step-by-Step Solution
Verified Answer
The local and absolute minimum is at (2, -1); there are no inflection points.
1Step 1: Find the First Derivative
To find the extreme points, we first need the first derivative of the function. The function is given as \( y = x^2 - 4x + 3 \). Compute the derivative: \( y' = \frac{d}{dx}(x^2 - 4x + 3) = 2x - 4 \).
2Step 2: Set First Derivative to Zero
To find the critical points where the extreme values might occur, set the first derivative to zero: \( 2x - 4 = 0 \). Solve for \( x \) by adding 4 to both sides, \( 2x = 4 \), and then dividing by 2, giving \( x = 2 \). This is a critical point.
3Step 3: Determine the Nature of Critical Point
To determine whether this critical point is a maximum, minimum, or neither, evaluate the second derivative. The second derivative of \( y = x^2 - 4x + 3 \) is \( y'' = 2 \), which is positive. Therefore, \( x = 2 \) is a local minima.
4Step 4: Calculate the y-coordinate of Minima
Substitute \( x = 2 \) back into the original function to find the minima's y-coordinate: \( y = 2^2 - 4 \times 2 + 3 = 4 - 8 + 3 = -1 \). Thus, the local minimum is at \((2, -1)\).
5Step 5: Find Intensity Points
For a quadratic function \( ax^2 + bx + c \), there are no inflection points because the second derivative is a constant \( y'' = 2 \) and doesn't change sign.
6Step 6: Identify Absolute Extreme Points
For a quadratic function which opens upward (since \( a > 0 \)), the local minimum is also the absolute minimum, and there are no absolute maxima. Hence, the absolute minimum is at \((2, -1)\).
7Step 7: Graph the Function
Sketch the graph of \( y = x^2 - 4x + 3 \). It's a parabola opening upwards with the vertex at \((2, -1)\). The axis of symmetry is the vertical line \( x = 2 \), and the y-intercept is \(3\) when \( x = 0 \).
Key Concepts
First DerivativeSecond DerivativeQuadratic FunctionsCritical PointsLocal Minimum
First Derivative
In mathematics, the first derivative of a function gives us a lot of valuable information about the function's behavior. It can help us identify extbf{critical points}, where the function's slope is zero, which are potential places for extit{extreme points} like local maxima or minima.
For the given quadratic function, \( y = x^2 - 4x + 3 \), we found the first derivative by using basic differentiation rules. The computation is:
Setting \( y' = 0 \) allows us to solve for the \( x \)-value of the critical point.
Thus, \( 2x - 4 = 0 \) simplifies to \( x = 2 \). This tells us where the function's graph could potentially change direction or flatten out.
For the given quadratic function, \( y = x^2 - 4x + 3 \), we found the first derivative by using basic differentiation rules. The computation is:
- Differentiate \( x^2 \) to get \( 2x \)
- Differentiate \( -4x \) to get \(-4\)
- Differentiate the constant \( 3 \) which becomes zero.
Setting \( y' = 0 \) allows us to solve for the \( x \)-value of the critical point.
Thus, \( 2x - 4 = 0 \) simplifies to \( x = 2 \). This tells us where the function's graph could potentially change direction or flatten out.
Second Derivative
The second derivative of a function provides information about the function’s concavity, which informs us further about the nature of critical points. For a quadratic function like \( y = x^2 - 4x + 3 \), the process is straightforward.
The first derivative we calculated was \( y' = 2x - 4 \). The second derivative is the derivative of the first derivative.
In this case:
This constant positive value indicates that the original function is concave up everywhere.This confirms that any critical point found is a local minimum, because the function is always bending upwards.
The first derivative we calculated was \( y' = 2x - 4 \). The second derivative is the derivative of the first derivative.
In this case:
- Differentiating \( 2x \) gives \( 2 \)
- Differentiating \( -4 \) gives \( 0 \)
This constant positive value indicates that the original function is concave up everywhere.This confirms that any critical point found is a local minimum, because the function is always bending upwards.
Quadratic Functions
Quadratic functions are polynomial functions of degree 2, often written in the form \( ax^2 + bx + c \). The graph of a quadratic function is a parabola.
Here, the given function \( y = x^2 - 4x + 3 \) is quadratic where \( a = 1 \), \( b = -4 \), and \( c = 3 \). The parabola opens upwards because the coefficient \( a \) is positive.
Key features of a quadratic function include:
Here, the given function \( y = x^2 - 4x + 3 \) is quadratic where \( a = 1 \), \( b = -4 \), and \( c = 3 \). The parabola opens upwards because the coefficient \( a \) is positive.
Key features of a quadratic function include:
- The vertex, which is the highest or lowest point depending on the orientation of the parabola.
- The axis of symmetry, a vertical line passing through the vertex: \( x = 2 \) in our function.
- The direction of opening, which tells us if the parabola opens upwards (\( a > 0 \)) or downwards (\( a < 0 \)).
Critical Points
Critical points are key in calculus as they are locations where a function's slope is zero or undefined. These points can uncover local maxima, local minima, or saddle points.
In our example with \( y = x^2 - 4x + 3 \), we found a critical point by using the first derivative.To identify:
This initial operation sets the stage for deeper analysis using the second derivative.
In our example with \( y = x^2 - 4x + 3 \), we found a critical point by using the first derivative.To identify:
- Set the first derivative \( y' = 2x - 4 \) to zero: \( 2x - 4 = 0 \).
- Solve for \( x \), resulting in \( x = 2 \).
This initial operation sets the stage for deeper analysis using the second derivative.
Local Minimum
A local minimum is a point where a function's value is lower than all nearby values. It represents a valley in the graph.
To determine if a critical point is a local minimum, we typically use the second derivative.
For our function, we calculated the second derivative as \( y'' = 2 \).
Since this is positive, it indicates that the function is concave up around that point.Therefore:
To determine if a critical point is a local minimum, we typically use the second derivative.
For our function, we calculated the second derivative as \( y'' = 2 \).
Since this is positive, it indicates that the function is concave up around that point.Therefore:
- The critical point \((2, -1)\) is confirmed as a local minimum.
Other exercises in this chapter
Problem 9
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