🇮🇳 GATE Mathematics · subject
GATE Mathematics Topology Syllabus
Every chapter and topic of Topology examined in GATE Mathematics — 1 chapter, 11 topics, plus 50 flashcards written against it.
Topology syllabus — full chapter and topic list
Expand any chapter to see its topics and sub-topics. This is the whole examinable outline for Topology in GATE Mathematics, not a summary of it.
-
Basic concepts of topology
11 topics- Bases
- Subbases
- Subspace topology
- Order topology
- Product topology
- Quotient topology
- Metric topology
- Connectedness
- Compactness
- Countability and separation axioms
- Urysohn’s Lemma
Topology flashcards for GATE Mathematics
22 of 50 cards from the Topology deck — real questions with worked answers.
What is a basis (base) $\mathcal{B}$ for a topology on a set $X$?
A collection $\mathcal{B}$ of subsets of $X$ such that (1) every $x\in X$ lies in some $B\in\mathcal{B}$, and (2) if $x\in B_1\cap B_2$ with $B_1,B_2\in\mathcal{B}$, then there exists $B_3\in\mathcal{B}$ with $x\in B_3\subseteq B_1\cap B_2$.
How is the topology $\tau$ generated by a basis $\mathcal{B}$ defined?
A set $U\subseteq X$ is open ($U\in\tau$) if and only if for every $x\in U$ there exists $B\in\mathcal{B}$ with $x\in B\subseteq U$. Equivalently, every open set is a union of basis elements.
State the criterion (using bases) for a topology $\tau'$ to be finer than a topology $\tau$ on $X$.
Let $\mathcal{B},\mathcal{B}'$ generate $\tau,\tau'$. Then $\tau\subseteq\tau'$ iff for each $B\in\mathcal{B}$ and each $x\in B$ there is $B'\in\mathcal{B}'$ with $x\in B'\subseteq B$.
What is a subbasis $\mathcal{S}$ for a topology on $X$, and how does it generate the topology?
A subbasis is any collection $\mathcal{S}$ of subsets of $X$ whose union is $X$. The topology it generates has as a basis all finite intersections $S_1\cap\cdots\cap S_n$ of members of $\mathcal{S}$; open sets are arbitrary unions of these.
Given a topological space $(X,\tau)$ and $Y\subseteq X$, define the subspace topology on $Y$.
The subspace (relative) topology is $\tau_Y=\{\,Y\cap U : U\in\tau\,\}$, i.e. open sets of $Y$ are intersections of open sets of $X$ with $Y$.
If $\mathcal{B}$ is a basis for $X$ and $Y\subseteq X$, what is a basis for the subspace topology on $Y$?
The collection $\mathcal{B}_Y=\{\,B\cap Y : B\in\mathcal{B}\,\}$ is a basis for the subspace topology on $Y$.
When a set $A\subseteq Y\subseteq X$ is open (or closed) in $Y$, when is it open (or closed) in $X$?
If $Y$ is open in $X$, then $A$ open in $Y$ implies $A$ open in $X$. If $Y$ is closed in $X$, then $A$ closed in $Y$ implies $A$ closed in $X$. In general a set open/closed in the subspace need not be so in $X$.
Define the order topology on a totally ordered set $(X,<)$ with more than one element.
It is generated by the basis of all open intervals $(a,b)=\{x:a<x<b\}$, together with all rays $[a_0,b)$ if $X$ has a smallest element $a_0$ and all rays $(a,b_0]$ if $X$ has a largest element $b_0$.
Define the product topology on $\prod_{\alpha\in J} X_\alpha$ and give its standard subbasis.
It is generated by the subbasis $\{\pi_\beta^{-1}(U_\beta): \beta\in J,\ U_\beta\subseteq X_\beta \text{ open}\}$. A basis element is $\prod_\alpha U_\alpha$ where $U_\alpha$ is open and $U_\alpha=X_\alpha$ for all but finitely many $\alpha$.
How does the box topology on $\prod_\alpha X_\alpha$ differ from the product topology?
The box topology has basis $\prod_\alpha U_\alpha$ with each $U_\alpha$ open and no finiteness restriction. For finite products box = product; for infinite products the box topology is strictly finer.
State the universal mapping property characterizing the product topology.
A function $f:Z\to\prod_\alpha X_\alpha$ is continuous iff each coordinate function $\pi_\alpha\circ f:Z\to X_\alpha$ is continuous. (This characterizes the product topology, not the box topology.)
Define the quotient topology induced by a surjection $p:X\to Y$ from a space $X$.
A set $U\subseteq Y$ is open iff $p^{-1}(U)$ is open in $X$. This is the finest topology on $Y$ making $p$ continuous; $p$ is then called a quotient map.
What is a quotient map $p:X\to Y$ (give the defining condition)?
A surjective continuous map such that $U\subseteq Y$ is open iff $p^{-1}(U)$ is open in $X$ (equivalently the same for closed sets). Continuous surjections that are open maps, or closed maps, are quotient maps.
Define a metric topology on a set $X$ induced by a metric $d$.
It is generated by the basis of open balls $B_d(x,\varepsilon)=\{y\in X: d(x,y)<\varepsilon\}$ for all $x\in X$ and $\varepsilon>0$. A set is open iff each of its points has an open ball around it contained in the set.
State the four axioms a metric $d:X\times X\to\mathbb{R}$ must satisfy.
For all $x,y,z$: (1) $d(x,y)\geq 0$; (2) $d(x,y)=0 \iff x=y$; (3) symmetry $d(x,y)=d(y,x)$; (4) triangle inequality $d(x,z)\leq d(x,y)+d(y,z)$.
What does it mean for a topological space to be metrizable?
A space $(X,\tau)$ is metrizable if there exists a metric $d$ on $X$ whose induced metric topology equals $\tau$.
Define connectedness of a topological space $X$.
$X$ is connected if it cannot be written as a union $X=A\cup B$ of two disjoint nonempty open sets (a separation). Equivalently, the only subsets that are both open and closed (clopen) are $\varnothing$ and $X$.
Characterize the connected subsets of $\mathbb{R}$ (with the standard topology).
A subset of $\mathbb{R}$ is connected iff it is an interval (including rays, $\mathbb{R}$, single points, and $\varnothing$), i.e. a convex set: if it contains $a<c<b$ with $a,b$ in it, then $c$ is in it.
State the theorem on continuous images of connected spaces, and name its classical corollary.
If $f:X\to Y$ is continuous and $X$ is connected, then $f(X)$ is connected. Corollary: the Intermediate Value Theorem — a continuous $f:[a,b]\to\mathbb{R}$ attains every value between $f(a)$ and $f(b)$.
What is the relationship between path-connectedness and connectedness?
Path-connected $\Rightarrow$ connected, but not conversely. Counterexample: the topologist's sine curve is connected but not path-connected.
Define compactness of a topological space $X$.
$X$ is compact if every open cover of $X$ has a finite subcover: whenever $X=\bigcup_{\alpha} U_\alpha$ with each $U_\alpha$ open, there is a finite subset such that $X=U_{\alpha_1}\cup\cdots\cup U_{\alpha_n}$.
State the Heine–Borel Theorem characterizing compact subsets of $\mathbb{R}^n$.
A subset of $\mathbb{R}^n$ (Euclidean topology) is compact iff it is closed and bounded.
Planning Topology for GATE Mathematics
Topology is about 10% of the GATE Mathematics syllabus by topic count — 11 of 110 topics, spread over 1 chapters. At roughly 45 minutes per topic plus 12 minutes per sub-topic, a first pass runs to about 8 hours.
Work top-down: read the chapter, then tick topics off individually rather than marking the whole chapter done. Sub-topics are where silent gaps hide.
Topology (GATE Mathematics) FAQ
What is in the GATE Mathematics Topology syllabus?
Topology is split into 1 chapter — Basic concepts of topology, containing 11 topics and 0 sub-topics in total.
How is Topology structured in the GATE Mathematics syllabus?
1 chapters. Topology accounts for about 10% of the topics in the whole GATE Mathematics syllabus (11 of 110).
How long should I spend on Topology for GATE Mathematics?
Budget around 8 hours for a first pass through Topology — about 45 minutes per topic plus 12 minutes per sub-topic across its 11 topics. Add revision cycles on top.
Are there flashcards for GATE Mathematics Topology?
Yes — a 50-card Topology deck. Sample cards are printed on this page, and the full deck is free in the Examius app with spaced repetition scheduling.