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Introduction to Neighbourhoods of a Point


In real analysis, the concept of Neighbourhoods of a Point is essential for understanding open and closed sets. This article delves into the definitions, illustrative examples, and fundamental theorems associated with neighbourhoods and deleted neighbourhoods. By incorporating standard mathematical notation such as \(\mathbb{R}\) for the set of real numbers, this guide aims to enhance your comprehension while ensuring the content is optimized for search engines.

Neighbourhood of a Point


Definition: [Neighbourhood]

Let \(S\subseteq \mathbb{R}\) and \(\alpha \in \mathbb{R}\). \(S\) is said to be a neighbourhood of \(\alpha \) if there exits an open interval \( I \) such that \[\alpha\in I\subseteq S .\]

For convenience, we will take an open interval \( (\alpha – \delta, \alpha + \delta ) \) provide \( \delta \gt 0 \) as a neighbourhood of \(\alpha \) and is denoted by \( \operatorname{N}_{\delta}(\alpha) \). Therefore \[\operatorname{N}_{\delta}(\alpha)=(\alpha – \delta, \alpha + \delta )=\set{x\in \mathbb{R}: |x-\alpha|\lt \delta }.\]

Deleted Neighbourhood of a Point


Definition: [Deleted Neighbourhood]

Let \(S\subseteq \mathbb{R}\) and \(\alpha \in \mathbb{R}\). \(S\) is said to be a deleted neighbourhood of \(\alpha \) if \[S=(\alpha – \delta, \alpha + \delta )-\set{\alpha}\]

And is denoted by \( \operatorname{N}^{\prime}_{\delta}(\alpha) \). Therefore \[\operatorname{N}^{\prime}_{\delta}(\alpha)=(\alpha – \delta, \alpha + \delta )-\set{\alpha}=\set{x\in \mathbb{R}: 0\lt |x -\alpha|\lt \delta }.\]

Theorems


Theorem-1


Statement:

Let \(\alpha \in \mathbb{R} \) and \(0\lt \delta_{1} \leq \delta_{2} \) then \[\operatorname{N}_{\delta_{1}}(\alpha)\subseteq \operatorname{N}_{\delta_{2}}(\alpha).\]

Proof:

We have \(\alpha \in \mathbb{R} \) and \(0\lt \delta_{1} \leq \delta_{2} \).

To prove \(\operatorname{N}_{\delta_{1}}(\alpha)\subseteq \operatorname{N}_{\delta_{2}}(\alpha)\)

Let \[\begin{align} & \beta \in \operatorname{N}_{\delta_{1}}(\alpha) \nonumber \\ \implies & |\beta -\alpha|\lt \delta_{1} \nonumber \\ \implies & |\beta -\alpha|\lt \delta_{2} \nonumber \\ \implies & \beta \in \operatorname{N}_{\delta_{2}}(\alpha) \nonumber \end{align}\]

Therefore \(\operatorname{N}_{\delta_{1}}(\alpha)\subseteq \operatorname{N}_{\delta_{2}}(\alpha)\).

Conclusion


In conclusion, the study of Neighbourhoods of a Point is a fundamental aspect of real analysis, laying the groundwork for understanding more complex topics such as continuity, limits, and topological spaces. Through precise definitions and rigorous proofs, we gain valuable insights into how points and their surroundings interact within the realm of mathematics. This exploration reinforces the importance of clear mathematical notation and logical reasoning in forming a robust analytical framework.

FAQs

Real Analysis

  • What is the definition of a limit of a sequence?

    <p>A sequence ( {a_n} ) has a limit ( L ) if for every ( epsilon > 0 ), there exists an integer ( N ) such that for all ( n geq N ), we have:</p>

                <p>[

                |a_n - L| lt epsilon

                ]

                </p>

  • What is the Bolzano-Weierstrass theorem?

    <p>The Bolzano-Weierstrass theorem states that every bounded sequence in ( mathbb{R} ) has a convergent subsequence.</p>

  • What is a Cauchy sequence?

    <p>A sequence ( {a_n} ) is called a Cauchy sequence if for every ( epsilon > 0 ), there exists an integer ( N ) such that for all ( m, n geq N ), we have:</p>

                <p>[

                |a_m - a_n| lt epsilon

                ]

                </p>

  • State the completeness property of real numbers.

    <p>The completeness property states that every non-empty subset of ( mathbb{R} ) that is bounded above has a least upper bound (supremum) in ( mathbb{R} ).</p>

  • What is the Intermediate Value Theorem?

    <p>If a function ( f ) is continuous on a closed interval ( [a, b] ) and ( f(a) neq f(b) ), then for any ( c ) between ( f(a) ) and ( f(b) ), there exists some ( x in (a, b) ) such that:</p>

                <p>[

                f(x) = c

                ]

                </p>

  • What is the definition of uniform continuity?

    <p>A function ( f: A to mathbb{R} ) is uniformly continuous if for every ( epsilon > 0 ), there exists ( delta > 0 ) such that for all ( x, y in A ) satisfying ( |x - y| lt delta ), we have:</p>

                <p>[

                |f(x) - f(y)| lt epsilon

                ]

                </p>

  • What is the difference between pointwise and uniform convergence?

    <p>Pointwise convergence means ( f_n(x) to f(x) ) for each fixed ( x ), while uniform convergence requires that the convergence is uniform over all ( x ) in the domain, i.e.,</p>

                <p>[

                sup_{x in A} |f_n(x) - f(x)| to 0 text{ as } n to infty.

                ]

                </p>

  • What is the Weierstrass M-test?

    <p>The Weierstrass M-test states that if ( sum f_n(x) ) is a sequence of functions and there exist constants ( M_n ) such that ( |f_n(x)| leq M_n ) for all ( x ) and ( sum M_n ) converges, then ( sum f_n(x) ) converges uniformly.</p>

  • What is the Riemann integral?

    <p>A function ( f ) is Riemann integrable on ( [a, b] ) if the limit of the Riemann sums exists as the partition norm goes to zero, i.e.,</p>

                <p>[

                int_a^b f(x) , dx = lim_{|mathcal{P}| to 0} sum f(x_i^*) Delta x_i.

                ]

                </p>

  • What is the Fundamental Theorem of Calculus?

    <p>The Fundamental Theorem of Calculus states that if ( f ) is continuous on ( [a, b] ), then:</p>

                <p>[

                frac{d}{dx} left( int_a^x f(t) dt right) = f(x).

                ]

                </p>

                <p>Additionally, if ( F(x) ) is an antiderivative of ( f(x) ), then:</p>

                <p>[

                int_a^b f(x) dx = F(b) – F(a).

                ]

                </p>

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