Scenario involves taking a piece of glass initially at room temperature.
Initial temperature (u) at time (t) = 0: 20 degrees Celsius.
Outside temperature is freezing.
Assume the heat equation is expressed as (0) for freezing.
For mathematical representation:
u at (t=0) = 20°C
When substituting into equations:
Leads to assumptions about how u changes connected to distance (x) and temperature (t).
Equation manipulation isolates factors dependent on x and t:
The left-hand side depends solely on t, the right side only on x.
Results suggest it is a constant value.
Regular separation into sine and cosine functions occurs in boundary conditions.
General solution shows temporal decay of components in the series.
The orthogonality of sine functions is explored:
Defined through integration from 0 to 1.
Integral of sine squared evaluates to a constant when terms are equal.
Utilizes the mean value property of sine functions across the interval.
Evaluating temperature with constant boundaries:
If n equals m (same terms), the result leads to non-zero evaluations.
Findings show behavior of coefficients (C_m) relates to initial temperature and decay factors.
Establishing steady-state when conditions stabilize:
Steady state solution differentiates from the evolving temperature.
For example, maintaining boundary conditions inside (20°C) and outside (0°C).
Solution yields a linear transition of temperature across the medium over time.
The behavior changes rapidly as time increases:
High frequencies described become negligible quickly due to e^{-t} decay effects.
First term approximation provides relevant results with significant temperature drops per increment.
Evaluating terms in practical scenarios improves approximation:
At t equals 1/3, e^{-(3/20)} calculates to find closer average temperature readings.
The first term strength matters in extracting overall behavior.
In real-world examples (like a heated car in outside cold):
Initial temperature is far higher than the outside.
Heat exchange ultimately lowers internal temperature engaging with effectiveness of solutions discussed.
Solution simplicities rely on clear initial conditions and effective constant measures.