Question
The polar equation of
is
Hint:
The term "polar coordinate system" refers to a two-dimensional coordinate system where each point's location on a plane is determined by its distance from a reference point and its angle with respect to a reference direction. Here we have to find the polar equation of
.
The correct answer is: ![r equals 4 C o t space theta C o s e c space theta](data:image/png;base64,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)
Using the formula, we may generate an endless number of polar coordinates for a single coordinate point.
(r, +2n) or (-r, +(2n+1)) are possible formulas, where n is an integer.
If measured in the opposite direction, the value of is positive.
When calculated counterclockwise, the value of is negative.
If laid off at the terminal side of, the value of r is positive.
If r is terminated at the prolongation through the origin from the terminal side of, it has a negative value.
The equation is given as: ![y to the power of 2 end exponent equals 4 x](data:image/png;base64,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)
Now lets xonsider: x=rcosθ and y=rsinθ
x2+y2=r2
Now putting the values, we get:
![y squared equals 4 x
r squared sin squared theta equals 4 r cos theta
r sin squared theta equals 4 cos theta
r equals 4 fraction numerator cos theta over denominator sin squared theta end fraction
r equals 4 space c o t space theta space cos e c space theta](data:image/png;base64,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)
Here we used the concept of polar coordinate system and also the trigonometric ratios to find the solution. So the equation is .
Related Questions to study
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The cartesian equation of
is
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Two tuning forks
and
are vibrated together. The number of beats produced are represented by the straight line
in the following graph. After loading
with wax again these are vibrated together and the beats produced are represented by the line
If the frequency of
is
the frequency of
will be
![](data:image/png;base64,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)
Two tuning forks
and
are vibrated together. The number of beats produced are represented by the straight line
in the following graph. After loading
with wax again these are vibrated together and the beats produced are represented by the line
If the frequency of
is
the frequency of
will be
![](data:image/png;base64,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)
If a hyperbola passing through the origin has
and
as its asymptotes, then the equation of its tranvsverse and conjugate axes are
Here we used the concept of polar coordinate system and also the trigonometric ratios to find the solution.
If a hyperbola passing through the origin has
and
as its asymptotes, then the equation of its tranvsverse and conjugate axes are
Here we used the concept of polar coordinate system and also the trigonometric ratios to find the solution.
Five distinct letters are to be transmitted through a communication channel. A total number of 15 blanks is to be inserted between the two letters with at least three between every two. The number of ways in which this can be done is -
Five distinct letters are to be transmitted through a communication channel. A total number of 15 blanks is to be inserted between the two letters with at least three between every two. The number of ways in which this can be done is -
The number of ordered pairs (m, n), m, n
{1, 2, … 100} such that 7m + 7n is divisible by 5 is -
The number of ordered pairs (m, n), m, n
{1, 2, … 100} such that 7m + 7n is divisible by 5 is -
Consider the following statements:
1. The number of ways of arranging m different things taken all at a time in which p
m particular things are never together is m! – (m – p + 1)! p!.
2. A pack of 52 cards can be divided equally among four players in order in
ways.
Which of these is/are correct?
Consider the following statements:
1. The number of ways of arranging m different things taken all at a time in which p
m particular things are never together is m! – (m – p + 1)! p!.
2. A pack of 52 cards can be divided equally among four players in order in
ways.
Which of these is/are correct?
The total number of function ‘ƒ’ from the set {1, 2, 3} into the set {1, 2, 3, 4, 5} such that ƒ(i)
ƒ(j),
i < j, is equal to-
The total number of function ‘ƒ’ from the set {1, 2, 3} into the set {1, 2, 3, 4, 5} such that ƒ(i)
ƒ(j),
i < j, is equal to-
The number of points in the Cartesian plane with integral co-ordinates satisfying the inequalities |x|
k, |y|
k, |x – y|
k ; is-
The number of points in the Cartesian plane with integral co-ordinates satisfying the inequalities |x|
k, |y|
k, |x – y|
k ; is-
The numbers of integers between 1 and 106 have the sum of their digit equal to K(where 0 < K < 18) is -
The numbers of integers between 1 and 106 have the sum of their digit equal to K(where 0 < K < 18) is -
The straight lines I1, I2, I3 are parallel and lie in the same plane. A total number of m points are taken on I1 ; n points on I2 , k points on I3. The maximum number of triangles formed with vertices at these points are -
The straight lines I1, I2, I3 are parallel and lie in the same plane. A total number of m points are taken on I1 ; n points on I2 , k points on I3. The maximum number of triangles formed with vertices at these points are -
If the line
is a normal to the hyperbola
then ![fraction numerator a to the power of 2 end exponent over denominator l to the power of 2 end exponent end fraction minus fraction numerator b to the power of 2 end exponent over denominator m to the power of 2 end exponent end fraction equals](data:image/png;base64,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)
So here we understood the concept of hyperbola and the normal lines.In analytic geometry, a hyperbola is a conic section created when a plane meets a double right circular cone at an angle that overlaps both cone halves. So the value of .
If the line
is a normal to the hyperbola
then ![fraction numerator a to the power of 2 end exponent over denominator l to the power of 2 end exponent end fraction minus fraction numerator b to the power of 2 end exponent over denominator m to the power of 2 end exponent end fraction equals](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFwAAAAqCAYAAAA+lDyEAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAABGJhU0UAAAAbSkFbcgAAAkNJREFUeNrtmjFLA0EQhRcRCRaChQQJIoiI+AdELGysLCSdWKaxsLQJEoKIvYWdWIiFCEFSiV2QFHYiYimIlUgQLERCEOGcyU3gOPfgLiHnG90PHniDxdt1bnfPfcb8XzzRJ+maNO1Mp8MAaZN060ynS8uZTo8lUt2Z7p6mvHVxGJflcErTZCOZ5n3kPubvzpAuxL8a0EznSWcxm+SSNIK0Ee6SGnIKuSNNopsmdkgl8f4i+8qVpSHY9yxS53LXHpBGZfIr0j3QpsXnI6kY8L5v6XrPol9jXYwHOSGtIJsWHkhzoRq/ge/I6zK/gguhWt2ypCB+DzQt9Qz6hIePVfzzh4INfF6aJQw3Tw3Z+GvoeVHJVyQvhceW+hapjGz8WV7DDmz2XMGE8yZfCNWG5FwOfdbeIx3KUsLr9qmcSNCpyqa5LM85qRU0fNCU5KRSlm5vWI6FaLDHVZn0L/l2yBuljBmHw+Fw9BEvhhya/lrdqB/d4aUsh1tSHA6Ho+e1S3MASOVY/kIASOVYWn/o7YUfi8rUkoax2NJMKlNLEUCNxZZmUplaigBuLOE0E2IAqJfOhhsLp5mKgWe0AFDHX9b495p888Opq06OhgNBHAZ6M35cYht4LG3CqSu0/xlUZNJvjH9zP2j8u9gn6WDeCNekPiEnkSzoWNrwHWEOeFlgfzXp5CCcPjiKqMPuPVFpJjR/wwnrsESlmdD9Ja3DEJVmQveXtA4D7/obCv0lrcNQNT9jyhr8Ja3DwGfXjEJ/Seup8A0wjuluqiH/JQAAAPV0RVh0TWF0aE1MADxtYXRoIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8xOTk4L01hdGgvTWF0aE1MIj48bWZyYWM+PG1zdXA+PG1pPmE8L21pPjxtbj4yPC9tbj48L21zdXA+PG1zdXA+PG1pPmw8L21pPjxtbj4yPC9tbj48L21zdXA+PC9tZnJhYz48bW8+LTwvbW8+PG1mcmFjPjxtc3VwPjxtaT5iPC9taT48bW4+MjwvbW4+PC9tc3VwPjxtc3VwPjxtaT5tPC9taT48bW4+MjwvbW4+PC9tc3VwPjwvbWZyYWM+PG1vPj08L21vPjwvbWF0aD4H3Vu/AAAAAElFTkSuQmCC)
So here we understood the concept of hyperbola and the normal lines.In analytic geometry, a hyperbola is a conic section created when a plane meets a double right circular cone at an angle that overlaps both cone halves. So the value of .
If the tangents drawn from a point on the hyperbola
to the ellipse
make angles α and β with the transverse axis of the hyperbola, then
So here we understood the concept of hyperbola and the normal lines.In analytic geometry, a hyperbola is a conic section created when a plane meets a double right circular cone at an angle that overlaps both cone halves. So the correct relation is
If the tangents drawn from a point on the hyperbola
to the ellipse
make angles α and β with the transverse axis of the hyperbola, then
So here we understood the concept of hyperbola and the normal lines.In analytic geometry, a hyperbola is a conic section created when a plane meets a double right circular cone at an angle that overlaps both cone halves. So the correct relation is
The eccentricity of the hyperbola whose latus rectum subtends a right angle at centre is
The eccentricity of the hyperbola whose latus rectum subtends a right angle at centre is
If r, s, t are prime numbers and p, q are the positive integers such that the LCM of p, q is r2t4s2, then the number of ordered pair (p, q) is –
Finding the smallest common multiple between any two or more numbers is done using the least common multiple (LCM) approach. A number that is a multiple of two or more other numbers is said to be a common multiple. Here we understood the concept of LCM and the pairs, so the total pairs can be 225.
If r, s, t are prime numbers and p, q are the positive integers such that the LCM of p, q is r2t4s2, then the number of ordered pair (p, q) is –
Finding the smallest common multiple between any two or more numbers is done using the least common multiple (LCM) approach. A number that is a multiple of two or more other numbers is said to be a common multiple. Here we understood the concept of LCM and the pairs, so the total pairs can be 225.
A rectangle has sides of (2m – 1) & (2n – 1) units as shown in the figure composed of squares having edge length one unit then no. of rectangles which have odd unit length
![](data:image/png;base64,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)
Here we used the concept of number system and the rectangle, we can also solve it by permutation and combination. herefore, we get the number of rectangles possible with odd side length = m2n2.
A rectangle has sides of (2m – 1) & (2n – 1) units as shown in the figure composed of squares having edge length one unit then no. of rectangles which have odd unit length
![](data:image/png;base64,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)
Here we used the concept of number system and the rectangle, we can also solve it by permutation and combination. herefore, we get the number of rectangles possible with odd side length = m2n2.