Complete Solutions and Summary of Introduction to Mathematical Modelling – NCERT Class 9, Mathematics, Appendix 2 – Summary, Questions, Answers, Extra Questions
Detailed summary and explanation of Appendix 2 ‘Introduction to Mathematical Modelling’ including word problems, formulation, solution, interpretation, validation, advantages, and limitations of modelling with question answers and extra exercises from NCERT Class IX, Mathematics.
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Introduction to Mathematical Modelling
Appendix 2: Mathematics - Complete Study Guide
Chapter Overview
What You'll Learn
Mathematical Model
Relation describing real-life situations.
Word Problems Review
Steps in solving real-world problems mathematically.
Modelling Process
Formulation, solution, interpretation, validation.
Advantages & Limits
Benefits and constraints of models.
Key Highlights
Mathematical modelling translates real-world problems into math for solutions. Used in satellite launches, monsoon predictions, pollution control, traffic management. Involves formulation (relevant factors, equations), solving, interpreting, validating. Advantages: Cheap, safe experiments. Limitations: Approximations, not exact reality.
Comprehensive Chapter Summary
1. Introduction to Mathematical Modelling
- From earlier classes, solving real-world problems like simple interest using formulas.
- Formula is a mathematical model describing relations between quantities.
- Models used for satellite launches, monsoon prediction, pollution control, traffic jams.
- Process: Take real problem, formulate mathematically, solve, interpret, validate.
- Expanded: Models simplify complex realities for analysis and prediction. Essential in science, engineering, economics.
- Historical context: Evolved from basic equations to complex simulations.
- Importance: Allows testing scenarios without real-world risks or costs.
- Examples illustrate transition from word problems to full modelling.
Real-Life Applications
Launching satellites, predicting monsoons, controlling vehicle pollution, reducing traffic jams in cities.
2. Review of Word Problems
- Steps: Formulation (identify relation, equation), solution, interpretation.
- Example 1: Petrol for distance, direct variation \( y = kx \), assumptions constant conditions.
- Example 2: Simple interest \( I = \frac{Pnr}{100} \), find time, assume constant rate/price.
- Example 3: Boat speeds upstream/downstream, equations for distance, assume constant speeds/friction negligible.
- Expanded: Word problems build foundation for modelling. Identify relevant/irrelevant factors.
- Assumptions crucial: Ignore minor effects for simplicity.
- Mathematical description key: Translate words to equations.
- Interpretation links math back to reality.
Word Problem Steps
- Formulation: Relevant factors, equation.
- Solution: Solve math problem.
- Interpretation: Apply to real context.
Assumptions in Problems
- Constant rates/speeds.
- Neglect friction/variations.
Exercise A2.1 Problems
- Computer hire vs buy.
- Cars meeting time.
- Moon orbital speed.
- Water heater hours.
3. Some Mathematical Models
- Add validation step: Check solution against reality, modify if needed.
- Example 4: Room tiling, calculate tiles, validate practical (extra for damage).
- Example 5: Girls enrolment, linear model, validate errors, revise with correction.
- Population growth: Exponential model \( P = P_0 e^{rt} \).
- Radioactive decay: \( A = A_0 e^{-kt} \).
- Newton's cooling: \( T - T_s = (T_0 - T_s) e^{-kt} \).
- Expanded: Validation ensures model accuracy. Iterative process improves fit.
- Models approximate; balance simplicity and precision.
- Applications: Social issues like gender equality, scientific phenomena.
- Exercise A2.2: 400m race timings model.
Girls Enrolment Model
Data from 1991-2002, linear increase 0.22%/year, predict 50% in 2027 after revision.
Population Growth
India 2001-2011 data, model \( P = 1027 e^{0.014t} \), predict 2026 population.
4. The Process of Modelling, Advantages and Limitations
- Formulation: State problem, relevant factors, math description.
- Solution: Solve equations.
- Interpretation: Relate to real-world.
- Validation: Check/match reality, revise.
- Advantages: Cheap, safe, quick experiments; predict/explain.
- Limitations: Approximations, not exact; apply within limits.
- Expanded: Modelling iterative, creative. Balances accuracy/ease.
- Examples: Taj corrosion, school needs, motion laws.
- Exercise A2.3: Traffic waiting, factors.
- Summary points reinforce key ideas.
Advantages
Model Taj corrosion without risk, predict schools mathematically.
Key Concepts and Definitions
Mathematical Model
Math relation for real situations.
Formulation
Problem to math equations.
Solution
Solve math problem.
Interpretation
Apply solution to reality.
Validation
Check against real data.
Relevant Factors
Important variables.
Assumptions
Hypotheses for simplicity.
Important Facts
Questions and Answers from Chapter
Short Questions (1 Mark)
Q1. What is a mathematical model?
Q2. Name one use of models.
Q3. What is formulation?
Q4. What is validation?
Q5. In petrol example, what varies directly?
Q6. Simple interest formula?
Q7. Boat upstream speed?
Q8. Assumption in boat problem?
Q9. Tiles example, number along length?
Q10. Enrolment initial year?
Q11. Population growth formula?
Q12. Decay constant k?
Q13. Cooling law?
Q14. Advantage of modelling?
Q15. Limitation?
Q16. Relevant factors in formulation?
Q17. In computer hire, what to find?
Q18. Cars speed sum?
Q19. Moon distance?
Q20. Heater cost per hour?
Medium Questions (3 Marks)
Q1. In petrol example, find k.
Q2. Interest example, equation for n.
Q3. Boat equation.
Q4. Tiles formula.
Q5. Enrolment model (2).
Q6. Revised enrolment.
Q7. Population 2026.
Q8. Decay half-life.
Q9. Cooling solution.
Q10. Computer months.
Q11. Cars meeting time.
Q12. Moon speed.
Q13. Heater hours.
Q14. Race model.
Q15. Traffic factors.
Q16. Relevant in petrol.
Q17. Assumptions in interest.
Q18. Boat assumptions.
Q19. Tiles validation.
Q20. Enrolment validation.
Long Questions (6 Marks)
Q1. Suppose a company needs a computer for some period of time. The company can either hire a computer for Rs 2,000 per month or buy one for Rs 25,000. Find the number of months beyond which it will be cheaper to buy a computer.
Q2. A car starts from a place A and travels at a speed of 40 km/h towards another place B. At the same instance, another car starts from B and travels towards A at a speed of 30 km/h. If the distance between A and B is 100 km, after how much time will the cars meet?
Q3. The moon is about 3,84,000 km from the earth, and its path around the earth is nearly circular. Find the speed at which it orbits the earth, assuming that it orbits the earth in 24 hours. (Use π = 3.14)
Q4. A family pays Rs 1000 for electricity on an average in those months in which it does not use a water heater. In the months in which it uses a water heater, the average electricity bill is Rs 1240. The cost of using the water heater is Rs 8.00 per hour. Find the average number of hours the water heater is used in a day.
Q5. Using 400m race data, construct model, estimate next Olympics timing.
Q6. Suppose you want to minimise the waiting time of vehicles at a traffic junction of four roads. Which factors are important?
Q7. I travelled 432 km on 48 litres petrol. How much for 180 km?
Q8. Invest Rs 15000 at 8%, buy Rs 19000 machine. Find period.
Q9. Boat upstream 6h, downstream 5h, stream 2 km/h. Find still speed.
Q10. Room 6m x 5m, tiles 30cm. How many tiles?
Q11. Girls enrolment data, model to 50%.
Q12. Population 1027 million 2001, rate 1.4%. 2026 population.
Q13. Radioactive decay model.
Q14. Newton's cooling for coffee.
Q15. Discuss modelling process steps.
Q16. Advantages of modelling.
Q17. Limitations of modelling.
Q18. How word problems differ from modelling?
Q19. In traffic model, important factors?
Q20. Balance in good model?
Interactive Knowledge Quiz
Test your understanding of Mathematical Modelling
Quick Revision Notes
Modelling Steps
- Formulation
- Solution
- Interpretation
- Validation
Models Types
- Linear
- Exponential
- Decay
Advantages
- Cheap
- Safe
Exam Strategy Tips
- Identify factors
- Form equations
- Solve interpret
- Validate models
- List assumptions
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