Introduction to Limits
Limits are a fundamental concept in calculus that describe how a function behaves as it approaches a specific point. They help define derivatives and integrals, forming the backbone of mathematical analysis and machine learning optimization techniques.
Formal Definition & Notation
A limit represents the value that a function approaches as the input gets arbitrarily close to a point.
x→alimf(x)=LThis means that as x gets arbitrarily close to a where approaches L.
The function does not need to be defined at x=a for the limit to exist.
One-Sided & Two-Sided Limits
A limit can be approached from either side:
- Left-hand limit: approaching a from values smaller than a. x→a−limf(x)
- Right-hand limit: approaching a from values larger than a. x→a+limf(x)
- The limit exists only if both one-sided limits are equal: x→a−limf(x)=x→a+limf(x)
Evaluating Limits in Python
Python, through the sympy
library, allows us to compute limits symbolically.
Computing a Limit Directly
12345678import sympy as sp x = sp.symbols('x') f = (x**2 - 4) / (x - 2) # Compute the limit as x approaches 2 limit_value = sp.limit(f, x, 2) print("Limit of f(x) as x approaches 2:", limit_value)
When Limits Fail to Exist
A limit does not exist in the following cases:
- Jump discontinuity:
x→a−limf(x)=x→a+limf(x)
- Example: a step function where the left and right limits are different.
- Infinite limit:
x→0limx21=∞
- The function grows unbounded.
- Oscillation:
x→0limsin(x1)
- The function fluctuates infinitely without settling to a single value.
Evaluating a Limit That Does Not Exist
12345678import sympy as sp x = sp.symbols('x') f = (x**2 - 4) / (x - 2) # Compute the limit as x approaches 2 limit_value = sp.limit(f, x, 2) print("Limit of f(x) as x approaches 2:", limit_value)
Special Case – Limits at Infinity
When x approaches infinity, we analyze the end behavior of functions:
- Rational functions: x→∞limx1=0
- Polynomial growth: x→∞limxx2=∞
- Dominant term rule: x→∞limbxnaxm=⎩⎨⎧0, if m<n,ba, if m=n,±∞, if m>n.
Computing a Limit at Infinity
1234567import sympy as sp x = sp.symbols('x') f = 1 / x limit_value = sp.limit(f, x, sp.oo) print("Limit of 1/x as x approaches infinity:", limit_value)
1. Which Python library is used to compute limits symbolically?
2. What will the following Python code output?
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Introduction to Limits
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Limits are a fundamental concept in calculus that describe how a function behaves as it approaches a specific point. They help define derivatives and integrals, forming the backbone of mathematical analysis and machine learning optimization techniques.
Formal Definition & Notation
A limit represents the value that a function approaches as the input gets arbitrarily close to a point.
x→alimf(x)=LThis means that as x gets arbitrarily close to a where approaches L.
The function does not need to be defined at x=a for the limit to exist.
One-Sided & Two-Sided Limits
A limit can be approached from either side:
- Left-hand limit: approaching a from values smaller than a. x→a−limf(x)
- Right-hand limit: approaching a from values larger than a. x→a+limf(x)
- The limit exists only if both one-sided limits are equal: x→a−limf(x)=x→a+limf(x)
Evaluating Limits in Python
Python, through the sympy
library, allows us to compute limits symbolically.
Computing a Limit Directly
12345678import sympy as sp x = sp.symbols('x') f = (x**2 - 4) / (x - 2) # Compute the limit as x approaches 2 limit_value = sp.limit(f, x, 2) print("Limit of f(x) as x approaches 2:", limit_value)
When Limits Fail to Exist
A limit does not exist in the following cases:
- Jump discontinuity:
x→a−limf(x)=x→a+limf(x)
- Example: a step function where the left and right limits are different.
- Infinite limit:
x→0limx21=∞
- The function grows unbounded.
- Oscillation:
x→0limsin(x1)
- The function fluctuates infinitely without settling to a single value.
Evaluating a Limit That Does Not Exist
12345678import sympy as sp x = sp.symbols('x') f = (x**2 - 4) / (x - 2) # Compute the limit as x approaches 2 limit_value = sp.limit(f, x, 2) print("Limit of f(x) as x approaches 2:", limit_value)
Special Case – Limits at Infinity
When x approaches infinity, we analyze the end behavior of functions:
- Rational functions: x→∞limx1=0
- Polynomial growth: x→∞limxx2=∞
- Dominant term rule: x→∞limbxnaxm=⎩⎨⎧0, if m<n,ba, if m=n,±∞, if m>n.
Computing a Limit at Infinity
1234567import sympy as sp x = sp.symbols('x') f = 1 / x limit_value = sp.limit(f, x, sp.oo) print("Limit of 1/x as x approaches infinity:", limit_value)
1. Which Python library is used to compute limits symbolically?
2. What will the following Python code output?
¡Gracias por tus comentarios!