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Rosnet
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Can anyone suggest a method of solving this equation:
d(xy)/dx = a^xy (Where ^ means raised to the power)
Don't try a series solution.
d(xy)/dx = a^xy (Where ^ means raised to the power)
Don't try a series solution.
They just spring to mind. They also use the same ideas.asdf1 said:@@a
wow~
how'd you think of those two methods?
It is just the chain rule of single variable calculus.GCT said:[tex]\frac{d(a^{-xy})}{dx}=a^{xy}a^{-xy}\frac{d(-xy)}{d(xy)}\log(a)[/tex]
how'd you take a derivative of two variables, is this multivariable calculus?
We need not think of it that way since y=y(x)GCT said:hmm, I thought that differentiating/integrating two dummy variables might be an issue, although I have only taken integral calculus and intro differential equations, skipped multivariable. Anyways, thanks for the details.
The equation d(xy)/dx = a^xy is a differential equation that represents the rate of change of a product of two variables (x and y) with respect to a third variable, x. The term a^xy is known as the "rate factor" and determines the relationship between the two variables.
This equation can be solved using separation of variables. This involves isolating the terms with x and y on opposite sides of the equation, then integrating both sides with respect to x. This will result in a solution involving x and y on one side and a constant on the other side.
Yes, this equation can be solved analytically using the method of separation of variables. However, depending on the values of a, x, and y, the integration may result in a complex solution. In some cases, numerical methods may be used to approximate a solution.
The rate factor, a^xy, determines the relationship between the two variables, x and y. For example, if a^xy is a constant, the equation represents exponential growth or decay. If a^xy is a function of x and y, the equation represents a more complex relationship between the two variables.
This type of equation is commonly used in fields such as physics, biology, and finance to model various processes involving two changing variables. For example, it can be used to model population growth, chemical reactions, and interest rates. It is also used in engineering to predict the behavior of systems with multiple variables.