Calculus/Parametric Differentiation

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Taking Derivatives of Parametric Systems

Just as we are able to differentiate functions of x, we are able to differentiate x and y, which are functions of t. Consider:

x=sint

y=t

We would find the derivative of x with respect to t, and the derivative of y with respect to t:

x=cost

y=1

In general, we say that if

x=f(t) and y=g(t) then:

x=f(t) and y=g(t)

It's that simple.

This process works for any amount of variables.


Slope of Parametric Equations

In the above process, x' has told us only the rate at which x is change, not the rate for y, and vice versa. Neither is the slope.

In order to find the slope, we need something of the form dydx.

We can discover a way to do this by simple algebraic manipulation:

yx=dydtdxdt=dydx

So, for the example in section 1, the slope at any time t:

1cost=sect

In order to find a vertical tangent line, set the horizontal change, or x', equal to 0 and solve.

In order to find a horizontal tangent line, set the vertical change, or y', equal to 0 and solve.

If there is a time when both x' and y' are 0, that point is called a singular point.

Concavity of Parametric Equations

Solving for the second derivative of a parametric equation can be more complex that it may seem at first glance. When you have take the derivative of dydx in terms of t, you are left with d2ydxdt:

ddt[dydx]=d2ydxdt.

By multiplying this expression by dtdx, we are able to solve for the second derivative of the parametric equation:

d2ydxdt*dtdx=d2ydx2.

Thus, the concavity of a parametric equation can be described as:

ddt[dydx]*dtdx

So for the example in sections 1 and 2, the concavity at any time t:

ddt[csct]*cost=csc2t*cost