A subset is a fundamental concept in set theory, forming the basis for various operations and relationships in mathematics. When we say one set is a subset of another, it means that every element of the first set is also an element of the second. Subsets are essential in understanding how sets relate to each other and are widely used in algebra, logic, and real-life problem-solving.
In this article on Subsets, Proper Subset, Improper Subset, Intervals, we will define subsets and types of subsets, also explain what is a subset in Maths, explore the types of subsets, and discuss the properties of subsets with clear subsets examples. You’ll also learn about the classifications of subset, including proper and improper subsets, and understand how intervals fit into the broader context of set theory.
A subset is a fundamental idea in set theory and mathematics as a whole. It helps us understand how collections of elements relate to each other, especially in topics like algebra, geometry, and statistics. A set is simply a well-defined collection of distinct objects, known as elements, which may include numbers, letters, people, or other items. Sets are typically represented by capital letters such as $A, B, C, S, U, V$. The idea of a subset emerges when we compare two sets and check whether all elements of one set are also present in another.
In this context, a subset refers to a set whose elements are entirely contained within another set. Understanding this relationship is essential for working with data groups, mathematical functions, and logical reasoning.
In mathematical terms, if $A$ and $B$ are two sets, then $A$ is a subset of $B$, written as $A \subseteq B$, if every element of $A$ is also an element of $B$. This relationship is formally defined as:
$A \subseteq B \Leftrightarrow \forall x(x \in A \Rightarrow x \in B)$
Let’s take a few simple examples to understand this:
Example 1:
Let $A = \{1, 2, 3\}$ and $B = \{1, 2, 3, 4, 5\}$
Since every element of $A$ is present in $B$, we can say:
$A \subseteq B$
Example 2:
Let $P = \{a, b\}$ and $Q = \{a, b, c\}$
Then:
$P \subseteq Q$
Example 3:
Let $X = \{7, 8\}$ and $Y = \{6, 7, 8, 9\}$
Then clearly:
$X \subseteq Y$
In set theory, the notation for subsets plays a crucial role in expressing mathematical relationships. The standard symbols include:
$A \subseteq B$: $A$ is a subset of $B$ (possibly equal).
$A \subset B$: $A$ is a proper subset of $B$ (all elements of $A$ are in $B$, but $A \ne B$).
$A \not\subseteq B$: $A$ is not a subset of $B$.
These notations help represent inclusion relationships between sets in a clear and concise way.
What is the difference between $\subseteq$ and $\subset$ ? The symbol $\subseteq$ represents subset while $\subset$ represents proper subset.
For example:
If $M = \{2, 4\}$ and $N = \{2, 4, 6\}$, then:
$M \subset N$
However, if $M = \{2, 4, 6\}$ and $N = \{2, 4, 6\}$, then:
$M \subseteq N$ but not $M \subset N$
Subsets are not just abstract concepts; they are used frequently in real-world contexts. Consider the following examples:
Example 1: Subjects in a Class
If Set $A = \{\text{Math, Science}\}$ and Set $B = \{\text{Math, Science, History, English}\}$, then:
$A \subseteq B$
Here, the subjects Math and Science are part of a larger curriculum.
Example 2: Team Members
If $A = \{\text{Riya, Karan}\}$ and $B = \{\text{Riya, Karan, Mitali, Aarav}\}$, then:
$A \subseteq B$
This shows a smaller group of team members inside a larger team.
Example 3: Fruits in a Basket
Let $A = \{\text{Apple, Banana}\}$ and $B = \{\text{Apple, Banana, Mango, Orange}\}$. Then:
$A \subseteq B$
This represents a subset of fruits taken from a bigger fruit basket.
These examples show how subsets help in organizing and analyzing grouped data or categories in daily life, education, and business logic.
In set theory, subsets can be further classified based on how they relate to the original or larger set. Understanding the types of subsets in mathematics helps in analyzing the structure and relationships between sets in more depth. The primary classifications include proper subsets, improper subsets, and special subsets like the empty set and the universal set. Subsets can also be categorized based on whether they are finite or infinite in nature.
A proper subset is a subset that contains some but not all elements of the original set. In simple terms, if set $A$ is a proper subset of set $B$, it means every element of $A$ is in $B$, but $A$ is not equal to $B$. The notation used is:
$A \subset B$
This symbol $\subset$ is read as “A is a proper subset of B.”
Example:
Let $A = \{1, 2\}$ and $B = \{1, 2, 3\}$, then: $A \subset B$
If a set contains $n$ elements, then:
Total subsets = $2^n$
Proper subsets = $2^n - 1$
Example:
Let $X = \{1, 2\}$
Number of elements = $n = 2$
Total subsets = $2^2 = 4$
Proper subsets = $2^2 - 1 = 3$
Proper subsets of $X$ are:
$\{\},\{1\},\{2\}\{\}, \{1\}, \{2\}\{\},\{1\},\{2\}$
The only subset not considered proper is $X$ itself, i.e., $\{1, 2\}$.
An improper subset is a subset that is identical to the original set. In fact, every set is always an improper subset of itself. This type of subset does not exclude any element from the parent set. It is an essential concept because it guarantees that every set will always have at least one subset—itself.
Examples:
Let $A = \{a, s, c\}$
Subsets of $A$:
$\{\}, \{a\}, \{s\}, \{c\}, \{a,s\}, \{a,c\}, \{s,c\}, \{a,s,c\}$
Here, $\{a,s,c\}$ is the improper subset, all others are proper.
Let $B = \{2, 3, 4\}$
Subsets of $B$:
$\{\}, \{2\}, \{3\}, \{4\}, \{2,3\}, \{2,4\}, \{3,4\}, \{2,3,4\}$
$\{2,3,4\}$ is the improper subset of $B$.
Some subsets have special significance in set theory:
A set that contains no elements.
It is a subset of every set.
It is always considered a proper subset of any non-empty set.
Example:
Let $A = \{x, y\}$, then:
$\emptyset \subset A$
A set that contains all elements under consideration for a particular discussion or problem.
Every set in the given context is a subset of the universal set.
Example:
If $U = \{1, 2, 3, 4, 5\}$ and $A = \{2, 3\}$, then:
$A \subseteq U$
Subsets can also be classified based on the number of elements they contain:
Contain a countable number of elements.
Can be listed exhaustively.
Example:
$A = \{2, 4, 6\}$ is a finite subset of $B = \{2, 4, 6, 8, 10\}$
$A \subset B$
Contain an uncountable or infinite number of elements.
Often seen in sets of natural numbers, real numbers, etc.
Example:
Let $A = \{2, 4, 6, 8, 10, \dots\}$ be the set of all even natural numbers
and $B = \mathbb{N}$ (set of all natural numbers), then: $A \subset B$
Here, $A$ is an infinite proper subset of the infinite set $B$.
Understanding the properties of subsets is crucial for working efficiently with set operations and relations in mathematics. These properties form the basis for how sets interact and are often used in proving statements or solving problems in algebra, logic, and number theory.
Below are the fundamental rules and characteristics that apply to all subsets:
Reflexive Property: Every set is always a subset of itself.
For any set $A$, $A \subseteq A$
Empty Set Property: The empty set is a subset of every set.
For any set $A$, $\emptyset \subseteq A$
Total Number of Subsets: If a set has $n$ elements, then the total number of possible subsets is given by: $2^n$
Proper Subsets Count: The number of proper subsets of a set with $n$ elements is: $2^n - 1$
Singleton Set: A set with a single element is called a singleton set and is a subset of any set that contains that element.
The relationship between sets and subsets is hierarchical and directional. It is based on element inclusion:
If $A \subseteq B$, every element of $A$ is in $B$, but $B$ may contain additional elements.
If $A \subset B$, then $A$ is a proper subset of $B$, meaning $A$ is not equal to $B$.
If $A = B$, both sets contain exactly the same elements; hence, $A$ is an improper subset of $B$.
Example:
Let $A = \{1, 2\}$ and $B = \{1, 2, 3\}$, then:
$A \subset B$ (proper subset)
$A \subseteq B$ (subset)
$A \ne B$
Also, note:
$\emptyset \subseteq A$
$A \subseteq A$
Several important theorems govern how subsets behave and relate to one another:
If $A \subseteq B$ and $B \subseteq C$, then $A \subseteq C$.
(This is known as the transitive property of subsets.)
The empty set is a subset of every set:
$\emptyset \subseteq A$
If $A$ has $n$ elements, then its power set—the set of all subsets—is denoted by $P(A)$ and contains:
$|P(A)| = 2^n$
where $|\cdot|$ denotes cardinality (number of elements).
Example:
Let $A = \{x, y\}$, then:
Subsets: $\emptyset$, $\{x\}$, $\{y\}$, $\{x, y\}$
Total subsets: $2^2 = 4$
The power set of a set is defined as a set of all the subsets (along with the empty set and the original set). The power set of a set Y is denoted by P(Y). If Y has 'n' elements then P(Y) has 2n elements. For example,
If E = {x, p}, then P(E) = { { }, {x}, {p}, {x, p} }
Total number of elements = 4 .
If A = {a, b, c}, then P(A) = { { }, {a}, {b}, {c}, {a, b}, {b, c}, {c, a}, {a, b, c} }
Observe that A has 3 elements and P(A) has 23 = 8 elements.
Power set of $A$:
$P(A) = \{\emptyset, \{x\}, \{y\}, \{x, y\}\}$
These properties and theorems help in building a strong foundation in understanding types of subsets, set operations, and logical proofs in higher mathematics.
In set theory and real analysis, intervals are special types of subsets of real numbers. They represent all real numbers lying between two endpoints and are widely used in functions, calculus, and inequalities. These intervals can be bounded or unbounded and are always subsets of the real number line $ \mathbb{R} $.
Intervals are classified based on whether their endpoints are included or not:
Open Interval $(a, b)$:
Includes all real numbers strictly between $a$ and $b$ (excluding endpoints).
$(a, b) = \{x \in \mathbb{R} \mid a < x < b\}$
Closed Interval $[a, b]$:
Includes all real numbers between $a$ and $b$, including both endpoints.
$[a, b] = \{x \in \mathbb{R} \mid a \leq x \leq b\}$
Half-Open Interval $[a, b)$:
Includes $a$ but not $b$.
$[a, b) = \{x \in \mathbb{R} \mid a \leq x < b\}$
$(a, b]$:
Includes $b$ but not $a$.
$(a, b] = \{x \in \mathbb{R} \mid a < x \leq b\}$
On a number line:
Closed dots represent inclusion of endpoints (used for $[a, b]$).
Open dots represent exclusion of endpoints (used for $(a, b)$).
Examples:
$[2, 5]$ → solid dots at 2 and 5
$(2, 5)$ → open dots at 2 and 5
$[2, 5)$ → solid dot at 2, open dot at 5
While intervals are continuous subsets of $\mathbb{R}$, general subsets can be discrete or non-continuous.
Interval Example:
$(1, 5) = \{x \in \mathbb{R} \mid 1 < x < 5\}$
General Subset Example:
$A = \{1, 2, 3, 5\}$
(Not an interval, as 4 is missing.)
Notation: Intervals use (, ), [, ]; subsets use curly braces ${}$.
Intervals may extend infinitely:
Left-Unbounded:
$(-\infty, b) = \{x \in \mathbb{R} \mid x < b\}$
Right-Unbounded:
$(a, \infty) = \{x \in \mathbb{R} \mid x > a\}$
Entire Real Line:
$(-\infty, \infty) = \mathbb{R}$
Example 1: Let $A$ and $B$ be two sets containing four and two elements respectively. Then the number of subsets of the set $A X B$, each having at least three elements is:
Solution: $A$ set $A$ is said to be a subset of a set $B$ if every element of $A$ is also an element of $B$.
wherein
It is represented by $\subset$. eg. $A \subset B$ if $A=\{2,4\}$ and $B=\{1,2,3,4,5\}$
Let $A$ having elements $\{\mathrm{a}, \mathrm{b}, \mathrm{c}, \mathrm{d}\}$ and $B$ having $\{\mathrm{e}, \mathrm{f}\}$
Then $A \times B$ having 8 elements and no. of subsets $=2^8=256$
No. of subsets $=\phi,(a e), \ldots \ldots(d f)$ and (ae, be) $\ldots \ldots \ldots=256$
Now $8$ subsets have only one element
$\{ae\},\{af\},\{be\},.......\{df\}$
Similarly
No of the sets having two elements
$\{ae,af\}, \{ae,be\}, .....\{ae,df\}=7$ elements
$\{af,be\},\{af,bf\}..........= 6$ elements
$7 + 6 + 5 + 4 + 3 + 2 + 1 = 28$ (having two elements)
and a subset having a single element $\phi$
$28 + 8+1 = 37$
At least three elements $= 256 - 37 = 219 $
Hence, the answer is $219.$
Example 2: If $A=\{1,2,3,5,7\}$ and $B=\{3,5\}$, then
1) $A \subset B$
2) $B \not \subset A$
3) $A=B$
4) $B \subset A$
Solution: All elements of $B$ are present in $A$ , thus $B \subset A$.
Hence, the answer is the option 4.
Example 3: If a set $A$ has $8$ elements, then the number of proper subsets of the $\operatorname{set} A$ is
Solution: Number of proper subsets $=2^8-1=256-1=255$
Hence, the answer is $255$.
Example 4: If a set has $256$ subsets. How many elements does it have?
1) $5$
2) $7$
3) $8$
4) $9$
Solution: $2^n=256$
$\Rightarrow n=8$
Hence, the answer is the option 3.
Example 5: If a set has $32$ subsets. How many elements does it have?
Solution: As we know, if a set has $n$ elements, it will have $2^n$ subsets.
Thus $2^n=32$
$\Rightarrow n=5$
Hence, the answer is $5$.
This section offers a set of carefully designed practice questions based on subsets and types of subsets, aimed to boost understanding of key set theory concepts. It includes multiple-choice questions covering finite and infinite sets, singleton sets, power sets, as well as operations like union, intersection, and difference of sets.
Subsets, Proper Subset, Improper Subset, Intervals - Practice Question MCQ
Practice questions on the next topics covering various concepts based on sets, properties of sets such as union, intersection, difference, etc.
Below is a recommended video that provides a clear and concise explanation of important concepts related to subsets. It covers topics such as subsets and types of subsets: proper and improper subsets, and intervals, helping you build a strong foundation through easy examples.
NCERT Useful Resources
This section provides a collection of valuable NCERT study materials for Class 11 Mathematics Chapter 1 – Sets. It includes comprehensive notes, solved NCERT textbook questions, and exemplar problems based on subsets and types of subsets along with other topics to help you strengthen your understanding and master the concepts effectively.
NCERT Maths Class 11 Chapter 1 Sets Notes
NCERT Maths Class 11 Chapter 1 Sets Solutions
NCERT Maths Exemplar Problems Class 11 Chapter 1 Sets
A subset is a set in which all elements are also contained within another set. If $I$ and $J$ are sets, then $I$ is a subset of $J$ (written as $I \subseteq J$ ) if every element of $I$ is also an element of $J$.
The symbol $\subseteq$ represents subset while $\subset$ represents proper subset.
The subsets of $A = \{1,2,3\}$ are $\{\}$, $\{1\}$, $\{2\}$, $\{3\}$, $\{1,2\}$, $\{2,3\}$, $\{1,3\}$ and $\{1,2,3\}$.
$A \subseteq B$ reperesents that $A$ is the subset of $B$.
Yes, here are some examples:
- Subsets: If $B=\{1,2,3,4\}$, then $A=\{2,4\}$ is a subset of $B$ because all elements of $A$ are in $B$.
- Proper Subsets: If $\mathrm{B}=\{1,2,3,4\}$, then $\mathrm{A}=\{1,2\}$ is a proper subset of $B$ because $A \subseteq B$ and $A \neq B$.
- Intervals:
- The closed interval $[1,5]$ includes all real numbers from $1$ to $5$ , including $1$ and $5$.
A subset is a set that contains some or all elements of another set. If every element of set A is also an element of set B, then A is a subset of B. This is denoted as A ⊆ B.
A proper subset is a subset that is strictly contained within another set, meaning it includes some but not all elements of the larger set. Unlike a regular subset, a proper subset cannot be equal to the original set.
The empty set, denoted as ∅ or {}, is a set that contains no elements. It is indeed a subset of every set, including itself, because all zero of its elements (since it has none) are contained in any other set.
Yes, every set is a subset of itself. This is because all elements of a set are, by definition, contained within that same set. This relationship is called a reflexive property of sets.
The symbol ⊂ denotes a proper subset, meaning A ⊂ B implies that A is contained in B, but A ≠ B. The symbol ⊆ denotes a subset that may or may not be proper, so A ⊆ B means A is contained in B, and A may or may not equal B.
A set with n elements has 2^n subsets. This includes the empty set and the set itself. For example, a set with 3 elements has 2^3 = 8 subsets.
The power set of a set S is the set of all possible subsets of S, including the empty set and S itself. It is denoted as P(S) or 2^S. For example, if S = {a, b}, then P(S) = {∅, {a}, {b}, {a, b}}.
Yes, two different sets can have the same subset. For example, the set {1, 2, 3} and the set {1, 2, 3, 4} both have {1, 2} as a subset.
A universal set, often denoted as U, is a set that contains all possible elements under consideration for a particular problem or context. All other sets in that context are subsets of the universal set.
To prove that set A is a subset of set B, you need to show that every element in A is also an element in B. This can be done by taking an arbitrary element from A and proving it must be in B, or by showing that if an element is in A, it must also be in B.
Two sets are equal if and only if they are subsets of each other. In other words, A = B if and only if A ⊆ B and B ⊆ A. This means they contain exactly the same elements.
No, a subset cannot have more elements than its parent set. By definition, a subset contains some or all elements of the parent set, so it can have equal or fewer elements, but never more.
Disjoint sets are sets that have no elements in common, while subsets are sets where all elements of one set are contained in another. Two sets can be disjoint without being subsets of each other, and subsets are not necessarily disjoint.
In a Venn diagram, subsets are represented by circles completely contained within larger circles. The larger circle represents the parent set, while the smaller, enclosed circle represents the subset.
The empty set being a subset of every set is a fundamental concept in set theory. It allows for consistent definitions and proofs, and it's crucial for many mathematical operations and theorems involving sets.
Yes, an infinite set can have finite subsets. For example, the set of all natural numbers (which is infinite) has many finite subsets, such as {1, 2, 3} or {5, 10, 15, 20}.
An element is a single item within a set, while a subset is a collection of elements from the original set. For example, in the set {1, 2, 3}, 1 is an element, while {1, 2} is a subset.
Subsets play a crucial role in set operations. For any sets A and B: if A is a subset of B, then A ∪ B = B and A ∩ B = A. Understanding subsets helps in simplifying and solving problems involving set operations.
A maximal subset is the largest possible subset that satisfies a given property. It cannot be expanded further while still maintaining that property. This concept is often used in optimization problems and advanced set theory.
The inclusion-exclusion principle is used to calculate the number of elements in the union of multiple sets. It involves adding and subtracting the sizes of various subsets to avoid double-counting elements that appear in multiple sets.
A characteristic function (also called an indicator function) of a subset A of a set X is a function that takes the value 1 for all elements of A and 0 for all elements of X that are not in A. It's a way of defining a subset using a function.
A partition of a set S is a collection of non-empty, disjoint subsets of S whose union is S. Each subset in a partition is called a part. Partitions divide a set into subsets that don't overlap and together include all elements of the original set.
In set theory, the subset relationship (A ⊆ B) is analogous to logical implication (p → q) in propositional logic. If A is a subset of B, then being an element of A implies being an element of B, just as p implying q means that if p is true, q must be true.
The cardinality of a subset is always less than or equal to the cardinality of its parent set. This relationship is expressed by the inequality |A| ≤ |B| if A ⊆ B, where |X| denotes the cardinality of set X.
Nested subsets are subsets that are contained within each other in a hierarchical manner. For example, if A ⊂ B ⊂ C, then A and B are nested subsets of C. This concept is important in understanding set hierarchies and in some mathematical proofs.
Subsets of infinite sets can be either finite or infinite. An infinite set can have infinitely many subsets, including both finite and infinite ones. This leads to interesting properties and paradoxes in set theory, such as Cantor's theorem.
If A is a subset of B, then the complement of B with respect to the universal set U is a subset of the complement of A. In other words, if A ⊆ B, then (U - B) ⊆ (U - A), where U is the universal set and "-" denotes set difference.
A sigma-algebra is a collection of subsets of a set that includes the empty set, is closed under complement, and is closed under countable unions. This concept is fundamental in measure theory and probability theory, where it defines measurable sets.
A proper superset is the opposite of a proper subset. If A is a proper subset of B, then B is a proper superset of A. It means that B contains all elements of A plus at least one additional element not in A.
In computer science, subsets are crucial in many algorithms and data structures. For example, in binary search trees, each node's left subtree is a subset of elements smaller than the node, and the right subtree is a subset of larger elements. Subsets also play a role in database design, where they help organize data hierarchically.
Subsets have a strong connection to Boolean algebra. The operations on sets (union, intersection, complement) correspond directly to Boolean operations (OR, AND, NOT). This relationship is fundamental in digital logic design and computer architecture.
In topology, a collection of subsets of a set X is called a topology on X if it includes both X and the empty set, is closed under finite intersections, and is closed under arbitrary unions. This defines which subsets are considered "open" in the topological space.
Subsets play a crucial role in defining functions. The domain of a function is a subset of its source set, and its range is a subset of its target set. Additionally, the graph of a function is a subset of the Cartesian product of its domain and codomain.
In probability theory, events are represented as subsets of the sample space. The probability of an event A is defined as P(A), where A is a subset of the sample space S. Subsets are essential in defining compound events, conditional probability, and independence.
A convex subset of a vector space is a subset where, for any two points in the subset, all points on the line segment connecting them are also in the subset. This concept is crucial in optimization theory and geometry.
In linear algebra, a basis is a subset of vectors in a vector space that spans the entire space and is linearly independent. Understanding subsets is crucial for identifying and working with bases, which are fundamental in solving systems of equations and understanding vector spaces.
The subset relation defines a partial order on the power set of any set. For any two subsets A and B of a set S, either A ⊆ B, B ⊆ A, or they are incomparable. This partial order is fundamental in order theory and has applications in computer science and logic.
In order theory, a filter on a set X is a collection of subsets of X that is closed under finite intersections and supersets. Filters are important in topology, set theory, and logic, providing a way to generalize the notion of convergence.
In topology, continuity is defined using subsets. A function f: X → Y between topological spaces is continuous if the preimage of every open subset of Y is an open subset of X. This definition generalizes the ε-δ definition of continuity in real analysis.
In group theory, a subgroup is a subset of a group that is itself a group under the same operation. Not every subset of a group is a subgroup; it must be closed under the group operation and contain the identity element and inverses of its elements.
Quotient sets are formed by partitioning a set into equivalence classes, which are subsets. Each equivalence class is a subset of the original set, and the collection of all equivalence classes forms the quotient set. This concept is crucial in abstract algebra and topology.
A σ-field (sigma-field) is a collection of subsets of a sample space that satisfies certain properties. It includes the sample space itself, is closed under complement, and is closed under countable unions. σ-fields are fundamental in defining probability measures.
In category theory, subsets can be generalized to the concept of subobjects. The category of sets and functions has a natural notion of subobject corresponding to subsets. This generalization allows for a more abstract treatment of "sub-structures" across different mathematical domains.
In formal language theory, languages are defined as subsets of the set of all possible strings over an alphabet. Regular languages, context-free languages, and other classes of languages are all defined in terms of specific types of subsets of the set of all strings.
A measure space is a triple (X, Σ, μ) where X is a set, Σ is a σ-algebra of subsets of X, and μ is a measure on Σ. The σ-algebra Σ is a collection of subsets of X that satisfies certain properties, and the measure μ assigns sizes to these subsets.
In order theory, a lattice is a partially ordered set in which every pair of elements has a unique supremum (least upper bound) and infimum (greatest lower bound). The power set of any set forms a lattice under the subset relation, with union and intersection as supremum and infimum operations.
The axiom of choice states that for any collection of non-empty sets, it is possible to select one element from each set to form a new set. This axiom is equivalent to stating that the Cartesian product of any collection of non-empty sets is non-empty, which involves considering subsets of the product set.
In functional analysis, function spaces are often defined as subsets of larger spaces with specific properties. For example, the space of continuous functions on an interval is a subset of the space of all functions on that interval. Understanding these subset relationships is crucial for studying properties of function spaces.
A topological manifold is a topological space that locally resembles Euclidean space. This is formalized by requiring that every point has a neighborhood that is homeomorphic to an open subset of Euclidean space. The concept of subsets is crucial in defining these local structures and in studying the global properties of manifolds.
A Boolean ring is a ring where every element is idempotent (x^2 = x for all x). The set of all subsets of a given set forms a Boolean ring under symmetric difference as addition and intersection as multiplication. This connection between subsets and Boolean rings is fundamental in studying Boolean algebras and their applications.
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