Siliguri Rd, Jalpaiguri Details verified of Aastha S.✕
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Bachelor of Business Administration (B.B.A.)
Siliguri Rd, Jalpaiguri, India - 735101
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A
Army Public School
Binnaguri Cantt, Madarihat
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Spoken English classes
3
Age groups catered to
10 yrs to 15 yrs
Levels of Spoken English I teach
Advanced
Lived or Worked in English Speaking Country
No
Exams Attended
IELTS
Awards and Recognition
Yes
Certification
None
Profession
Tutor
Language of instruction offered
Hindi to English
Curriculum Expertise
CBSE
Citizen of English Speaking Country
Yes
Class strength catered to
Group Classes
Teaching done in
Vocabulary, English Grammar, Basic Spoken English
Teaching at
Home
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Class 12 Tuition
3
Board
CBSE
Preferred class strength
Group Classes
Subjects taught
English, Economics, Business and Management
Taught in School or College
No
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Fees
₹ 250.0 per hour
Answered on 01/11/2025 Learn Exam Coaching/Engineering Entrance Coaching/Mathematics for Engineering Entrance for Beginners to Advanced
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Post a Lesson
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Answers 52 
Comments Answered on 01/11/2025 Learn Exam Coaching/Engineering Entrance Coaching/Mathematics for Engineering Entrance for Beginners to Advanced
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Post a Lesson
A **vector space** is a set of objects called **vectors** along with two operations—**vector addition** and **scalar multiplication**—that satisfy certain rules (axioms).
Formally, a set over a field (like real numbers ℝ) is a vector space if:
1. **Closure under addition:** If , then .
2. **Commutativity of addition:** .
3. **Associativity of addition:** .
4. **Existence of zero vector:** There exists such that .
5. **Existence of additive inverse:** For each , there exists such that .
6. **Closure under scalar multiplication:** If and , then .
7. **Distributive laws:**
-
-
8. **Associativity of scalar multiplication:** .
9. **Multiplicative identity:** .
**Example:**
- (all 2D vectors with real components) is a vector space over .
- Polynomials of degree ≤ n form a vector space.
Like 0 Answers 52 Comments Ask a Question
Also have a look at
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Spoken English classes
3
Age groups catered to
10 yrs to 15 yrs
Levels of Spoken English I teach
Advanced
Lived or Worked in English Speaking Country
No
Exams Attended
IELTS
Awards and Recognition
Yes
Certification
None
Profession
Tutor
Language of instruction offered
Hindi to English
Curriculum Expertise
CBSE
Citizen of English Speaking Country
Yes
Class strength catered to
Group Classes
Teaching done in
Vocabulary, English Grammar, Basic Spoken English
Teaching at
Home
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Class 12 Tuition
3
Board
CBSE
Preferred class strength
Group Classes
Subjects taught
English, Economics, Business and Management
Taught in School or College
No
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Fees
₹ 250.0 per hour
Answered on 01/11/2025 Learn Exam Coaching/Engineering Entrance Coaching/Mathematics for Engineering Entrance for Beginners to Advanced
Ask a Question
Post a Lesson
Like 0 Answers 52 Comments Answered on 01/11/2025 Learn Exam Coaching/Engineering Entrance Coaching/Mathematics for Engineering Entrance for Beginners to Advanced
Ask a Question
Post a Lesson
A **vector space** is a set of objects called **vectors** along with two operations—**vector addition** and **scalar multiplication**—that satisfy certain rules (axioms).
Formally, a set over a field (like real numbers ℝ) is a vector space if:
1. **Closure under addition:** If , then .
2. **Commutativity of addition:** .
3. **Associativity of addition:** .
4. **Existence of zero vector:** There exists such that .
5. **Existence of additive inverse:** For each , there exists such that .
6. **Closure under scalar multiplication:** If and , then .
7. **Distributive laws:**
-
-
8. **Associativity of scalar multiplication:** .
9. **Multiplicative identity:** .
**Example:**
- (all 2D vectors with real components) is a vector space over .
- Polynomials of degree ≤ n form a vector space.
Like 0 Answers 52 Comments Ask a Question
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