证明通过代换 ,微分方程 可以化简为 。由此求出 关于 的通解。
科学家们正在通过监测实验开始后 天时的细菌数量 来研究某种细菌的生长情况。
在其中一个模型中,可以假设在时刻 ,生长速率与当时的细菌数量成正比。在 时,细菌数量为 5000,且初始生长速率为每天 200 个。写出该模型的微分方程,并求解以预测实验开始 50 天后的细菌数量。
经过进一步考虑,科学家们决定使用一种 冈珀茨模型(Gompertz model)来模拟细菌种群的增长,该模型表示为:
其中 和 是正常数。
求该微分方程的通解,并结合题目背景给出 的实际意义。
它不会直接告诉你答案,而是问你卡在哪一步看看 AI 是怎么陪你一步步弄懂这道题的
完整解法
10(a)
1. Differentiate the substitution $y = ux^2$ with respect to $x$.
Using the product rule:
2. Substitute $y$ and $\frac{\text{d}y}{\text{d}x}$ into the original differential equation and simplify to show the required form.
Substitute into :
Dividing both sides by (assuming ):
3. Solve the reduced differential equation to find $u$.
Integrate both sides with respect to :
where is an arbitrary constant.
4. Substitute back to find the general solution for $y$ in terms of $x$.
Since , substitute the expression for :
10(b)
1. Formulate the differential equation using the proportional relationship and initial conditions.
Since the growth rate is proportional to the number of bacteria present, we can write:
At , and .
Thus, the differential equation is .
2. Solve the differential equation by separating the variables.
Since in this context, .
3. Apply the initial condition to find the particular solution.
Substitute and :
Therefore,
4. Evaluate the model at $t = 50$ to obtain the projection.
When :
The projected number of bacteria is (to the nearest whole number).
Differential equation:
Projection: bacteria
10(c)
1. Separate the variables to set up the differential equation for integration.
2. Integrate both sides using the standard logarithmic form.
Notice that the numerator is related to the derivative of the denominator:
3. Rearrange to make $N$ the subject to obtain the general solution.
Let , which is an arbitrary constant.
4. Interpret the constant $M$ in the context of the bacteria population.
As , since is a positive constant, .
Therefore, represents the limiting maximum population (or carrying capacity) of the bacteria as time approaches infinity.
(where is an arbitrary constant)
represents the limiting population (or maximum possible number) of the bacteria.
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