Editing 128: dPain over dt
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: <math> Pain(t) = {c_1 \left(e^{k_2/d} + e^{t/d}\right)}^{-dk_1} + \frac{[\text{Megan}]}{k_1}</math> | : <math> Pain(t) = {c_1 \left(e^{k_2/d} + e^{t/d}\right)}^{-dk_1} + \frac{[\text{Megan}]}{k_1}</math> | ||
| − | If ''k<sub>1</sub>'' was positive or if ''k<sub>2</sub>'' was a large value, the value of ''dPain/dt'' would approach zero. Ideally, ''k<sub>1</sub>'' would be "How much she's in my life"/''Pain'' (we assume both these values are positive), while ''k<sub>2</sub>'' would ideally be extremely large. Either of these scenarios approach what would be a situation where the value of ''dPain/dt'' is close to zero. But we don't know the meaning of ''k<sub>1</sub>'' or ''k<sub>2</sub>'' | + | If ''k<sub>1</sub>'' was positive or if ''k<sub>2</sub>'' was a large value, the value of ''dPain/dt'' would approach zero. Ideally, ''k<sub>1</sub>'' would be "How much she's in my life"/''Pain'' (we assume both these values are positive), while ''k<sub>2</sub>'' would ideally be extremely large. Either of these scenarios approach what would be a situation where the value of ''dPain/dt'' is close to zero. But we don't know the meaning of ''k<sub>1</sub>'' or ''k<sub>2</sub>'', these variables are just unpredictable. |
In the title text, [[Randall]] changes the famous "laugh to keep from crying" statement to math. | In the title text, [[Randall]] changes the famous "laugh to keep from crying" statement to math. | ||
