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Population genetics is a fascinating area that explores how genetic traits are inherited in populations over time. Differential equations, such as the one provided in the exercise, are essential tools in this field. They help model the change in genetic trait frequencies within a population.

Such equations often incorporate factors like natural selection, genetic drift, and mutation rates to predict future changes. The differential equation provided plays a crucial role in understanding how these variables interact and influence genetic variation in populations. By transforming the equation using substitutions, we can gain a clearer understanding of genetic dynamics. This transformation allows for more straightforward solutions using techniques like separation of variables.

The method known as 'separation of variables' is a common technique for solving differential equations, including those in population genetics. This process involves rearranging the equation so that each variable and its derivatives are on opposite sides of the equation.

In our exercise, by transforming the variables and separating them, we can simplify the differential equation from its initial complicated form into a solvable one.

• Begin by isolating the derivative term on one side: \( \frac{dy}{dx} = 2 \frac{a(x)}{b(x)} y \)
• Rearrange it to get terms involving \( y \) on one side and terms involving \( x \) on the other: \( \int \frac{1}{y} \, dy = \int 2 \frac{a(x)}{b(x)} \, dx \)

This clever manipulation opens the door to straightforward integration, leading to the final solution.

Integration is a fundamental piece of calculus and is central to solving differential equations like the one in the exercise. When we perform the integration step after separating variables, we're essentially finding the antiderivative or the sum of the function over an interval.

For our separated equation:

• On the left, we integrate \( \int \frac{1}{y} \, dy \) which results in \( \ln |y| \)
• On the right, we integrate \( \int 2 \frac{a(x)}{b(x)} \, dx \) which remains as an indefinite integral \( 2 \int \frac{a(x)}{b(x)} \, dx \)

By solving these integrals, we move towards expressing \( y \) explicitly, helpful in interpreting genetic models. The final step involves exponentiating to solve for \( y \), revealing the population dynamics modeled by the equation.

The product rule is a crucial differentiation technique used in calculus, particularly when dealing with products of two functions. In the context of the original equation, it is used to differentiate \( b(x) g(x) \), rewriting it in terms of \( y \).

The product rule states that if you have two functions \( u(x) \) and \( v(x) \), then their derivative is \( u'(x)v(x) + u(x)v'(x) \). Applying this:

• For \( y = b(x) g(x) \), the derivative is \( b'(x) g(x) + b(x) g'(x) \)

This step is essential for correctly substituting back into the differential equation and further simplifying it.

This rule is essential when differentiating a ratio of two functions and was used to find \( g'(x) \) in the given solution. The quotient rule states that for functions \( u(x) \) and \( v(x) \), \( \left(\frac{u}{v}\right)' = \frac{u'v - uv'}{v^2} \).

In the context of this problem, after defining \( y = b(x) g(x) \), we need to express \( g(x) \) and differentiate it. By substitution and applying the quotient rule:

• \( g(x) = \frac{y}{b(x)} \)
• Its derivative is \( g'(x) = \frac{1}{b(x)}\frac{dy}{dx} - \frac{yb'(x)}{b^2(x)} \)

Understanding this differentiation step is key to transforming the original equation into a more solvable form, ultimately leading to understanding genetic change over time.