AI gave this - I guess using .02 still works well even though everyone is using .08?
Step 2: To maximize J - K
We want J as large as possible and K as small as possible for the same x.
That means:
• x should be just below the midpoint where rounding to the tenth jumps up.
• At that same x, K should round down as much as possible.
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Step 3: Examine the boundary near a tenth
Consider the transition point between J = 0.1 and J = 0.2.
That boundary is at x = 0.15.
Just below 0.15 (say 0.149499...),
• Rounding to the nearest tenth gives J = 0.1? No — 0.1495 rounds up to 0.1? Actually, wait:
• 0.15 rounds up to 0.2,
• anything less than 0.15 rounds down to 0.1.
So just below 0.15 → J = 0.1.
But we want J > K, so we want J = 0.2 while K still rounds down smaller.
For J = 0.2, x must be at least 0.15.
So take x = just at or above 0.15 → J = 0.2.
Now make K as small as possible — just before it rounds up to 0.150.
At x = 0.1495, K = 0.150; at x = 0.149499..., K = 0.149.
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Step 4: Compute the difference
Take x = 0.149499...
Then:
• J = 0.2
• K = 0.149
J - K = 0.2 - 0.149 = 0.051
But since the smallest possible K in that region is actually 0.1495 (rounds up), the greatest possible difference before K bumps up is slightly less than 0.051 — approximately 0.0505.