In this scene you pick bundles yourself under two different budgets.
A chosen bundle reveals what you like. A bundle you could afford but skipped counts as worse. If two situations flip each other's picks, that is a contradiction. The formula below, WARP, is the rule that catches it.
For example, you have π° 1,000 won and pick π apples, though π bananas cost no more. The next day you pick bananas, though apples cost no more. Your two picks now contradict each other.
The consumer chose x=(10,50) in situation 1 (p,w)=((1,1),60) and y=(30,30) in situation 2 (pβ²,wβ²)=((2,1),90). Check that both bundles are inside their budgets and decide whether WARP is violated.
pβ y=60β€60=pβ xβxβΏβy
pβ²β x=70β€90=pβ²β yβyβΏβx
Verdict
The claim is false β this choice pair violates WARP, so no preference relation rationalizes it.
x=(10,50), y=(30,30) β revealed preference both ways, WARP violated.Show proof
Counterexample and verification
Budget check: pβ x=10+50=60β€60 and pβ²β y=60+30=90β€90 β both sit on their budget lines, so no clamping occurs.
In situation 1, y costs pβ y=30+30=60β€60=pβ x. Since y was affordable but x was chosen, x is revealed preferred to y: xβΏβy.
In situation 2, x costs pβ²β x=20+50=70β€90=pβ²β y. Since x was affordable but y was chosen, yβΏβx. Revealed preference runs both ways between two distinct bundles, so WARP is violated β no preference relation can rationalize this pair of choices.
The consumer chose x=(30,30) in situation 1 and y=(10,70) in situation 2. Show in which single direction revealed preference holds, and verify that WARP holds.
pβ y=80>60=pβ x
pβ²β x=90β€90=pβ²β yβyβΏβx
x=(30,30), y=(10,70) β revealed preference one way only, WARP holds.Show proof
Budget check: pβ x=60β€60 and pβ²β y=20+70=90β€90 β no clamping.
In situation 1, y costs pβ y=10+70=80>60=pβ x. Since y was not affordable at all, there is no revealed preference for x.
In situation 2, x costs pβ²β x=60+30=90β€90=pβ²β y, so yβΏβx. Revealed preference holds in only one direction, so WARP holds β this data does not contradict utility maximization.