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Beta Function from Reduction Formulae (Mathematics)
Rating: 4.5 out of 5(1 rating)
1 students

Beta Function from Reduction Formulae (Mathematics)

Beta Function from Reduction formulae
Last updated 11/2024
English

What you'll learn

  • Teaching Beta function from Reduction formula with Examples for Engineering and Graduate students
  • 1.9 hours course with relation between Beta and Gamma function
  • Practice Example
  • 5 minute videos
  • Teaching in soft and understanble language

Course content

1 section8 lectures1h 9m total length
  • Introduction on Beta Function7:23
  • Example 15:27
  • Example 28:11
  • Example 314:45
  • Example 411:16
  • Example 55:31
  • Example 67:14
  • Example 79:21

Requirements

  • You will everything learn from basic
  • Basic of Mathematics

Description

Beta Function

Definition of Beta function

Introduction to Beta function

Beta Function from Reduction formulae

Examples on Beta function

Practice questions

Solved examples on Beta function with explanation

PPT videos on each TOPIC

Relation between on Beta and Gamma function

Beta function is discussed from reduction formulae. In that there are some examples which cannot be discussed with reduction formulae. It has some limitation of reduction formulae. So, we are using Beta function in that case.

The beta function is a mathematical function that is used to calculate probabilities and determine how likely two events are to happen at the same time. It is also used in mathematical statistics and probability theory.

The beta function is closely related to the gamma function and binomial coefficients. It is also known as the Euler integral of the first kind.

The beta function is used in many mathematical operations, including string theory, where it is used to compute scattering amplitudes. It is also used as a normalizing constant in the probability density functions of the F distribution and of the student's t distribution.

The beta function was studied by Leonhard Euler and Adrien-Marie Legendre and was given its name by Jacques Binet.

Beta


Who this course is for:

  • Engineering and any graduate students