Before we can talk about "state functions vs path functions," we need to earn every symbol the parent note throws at us. We will build them one at a time, each from the previous, so that when you reread the parent note nothing is unexplained.
Picture a sealed cylinder of gas. That gas is our system. The air, the table, the room — surroundings.
Think of the state as a single dot on a map. It doesn't remember how it got there.
Look at the figure: two dots, A (start) and B (end). A dot just says "you are here." Nothing about a dot tells you the road you drove. That single picture is the whole topic in disguise.
To pin down that dot, we need numbers. These four are the classic ones.
Why these four? Because for a simple gas, once you fix them, everything else about the state is locked in. They are the coordinates of the dot on our map. The parent note lists exactly these as "parameters like P, V, T, n" — now you know each one.
This is the heart of the whole chapter, so we slow down.
The mountain picture from the parent note is exactly this. Your elevation is a state function: two hikers who end at the same summit have the same elevation, no matter which trail they climbed.
Distance walked is a path function: the hiker who took the long winding trail walked more kilometres than the one who took the helicopter, even though both ended at the same summit.
In the figure, two roads (mint and coral) connect the same A and B. The elevation gained (vertical) is identical for both — that's a state function. The length of the road differs — that's a path function. Keep this picture; it defines the topic better than any equation.
The parent note writes things like ΔU and ∂T∂U. Let's earn both symbols.
Because Δ only looks at endpoints, Δ is the natural language of state functions. That is why we happily write ΔU but are more careful with heat and work.
Why do we need ∂ and not the ordinary d? Because U depends on bothT and V. If you moved T and V together you couldn't tell which caused the change. The partial derivative isolates one cause at a time. Picture walking due east on a hilly landscape (changing only longitude) to feel the slope in that direction alone.
We use tiny steps because real processes are smooth: we add up (integrate) millions of tiny steps to get a total change. The symbol d front of a variable is our promise: "this is one of those tiny steps."
The slash on đ is a warning flag: "this little bit doesn't add up to a property of the state — you must know the path." You'll meet the full machinery in 4.1.02-Exact-and-Inexact-Differentials.
Here is the punchline the parent note uses:
∮dU=0but∮δq=0
Look at the closed loop in the figure. If you return to your starting dot, your elevation change is exactly zero — you're back where you began. That's ∮dU=0. But the total distance walked around the loop is not zero — you did walk a whole circuit. That's ∮δq=0. One picture, both facts. This idea is developed fully in 2.5.10-Cyclic-Processes-and-State-Functions.