Partial derivatives and transformations of variables: A step-by-step guide.

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In summary, the given problem involves transforming a given equation with constants A, B, and C, into a new equation using the transformation u=x and v=\alphax+\betat. This can be achieved by taking partial derivatives and making substitutions. The resulting equation will involve y in terms of u and v, and can be simplified to the desired form.
  • #1
Lawrencel2
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Show that under the transformation

u=x, v=[itex]\alpha[/itex]x+[itex]\beta[/itex]t​
Ayxx+Byxt+Cytt=0 ; B^2-4AC>0
becomes

Ayuu+(2A[itex]\alpha[/itex]+B[itex]\beta[/itex])yuv+(A[itex]\alpha[/itex]2+B[itex]\alpha[/itex][itex]\beta[/itex]+C[itex]\beta[/itex]2)yvv=0

(A,B,C are constants)
I have no idea where to start. and i have to present this problem to the front of my class on monday. Can anyone give me a big head start or anything?
 
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  • #2
Lawrencel2 said:
I have no idea where to start.

gotta' start taking partials. That's where to start.

and i have to present this problem to the front of my class on monday.

Is it like a bunch of people in there?

Ok, just playing.

So if y=f(x,t) and x=u and v=ax+bt, then:

[tex]y_x=y_u u_x+y_v v_x[/tex]
[tex]y_x=y_u+a y_v[/tex]

but the second one is a litle tricky since you taking the partial of partials so:

[tex]y_{xx}=\frac{\partial}{\partial x} \left(y_u+a y_v\right)=y_{uu} u_x+y_{vu} v_x+a\left(y_{uv}u_x+y_{vv} v_x\right)[/tex]

Ok then, keep doing that for each partial in the first expression, make all those substitutions back into the first expression which wil turn it into an expression of y in terms of u and v, then simplify, cancel, whatever, and it should look like the second expression.
 

FAQ: Partial derivatives and transformations of variables: A step-by-step guide.

What are partial differentials?

Partial differentials are a mathematical concept that involves taking the derivative of a function with respect to one of its variables while holding all other variables constant. This is commonly used in multivariable calculus and is important in many fields of science, including physics and engineering.

How do partial differentials help in scientific research?

Partial differentials help scientists understand how a function changes in response to a change in one of its variables. This is crucial in modeling and predicting real-world phenomena and is used in fields such as economics, biology, and meteorology.

What is the difference between partial differentials and ordinary differentials?

The main difference between partial differentials and ordinary differentials is that partial differentials involve taking the derivative of a function with respect to one variable while holding all other variables constant, whereas ordinary differentials involve taking the derivative of a function with respect to one variable at a specific point.

How do I solve partial differential equations?

Solving partial differential equations often involves using advanced mathematical techniques, such as separation of variables or the method of characteristics. It is important to have a strong understanding of calculus and differential equations to solve these types of equations.

Can partial differentials be applied to real-world problems?

Yes, partial differentials are used to model and solve many real-world problems in various scientific fields. They can help scientists understand and predict the behavior of complex systems, such as the weather or the stock market.

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