Can f(x, t) be expressed as a function of x + ct?

In summary, using the chain rule and the given hint, it can be shown that f(x, t) = h(x + ct) for some function h.
  • #1
The1TL
26
0

Homework Statement


Suppose f: R^2 --> R is differentiable and (df/dt) = c(df/dx) for some nonzero constant c.
Prove that f(x, t) = h(x + ct) for some function h.


Homework Equations



hint: use (u, v) = (x, x+ct)

The Attempt at a Solution



df/dt = limk-->0 (f(x, x+ct+k) - f(x, x+ct))/k
multiplying this by c gives:
limk-->0 (f(x, x+ct+ck) - f(x, x+ct))/k

I'm not sure where to go from here
 
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  • #2
Are you required to use the basic definition of the derivative? You were given a hint which works nicely with the chain rule but you have ignored it. If u= x, v= x+ ct, then [itex]\partial f/\partial x= (\partial f/\partial u)(\partial u/\partial x)+ (\partial f/\partial v)(\partial v/\partial x)[/itex][itex]= \partial f/\partial u+ \partial f/\partial v[/itex]. Similarly, [itex]\partial f/\partial t= (\partial f/\partial u)(\partial u/\partial t)+ (\partial f/\partial v)(\partial v/\partial t)[/itex][itex]= c\partial f/\partial v[/itex].

Now, the original differential equation, in terms of u and v, becomes
[itex]c\partial f/\partial v= c(\partial f/\partial u+ \partial f/\partial v)[/itex].

We can now subtract [itex]c\partial f/\partial v[/itex] from both sides leaving [itex]c\partial f/\partial u= 0[/itex] which says that f does not depend upon u at all, it is simply a function of v.
 
  • #3
Hi The1TL! :smile:

Can you calculate ##\frac d {du}f(x(u,v), t(u,v))## with partial derivatives?
 

What is a partial derivative?

A partial derivative is a mathematical concept used to measure the rate of change of a function with respect to one of its variables, while holding all other variables constant. It is denoted by ∂ and is commonly used in multivariate calculus and physics.

Why is the partial derivative important?

The partial derivative is important because it allows us to analyze how a function changes in response to a change in one of its variables, while keeping all other variables constant. This is useful in many fields, including physics, economics, and engineering, to name a few.

How do you find the partial derivative of a function?

To find the partial derivative of a function, you need to differentiate the function with respect to the variable you are interested in, treating all other variables as constants. This is similar to finding the derivative of a single variable function, but with each variable being treated separately.

What is the difference between a partial derivative and a total derivative?

The partial derivative measures the rate of change of a function with respect to one variable, while holding all other variables constant. On the other hand, the total derivative measures the overall rate of change of a function with respect to all of its variables. In other words, the total derivative takes into account the changes in all variables, while the partial derivative only considers one variable at a time.

What are some real-world applications of partial derivatives?

Partial derivatives are used in many real-world applications, including optimization problems in economics, heat transfer in engineering, and analyzing changes in physical quantities in physics. They are also used in machine learning and data analysis to optimize models and understand relationships between variables.

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