The point is that unless you have some exogenous reason to expect future favorable price movement (and assuming zero time-value-of-money and zero opportunity cost) you should be closing off all your hedges.
As I've said, if your goal is to maximize expected bankroll growth then in the case of a market presenting a riskless multiway arb your optimal strategy (again assuming zero time-value-of-money and zero opportunity cost) is to bet a proportion of your bankroll on each outcome equal to the probability of that outcome occurring. Perhaps counter-intuitively the edges on the individual bets are irrelevant. (If there are 5 people out there who express interest I'll write up a mathematical proof.)
The $200K bet serves in part as a hedge for the positive expectation bet placed on bet 2.
The reason why the bettor shouldn't just "hypothesize that as $1000 is [his] max bet on outcome ... that [his] bankroll is equal to $1000/0.222222 = $4500" is because it has no economic or mathematical rationale. One can't just hypothesize bankroll size as part of an effective betting strategy.
That's exactly what Kelly does.
Very good question. (We refer to this either as the bankroll either growing (shrinking, really) to zero, or growing at a rate of -100%. This can get a little confusing as sometimes people might refer to this as a growth rate of 0, which is ambiguous at best.)
Let's say you have a bet at even odds that occurs with probability 75%. If a bettor were to wager his entire bankroll on the outcome he'd have a 75% chance of doubling his bankroll and a 25% chance of bankrupting himself.
Assuming he were to continue to wager his entire bankroll on the same bet until he were to go bankrupt or until he were to have placed and won 3 bets, then prior tto his first wager he'd have a 42.1875% prob of ending up with 8x his money and a 57.8125% prob of bankrupting himself.
10 bets? 1,024x his initial with probability 5.6314%, bankruptcy with probability 94.3686%.
20 bets? 1,048,576x his initial bankroll with prob 0.3171%, bankruptcy with prob 99.6829%.
100 bets? 1,267,650,600,228,230,000,000,000,000,00 0x his initial bankroll with prob 0.0000000000321%, bankruptcy with prob 99.9999999999679%.
You get the idea ...
The point is that as the number of bets placed increases, the probability of bankruptcy approaches certainty. So even though the expected value of any number of these bets is positive, the expected bankroll growth from making them is zero. (The idea is that were you to repeat the bet a large number of times, and then repeat that experiment a large number of times, while the most common outcome would be bankruptcy, the extremely infrequent times the player didn't go bankrupt would greatly skew the average. Because we all only live one life, the fact that an alternate you in some parallel universe is richer than Bill Gates while you're eating dried cat food is probably small comfort.)
<hr>
The equation for a single win/lose bet given a two-outcome event:
p = win probability
o = decimal odds offered on bet
x = bet size as percentage of bankroll
E(growth) = (1+(o-1)*x)<sup>p</sup> * (1-x)<sup>1-p</sup>
And for two mutually exclusive win/lose bets given a three-outcome event:
p<sub>1</sub> = win probability of event 1
p<sub>2</sub> = win probability of event 2
o<sub>1</sub> = decimal odds offered on bet 1
o<sub>2</sub> = decimal odds offered on bet 2
x<sub>1</sub> = bet 1 size as percentage of bankroll
x<sub>2</sub> = bet 2 size as percentage of bankroll
E(growth) =
(1 + (o<sub>1</sub>-1)*x<sub>1</sub> - x<sub>2</sub>)<sup>p<sub>1</sub></sup> *
(1 + (o<sub>2</sub>-1)*x<sub>2</sub> - x<sub>1</sub>)<sup>p<sub>2</sub></sup> *
(1 - x<sub>1</sub> - x<sub>2</sub>)<sup>1-p<sub>1</sub>-p<sub>2</sub></sup>
As I've said, if your goal is to maximize expected bankroll growth then in the case of a market presenting a riskless multiway arb your optimal strategy (again assuming zero time-value-of-money and zero opportunity cost) is to bet a proportion of your bankroll on each outcome equal to the probability of that outcome occurring. Perhaps counter-intuitively the edges on the individual bets are irrelevant. (If there are 5 people out there who express interest I'll write up a mathematical proof.)
The $200K bet serves in part as a hedge for the positive expectation bet placed on bet 2.
The reason why the bettor shouldn't just "hypothesize that as $1000 is [his] max bet on outcome ... that [his] bankroll is equal to $1000/0.222222 = $4500" is because it has no economic or mathematical rationale. One can't just hypothesize bankroll size as part of an effective betting strategy.

That's exactly what Kelly does.

Very good question. (We refer to this either as the bankroll either growing (shrinking, really) to zero, or growing at a rate of -100%. This can get a little confusing as sometimes people might refer to this as a growth rate of 0, which is ambiguous at best.)
Let's say you have a bet at even odds that occurs with probability 75%. If a bettor were to wager his entire bankroll on the outcome he'd have a 75% chance of doubling his bankroll and a 25% chance of bankrupting himself.
Assuming he were to continue to wager his entire bankroll on the same bet until he were to go bankrupt or until he were to have placed and won 3 bets, then prior tto his first wager he'd have a 42.1875% prob of ending up with 8x his money and a 57.8125% prob of bankrupting himself.
10 bets? 1,024x his initial with probability 5.6314%, bankruptcy with probability 94.3686%.
20 bets? 1,048,576x his initial bankroll with prob 0.3171%, bankruptcy with prob 99.6829%.
100 bets? 1,267,650,600,228,230,000,000,000,000,00 0x his initial bankroll with prob 0.0000000000321%, bankruptcy with prob 99.9999999999679%.
You get the idea ...
The point is that as the number of bets placed increases, the probability of bankruptcy approaches certainty. So even though the expected value of any number of these bets is positive, the expected bankroll growth from making them is zero. (The idea is that were you to repeat the bet a large number of times, and then repeat that experiment a large number of times, while the most common outcome would be bankruptcy, the extremely infrequent times the player didn't go bankrupt would greatly skew the average. Because we all only live one life, the fact that an alternate you in some parallel universe is richer than Bill Gates while you're eating dried cat food is probably small comfort.)
<hr>
The equation for a single win/lose bet given a two-outcome event:
p = win probability
o = decimal odds offered on bet
x = bet size as percentage of bankroll
E(growth) = (1+(o-1)*x)<sup>p</sup> * (1-x)<sup>1-p</sup>
And for two mutually exclusive win/lose bets given a three-outcome event:
p<sub>1</sub> = win probability of event 1
p<sub>2</sub> = win probability of event 2
o<sub>1</sub> = decimal odds offered on bet 1
o<sub>2</sub> = decimal odds offered on bet 2
x<sub>1</sub> = bet 1 size as percentage of bankroll
x<sub>2</sub> = bet 2 size as percentage of bankroll
E(growth) =
(1 + (o<sub>1</sub>-1)*x<sub>1</sub> - x<sub>2</sub>)<sup>p<sub>1</sub></sup> *
(1 + (o<sub>2</sub>-1)*x<sub>2</sub> - x<sub>1</sub>)<sup>p<sub>2</sub></sup> *
(1 - x<sub>1</sub> - x<sub>2</sub>)<sup>1-p<sub>1</sub>-p<sub>2</sub></sup>