📚 Example 6.4.3: Finding the Maximum Volume of an Open Box | 示例6.4.3:求开口盒子的最大体积
In this example, we will explore a classic optimisation problem from pure mathematics. We are given a rectangular sheet of cardboard and we need to cut squares from each corner to form an open-top box. Our goal is to determine the size of the cut-out squares that maximises the volume of the box.
在这个示例中,我们将探讨纯数学中的一个经典最优化问题。假设我们有一张矩形纸板,需要从每个角剪去正方形,然后折叠成一个无盖盒子。我们的目标是确定剪去正方形的边长,使盒子的体积最大。
1. Understanding the Problem | 理解问题
We start with a rectangular piece of cardboard that is 15 cm long and 8 cm wide. From each of the four corners, we cut out a square of side length \(x\) cm (we will avoid LaTeX, so we write x cm). After cutting, we fold up the four flaps to form an open-top box. The variable x is unknown and must be chosen so that the resulting box has the largest possible volume.
我们首先有一张长为15厘米、宽为8厘米的矩形纸板。从四个角分别剪去边长为x厘米的小正方形(这里我们直接用x表示)。剪完后,将四边向上折叠,形成一个无盖盒子。变量x未知,需要选取合适的值,使得最终形成的盒子体积尽可能大。
Because the sheet is 8 cm wide, the value of x is constrained by the width: we need 2x < 8, so x < 4. Also x must be positive because we cannot cut a negative length. Thus the domain is \(0 < x < 4\).
由于纸板的宽为8厘米,x的值受到宽度限制:需要2x < 8,因此x < 4。同时,x必须为正数,因为我们不能剪出负的长度。因此定义域为 0 < x < 4。
2. Setting Up the Volume Function | 建立体积函数
After cutting out squares of side x from each corner, the base of the box has length \(15 – 2x\) and width \(8 – 2x\). The height of the box is exactly x. Therefore the volume V(x) is the product of these three dimensions:
从每个角剪去边长为x的小正方形后,盒子的底面长度为 15 − 2x,宽度为 8 − 2x。盒子的高恰好为x。因此,体积V(x)是这三个尺寸的乘积:
V(x) = x(15 − 2x)(8 − 2x)
We can expand this expression to obtain a polynomial. First multiply the two binomials:
我们可以展开这个表达式以得到一个多项式。首先将两个二项式相乘:
(15 − 2x)(8 − 2x) = 120 − 30x − 16x + 4x² = 120 − 46x + 4x²
Then multiply by x:
然后乘以x:
V(x) = x(120 − 46x + 4x²) = 120x − 46x² + 4x³
This cubic function describes the volume for any valid x in the interval (0, 4).
这个三次函数描述了在区间(0, 4)内任意有效x对应的体积。
3. Differentiation | 求导
To find the maximum volume, we need to locate the stationary points of V(x). A stationary point occurs where the first derivative is zero. Let us differentiate V(x) with respect to x.
为了找到最大体积,我们需要确定V(x)的驻点。驻点出现在一阶导数为零的地方。让我们对V(x)关于x求导。
V′(x) = d/dx (120x − 46x² + 4x³) = 120 − 92x + 12x²
We can also write the derivative in standard quadratic form:
我们也可以用标准二次形式写出导数:
V′(x) = 12x² − 92x + 120
Notice that V′(x) is defined for all x in the domain, so the only candidates for extrema are the roots of V′(x) = 0.
注意V′(x)在定义域内处处有定义,因此极值的唯一候选点就是方程V′(x) = 0的根。
4. Solving the Stationary Points | 求解驻点
We set the derivative equal to zero and solve the quadratic equation:
我们令导数等于零,并求解这个二次方程:
12x² − 92x + 120 = 0
To simplify, divide every term by 4:
为了方便,将所有项除以4:
3x² − 23x + 30 = 0
Now we factor or use the quadratic formula. The discriminant is:
现在我们因式分解或使用二次公式。判别式为:
Δ = (−23)² − 4 × 3 × 30 = 529 − 360 = 169
Since Δ = 169 = 13², the roots are:
由于Δ = 169 = 13²,根为:
x = (23 ± √169) / (2 × 3) = (23 ± 13) / 6
This gives two solutions:
这给出两个解:
x = (23 + 13)/6 = 36/6 = 6
x = (23 − 13)/6 = 10/6 = 5/3
So the stationary points occur at x = 6 and x = 5/3.
所以驻点出现在x = 6和x = 5/3处。
5. Validating the Domain | 验证定义域
We must check whether these solutions lie within our allowed interval 0 < x < 4. Clearly x = 6 is larger than 4, so it is not physically possible because the width of the cardboard would become negative: 8 − 2(6) = −4. We reject x = 6.
我们必须检查这些解是否落在允许的区间0 < x < 4内。显然x = 6大于4,在物理上不可能,因为纸板的宽度会变成负值:8 − 2×6 = −4。我们舍弃x = 6。
The other solution x = 5/3 ≈ 1.667 lies in (0, 4). Hence this is the only valid stationary point in the domain.
另一个解x = 5/3 ≈ 1.667落在区间(0, 4)内。因此这是定义域内唯一有效的驻点。
To confirm that x = 5/3 gives a maximum rather than a minimum, we use the second derivative test.
为了确认x = 5/3给出的是最大值而不是最小值,我们使用二阶导数检验。
6. Determining the Maximum | 判断极大值
We compute the second derivative of V(x):
我们计算V(x)的二阶导数:
V″(x) = d/dx (12x² − 92x + 120) = 24x − 92
Now evaluate V″ at x = 5/3:
现在在x = 5/3处计算V″:
V″(5/3) = 24 × (5/3) − 92 = 40 − 92 = −52
Because V″(5/3) < 0, the point x = 5/3 is a local maximum by the second derivative test. Since it is the only stationary point in the interval, it is also the global maximum on that interval.
因为V″(5/3) < 0,根据二阶导数检验,x = 5/3是局部极大值点。由于它是区间内唯一的驻点,因此也是该区间上的全局最大值。
7. Calculating the Maximum Volume | 计算最大体积
To find the corresponding maximum volume, we substitute x = 5/3 back into the volume function V(x) = 120x − 46x² + 4x³.
为了找到对应的最大体积,我们将x = 5/3代回体积函数V(x) = 120x − 46x² + 4x³。
V(5/3) = 120 × (5/3) − 46 × (5/3)² + 4 × (5/3)³
We compute each term:
我们逐项计算:
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120 × (5/3) = 200
120 × (5/3) = 200
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46 × (5/3)² = 46 × 25/9 = 1150/9
46 × (5/3)² = 46 × 25/9 = 1150/9
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4 × (5/3)³ = 4 × 125/27 = 500/27
4 × (5/3)³ = 4 × 125/27 = 500/27
To add these fractions, use a common denominator of 27:
为了将这些分数相加,使用公分母27:
V(5/3) = 200 − 1150/9 + 500/27 = 5400/27 − 3450/27 + 500/27 = 2450/27
Therefore the maximum volume is:
因此最大体积为:
V_max = 2450/27 ≈ 90.74 cm³
Thus the optimal square side length is x = 5/3 cm ≈ 1.67 cm, giving a box of volume approximately 90.74 cm³.
因此最优的小正方形边长为x = 5/3 厘米 ≈ 1.67厘米,此时盒子体积约为90.74立方厘米。
8. Checking the Endpoints | 检查端点
Because the function V(x) is continuous on the closed interval [0, 4], we can check the endpoints to ensure the stationary point truly gives the global maximum. At the endpoints, we expect the volume to be zero.
因为函数V(x)在闭区间[0, 4]上连续,我们可以检查端点以确保驻点确实给出全局最大值。在端点处,我们预期体积为零。
When x = 0, no corners are cut, so the box has no height and its volume is 0.
当x = 0时,没有剪去任何角,因此盒子没有高度,体积为0。
When x = 4, the width becomes 8 − 8 = 0, so again the volume is 0.
当x = 4时,宽度变为8 − 8 = 0,所以体积同样为0。
The following table summarises the volume at the key points:
下表总结了关键点处的体积:
| x | V(x) |
| 0 | 0 |
| 5/3 | 2450/27 ≈ 90.74 |
| 4 | 0 |
This confirms that the maximum occurs in the interior, not at the endpoints.
这证实了最大值出现在区间内部,而不是在端点处。
9. Graphical Interpretation | 图像解释
The cubic graph of V(x) from x = 0 to x = 4 rises from zero, reaches a maximum, and then decreases back to zero. The shape is a simple arch. The derivative V′(x) changes from positive before x = 5/3 to negative after x = 5/3, which is the signature of a local maximum.
V(x)的三次函数图像从x = 0到x = 4,从零上升,达到最大值,然后下降回零。图像呈现一个简单的拱形。导数V′(x)在x = 5/3之前为正,之后为负,这正是局部极大值的特征。
If we plotted V′(x), we would see that it is a positive quadratic that crosses the x-axis at x = 5/3 and x = 6. In the domain (0, 4), V′(x) is positive for x < 5/3 and negative for x > 5/3, confirming the maximum.
如果我们绘制V′(x)的图像,会看到一个开口向上的二次函数,它与x轴相交于x = 5/3和x = 6。在定义域(0, 4)内,当x < 5/3时V′(x)为正,当x > 5/3时V′(x)为负,这进一步确认了最大值。
10. Common Mistakes | 常见错误
Students often make several mistakes when solving such optimisation problems. Let us list them to help you avoid them.
学生在解决这类最优化问题时常常会犯几个错误。让我们列出这些易错点,帮助你避免。
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Forgetting the domain constraints. Always remember that x must satisfy both 2x < 15 and 2x < 8, so x < 4. Ignoring this can lead to accepting x = 6 as a valid answer.
忘记定义域限制。务必记住x必须满足2x < 15且2x < 8,因此x < 4。忽略这一点可能导致接受x = 6作为有效答案。
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Using the first derivative test incorrectly. A stationary point is not necessarily a maximum; you must verify using the second derivative or sign chart.
错误使用一阶导数检验。驻点不一定是最大值;你必须使用二阶导数或符号表进行验证。
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Making algebraic errors when expanding the volume expression. Carefully expand (15 − 2x)(8 − 2x) before multiplying by x.
展开体积表达式时出现代数错误。在乘以x之前,先仔细展开(15 − 2x)(8 − 2x)。
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Forgetting to include units in the final answer. The maximum volume should be given in cubic centimetres (cm³).
最终答案忘记写单位。最大体积应以立方厘米(cm³)为单位。
11. Key Takeaways | 要点总结
This example illustrates the complete procedure for solving a constrained optimisation problem:
这个示例说明了解决约束最优化问题的完整流程:
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Identify the quantity to be maximised and write it as a function of one variable.
确定要最大化的量,并将其写成单变量函数。
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State the domain of the variable based on the physical constraints.
根据物理约束给出变量的定义域。
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Differentiate the function to find the critical points.
对函数求导以找到临界点。
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Eliminate any critical points outside the domain and use the second derivative test to classify the remaining ones.
排除定义域之外的临界点,并使用二阶导数检验对剩余点进行分类。
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Evaluate the function at the critical point and at the endpoints to determine the global maximum.
在临界点和端点处评估函数值,以确定全局最大值。
By following these steps, you can solve a wide range of real-world problems that involve finding a maximum or minimum value.
遵循这些步骤,你可以解决许多涉及最大值或最小值的现实世界问题。
12. Practice Problem | 练习问题
To reinforce your understanding, try this similar problem:
为了巩固你的理解,尝试一个类似的问题:
A box is to be made from a square sheet of cardboard with side length 12 cm by cutting squares of side x cm from each corner and folding up the sides. Find the value of x that gives the maximum volume, and calculate the maximum volume.
一个盒子由边长为12厘米的正方形纸板制成,从每个角剪去边长为x厘米的小正方形并向上折叠。求使体积最大的x值,并计算最大体积。
Answer: The volume is V(x) = x(12 − 2x)² = 144x − 48x² + 4x³. The valid stationary point is x = 2 cm, and the maximum volume is 128 cm³.
答案:体积为V(x) = x(12 − 2x)² = 144x − 48x² + 4x³。有效驻点为x = 2厘米,最大体积为128立方厘米。
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