1. Why Is Calculus Important? Central mathematical subject underpinning science and engineering Central mathematical subject underpinning science and engineering Key tool in modeling continuously evolving phenomena in nature, society, and technology Key tool in modeling continuously evolving phenomena in nature, society, and technology Single most important topic: differential equations Single most important topic: differential equations

2. History Copernicus (key date 1514) Copernicus (key date 1514) Brahe (key date 1597) Brahe (key date 1597) Kepler (key date 1609) Kepler (key date 1609) Newton (key date 1687) Newton (key date 1687)

3. Copernicus Lived 1473 – 1543 Lived 1473 – 1543 Heliocentric system in 1514 publication Heliocentric system in 1514 publication Explained retrograde motion Explained retrograde motion

4. Tych Brahe Lived 1546 – 1601 Lived 1546 – 1601 1574 – 1597 compiled accurate astronomical data 1574 – 1597 compiled accurate astronomical data Design and calibration of instruments and observational practices revolutionized astronomy Design and calibration of instruments and observational practices revolutionized astronomy

5. Johannes Kepler Lived 1571 - 1630 Lived 1571 - 1630 Number Mystic Number Mystic Essentially stole Brahe’s data Essentially stole Brahe’s data After 9 years of intense study, discovered the three laws of planetary motion by 1609 After 9 years of intense study, discovered the three laws of planetary motion by 1609 His elliptical orbits provided highly simple and accurate model His elliptical orbits provided highly simple and accurate model

6. Isaac Newton Lived 1643 – 1727 Lived 1643 – 1727 Invented calculus at age 22 while university was closed due to the plague Invented calculus at age 22 while university was closed due to the plague Conceived a simple universal law of gravitational force Conceived a simple universal law of gravitational force DERIVED Kepler’s results as a consequence in 1687 DERIVED Kepler’s results as a consequence in 1687

7. How did Newton do it? Differential Equations! Fast forward 300 years …

8. Mars Global Surveyor Launched 11/7/96 Launched 11/7/96 10 month, 435 million mile trip 10 month, 435 million mile trip Final 22 minute rocket firing Final 22 minute rocket firing Stable orbit around Mars Stable orbit around Mars

9. Mars Rover Missions 7 month, 320 million mile trip 7 month, 320 million mile trip 3 stage launch program 3 stage launch program Exit Earth orbit at 23,000 mph Exit Earth orbit at 23,000 mph 3 trajectory corrections en route 3 trajectory corrections en route Final destination: soft landing on Mars Final destination: soft landing on Mars

11. Interplanetary Golf Comparable shot in miniature golf Comparable shot in miniature golf 14,000 miles to the pin more than half way around the equator 14,000 miles to the pin more than half way around the equator Uphill all the way Uphill all the way Hit a moving target Hit a moving target T off from a spinning merry-go-round T off from a spinning merry-go-round

13. Course Corrections 3 corrections in cruise phase 3 corrections in cruise phase Location measurements Location measurements Radio Ranging to Earth Accurate to 30 feet Radio Ranging to Earth Accurate to 30 feet Reference to sun and stars Reference to sun and stars Position accurate to 1 part in 200 million -- 99.9999995% accurate Position accurate to 1 part in 200 million -- 99.9999995% accurate

14. How is this possible? One word answer: Differential Equations (OK, 2 words, so sue me)

15. Reductionism Highly simplified crude approximation Highly simplified crude approximation Refine to microscopic scale Refine to microscopic scale In the limit, answer is exactly right In the limit, answer is exactly right Right in a theoretical sense Right in a theoretical sense Practical Significance: highly effective means for constructing and refining mathematical models Practical Significance: highly effective means for constructing and refining mathematical models

16. Tank Model Example 100 gal water tank 100 gal water tank Initial Condition: 5 pounds of salt dissolved in water Initial Condition: 5 pounds of salt dissolved in water Inflow: pure water 10 gal per minute Inflow: pure water 10 gal per minute Outflow: mixture, 10 gal per minute Outflow: mixture, 10 gal per minute Problem: model the amount of salt in the tank as a function of time Problem: model the amount of salt in the tank as a function of time

17. In one minute … Start with 5 pounds of salt in the water Start with 5 pounds of salt in the water 10 gals of the mixture flows out 10 gals of the mixture flows out That is 1/10 of the tank That is 1/10 of the tank Lose 1/10 of the salt Lose 1/10 of the salt That leaves 4.95 pounds of salt That leaves 4.95 pounds of salt

18. Critique Water flows in and out of the tank continuously, mixing in the process Water flows in and out of the tank continuously, mixing in the process During the minute in question, the amount of salt in the tank will vary During the minute in question, the amount of salt in the tank will vary Water flowing out at the end of the minute is less salty than water flowing out at the start Water flowing out at the end of the minute is less salty than water flowing out at the start Total amount of salt that is removed will be less than.5 pounds Total amount of salt that is removed will be less than.5 pounds

19. Improvement: ½ minute In.5 minutes, water flow is.5(10) = 5 gals In.5 minutes, water flow is.5(10) = 5 gals IOW: in.5 minutes replace.5(1/10) of the tank IOW: in.5 minutes replace.5(1/10) of the tank Lose.5(1/10)(5 pounds) of salt Lose.5(1/10)(5 pounds) of salt Summary: t =.5, s = -.5(.1)(5) Summary: t =.5, s = -.5(.1)(5) This is still approximate, but better This is still approximate, but better

20. Improvement:.01 minute In.01 minutes, water flow is.01(10) = 1/1000 of full tank In.01 minutes, water flow is.01(10) = 1/1000 of full tank IOW: in.01 minutes replace.01(1/10) =.001 of the tank IOW: in.01 minutes replace.01(1/10) =.001 of the tank Lose.01(1/10)(5 pounds) of salt Lose.01(1/10)(5 pounds) of salt Summary: t =.01, s = -.01(.1)(5) Summary: t =.01, s = -.01(.1)(5) This is still approximate, but even better This is still approximate, but even better

21. Summarize results t (minutes) s (pounds) 1-1(.1)(5).5-.5(.1)(5).01-.01(.1)(5)

22. Summarize results t (minutes) s (pounds) 1-1(.1)(5).5-.5(.1)(5).01-.01(.1)(5) h-h(.1)(5)

23. Other Times So far, everything is at time 0 So far, everything is at time 0 s = 5 pounds at that time s = 5 pounds at that time What about another time? What about another time? Redo the analysis assuming 3 pounds of salt in the tank Redo the analysis assuming 3 pounds of salt in the tank Final conclusion: Final conclusion:

24. So at any time… If the amount of salt is s, We still don’t know a formula for s(t) But we do know that this unknown function must be related to its own derivative in a particular way.

25. Differential Equation Function s(t) is unknown Function s(t) is unknown It must satisfy s’ (t) = -.1 s(t) It must satisfy s’ (t) = -.1 s(t) Also know s(0) = 5 Also know s(0) = 5 That is enough information to completely determine the function: That is enough information to completely determine the function: s(t) = 5e -.1t s(t) = 5e -.1t

26. Initial Value Problem Differential equation of the form y’ = f (x,y) Differential equation of the form y’ = f (x,y) Meaning: an unknown curve with slope defined at any point (x, y) Meaning: an unknown curve with slope defined at any point (x, y) One specific point (x0, y0) given One specific point (x0, y0) given Curve is uniquely defined Curve is uniquely defined Velocity field concept Velocity field concept Interactive Demo Interactive Demo Interactive Demo Interactive Demo

29. Applications of Tank Model Other substances than salt Other substances than salt Incorporate additions as well as reductions of the substance over time Incorporate additions as well as reductions of the substance over time Pollutants in a lake Pollutants in a lake Chemical reactions Chemical reactions Metabolization of medications Metabolization of medications Heat flow Heat flow

30. Miraculous! Start with simple yet plausible model Start with simple yet plausible model Refine through limit concept to an exact equation about derivative Refine through limit concept to an exact equation about derivative Obtain an exact prediction of the function for all time Obtain an exact prediction of the function for all time This method has been found over years of application to work incredibly, impossibly well This method has been found over years of application to work incredibly, impossibly well

31. On the other hand… In some applications the method does not seem to work at all In some applications the method does not seem to work at all We now know that the form of the differential equation matters a great deal We now know that the form of the differential equation matters a great deal For certain forms of equation, theoretical models can never give accurate predictions of reality For certain forms of equation, theoretical models can never give accurate predictions of reality Chaos Video explains this Chaos Video explains this